Description

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

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, 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

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