38 Empregos para Engenheiro De Deep Learning - Portugal
Data Science Mastermind
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We're looking for bright Data Science Masterminds to join our team
At Critical TechWorks, our Data Scientists play a pivotal role in steering the future of mobility. With a blend of technology, creativity, and analytical prowess, you will be instrumental in unlocking insights from vast data, driving innovation in areas across the whole universe of the automotive industry. If you are passionate about harnessing data to shape the future of automotive experiences, this is where your journey begins.
- Advanced Statistical Analysis: Apply your expertise in statistics to analyze complex datasets, uncovering patterns and insights that inform key decisions.
- Machine Learning Model Development: Design and refine machine learning models, enhancing the capabilities and intelligence of BMW's systems.
- Data Visualization and Communication: Craft compelling visualizations and convey findings to stakeholders, translating complex data into actionable insights.
- Experimentation and A/B Testing: Lead rigorous testing to evaluate the effectiveness of different strategies and approaches, ensuring continuous improvement.
- Collaborative Solution Design: Work closely with cross-functional teams, including engineers and product visionaries, to design data-driven solutions that align with strategic objectives.
Whatever you're working on, here's the lowdown on the technical skills you're likely to have:
- At least 3 years of experience in technical software engineering, good scripting, and programming skills with at least one programming language (Python, Scala) and proficiency with data science libraries (e.g. Pandas, Numpy, matplotlib, seaborn, sklearn).
- Experience with data querying languages (e.g. SQL).
- Experience working with public cloud platforms, especially AWS, and according to technologies and services is a plus (e.g. Apache Spark/ AWS glue, Apache HIVE/ AWS Athena, Jupyter/ AWS Sagemaker, ML-LIB).
- Experience with IaC such as Terraform is a plus.
- Expertise with quantitative analysis, experimentation, and data mining.
- Advanced experience in applied statistics, Machine Learning, or related fields.
- Experience in analyzing and visualizing complex statistical data is a big plus.
- Experience in automotive data processing / data science is a big plus.
CTW's Daily Toolkit
Skills
Apart from great technical skills, our environment is fast-paced and 100% agile, and prioritizes autonomy, teamwork, interaction and resilience. This means our Data Scientists
must also
possess the following:
- Embrace agile and its implementation frameworks namely Scrum, to make the most out of all its events and work to keep evolving a high-performing team.
- Be available to be a cross-functional team member by using and developing new skills and enabling a fully responsible team able to cover the whole product lifecycle.
- Use standard software engineering practices and tools like version control, IDEs, data dashboards, to manage and keep a systematic and organized development process.
- Use state of the art DevOps quality practices and tools such as Continuous Integration /Continuous Deployment (CI/CD) pipelines to build, analyse, perform automated testing and deployment processes, to ensure a streamlined and reliable development workflow.
- Run and operate developed software inside and outside working hours if needed, to provide high quality software services (extra compensation will be applicable).
- Be available to travel abroad for short periods, as required to support all the phases of the product development cycle when needed.
- Have excellent English oral and written skills. German communication skills will be a plus.
Who we are
Critical TechWorks seeks a distinct and treasured corporate culture, that is very much our own. This means:
- Growth and Innovation: Be a key player in shaping the future of mobility through innovative ideas.
- Engineering Excellence: Immerse yourself in an environment valuing engineering process, where we create, innovate, lead, and make a tangible impact.
- Autonomy and Collaboration: Thrive in a culture that blends autonomy with teamwork, contributing to groundbreaking developments.
- Continuous Learning: Embrace constant skill enhancement in a dynamic workplace, where your contributions impact cutting-edge technology projects.
Join Critical TechWorks on our journey of innovation, excellence, and redefining the future of motion, one product at a time.
Notice:
Apply to only one job; our Talent Team will analyze your profile and consider you for all relevant positions.
At Critical Techworks we are creating an inclusive culture that values our people's different viewpoints and experiences, regardless of sexual orientation, gender identity, age,
color, ethnicity, religion, or disability.
Critical TechWorks is a joint venture to lead the future of motion. Established in 2018, Critical TechWorks is a company formed as a result of a partnership between BMW Group and Critical Software. Critical TechWorks is exclusively put together to support BMW in building software for its future driving machines.
Artificial Intelligence Pioneer
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Junta-te à nossa Equipa
O Grupo Nabeiro | Delta Cafés pretende reforçar a sua equipa da Direção Innovation, Marketing & Strategy com um AI Pioneer em Lisboa.
Principais Responsabilidades
- Explorar e testar ferramentas de IA que possam trazer ganhos práticos imediatos
- Mapear oportunidades de aplicação por área, com foco em produtividade, redução de custos e inovação
- Criar conteúdos práticos (vídeos, tutoriais, guias de prompts) para capacitar toda a equipa
- Conduzir sessões de formação e demonstrações hands-on com foco em impacto real no trabalho diário
- Trabalhar com os diretores para definir prioridades, quick wins e objetivos claros por área
- Definir e acompanhar KPIs de adoção e impacto
- Promover uma abordagem segura, responsável e alinhada com a política interna de dados
O Que Valorizamos
- Licenciatura/Mestrado em Gestão, Gestão de Dados, Gestão de Informação ou área similar
- Forte literacia digital e curiosidade sobre novas tecnologias
- Experiência prática como utilizador avançado de IA generativa
- Capacidade de simplificar e ensinar conceitos técnicos a "não técnicos"
- Facilidade de comunicação com diferentes perfis (criativos, gestores, analistas)
- Organização e autonomia na condução de projetos transversais
- Espírito de missão e capacidade de influenciar internamente
- Fluência em inglês
- Proatividade e dinamismo
- Espírito de equipa
Se consideras ter o perfil que procuramos, responde a esta oportunidade.
Vem tomar o café da tua vida
Artificial Intelligence Researcher
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We're looking for an
AI Researcher
to join our team and work on the development of
next-generation AI architectures
. If you're curious, love to experiment, and know how to turn ideas into real-world solutions, this role is for you.
What You'll Do:
- Design and test
new AI architectures
. - Develop
complex workflows that connect multiple models
, e.g.: - → transcription → generation → response → feedback.
- Structure experiments with clear methods and evaluation frameworks.
- Implement integrations using
Model Context Protocol (MCP)
or other advanced techniques. - Explore
prompt engineering
strategies in a systematic way. - Collaborate with engineering and product teams to
bring prototypes to production
.
Tech Stack:
- Python
, including asynchronous programming (multiple concurrent flows). - Hugging Face
(Transformers / Datasets),
Scikit-learn
. - LLM APIs
(OpenAI, Anthropic, or equivalent). - LangChain
,
LangGraph
,
LangSmith
. - Tavily
or similar platforms enabling LLM-based web navigation. - Pydantic
or
JSON Schema
for structured outputs. - Docker
and containerization methods. - Weights & Biases
or
MLflow
for experimentation and tracking.
What We're Looking For:
- Strong experience in
Python
and working with
multimodal models / LLMs
. - Ability to
structure complex workflows
and think at a systems level. - Knowledge of
real-time systems
. - Master's or Ph.D.
in Data Science, AI, or a related field. - Strong collaboration skills with multidisciplinary teams.
Nice to have:
- Publications in AI journals or conferences.
- Relevant open-source contributions.
- Experience in applied research environments or deep tech startups.
What We Offer:
- Cutting-edge projects in
Generative and Multimodal AI
. - A collaborative and multidisciplinary environment.
- Freedom to explore, innovate, and publish.
- Competitive salary and attractive benefits.
If you're passionate about applied AI and want to work at the
frontier of innovation
, we'd love to hear from you.
Apply directly here on LinkedIn
Artificial Intelligence Consultant
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We are seeking an AI Consultant to be part of an innovative project in a top tier fintech organization.
The perfect consultant should be able to perform integrations with the following tasks:
- In depth analysis of machine learning models
- strategic vision in relation to AI based digital transformation
- LLMs
- Market analysis
The main focus is to help design and orchestrate virtual AI teams (multi-agent systems) that collaborate like human teams — including role assignment, task decomposition, and feedback loops — to deliver scalable, autonomous solutions.
Proven capacity and ate least 1
year of experience working fulltime on AI Innovation is Mandatory
.
This position requires English as mandatory and on-site work at the office (1x / week) in Porto.
