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    Job · 21908155

    EqualizeRCM Services logo

    Walk-in Drive For AI/ML Engineer @Knack RCM, Hyderabad

    EqualizeRCM Services · Hyderabad · onsite · Posted 8d ago

    Undisclosed2–7 yrsfulltimeSourced fromNaukri

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

    About this role

    Walk-In Drive for AI/ML Engineer on 31st Oct @Knack RCM, Hyderabad


    Designation: AI/ML Engineer

    Experience: 2 to 10 years

    Work Location: Hyderabad

    No. of positions: 10

    Walk-in Date: 31st Oct 2026

    Walk-in Time: 10.30 AM - 3 PM


    Key Responsibilities


    • Design, build, and deploy Agentic AI workflows using LangChain and LangGraph or equivalent.
    • Build and manage agents using AWS Bedrock AgentCore (or similar AWS-native agent infrastructure), including deployment, memory, identity, and tool integration on AWS
    • Architect and optimize RAG and GraphRAG pipelines, chunking strategies, embedding selection, knowledge graph construction, vector/graph database design, and retrieval evaluation
    • Build robust evaluation frameworks for LLM outputs (accuracy, hallucination rate, groundedness, latency, cost)
    • Design multi-agent systems: planning, tool use, memory, and orchestration across agents
    • Build, train, and validate traditional ML models (regression, classification, clustering, tree-based models, time-series forecasting) for structured/tabular data problems
    • Perform feature engineering, data preprocessing, and exploratory data analysis for ML pipelines
    • Evaluate and select appropriate ML approaches (classic ML vs. deep learning vs. LLM-based) based on problem fit, data availability, and cost/latency constraints
    • Collaborate with product, clinical/domain, and engineering teams to translate business problems into AI-driven solutions
    • Optimize for latency, cost, and reliability in production ML/LLM systems (caching, batching, model routing)

    Required Qualifications


    • 2+ years of professional experience in AI/ML engineering or software engineering
    • Solid foundation in traditional ML and/or LLMs: algorithms (regression, classification, ensemble methods, clustering), model evaluation (precision/recall, ROC-AUC, cross-validation), and feature engineering, hands-on experience with ML libraries such as scikit-learn, pandas, NumPy, strong hands-on experience with traditional ML, LLMs, Agentic AI
    • Comfort working in a fast-paced environment

    Interested candidates please walk-in to the below venue on 31st Oct


    Venue: Knack RCM - 402, Manjeera Trinity Corporate, Opp. JNTU, Kukatpally, Hyderabad, Telangana 500072


    Regards,

    TATeam


    Sourced from naukri

    Skills

    AimlRetrieval Augmented GenerationLarge Language Models (LLMs)Agentic AiArtificial IntelligenceMachine Learning

    About EqualizeRCM Services

    EqualizeRCM Services logo

    EqualizeRCM Services

    Analytics & KPO

    1.5k+

    employees

    2004

    22 years old

    Mysuru / Mysore, Karnataka

    US

    ₹4.4L PA avg

    Avg at EqualizeRCM Services

    About

    EqualizeRCM provides measurable value to our clients with expertise in RCM consulting, credentialing, medical coding, billing and collections, and denial management services.

    Industries

    Analytics & KPOHealthcare

    Employee ratings

    10 reviews

    3.8/ 5

    Culture

    3.5

    Career growth

    2.8

    Work-life

    3.2

    Employees rate it well for

    Skill Development38Overall Company38

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