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Remote Machine Learning Government Jobs in Peekskill, NY

Quorum

Senior Financial Analyst - REMOTE

Dobbs Ferry, NY · On-site +1

$89K - $111K/yr

As a remote organization, we thrive on collaboration and recognize outstanding performance. We are ... Identify opportunities to integrate automation, machine learning models, or data visualization ...

Talkiatry

Psychiatrist (Remote)

Newburgh, NY · Remote

$325K - $375K/yr

Comfort with learning streamlined clinical technology * Strong clinical judgement, communication ... E-Verify Talkiatry participates in E-Verify and will provide the federal government with your Form ...

Talkiatry

Psychiatrist (Remote)

Stamford, CT · Remote

$325K - $375K/yr

Comfort with learning streamlined clinical technology * Strong clinical judgement, communication ... E-Verify Talkiatry participates in E-Verify and will provide the federal government with your Form ...

Talkiatry

Psychiatrist (Remote)

Kiryas Joel, NY · Remote

$325K - $375K/yr

Comfort with learning streamlined clinical technology * Strong clinical judgement, communication ... E-Verify Talkiatry participates in E-Verify and will provide the federal government with your Form ...

Talkiatry

Psychiatrist (Remote)

Danbury, CT · Remote

$325K - $375K/yr

Comfort with learning streamlined clinical technology * Strong clinical judgement, communication ... E-Verify Talkiatry participates in E-Verify and will provide the federal government with your Form ...

Talkiatry

Psychiatrist (Remote)

Kiryas Joel, NY · Remote

$325K - $375K/yr

Comfort with learning streamlined clinical technology * Strong clinical judgement, communication ... E-Verify Talkiatry participates in E-Verify and will provide the federal government with your Form ...

Talkiatry

Psychiatrist (Remote)

Newburgh, NY · Remote

$325K - $375K/yr

Comfort with learning streamlined clinical technology * Strong clinical judgement, communication ... E-Verify Talkiatry participates in E-Verify and will provide the federal government with your Form ...

Talkiatry

Psychiatrist (Remote)

Danbury, CT · Remote

$325K - $375K/yr

Comfort with learning streamlined clinical technology * Strong clinical judgement, communication ... E-Verify Talkiatry participates in E-Verify and will provide the federal government with your Form ...

Talkiatry

Psychiatrist (Remote)

Stamford, CT · Remote

$325K - $375K/yr

Comfort with learning streamlined clinical technology * Strong clinical judgement, communication ... E-Verify Talkiatry participates in E-Verify and will provide the federal government with your Form ...

Accenture

SAP Solution Architect - Mid Market

Carmel, NY · Remote

$82.75 - $111.50/hr

Remote We Are: Accenture's Commercial Client Success organization helps clients realize measurable ... Knowledge of SAP Joule, SAP AI Foundation, Machine Learning, Generative AI, Agile, and DevOps. * ...

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All JobsMachine Learning Government JobsRemote Machine Learning Government JobsRemote Machine Learning Government Jobs in Peekskill, NY

Remote Machine Learning Government information

See Peekskill, NY salary details

$26.6K

$44.5K

$92K

How much do remote machine learning government jobs pay per year?

As of Jul 30, 2026, the average yearly pay for remote machine learning government in Peekskill, NY is $44,498.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,000.00 and $48,100.00 per year, depending on experience, location, and employer.
What cities near Peekskill, NY are hiring for Remote Machine Learning Government jobs? Cities near Peekskill, NY with the most Remote Machine Learning Government job openings:
Remote Machine Learning Government jobs near you

Sr. Lead Machine Learning Engineer/Remote

Apetan Consulting llc

Paterson, NJ • Remote

$80 - $150/hr

Contractor

Re-posted 13 days ago

Job description

Sr. Lead Machine Learning EngineerLocation-RemoteJob Summary

The Sr. Lead Machine Learning Engineer is responsible for leading the design, development, deployment, and optimization of machine learning solutions that drive business value. This role combines technical expertise, strategic leadership, and cross-functional collaboration to build scalable AI/ML systems, mentor engineering teams, and guide the organization's machine learning initiatives.

Key Responsibilities
  • Lead the development and deployment of machine learning models and AI-driven solutions.
  • Design scalable ML architectures, pipelines, and production-ready systems.
  • Collaborate with data scientists, software engineers, product managers, and business stakeholders to define and deliver ML solutions.
  • Oversee data preparation, feature engineering, model training, evaluation, and monitoring processes.
  • Optimize model performance, scalability, reliability, and operational efficiency.
  • Establish best practices for MLOps, model governance, testing, and deployment.
  • Conduct code reviews and provide technical leadership and mentorship to engineering teams.
  • Evaluate emerging AI/ML technologies and recommend innovative solutions.
  • Ensure compliance with security, privacy, and responsible AI standards.
  • Support production systems by troubleshooting and resolving complex ML-related issues.
  • Drive technical roadmaps and contribute to strategic AI initiatives.
Required Qualifications
  • Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
  • 8+ years of software engineering experience, including 5+ years in machine learning engineering.
  • Strong proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience building and deploying machine learning models in production environments.
  • Strong knowledge of data structures, algorithms, statistics, and machine learning techniques.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Knowledge of MLOps tools, CI/CD pipelines, and model monitoring practices.
  • Excellent leadership, communication, and problem-solving skills.
Preferred Qualifications
  • Master’s degree or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  • Experience with large-scale distributed systems and big data technologies.
  • Knowledge of Generative AI, Large Language Models (LLMs), NLP, computer vision, or recommendation systems.
  • Experience with Kubernetes, Docker, and cloud-native architectures.
  • Prior experience leading technical teams and enterprise AI initiatives.