AI Engineer

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 have 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 and AI Team responsible for?

• We are building a growing Data and AI team. This team is responsible for building and managing data engineering, analytics, and GenAI solutions to drive business impact. We are looking for a pragmatic problem solver who thrives in a fast-paced environment and can deliver impactful solutions. The ideal candidate is a self-starter with a strong technical foundation, a collaborative mindset, and the ability to navigate complex data challenges. You will play a crucial role in integrating AI solutions in our existing digital solutions, optimizing our data infrastructure, and enabling insights through data#ASSOCIATE

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

• The AI/ML Engineer 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.

• 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.

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

• Take ownership of projects, operating in a startup-like culture within an enterprise 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