AIML Lead

Lead the design development testing and deployment of AI/ML models and solutions.

Define AI/ML strategies and technical roadmaps aligned with business objectives.

Build and optimize machine learning and deep learning models for real-world applications.

Oversee data preprocessing feature engineering model training validation and evaluation.

Work with algorithms for classification regression clustering and predictive analytics.

Explore and implement Generative AI Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) solutions.

Develop scalable AI pipelines and production-ready ML applications.

Implement MLOps practices for model deployment monitoring versioning and retraining.

Collaborate with data engineers software developers product managers and business stakeholders.

Mentor and guide AI/ML engineers and ensure high-quality technical delivery.

Monitor model performance accuracy scalability and reliability.

Ensure data privacy model security responsible AI practices and compliance.

Evaluate emerging AI technologies and recommend suitable tools and frameworks.

Communicate project progress technical insights and business impact to stakeholders.

Strong programming skills in Python.

Expertise in machine learning libraries such as Scikit-learn TensorFlow and PyTorch.

Strong understanding of statistics probability linear algebra and optimization.

Experience with data processing and analysis using Pandas NumPy and SQL.

Knowledge of deep learning NLP and computer vision.

Experience with Generative AI LLMs prompt engineering and RAG architectures.

Familiarity with frameworks such as LangChain or LlamaIndex.

Experience with model deployment using FastAPI Flask or REST APIs.

Knowledge of MLOps tools Docker Kubernetes and CI/CD pipelines.

Familiarity with cloud platforms such as AWS Microsoft Azure or Google Cloud.

Strong leadership problem-solving communication and project management skills.