Digital & AI/ML Senior Engineer (Python, R/Java)

Posted 5 Days Ago
Be an Early Applicant
2 Locations
Senior level
Financial Services
The Role
The AI/ML Senior Engineer is responsible for developing generative AI tools to improve internal productivity and efficiency. This includes conducting research, creating proof-of-concept models, collaborating with cross-functional teams, preprocessing data, integrating AI solutions, and maintaining documentation. The role requires staying current with AI advancements and mentoring colleagues.
Summary Generated by Built In

At Franklin Templeton, we’re driving our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic and diversified firm spans asset management, wealth management, and fintech, offering many ways to help investors make progress toward their goals. Our talented teams working around the globe bring expertise that’s both broad and unique. From our welcoming, inclusive, and flexible culture to our global and diverse business, we offer opportunities not only to help you reach your potential but also to contribute to our clients’ achievements.

Come join us in delivering better outcomes for our clients around the world!

What is the “AI/ML Senior Engineer” in FTT AI & Digital Transformation group responsible for?

  • The AI/ML Engineer in the FTT AI & Digital Transformation group is responsible for researching and developing state-of-the-art generative AI tools and products. These tools aim to enhance the productivity and efficiency of our internal teams, specifically the sales, distribution, and operations teams. The role involves conducting extensive research and performing proof-of-concept work to validate the feasibility and effectiveness of AI models. The engineer will collaborate with cross-functional teams to integrate AI solutions seamlessly into existing workflows. Additionally, the AI/ML Engineer is expected to stay abreast of the latest advancements in AI and machine learning to ensure our solutions are cutting-edge and competitive.

Research and Proof-of-Concept Work:

  • The role includes a significant focus on research work to explore the potential of new AI technologies and methodologies. This involves experimenting with different algorithms and models to identify the most effective solutions for our needs. Proof-of-concept work is crucial to demonstrate the practicality and benefits of these AI solutions before full-scale implementation.

What are the ongoing responsibilities of AI/ML Senior Engineer?

  • Developing AI-powered tools: Design, implement, and maintain generative AI systems to support the needs of internal teams. Ensure these tools are scalable, reliable, and efficient for daily use.

  • Conducting research: Regularly explore and analyze new AI trends and technologies to incorporate the latest advancements into our products. This includes reading research papers, attending conferences, and participating in industry forums.

  • Proof-of-concept (PoC) work: Create PoCs to evaluate the feasibility and performance of different AI models. Use these PoCs to demonstrate the potential benefits to stakeholders and guide decision-making.

  • Collaborating with teams: Work closely with sales, distribution, and operations teams to understand their needs and challenges. Tailor AI solutions to address specific pain points and improve overall efficiency.

  • Data preprocessing and analysis: Clean, preprocess, and analyze large datasets to extract meaningful insights. Use these insights to train and optimize AI models.

  • Integration and deployment: Integrate AI models into existing systems and workflows. Ensure smooth deployment and monitor the performance of these models in a production environment.

  • Documentation and reporting: Maintain comprehensive documentation of AI models, algorithms, and systems. Regularly report progress and results to stakeholders.

  • Mentorship and knowledge sharing: Provide guidance and mentorship to junior team members. Share knowledge and best practices to foster a collaborative and innovative work environment.

What ideal qualifications, skills & experience would help someone to be successful?

  • Bachelor’s degree in Computer Science, Data Science, Machine Learning, or a related field. A master’s or Ph.D. is preferred.

  • Strong understanding of machine learning algorithms, deep learning frameworks, and statistical analysis.

  • Proficiency in programming languages such as Python, R, or Java.

Work Experience:

  • 2-8 years of experience in AI/ML engineering or a related field.

  • Proven track record of developing and deploying AI solutions in a production environment.

  • Experience with data preprocessing, model training, and optimization techniques.

  • Familiarity with cloud platforms and tools for AI/ML development and deployment.

  • Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Work Shift Timings - 2:00 PM - 11:00 PM IST

Experience our welcoming culture and reach your professional and personal potential!

Our culture is shaped by our diverse global workforce and strongly held core values. Regardless of your interests, lifestyle, or background, there’s a place for you at Franklin Templeton. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life.

Hear more from our employees

 
By joining us, you will become part of a culture that focuses on employee well-being and provides multidimensional support for a positive and healthy lifestyle. We understand that benefits are at the core of employee well-being and may vary depending on individual needs. Whether you need support for maintaining your physical and mental health, saving for life’s adventures, taking care of your family members, or making a positive impact in your community, we aim to have them covered.

Highlights of our benefits include:

  • Professional development growth opportunities through in-house classes and over 150 Web-based training courses

  • An educational assistance program to financially help employees seeking continuing education

  • Medical, Life and Personal Accident Insurance benefit for employees. Medical insurance also cover employee’s dependents (spouses, children and dependent parents)

  • Life insurance for protection of employees’ families

  • Personal accident insurance for protection of employees and their families

  • Personal loan assistance

  • Employee Stock Investment Plan (ESIP)

  • 12 weeks Paternity leave

  • Onsite fitness center, recreation center, and cafeteria

  • Transport facility

  • Child day care facility for women employees

  • Cricket grounds and gymnasium

  • Library

  • Health Center with doctor availability

  • HDFC ATM on the campus

Learn more about the wide range of benefits we offer at Franklin Templeton

Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and existing employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation. 
 
Franklin Templeton is committed to fostering a diverse and inclusive environment. If you believe that you need an accommodation to search for or apply for one of our positions, please send an email to [email protected]. In your email, please include the accommodation you are requesting, the job title, and the job number you are applying for. It may take up to three business days to receive a response to your request. Please note that only accommodation requests will receive a response.

Top Skills

Java
Python
R
The Company
HQ: San Mateo, CA
11,198 Employees
On-site Workplace
Year Founded: 1947

What We Do

Franklin Resources, Inc. [NYSE:BEN] is a global investment management organization with subsidiaries operating as Franklin Templeton (www.franklinresources.com).

The products, services, information and materials referenced in this site may not be available to residents in certain jurisdictions. Consult with an investment professional or contact your local Franklin Templeton office for more information. This site and the information contained herein is not intended to constitute an offer to sell or an invitation or solicitation of an offer to buy any product or service by Franklin Templeton. Nothing in this website should be construed as investment, tax, legal or other advice. All investments involve risks, including potential loss of principal.

LinkedIn is owned by a third party unaffiliated with us. We are not responsible for LinkedIn’s privacy, security, or terms of use policies that control this service, nor their content, software, or tools (or those of any third party’s) that are available through links from this page. You use any third-party site/media, software and materials at your own risk.

US readers: This material is being distributed in the U.S. by Franklin Distributors, LLC. Member FINRA/SIPC and only offers U.S. registered Franklin Templeton products.

View our Terms and Conditions at: https://www.franklintempleton.com/help/social-media-guidelines/linkedin-guidelines
Non-US readers: View our Terms and Conditions at https://www.franklinresources.com/resources/linkedin

©2022 Franklin Templeton. All rights reserved.

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