Data Scientist â AI/ML
Data Scientist â AI/ML
Posted on :
21-07-2025
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1 Vacancy
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Job Description
Job Title: Data Scientist AI/ML
Location: Troy MI.
Long Term Contract
Only W2. No C2C
Role & Responsibilities:
AI/ML Model Development: Design train and fine-tune machine learning and deep learning models including LLMs for predictive analytics automation and AI-driven decision-making.
Data Analysis & Feature Engineering: Collect process and analyze structured and unstructured data engineering relevant features to improve model performance.
Agent-Based & NLP Applications: Develop LLM-based AI solutions with a focus on prompt engineering fine-tuning and inference optimization.
Business Impact & Decision Support: Translate complex data science methodologies into actionable insights collaborating with stakeholders to drive business value.
End-to-End Model Deployment: Work with MLOps best practices to deploy and monitor models in production ensuring scalability efficiency and reliability.
Data Storytelling & Visualization: Develop clear compelling presentations and dashboards to communicate findings to non-technical stakeholders.
AI & Machine Learning: Experience in predictive modeling NLP deep learning and LLM-based applications (e.g. GPT BERT LangChain).
Programming: Proficiency in Python and experience with AI/ML frameworks (e.g. PyTorch TensorFlow Hugging Face).
Data Engineering & SQL: Ability to write efficient SQL queries to blend and structure data from multiple sources for modeling and analysis.
Cloud & MLOps: Experience with AWS (SageMaker S3 Redshift) Snowflake and ML pipeline automation.
Version Control & Collaboration: Proficiency using Git for code versioning and teamwork.
Curious & Innovative: Passionate about solving complex business problems using data and AI.
Ownership & Initiative: Proactively drive projects from conception to deployment.
Business Acumen: Understand how AI/ML solutions impact business goals and decision-making.
Effective Communication: Ability to explain technical models and AI methodologies to non-technical audiences.
Graduate degree (Masters or Ph.D.) in a quantitative field (e.g. Computer Science Data Science Statistics Engineering Mathematics Economics).
Experience with dashboarding tools (e.g. Power BI Dash Streamlit) for model performance monitoring.
Location: Troy MI.
Long Term Contract
Only W2. No C2C
Role & Responsibilities:
AI/ML Model Development: Design train and fine-tune machine learning and deep learning models including LLMs for predictive analytics automation and AI-driven decision-making.
Data Analysis & Feature Engineering: Collect process and analyze structured and unstructured data engineering relevant features to improve model performance.
Agent-Based & NLP Applications: Develop LLM-based AI solutions with a focus on prompt engineering fine-tuning and inference optimization.
Business Impact & Decision Support: Translate complex data science methodologies into actionable insights collaborating with stakeholders to drive business value.
End-to-End Model Deployment: Work with MLOps best practices to deploy and monitor models in production ensuring scalability efficiency and reliability.
Data Storytelling & Visualization: Develop clear compelling presentations and dashboards to communicate findings to non-technical stakeholders.
AI & Machine Learning: Experience in predictive modeling NLP deep learning and LLM-based applications (e.g. GPT BERT LangChain).
Programming: Proficiency in Python and experience with AI/ML frameworks (e.g. PyTorch TensorFlow Hugging Face).
Data Engineering & SQL: Ability to write efficient SQL queries to blend and structure data from multiple sources for modeling and analysis.
Cloud & MLOps: Experience with AWS (SageMaker S3 Redshift) Snowflake and ML pipeline automation.
Version Control & Collaboration: Proficiency using Git for code versioning and teamwork.
Curious & Innovative: Passionate about solving complex business problems using data and AI.
Ownership & Initiative: Proactively drive projects from conception to deployment.
Business Acumen: Understand how AI/ML solutions impact business goals and decision-making.
Effective Communication: Ability to explain technical models and AI methodologies to non-technical audiences.
Graduate degree (Masters or Ph.D.) in a quantitative field (e.g. Computer Science Data Science Statistics Engineering Mathematics Economics).
Experience with dashboarding tools (e.g. Power BI Dash Streamlit) for model performance monitoring.
Best Regards:
Ramdeep B
Phone: 1-
Email:
Ramdeep B
Phone: 1-
Email:
Employment Type
Full-time
Key Skills
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