Engineering-L2 -Associate-Software Engineering

Goldman Sachs; Bengaluru; Sur place; INR 4 000 000 - 7 000 000; Plein temps

Résumé du poste

Goldman Sachs is seeking an AI Innovation Acceleration Specialist to design and deploy end-to-end AI/ML solutions that address real business needs. You will prototype rapidly, collaborate with product and engineering teams, and ensure knowledge transfer to owning groups.

This hands-on role requires strong Python expertise, experience with LLMs, MLOps, and cloud platforms, plus the ability to communicate complex concepts to stakeholders at all levels.

Qualifications

• BS/MS in Computer Science, Data Science or related quantitative field.
• 5+ years hands-on AI/ML development with end-to-end delivery.
• Experience in LLMs, prompt engineering, RAG, and agentic frameworks.

Responsabilités

• Lead end-to-end AI/ML model development from ideation to deployment.
• Partner with business and engineering teams to translate needs into technical specifications.
• Architect scalable AI solutions that integrate with existing Goldman Sachs systems.

Connaissances

AI/ML development

Python

TensorFlow

PyTorch

Cloud platforms

MLOps

Communication

Mentoring

Formation

Bachelor's or Master’s in Computer Science / Data Science

Outils

TensorFlow

PyTorch

Keras

Description du poste

:"

The agile AI Innovation Acceleration team will operate with the speed and spirit of a startup, focused on rapidly prototyping and building cutting-edge AI use cases that directly address the critical needs of our businesses. The primary goal of this team is to demonstrate the transformative potential of AI within the firm, rapidly deliver impactful solutions, and then seamlessly transfer the code, knowledge, and ownership to the respective business and engineering teams. This hands‑on engineering role is pivotal in shaping the future of AI adoption at Goldman Sachs and fostering a culture of innovation and accelerated development.

As an AI Innovation Acceleration Specialist, you will be instrumental in identifying, developing, and deploying end-to-end AI/Machine Learning solutions that drive tangible business value; you will work in a fast‑paced environment, leveraging your expertise to translate complex business challenges and customer needs into actionable AI architectures and technical specifications, and then implement and deliver these systems.

Key Responsibilities

• Rapid Prototyping End-to-End Development: Lead the end-to-end development of AI/ML models and applications, from ideation and data exploration to rapid prototyping and initial deployment.
• Business Partnership Solution Architecture: Collaborate closely with business and engineering teams to deeply understand their challenges and customer needs, identify high-impact AI use cases, and translate business requirements into robust technical specifications and solution architectures.
• Solution Implementation Delivery: Architect, implement, and deliver scalable, robust, and maintainable AI solutions based on defined technical specifications and architectures, ensuring seamless integration with existing systems and workflows within the Goldman Sachs ecosystem.
• Knowledge Transfer Enablement: Facilitate effective knowledge transfer through comprehensive documentation, training sessions, mentorship, and pair-programming, empowering receiving teams to take ownership and continue the development of AI solutions.
• Technology Innovation Leadership: Stay abreast of the latest advancements in AI, machine learning, and relevant technologies, continuously evaluating and recommending new tools, techniques, and best practices to drive innovation.

Qualifications

• Bachelors or Masters degree in Computer Science, Data Science, or a related quantitative field.
• 5+ years of hands‑on experience in AI/ML development, with a proven track record of delivering end-to-end AI solutions in a professional setting.
• Demonstrated experience building and deploying end-to-end AI applications, particularly those leveraging LLMs and related frameworks.This includes experience with prompt engineering, fine‑tuning, Retrieval Augmented Generation (RAG), and agentic frameworks.
• Strong proficiency in programming languages such as Python, along with relevant AI/ML frameworks (e.g., TensorFlow, PyTorch).
• Proven ability to translate complex business requirements and customer needs into well-defined technical architectures and specifications, and to subsequently implement and deliver robust systems based on these designs.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices for model deployment and management.
• Excellent communication capabilities, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders across all levels of the organization.
• Strong collaboration and interpersonal skills, with a passion for mentoring and enabling others.
• Proven ability to lead or significantly contribute to cross‑functional projects.

ABOUT GOLDMAN SACHS

The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world.