AI/Data Science Engineers

7 days ago

Navi Mumbai, India V2STech Full time

Hi Candidate,

We are seeking passionate AI/Data Science Engineers to work on innovative AI/ML solutions, focusing on LLMs, RAG, CAG, and core ML algorithms.

  • Position: AI/Data Science Engineer
  • Experience: 6 months 1 year
  • Location: Thane (Immediate joining required)
  • Immediately Joiner

Job Description:
We are seeking candidates passionate about AI/ML, with hands-on experience in Python and machine learning frameworks. The role involves working on AI solutions using concepts like RAG, CAG, and basic ML algorithms. Strong analytical and communication skills are essential.

Key Responsibilities:

  • Collect, clean, transform, and prepare data for machine learning models using tools like Pandas and NumPy
  • Build and experiment with Large Language Models (LLMs) using libraries such as LangChain and LangGraph
  • Develop prototypes and components of AI-based solutions
  • Understand and apply concepts like Retrieval-Augmented Generation (RAG) and Agentic Workflows
  • Build and maintain data pipelines to ensure smooth data flow from raw to processed formats

Must-Have Skills:

  • Strong Python programming skills with libraries such as Pandas and NumPy
  • Experience with Python frameworks (Django, Flask, or FastAPI) and building REST APIs
  • Knowledge of Machine Learning algorithms and libraries like Scikit-learn, TensorFlow, or Keras
  • Hands-on experience with at least one of the following: LLM, RAG, Vector Databases, or Agentic AI
  • Familiarity with data visualization tools (Matplotlib, Seaborn)
  • Experience with Git and Jupyter Notebook

Good-to-Have Skills:

  • Familiarity with IDEs like Cursor or WindSurf
  • Exposure to open-source platforms like Ollama, Hugging Face
  • Experience with cloud platforms (AWS, GCP)

Additional Information:

  • Candidates must have hands-on experience working on AI/Data Science/Machine Learning projects, internships, or jobs
  • Profiles without relevant AI/ML project experience should not be considered

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