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Machine Learning Jobs in Schenectady, NY (NOW HIRING)

Perform machine and deep learning models: neural network model, text classification using LSTM and CNN * Computer visioning modeling using Azure ML * Keras, Python and Torch libraries * Track and ...

Machine Learning or AI model development experience. * Experience with Looker reporting and LookML. * Experience designing and deploying cloud-native applications. * Familiarity with Agile ...

Director - Enterprise Resource Planning

Latham, NY · On-site

$64.50 - $84.25/hr

Working knowledge of SAP analytics tools and emerging technologies, including AI, IoT, and machine learning. Leadership Skills : * Demonstrated ability to lead, develop, and motivate cross-functional ...

Data Engineer

Albany, NY · Hybrid

$100K - $110K/yr

Interaction with stakeholders such as data governance workgroups, machine learning engineers, integration data pipeline builders, and BI developers is a key aspect of the role. The role involves ...

A strong understanding of machine learning concepts (model selection, training, validation, testing, and deployment) and hands-on programming experience in Python or C++ to effectively interface with ...

A strong understanding of machine learning concepts (model selection, training, validation, testing, and deployment) and hands-on programming experience in Python or C++ to effectively interface with ...

Data Engineer

Albany, NY · On-site

$100K - $110K/yr

Interaction with stakeholders such as data governance workgroups, machine learning engineers, integration data pipeline builders, and BI developers is a key aspect of the role. The role involves ...

Technical Leader of AI

Clifton Park, NY · On-site

$140K - $215K/yr

Lead commercial and government funded research and development programs with an emphasis on Artificial Intelligence, Machine Learning and Computer Vision, in collaboration with preeminent researchers ...

Showing results 41-60

Machine Learning information

See Schenectady, NY salary details

$24.7K

$41.2K

$85.1K

How much do machine learning jobs pay per year?

As of Aug 6, 2026, the average yearly pay for machine learning in Schenectady, NY is $41,201.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,400.00 and $44,500.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are the most commonly searched types of Machine Learning jobs in Schenectady, NY? The most popular types of Machine Learning jobs in Schenectady, NY are:
What are popular job titles related to Machine Learning jobs in Schenectady, NY? For Machine Learning jobs in Schenectady, NY, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Schenectady, NY look for? The top searched job categories for Machine Learning jobs in Schenectady, NY are:
What cities near Schenectady, NY are hiring for Machine Learning jobs? Cities near Schenectady, NY with the most Machine Learning job openings:
Infographic showing various Machine Learning job openings in Schenectady, NY as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $41,201 per year, or $19.8 per hour.

Director/Sr. Director, Forward Deployed Engineering

KPMG

Albany, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago


Job description

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.
KPMG is currently seeking a Director/Sr. Director, Forward Deployed Engineering to join our AI & Data Labs practice.
Responsibilities:
  • Lead a pod of elite, AI-native full-stack engineers with a bias to action to rapidly build and deploy end-to-end AI systems, owning the full arc from problem framing to MVP to deployed workflow; define and own the end-to-end technical vision and architecture for the team's solutions, understanding that a running system beats the cleanest architecture diagram; provide input with leadership into broader FDE program strategy
  • Champion production discipline for enterprise by establishing and enforcing best practices in context engineering, evaluation, and operational readiness; mandate rigorous testing, including golden sets, regression harnesses, and red-teaming, and set the standard for secure, observable, and auditable code
  • Drive delivery in a fast-paced, outcome-accountable environment, operating in two-to-six-week cycles with direct user and stakeholder feedback; guide working sessions, build trust by transparently communicating risks and progress, manage risks, surface constraints early, and ensure every deliverable is ready for scale or run in production
  • Provide hands-on leadership and mentorship to a team of engineers, coaching them through complex challenges while actively contributing to the build; foster a culture of high talent density where every member raises the bar and enable them to deliver quality at speed
  • Lead working sessions and facilitate collaboration across stakeholders (from engineers to the C-suite) and cross-functional teams to design creative AI systems where success is measured by tangible, quantified outcomes and effective adoption
  • Advocate for the use of modern development accelerators (Claude Code, Lovable, Cursor, and more) where policy permits, to increase capacity of delivery, increase quality, and deliver faster
  • Act with integrity and professionalism to uphold KPMG's respectful and courteous work environment

Additional Responsibility for Senior Director: Oversee and mentor high-performing technical teams; execute role with the required experience and passion for working directly with stakeholders to make an outsized impact
Qualifications:
  • Minimum ten years of recent experience shipping end-to-end production secure software systems, with a focus on data, machine learning, and AI-native applications; solid experience with cloud platforms (Azure, GCP, or AWS)
  • Bachelor's degree from an accredited college or university is required
  • Proven ability to lead, manage, and mentor high-performing technical teams, with at least five years of experience in a combination leadership and individual contributor role; experience and passion for working directly with stakeholders to make an outsized impact
  • Deep, hands-on knowledge of modern AI technologies and methodologies with demonstrated experience leading teams in designing and implementing advanced AI systems; this includes AI systems judgment, context engineering, evaluation discipline, full-stack capabilities, model strategy fluency
  • Excellent problem-solving, collaboration, and communication skills with the ability to thrive in ambiguous environments; this includes the presence to lead working sessions and drive decisions with impatient executives and skeptical engineers, a hands-on, accountable style that earns trust by "coaching while building", and the ability to communicate clearly and effectively to diverse audiences (CIO, CISO, CFO, engineers)
  • Candidates must be prepared to demonstrate their experience with real work via a portfolio, a GitHub repository, or a structured walk-through of a system they have designed and shipped
  • Domestic and global travel may be required
  • Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

Additional Qualification for Senior Director: Minimum fifteen years of recent experience in a hands-on leadership role as well as experience in shipping end-to-end production secure software systems, with a focus on data, machine learning, and AI-native applications; solid background with cloud platforms (Azure, GCP, or AWS)
KPMG LLP and its subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work .
Follow this link to obtain salary ranges by city outside of CA:
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=7971_9_26 California Salary Range: $198000 - $357000
KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.
KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.
Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.