GEN AI and Machine Learning Engineer

Role & responsibilities

Preferred candidate profile

Skills (must have)

• Bachelor's or masters degree in Computer Science, Data Science, Engineering, or a related field.
• Experience on Agentic AI/Framework and Platform.
• Strong programming skills in languages such as Python, SQL/NoSQL
• Experience in working with OpenAI Models.
• Experience in TensorFlow, PyTorch, PySpark.
• Good experience in Azure
• Exposure to Gen AI, Vector DB/Embeddings, LLM, RAG, Grounding with external APIs

Skills (good to have)

Experience with MLOps, MLFlow, Kubeflow, CI/CD Pipeline etc.

Experience in Flask/Django is a bonus

Knowledge of math, probability, and statistics.

Familiarity with a variety of Machine Learning, NLP, and deep learning algorithms.

Responsibilities

• Collaborate with software engineers, business stake holders and/or domain experts to translate business requirements into product features, tools, projects, AI/ML, NLP/NLU and deep learning solutions.
• Develop, implement, and deploy AI/ML solutions.
• Preprocess and analyze large datasets to identify patterns, trends, and insights.
• Evaluate, validate, and optimize AI/ML models to ensure their accuracy, efficiency, and generalizability.
• Deploy applications and AI/ML model into cloud environment such as AWS/Azure/GCP etc.
• Monitor and maintain the performance of AI/ML models in production environments, identifying opportunities for improvement and updating models as needed.
• Document AI/ML model development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement.