AI/ML Engineer

We are seeking a highly skilled AI/ML Engineer with strong hands-on experience in building, deploying, and optimizing machine learning and generative AI solutions. The ideal candidate will work closely with data engineering, product, and architecture teams to develop scalable models and end-to-end AI pipelines. Key Responsibilities: Develop and maintain automated test frameworks for ETL processes and data pipelines. Perform ETL testing to validate data extraction, transformation, and loading. Create Python-based automation scripts for data validation. Test real-time data streaming using Kafka. Validate workflows in AWS environments (S3, Glue, Redshift, Lambda). Collaborate with engineering teams to ensure data quality and reliability. Integrate testing into CI/CD pipelines for continuous delivery. Required Skills: 5+ years of experience as an AI/ML Engineer, Data Scientist, or similar role. Strong hands-on skills with Python and ML frameworks such as TensorFlow, PyTorch, Scikit-Learn. Experience building NLP or GenAI solutions using Hugging Face, LangChain, OpenAI, Azure OpenAI, or similar. Solid understanding of LLMs, embeddings, vector databases, RAG, fine-tuning, and prompt engineering. Experience with AWS/Azure/GCP cloud services (SageMaker, Bedrock, Vertex AI, Azure ML). Strong knowledge of data structures, algorithms, and model evaluation techniques. Experience with MLOps tools such as MLflow, Docker, Kubernetes, Git, Airflow, Databricks. Ability to write clean, production-ready code.

Created: 2026-03-04