Sr. Artificial Intelligence Engineer
Publicado há 14 dias atrás
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Come join us
As a member of our fast-growing Data Science team, you'll work across Avanade's Analytics practice to deliver bespoke solutions for some of the world's leading businesses. This practice is a high growth area and the massive amounts of information our clients collect can become their most valuable new asset in the hands of people like you data science experts with the ability to gain actionable insights from data.
As you bring your skills and abilities to Avanade, you'll get distinctive experiences, limitless learning and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You'll join a community of smart, supportive collaborators to lift, mentor and guide you, but to also lean on your expertise. You get a company purpose-built
for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact and live. It's all here, so take a closer look! Together we do what matters
What you'll do
- Support project teams in developing solutions for Avanade's clients driven by exploratory data analysis
- Devise solutions to client business problems that leverage data-driven analytical techniques
- Execute practical predictive analytics, machine learning and data mining techniques
- Develop and interpret statistical models
- And other responsibilities as assigned
Skills and experiences
- Data scientists with deep understanding of business issues faced by our clients and consulting experience with significant client impact and value creation
- Advanced statistics software (SAS, SPSS, R) and advanced modelling techniques (statistical modelling methods, time series, text mining and optimization) to solve business problems
- Microsoft Professional Program Certificate in Data Science
- Experience with Big Data technologies (Hadoop, Cloudera, NoSQL, Cassandra, Pig)
- Software development skills in one or more high-level languages (C#/C/C++/Java/F#), one or more scripting languages (Python/Perl/Shell)
- Experience with AWS or Azure and data querying tools (SQL and visualization tools, Tableau, Qlikview)
About you
Characteristics that can spell success for this role
· Consultative, collaborative, curious
· Resilient, adaptable, flexible
· Humble leader, master negotiator, relationship builder
· Passionate about tech and engaging with and advising clients
Enjoy your career
Some of the best things about working at Avanade
· People-first culture that supports innovation and encourages people to move forward
· Turn your ideas to human impact by cultivating a team that will help clients unlock what's next
· Opportunities to innovate in the Microsoft platform while charting your own career path
· On-the-job growth through hackathons, innovation contests, and other expressions of our passion for innovating with purpose
· Real-time access to technical and skilled resources globally
Find out more about some of our benefits (1) here.
A great place to work
As you bring your skills and abilities to Avanade, you'll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You will join a community of smart, supportive collaborators to lift, mentor, and guide you, but to also lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It's all here, so take a closer look! Together we do what matters.
We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our (2) Inclusion & Diversity page.
Create a future for our people that focuses on
- Expanding your thinking - Experimenting courageously - Learning and pivoting
Inspire greatness in our people by
- Empowering every voice - Encouraging boldness - Celebrating progress
Accelerate the impact of our people by
- Amazing the client - Prioritizing what matters - Acting as one
Learn more
To learn more about the types of projects our Data & AI team works on check out these case studies:
· (3) Washington Maritime Blue 5G Case Study
· (4) Siemens Chatbot Client Story
Interested in knowing what's going on inside Avanade? Check out our blogs:
· (5) Avanade Insights - exchange ideas that drive tomorrow's innovation
· (6) Inside Avanade - explore what life is like working at Avanade
References
Visible links
1. work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Avanade believes that all persons are entitled to equal employment opportunities, and we do not discriminate against our employees, applicants, or job seekers because of their race, color, gender, religion, national origin, disability, veteran status, age, marital status, sexual orientation, genetic information, gender identity, or any other protect group status as defined by law.
AI & Data Science Intern – Industrial Innovation & Generative AI (m/f/d)
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Job ID
Posted since
02-Jul-2025
Organization
Foundational Technologies
Field of work
Internal Services
Company
Siemens S.A.
Experience level
Recent College Graduate
Job type
Full-time
Work mode
Hybrid (Remote/Office)
Employment type
Fixed Term
Location(s)
- Amadora - Lisboa - Portugal
Create a better #TomorrowWithUs
At Siemens, we build technology solutions to shape the world we live in. We transform industries and societies by combining the real and digital worlds. With over of the world's most forward-thinking minds and the power of a presence in more than 190 countries, we make a truly global impact.
