MLOps Engineer - Remote (New Jersey)

Tiger Analytics is on the lookout for skilled Machine Learning Engineers to become a part of our rapidly expanding advanced analytics consulting firm. Our team members possess profound knowledge in Machine Learning, Data Science, and Artificial Intelligence. We take pride in being a trusted analytics partner for numerous Fortune 500 companies, helping them extract business value from data. Our leadership and business impact have been acknowledged by renowned market research firms such as Forrester and Gartner.As we strive to assemble the finest global analytics consulting team, we seek exceptional talent to join us. In this role, you will take charge of:Acting as an ML Engineer with 5-7 years of IT experience.Creating and managing pipeline training models, including building, deploying, testing, and monitoring using AWS SageMaker, AWS CloudFormation, AWS CodePipeline, and Lambda.Designing Airflow DAGs to facilitate training and scoring pipelines.Establishing a robust testing framework using Pytest.Implementing a monitoring solution using a custom approach with Lambda and Dash.Developing Data Quality solutions, potentially utilizing Great Expectations.

At Talkiatry, we are revolutionizing mental health care with our virtual practice, designed by clinicians for clinicians. Our innovative care model, workflows, and infrastructure are meticulously crafted to ensure high-quality outpatient care while broadening access for patients in need.This opportunity is tailored for licensed therapists seeking:Consistent W-2 compensation along with comprehensive benefits.A flexible schedule within a well-structured outpatient framework.A minimal administrative workload in a fully remote setting.Clearly defined expectations regarding caseload, documentation, and pace.An outpatient therapy model specifically designed for virtual care, enabling you to provide thoughtful and systematic treatment.Your daily responsibilities will include:Conducting 100% remote outpatient therapy sessions.Working with lower to moderate acuity populations (e.g., anxiety, depression, trauma, ADHD, mood disorders, OCD, etc.).Standard session durations, including 60-minute intake and follow-up appointments.Managing a consistent outpatient caseload with clear, transparent goals.No responsibilities for inpatient care, IOP/PHP, or crisis calls.Access to an in-house referral network for psychiatrists.Complete operational support covering scheduling, billing, intake coordination, credentialing, and licensing.Enjoy Clinical Autonomy & Flexibility:Make independent treatment decisions.Provide input on your schedule and weekly availability within operational guidelines.Adhere to evidence-based standards in your clinical approach.Work in an environment where care expectations are shaped by practicing clinicians, promoting professional judgment and accountability for quality.You will practice independently while having access to clinical leadership for consultation and support. Our mission is to eliminate administrative burdens, allowing you to concentrate on delivering high-quality, evidence-based care to your patients.What we seek:Independently licensed therapists with a passion for patient care.

Lumana is dedicated to empowering organizations by harnessing the potential of their visual data — going beyond mere recording to actual comprehension and extraction of valuable insights. Our advanced AI-driven video security platform offers unparalleled visibility and control, enabling our clients to enhance security, improve operational efficiency, and respond promptly in critical situations.Established in 2021 and supported by top-tier Silicon Valley investors, our team boasts extensive expertise in AI, computer vision, and machine learning. We are recognized as one of the fastest-growing companies in the video security sector, having recently secured the largest Series A funding in our industry. Our cutting-edge video security solution is designed to detect what matters, respond swiftly, and avert threats that were previously unavoidable.At Lumana, our teams are small, dynamic, and entrusted with leadership. We think innovatively, act swiftly, and implement like owners — because we truly are. Your contributions here will not only be impactful but also visible, enduring, and tangible.As a Solutions Engineer, you will serve as a vital technical ally to our expanding customer base across the U.S. Situated within the Technical Support organization, you will collaborate across departments to guide customers from the initial evaluation to the complete deployment phase, while closely partnering with Sales on both pre- and post-sales technical engagements.This position requires a balance of independent problem-solving and deep collaboration, addressing intricate technical challenges while providing trusted advice on our platform. Acting as a bridge between customers, Engineering, and Product, you will have a direct impact on product development in the cloud-managed IoT arena while propelling your own career advancement. We seek individuals who thrive on making a difference and are driven to advance the business.

Join qodeworld as a Data Engineer and play a pivotal role in shaping data systems that transform raw data into actionable insights for Fortune 20 clients. As part of our dynamic team, you will be responsible for constructing and managing data infrastructures that support analytics and business intelligence. To excel in this position, you should possess robust analytical capabilities and problem-solving prowess, with a knack for integrating diverse data sources into coherent formats. Your responsibilities will include analyzing raw data, developing and refining datasets, enhancing data quality, and creating efficient data pipelines. You will work collaboratively with various teams to interpret trends and patterns, conduct intricate data analyses, and prepare data for predictive and prescriptive modeling. If you are passionate about data accessibility and innovation, we want to hear from you!

