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This Jobot Job is hosted by: Ryan Weingardt Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $85,000 - $115,000 per year A bit about us: A century-old, privately held contract manufacturer specializing in medical device components and assemblies. Headquartered in Butler, Wisconsin, it operates additional facilities in Hudson, New Hampshire, and Largo, Florida. The company is renowned for its expertise in silicone molding, thermoplastics, and multi-material molding, serving some of the world's largest medical device companies. Their capabilities encompass design assistance, development, manufacturing, and finished device assembly, all conducted within ISO-certified cleanroom environments Why join us? The company offers a competitive compensation package, including health, dental, and vision insurance, life and disability benefits, a 401(k) plan, and quarterly profit-sharing bonuses. They emphasize employee development through mentoring, continuing education, and exposure to the latest technological advances in the medical device field. Job Details Position Summary: The Process Engineer will play a critical role in supporting and optimizing the company’s molding operations. Based at the Brookfield, WI headquarters, this position will focus on a variety of molding technologies including injection molding, compression/transfer molding, liquid silicone rubber (LSR), thermoplastics, and high-consistency rubber (HCR). The ideal candidate will apply scientific molding principles to improve process reliability and performance, support mold qualifications, and lead continuous improvement initiatives. Key Responsibilities: • Develop, implement, and optimize molding processes using scientific molding techniques., • Perform initial mold setups and troubleshoot tooling and process issues., • Collaborate with cross-functional teams to support new product introductions and mold validations., • Analyze process data to identify trends and implement corrective actions., • Train and mentor process technicians and production staff on best practices and process controls., • Minimum of 5 years of hands-on experience in molding process engineering, preferably in a medical device manufacturing environment., • In-depth knowledge of injection molding, LSR, thermoplastics, and HCR processes., • Experience with scientific molding methodologies and DOE (Design of Experiments) is strongly preferred., • Technical degree in engineering or a related discipline is preferred., • Strong problem-solving skills, attention to detail, and a commitment to continuous improvement. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Multiple Bonuses + 401(k) Match + 100% Health Insurance Premium Coverage This Jobot Job is hosted by: Katie Griffith Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $130,000 - $200,000 per year A bit about us: We are an oil & gas firm located in Fort Worth. Why join us? • Competitive Compensation, • Multiple Bonus Opportunities, • 100% Health Insurance Premium Coverage, • 401(k) Match Job Details We are currently seeking an Oil & Gas Title Attorney to join our talented legal team. The successful candidate will have a minimum of 2 years' experience drafting title opinions for lands in Texas, Bakken, Oklahoma, and/or New Mexico. This is an onsite position in Fort Worth. Responsibilities: • Provide legal advice and support on a broad range of oil and gas matters, including exploration, production, transportation, and sales., • Draft title opinions highlighting defects, liens, or other issues that could impact ownership or use of the property., • Analyze documents such as leases, contracts, and deeds., • Advise on compliance with relevant laws, regulations, and industry standards., • Represent the company in legal proceedings, including litigation and arbitration., • Collaborate with other departments to identify legal risks and develop risk management strategies., • Stay up-to-date with developments in oil and gas law and industry trends., • Juris Doctorate from an accredited law school., • Admitted to practice law in at least one state., • 2+ years of experience in oil & gas title examination experience., • Will consider experience outside of Texas, particularly Bakken, Oklahoma, and New Mexico., • Experience negotiating and drafting oil & gas agreements. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Electrical Engineer PE (Mission Critical) - NYC/Hybrid This Jobot Job is hosted by: Tony Barhoum Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $105,000 - $165,000 per year A bit about us: Award-Winning Engineering Consulting Firm specializing in Design/Build Mission Critical Projects, Hyperscale Data Centers, and Healthcare Facilities. For over 40 years we’ve built a team of innovative Engineers & Architects devoted to principles of design excellence and exceptional service. Our leadership remains actively involved in every project, guiding planning, design, management, and implementation. Over the years, our practice has expanded to include a diverse, multidisciplinary staff with expertise across a wide range of project types. This blend of technical