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Machine Learning Engineer

Fresher   Hyderabad   07 Dec, 2025
HARJAI COMPUTERS PRIVATE LIMITED
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryBFSI
Functional AreaEmbedded / System Software
EmploymentTypeFull-time

Job Description

    About the Role: We are seeking a highly skilled and self-drivenMachineLearningEngineerwith 34 years of hands-on experience in Generative AI, LLM-based systems, promptengineering, vector databases, and agentic AI automation. The ideal candidate will have a strong background in Python, knowledge retrieval systems, and deploying AI powered automation for tasks involving documents, communication, and workflows. You will work at the forefront of AI-driven automation, helping us build intelligent systems that interact with unstructured data, automate decision-making, and deliver real-time insights using cutting-edge Gen AI tools and frameworks.Key Responsibilities:
    • Design, build, and deploy AI agents and agentic workflows for document understanding, communication automation, and knowledge retrieval
    Develop, fine-tune, and optimize LLM prompts, RAG pipelines, and memory-based systems for contextual AI.Integrate and manage vector databases (e.g., Pinecone, Weaviate, FAISS) for scalable semantic search and retrieval.Develop and maintain Python-based pipelines, APIs, and microservices for AI automation tasks.Work with structured and unstructured data, including PDFs, emails, and text data, to generate actionable insights using Gen AI. Collaborate with product, data, andengineering teams to design scalable AI solutions.Evaluate and integrate external LLM APIs (e.g., OpenAI, Anthropic, Mistral, etc.) and open-source LLMs (e.g., Llama, Mistral, etc.).Monitor and optimize AI model performance, latency, and cost.Stay updated on advancements in agentic AI, LLM frameworks, vector search, and Gen AI tools; recommend adoption where appropriate.Required Skills & Qualifications:34 years of experience inMachineLearning/ AIengineering, with a focus on Gen AI and LLMs.Proficiency in Python, including frameworks like LangChain, LlamaIndex, FastAPI, Pydantic, etc.Strong experience in promptengineering and LLM integration (e.g., OpenAI, Claude, Mistral).Hands-on experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma).Experience building retrieval-augmented generation (RAG) systems.Familiarity with agentic AI frameworks (e.g., LangGraph, AutoGen, CrewAI, AutogenStudio).Strong understanding of document processing, including OCR, PDF parsing, text embeddings, and summarization.Comfortable working with APIs, webhooks, and automation of communication workflows (e.g., email, chat, scheduling).Solid understanding of data structures, algorithms, and performance optimization.Excellent problem-solving skills, ownership mindset, and ability to work in a fast paced environment.Nice to Have:Experience with LLM fine-tuning or model distillation.Knowledge of Docker, Kubernetes, and cloud services (e.g., AWS, GCP, Azure).Familiarity with open-source LLMs (e.g., Llama, Mistral, Zephyr) and deployment using vLLM, Ollama, or Modal.Exposure to PostgreSQL, Redis, and task queues like Celery or RQ.Experience with AI observability tools (e.g., LangSmith, Helicone, Phoenix) is a plus.

Keyskills :
databasegenlearningvectormachine learningllmragengineeragentic

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