Machine Learning Engineer

Tekmetric is the all-in-one, cloud-based platform helping auto repair shops run smarter, grow faster, and serve customers better.Built 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.Officially 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.But we’re not just building 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 e build with us. Join the journey. Shape the future of auto repair.What You’ll DoWe are looking for a Machine Learning Engineer specializing in NLP, document classification, and large-scale data processing. You will work on applying LLMs, NLP, and ML techniques to categorize and process extracted data. Your work will power an intelligent search system and help organize massive amounts of structured and unstructured information.Develop and train NLP & ML models for document classification, text extraction, and entity recognition.Experiment with LLMs (GPT, Llama, Claude, etc.), embeddings, transformers, and vector databases.Build pipelines that combine rule-based methods with ML models for classification.Apply OCR techniques to extract structured data from PDFs and scanned documents.Fine-tune and optimize models for scalability, latency, and cost-efficiency.Deploy ML models in production using Kubernetes, AWS (SageMaker, Lambda, EMR), and Airflow.Collaborate with data engineers to integrate ML models into search APIs and data pipelines.Utilize Spark (EMR) or distributed computing for large-scale ML processing.What You’ll Bring3+ years of experience in Machine Learning & NLP.Strong Python skills and experience with ML/NLP frameworks like Hugging Face, spaCy, NLTK, TensorFlow, PyTorch etc.Familiarity with transformer-based architectures (BERT, GPT, T5, etc.).Experience with text classification, embeddingsKnowledge of OCR (Tesseract, Amazon Textract, or OpenCV-based techniques).Hands-on experience with AWS services, Kubernetes, and workflow orchestration (Airflow).Strong understanding of information retrieval, search ranking, and ElasticSearch/OpenSearch.Nice to HaveExperience fine-tuning LLMs for domain-specific applications.Experience with RAG and vector databases (FAISS, Pinecone, Weaviate, Vespa, etc.).Working knowledge of knowledge graphs, embeddings, or multimodal ML.Experience optimizing ML models for real-time processing in production environments.Who You AreSuccessful candidates will also demonstrate many of the characteristics that our core values represent:Build things that matter :You have a love of building something new or improving on current processes and care about making a positive difference.You love learning new things and are comfortable working in a startup-like, dynamic environment -- moving quickly, even in the face of ambiguity. You are a self-directed leader who can jump in, structure their own work, and figure out how best to execute a plan yourself and with others. At Tekmetric our leaders are all players and coaches.Yes before no :You keep an open mind and are excited about new ideas and helping others actualize their ideas. You are intellectually curious and analytical in a strategic context.We matter to each other :You care about people and see the success of one is success for us all. You are a highly ethical individual with unquestioned integrity and the experience, confidence, and stature to protect confidential information in a growing company.Why You'll Love Working With UsHealth & Wellness That Have You Covered:Enjoy the flexibility of remote workCompetitive base salaries that reflect your value.Generous Paid Time Off, because we know you do your best work when you're well-rested.Support for every stage of life—with paid maternity, parental bonding, and medical leave for you or your loved prehensive 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.Prioritizing your mental health: get free, confidential counseling through our partnership with vesting in Your Future (and Present):401(k) Retirement Savings Plan with 100% employer match on contributions up to 6% - so your future self will thank you.Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA) to make your money go further.Life and Accidental Death & Dismemberment (AD&D) Insurance for added peace of mind.Wellness on your terms: get up to $60/month toward fitness, mental health, or almost anything that helps you feel your best.After one year of employment, enjoy a $300 home office setup bonus to help make your space work for you.Keep growing with support for continuing education - we’re invested in your development.Most importantly, we have a stellar team of coworkers, a really cool office, and lots of fun activities!Tekmetric 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.We 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.*First Name *Last Name *Email *PhoneResume/CVLinkedIn Profile *How did you hear about us? *What are your salary expectations (Please provide a range) *Are you currently authorized to work in the US? * Select...Do you now, or will you in the future, require sponsorship? * Select... #J-18808-Ljbffr

Created: 2025-09-17