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Senior Data Scientist / Machine Learning Engineer

techline consulting San Francisco Bay Area
Remote
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Design, build, and deploy AI projects end-to-end. Develop machine learning models to solve real-world problems. Collaborate with engineers to integrate ML models into production.

Key Highlights
Develop, train, and deploy machine learning models
Design and implement generative AI solutions
Collaborate with engineers to integrate ML models into production
Analyze large datasets to extract insights
Stay up-to-date with the latest AI research
Technical Skills Required
Python TensorFlow PyTorch scikit-learn AWS GCP Azure MLOps
Benefits & Perks
Remote work
Global team collaboration
Agile culture
Opportunity to work on high-impact AI projects

Job Description


Data Scientist / Machine Learning Engineer (Remote)

TechLine is hiring on behalf of an external client! Our client is a fast-moving tech company building real-world AI solutions, and they are looking for a Data Scientist / Machine Learning Engineer to join their dynamic team.

In this impactful role, you will design, build, and deploy AI projects end-to-end – from applied machine learning models in production to cutting-edge generative AI and fine-tuning large language models (LLMs). If you thrive in a collaborative, agile environment and love turning data into tangible product features, this could be the opportunity for you.

Responsibilities

  • Develop, train, and deploy machine learning models to solve real-world problems and power new product features.
  • Design and implement generative AI solutions; fine-tune large language models (LLMs) for specific use cases and applications.
  • Collaborate with engineers to integrate ML models into production (MLOps) and continuously improve model performance.
  • Analyze large datasets to extract insights, guide model development, and inform business decisions.
  • Stay up-to-date with the latest AI research and experiment with new techniques to keep our solutions state-of-the-art.

Qualifications

  • 3+ years of experience in data science or machine learning engineering, building and deploying ML models.
  • Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn); familiarity with generative AI or LLM fine-tuning is a plus.
  • Strong understanding of machine learning algorithms, data analysis, and statistical techniques.
  • Experience deploying models in a cloud environment (AWS, GCP, or Azure) and using MLOps tools for CI/CD.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile team environment.
  • Bachelor’s or Master’s in Computer Science, Data Science, or a related field is preferred.

Why You’ll Love This Role

  • Impact & Ownership: Work on high-impact AI projects from concept to production and see your solutions make a real difference.
  • Modern Tech Stack: Use the latest tools in machine learning, generative AI, and cloud technologies to build innovative products.
  • Remote & Global: This is a fully remote position – work from anywhere and collaborate with a diverse, global team.
  • Agile Culture: Join a tech-savvy team that iterates quickly and values innovation, learning, and collaboration.

If you’re passionate about building AI solutions and ready to take ownership in a cutting-edge environment, we'd love to hear from you!

#MachineLearning #DataScience #GenerativeAI #LLM #AI #RemoteWork #TechJobs #hiring


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