Description

You will lead end-to-end development of ML pipelines for client initiatives.

This role is hybrid.

Responsibilities

• Lead data sourcing, cleaning, model development, testing, tuning, and deployment for ML pipelines.
• Apply advanced AI/ML techniques, including Neural Networks, LLMs, Decision Trees, Transfer Learning, and Generative AI, to business problems.
• Build and fine-tune Large Language Models (LLMs) and design RAG pipelines and intelligent agents.
• Collaborate with SMEs and product teams to deploy data-driven solutions across cybersecurity, fraud detection, and predictive analytics.
• Design monitoring tools and A/B testing frameworks to validate ML model performance and ROI.

Required Skills

• 10+ years of experience in Data Science, Machine Learning, or AI engineering.
• Proficiency in Python, SQL, and Spark.
• Expertise with ML frameworks including TensorFlow, Scikit-learn, and PyTorch.
• Strong command over supervised and unsupervised learning and statistical modeling.
• Experience deploying AI/ML solutions in production at scale.
• Familiarity with cloud platforms such as Azure, AWS, or GCP.
• Experience with LLM APIs and prompt engineering.
• Understanding of data architecture, APIs, and backend systems.

Key Skills

Education

Any Graduate