AI/ML Engineer

3 hours ago

Noida, Uttar Pradesh, India Optimal Virtual Employee Full time ₹ 12,00,000 - ₹ 24,00,000 per year

Job Title: AI/ML Engineer (Mid-Level – GenAI Focus)

Location: Noida (WFO)

Experience Level: 3+ Years

Employment Type: Full-Time

Shift Timings: 1:00pm- 10:00pm

Job Summary:

We are seeking a mid-level AI/ML Developer
with practical experience in
machine learning, generative AI, and Python-based development
. The ideal candidate should have hands-on exposure to working with
LLMs
, fine-tuning models, implementing ML pipelines, and integrating AI capabilities into products. You will work closely with senior engineers to support feature development, experimentation, and deployment.

Key Responsibilities:

  • Assist in building and fine-tuning
    Generative AI models
    (e.g., GPT, T5, LLaMA, BERT).
  • Contribute to
    ML pipelines
    for training, testing, and deploying models.
  • Develop and test code using
    Python
    , with ML libraries such as scikit-learn, Transformers, or TensorFlow.
  • Work with
    embedding models
    ,
    prompt engineering
    , and
    vector databases
    for semantic search and chatbot-like solutions.
  • Build
    notebooks
    to demonstrate AI workflows and conduct experiments.
  • Collaborate with backend or DevOps engineers to integrate models into systems or APIs.
  • Use
    version control (GitHub)
    to manage and document changes and experiments.
  • Stay up to date with the latest in
    open-source LLMs and GenAI developments
    .

Required Skills:

Technical Expertise

  • Solid programming in
    Python
  • Experience with machine learning
    , basic model training, evaluation, and hyperparameter tuning
  • Exposure to
    transformer-based models
    and libraries like
    Hugging Face Transformers
  • Comfortable working in Jupyter Notebooks

GenAI & NLP Basics

  • Experience working with
    pre-trained LLMs
  • Knowledge of prompt design
    , few-shot learning, and use of APIs like OpenAI or Cohere

ML Tools

  • Familiarity with
    scikit-learn
    ,
    NumPy
    ,
    Pandas
  • (Bonus) Knowledge of LangChain
    ,
    vector databases
    (e.g., FAISS, Pinecone)

Software & Collaboration

  • Hands-on experience with
    GitHub
    , version control
  • Basic understanding of REST APIs and model deployment workflows

Good to Have:

  • Familiarity with
    cloud platforms
    (AWS/GCP)
  • Exposure to
    ML lifecycle tools
    like MLflow or SageMaker
  • Some experience working in an Agile or collaborative team environment

Ideal Candidate Traits:

  • Curiosity to learn and explore new GenAI tools and APIs
  • Strong debugging and problem-solving mindset
  • Able to work collaboratively while taking ownership of assigned tasks

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