At the Portugal Tech Hub, we take on challenges to make life easier, safer, and more sustainable for us and generations to come. We bring value to the business digitalization transition, from Portugal to the world, in areas such as Artificial Intelligence, Analytics & Business Intelligence, Application Lifecycle Management, Cybersecurity, IT Infrastructure Management, IT Project & Service Management, IT Strategy, User Experience, and many more.
With a decade of history and around 1.600 experts, the Portugal Tech Hub is the home of the new technologists – Dream Builders, Impact Creators & Future Makers.
Are you one of them? Come join us
About Siemens Foundational Technologies Department
Siemens Foundational Technologies is the central in-house research unit at Siemens and as such occupies an outstanding position within Siemens' R&D facilities. It acts as a strategic partner to support Siemens' business units with R&D services, protects the company's intellectual property, coordinates the collaboration with top universities worldwide, and supports standardization activities in all business units and regions. Through its R&D activities in Germany, USA, Portugal, China, India, Japan, and Eastern Europe, Siemens Technology helps to secure the company's technological future and strengthen its ambition.
Your mission will be…
This role is an opportunity for a junior data scientist who is enthusiastic about developing of applications in such areas as satellite and drone images processing, industrial monitoring and analytics, power grids optimization, leak detection in the pipelines, and many others. The business demands new ways of data processing, analysis and visualization, as well as performance optimization and process management based on cutting-edge technologies in web, big data and streaming.
What are the responsibilities?
- Contribute to the development of advanced analytics components within industrial systems, spanning Generative AI, computer vision, condition monitoring, signal processing, and beyond
- Leverage large-scale, heterogeneous industrial data to build impactful AI/ML solutions that address real-world operational challenges
- Support the exploration of untapped opportunities in Generative AI and big data for design, engineering, and analytical applications
- Assist in rapid prototyping, feasibility studies, and the formulation of groundbreaking approaches to validate new ideas
- Collaborate with a highly skilled team of machine learning engineers and software developers in a dynamic, innovation-driven environment
We are looking for someone with:
- Strong background in mathematics, physics or computer science
- Experience and deep understanding in machine learning, signal processing and data mining
- Practical experience with deep neural networks (LLMs or computer vision models)
- Basic software development skills (Git, IDE, Linux)
- Good knowledge of Python or another programming language
- Proficiency with basic data structures and algorithms
- Experience in handling and analyzing large data sets
What you can expect from us…
A 12-month internship with allowance on a hybrid and flexible working model designed to enhance your work-life balance while supporting your studies. In addition, you'll have access to online learning platforms and discounts with our partners.
What makes us proud as an employer:
- Merco – Companies and Leaders with the Best Reputation in Portugal (#1 Technology/Manufacturing)
- Forbes – World's Best Employers (#1 Engineering & Manufacturing)
- LinkedIn – LinkedIn Top Companies (#2)
- OnStrategy – REPSCORE 2024: Brands' Reputation in Portugal (#1 Engineering & Electronic Services)
- Fortune – World's Most Admired Companies (#1 Industrial Machinery)
- Teamlyzer – Company with the Best Interviews (#1 Technology)
Selection steps:
Our process starts with a review of your CV and if you move on to the next phase, you will be invited to do a video/phone interview in English. The final step will be an interview with your manager and/or team to get to know you better
Please attach your CV in English.
#Siemens #PortugalTechHub
Siemens is committed to creating a diverse environment and is glad to be an equal opportunity employer. We strongly encourage applications from a diverse talent pool
Principal Security Architect Artificial Intelligence
Publicado há 17 dias atrás
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PRINCIPAL SECURITY ARCHITECT ARTIFICIAL INTELLIGENCE
At Amgen, Technology isn't just a support function-it's a catalyst for discovery, transformation, and real-world impact. Here, your ideas fuel innovation that improves and saves lives of patients in dire need of our medicines. Are you ready to do meaningful work that matters?
LIVE
What you will do
As a **Principal Security Architect Artificial Intelligence** , you'll work at the intersection of science, data, and innovation. You'll collaborate with world-class experts across domains to build high-impact digital solutions that accelerate research, streamline operations, and empower better patient outcomes.
