Machine Learning Engineer

Summary

Join Tekmetric, a rapidly growing cloud-based auto-repair shop management system company, as a Machine Learning Engineer specializing in NLP. You will develop and train NLP & ML models for document classification, text extraction, and entity recognition, applying LLMs and other techniques to power an intelligent search system. This role requires 3+ years of experience in Machine Learning & NLP, strong Python skills, and familiarity with various ML/NLP frameworks and AWS services. You will collaborate with data engineers and utilize distributed computing for large-scale processing. Tekmetric offers a dynamic work environment, flexible and remote work opportunities, generous PTO, exceptional leave programs, excellent healthcare benefits, a 401(k) plan, and more.

Requirements

• 3+ 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, embeddings
• Knowledge 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

Responsibilities

• 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

Preferred Qualifications

• Experience 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

Benefits

• Flexible and remote work opportunities
• Generous PTO
• Exceptional leave programs for all of life’s moments: maternity, paternity and parental bonding, as well as medical leave to care for yourself or loved ones
• Excellent Medical, Dental, Vision and Prescription Drug Coverage
• 401(k) Retirement Savings Plan with a 6% Match
• Employer covered STD, LTD, Life and AD&D Insurance Programs
• Up to $60 monthly for wellness expenses and activities
• Education Assistance- includes undergraduate/graduate courses and continuing education