Senior Embedded Machine Learning Jobs in Latham, NY

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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
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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.