Machine Learning Engineer

2 weeks ago

Pune, Maharashtra, India beBeeDataScientist Full time ₹ 15,00,000 - ₹ 20,00,000

Data Scientist Role Overview:

We are seeking a seasoned Data Scientist with expertise in Natural Language Processing (NLP), Machine Learning (ML) and Large Language Models (LLMs). The ideal candidate will have hands-on experience with modern AI frameworks, vector databases and cloud-based ML platforms for building and deploying scalable high-performing solutions.

Key Responsibilities:

  • Design, develop and deploy NLP and ML models for real-world applications.
  • Work extensively with LLM frameworks, Hugging Face Transformers, LangChain Lama Index, OpenAI API, Vertex AI.
  • Fine-tune large language models embeddings and optimize vector search using FAISS, Pinecone, Weaviate, Milvus or Vertex AI Matching Engine.
  • Perform data preprocessing statistical analysis and experiment design to validate models.
  • Collaborate with cross-functional teams engineering product business to deliver AI-driven solutions.
  • Leverage cloud ML platforms GCP preferred to build and scale production-grade ML pipelines.
  • Continuously research and adopt state-of-the-art techniques in NLP ML and LLMs.

Required Skills and Qualifications:

  • Proven experience as a Data Scientist with 6-9 years of experience focusing on NLP and ML.
  • Hands-on experience with LLM frameworks and libraries - Hugging Face Transformers, LangChain, LamaIndex, OpenAI API and Vertex AI.
  • Strong programming skills in Python with ML AI libraries - PyTorch, TensorFlow and Scikit learn.
  • Experience in fine-tuning LLMs embeddings and vector databases - FAISS Pinecone, Weaviate, Milvus, Vertex AI Matching Engine.
  • Proficiency in data analysis statistics and experiment design.
  • Strong understanding of cloud ML platforms - GCP preferred.
  • Excellent problem-solving analytical and communication skills.
  • Strong debugging troubleshooting and problem-solving skills.
  • Excellent collaboration abilities.

Good to Have Skills:

  • Exposure to MLOps practices - CI CD for ML monitoring deployment.
  • Experience with other cloud platforms - AWS and Azure.
  • Knowledge of reinforcement learning and generative AI applications.

What We Offer:

  • A competitive salary and benefits package.
  • The opportunity to work on cutting-edge security challenges.
  • A collaborative and growth-oriented work environment with opportunities for career development.

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