
Natobotics - AI/ML Engineer - Data Modeling
3 weeks ago
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 andmanagement.
- 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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