depth and industry diversity enables an innovative, holistic approach to each engagement. With experience spanning Mission Critical Facilities, Data Center, Healthcare, and Research & Technology, we are constantly evolving with the latest advancements to deliver forward-thinking solutions and a strong commitment to client services. Why join us? We can offer you the opportunity to work on State-of-the-Art Projects including Hyper Scale Data Centers • Competitive Base Salary, • Competitive Bonus, • 401K Matching Contribution Benefits Package, • Comprehensive Benefits Package (Health/Dental/Vision), • Accelerated Career Growth & Professional Development, • Flexible Work Schedule and Paid Time Off Job Details Electrical Engineer EIT/PE Healthcare / Data Centers)- NYC (Hybrid/Remote) We are seeking an Electrical Engineer with 5-10 years of specialized experience performing short circuit, protective device coordination, and arc flash studies using SKM Power Tools. Projects include Data Centers, Critical Infrastructure Buildings, and Mission Critical Healthcare Facilities. Qualifications: • Bachelor’s Degree in Electrical Engineering from an ABET-accredited college or university., • 5-10+ years of experience designing power systems for mission critical projects, data centers, or healthcare facilities., • Advanced proficiency with SKM Power Tools (DAPPER, CAPTOR, Arc Flash)., • Strong understanding of NEC, NFPA 70E, IEEE 1584., • Experience with UPS systems, generator paralleling, STS/ATS equipment, and redundant distribution architectures., • PE or EIT preferred, Not Required, • Demonstrated experience designing electrical power systems on technically complex projects., • Proficient in design software such as Revit, AutoCAD, and related tools., • Strong understanding of all A/E design disciplines and cross-disciplinary project coordination., • Ability to effectively communicate and interface with architects, clients, engineers, and trade personnel., • Skilled in presenting design options and technical recommendations to clients and internal teams., • Detail-oriented with strong time-management and budgeting skills to meet project schedules and deliverables., • Proven ability to work productively within a team environment on multiple design and construction projects., • Field experience with a solid understanding of construction methods, systems, and best practices., • Design electrical power systems for mission critical environments, data centers, and healthcare facilities., • Develop and maintain detailed electrical system models of Medium Voltage and Low Voltage distribution system in SKM, consisting of UPS systems, generators, paralleling gear, PDUs, RPPs, and dual fed distribution., • Perform short circuit studies to verify equipment withstand ratings and identify overstressed equipment., • Develop protective device coordination studies., • Conduct arc flash hazard analyses and prepare arc flash labels aligned with NFPA 70E, IEEE 1584, and owner specific safety programs., • Evaluate system behavior under normal, emergency, and maintenance operating modes., • Prepare detailed engineering reports with clear recommendations for mitigation, labeling, and operational safety., • Review one line diagrams, equipment submittals, and as built documentation to ensure accurate system modeling., • Collaborate with design engineers, commissioning teams, and facility operators to gather data and validate study assumptions and maintain up-to-date SKM model and reports.., • Provide technical guidance during design, commissioning, and troubleshooting of power distribution systems in live or planned data center environments., • Full-time position with a comprehensive benefits package., • Highly competitive compensation including base salary and annual performance bonus., • Excellent opportunity for career advancement within a growing mission-critical engineering team. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Medical Device Leader! Principal Quality Engineer Opportunity! This Jobot Consulting Job is hosted by: David DeCristofaro Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $65 - $85 per hour A bit about us: We are a leading medical device company that operates privately and is committed to enhancing the care and quality of life of patients with kidney disease. Our goal is to create cutting-edge solutions that enable patients and their healthcare providers to manage kidney disease with ease. Why join us? • Company Equity!, • Excellent medical, dental, & vision package!, • 401(k) with a match!, • Generous PTO!, • Opportunity to make a difference in people's lives! Job Details We are seeking a dynamic and experienced Principal Quality Engineer to join our team. This role will be responsible for leading the quality engineering initiatives ensuring ongoing safety, efficacy, and compliance of medical devices as they enter the market. The ideal candidate will have a strong background in quality engineering within the Medical Device industry, with a focus on FDA regulations, ISO 13485, CAPA, and other regulatory and compliance requirements. Responsibilities: 1. Lead the development and implementation of quality