K&K Global Talent Solutions INC. · 4 hours ago
Senior ML Engineer (Agentic AI + Data/ML)(W2 Contract)
United States
Contract
Remote
Senior Level
7+ years expK&K Global Talent Solutions INC. is seeking a Senior ML Engineer to join a core engineering team within a leading U.S. video-content provider. The role involves building agentic retrieval workflows, data pipelines, and ML/LLM-driven scoring systems to enhance engineering productivity and code-quality metrics.
Hiring Manager
Manish Kumar
Responsibilities
CES improvements: PR-level scoring, historical context, context-retrieval agent, automated score correction, training data prep from feedback
Data/PR tracking: ingest PRs, link to commits/branches, track merges to main, backfills
Orchestration & reliability: Dagster migration, retries, scheduling, monitoring, data quality alerts
LLM/prompt optimization: DSPy-based prompt tuning, eval set creation, feedback-driven corrections, prompt cost/quality tradeoffs
Metadata & classification: role/work-type classification, epic linking improvements, filters/explorer features
Qualification
Required
7-10+ years as a software/data/ML engineer
Strong Python expertise and familiarity with modern data/ML tooling
Proven delivery of production-grade orchestration systems (Dagster/Airflow) on AWS
Practical experience with prompt/LLM optimization (DSPy preferred)
Comfortable working with Git/PR metadata, code diffs, backfills, and performance‑critical data pipelines
Agentic coding: build retrieval agents that pull code context/diffs/history to improve scoring (aligns with CES Phase 3 and quality metric work)
Data pipelines: Dagster (preferred) or equivalent orchestrator; AWS-native pipelines (ECS/EventBridge/Lambda/S3/Glue experience a plus); robust backfills and retries
LLM/Prompting: DSPy or similar prompt/policy optimization; prompt chaining; context packing; eval design and execution
Data modeling & analytics: PR/commit linking, branch/main tracking, epic linking; quality/effort scoring signals; anomaly detection for data quality
Backend integration: building services that ingest PR/commit metadata, compute CES/quality metrics, and expose them to UI/API
Eval/feedback loops: design and run eval sets; collect user feedback; close the loop with automated/manual score correction
Preferred
Experience with code-scoring/effort or quality metrics; SonarQube integration
Graph-ish linking across artifacts (Jira/PR/commit/branch) for epic/work-type classification
Experience tuning performance/cost for LLM calls (OSS LLM evals, batching, caching)
Observability for pipelines (metrics/traces/logs) and data quality alerting
Company
K&K Global Talent Solutions INC.
K&K Global Talents Solutions Inc: A New Era in the US Recruitment Industry With their partnership with a highly reputable German recruitment firm boasting over 30 years of experience, K&K Global Talents Solutions Inc.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase