Note: The job is a remote job and is open to candidates in USA. 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 ML systems, collaborating 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
Skills
- 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
Company Overview