Top 28 Machine learning engineer Jobs in Amsterdam, Ny

Deputy Chief Information Officer for Operations & Enterprise Systems, Information Technology Bureau - Latham, NY(ITB_DCIO/OES_6293)
State of New York - Attorney General, Office of the —Latham, NY
- $142,032 - $149,287 a year
- Full-time
- Background check
- 7 years
- Computer Science
- Health insurance
- Dental insurance
2h
Data Engineer
Excelsior University —Albany, NY
- $100,000 - $110,000 a year
- Full-time
- Remote
- Computer Science
- Research
- Office
Quick Apply
Research Engineer - Robotics and Autonomous Systems - Vernova Research
GE Vernova —Niskayuna, NY
- $89,300 - $148,700 a year
- Full-time
- 18 years or older
- Pass drug screening
- Office
- Paid parental leave
- Paid holidays
Lead Engineer - Robotics & Autonomous Systems
GE Vernova —Niskayuna, NY
- $98,400 - $164,000 a year
- Full-time
- 18 years or older
- Pass drug screening
- Office
- Paid parental leave
- Paid holidays
M&D Sensor Systems Engineer
GE Vernova —Schenectady, NY
- $98,400 - $164,000 a year
- Full-time
- Pass drug screening
- Mid-level
- Windows
- Paid parental leave
- Paid holidays
3D Computer Vision Researcher
Kitware —Clifton Park, NY
- $125,000 - $170,000 a year
- Full-time
- Computer Science
- C++
- Doctor of Philosophy
- Disability insurance
- Health insurance
Quick Apply
Control System Engineer
Naval Nuclear Laboratory —Niskayuna, NY
- $94,800 - $148,200 a year
- Full-time
- Doctoral degree
- Pass drug screening
- System design
- Wellness program
- Paid parental leave
Carrier Voice Engineer
FIRSTLIGHT —Albany, NY
- $75,000 - $95,000 a year
- Full-time
- 7 years
- SQL
- Analysis skills
Quick Apply
Controls Research Engineer - "CLEARANCE REQUIRED" - GE Vernova Advanced Research
GE Vernova —Niskayuna, NY
- $89,300 - $148,700 a year
- Full-time
- Doctoral degree
- Pass drug screening
- Office
- Paid parental leave
- Paid holidays
Research Engineer, Electric Power System
GE Vernova —Niskayuna, NY
- $89,300 - $148,700 a year
- Full-time
- 18 years or older
- Doctoral degree
- Pass drug screening
- Paid parental leave
- Paid holidays
Principal Engineer - Power Systems
GE Vernova —Niskayuna, NY
- $131,700 - $219,300 a year
- Full-time
- Doctoral degree
- Pass drug screening
- Office
- Paid parental leave
- Paid holidays
Google Agentic AI Delivery Senior Engineer
Logic —Albany, NY
- $87,400 - $266,300 a year
- Full-time
- Azure
- Computer Science
- 3 years
- Paid holidays
- Disability insurance
Lead Engineer – Electric Power Systems
GE Vernova —Niskayuna, NY
- $98,400 - $164,000 a year
- Full-time
- Doctoral degree
- Pass drug screening
- Office
- Paid parental leave
- Paid holidays
Senior Engineer - Electric Power Systems
GE Vernova —Niskayuna, NY
- $113,200 - $188,800 a year
- Full-time
- Doctoral degree
- Pass drug screening
- Office
- Paid parental leave
- Paid holidays
Analytics Engineer
S5 Stratos —United States
- Full-time
- Remote
- Background check
- Computer Science
- SQL
- Health insurance
- Dental insurance
Quick Apply
AI/ML Engineer
CGI Group, Inc. —United States
- $102,000 - $251,100 a year
- Azure
- Computer Science
- Office
- Paid parental leave
- Paid holidays

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Data Engineer
Excelsior University —Albany, NY
Bachelor's degree in computer science, information technology, systems engineering, database management, or related field.
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Contact Government Services, LLC —Albany, NY
Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design,…
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Field and respond to telephone calls and e-mails from customers, Sales Engineers, and Application Development Engineers. Evaluate and approve new raw materials.
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Deputy Chief Information Officer for Operations & Enterprise Systems, Information Technology Bureau - Latham, NY(ITB_DCIO/OES_6293)

