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Remote Google Machine Learning Engineer Jobs in Hammond, IN

Inspire11

ML Engineering Consultant

Chicago, IL · On-site +1

Machine Learning Engineer - Inspire11 Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and ...

Humana

Lead AI Factory Engineer

Chicago, IL · On-site +1

$105K - $139K/yr

Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch * Experience ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Humana

Lead AI Factory Engineer

Chicago, IL · On-site +1

$105K - $139K/yr

Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch * Experience ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Humana

Lead AI Factory Engineer

Chicago, IL · On-site +1

$105K - $139K/yr

Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch * Experience ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

DISHER

Vision Engineer

Hammond, IN · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

DISHER

Vision Engineer

Hammond, IN · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Motorola

Senior DevOps Engineer (US REMOTE)

Chicago, IL · Remote

$140K - $170K/yr

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

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All JobsGoogle Machine Learning Engineer JobsRemote Google Machine Learning Engineer JobsRemote Google Machine Learning Engineer Jobs in Hammond, IN

Remote Google Machine Learning Engineer information

See Hammond, IN salary details

$30.3K

$124K

$186.3K

How much do remote google machine learning engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote google machine learning engineer in Hammond, IN is $123,974.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,700.00 and $149,200.00 per year, depending on experience, location, and employer.

What is a remote Google machine learning engineer?

A Remote Google Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models and artificial intelligence solutions, often using Google Cloud technologies, while working from a remote location. These engineers collaborate with cross-functional teams to solve complex business problems, optimize data pipelines, and improve model performance. Their responsibilities typically include data preprocessing, model selection, training, evaluation, and deployment, all while ensuring scalability and security. Working remotely allows them to contribute to projects from anywhere, leveraging cloud-based tools and collaboration platforms.

What are the key skills and qualifications needed to thrive as a remote Google machine learning engineer?

To thrive as a Remote Google Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning algorithms, typically supported by a relevant degree and experience in building scalable models. Proficiency with tools such as TensorFlow, Python, Google Cloud Platform (GCP), and familiarity with distributed systems is essential. Excellent problem-solving, communication, and self-management skills are crucial for effective remote collaboration and innovation. These capabilities enable engineers to deliver impactful machine learning solutions while seamlessly integrating with global Google teams.

How do remote Google machine learning engineers typically collaborate with cross-functional teams while working from different locations?

Remote Google Machine Learning Engineers often use a combination of video conferencing, cloud-based collaboration tools, and shared code repositories to work closely with data scientists, product managers, and software engineers. Regular stand-up meetings, sprint planning sessions, and detailed documentation help ensure everyone is aligned and project milestones are met. Despite being remote, engineers are encouraged to proactively communicate progress, share insights, and participate in code reviews to maintain a strong team dynamic and drive successful project outcomes.
What are popular job titles related to Remote Google Machine Learning Engineer jobs in Hammond, IN? For Remote Google Machine Learning Engineer jobs in Hammond, IN, the most frequently searched job titles are:
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Remote Google Machine Learning Engineer jobs near you
Infographic showing various Remote Google Machine Learning Engineer job openings in Hammond, IN as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $123,974 per year, or $59.6 per hour.

AI Engineer Lead - Remote / Telecommute

CYNET SYSTEMS

Chicago, IL • Remote

$115 - $120/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 13 days ago

Job description

Job Overview:
Pay Range: $115.00hr - $120.00hr
Requirement/Must Have:
  • 8+ years of software/AI/ML engineering experience, with 2+ years in a technical lead role.
  • Proven experience designing and deploying AI/ML and Generative AI solutions in production, ideally including orchestration frameworks and agentic architectures (e.g., LangChain, LangGraph, Semantic Kernel, AutoGen, or similar).
  • Strong hands-on experience with the Azure ecosystem (e.g., Azure OpenAI, Azure ML, Azure Functions, AKS, Azure Data services).
  • Experience with Snowflake, including Semantic Views and Cortex Analyst (or comparable text-to-SQL / semantic layer technologies).
  • Solid foundation in machine learning concepts, MLOps/LLMOps practices, and model lifecycle management, including integrating deployed ML models into orchestrated AI workflows.
  • Experience building RAG / document intelligence pipelines over unstructured content (e.g., playbooks, guidelines, knowledge bases).
  • Strong programming skills in Python; experience building APIs and microservices.
  • Experience working cross-functionally with data science, platform, and business teams in a large enterprise environment.
  • Experience implementing guardrails for AI systems (e.g., output validation, grounding, content filtering, and hallucination mitigation) to govern responses and protect user trust.
  • Strong verbal and written communication skills and the ability to operate with autonomy and ownership.
Responsibilities:
  • Lead the design, development, and deployment of the AI orchestration layer for Brand Growth Systems, enabling automated and intelligent insight generation.
  • Build the orchestration layer across three core capability sources: Snowflake Semantic Views, deployed ML models, and unstructured documents.
  • Partner with Business teams, the Gen AI COE, Data Science, ML, and Snowflake Platform teams to translate business needs into robust, scalable AI engineering solutions.
  • Architect and implement agentic AI workflows advancing capabilities from proactive insights toward agentic and ultimately autonomous systems.
  • Integrate LLM-based components, ML models, and data pipelines into cohesive, production-ready services on Azure.
  • Establish engineering best practices for AI solution development, including evaluation, monitoring, observability, security, guardrails, and responsible AI standards.
  • Implement guardrails around AI-generated responses including grounding, output validation, and content safety controls to govern response quality and protect user trust.
  • Provide senior-level technical guidance and mentorship to engineers and cross-functional partners.
  • Drive rapid prototyping and iteration while maintaining a clear path to production and enterprise-grade quality.
  • Communicate architecture decisions, trade-offs, and progress clearly to both technical and business stakeholders.
  •  
  • Nice to Have:
  • Experience with RAG pipelines, vector databases, and prompt/agent evaluation frameworks.
  • Familiarity with CPG, retail, or consumer insights/brand analytics domains.
  • Experience establishing responsible AI, governance, and security practices for enterprise AI systems.
  • Background in scaling AI capabilities within a Center of Excellence or platform team model.
  • Experience working with globally matrixed teams.
Skills:
  • AI Engineering.
  • Machine Learning.
  • Generative AI.
  • Azure OpenAI.
  • Azure ML.
  • Azure Functions.
  • AKS.
  • Snowflake.
  • Cortex Analyst.
  • Python.
  • LangChain.
  • LangGraph.
  • Semantic Kernel.
  • AutoGen.
  • MLOps.
  • LLMOps.
  • RAG.
  • APIs.
  • Microservices.
 

Benefits
 
Our Benefits Include:
  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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