Data Scientist / AI-ML Engineer
lonvec technologies privateMillbrae (CA)
Data Scientist / AI-ML Engineer
Posted today
lonvec technologies privateMillbrae (CA)
SENIORITY
Lead
About the role
Data Scientist / AI-ML Engineer
Artificial Intelligence | Machine Learning | Data Science | Generative AI Full-time Hybrid
Location
San Francisco, CA | Seattle, WA | Boston, MA | Austin, TX | New York, NY
Deloitte is seeking talented Data Scientists and AI/ML Engineers to develop innovative artificial intelligence and machine learning solutions. The role involves designing, building, and deploying advanced analytics models that help organizations solve complex business challenges. The ideal candidate should have strong experience in machine learning, data analysis, AI frameworks, and cloud-based AI platforms. The candidate will work with cross-functional teams to build scalable AI solutions and leverage emerging technologies such as Generative AI and Large Language Models. Develop and implement machine learning models for business applications.
Perform data analysis, feature engineering, and model optimization.
Build AI solutions using Python and ML frameworks.
Work with Generative AI, NLP, and LLM-based applications.
Train, evaluate, and deploy machine learning models.
Analyze large datasets and generate actionable insights.
Collaborate with data engineers and software teams for production deployment.
Improve model accuracy, scalability, and performance.
Apply best practices in AI development and model governance
Requirements:
Python Programming Machine Learning Algorithms Deep Learning Artificial Intelligence (AI) TensorFlow / PyTorch Natural Language Processing (NLP) Generative AI Large Language Models (LLMs) Predictive Analytics SQL Data Visualization Statistics & Data Modeling AWS SageMaker / Azure AI Services MLOps & Model Deployment
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.