systems in compliance with FDA and ISO 13485 regulations., 2. Analyze and manage Corrective and Preventive Actions (CAPA) to ensure effective resolution of quality issues., 3. Utilize problem-solving methodologies such as Fishbone or DMAIC to identify root causes and implement corrective actions., 4. Maintain the FDA Quality Management System Reporting (QMSR) and ensure that all quality metrics are met or exceeded., 5. Provide consultation to various departments on quality systems, regulatory compliance, and risk management., 6. Conduct internal and external audits to ensure compliance with regulatory standards., 7. Lead and oversee post-market surveillance programs., 8. Collaborate with cross-functional teams to drive continuous improvement initiatives., 9. Lead the review and approval of design and process changes, ensuring compliance with quality standards and regulatory requirements. Qualifications: 1. Bachelor's degree in Engineering, Quality Assurance, or a related field is required., 2. Minimum of 12 years of experience in a quality engineering role with strong medical device industry experience., 3. Extensive knowledge of FDA regulations, ISO 13485, Fishbone, DMAIC, 8D, and/or FDA QMSR., 4. Expertise in post-market quality system activities including complaint handling, vigilance/adverse event reporting, HHE, and post-market surveillance., 5. Conduct and lead complex investigations and implement CAPA., 6. Certified Quality Engineer (CQE) or Certified Quality Auditor (CQA) is preferred. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Established company, that is innovating the preventive healthcare space seeks a Principal Software Architect with expertise in event-driven, service-oriented systems! This Jobot Job is hosted by: Rachel Hilton Berry Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $175,000 - $225,000 per year A bit about us: We are seeking a highly skilled and passionate Principal Software Engineer to join our dynamic team in the healthcare industry. This is an excellent opportunity to make a significant impact in a fast-growing, innovative company that is committed to improving patient care through technology. As a Principal Architect, you will be responsible for leading, building, and maintaining cloud and web applications that are critical to our operations and patient care. You will work closely with a team of developers, designers, and product managers to deliver high-quality software solutions that meet our business needs. Why join us? • Innovative health screening company., • Looking to innovative with AI., • Stable company with 25+ years in the making., • Remote work. Job Details We’re looking for someone with conviction—clear technical vision, confident decision-making, and the ability to inspire teams toward bold, forward-thinking solutions. You thrive in ambiguity, take initiative, and bring creative solutions to complex challenges. You’re resourceful, collaborative, energized by change and thrive in a culture built on agility, experimentation, and big ideas. Responsibilities: • Define and drive backend architecture using patterns such as event-sourced systems, event stores, and domain-driven design to ensure traceability, modularity, and scalability., • Architect event-driven systems using Amazon EventBridge to enable decoupled service communication and real-time responsiveness across distributed applications., • Lead AWS cloud engineering from design through delivery, aligning infrastructure with product and business needs., • 10+ years of software development experience, including 5+ years in senior technical leadership roles, • Proven success architecting and developing backend systems for high-volume, distributed applications, • Deep expertise in AWS cloud architecture, including hands-on experience with AWS CDK, serverless design, and cloud-native patterns, • Experience designing and implementing event-sourced systems and event stores for traceability and auditability, • Strong background in CI/CD pipelines, Infrastructure as Code, and DevOps best practices, • Proficiency in JavaScript/TypeScript, Node.js, React, and GraphQL, • Familiarity with Apollo Federation, domain-driven design and modular front-end architectures, • Hands-on experience with observability tools such as AWS CloudWatch and AWS X-Ray, with a focus on reliability and incident response, • Demonstrated ability to mentor engineers, lead cross-functional initiatives, and drive technical strategy, • Strong communication and stakeholder management skills, • Advocacy for AI-assisted engineering practices, driving adoption and responsible integration, • Experience in startup or high-growth tech environments preferred Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Join the fastest growing Data engineering solutions company! This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $220,000 per year A bit about us: This is one of Jobot's best clients, and a company that has been growing by over 100% year over year for the last 7 years. They are continuing to grow! This company is focused on offering top tier consulting services to enterprise companies that are trying to better utilize their