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    Job · 18634973

    Aurum Data Solutions logo

    AI/ML Specialist / GenAI Lead /Agentic AI Engineer with Python

    Aurum Data Solutions · Hyderabad · onsite · Posted 30d ago

    Undisclosed10–20 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Very urgent: AI/ML Specialist / GenAI Lead /Agentic AI Engineer with Python


    Company: AurumData Solutions

    Experience: 9+years (Rel.Exp: 4-5yrs in AI/ML)

    Location: Knowledge City Hyderabad

    Job Mode: Permanent

    Work Mode: Work From Office


    Key Skills: AI/ML, Python, Data Science, GenAI, AgenticAI, RAG, LLM, Langchain, LangGraph, Lora, Vector DB, etc..


    Job Overview:

    We are seeking a highly skilled and innovative Technology Analyst to join our team as a Gen AI Developer. As a key member of our team, you will play a crucial role in designing, developing, and implementing cutting-edge AI solutions that drive business growth and excellence. With a focus on general Artificial Intelligence, you will leverage your expertise in LangChain, Python, Gen AI, Agentic AI, Kafka, and Prompt Engineering to develop intelligent systems that can learn, reason, and interact with humans. If you have a passion for AI, a drive to work on cutting edge AI solutions and want to grow your career in this field then we encourage you to apply for this exciting opportunity.


    Core AI/ML Expertise

    • Deep expertise in Machine Learning fundamentals, algorithms, and statistical modeling
    • Advanced knowledge of Deep Learning architectures: CNNs, RNNs, Transformers, GANs
    • Strong understanding of Neural Networks and model optimization techniques
    • Expertise in Natural Language Processing (NLP) and Computer Vision.

    Generative AI & Large Language Models (2025)

    • Hands-on experience with LLMs (GPT-4, Claude, Llama, Mistral, Gemini) (Compulsory)
    • Proficiency in prompt engineering and advanced prompting techniques (Compulsory)
    • Deep understanding of Transformer architecture and attention mechanisms (Compulsory)
    • Experience with fine-tuning techniques: LoRA, QLoRA, PEFT (Good to have not compulsory)
    • Knowledge of model compression, quantization, and optimization. (Good to have not compulsory)
    • Retrieval-Augmented Generation (RAG) architecture and implementation. (Compulsory)
    • Hands on experience on working with different Agentic AI frameworks and create Agentic AI solution.

    Modern AI Engineering Stack

    • Frameworks: PyTorch, TensorFlow, JAX, Hugging Face Transformers
    • LLM Tools: LangChain, LangGraph, Autogen, CrewAI.
    • Vector Databases: Pinecone, Chroma, FAISS.
    • MLOps Tools: MLflow, LangSmith, Kubeflow.
    • Cloud Platforms: AWS (SageMaker, Bedrock), Azure ML, Google Cloud Vertex AI

    MLOps & Production Systems

    • End-to-end ML pipeline design and deployment.
    • Model versioning, monitoring, and observability
    • Continuous integration/deployment (CI/CD) for ML systems
    • Docker, Kubernetes for containerization and orchestration
    • Real-time inference optimization and latency management

    Leadership & Strategic Skills

    Technical Leadership

    • 8+ years of AI/ML experience with 3+ years in leadership roles
    • Proven track record of leading and mentoring AI/ML engineering teams
    • Experience architecting enterprise-scale AI systems
    • Ability to make strategic technology decisions and trade-offs
    • Strong system design and architectural thinking


    If you are interested, please share your updated CV at [email removed]



    Regards

    Balaram K

    Mobile: [phone removed]

    Email: [email removed]

    Sourced from naukri

    Skills

    AimlRetrieval Augmented GenerationNatural Language ProcessingLarge Language Models (LLMs)PythonDeep LearningLanggraphLangchainAgentic AiGenerative AiData ScienceArtificial IntelligenceMachine Learning

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