AI/ML Engineer, Data Scientist

Sciemo is an industry-leading startup developing AI for consumer brands, transforming messy data into measurable business impact. They are seeking a Founding Member of Technical Staff to guide the development and deployment of complex machine learning systems, working closely with various teams to ensure AI systems deliver real-world value.

Responsibilities:

• Develop and Deploy AI Systems
• Architect, build, and deploy ML/GenAI products on cloud infrastructure (AWS or similar)
• Design and implement end-to-end AI workflows: data ingestion, feature engineering, modeling, evaluation, and deployment
• Create automated pipelines for continuous learning, model promotion, and performance monitoring
• System Architecture & Reliability
• Lead the design of ML orchestration frameworks (Airflow, Kedro, ZenML, Flyte) to ensure reproducibility and scalability
• Oversee deployment of large-scale and multi-agent AI systems with high reliability and fault tolerance
• Continuously optimize workflows for efficiency, robustness, and performance in production
• Applied Data Science & Business Impact
• Translate complex business problems into AI solutions, including data collection, experiment design, and roadmap planning
• Develop interpretable, modular, and scalable ML systems that deliver measurable business value
• Work directly with customers and stakeholders to ensure deployed systems achieve their intended impact
• Innovation & Thought Leadership
• Stay current with advancements in AI/ML, including LLMs, diffusion models, graph AI, and agent architectures
• Propose and prototype new approaches for integrating emerging technologies into production products
• Develop methods to quantify and communicate AI performance and business ROI
• Promote responsible, ethical, and impactful AI practices across the organization

Requirements:

• Proven track record of launching AI/ML products into production
• Experience with core ML/AI tools: Python, PyTorch, TensorFlow / Keras, scikit-learn, SQL, Spark
• Experience writing production-grade Python (object- and function-oriented)
• Hands-on expertise with large-scale ML systems, GenAI (LLMs, diffusion), agents, and graph-based models
• Experience designing and managing ML orchestration workflows and versioned pipelines (Airflow, ZenML, Kedro, dbt, etc.)
• Strong problem-solving skills, adaptability, and a 'hacker' mentality
• Excellent communication skills—able to work with both technical and non-technical stakeholders
• Demonstrated thought leadership and innovation in applied AI