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

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

24 Oct
|
EqualizeRCM Services
|
Hyderabad

24 Oct

EqualizeRCM Services

Hyderabad

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 qualified 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

📌 Walk-in Drive For AI/ML Engineer @Knack RCM, Hyderabad
🏢 EqualizeRCM Services
📍 Hyderabad

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