AI/ML Engineer, Data Scientist

Sciemo

Founding Member of Technical Staff at Sciemo developing AI solutions for consumer brands. Leading architecture of AI systems and collaborating with teams to deliver measurable business impact.

Posted 7/15/2026full-timeNew York City • New York • 🇺🇸 United StatesMid-LevelSenior💰 $150,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting, building, and deploying AI/ML products on cloud infrastructure, with a focus on creating scalable and efficient workflows. Proficient in translating complex business challenges into AI solutions while ensuring responsible and impactful AI practices.

Highest-signal resume keywords

AI/ML Product DeploymentPython ProgrammingML Orchestration FrameworksLarge-Scale ML SystemsCommunication Skills

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningArtificial IntelligenceData IngestionFeature EngineeringModelingEvaluationDeploymentAutomated PipelinesProduction-Grade PythonSQL

Soft Skills

Problem-SolvingAdaptabilityCommunication

Tools & Technologies

AWSPyTorchTensorFlowKerasScikit-learnSparkAirflowKedroZenMLDbt

Industry Keywords

GenAILLMsDiffusion ModelsGraph AIAI PerformanceBusiness ROI

Tech Stack

Tools & technologies

AirflowAWSCloudKerasPythonPyTorchScikit-LearnSparkSQLTensorflow

About the role

Key responsibilities & impact

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
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
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
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

What you’ll need

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.

Benefits

Comp & perks

Offers Equity
25% discretionary performance bonus, paid quarterly