Ai/ml engineer

1 week ago

Noida, India Optimal Virtual Employee Full time

Job Title: AI/ML Engineer (Mid-Level – Gen AI Focus)Location: Noida (WFO)Experience Level: 3+ YearsEmployment Type: Full-TimeShift Timings: 1:00pm- 10:00pmJob 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, LLa MA, 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 Tensor Flow.- 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 Dev Ops engineers to integrate models into systems or APIs.- Use version control (Git Hub) to manage and document changes and experiments.- Stay up to date with the latest in open-source LLMs and Gen AI 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 NotebooksGen AI & NLP Basics- Experience working with pre-trained LLMs- Knowledge of prompt design, few-shot learning, and use of APIs like Open AI or CohereML Tools- Familiarity with scikit-learn, Num Py, Pandas- (Bonus) Knowledge of Lang Chain, vector databases (e.g., FAISS, Pinecone)Software & Collaboration- Hands-on experience with Git Hub, version control- Basic understanding of REST APIs and model deployment workflowsGood to Have:- Familiarity with cloud platforms (AWS/GCP)- Exposure to ML lifecycle tools like MLflow or Sage Maker- Some experience working in an Agile or collaborative team environmentIdeal Candidate Traits:- Curiosity to learn and explore new Gen AI tools and APIs- Strong debugging and problem-solving mindset- Able to work collaboratively while taking ownership of assigned tasks

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