You will lead the design and governance of secure Artificial Intelligence and Machine Learning (AI/ML) systems across our biotechnology ecosystem in Amgen. The Security Architect ensures that advanced AI technologies used in R&D, clinical development, and digital health are resilient, compliant, and ethically designed.
The Security Architect will collaborate with cross-functional teams - cybersecurity, bioinformatics, data science, regulatory affairs, and IT - to integrate security into the AI lifecycle. Responsibilities include establishing architectural standards, threat modeling, secure MLOps design, and regulatory alignment for AI systems critical to scientific innovation and patient outcomes.
Let's do this. Let's change the world. In this vital role you will:
+ Design and enforce enterprise-level AI/ML security architectures for platforms used in drug discovery, genomics, clinical data analysis, and diagnostics.
+ Ensure security best practices are applied from data acquisition, model training, and validation to deployment, monitoring, and decommissioning.
+ Lead AI-specific threat modeling to address risks such as adversarial attacks, data poisoning, model inversion, and intellectual property leakage.
+ Ensure alignment with healthcare and biotech regulations (e.g., HIPAA, GDPR, 21 CFR Part 11, GxP) and contribute to AI governance and ethical risk frameworks.
+ Architect secure, scalable MLOps pipelines that enable model reproducibility, auditability, version control, and automated security validation.
+ Act as a trusted advisor to R&D, clinical, data science, and infrastructure teams, providing guidance on secure AI design and deployment.
+ Evaluate and integrate AI security tools and frameworks for monitoring, explainability, data privacy, and adversarial robustness.
+ Experience securing containers and orchestrators (Docker, Kubernetes) in AI environments, including runtime security and policy enforcement.
+ Conduct formal reviews of AI system designs, ensuring alignment with enterprise cybersecurity strategy, architectural standards, and zero-trust principles.
+ Proficiency in automating security through IaC tools like Terraform, AWS CloudFormation, and CI/CD integration (GitHub Actions, Jenkins, etc.).
+ Influence enterprise AI security strategy by tracking industry trends, emerging threats, and innovations in synthetic biology, generative models, and AI biosecurity.
+ Domestic and International travel up to 10%.
WIN
What we expect of you
We are all different, yet we all use our unique contributions to serve patients. The tech professional we seek is a creative problem-solver and a team player with these qualifications:
+ Bachelor's or Master's degree in Computer Science, Engineering, IT or a related field.
+ 5-7+ years of experience designing, developing, or managing machine learning systems, with a strong understanding of AI pipelines.
+ Knowledge of designing AI systems with traceable training data, model lineage tracking, reproducibility, and audit trail integration.
+ Experience designing secure MLOps pipelines using tools such as MLflow, Kubeflow, SageMaker Pipelines, or Vertex AI Pipelines.
+ Familiarity with tools like SHAP, LIME, IBM AI Fairness 360, and Google's What-If Tool to address AI model transparency and bias.
+ Hands-on experience implementing security for AI/ML systems used in clinical research, genomics, drug discovery, diagnostics, or digital health.
+ Demonstrated knowledge of adversarial machine learning techniques and defenses, including model evasion, poisoning, or inversion.
+ Relevant credentials such as CISSP, CCSP, CISM, Certified AI Security Specialist, or GIAC certifications in machine learning and cloud security.
+ Knowledge and application of responsible AI practices, AI ethics, model explainability, and governance frameworks such as NIST AI RMF or ISO/IEC 23894.
+ Experience with AI/ML models applied to protein folding, biomarker discovery, clinical trial optimization, or personalized medicine.
+ Ability to incorporate threat intelligence into AI risk assessments and apply it to proactive model defense strategies.
+ Deep understanding of HIPAA, 21 CFR Part 11, GxP, GDPR, and other regulations impacting AI use in healthcare and biotechnology.
+ Expertise in securing sensitive biomedical and genomic data, including anonymization, encryption, and privacy-preserving machine learning techniques.
+ Proven ability to collaborate across security, legal, compliance, data science, and executive teams to influence AI risk and strategy.
+ Fluency in English.
THRIVE
What you can expect of us
As we work to develop treatments that take care of others, we also care deeply for our teammates' well-being and growth.
