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Data Curation Ai Machine Learning Jobs in New York

Artefact

Director, AI & Data Science

Manhattan, NY · On-site

What you will be doing You will lead a team of AI & machine learning engineers and managers ... Experience building fine-tuning pipelines end to end: training data curation, supervised fine ...

Artefact

Director, AI & Data Science

Manhattan, NY · On-site

What you will be doing You will lead a team of AI & machine learning engineers and managers ... Experience building fine-tuning pipelines end to end: training data curation, supervised fine ...

ExaCare AI

Machine Learning Engineer

Manhattan, NY · On-site

$110 - $150/hr

We are seeking a highly adaptable, creative, and well‑rounded Machine Learning Engineer to join ... curating novel datasets from scratch. * Bachelor's or Master's degree in Computer Science, AI, Data ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · On-site

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... You will work on projects involving image capture , data extraction , and fraud detection ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · Hybrid

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... You will work on projects involving image capture, data extraction, and fraud detection, delivering ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · Hybrid

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... You will work on projects involving image capture, data extraction, and fraud detection, delivering ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · On-site

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... You will work on projects involving image capture , data extraction , and fraud detection ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · Hybrid

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... You will work on projects involving image capture , data extraction , and fraud detection ...

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Data Curation Ai Machine Learning information

What is a data curation AI machine learning specialist?

A Data Curation AI/Machine Learning specialist is a professional who manages, organizes, and prepares large datasets to be used in artificial intelligence and machine learning projects. They ensure that data is accurate, relevant, and accessible, often cleaning and labeling data so it can be effectively used to train machine learning models. Their role bridges the gap between raw data sources and the teams building AI solutions, enabling more reliable and efficient model development. They may also work with data governance, privacy, and compliance issues to ensure data quality and security.

What are the key skills and qualifications needed to thrive as a data curation AI machine learning specialist?

To thrive as a Data Curation AI Machine Learning Specialist, you need strong data management skills, a background in computer science or data science, and experience with machine learning principles. Familiarity with programming languages like Python or R, data labeling tools, and database systems, as well as certifications in machine learning or data engineering, are typically required. Attention to detail, critical thinking, and effective communication stand out as essential soft skills for managing complex datasets and collaborating with cross-functional teams. These skills ensure high-quality, well-organized data that drives accurate machine learning models and reliable AI outcomes.

What are some common challenges faced by data curation professionals working in AI and machine learning projects?

One of the key challenges data curation specialists encounter in AI and machine learning is ensuring the quality and consistency of large, diverse datasets. This often involves dealing with missing, incomplete, or biased data, which can impact model performance. Additionally, data curators must navigate evolving data privacy regulations and work closely with data scientists, engineers, and domain experts to align data preparation with project goals. Effective communication and a meticulous approach are crucial for maintaining data integrity and supporting robust machine learning outcomes.

What is the difference between Data Curation Ai Machine Learning vs Data Analyst?

AspectData Curation Ai Machine LearningData Analyst
Primary FocusPreparing and managing data for AI and ML modelsAnalyzing data to generate business insights
Skills RequiredData management, programming, understanding of AI/ML algorithmsStatistical analysis, data visualization, Excel, SQL
Tools UsedPython, R, SQL, data cleaning toolsExcel, Tableau, SQL, statistical software
Work EnvironmentData science teams, AI/ML projects, tech companiesBusiness departments, analytics teams, consulting firms

While Data Curation Ai Machine Learning specialists focus on preparing data for AI and machine learning models, Data Analysts interpret data to support business decisions. Both roles require strong data skills but differ in their primary objectives and tools used.

What are popular job titles related to Data Curation Ai Machine Learning jobs in New York?

For Data Curation Ai Machine Learning jobs in New York, the most frequently searched job titles are:

What job categories do people searching Data Curation Ai Machine Learning jobs in New York look for?

The top searched job categories for Data Curation Ai Machine Learning jobs in New York are:

What cities in New York are hiring for Data Curation Ai Machine Learning jobs?

Cities in New York with the most Data Curation Ai Machine Learning job openings:

Data Curation Ai Machine Learning jobs near you
Infographic showing various Data Curation Ai Machine Learning job openings in New York as of August 2026, with employment types broken down into 10% Internship, 60% Full Time, 10% Part Time, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

Director, AI & Data Science

Artefact

Manhattan, NY • On-site

Full-time

Re-posted 24 days ago

Key responsibilities

  • Lead the design, build, and optimization of production AI systems, including classical machine learning models and LLM applications.

  • Define and standardize context engineering and harness engineering practices to ensure reliable, safe, and measurable LLM systems in production.

  • Manage, mentor, and develop a team of AI & ML engineers, setting technical standards and fostering best practices.

