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Data Scientist and AI Engineering Manager
2 months ago
At Franklin Templeton, we are pushing the boundaries of innovation by developing cutting-edge solutions to help our clients achieve their financial goals. Our diverse team spans asset management, wealth management, and fintech, offering a wide range of opportunities to make a meaningful impact.
We're looking for a highly skilled Data Scientist and AI Engineering Manager to lead our team in delivering exceptional results. As a key member of our organization, you will be responsible for designing, developing, and deploying AI and machine learning models that drive business value.
The ideal candidate will have a strong background in data science, machine learning, and software engineering. You should be able to work effectively with cross-functional teams to gather requirements, design solutions, and deliver high-quality products.
A successful candidate will demonstrate expertise in Python programming, as well as experience with cloud platforms such as Amazon AWS and data platforms such as Databricks and SnowFlake. Familiarity with dynamic programming methodology, reinforcement learning techniques, and neural networks is also a plus.
This role requires exceptional problem-solving skills, structured thinking, and the ability to communicate complex ideas effectively. If you're passionate about staying up-to-date with the latest technological advancements and suggesting ways to improve our processes, this could be the perfect opportunity for you.
Key Responsibilities:
- Design, develop, and deploy AI and machine learning models
- Lead multiple project modules and collaborate with cross-functional teams
- Guide junior team members and provide mentorship
- Develop and maintain software documentation
- Actively participate in release discussions and prioritize tasks effectively
What We Offer:
- A competitive salary: ₹2,500,000 - ₹3,500,000 per annum, based on qualifications and experience
- Opportunities for professional growth and development
- Collaborative and dynamic work environment
Requirements:
- Bachelor's and master's degree in computer science, mathematics, or related field from a reputable institution
- 5-8 years of experience in data science, machine learning, or software engineering
- Strong background in Python programming and experience with cloud platforms and data platforms
- Excellent communication and problem-solving skills
Join us at Franklin Templeton and contribute your expertise to shaping the future of financial services.