Excelon Solutions

Excelon Solutions

Data & AI engineer

Minneapolis, Minnesota, USContractor4 days agovia LinkedIn

Salary

-

Job type

Contractor

Location

Minneapolis, Minnesota, US

Remote

No

Posted

4 days ago

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Job description

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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