data. Why join us? Join us for the variety of work, the opportunity to interface with some of the top companies in the world, and ability to build creative solutions to challenging problems. Job Details Must be a talented data engineer! Ideally you come from some soft of consulting or client facing background, this may include internal customers! Hands on engineering experience a must. This includes the following: 1. Snowflake or Databricks engineering, 2. Deep understanding of AWS or Azure or GCP, 3. Code bases written in Python, Scala and or Java, 4. Most important? Clear and concise communication skills, you must be able to sit in front of a client, and be engaging, and speak with non-technical stakeholders. This company will not be able to sponsor or transfer visas. If interested, please apply, or feel free to message directly. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role. Why join us? • Competitive Base Salary, • Company paid health plan for employees, • Flexible Hours, • Very generous PTO, • Dental and Vision, FSA, HSA, • Small team, autonomy, • Many more great perks! Job Details Responsibilities: • Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation)., • Ensure the robustness, scalability, and enterprise-level security of solutions., • Collaborate with the data science team to transform prototypes into new products, services, and features., • Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation., • Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity., • Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data., • Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices., • Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree or PhD will be a plus., • Minimum of 6 years of experience as a Machine Learning Engineer or similar role., • Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting., • Proven experience in designing and implementing machine learning solutions at scale on AWS., • Solid experience in software development with a focus on quality, performance, and scalability., • Proven ability to design and implement robust data pipelines., • Strong experience with data modeling, data access, and data storage techniques., • Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders., • Strong problem-solving skills, attention to detail, and ability to think creatively., • Ability to work independently and as part of a team in a fast-paced, dynamic environment., • Strong passion for learning and adapting to new technologies., • AWS Certified Machine Learning or similar certification will be a plus. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Top Tier Mechanical Contractor Seeks Experienced Mechanical Engineer, Top End Compensation Package, Large Projects This Jobot Job is hosted by: Ross Theel Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $90,000 - $135,000 per year A bit about us: Our client is a leading mechanical contracting firm specializing in innovative HVAC, plumbing, and piping systems for commercial and industrial projects. With decades of industry experience, this company delivers design-build and plan-spec solutions tailored to meet each client’s unique needs. Their team is composed of highly skilled professionals dedicated to quality craftsmanship, cutting-edge technology, and delivering excellence from project concept to completion. This company takes pride in its collaborative approach, partnering with general contractors, owners, and design teams to bring complex building systems to life in sectors such as healthcare, education, commercial, and data centers. Please apply today to be considered within 24 hours! Why join us? At this company, you’ll be part of a forward-thinking team that values integrity, innovation, and continuous improvement. Employees enjoy a supportive culture that encourages professional growth, leadership development, and cross-functional collaboration. What sets this opportunity apart: Exposure to a wide variety of high-profile and technically challenging projects A culture that prioritizes safety, teamwork, and work-life balance Opportunities for ongoing training and career advancement Competitive compensation and a comprehensive benefits package A commitment to sustainability and emerging mechanical technologies Job Details Education & Experience: Bachelor’s degree in Mechanical Engineering or a related field 2+ years of experience in mechanical systems design, HVAC, or related construction environments (internship experience may be considered) EIT certification or Professional Engineer (PE) license preferred but not required Technical Skills: Proficiency in AutoCAD, Revit, and other industry-standard design software Knowledge of mechanical codes, industry standards, and energy efficiency practices Strong understanding of HVAC, plumbing, and piping systems and their applications in commercial construction Soft Skills: Excellent communication and interpersonal skills Ability to work independently and as part of a multidisciplinary team Strong organizational skills and attention to detail Problem-solving mindset with the ability to adapt in fast-paced environments Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

