Tech Lead AI and ML Engineer

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Job Title: Tech Lead AI and ML Engineer

Key Skills: Machine Learning, LLMs, Python, AWS

Location: Brazil

Mode: Remote

We at Coforge are hiring Tech Lead AI and ML Engineer with the following skill set.

Key Responsibilities

• Raise and discuss trade-offs of different design approaches elaborating detailed design documents;

• Improve and Abstract current functionalities into reusable Libraries;

• Develop solution components in partnership with the Data team;

• Participate in technical discussions with customer operations and Data team;

• Follow Agile processes and participate actively in all development phases, fostering a culture of collaboration;

• Lead a team of highly skilled developers into building cutting edge AI solutions.

Required Skills & Qualifications

• Experience with Python libraries for machine learning (Pandas, Matplotlib, Scikit learn, PyTorch);

• Experience with Machine Learning and Deep Learning;

• Experience with NLP (NLTK, tokenization, feature extraction, embeddings);

• Experience with LLMs (prompt engineering, few shot learning, LiteLLM API + AWS Bedrock);

• Experience with AWS Cloud (S3, Lambda, IAM, EC2, RDS, Cloudwatch, Bedrock, EKS);

• Experience with Distributed Systems;

• Experience with API implementation in Python (FastAPI, Pydantic, HTTP exceptions management);

• Experience in Leading Software Development Teams;

• Git version control;

• Linux environment;

• Experience with Jupyter Notebooks;

• Experience working with machine learning models in production;

• Software development expertise in general (unit test implementation, code review, clean code implementation, version control, etc);

• Experience in using GenAI in the software development lifecycle;

• Experience with ML models management (ex. MLFlow).

Preferred Skills:

• API Gateway concepts;

• AWS Bedrock experience;

• Creating Python Libraries;

• Experience with Data Science;

• Experience with MLOps.

Posted On: 18-08-2026

At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.