Roles & Responsibilities

- Develop, train, and deploy machine learning and deep learning models.

- Build predictive models for classification, regression, clustering, and recommendation problems.

- Develop NLP, computer vision, and Generative AI solutions based on business requirements.

- Work with LLMs, embeddings, RAG pipelines, and prompt engineering for GenAI applications.

- Deploy ML models through APIs, cloud platforms, or production applications.

- Monitor model performance, data quality, and model drift in production.

- Collaborate with data engineers, software developers, product teams, and business stakeholders.

- Maintain documentation, experiment tracking, version control, and reproducible ML workflows.

- Stay updated with emerging AI/ML techniques, frameworks, and tools.

Must Have Skills:

- Solid proficiency in Python for developing AI/ML applications and data processing workflows.

- Strong knowledge of Machine Learning algorithms for classification, regression, clustering,



and prediction.

- Strong understanding of Deep Learning concepts, neural networks, CNNs, RNNs, and Transformers.

- Hands-on experience with NumPy, Pandas, Matplotlib, and Scikit-learn.

- Experience with PyTorch or TensorFlow for developing and training deep learning models.

- Strong knowledge of SQL for querying, transforming, and analyzing data.

- Experience with NLP, LLMs, Generative AI, prompt engineering, and RAG.

- Knowledge of Git and GitHub for version control and collaborative development.

- Experience with REST APIs and FastAPI/Flask for deploying ML models.

- Knowledge of Docker and containerization for application deployment.

- Understanding of AWS, Azure, or GCP cloud platforms.

- Knowledge of MLOps practices, including model deployment, monitoring, versioning, and CI/CD.

📌 Ai Ml Engineer (Bengaluru)
🏢 CGI
📍 Bengaluru