Gen AI Lead/Data Scientist

About the job

Prospect 33 (P33.ai) India | Full-Time | Remote Leadership Role As part of the continued expansion of our world-class Data, AI & Research Technology (DART) practice, Prospect 33 is adding another exceptional Gen AI Lead/Data Scientist (Ph D) to our team. You will sit at the core of P33, leading high-impact initiatives for some of the world’s most sophisticated banks and asset managers. This is not a vendor or staff-augmentation role. You will be a full member of our firm, owning architecture and delivery end-to-end, and shaping how generative and predictive AI transforms investment research, sales, trading, and risk across global markets. What You’ll Do • Build and productionize next-generation data products and AI signals using traditional and alternative data at scale. • Design, optimize, and lead end-to-end Data & ML pipelines (ingestion → feature stores → training → low-latency inference) that directly influence multi-billion-dollar strategies. • Provide distributed-systems leadership by profiling Spark/Databricks workloads, eliminating latency and cost inefficiencies, and setting technical standards across engagements. • Drive MLOps and Gen AI adoption (CI/CD, IaC, MLflow, LLM orchestration, agent frameworks). • Mentor high-potential junior engineers and represent P33 technically with senior client stakeholders, including C-suite executives. Must-Have Qualifications • Ph D or equivalent experience in the AI field • Expert-level proficiency in Python, SQL, PySpark, and modern ML frameworks in large-scale production environments. • Deep understanding of algorithms, data structures, distributed systems, and large-scale model training. • Demonstrated track record of research-to-production execution, shipping production-grade AI or ML systems. • Strong grounding in statistical modeling, machine learning theory, and applied AI system design. Strong Advantages • Hands-on experience with Generative AI, including LLMs, RAG architectures, agent frameworks, prompt engineering, and model evaluation. • Experience with Databricks, Snowflake, Kubernetes, Terraform, and cloud-native AI platforms. • Prior exposure to capital markets, including investment research, trading, risk, financial data, or alternative data. • Experience translating advanced research or experimental AI work into robust, scalable production systems. Why Prospect 33 • True ownership and long-term impact as a core, in-house leader, not a client bench resource. • Direct work with some of the most prestigious institutions in global finance while remaining part of a tight-knit, elite engineering and research culture. • Opportunity to shape the firm’s Gen AI strategy and intellectual property from the ground up. • Recognized as a top employer in financial technology, with a strong culture of technical excellence and innovation. If you thrive on petabyte-scale data, sub-millisecond inference, and seeing your models drive real market outcomes, we would like to speak with you. Apply by sending your resume to: Prospect 33 — Elite engineering. Capital markets focus. Unmatched momentum. Come build the future of finance with us.

Requirements

• Python
• SQL
• PySpark
• MLOps
• Generative AI
• Statistical Modeling
• Machine Learning

Qualifications

• Ph D or equivalent experience in the AI field

Preferred Technologies

• Python
• SQL
• PySpark
• MLOps
• Generative AI
• Statistical Modeling
• Machine Learning

Benefits

• True ownership and long-term impact
• Direct work with prestigious institutions
• Opportunity to shape Gen AI strategy

About the company

Prospect 33 is expanding their world-class Data, AI & Research Technology (DART) practice, with a focus on developing exceptional capabilities in generative and predictive AI for investment research, sales, trading, and risk across global markets.