Machine Learning Engineer

Are you a Machine Learning Engineer seeking a new interesting challenge? 🔍

If your answer is yes, it’s your lucky day so keep reading, it can be just what you're looking for! 👀

🧐 WHAT WE ARE LOOKING FOR IN YOU?

• Deep proficiency in Python and its data science ecosystem, including libraries like Pandas, NumPy, Scikit-learn, and TensorFlow/PyTorch.
• Extensive hands-on experience with at cloud platform Azure and its specific ML services (e.g., SageMaker, Vertex AI, Azure Machine Learning).
• Expertise in containerization technologies like Docker and container orchestration frameworks, particularly Kubernetes.
• Proven experience building and managing automated CI/CD pipelines using tools such as Jenkins, GitLab CI, GitHub Actions, or CircleCI.
• Strong command of Infrastructure as Code (IaC) tools, with a preference for Terraform or CloudFormation.
• Practical experience with ML lifecycle management and experiment tracking platforms like MLflow, Kubeflow, or Weights & Biases.
• Solid grounding in software engineering fundamentals, including version control with Git, unit/integration testing, and writing clean, maintainable code.
• Knowledge of distributed data processing frameworks such as Apache Spark

🧐 HOW WILL YOUR DAILY JOB BE?

• Design, build, and maintain a robust, scalable, and secure MLOps infrastructure on cloud platforms like AWS, GCP, or Azure.
• Develop and manage sophisticated CI/CD (Continuous Integration/Continuous Deployment) pipelines tailored for machine learning models, automating training, evaluation, deployment, and monitoring.
• Automate the end-to-end machine learning lifecycle, from data acquisition and preprocessing to model training, versioning, and production serving.
• Collaborate closely with Data Scientists to productionize their models, assisting with code refactoring, containerization, and performance optimization for deployment.
• Implement and manage containerization solutions using Docker and container orchestration platforms like Kubernetes to run machine learning workloads at scale.
• Establish and govern best practices for the entire ML ecosystem, including model versioning, data versioning, experiment tracking, and code repositories.
• Develop and deploy comprehensive monitoring solutions for production models to track performance, detect model drift and data skew, and trigger automated alerts or retraining processes.
• Manage and optimize cloud infrastructure for machine learning tasks, ensuring cost-effectiveness, resource utilization, and high availability of training and inference environments.
• Create and maintain reusable tools, frameworks, and software development kits (SDKs) to accelerate and standardize the process of model development and deployment for the data science teams.
• Ensure the reliability, security, and scalability of all machine learning systems in production, performing root cause analysis and resolving complex technical issues.

📅 WHERE AND WHEN?

• Workplace: Lisbon + hybrid work
• Work Schedule: 9AM to 6PM

🤝 WHAT WE CAN OFFER YOU?

• Permanent contract 📋
• Pay and benefits 💸 - Competitive salary and a flexible compensation plan adapted to your needs (Ticket restaurant plan + Health Insurance).
• Opportunity knocks 👍🏻 - Being a part of a growing company, we want to support your path with a career development plan and annual performance-based compensation reviews.
• Learn as you grow 📚 - Starting with a fantastic onboarding program, TCS has robust learning platforms that will allow you to learn and grow personal as professionally.
• Bring your buddy 👫 - If you have referred a friend for an open position under the BYB Scheme and she/he is hired you’ll receive a very attractive cash award.
• Connect globally 🌏 - Work with people from all over the world. You can feel the multicultural workforce.
• And so on 🎉 - Appreciations, incentives, Team Building activities, diversity and inclusion programs, sustainability activities, corporative events... This has only just begun!

💡 WHO ARE WE?

Tata Consultancy Services (TCS) is an Information Technology (IT) company founded in 1968, being part of the Tata Group.

With a presence in 55 countries and over 600,000 employees, TCS is recognized as the #1 Employer in Europe by the Top Employers Institute 🥇

In our portfolio of services, we have information technology services, asset-based solutions, global consulting, engineering and industrial services, digital solutions and services, application maintenance and development, quality assurance and testing services, IT infrastructure and BPS 🎯

We stand out for our experience, reliability, passion, confidence, creativity and skills 💯

WELCOME, WE ARE WAITING FOR YOU! 🚀