Data Scientist

About the Company

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

About the Role

A Developer, you will design, develop, train, and implement machine learning and deep learning models capable of processing large datasets and generating actionable insights.

Responsibilities

• Strong Programming skills in Python or Scala.
• Hands-on experience in vector databases like Pinecone, and Chroma db.
• Deep knowledge of AI technologies like machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn (e.g., APIs, microservices, event-driven IT, MLflow).
• Extensive experience writing production-ready code, hands-on experience with different programming paradigms and (MLOps and DevSecOps).
• Practical and professional experience contributing to and maintaining a large code base with code versioning systems such as Git.
• Minimum 8-10 years of experience in implementing automation initiatives based on Gen AI / ML, NLP, CPA, CoPilot, Gemini, RPA and other tools.
• Hands-on experience on programming (Python, Scala) and working with Gen-AI frameworks, LLM Models.
• Hands-on Experience to all SDLC Phases.
• Deploy AI models into production environments, ensuring they integrate smoothly with existing software systems.
• Monitor, update & refine the performance of deployed models.
• Should be skilled in problem-solving, Data analysis and Interpretation, pattern recognition, Algorithmic thinking, critical thinking, debugging and troubleshooting.
• Automate model packaging and deployment into production environments, with traceability on model version, experimentation and control checks.
• Building automated model performance monitoring services to monitor model health and report data to data scientists, model owner, and model validators.
• Builds and mentors architecture teams.
• Have the mindset to build Enterprise-grade solutions aligned to the industry's best practices.
• Build reusable frameworks and platforms to allow data scientists, devops teams to train and deploy models.
• Exceptional written, verbal, and interpersonal communication skills to articulate strategies to technical audiences.
• Collaborate to create propositions on AI / GenAI for clients.
• Willingness to quickly learn and start using various technologies and contribute to the COE.

Qualifications

Required Skills

Preferred Skills