BuzzClan · 6 hours ago
Machine Learning Engineer
Reading, PA
Contract
Onsite
Mid LevelBuzzClan is seeking a Machine Learning Engineer with a focus on MLOps and hands-on experience in Dataiku. The role involves designing multi-agent architectures, building high-quality retrieval-augmented generation (RAG) systems, and productionizing solutions on AWS while collaborating with cross-functional teams.
ConsultingInformation Technology
Hiring Manager
Dhiraj Mishra
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
Qualification
Required
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
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
Company
BuzzClan
BuzzClan is a business consulting company.
Founded in 2012
501-1000 employees
H1B Sponsorship
BuzzClan has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2024 (11)
2023 (8)
2022 (2)
2021 (2)
Funding
Current Stage
Late StageLeadership Team
Sachin Jain
Chief Technology Officer
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