State of New York - Attorney General, Office of the
Latham, NY

Apply Now

Job Details

Full-time
$142,032 - $149,287 a year
2 hours ago

Benefits

Health insurance
Dental insurance
Vision insurance
Retirement plan

Qualifications

AI models
Data model design
Data modeling projects
Legal risk management
Security classification
Managing IT teams
Family Educational Rights and Privacy Act (FERPA)
Public Cloud
AI platforms (beyond public GPTs)
Managing data teams
Information security compliance
GDPR compliance expertise
Machine intelligence
Bachelor's degree
Data classification
Requirements analysis
Project delivery management
Regulatory Frameworks (Architecture security)
Leading team collaboration initiatives
Access control classification
Managing projects
Machine learning (ML) fundamentals
Regulatory compliance analysis
Business requirements
Document management
Project stakeholder communication
Data security architecture
Cross-functional communication
Senior leadership
Stakeholder management

Full Job Description

Duties Description Administration Division
Information Technology Bureau—Latham (Albany-area)
Director of Enterprise Artificial Intelligence, Data, and Analytics
Reference No. ITB_LAT_DIR/AI_6454
Application Deadline is July 31, 2026*
Salary Range: $142,032-149,287
To be considered for this opportunity, submit a complete application online at ag.ny.gov/job-postings/other

Applications accepted on a rolling basis until position is filled. Application review to begin on July 31, 2026.

The Office of the New York State Attorney General’s (OAG) Information Technology Bureau (ITB) is seeking an experienced technology manager to serve as Director of Enterprise Artificial Intelligence, Data, and Analytics (Director), a senior leadership role. The Director serves as Section Chief for the recently created Enterprise AI, Data, and Analytics (AI-Data) section within ITB. The section is responsible for the comprehensive management, governance, and strategic direction of artificial intelligence (AI), data science, data analytics, and data management at OAG. The Director will oversee the design and implementation of AI and data strategies, ensuring AI-readiness, and promoting the effective use of data across OAG. Based in Latham, NY and reporting directly to the Chief Information Officer (CIO), the Director will lead a multidisciplinary team focused on data architecture, AI, and data-driven solutions, and oversee the implementation of data and records governance practices, including the management of sensitive and classified data in compliance with legal and regulatory requirements.

Duties:
Data and AI Strategy and Governance:

In coordination with key bureaus and personnel, develop and execute a strategic roadmap for AI, data science, and analytics that aligns with department and OAG priorities.
Establish and maintain AI and data governance frameworks, ensuring data quality, security, and compliance with state and federal laws.
Lead the creation and enforcement of best practices for data management, AI, and analytics across the organization.
Ensure adherence to privacy and data protection laws, with a focus on secure management and handling of sensitive data.

AI-Readiness, Solution Evaluation, and Recommendations:

Evaluate current data capabilities and prepare the department for AI adoption by assessing AI-readiness, identifying gaps, and proposing necessary infrastructure improvements.
Conduct assessments and recommend AI tools, training, and solutions to enhance decision-making, automation, compliance, and operational efficiency within the law department.
Provide leadership in identifying AI-driven opportunities to optimize case management, legal analytics, predictive insights, and administrative tasks.

Data Science and Advanced Analytics:

Lead and manage data science teams to build advanced analytical models, predictive algorithms, and machine learning applications that support legal operations and decision-making.
Oversee the development and implementation of analytics platforms that enable data-driven insights for department leaders and other stakeholders.
Foster innovation in AI and data science, promoting the adoption of emerging techniques such as natural language processing (NLP) for legal text analysis or sentiment analysis for case review.

Content/Records Management and Data Classification:

Develop and implement comprehensive content and records management strategies to ensure the proper organization, retention, and destruction of records in compliance with legal and regulatory requirements.
Establish data classification frameworks, ensuring that all data is properly classified according to sensitivity levels and handled accordingly (e.g., public, confidential, restricted, etc.).
Oversee the management of sensitive legal and case-related data, ensuring compliance with government regulations for the protection of sensitive and classified information.
Work closely with legal and compliance teams to ensure that data retention schedules and classification policies are adhered to throughout the department.

AI Infrastructure and Data Architecture:

Design, build, and oversee the implementation of a scalable, secure, and efficient data architecture capable of supporting AI and data science initiatives.
Collaborate with various teams to ensure that infrastructure (cloud, on-premises, hybrid) is optimized for performance, scalability, and AI workloads.
Lead the development of data pipelines, ensuring seamless integration across systems and real-time data processing capabilities.
Ensure architecture supports both structured and unstructured data sources, including legal documents, case files, and external databases.

