Excelon Solutions
Data & AI engineer
Salary
-
Job type
Contractor
Location
Minneapolis, Minnesota, US
Remote
No
Posted
4 days ago
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Note: Only independent visa candidate can apply
Role: Data & AI Lead
Location: Minneapolis, MN (Onsite )
Duration: Long-Term Contract
Key Responsibilities
- Lead end-to-end delivery of Data Science, Machine Learning, and AI solutions
- Drive architecture and implementation of scalable data platforms and AI systems
- Collaborate with cross-functional teams to translate business requirements into technical solutions
- Provide technical leadership, mentoring, and guidance to engineering teams
- Build customer-centric, data-driven solutions aligned with business goals
Required Skills & Expertise
Data Science & AI/ML
- Strong experience in Generative AI, RAG, and LLMs
- Proficiency in Python and SQL
- Hands-on experience with PyTorch, TensorFlow, Scikit-learn, Pandas, Polars
- Solid understanding of statistical analysis, hypothesis testing, and predictive modeling
Data Engineering
- Experience with Snowflake, Databricks, Redshift, DynamoDB
- Strong knowledge of Spark, Airflow, AWS Glue, MS Fabric
- Experience building scalable data pipelines and architectures
- Familiarity with FastAPI and Tableau
Full Stack & Cloud
- Expertise in AWS (Solutions Architect preferred) and Azure
- Experience with Kubernetes, Docker, CI/CD pipelines
- Hands-on with GitHub Actions, Terraform, React, TypeScript
Big Data & Architecture
- Strong experience with Data Warehousing / Lakehouse architectures
- Expertise in Solution Architecture and Big Data ecosystems (AWS/Azure)
- Experience in BI, visualization, and dashboarding
Leadership & Business Skills
- Strong technical leadership and team-building experience
- Experience in Agile engineering management
- Ability to drive strategic planning, project estimation, and execution
- Excellent communication and cross-functional collaboration skills
- Business mindset with focus on growth and innovation
Responsibilities
- Lead end-to-end delivery of Data Science, Machine Learning, and AI solutions
- Drive architecture and implementation of scalable data platforms and AI systems
- Collaborate with cross-functional teams to translate business requirements into technical solutions
- Provide technical leadership, mentoring, and guidance to engineering teams
- Build customer-centric, data-driven solutions aligned with business goals
Qualifications
- Strong experience in Generative AI, RAG, and LLMs
- Proficiency in Python and SQL
- Hands-on experience with PyTorch, TensorFlow, Scikit-learn, Pandas, Polars
- Solid understanding of statistical analysis, hypothesis testing, and predictive modeling
- Experience with Snowflake, Databricks, Redshift, DynamoDB
- Strong knowledge of Spark, Airflow, AWS Glue, MS Fabric
- Experience building scalable data pipelines and architectures
- Familiarity with FastAPI and Tableau
- Full Stack & Cloud:
- Experience with Kubernetes, Docker, CI/CD pipelines
- Hands-on with GitHub Actions, Terraform, React, TypeScript
- Strong experience with Data Warehousing / Lakehouse architectures
- Expertise in Solution Architecture and Big Data ecosystems (AWS/Azure)
- Experience in BI, visualization, and dashboarding
- Strong technical leadership and team-building experience
- Experience in Agile engineering management
- Ability to drive strategic planning, project estimation, and execution
- Excellent communication and cross-functional collaboration skills
- Business mindset with focus on growth and innovation
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