Develop and implement AI / Machine Learning models using Python or similar languages.
Work on data collection, cleaning, and preprocessing.
Build and test ML algorithms (regression, classification, clustering, NLP, computer vision, etc.).
Collaborate with product, business, and engineering teams to translate business problems into AI solutions.
Deploy and monitor AI models in production environments.
Improve model performance through training, tuning, and validation.
Document model logic, workflows, and results.
For Senior Executive roles:
Guide junior team members
Own AI modules or sub-projects
Support strategic AI initiatives
Competitive fixed salary
Performance-based incentives / annual bonus
Spot awards or innovation bonuses (project-based)
Stock options / ESOPs (mainly in startups and product companies)
Medical insurance (employee + dependents)
Accident and life insurance
Annual health check-ups
Paid annual / earned leave
Casual and sick leave
Public holidays
Flexible working hours
Remote / hybrid work options (role & company dependent)
Sponsored AI / ML certifications and online courses
Access to platforms like Coursera, Udemy, Pluralsight
Participation in AI conferences, workshops, hackathons
Continuous learning on new AI tools, frameworks, and GenAI
Clear career progression to AI Engineer, Data Scientist, or Lead roles
Ajanta Pharma's board is supported by several committees, each focusing on specific areas to ensure effective governance: Audit Committee: Oversees financial reporting, internal controls, and audit processes. Stakeholders’ Relationship Commit... Read More