Machine Learning Engineer
| Company | Tekmetric |
|---|---|
| Location | Houston, TX, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Mid Level, Senior |
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.