Point your AI agent at freehire and let it find you a job.

Get the CLI →

EqualizeRCM Services

NewBe an early applicant

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

Posted Updated 1 view
Discussion

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


Skills

Apply

See also

ML / AI jobs by country — openings, pay and top skills →

Tailor your CV for this role?

We couldn't check your fit for this role — add a CV to your profile to see it next time.