Senior AI/ML Engineer

Description :

- Lead end-to-end development of data science and machine learning solutions for business and product teams.

- Analyze large structured and unstructured datasets (documents, text, images, transaction data) t- identify trends and actionable insights.

- Build, train, optimize, and evaluate predictive, statistical, and generative AI models t- support operations, underwriting, and automation initiatives.

- Develop scalable pipelines for data ingestion, feature engineering, model deployment, and monitoring.

- Collaborate with product owners, US business, engineering teams, and QA for requirement gathering and solution design.

- Translate business problems from US domain teams int- clear analytical tasks with measurable outcomes.

- Ensure compliance with enterprise data governance, model risk management, and security guidelines.

- Provide mentorship t- junior team members and contribute t- best practices, documentation, and code reviews.

- Present findings, dashboards, and model results t- US stakeholders in a clear and business-friendly manner.

- Work closely with Software Engineering teams t- integrate models int- production using APIs, cloud services, and containerized deployments.

- Strong expertise in machine learning, deep learning, NLP, and LLMs.

- Hands-on experience with Python, PyTorch/TensorFlow, Scikit-Learn, LangChain, HuggingFace, and embeddings.

- Experience building end-to-end ML pipelines and deploying models using APIs, Docker, and cloud platforms (Azure preferred).

- Experience with OCR, document AI, NLP pipelines, classification models, entity extraction, RAG, and text analytics.

- Strong SQL and data engineering fundamentals (ETL, data cleaning, feature engineering).

- Familiarity with MLOps tools (MLflow, Azure ML, Weights & Biases) is preferred.

- Experience with Generative AI (LLMs, prompt engineering, fine-tuning) is a strong plus.

- Experience with unstructured data relevant t- title insurance : PDFs, deeds, forms, property documents.