This Jobot Job is hosted by: Amanda Preston Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $200,000 per year A bit about us: Diversified global enterprise operating at the intersection of media, information services, and technology. With a long-standing history of innovation and reinvention, we support a broad portfolio of businesses spanning digital media, financial services, healthcare, data analytics, and software-driven platforms. Why join us? This is a chance to build the future of automation at enterprise scale. You won’t be maintaining legacy processes—you’ll be designing how systems integrate, how data flows in real time, and how AI-driven automation transforms IT operations. You’ll have the autonomy to shape the roadmap, deliver visible wins quickly, and influence how a large organization modernizes asset management and governance. If you’re a hands-on engineer ready to step into automation and AI leadership, this role offers real ownership, meaningful impact, and the opportunity to leave behind systems that are smarter, faster, and built to last. Job Details Director, Asset Automation & Systems Integration Job Description About the Role We are seeking a forward-thinking and highly technical Director of Asset Automation & Systems Integration to lead the transformation of enterprise asset management capabilities. This role goes far beyond traditional IT asset management. It is focused on building the foundation for a fully automated, AI-enabled future where disparate systems integrate seamlessly, data flows automatically, and manual reconciliations are eliminated. The ideal candidate is a hands-on technologist with proven experience in systems integration, automation, and modern infrastructure engineering. This role manages a small, established asset management team, but the primary focus is on designing and delivering next-generation solutions: connecting critical data sources to the CMDB, developing live integrations, enabling AI-driven automation, and shaping the long-term roadmap for automation and digital workforce capabilities. This is a rare opportunity to build the future of IT operations at scale and is well suited for an engineer with an identity, cloud, or network background who is ready to expand into AI and automation leadership. Key Responsibilities Systems Integration & Automation Design, build, and maintain integrations between CMDB platforms, identity systems, security tools, cloud services, and network portals. Evaluate failed or inefficient integrations, conduct retrospectives, and recommend scalable, sustainable solutions. Create and execute a technical roadmap to achieve live, automated data flows across the enterprise. AI & Automation Roadmap Drive adoption of AI tools and autonomous agents to enhance IT operations. Partner with automation teams to leverage shared toolkits and establish best practices. Position the asset management function for a future where governance and operations are highly automated. Leadership & Stakeholder Management Manage and mentor a team of asset management professionals, guiding them toward higher-value, automation- and AI-driven work. Collaborate closely with infrastructure, identity, cloud, network, and security engineering leaders. Engage senior leadership, providing clear updates, recommendations, and strategic guidance on automation initiatives. Strategic Delivery Deliver near-term automation wins while building toward long-term AI-enabled capabilities. Collect, analyze, and synthesize input from engineering and security teams to ensure the CMDB contains meaningful, actionable, and trusted data. Own retrospectives on unsuccessful initiatives and propose cost-effective, technically sound alternatives. Qualifications Technical Expertise (any of the following) Identity Engineering: Experience with modern identity platforms such as SailPoint, Okta, or equivalent. Cloud Engineering: Azure, AWS, or Google Cloud with hands-on experience in integrations and automation. Network Engineering: Strong experience with network portals, device integrations, and providers (e.g., Cisco, Meraki, Palo Alto). Required Skills Proven experience designing and implementing integrations across enterprise systems. Deep technical understanding of automation concepts, APIs, and system interoperability. Strong knowledge of data normalization, deduplication, and synchronization. Ability to create and execute a technical roadmap. Curiosity and demonstrated aptitude for AI and emerging automation technologies. Preferred Qualifications Prior leadership or small-team management experience. Experience with ServiceNow CMDB or equivalent platforms. Strong business acumen, with the ability to balance cost, efficiency, and risk in technical decision-making. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. 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Title: AI Analytics Engineer Department: Analytics and Data Governance (ADG) Reports To: Director of Data Analytic Position Type: Staff Position Summary: The AI Analytics Engineer is responsible for the full lifecycle of data delivery, ranging from rapid-response (Level 1) data requests to deep data cleansing. In this role, you will convert raw institutional data into high-value "AI-ready" assets by engineering the semantic layers required for conversational interfaces and autonomous agents, ensuring these systems-whether purchased or built in-house-are accurately powered and correctly deployed. This role serves as a key technical advisor, making recommendations on whether to buy third-party tools or build custom solutions based on the specific requirements of the data and the desired AI interaction. As a central technical resource within a tiered data team, you will operationalize the data requirements designed by the Senior Data Scientist/AI Engineer while ensuring strict adherence to the institutional security frameworks and