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Ai / Ml Engineer

Ai / Ml Engineer

Optimal Virtual EmployeeThāne, Republic Of India, IN
17 hours ago
Job description

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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    Engineer • Thāne, Republic Of India, IN

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