Senior Engineer- AI ML Expert

What you can look forward to as a Senior Engineer-AI ML Expert

• Lead Development: Own endtoend design, implementation, deployment and maintenance of both traditional ML and Generative AI solutions (e.g., finetuning LLMs, RAG pipelines)
• Project Execution & Delivery: Translate business requirements into datadriven and GenAIdriven use cases; scope features, estimates, and timelines
• Technical Leadership & Mentorship: Mentor, review and coach junior/midlevel engineers on best practices in ML, MLOps and GenAI

• Programming & Frameworks: Expert in Python (pandas, NumPy, scikitlearn, PyTorch/TensorFlow)
• Cloud & MLOps: Deep experience with Azure Machine Learning (SDK, Pipelines, Model Registry, hosting GenAI endpoints)
• Proficient in Azure Databricks: Spark jobs, Delta Lake, MLflow for tracking both ML and GenAI experiments
• Data & GenAI Engineering: Strong background in building ETL/ELT pipelines, data modeling, orchestration (Azure Data Factory, Databricks Jobs.

Your profile as a Senior Engineer-AI ML Expert

• Bachelors or masters in computer science/Engineering/Ph.D in Data Science, or a related field
• Min of 2 years of professional experience in AI/ML engineering, including at least 6 months of handson Generative AI project delivery
• Track record of production deployments using Python, Azure ML, Databricks, and GenAI frameworks
• Handson data engineering experiencedesigning and operating robust pipelines for both structured data and unstructured (text, embeddings)
• Preferred: Certifications in Azure AI/ML, Databricks, or Generative AI specialties
• Experience working in Agile/Scrum environments and collaborating with crossfunctional teams.