+ **Work That Matters** - Build tech that accelerates scientific breakthroughs and helps patients worldwide.
+ **Modern Tech Stack** - Cloud-first, automation-focused, AI-powered.
+ **Global Scale, Agile Mindset** - Collaborate across continents while working in nimble, high-impact teams.
+ **Continuous Learning** - Access to certifications, trainings, mentorship, and career mobility.
+ **Amgen Total Rewards Plan** - Comprehensive benefits in healthcare, finance, and well-being.
+ **Flexibility** - Hybrid work model with time split between our Lisbon office and remote work.
APPLY NOW
Objects in your future are closer than they appear. Join us.
CAREERS.AMGEN.COM
EQUAL OPPORTUNITY STATEMENT
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation
Seja o primeiro a saber
Sobre o mais recente Engenheiro de deep learning Empregos em Portugal !
Machine Learning Engineer
Publicado há 5 dias atrás
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With just over 7 years of experience in the Portuguese market, we share our DNA with more than 200 workers and position our offer according to 3 lines of service:
- Strategy (Outsourcing, NeXel, Team as a Service, Tech Academies);
- R&D (Bootcamps, POC, Tech Lab);
- Nearshore.
In ADENTIS, we focus on PEOPLE. This is our emotional salary:
- Great Work-Life balance;
- Very flexible organizational routine;
- Health benefits (for you and your family);
- Team Building activities;
- Over 300 protocols to offer you great discounts in different areas;
- Continuous professional development sponsored by our Training and Certification Department;
- Regular feedback on your performance through a personalized plan;
- Comprehensive career plan and progression involving assertive performance reviews.
Responsibilities:
- Develop and implement machine learning models tailored to CRM and platform contexts.
- Design and deploy models for retention use cases, anomaly detection, regression analysis, and other predictive analytics tasks.
- Create and manage automated data pipelines for efficient data processing and model deployment.
- Ensure seamless integration of machine learning models into existing systems and workflows.
- Monitor data flows to ensure the quality, consistency, and reliability of data used for machine learning models.
- Troubleshoot and resolve data-related issues promptly to maintain smooth operations.
- Utilize Azure Databricks for data processing, model training, and deployment.
- Optimize the use of Databricks resources to achieve efficient and cost-effective machine learning solutions.
- Design and maintain the infrastructure required for machine learning projects, ensuring scalability and performance.
- Collaborate with IT and DevOps teams to manage cloud resources and deployment environments.
You must have:
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• Proven experience as a Machine Learning Engineer or similar role, with a focus on CRM and platform-based solutions.
• Strong proficiency in developing machine learning models, particularly for retention use cases, anomaly detection, and regression analysis.
• Experience with pipeline automation and data flow monitoring.
• Hands-on experience with Azure Databricks for data processing and machine learning tasks.
• Familiarity with cloud infrastructure management, preferably within the Azure ecosystem.
• Proficiency in programming languages such as Python, R, or Scala, and experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
• Strong analytical and problem-solving skills, with the ability to work on complex data-driven projects.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
• Familiarity with DevOps practices and tools is a plus.
• Experience with CRM platforms and customer data analytics is an advantage.
• European Union Citizenship or Portuguese Working Visa / Portuguese Residency.
• Availability to go to the office, twice a week.
If you want to be part of a real People First organization, join us! Send your CV to
Machine Learning Researcher
Publicado há 5 dias atrás
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As a Machine Learning Researcher specializing in STT, NMT, and TTS systems, you will independently and collaboratively conduct research and development of novel models in these domains under the guidance of the Head of R&D. This role requires excellent technical skills and the ability to bring innovative AI solutions from research to robust, production-grade implementations.
RESPONSIBILITIES
- Conduct research and development of novel models in STT, NMT, and TTS, independently or in collaboration with other team members.
- Build and iterate on research prototypes, conducting experiments and evaluations.
- Transition promising research into robust, production-grade implementations.
- Work with cross-functional teams including product, engineering, and design to bring AI solutions to life.
- Stay up-to-date with the latest research in speech and language AI and adapt state-of-the-art ideas to our needs.
REQUIRED EXPERIENCE AND QUALIFICATIONS
- Master’s or Ph.D. in Computer Science, Machine Learning, Computational Linguistics, or a related field OR equivalent industry experience in applied AI research.
