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Senior Artificial Intelligence / Machine Learning Engineer

Senior Artificial Intelligence / Machine Learning Engineer

Emorphis Technologies Pvt. Ltd.Indore
16 days ago
Job description

Role : Lead AI / ML Engineer

Experience : 6+ Years

Location : Indore (Work from Office)

Notice Period : Immediate Joiners / Up to 15 Days

We are seeking a highly skilled Lead AI / ML Engineer to spearhead the design, development, and deployment of Generative AI (GenAI) and Large Language Model (LLM)-based solutions. The ideal candidate will have strong expertise in advanced AI frameworks, cloud platforms, and building scalable agentic systems that transform enterprise applications.

Key Responsibilities :

  • Architect and implement GenAI-powered solutions leveraging LLMs and multimodal AI models.
  • Lead end-to-end development of intelligent, scalable, and secure AI systems.
  • Build, fine-tune, and deploy LLMs for enterprise-grade applications.
  • Drive innovation in agentic systems, knowledge graphs, and conversational AI.
  • Collaborate with cross-functional teams (Data, Cloud, Product, Business) for AI adoption.
  • Ensure compliance with ethical AI, privacy, and governance frameworks.
  • Contribute to AI / ML best practices, research, and open-source initiatives.
  • Mentor and guide junior AI / ML engineers.

Skills Required :

  • 6+ years of overall experience in AI / ML with 3+ years in Generative AI & LLMs.
  • Strong expertise in machine learning, deep learning, NLP, and computer vision.
  • Hands-on experience with transformer models (GPT, BERT, LLaMA, etc.).
  • Proficiency in Python, PyTorch, TensorFlow, Hugging Face, LangChain, Vector Databases (Pinecone / FAISS / Weaviate).
  • Experience with multimodal AI systems (text, image, speech integration).
  • Strong knowledge of MLOps, model deployment, and scalability (Docker, Kubernetes, CI / CD).
  • Cloud expertise in AWS, Azure, or GCP AI / ML services.
  • Familiarity with RAG (Retrieval-Augmented Generation) and fine-tuning pipelines.
  • Knowledge of data engineering concepts and ETL pipelines.
  • Understanding of AI ethics, fairness, privacy, and governance.
  • Strong problem-solving, leadership, and communication skills.
  • Contributions to open-source AI projects are highly desirable.
  • (ref : hirist.tech)

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