Senior ML Engineer: GenAI, Time-Series & Production AI

Reach Velocity - Emerging Technology ?? ??; Houston (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

Reach Velocity - Emerging Technology is seeking an experienced Machine Learning Engineer to join the Houston-based Data Science and ML team. The role spans the full ML lifecycle, collaborating with data scientists, ML specialists, software engineers and commercial teams on production-grade ML applications.

Projects include time-series forecasting, NLP and Generative AI, with applications in pricing, supply and demand and operational optimization.

Qualifications

• 5+ years' industry experience developing and deploying ML models.
• Strong Python skills for data science and software engineering.
• Experience delivering end-to-end ML solutions into production.
• Strong understanding of supervised and unsupervised learning.
• Experience with time-series modelling.
• Experience with NLP, LLMs and Generative AI applications.
• Experience with PyTorch, scikit-learn and Transformers.
• Cloud experience, preferably AWS.
• Experience with modern MLOps including Docker/Kubernetes, CI/CD, model deployment and monitoring.
• Experience with data orchestration tools such as Airflow or Dagster.
• Strong analytical and problem-solving ability.
• Comfortable with stakeholders.

Responsibilities

• Design, develop and deploy end-to-end ML and data science solutions.
• Build production ML systems from data ingestion and feature engineering through model deployment and monitoring.
• Develop and extend internal GenAI and LLM applications, including integrations, data connectors and prompt engineering.
• Apply techniques including time-series forecasting, NLP, classification and Generative AI to real-world commercial problems.
• Build robust, well-tested production-quality Python code.
• Contribute to ML pipelines, data orchestration and model-serving infrastructure.
• Integrate ML outputs into existing applications, dashboards and business workflows.
• Work with commercial and operational stakeholders to identify valuable ML opportunities.
• Communicate model results, assumptions and limitations clearly to non-technical stakeholders.
• Participate in code reviews, experimentation and technical decision-making.

Skills

Python

Machine Learning

Time-series

NLP

LLMs

PyTorch

scikit-learn

Transformers

AWS

Docker

Kubernetes

Airflow

Dagster

CI/CD

Production code

Education

Master's degree

Tools

Airflow

Dagster

Docker

Kubernetes

AWS

Streamlit

Job description

Reach Velocity - Emerging Technology is seeking an experienced Machine Learning Engineer to join the Houston-based Data Science and ML team. The role spans the full ML lifecycle, collaborating with data scientists, ML specialists, software engineers and commercial teams on production-grade ML applications.

Projects include time-series forecasting, NLP and Generative AI, with applications in pricing, supply and demand and operational optimization.