MLOps Engineer with Dataiku (10+yrs exp. Needed)
Reading, PA, US • Posted 18 hours ago • Updated 18 hours ago

Digitive LLC
Dice Job Match Score™
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Job Details
Skills
- Data Governance
- A/B Testing
- Amazon Web Services
- Artificial Intelligence
- API
- Accountability
- Amazon DynamoDB
- Amazon S3
- Amazon SageMaker
- Autogen
- Caching
- Cloud Computing
- Collaboration
- Communication
- Conflict Resolution
- Continuous Delivery
- Continuous Integration
- Dashboard
- Data Architecture
- Database
- DevOps
- Docker
- Evaluation
- Generative Artificial Intelligence (AI)
- Git
- Grafana
- Hosting
- Kubernetes
- Machine Learning (ML)
- Machine Learning Operations (ML Ops)
- Management
- Problem Solving
- SAFE
- Semantics
- Step-Functions
- Vector Databases
Summary
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.
- Dice Id: 91159525
- Position Id: 8883427
- Posted 18 hours ago
Company Info
At Digitive, we know how to spot a good deal when we see one. We consolidate the most skillful and productive workforce for companies that are looking to expand their footprint. We deliver bold changes by helping you out of your comfort zone and help your organization adapt to the changing dynamics of the businesses. Digitive offers assistance in hiring for Salesforce, Digital, and Healthcare Talent.
We are consistently working on providing tech-based advanced recruitment solutions to both startups and pre-established companies looking for a change. We are helping companies to build impressive and efficient organizational structures by providing the right guidelines to solve the most difficult human resources issues. Our core principles shape our workflow and commitments. Most importantly, we ensure that our efforts help our clients to build a sustainable profit-making business that works consistently in the long run.
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