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AI / ML Engineer - Data Modeling

AI / ML Engineer - Data Modeling

Mobile Programming LLCBangalore
30+ days ago
Job description

Job Description :

Job Title : AI / ML Engineer

Experience : 4+ Years

Location : Bangalore - Hybrid

Notice Period : Immediate Joiner

Job Role :

We are looking for skilled AI / ML Engineers with strong hands-on experience in LLMs, embeddings, and related frameworks. The ideal candidate should demonstrate practical expertise in at least 4-5 of the listed key skills. This role requires active involvement in building, fine-tuning, and deploying language and vision models, while working in a collaborative hybrid setup.

Responsibilities :

  • Fine-tune and train Large Language Models (LLMs), Small Language Models (SLMs), and Vision Language Models (VLMs) using frameworks like Hugging Face, PyTorch, or TensorFlow
  • Work on integrating LLMs with embeddings, transformers, and vector databases
  • Build and manage MLOps pipelines and scalable data engineering workflows
  • Apply techniques such as prompt tuning, prompt chaining, and agent-based approaches for solving real-world use cases
  • Collaborate with data scientists, engineers, and product teams to deliver AI-driven solutions
  • Deploy and monitor models in production environments
  • Perform POCs and implement the best architectural choices for model deployment

Requirements :

  • 4+ years of hands-on experience in AI / ML engineering
  • Proficient in at least 4-5 of the following :

  • Fine-tuning LLMs / SLMs / VLMs using Hugging Face, PyTorch, TensorFlow
  • Embeddings, Transformers
  • Vector databases (e.g., FAISS, Pinecone)
  • Prompt engineering (prompt tuning, chaining, agent-based models)
  • MLOps & Data Engineering workflows
  • Strong Python programming skills
  • Experience in model deployment and performance optimization
  • Solid understanding of NLP and / or multimodal AI systems
  • Location : Bangalore (Hybrid mode)
  • Technical Skills :

    Fine-tuning, LLMs, SLMs, VLMs, HuggingFace, PyTorch, TensorFlow, Embeddings, Transformers, VectorDBs, FAISS, Pinecone, MLOps, CI / CD, Deployment, Monitoring, DataOps, ETL, Prompting, Prompt-Tuning, Prompt-Chaining, Agents, Evaluation, Optimization, Python, APIs

    (ref : hirist.tech)

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