{"id":118625,"url":"https://alion.io/job/tekmetric-senior-software-engineer-python-contract","title":"Senior Machine Learning Engineer","company":{"id":46204,"name":"Tekmetric","domain":"tekmetric.com","url":"https://alion.io/company/tekmetric","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":80,"open_postings":12,"ghost_share":0,"stale_share":0.583,"repost_share":0,"time_to_fill_p50_days":74,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":131000,"max_usd":250000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1213},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Anthropic SDK","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Cohere SDK","optional":false},{"name":"Embeddings","optional":false},{"name":"FAISS","optional":false},{"name":"Function Calling","optional":false},{"name":"Hugging Face","optional":false},{"name":"Kubeflow","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"Prefect","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Qdrant","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tool Use","optional":false},{"name":"Weaviate","optional":false},{"name":"XGBoost","optional":false},{"name":"Amazon Kinesis","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Feature Store","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Neo4j","optional":true},{"name":"PEFT","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Recommender Systems","optional":true},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-05-20T14:17:10Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-10-16T15:19:06Z","board_verified":true,"closed_at":null,"days_open":149,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":148},"description":"About Tekmetric\nTekmetric is the all-in-one, cloud-based software helping auto repair shops run smarter, grow faster, and serve customers better.\nBuilt by a shop owner and shaped by the needs of the industry, Tekmetric brings together innovation, real-world experience, and a thriving community to help shops thrive - not just survive. From running a shop, to securing payments to engaging customers, our platform simplifies operations so shop owners can focus on what really matters: delivering exceptional service, earning trust, and growing sustainably.\nOfficially founded in Houston in 2017, Tekmetric has grown from a single shop’s vision to the industry’s leading solution - all by staying true to our values of transparency, integrity, innovation, and a service-first mindset. \nBut we’re not just building shop management software. We’re building a movement. We’re empowering repair shops to rise above the daily grind, create meaningful connections with their customers, and lead the industry forward - one interaction at a time.\nCome build with us. Join the journey. Shape the future of auto repair.\nWorking the Tekmetric Way\nAt Tekmetric, we’re building a culture where winning matters - not for ego, but because when our customers win, we win together. \nWe move fast, stay curious, and take full ownership of our results - no excuses, no finger-pointing. If you thrive in ambiguity, take initiative, and view honest feedback as fuel for growth, you’ll feel right at home here.\nWe’re direct but respectful, ambitious yet grounded, and collaborative at every level. Everyone leads through impact and is encouraged to speak up, share ideas, and challenge assumptions (even your manager’s). This is a place for builders, not bystanders.\nSuccess here takes focus, follow-through, and a willingness to roll up your sleeves - but if you’re driven by meaningful work and real results, it’s deeply rewarding. You’ll join a team that cares about the work, supports one another, and takes smart risks to achieve bold goals. Be yourself, stay mission-focused, and you’ll thrive. If that energizes you, we can’t wait to meet you.\nWhere We Work: At Tekmetric, great work happens anywhere, but great teams are built through intentional connection. We offer hybrid and remote work models based on your proximity to our office hubs. Because we value in-person collaboration, travel is an expected part of every role. We come together several times a year for team and company-wide offsites to align on goals and strengthen relationships. Attendance at these events is expected and fully supported.\nWhat You’ll Do Tekmetric sits on a decade of granular operational data from thousands of automotive repair shops - millions of operational records spanning customer history, service patterns, and technician activity. We are building the ML layer on top of it: retrieval systems, recommendation models, embedding infrastructure, and the LLM integration layer that makes AI features feel native to the product workflow. This is a systems role for someone who builds production AI seriously.\nDesign and build RAG pipelines - chunk store schema, Redshift-sourced population, and the signal-based retrieval layer that assembles context for LLM-powered suggestions in real time.\n\nOwn the semantic search infrastructure over operational data: embedding pipeline, chunking strategy, hybrid BM25+vector retrieval, and the reranking layer that feeds LLM tool calls (PGvector).\n\nBuild a recommendation model end-to-end - training pipeline (feature extraction, model development, evaluation) and the SageMaker inference path that surfaces relevant suggestions at the right moment in the user workflow.