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Natobotics - AI / ML Engineer - Data Modeling

Natobotics - AI / ML Engineer - Data Modeling

Natobotics Technologies Pvt LimitedHyderabad
30+ days ago
Job description

Job Title : AI / ML Engineer Generative AI & LLM Specialist

Location : Hyderabad

Experience Required : 6 to 12 Years

Notice Period : Immediate to 30 Days

Interview Mode : Virtual

Employment Type : Full-time

Client : Leading MNC

Position Overview :

We are seeking a highly skilled AI / ML Engineer with deep expertise in Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). The ideal candidate will have hands-on experience with frameworks such as LangChain, proficiency in Python, and a strong understanding of Deep Learning (DL), Machine Learning (ML), and Natural Language Processing (NLP). The role involves designing, developing, and deploying cutting-edge AI solutions on Azure and AWS cloud environments to solve complex enterprise problems.

Key Responsibilities Solution Development :

  • Design, develop, and deploy Generative AI applications using LLMs and RAG pipelines.
  • Implement AI workflows using LangChain or similar orchestration frameworks.
  • Build and fine-tune models for NLP tasks such as summarization, Q&A, sentiment analysis,

and conversational AI.

  • Integrate AI models into enterprise applications with APIs, SDKs, and cloud services.
  • Model Engineering & Optimization :

  • Fine-tune open-source and proprietary LLMs for domain-specific applications.
  • Optimize inference latency and throughput for production-grade deployments.
  • Implement vector databases and semantic search for RAG implementations.
  • Monitor model performance, accuracy, and data drift, and apply continuous improvement
  • strategies.

    Cloud & Infrastructure :

  • Deploy AI / ML solutions on Azure and AWS, leveraging cloud-native AI / ML services.
  • Utilize services like Azure OpenAI, AWS Sagemaker, Bedrock for model hosting and
  • management.

  • Build scalable pipelines for training, evaluation, and deployment using MLOps best practices.
  • Collaboration & Research :

  • Work closely with data engineers, product managers, and stakeholders to define AI solution
  • requirements.

  • Stay updated with the latest advancements in Generative AI, transformers, and NLP research.
  • Participate in design reviews, code reviews, and contribute to AI / ML architecture decisions.
  • Required Skills & Qualifications :

  • 6 - 12 years of experience in AI / ML engineering with recent focus on Generative AI projects.
  • Strong hands-on expertise in LangChain, LLMs, and RAG architectures.
  • Proficiency in Python and AI / ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers).
  • Solid understanding of Deep Learning, Machine Learning, and NLP techniques.
  • Experience with Azure AI services and AWS AI / ML stack.
  • Hands-on experience with vector databases (Pinecone, Weaviate, FAISS, Milvus, etc.).
  • Familiarity with API development and integration for AI-powered applications.
  • Preferred Skills :

  • Experience with multi-modal AI (text, image, speech).
  • Knowledge of prompt engineering and prompt optimization techniques.
  • Exposure to Kubernetes and containerized deployments for AI workloads.
  • Understanding of data privacy, security, and compliance in AI applications.
  • Prior experience with MLOps tools (MLflow, Kubeflow, DVC).
  • (ref : hirist.tech)

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