Team Leadership, Mentorship, and Development:

Lead, manage, and mentor a cross-functional team of AI experts, data scientists, data engineers, analysts, and content/records management professionals.
Foster a collaborative and innovative culture that encourages continuous learning, knowledge sharing, and professional growth.
Manage performance, development, and resource allocation, ensuring that projects are completed on time, within budget, and aligned with strategic objectives.

Cross-Department Collaboration and Stakeholder Management:

Collaborate with senior department leaders, legal teams, compliance officers, and external stakeholders to identify opportunities for AI and data-driven innovation.
Serve as the primary point of contact for all AI and data governance issues, providing recommendations on data usage, access, and integration across systems.
Communicate complex AI and data strategies to non-technical stakeholders, ensuring buy-in and alignment with department goals.

Continuous Improvement, Risk Management, and Compliance:

Stay current with developments in AI, data science, legal tech, and records management practices, identifying opportunities for ITB to leverage new technologies and approaches.
Ensure compliance with federal, state, and local regulations regarding data privacy (e.g., GDPR, CCPA), AI ethics, and records management.
Identify and mitigate risks associated with AI and data governance, including potential legal, ethical, and operational risks.
Regularly evaluate and report on AI and data initiatives’ performance and impact, adjusting strategies to meet evolving department needs.

Minimum Qualifications Qualifications:

A bachelor’s degree in Data Science, Computer Science, Information Technology, or a related field.
A master’s degree in a relevant field (e.g., Data Science, Business Analytics, Information Systems) is preferred.
At least seven (7) years of experience in enterprise data architecture, data science, and analytics, including at least five (5) years in a leadership or managerial role.
Extensive experience in content and records management, data classification, and governance, particularly within regulated environments.
Proven track record of leading complex data initiatives in the public and/or legal sector.
In-depth knowledge of data privacy, security standards, and records management regulations (e.g., FOIA, FERPA, HIPAA).
Strong background in AI, machine learning, data modeling, data architecture, and big data technologies (e.g. Data Lakes, Warehouse, etc.) in cloud and on-premise environments in government specific environments.
Up-to-date familiarity with numerous AI LLM’s, agentic and embedded AI enterprise solutions including Microsoft365 Copilot GCC and legal research AI platforms.
Demonstrated leadership and people management experience, including the ability to build and lead cross-functional teams, manage resources, and cultivate a high-performance work environment in a matrix and shared governance model.
Expertise in AI/ML algorithms, data analytics platforms, and emerging data science techniques.
Deep understanding of data governance frameworks, including records management, data classification, and data sensitivity management.
Ability to translate business requirements into actionable AI/data science strategies while managing risk and compliance.
Ability to communicate technical concepts and data-driven insights to both technical and non-technical stakeholders.
Understanding of AI ethics, data privacy laws, and regulatory requirements relevant to public-sector and legal data management.
Availability for periodic travel within New York State and elsewhere in the United States for conferences and meetings is required.

Preferred Skills and Experience:

AI/data science certifications (e.g., AWS Certified Machine Learning, TensorFlow).
Certified Records Manager (CRM) or similar certifications in records management.
Data governance or compliance-related certifications (e.g., CDMP, CIPP).

Additional Comments The salary range for this position is $142,032-149,287. The final salary will be set after a complete evaluation of the selected candidate’s qualifications. As an employee of OAG, you will join a team of dedicated individuals who work to serve the people of our state through a wide variety of occupations. We offer a comprehensive New York state benefits package, including paid leave, health, dental, vision, and retirement benefits, and family-friendly policies. Additionally, OAG offers a robust Workplace Flexibilities Program with multiple options for employees, including telecommuting (up to two days per week) and alternative work schedules.

Candidates from diverse backgrounds are encouraged to apply. The OAG is an equal opportunity employer and is committed to workplace diversity.

Some positions may require additional credentials or a background check to verify your identity.

Apply Now

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machine learning engineer jobs in amsterdam, ny

Deputy Chief Information Officer for Operations & Enterprise Systems, Information Technology Bureau - Latham, NY(ITB_DCIO/OES_6293)

Data Engineer

Research Engineer - Robotics and Autonomous Systems - Vernova Research

Lead Engineer - Robotics & Autonomous Systems

M&D Sensor Systems Engineer

3D Computer Vision Researcher

Control System Engineer

Carrier Voice Engineer

Controls Research Engineer - "CLEARANCE REQUIRED" - GE Vernova Advanced Research

Research Engineer, Electric Power System

Principal Engineer - Power Systems

Google Agentic AI Delivery Senior Engineer

Lead Engineer – Electric Power Systems

Senior Engineer - Electric Power Systems

Analytics Engineer

AI/ML Engineer

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