AI/ML Engineer

3 weeks ago

Noida, India Optimal Virtual Employee Full time

Job Title: AI/ML Engineer (Mid-Level – GenAI Focus) Location: Noida (WFO) Experience Level: 3+ Years Employment Type: Full-Time Shift Timings: 1:00pm- 10:00pmJob Summary: We are seeking a mid-level AI/ML Developerwith practical experience inmachine learning, generative AI, and Python-based development . The ideal candidate should have hands-on exposure to working withLLMs , 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-tuningGenerative AI models(e.g., GPT, T5, LLaMA, BERT). Contribute toML pipelinesfor training, testing, and deploying models. Develop and test code usingPython , with ML libraries such as scikit-learn, Transformers, or TensorFlow. Work withembedding models ,prompt engineering , andvector databasesfor semantic search and chatbot-like solutions. Buildnotebooksto demonstrate AI workflows and conduct experiments. Collaborate with backend or DevOps engineers to integrate models into systems or APIs. Useversion control (GitHub)to manage and document changes and experiments. Stay up to date with the latest inopen-source LLMs and GenAI developments .Required Skills: Technical Expertise Solid programming inPython Experience with machine learning , basic model training, evaluation, and hyperparameter tuning Exposure totransformer-based modelsand libraries likeHugging Face Transformers Comfortable working in Jupyter Notebooks GenAI & NLP Basics Experience working withpre-trained LLMs Knowledge of prompt design , few-shot learning, and use of APIs like OpenAI or Cohere ML Tools Familiarity withscikit-learn ,NumPy ,Pandas (Bonus) Knowledge of LangChain ,vector databases(e.g., FAISS, Pinecone) Software & Collaboration Hands-on experience withGitHub , version control Basic understanding of REST APIs and model deployment workflowsGood to Have: Familiarity withcloud platforms(AWS/GCP) Exposure toML lifecycle toolslike MLflow or SageMaker Some experience working in an Agile or collaborative team environmentIdeal 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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