Technical Lead- AI/ML Expert

About the team:

AIML is usedto create chatbots, virtual assistants, and other forms of artificial intelligence software. AIML is also used in research and development of natural language processing systems.

What you can look forward to as a 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)
• Experience with embedding stores, vector databases, promptoptimization, and cost/performance tuning for large GenAI models

Your profile as a Technical Lead:

• 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 2 years 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.