K&K Global Talent Solutions INC. · 6 hours ago
Machine Learning Engineer
United States
Contract
Remote
Senior Level
7+ years expK&K Global Talent Solutions Inc is an International recruiting agency that has been providing technical resources in the USA region since 1993. This position is with one of their clients who is seeking a Senior Machine Learning Engineer to join a core engineering team, focusing on building agentic retrieval workflows, data pipelines, and ML/LLM-driven scoring systems.
Hiring Manager
Akhilesh Pandey
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