Job description

About the job
Do you think like a management consultant, thrive in a startup environment, and can't stop thinking about the intersection of data, technology, and marketing?
With over 2000 employees, offices on five continents, and world-class clients like Samsung, L'Oreal, and Mattel, Artefact is a consulting firm that transforms data into value and business impact. We've recently launched in the US with offices located in NYC and Los Angeles, and we want you to join us as an integral part of our founding team!
Who We Are
Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we're also growing in parallel.
We have 2000 employees across 36 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe.
Find out more at artefact.com.
What you will be doing
You will lead a team of AI & machine learning engineers and managers, driving the design and delivery of production-grade AI solutions - from classical machine learning models to LLM-powered applications - and the pipelines that power them. You'll bring senior technical judgment to architecture and model decisions, partner closely with clients and business stakeholders - including hands-on pre-sales work shaping proposals and solution designs - and define how context engineering, agent harnesses, and fine-tuning practices get embedded into every solution, while reporting into senior AI/technology leadership on strategy and priorities.
  • AI & ML Solution Architecture: Leading the design, build, and optimization of production AI systems - classical machine learning models, LLM applications, and agentic systems - ensuring scalability, reliability, and cost-efficient inference.
  • Context Engineering: Defining and standardizing context engineering practices - prompt and system design, RAG architectures, vector stores, memory management, and tool/function calling - so models receive the right information at the right time.
  • Harness Engineering: Directing the build of robust agent harnesses - orchestration layers, evaluation frameworks, guardrails, and observability - that make LLM systems reliable, safe, and measurable in production.
  • Fine-Tuning Pipelines: Leading the design and operation of fine-tuning and model adaptation pipelines - training data curation, supervised fine-tuning, evaluation, and deployment - to specialize models for client use cases.
  • Platform Stack: Architecting and deploying solutions on Google Gemini Enterprise and Vertex AI as the primary stack, applying working knowledge of Microsoft AI Foundry and AWS Bedrock where client contexts require.
  • Team Leadership: Managing, mentoring, and developing a team of AI & ML engineers; setting technical standards and fostering best practices and knowledge sharing.
  • Pre-Sales & Business Development: Supporting pre-sales activities - scoping engagements, building demos and proofs of concept, and presenting solution architectures to prospective clients alongside account teams.
  • Machine Learning Modeling: Overseeing the development of classical and modern ML models - predictive modeling, forecasting, recommendation, and deep learning - choosing the right technique for each business problem, LLM or not.
  • Contributing to AI Strategy: Partnering with senior leadership to shape GenAI architecture direction, tooling decisions, and platform roadmap within your area.

What we are looking for
  • The ideal candidate has a substantial Data Science and machine learning background with 8+ years of experience, including at least 2-3 years working on LLM architecture, agentic design, and harness & context engineering.
  • Expertise in generative AI/LLM engineering (context engineering, agent harnesses, RAG, and fine-tuning) and in classical machine learning modeling, with proven production deployments.
  • Master's degree (or higher) in computer science, engineering, statistics/mathematics, or a related field.
  • Hands-on command of core machine learning libraries (scikit-learn, XGBoost, etc.), agentic SDKs (LangGraph/LangChain, Google ADK, Claude Agent SDK), and fine-tuning frameworks (PyTorch, TensorFlow).
  • Experience building fine-tuning pipelines end to end: training data curation, supervised fine-tuning, evaluation, and deployment.
  • Solid grasp of AI system design: ML model lifecycle (MLOps), agents, tool use, evaluation harnesses, guardrails, and observability.
  • Deep experience with Google Gemini Enterprise / Vertex AI; basic working knowledge of Microsoft AI Foundry and AWS Bedrock.
  • Experience leading and growing engineering teams, and supporting pre-sales: proposals, demos, and solution scoping with clients.
  • Excellent communication skills and comfort collaborating across teams and with stakeholders.
  • Strong business acumen with an interest in business-facing work.
  • Adaptability and a start-up mentality to thrive in a dynamic environment.

Preferred:
  • Google Gemini Enterprise ecosystem (Vertex AI, Agent Builder) as the primary stack; basic knowledge of Microsoft AI Foundry and AWS Bedrock

Why Join Us
We are united by our values and strengthened by our hybrid expertise.
  • There is always a way: We're from the breed of does, of diggers, of makers. Because ideas are valuable only if executed.
  • Client trust is won on the field: Addressing client needs flows better hands on at their side.
  • If not used, it is useless: Our love for technology translates into a steep desire for adoption, true brilliance is about impact.
  • If not shared, our work is not done: Sharing knowledge is the best way to button up a mission, benefitting clients and colleagues.
  • We learn everyday: Tech is a land where everything moves at the speed of light, you better be ready to challenge yourself.

The estimated base compensation for this role starts at $200,000 (NYC location). Individual compensation is determined by skills, qualifications, and experience. In addition, this role is eligible for competitive benefits.

Apply