Brilliant Infotech Inc.

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist (AI/ML, GenAI) on a W2 contract in San Francisco, CA, offering a competitive pay rate. Requires 4+ years of experience in data science, strong Python and SQL skills, and a Master’s degree in a related field.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 11, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
San Francisco Bay Area
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Monitoring #Python #Statistics #PyTorch #Anomaly Detection #PySpark #Databricks #Hugging Face #TensorFlow #AWS (Amazon Web Services) #Spark (Apache Spark) #R #Computer Science #ML (Machine Learning) #Scala #Data Pipeline #Cloud #Data Science #SageMaker #SQL (Structured Query Language)
Role description
Data Scientist (AI/ML, GenAI) Location: San Francisco, CA Type of Employment: W2 Contract Job Summary: We are seeking a Data Scientist to build and deploy scalable AI/ML and Generative AI solutions for large-scale data and document processing. This role involves working closely with business stakeholders to design models, develop production-ready solutions, and support AI/ML platforms in a modern cloud environment. Key Responsibilities: • Design and implement AI/ML and GenAI solutions (RAG, document understanding, anomaly detection) • Build, deploy, and maintain models using Python, ML frameworks, and cloud tools • Develop scalable data pipelines using Databricks, PySpark, and modern data platforms • Collaborate with business teams to translate use cases into technical solutions • Establish and support MLOps practices, model monitoring, and performance tuning • Provide technical guidance and support for AI/ML initiatives Required Skills: • 4+ years of experience in Data Science / ML / AI development • Strong Python and SQL skills; experience with R or similar tools • Hands-on experience with ML frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face) • Experience with LLMs, RAG architectures, and prompt engineering • Experience working with unstructured data/document processing • Knowledge of AWS AI/ML services (SageMaker, Bedrock) • Experience with Databricks, PySpark, and modern data stacks • Strong communication and stakeholder engagement skills Qualifications: • Master’s degree in Data Science, Computer Science, Statistics, or related field