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Software Engineer II (AI Integration)
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time microservices, and MLOps tooling using Python, cloud platforms, and frameworks like LangChain.
Software Engineer III (AI Integration)
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time model serving, and MLOps tooling in Python and cloud platforms.
Senior Generative AI Software Engineer
Build and refine next-gen translation engines using generative AI and LLMs, applying techniques like fine-tuning and reinforcement learning to improve accuracy and adapt to client needs.
Software Engineer II (AI Integration)
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time APIs, and MLOps tooling in Python and cloud platforms.
Software Engineer III (AI Integration)
Build and deploy AI/ML pipelines, fine-tune LLMs, and integrate generative AI into banking systems using Python, cloud platforms, and MLOps tools.
Principal Data Scientist (Founding)
Principal Data Scientist at a biotech AI startup building interpretable ML models for drug production efficiency using time-series and sensor data, and advising pharma customers.
Snowflake Application Developer
Build and optimize scalable data pipelines and cloud-native apps using Snowflake, Databricks, Python and SQL to power reporting, analytics and operational processes for financial clients.
Applied AI Scientist – Generative AI & Agentic Systems
Build and validate enterprise Generative AI and Agentic AI systems using LLMs, RAG, and AI agents to improve financial services workflows while ensuring compliance with governance and audit standards.
Data Scientist
Build and scale predictive/prescriptive analytics and ML models for a global biopharma company using Python, PySpark, SQL, and Palantir Foundry.
Senior Full-Stack Developer
Build a cloud-native platform for pharmaceutical research, combining full-stack web apps, AI-powered features, and scalable microservices using React, Next.js, NestJS, Go/Python, and Kubernetes.
Data Engineer (PySpark)
Build and optimize PySpark pipelines for large-scale data processing, using HDFS, YARN, and Spark SQL to deliver clean datasets for analytics and reporting.
AWS Data Engineer
Designs and maintains scalable ETL pipelines and data models using Python, PySpark, and cloud platforms to process large financial datasets for capital markets clients.
Data Engineer with Spark
Build and optimize PySpark pipelines for large-scale data processing, tuning performance and integrating with Hadoop, HBase, and SQL databases.
Senior Software Engineer, Agentic AI
Build and deploy AI-driven features and agentic workflows using Python, ML frameworks, and cloud tools to power scalable content technology products.
Software Engineer II (AI Integration)
Build and deploy AI/ML systems for banking, including LLM pipelines, model fine-tuning, and real-time microservices using Python, cloud platforms, and MLOps tools.
Software Engineer III (AI Integration)
Build and deploy AI/ML systems for banking, including LLM pipelines, fine-tuning, and real-time microservices, using Python, cloud platforms, and MLOps tools.
Lead Data Engineer / Data Platform Lead
Lead a team to design and build scalable data pipelines on Hadoop/Databricks and cloud platforms, enabling analytics and GenAI/LLM-ready data ingestion for enterprise clients.
Senior Backend Engineer (SaaS, Data & AI)
Build and lead backend systems for a SaaS platform that integrates AI and cybersecurity, designing APIs and services to power scalable, data-driven features for IT management.
Data Scientist (ML Engineer)
Build and ship ML systems that autonomously optimize retail-media ad spend for thousands of brands in real time using Python, GCP, and reinforcement learning.
Data Scientist (ML Engineer)
Build and ship ML systems that autonomously set ad bids and allocate budgets for retail-media advertisers in real time, using Python, GCP, and emerging LLM-based reasoning layers.