- Strong proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).
- Solid understanding of machine learning and deep learning fundamentals.
- Hands-on experience with at least one of:
> Speech recognition models (e.g., experience with open-source toolkits such as Kaldi, DeepSpeech, or ESPnet, or designing and implementing a custom STT system).
> Neural Machine Translation with Transformer-based architectures (e.g., proficiency in frameworks like OpenNMT, Fairseq, or MarianNMT, or hands-on experience developing an end-to-end NMT system).
> Text-to-Speech systems (e.g., familiarity with models like Tacotron, FastSpeech, or WaveGlow, or building a complete TTS pipeline).
> Experience with training, fine-tuning, or adapting large language models such as LLaMA, GPT, Mixtral.
- Familiarity with handling large datasets and conducting rigorous evaluation of models.
- Strong software engineering skills, including experience with version control, modular code design, and working with complex codebases.
PREFERRED QUALIFICATIONS
- Experience deploying ML models to production environments (cloud or on-prem).
- Proficiency in C# and .NET (our broader platform is built in .NET technologies).
- Familiarity with Azure, AWS or other cloud platforms.
- Basic understanding of front-end technologies (e.g., HTML, JavaScript, and CSS) for prototyping demo interfaces.
DESIRED SKILLS AND EXPERIENCE
- Passionate about the intersection of AI research and real-world applications.
- Enjoy experimenting, learning, and iterating with limited specs or guidance.
- Clear and proactive communication with peers and stakeholders.
- Initiative and ownership, especially when navigating ambiguity.
- Openness to working with unfamiliar tools or domains when needed
By applying, I confirm I have read and accept TransPerfect's Privacy Policy:
Machine Learning Engineer
Hoje
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Descrição Do Trabalho
With just over 7 years of experience in the Portuguese market, we share our DNA with more than 200 workers and position our offer according to 3 lines of service:
- Strategy (Outsourcing, NeXel, Team as a Service, Tech Academies);
- R&D (Bootcamps, POC, Tech Lab);
- Nearshore.
In ADENTIS, we focus on PEOPLE. This is our emotional salary:
- Great Work-Life balance;
- Very flexible organizational routine;
- Health benefits (for you and your family);
- Team Building activities;
- Over 300 protocols to offer you great discounts in different areas;
- Continuous professional development sponsored by our Training and Certification Department;
- Regular feedback on your performance through a personalized plan;
- Comprehensive career plan and progression involving assertive performance reviews.
Responsibilities:
- Develop and implement machine learning models tailored to CRM and platform contexts.
- Design and deploy models for retention use cases, anomaly detection, regression analysis, and other predictive analytics tasks.
- Create and manage automated data pipelines for efficient data processing and model deployment.
- Ensure seamless integration of machine learning models into existing systems and workflows.
- Monitor data flows to ensure the quality, consistency, and reliability of data used for machine learning models.
- Troubleshoot and resolve data-related issues promptly to maintain smooth operations.
- Utilize Azure Databricks for data processing, model training, and deployment.
- Optimize the use of Databricks resources to achieve efficient and cost-effective machine learning solutions.
- Design and maintain the infrastructure required for machine learning projects, ensuring scalability and performance.
- Collaborate with IT and DevOps teams to manage cloud resources and deployment environments.
You must have:
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• Proven experience as a Machine Learning Engineer or similar role, with a focus on CRM and platform-based solutions.
• Strong proficiency in developing machine learning models, particularly for retention use cases, anomaly detection, and regression analysis.
• Experience with pipeline automation and data flow monitoring.
• Hands-on experience with Azure Databricks for data processing and machine learning tasks.
• Familiarity with cloud infrastructure management, preferably within the Azure ecosystem.
• Proficiency in programming languages such as Python, R, or Scala, and experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
• Strong analytical and problem-solving skills, with the ability to work on complex data-driven projects.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
• Familiarity with DevOps practices and tools is a plus.
• Experience with CRM platforms and customer data analytics is an advantage.
• European Union Citizenship or Portuguese Working Visa / Portuguese Residency.
• Availability to go to the office, twice a week.
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