governance standards established by the Data Governance Lead. Essential Functions: -Works as a central technical resource within the Analytics and Data Governance team to ensure data integrity and model readiness. This includes: -Primary technical partner for the Senior Data Scientist and AI Engineer: Build and automate the data features and training sets required for predictive models, analytical tools, and AI models. Manage the technical relationship with AI vendors under the direction of the Director, ensuring appropriate deployment and integration of purchased tools. Actively evaluate and recommend "buy vs. build" strategies to ADG, identifying where purchased tools meet institutional needs and where unique data complexities require supplemental in-house engineering. -Operationalize governance standards established by the Data Governance Lead by applying approved data definitions, classification rules, access controls, and security requirements within transformation logic, semantic layers, and downstream data products. Maintain technical lineage and metadata needed to support compliant, governed, and reusable institutional data assets. -Serve as the primary technical liaison between the Office of Institutional Effectiveness, Business Intelligence, Integrations, and Digital Learning teams to ensure official reporting data and AI model outputs are seamlessly integrated into dashboards and applications, while documenting the transformation logic and technical dependencies required to maintain data integrity across all internal analytics use cases. -Manage the standardized intake process for Level 1 data requests by extracting, assembling, and delivering datasets from the data warehouse (Snowflake) in requested formats. -Develop practical tools, examples, and "how-to" documentation that help campus users access and use governed data correctly, supporting the transition from basic data requests to responsible self-service analytics and AI-assisted workflows. -Design and maintain governed semantic layers that provide a consistent, well-documented source of business meaning for both human-led BI and autonomous AI agent consumption. -Build and configure data interfaces (e.g., API endpoints or Model Context Protocols) that allow AI systems to reliably query institutional data. Manage the technical deployment and configuration of AI interaction layers to ensure appropriate integration with these interfaces. -Support lightweight Machine Learning Operations (MLOps) tasks including routine deployments, versioning, and API integration into application pipelines, ensuring complex architecture or infrastructure issues are escalated to the Senior Data Scientist/AI Engineer. -Perform extraction, transformation, cleansing, and documentation of datasets to ensure usability and clear lineage for downstream teams and AI use cases, coordinating with domain stewards to ensure all governed data meets institutional requirements. -Maintain all transformation logic and modeling code using version control (e.g., Git, Snowflake), ensuring a clearly documented and reproducible technical data catalog. -Implement automated testing, validation, and data quality checks to verify that data is accurate, consistent, secure, and reproducible across reports, semantic layers, and AI/ML data assets. Additional Functions: -Support data and AI literacy efforts by creating role-appropriate guidance, examples, and usage guardrails that help campus users interpret, access, and use governed data responsibly. -Keeps abreast of emerging technology trends in the modern data stack and the AI vendor landscape and takes an active interest in professional development to ensure skills stay current. -Identify recurring data definition conflicts, usage inconsistencies, and business-process issues encountered in technical implementation, and escalate them to the Data Governance Lead and domain stewards for resolution. Prerequisite Qualifications: -A Master's degree in Computer Science, Data Science, Software Engineering, Artificial Intelligence, or a related field. -Advanced proficiency in SQL and experience with cloud data warehouses (e.g., Snowflake). -Programming ability in Python or R for data manipulation and pipeline automation. -Experience with data manipulation libraries (e.g., NumPy, Pandas) and version control (e.g., Git, Snowflake). -Proficiency with data visualization tools (e.g., Strategy, Tableau). -Demonstrated ability to evaluate technical trade-offs and provide recommendations on software/tool selection. -Professional experience applying machine learning and statistical methods to real-world data, including the cleaning and preprocessing of large, complex datasets. -Demonstrated experience working with business domain stakeholders to interpret metrics and translate technical concepts into actionable business logic. -At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Preferred Qualifications: -At least three years of professional experience in data analytics, data engineering, or software engineering. -Working knowledge of data quality concepts, lineage, metadata management, and institutional governance processes. -Experience working with higher education ERP systems (e.g., Workday, Banner). -Experience in a higher education or research-intensive university setting. -Awareness of FERPA, GLBA, and responsible AI practices. -Familiarity with AI orchestration frameworks (e.g., LangChain). -Familiarity with project management frameworks in a technical environment. Bargaining Unit: PSA Range/Band: 26 Salary Information: In compliance with the NJ Pay Transparency Law, the negotiated annual salary range for this position is $73,502.29-$137,773.44 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. To learn more about the comprehensive benefits NJIT offers for this position, please visit our benefits page: . FLSA: Exempt Full-Time Apply NowShare Save Job

Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. Please note that this salary information is solely for candidates hire

This role blends sales, technical solutioning, and strategic consultation. Collaborate with sales, product, and customer teams to design and present high-impact solutions tailored to customer objectives. Enable and support the sales organization with technical discovery, compelling product demos, te

Senior Lead AI Engineer (FM Hosting).

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field

Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. Please note that this salary information is solely for candidates hire

Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. Please note that this salary information is solely for candidates hire

Lead Machine Learning Engineer (Gen AI, Python, Go, AWS). Solve complex scaling and high-availability problems by writing and testing performant application code in Python and Go-lang, developing and validating ML models, and automating tests and deployment. Use programming languages like Python, Go

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fiel

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field

Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. Senior AI Engineer (Gen AI Platform Services, Agentic Systems).

Lead AI Engineer (FM Hosting, LLM Inference).

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field

Position Summary What You’ll DoAs a Deloitte Tax, AI Engineer Manager, you will oversee the design, development, deployment, and support of custom AI applications and modules to address key business needs. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers Requisition

As used in this posting, "Deloitte" means Deloitte Tax LLP, a subsidiary of Deloitte LLP. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day.

Senior Architect / Senior Staff EngineerAbout Us Slalom is a purpose-led, global business and technology consulting company. You will design and build core services, partner with a Distinguished Engineer on architecture, and collaborate closely with GenAI and ML teams to integrate models and tool

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We are seeking a deeply experienced Senior Security Engineer to be the firm's subject matter expert on AI Security. Lead the firm's security strategy for Generative AI and Machine Learning, acting as the primary advisor on all AI security initiatives. Deep expertise in core security concepts, includ

Lead Machine Learning Engineer (Gen AI, Python, Go, AWS) As a Capital One Machine Learning Engineer (MLE) on the GenAI Workflows Serving team, you'll be part of an Agile team dedicated to designing, building, and productionizing Generative AI applications and Agentic Workflow systems at massive scale. You'll participate in the detailed technical design, development, and implementation of complex machine learning applications leveraging cloud-native platforms. You'll focus on building robust ML serving architecture, developing high-performance application code, and ensuring the high availability, security, and low latency of our Generative AI solutions. You will collaborate closely with multiple other AI/ML teams to drive innovation and continuously apply the latest innovations and best practices in machine learning engineering. What you'll do in the role The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and deliver GenAI models and components that solve complex business problems, while working in collaboration with the Product and Data Science teams. Design and implement cloud-native ML Serving Platforms leveraging technologies like Docker, Kubernetes, KNative, and KServe to ensure optimized and scalable deployment of models. Solve complex scaling and high-availability problems by writing and testing performant application code in Python and Go-lang, developing and validating ML models, and automating tests and deployment. Implement advanced MLOps and GitOps practices for continuous integration and continuous deployment (CI/CD) using tools like ArgoCD to manage the entire lifecycle of models and applications. Leverage service mesh architectures like Istio to manage traffic, enhance security, and ensure resilience for high-volume serving endpoints. Retrain, maintain, and monitor models in production. Construct optimized, scalable data pipelines to feed ML models. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Go, Scala or Java Bachelor's Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, Go or Java At least 2 years of experience building, scaling, and optimizing ML systems Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer San Francisco, CA: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Bachelor's Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr Director, Product Management (PXDP65). Director, Product Management - AI/ML Platform Intelligence. This individual will have excellent familiarity with emerging infrastructure and tooling for AI/ML application developers, and may have prior experience as a software engineer or data scientist with

AWS Certified Cloud Practitioner, AWS Certified AI Practitioner, AWS Certified Developer - Associate, AWS Certified Solution Architect - Associate, AWS Certified Machine Learning Engineer - Associate, AWS Certified Solution Architect - Professional, AWS Certified DevOps - Professional. Actual compen

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