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Contract Machine Learning Engineer Jobs in Webster, NY

Innovative Solutions

AI Solutions Engineer

Rochester, NY · Remote

$120K - $150K/yr

Solutions Architect Associate/Professional, Machine Learning Specialty, or Developer Associate (preferred) * Background in healthcare, financial services, or regulated industries with understanding ...

Innovative Solutions

AI Solutions Engineer

Rochester, NY · On-site +1

$120K - $150K/yr

Solutions Architect Associate/Professional, Machine Learning Specialty, or Developer Associate (preferred) * Background in healthcare, financial services, or regulated industries with understanding ...

CaterTrax, Inc.

Senior Agentic AI Engineer

Rochester, NY · On-site

$103K - $141K/yr

AI & MACHINE LEARNING PLATFORMS * Large language model (LLM) platforms: OpenAI / Azure OpenAI ... Schema design, data contracts, and data governance practices. SOFTWARE ENGINEERING & DEVOPS * ...

CaterTrax

Senior Agentic AI Engineer

Rochester, NY · On-site

$103K - $141K/yr

AI & MACHINE LEARNING PLATFORMS * Large language model (LLM) platforms: OpenAI / Azure OpenAI ... Schema design, data contracts, and data governance practices. SOFTWARE ENGINEERING & DEVOPS * ...

Gleason

Proposal Engineer - Pricing & Cost

Rochester, NY · On-site

$70K - $90K/yr

Develop and validate cost estimates for machines, options, engineered-to-order (ETO) solutions ... Collaborate with Sales, Finance, and Legal on special pricing arrangements, contracts, and ...

FirstLight

Carrier Voice Engineer

Victor, NY · On-site

$75K - $95K/yr

We are seeking an experienced Carrier Voice Engineer to secure, support, and optimize carrier-grade ... Apply AI, machine learning, automation, and advanced analytics to improve fraud detection, threat ...

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Showing results 41-60

All JobsContract Machine Learning Engineer JobsContract Machine Learning Engineer Jobs in Webster, NY

Contract Machine Learning Engineer information

See Webster, NY salary details

$28.9K

$118.2K

$177.7K

How much do contract machine learning engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for contract machine learning engineer in Webster, NY is $118,234.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,200.00 and $142,300.00 per year, depending on experience, location, and employer.

What is a contract machine learning engineer?

A Contract Machine Learning Engineer is a professional who builds and deploys machine learning models on a temporary or project-based basis. They typically work with companies seeking specialized expertise in data science, model development, or AI integration without committing to a full-time hire. Responsibilities may include data preprocessing, model training, algorithm optimization, and deployment. Contract roles allow for flexibility and are often remote, making them ideal for businesses with short-term AI needs or startups looking to scale their machine learning capabilities quickly.

What are the typical day-to-day responsibilities of a contract machine learning engineer?

As a Contract Machine Learning Engineer, your daily tasks usually involve gathering and preprocessing data, building and fine-tuning machine learning models, and collaborating with software engineers and product managers to integrate your models into production systems. You may also meet with clients or internal teams to gather requirements and provide technical insights, as well as document and present your findings to stakeholders. Work is typically project-based and may require a high degree of independence, flexibility, and adaptability. This dynamic environment often exposes you to a variety of industries and technical challenges, making each project unique and providing valuable experience for professional growth.

What are the key skills and qualifications needed to thrive in the contract machine learning engineer position, and why are they important?

To thrive as a Contract Machine Learning Engineer, you need a strong background in machine learning algorithms, data preprocessing, statistical analysis, and proficiency in programming languages such as Python or R, often supported by a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms (AWS, Google Cloud, Azure) or certifications in these areas are common requirements. Excellent problem-solving, communication, and time management skills are vital, especially when working with cross-functional teams and managing multiple projects remotely. These skills ensure effective delivery of high-quality, scalable machine learning solutions within tight project timelines and diverse client environments.

What cities near Webster, NY are hiring for Contract Machine Learning Engineer jobs? Cities near Webster, NY with the most Contract Machine Learning Engineer job openings:
Contract Machine Learning Engineer jobs near you
Infographic showing various Contract Machine Learning Engineer job openings in Webster, NY as of June 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% In-person job distribution, with an average salary of $118,234 per year, or $56.8 per hour.

AI Solutions Engineer

Innovative Solutions

Rochester, NY • Remote

$120K - $150K/yr

Full-time

Posted 4 days ago

Job description

We are seeking an AI Solutions Engineer to lead client AI initiatives from discovery through production deployment. You will partner with clients to identify high-impact Generative AI use cases, evaluate data readiness, and rapidly build proof-of-concept applications that demonstrate tangible business value. You will design and implement production-ready AI solutions leveraging Amazon Bedrock, foundation models, RAG pipelines, and AI agent frameworks such as LangChain and LlamaIndex. As a client-facing technologist, you will translate business requirements into technical architecture recommendations and guide clients on AI/ML best practices.

Location: This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter

What this role is responsible for:

AI Assessment & Discovery

  • Participate in client discovery workshops and technical interviews to identify and prioritize high-impact GenAI use cases
  • Analyze client data landscapes, evaluating data readiness, quality, and accessibility for AI solutions
  • Rapidly design and build proof-of-concept (POC) applications and live demonstrations that validate AI use cases and illustrate business value to client stakeholders
  • Translate discovery findings into technical specifications, architecture recommendations, and implementation plans
  • Present POC results and assessment recommendations to client teams, building confidence and momentum for production investments

GenAI Solution Development

  • Design and implement production-ready Generative AI applications using Amazon Bedrock, Anthropic Claude, and other foundation models
  • Build and optimize RAG (Retrieval-Augmented Generation) pipelines with vector databases (Weaviate, OpenSearch, Pinecone)
  • Develop AI agents and multi-agent orchestration systems using frameworks like LangChain, LlamaIndex, or custom implementations
  • Create conversational AI interfaces with natural language understanding, intent detection, and context management
  • Implement prompt engineering strategies, few-shot learning, and fine-tuning approaches for domain-specific applications
 

Client Engagement & Delivery

  • Translate business requirements into technical specifications and suggested implementation plans
  • Provide technical guidance and recommendations to clients on AI/ML best practices
  • Document architecture decisions, code, and deployment suggestions

What makes someone successful in this role:

  • You have a proven track record delivering production AI applications from concept to deployment
  • You excel at conducting technical discovery and assessment work, including stakeholder workshops and use-case identification
  • You can build proof-of-concept applications and live demonstrations that communicate technical concepts to non-technical audiences
  • You have excellent problem-solving skills and the ability to work independently with minimal supervision
  • You possess strong written and verbal communication skills for client-facing interactions
  • You are passionate about Generative AI and stay current with the latest developments in LLMs, agents, and AI frameworks

Requirements:

  • 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development
  • 2+ years of hands-on AWS experience with production deployments
  • 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents)
  • AWS Certifications: Solutions Architect Associate/Professional, Machine Learning Specialty, or Developer Associate (preferred)
  • Background in healthcare, financial services, or regulated industries with understanding of compliance requirements (HIPAA, PCI-DSS, SOC 2) (preferred)
  • Contributions to open-source AI/ML projects or published technical content (preferred)
  • Experience with multi-tenant SaaS architectures and data isolation patterns (preferred)
  • Knowledge of cost optimization strategies for AI workloads (model selection, caching, batching) (preferred)
  • Familiarity with frontend frameworks (React, Angular) for building AI-powered UIs (preferred)
The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate's professional experience, key skills, and education/training

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.