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 (PhD)toour 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 GenAI 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
- PhD or equivalentexperience 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 GenAI 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:
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Prospect 33 Elite engineering. Capital markets focus. Unmatched momentum.
- Come build the future of finance with us.
