AI/ML Engineer

Key Responsibilities & Requirements:
• Hands-on GenAI/ML modeling with complex datasets; strong theoretical foundation in AI/ML
• Expertise in:
o Supervised/unsupervised learning
o Deep learning, reinforcement learning, federated learning
o Time series analysis, optimization, Generative AI
• Strong Python coding (functions, classes); production-ready software development
• Experience developing and deploying code in agile, AI product-focused teams
• Comfortable working in cloud/HPC environments (AWS, GCP, Databricks, Apache Spark)
• Experience with CI/CD, orchestration for AI/ML (Machine Learning) pipeline development
• Proficient with:
o Python (required), R (nice to have), Scala (bonus)
o SQL/NoSQL, Snowflake, cloud databases
• Excellent communication, data visualization, and storytelling skills
• Skilled in simplifying technical concepts for business stakeholders
• Team-oriented with ability to manage multiple priorities in fast-paced environments
• Familiarity with Tableau, Power BI, Plotly, Git/version control, APIs
Required:
• Experience with CI/CD, orchestration for AI/ML (Machine Learning) pipeline development
• Python (required)
• Minimum 2-4 years of experience depending on education level (refer to JD) - experience is not required in pharma/ biotech, will consider other industries, Google, etc.
• Nice to have/ Preferred Skills:
• Proficiency in R or Scala
o Experience in life sciences or healthcare
o Experience in global, complex organizations
o Exposure to tools like DataRobot, Dataiku, Alteryx