MLOps engineer with Dataiku required in PA (10+yrs exp. needed)- Onsite

[Radha Venkatraman]

 

Dear friends,

 Please respond with suitable profiles with contact details, visa copy, DL, Passport number and linkedin for the below urgent requirement.

 Position: MLOps engineer with Dataiku (10+yrs exp. Needed)

Location: Reading, PA - Onsite

Type: long term contract

Rate: open

Position summary:

• Looking for a pure MLOps Engineer with hands-on experience in Dataiku (Sage Mager is plus).
  
  Responsibilities
  • Design multi-agent architectures: define agent roles (planner, researcher, retriever, executor, reviewer), toolboxes, handoffs, memory strategy (short/long-term), and supervisor policies for safe collaboration.
  • Build high-quality RAG: implement ingestion, chunking, embeddings, indexing, and retrieval with evaluation (precision/recall, groundedness, hallucination checks), guardrails, and citations.
  • Productionize on AWS: leverage services like Bedrock (Agents/Knowledge Bases/Flows), Lambda, API Gateway, S3, DynamoDB, OpenSearch/Vector DB, Step Functions, and CloudWatch for tracing and alerts.
  • MLOps/LLMOps: automate CI/CD (GitOps), containerization (Docker/Kubernetes), infra-as-code, secrets/IAM, blue green/rollbacks, and data/feature pipelines.
  • Observability & evaluation: instrument telemetry (traces, token/cost, latency), build dashboards (Grafana/CloudWatch), add human-in-the-loop review, A/B testing, and continuous offline/online evals.
  • Operate reliably at scale: implement caching, rate-limit management, queueing, idempotency, and backoff; proactively detect drift and degradation.
  • Collaborate & communicate partner with infra/DevOps/data/architecture teams; document designs, SLIs/SLOs, runbooks; present status and insights to technical and non-technical stakeholders.
  Qualifications we seek in you!
  Minimum Qualifications
  • Bachelor's degree in computer science, Data Science, Engineering, or related field—or equivalent experience.
  • Proven experience building agentic systems (single or multi-agent) and RAG pipelines in production.
  • Strong cloud background for AI/ML workloads; familiarity with Bedrock or equivalent LLM platforms.
  • Solid CI/CD and containerization skills (Git, Docker, Kubernetes) and infra-as-code fundamentals.
  • Knowledge of data governance and model accountability throughout the MLOps/LLMOps lifecycle.
  • Excellent communication, collaboration, and problem-solving skills; ability to work independently and within cross-functional teams.
  • Passion for Generative AI and the impact of agent-based solutions across industries.
  Preferred / Good to Have
  • Experience with AWS Bedrock Agents/Knowledge Bases/Flows, OpenSearch (or other vector databases), Step Functions, Lambda, API Gateway, DynamoDB, S3.
  • Dataiku platform exposure—govern, approvals, artifacts, MLOps deployment flows; SageMaker for custom model hosting.
  • Familiarity with agent frameworks (e.g., LangGraph, crewAI, Semantic Kernel, AutoGen) and evaluation frameworks (guardrails, groundedness, hallucination checks).
  • Covered these Dataiku Certifications (nice to have): ML Practitioner, Advanced Designer, MLOps Practitioner.

 

 

 

Regards,

Radha Venkatraman

Recruitment Lead
ReqRoute,Inc
Desk: 408-600-2008; Fax: 888-400-2698
Email: ra...@reqroute.com