\n\nDesign tool definitions, prompt assembly, and context selection for Bedrock-backed AI features, working directly with application engineers who wire these into the product.\n\nCompute and serve ML features that recommendation models and customer analytics depend on: entity-level historical aggregates, account behavioral profiles, and engagement history.\n\nBuild and maintain batch and incremental embedding pipelines via Bedrock (Titan, Cohere) with CDC-based freshness, keeping the vector store current with the operational database.\n\nBuild evaluation frameworks - offline retrieval metrics, model quality tracking, and A/B infrastructure needed to measure whether AI features are driving business outcomes.\n\nCollaborate with data engineers to integrate ML models into data pipelines and surface results through search and analytics APIs.\n\nWhat You’ll Bring\n4+ years in ML engineering with clear experience taking a model or ML feature from experimentation into production - not just research or notebooks.\n\nRetrieval systems depth - embeddings, vector similarity, and ANN search at the mechanism level; ability to reason about BM25 vs. dense retrieval, chunking tradeoffs, and when reranking adds value (PGvector, FAISS, Qdrant, Weaviate, Pinecone).\n\nLLM application patterns - hands-on experience with RAG, tool use/function calling, prompt engineering, and context assembly; debugging retrieval pipelines where model output was wrong because the context was wrong (Bedrock, OpenAI, Anthropic SDK, LangChain).\n\nStrong Python and ML tooling - production-quality training and inference code, not just exploratory notebooks (PyTorch, scikit-learn, Hugging Face, XGBoost).\n\nData engineering fundamentals - writing the SQL or Spark job that extracts training data without handing it off; understanding point-in-time correctness and feature leakage.\n\nML infrastructure on AWS - deploying and operating models in a real cloud environment (SageMaker, Bedrock, S3, Lambda).\n\nWorkflow orchestration - building ML pipelines that run on a schedule, handle failure gracefully, and do not require manual intervention to stay healthy (Airflow, Prefect, or Kubeflow).\n\nNice to Have\nFine-tuning or PEFT - experience adapting embedding or generative models to a domain-specific corpus.\n\nGraph databases - Apache AGE, Neo4j, or similar; understanding how graph traversal complements vector similarity for multi-hop relationship queries.\n\nStreaming and CDC - Kinesis, Kafka, or Debezium; keeping a vector store or feature store current with a live operational database.\n\nRecommendation systems - collaborative filtering, two-tower models, or contextual bandits in a production setting.\n\nDomain experience in operational data - automotive, field service, logistics, healthcare; any domain where records are sparse, the vocabulary is specialized, and keyword search reliably fails.\n\nWhy You'll Love Working With Us\nHealth & Wellness That Have You Covered:\nEnjoy the flexibility of remote work\nCompetitive base salaries that reflect your value.\nFlexible PTO - No set number of days, just the trust to take the time you need. We genuinely encourage our team to disconnect and recharge.\nSupport for every stage of life-with paid maternity, parental bonding, and medical leave for you or your loved ones.\nComprehensive health benefits, including Medical, Dental, Vision, and Prescription coverage. For employee only, we offer plans that cover 100% of premiums and we cover 50% of costs for families.\nPrioritizing your mental health: get free, confidential counseling through our partnership with BetterHelp.\nInvesting in Your Future (and Present):\n401(k) Retirement Savings Plan with 100% employer match on contributions up to 6% - so your future self will thank you.\nFlexible Spending Accounts (FSA) and Health Savings Accounts (HSA) to make your money go further.\nLife and Accidental Death & Dismemberment (AD&D) Insurance for added peace of mind.\nWellness on your terms: get up to $60/month toward fitness, mental health, or almost anything that helps you feel your best.\nAfter one year of employment, enjoy a $300 home office setup bonus to help make your space work for you. \nKeep growing with support for continuing education - we’re invested in your development.\nMost importantly, we have a stellar team, a whole lot of fun, and work that actually matters to the shops and families we serve!\nTekmetric is an equal opportunity employer. We hire hard-working individuals, regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, or veteran status. We know that when our employees feel appreciated and included, they can be more creative, innovative and successful.\nWe will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.\nTekmetric will never ask for your personal financial or banking information or require any financial commitment as part of our candidate search or application process. No job offers will be made without a formal interview process. All legitimate Tekmetric job postings are listed at tekmetric.com/careers. Recruiter communications come from @tekmetric.com email addresses. 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