Data Scientist AI/ML
Data Scientist AI/ML
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1 Vacancy
Job Description
Job Title: Data Scientist AI/ML
Location: Farmington Hills MI
Domain: IT Services
Long Term Contract
Looking for W2 Candidates. No C2C
Job Summary:
Responsible for overseeing data science projects managing and mentoring a team and aligning data initiatives with business goals. Lead the development and implementation of data models collaborate with cross-functional teams and stay updated on industry trends. Ensure ethical data use and communicate complex technical concepts to non-technical stakeholders. Lead initiatives on model governance and model ops to align with regulatory and security requirements. This role requires technical expertise strategic thinking and leadership to drive data-driven decision-making within the organization and be the pioneer on generative AI healthcare solutions aimed at revolutionizing healthcare operations as well as enhancing member experience.
Required experience/knowledge skills & abilities:
- Experience as a data scientist preferably in healthcare environment but candidates with suitable experience in other industries will be considered
- Knowledge of big data technologies (e.g. Hadoop Spark)
- Familiar with relational database concepts and SDLC concepts
- Demonstrate critical thinking and the ability to bring order to unstructured problems
- Technical Proficiency: Strong programming skills in languages such as Python and R and experience with machine learning frameworks like TensorFlow Keras or PyTorch.
- Statistical Analysis: Excellent understanding of statistical methods and machine learning algorithms including k-NN Naive Bayes SVM and neural networks.
- Experience with Agentic Workflows: Familiarity with designing and implementing agentic workflows that leverage AI agents for autonomous operations.
- RAG Techniques: Knowledge of retrieval-augmented generation techniques and their application in enhancing AI model outputs.
- Model Fine-Tuning Expertise: Proven experience in fine-tuning models for specific tasks ensuring they meet the required performance metrics.
- Data Visualization: Proficiency in data visualization tools (e.g. Tableau Power BI) to present complex data insights effectively.
- Database Management: Experience with SQL and NoSQL databases data warehousing and ETL processes.
- Problem-Solving Skills: Strong analytical and problem-solving abilities with a focus on developing innovative solutions to complex challenges.
Preferred Experience:
- Experience with cloud platforms (e.g. Databricks Snowflake Azure AI Studio etc.) for working with AI workflows and deploying models.
- Familiarity with natural language processing (NLP) and computer vision techniques.
Best Regards
Tanuja P
Phone: 1-
Email:
Employment Type
Full-time
