Description

Job Responsibilities

  • Explore data to identify patterns, trends & anomalies and also conduct statistical analyses to derive actionable insights.
  • Build solutions using Generative AI and/or Machine Learning
  • Optimize models for predictive accuracy and efficiency.
  • Deploy machine learning models into production systems and make necessary updates or improvements
  • Interact with client for understanding requirements and discussing solutions
  • Ensure data privacy and compliance with relevant regulations
  • Document analysis methods, data pipelines, and model workflows
  • Provide guidance and mentorship to junior data scientists

Key skills you will require:

Primary Skills

  • Extraordinary skills in programming language in Python
  • Proficiency in Generative AI techniques and LLMs such as OpenAI, Claude, Gemini, Llama, Mistral, etc
  • Hands on experience of working on solutions involving RAG, Knowledge Graphs, LLM Grounding
  • Proficiency in Cloud technologies for Generative AI such as Azure OpenAI, AWS Bedrock, GCP VertexAI (any one is ok)
  • Good knowledge of model hosting services Ollama, Huggingface transformers (any one is ok)
  • Hands on experience in developing solutions using Agentic AI techniques. Knowledge of Agentic AI frameworks with one or many of these: LangGraph, Semantic Kernel, AutoGen will be an advantage
  • Should have strong understanding of pre-processing text, post processing text and extracting text/data from various sources (web scraping, document extraction, databases, integration with third party systems such as Sharepoint)
  • Regular Expressions (Regex) are a critical skill
  • Should have good understanding of data operations using pandas
  • Should be able to perform exploratory data analysis on various types of data formats (numerical, tabular, text)
  • Good to have understanding of Deep Learning and Machine Learning models for solving business problems
  • Relevant certifications (e.g., Azure AI Engineer Associate, AWS Certified AI Practitioner, GCP Cloud Engineer, GCP ML Engineer) can be an advantage.
  • Excellent problem-solving skills and the ability to translate business questions into data science projects

Qualifications

 Bachelors or master’s with Computer Science or related field

Key Skills
Education

Any Graduate

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