Job Type

Full-time

Description

As a Senior Machine Learning Engineer specializing in NLP and LLM-powered models and microservices, you'll play a key role in shaping and delivering ML-powered products that transform how we process and extract insights from unstructured data. You'll focus on deploying scalable, high-impact solutions, with an emphasis on productization rather than research. If you're passionate about using advanced NLP techniques to solve real-world problems and have a knack for deploying and maintaining models at scale, this is the role for you.

We use a wide range of tools including Python, TensorFlow, PyTorch, Hugging Face, SQL, Kubernetes, Docker, Azure, and AWS. Candidates with experience in data engineering or MLOps (e.g., MLflow, CDK/terraform) are highly preferred.

Requirements

What You'll Do:

- Lead the design, development, and deployment of NLP and LLM-powered models that drive key products and business functions.

- Turn cutting-edge models into production-ready, scalable solutions, ensuring seamless integration into our applications.

- Build APIs and pipelines that power AI-driven insights from a variety of data sources like call transcriptions and enable our products to understand and process natural language data, including text classification, conversational AI, and document analysis.

- Collaborate with product teams, engineers, and other stakeholders to drive the vision and execution of ML-powered solutions.

- Ensure MLOps best practices are followed, with a focus on model monitoring, versioning, and retraining workflows.

- Serve as a technical mentor through code reviews, pair programming, and guidance on best practices.

What You Need:

- A relentless passion for learning, growth, and excellence in the field of machine learning.

- 5+ years of experience in machine learning engineering with a focus on NLP and LLM technologies (e.g., BERT, GPT, or similar transformer models).

- Proven experience in building and deploying large-scale NLP models for real-world applications.

- Expertise in turning research-based models into scalable, production-level solutions.

- Strong programming skills in Python, with deep familiarity in libraries like TensorFlow, PyTorch, or Hugging Face.

- Experience with cloud-based infrastructures (AWS, Azure, GCP) and tools like Kubernetes, Docker, and MLflow.

- A team-oriented mindset, with a passion for collaborating and mentoring others.

Preferred Skills:

- Hands-on experience with data engineering tasks such as data pipelines, ETL processes, and working with big data technologies like Spark.

- Familiarity with MLOps tools and practices, including continuous integration/deployment pipelines for machine learning applications.

- Expertise in automation of model retraining and ensuring long-term scalability and performance of deployed models.

- Experience with the automotive sales industry, voice recognition, or call center technologies.

What's In It for You:

- Competitive salary ranging from based on experience.

- Medical and dental insurance options.

- Company provided Long Term Disability and Life Insurance.

- 401k with company match to help secure your financial future.

- A monthly wellness allowance, reading stipend, and other perks to ensure a healthy work-life balance.

- Clear opportunities for career growth with mentorship from senior leaders.

- An exciting, collaborative work environment with regular team-building activities, and company events.