Sr Data Scientist - Genai, Python, Sql, Pyspark, Hive, Azure @ Optum

Primary Responsibilities:

• Design, development, and deployment of AI/ML models and solutions; Optimize and fine-tune AI/ML models for performance and scalability
• Utilize solid development skills in programming languages such as Python, SQL, PySpark, Hive, Shell Scripting
• Ensure best practices in coding, testing, and deployment
• Stay updated with the latest advancements in AI/ML techniques and tools, and identify opportunities to apply them to enhance existing solutions
• Work on the full life cycle of AI/ML projects, including data preparation, model development, tuning, and deployment
• Manage multiple AI/ML projects simultaneously, ensuring timely delivery and quality
• Collaborate with cross-functional teams to define project requirements and deliverables
• Communicate effectively with stakeholders to understand their needs and provide technical insights
• Conduct research to identify new opportunities for AI/ML applications
• Provides explanations and interpretations within area of expertise
• Produce and distribute scheduled and ad-hoc reports on product development and performance
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Bachelor''s or Master''s degree in Computer Science, Engineering, Statistics or a related field
• 7+ years of experience in AI/ML
• Hands-on experience in delivering production-grade AI/ML projects
• Experience with deploying AI/ML models in production environments using cloud platforms like AWS, Azure, or GCP
• Solid background in programming languages such as Python, SQL, PySpark, Hive, Shell Scripting
• Solid programming skills in Python, with experience in pandas, NumPy, and SQL
• Robust skills in EDA, building and maintaining AI/ML data pipelines
• Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch
• Proven excellent problem-solving and analytical skills
• Proven ability to work in a fast-paced, dynamic environment
• Proven solid communication and interpersonal skills

Preferred Qualifications:

• Certifications, white papers and patents in the field of AI/ML
• Experience with cloud platforms AI Stacks like AWS Bedrock, Azure AI, GCP Vertex AI Hashtags : #AIForBetterHealthcare