AIML Engineer

about sciemo

Sciemo builds AI for consumer goods: technology that helps businesses make faster smarter and more human decisions across the entire Sales and Operations Planning (S&OP) cycle. From optimizing promotions to balancing demand and supply Sciemos platform transforms messy siloed data into measurable business impact. Its AI agents assist decision-makers in real-time turning complexity into clarity. We are headquartered in New York City.

overview

We are an industry-leading startup developing AI for consumer brands. Our solutions leverage machine learning generative AI agent-based systems and graph technologies to get our customers to insights in seconds and to business impact in minutes using our products.

We are looking for a Founding Member of Technical Staff to join our team guiding the development and deployment of complex ML systems reporting to Dan Wald Co-Founder & CAIO.

role

As a Founding Member of Technical Staff you will work in a hybrid capacity as both a Data Scientist and Machine Learning Engineer you will play a pivotal role in designing building and deploying the intelligence behind our AI products. Youll work across the full spectrum of applied AIspanning data science machine learning and large-scale production engineering. This hybrid role requires both deep expertise in developing innovative models and the engineering discipline to deploy and maintain them in robust scalable systems.

Youll collaborate closely with data engineers product leads backend engineers and customer-facing teams to ensure that our AI systems deliver measurable value in real-world environments. As one of the earliest technical hires you will help define our AI strategy set technical standards and establish best practices for applied AI at scale.

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.

all about you

• 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 skillsable to work with both technical and non-technical stakeholders.

• Demonstrated thought leadership and innovation in applied AI.

benefits & perks

Check out our one pager!

location

Hybrid role based in New York City; open to remote U.S. candidates willing to travel monthly to our NYC office.

interview round

• Phone Screen

• Peer Interview

• Founders Interview

equal opportunity employer

We are an equal opportunity employer and consider applicants without regard to gender gender identity sexual orientation race ethnicity disability veteran status or any other characteristic protected by law. We actively encourage diversity inclusion and equitable hiring practices.

If you require accommodations during the hiring process please reach out to our recruitment team at

Required Experience:

IC