Are you an AI/ML 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?

• 5+ years in AI/ML engineering, with at least 3+ years in MLOps/GenAI Ops.
• Strong expertise with Snowflake (Snowpark, UDFs, ML integrations, governance).
• Hands-on experience in Azure ML ecosystem (Azure ML Studio, Azure OpenAI).
• Proficiency in MLOps frameworks (MLflow, Kubeflow, Airflow, DVC, Feast).
• Strong coding skills in Python, SQL, and exposure to PyTorch / TensorFlow.
• CI/CD & deployment with Azure DevOps / GitHub Actions, Docker, and Kubernetes.
• Knowledge of responsible AI, security, and compliance in enterprise environments.
• Proven track record of leading engineering teams and deploying AI/ML at scale.
• Strong interpersonal skills with the ability to work cross-functionally with stakeholders, engineers, and analysts.

👀 GOOD TO HAVE:

• Multi-cloud AI/ML experience (AWS/GCP in addition to Azure).
• Knowledge of feature stores, model registries, and enterprise ML governance.
• Contributions to open-source MLOps/GenAI frameworks.
• Understanding data privacy regulations (GDPR, HIPAA) and AI ethics frameworks.
• Experience implementing role-based access control (RBAC) and data masking in Snowflake or Azure.
• Contributions to open-source ML/GenAI projects or active participation in AI communities.
• Strong presentation skills for technical demos, architecture reviews, or stakeholder briefings
• Experience with Databricks, AWS SageMaker, or Google Vertex AI for cross-cloud ML workflows.
• Exposure to streaming data platforms like Kafka, Azure Event Hubs, or Apache Flink.

🧐 HOW WILL YOUR DAILY JOB BE?

MLOps / GenAI Ops

• Design and implement end-to-end ML pipelines (data ingestion, training, validation, deployment, monitoring, retraining).
• Operationalize GenAI models (LLMs, embeddings, vector databases, prompt orchestration) for enterprise use cases.
• Automate CI/CD workflows for ML/GenAI apps ensuring reproducibility, scalability, and governance.
• Implement model monitoring, observability, and drift detection frameworks.
• Define best practices for ML/GenAI lifecycle management and compliance.

Azure Cloud Engineering

• Build and optimize AI/ML solutions on Azure using services like Azure ML, AKS, Azure OpenAI
• Design cloud-native architectures ensuring scalability, high availability, and security.
• Implement cost-efficient infrastructure for large-scale AI workloads.

Snowflake as a Data Platform

• Use Snowflake as the central data platform for feature engineering, data preparation, and model serving.
• Integrate Snowpark, Python UDFs, and Snowflake ML with AI/ML pipelines.
• Enable real-time and batch data pipelines with Snowflake + Azure ecosystems.
• Implement data governance, lineage, and observability in Snowflake for AI/ML workloads.

Leadership & Collaboration

• Serve as a technical leader and mentor for ML and data engineers.
• Partner with data scientists to produce research models on Snowflake and Azure.
• Engage with product and business stakeholders to align AI solutions with enterprise strategy.
• Drive innovation in GenAI Ops, MLOps, and data platform integration.

📅 WHERE AND WHEN?

• Workplace: Portugal/remote 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! 🚀