Data Scientist - AI Engineer (PR-DS/AI-20250714)

Key Responsibilities

• LLM-led Innovation: Build and deploy LLM-powered tools and workflows that simplify analyst work, reduce errors, and accelerate delivery.
• Operational Transformation: Understand operational processes and create intelligent, scalable solutions that eliminate complexity and manual effort.
• Product Evolution: Partner with product and operations teams to infuse intelligence and automation into client-facing platforms.
• Client-Centric Design: Translate client pain points and product gaps into practical, data- driven AI solutions that enhance experience and outcomes.
• Rapid Experimentation: Prototype fast, test early, iterate often. Maintain speed without sacrificing accuracy or quality.
• Cross-Functional Collaboration: Work closely with engineering, product, client success, and operations teams to bring ideas to life.

Tech Stack You’ll Work With:

• Languages & Tools: Python (heavy use), SQL (PostgreSQL), Bash, Docker
• LLMs: OpenAI, Anthropic
• Platforms: Amazon Web Services (AWS)
• Frameworks & Libraries: LangChain, Hugging Face, PyTorch
• Workflow Orchestration: (planned upgrades)
• Environments: Linux (server), macOS (local dev)

Required Skills & Experience:

• 5+ years of hands-on experience as a data scientist or ML engineer, with demonstrated ownership of projects in production, and a minimum of 2 years’ experience with LLM’s.
• Proven experience applying LLMs and generative AI to real-world business problems.
• Strong Linux skills – comfortable navigating and scripting in a CLI-first environment
• Expert Python skills – you write clean, maintainable, tested, and efficient code
• Deep experience working with OpenAI models and APIs, including prompt engineering, finetuning and evaluation
• Fluent in SQL with ability to work efficiently with PostgreSQL datasets
• Experience using Docker for local and production development
• Proficiency with LangChain for building multi-step LLM workflows
• Effective remote communication and collaboration, especially in a distributed team with meetings on US Eastern Time
• Strong business acumen—able to connect technical solutions to operational and client value.
• Startup-style drive, agility, and hands-on mindset—you ship, not just ideate.
• Creativity and experimentation—willing to try, fail, and improve.
• Exceptional communication skills—can explain complex ideas simply and persuasively.

What We’re Looking For

• Proven experience applying LLMs and generative AI to real-world business problems.
• Deep proficiency in Python, NLP, and AI frameworks (e.g., Hugging Face, LangChain), vector databases, and prompt engineering.
• Strong business acumen—able to connect technical solutions to operational and client value.
• Startup-style drive, agility, and hands-on mindset—you ship, not just ideate.
• Creativity and experimentation—willing to try, fail, and improve.
• Exceptional communication skills—can explain complex ideas simply and persuasively.
• Minimum 3–5 years of experience in AI/ML roles, preferably in B2B or SaaS environments.
• Bachelor or Master in Computer Science, Data Science, AI, or related field.

Nice to Have:

• Experience with AWS cloud services (EC2, S3, etc.)
• Familiarity with workflow orchestration tools
• Knowledge of media analytics, journalism, or influence measurement
• Prior work with data labeling, theme detection, or benchmarking model output