Senior Data Engineer

Summary

Unable to Provide Sponsorship or do C2C

We are seeking a Senior Data Engineer to support a Fortune 50 health insurance organization, driving impactful AI/ML initiatives across the pharmacy domain. This role will focus on designing, building, and scaling advanced machine learning solutions that support a wide range of use cases, including analytics, automation, and intelligent decision support within pharmacy operations.

• Lead the development and training of machine learning models.
• Optimize AI algorithms for performance, efficiency, and scalability.
• Design and implement robust and scalable data pipelines.
• Integrate AI systems with enterprise software and cloud-based applications.
• Drive data-driven decision-making by collaborating with cross-functional teams.
• Plan and lead analytics projects, ensuring alignment with business goals.
• Present findings and insights to stakeholders, translating complex technical results into actionable business recommendations.
• Ensure quality and compliance of data and modeling results with business and regulatory requirements.
• Mentor and guide junior data scientists, fostering technical growth and best practices in AI/ML development.

• At least 6 years of experience developing AI and machine learning solutions in a professional setting.
• Bachelor’s degree in Computer Science, Data Science, or a related field (Master’s degree preferred).
• Advanced proficiency in Python and SQL for data science applications.
• Strong understanding of machine learning techniques, including supervised, unsupervised, and reinforcement learning
  .
• Expertise in deep learning architectures such as CNNs, RNNs, Transformers
  , and NLP techniques
  .
• Experience developing AI-driven chatbots using Retrieval-Augmented Generation (RAG) and AI agents with Lang Chain
  .
• Proficiency in designing scalable and maintainable AI systems, including microservices and REST API development
  .
• Hands-on experience with cloud computing platforms, including AWS, Databricks, Azure, and GCP
  .
• Knowledge of MLOps best practices
  , including CI/CD pipelines
  , containerization (Docker, Kubernetes), and role-based access provisioning
  .
• Strong ability to communicate AI/ML insights and model performance to both technical and non-technical stakeholders
  .

• Expertise in mathematical concepts, including statistics, probability, linear algebra, and calculus
  .
• Experience with distributed computing frameworks such as Apache Spark
  .
• Familiarity with advanced AI tools and platforms, including PyTorch, Hugging Face, and Kafka
  .
• Strong project management and leadership skills
  , with experience driving AI/ML initiatives in a business environment.
• System design expertise, ensuring scalability and robustness in AI deployments.

• Direct communication with the hiring manager, which allows us to move candidates through the interview process faster.
• Dedication to keep an open line of communication and provide full transparency.

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.