Chennai, Tamil Nadu, India
Manufacturing & Industrial
Full-Time
Franklin Templeton Investments
Overview
Lexington Partners is one of the world’s largest and most trusted managers of secondary private equity and co-investment funds. Since our founding in 1994, we’ve been at the forefront of innovation in private equity investing, managing over $70 billion in committed capital and partnering with a global network of institutional investors, private equity firms, and portfolio companies.
What is the Data & AI Team responsible for?
- This team is responsible for designing and delivering data engineering, analytics, and generative AI solutions that drive meaningful business impact. We’re looking for a pragmatic, results-driven problem solver who thrives in a fast-paced environment and is passionate about building solutions at scale#MID_SENIOR_LEVEL
What is the Senior Data & AI Engineer responsible for?
The ideal candidate has a strong technical foundation, a collaborative mindset, and the ability to navigate complex challenges. You should be comfortable working in a fast-moving, startup-like environment within an established enterprise, and should bring strong skill sets to adapt new solutions fast. You will play a pivotal role in optimizing data infrastructure, enabling data-driven decision-making and integrating AI across the organization.
Key Responsibilities:
- Serve as a hands-on technical lead, driving project execution and delivery in our growing team based in the Hyderabad office. Projects span dashboards, analytics, and advanced AI use cases.
- Collaborate closely with the U.S.-based team and cross-functional stakeholders to understand business needs and deliver scalable, data- and AI-powered solutions.
- Design and implement data models and master data management solutions for structured data (in Snowflake) and manage unstructured data using vector embeddings.
- Build, maintain, and optimize robust data pipelines and frameworks to support business intelligence and operational workflows.
- Develop dashboards and data visualizations that support strategic business decisions.
- Evaluate and prototype AI/ML solutions aligned with business objectives, especially in the area of generative AI.
- Stay current with emerging trends in data engineering, AI, and machine learning—and help implement best practices within the team.
- Mentor and support junior engineers, fostering a culture of learning and technical excellence.
What ideal qualifications, skills & experience would help someone to be successful?
- Bachelor’s or master’s degree in computer science, data science, engineering, or a related field.
- 7+ years of experience in data engineering, software engineering, data science, or machine learning, including 3+ years in a technical leadership role.
- Strong SQL skills and hands-on experience with modern data pipeline technologies (e.g., Spark, Flink).
- Deep expertise in the Snowflake ecosystem, including data modeling, data warehousing, and master data management.
- Proficiency in at least one programming language—Python preferred.
- Experience working with large language models (LLMs), embeddings, and building generative AI prototypes.
- Experience with Tableau and Alteryx is a plus.
- Self-starter with a passion for learning new tools and technologies.
- Strong communication skills and a collaborative, ownership-driven mindset.
Work Shift Timings - 2:00 PM - 11:00 PM IST
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