At qodeworld, we are seeking talented Data Engineers who excel in building and optimizing data systems that transform raw data into actionable insights for analytics and strategic business decisions. Our Data Engineers support a diverse portfolio of Fortune 20 clients, and the ability to blend data from multiple sources is crucial for success in this role. As a Data Engineer, you will take charge of collecting, managing, and converting unrefined data into structured information, ultimately making it accessible for data scientists and business analysts to drive performance enhancements. Key responsibilities include analyzing and organizing data, developing and maintaining datasets, improving data quality, constructing data pipelines, interpreting trends, and preparing data for advanced modeling. You will work collaboratively with data scientists and architects on groundbreaking projects. If you possess strong analytical skills, a knack for algorithm development, and can communicate effectively with both technical and non-technical stakeholders, we would love to hear from you.

Join 10alabs as an MLOps / Infrastructure Engineer, where you will play a crucial role in streamlining the deployment and management of machine learning models. Collaborate with cross-functional teams to build robust infrastructure that supports scalable and efficient AI solutions. Your expertise will help us enhance our platform and drive innovation.

Join Talkiatry, a clinician-led virtual psychiatry practice, where we merge the reliability of hospital practices with the independence of private practice. Our innovative approach prioritizes clinical autonomy while providing a supportive environment for our psychiatrists.

Raft is seeking a Principal MLOps Engineer to help build and scale advanced AI and data platforms for the Department of Defense. This position plays a key role in transforming large volumes of real-time sensor and operational data into actionable intelligence, supporting critical decision-making for operators through mission applications and operational displays. What you will do Advance mission-critical AI and data platforms that process billions of daily events with low-latency pipelines and cloud-native architecture. Support the development of an end-to-end machine learning platform for model development, evaluation, deployment, monitoring, and lifecycle management. Ensure the platform operates effectively across both cloud infrastructure and resource-constrained environments. Location This role is open to remote work within the United States as well as in DMV, McLean, VA, Boston, MA, San Antonio, TX, Colorado Springs, CO, Tampa, FL, and Honolulu, HI. Eligibility U.S. citizenship is required. All work must be performed within the continental United States.

At Quanata, we prioritize your safety during the job application process. We advise all applicants to be vigilant against potential security risks when sharing personal information online. Please note that our only communication will originate from email addresses with the domain quanata.com. Any other correspondence should be disregarded as potentially unsafe.About UsQuanata is dedicated to transforming the insurance landscape through innovative, context-based solutions. Our team is passionate about leveraging cutting-edge technology to create exceptional digital products and brands. We combine top-tier talent from Silicon Valley with the robust support of State Farm, a leading insurer.Discover more about our mission and impact at quanata.com Our Team Our diverse team of data scientists, actuaries, engineers, designers, and marketers unites to pioneer the future of context-based insurance solutions. We believe that success is not only about technology but also about hiring talented individuals who can drive measurable change.The RoleWe are seeking a Senior Data Engineer with a strong focus on MLOps to enhance our model development and delivery practices. Your role will involve shaping and automating the machine learning lifecycle, from data collection to model training and monitoring. This impactful position will see you collaborate with data engineers and data scientists to establish a powerful platform that accelerates the launch of new data science models at Quanata.Your Day-to-Day ResponsibilitiesImplement key data science solutions that facilitate risk-prediction products across underwriting, pricing, claims routing, and marketing.Design and construct ML pipelines adhering to industry best practices, primarily utilizing AWS services like SageMaker, while integrating with tools like MLflow for experiment tracking and data platforms such as Snowflake.Develop and maintain a shared feature store (Snowflake Snowpark + Kafka) that supports both batch and real-time feature retrieval.

Location: Remote (U.S.); DMV; McLean, VA; Boston, MA; San Antonio, TX; Colorado Springs, CO; Tampa, FL; Honolulu, HI Eligibility: U.S. citizenship required. All work must be performed within the continental United States. Raft delivers AI, machine learning, and data-driven solutions to U.S. military and government clients. The team specializes in autonomous data fusion, Agentic AI, distributed data systems, and building scalable platforms. Headquartered in McLean, VA, Raft partners with federal and public sector organizations to create digital solutions that reach millions of Americans, using design thinking and cloud-native technology. Role overview The Lead Principal MLOps Engineer plays a key part in supporting clients and collaborating with a team focused on complex, high-impact challenges. This position centers on building and maintaining mission-critical AI and data platforms for the Department of Defense. What you will do Work on platforms that process large volumes of real-time data from diverse sensors and operational sources. Transform raw data into actionable intelligence, supporting operators with timely decisions through mission applications and operational dashboards. Support a large-scale platform that manages billions of events daily, using low-latency data pipelines and cloud-native infrastructure. Advance the development of an end-to-end machine learning platform for model development, evaluation, deployment, monitoring, and lifecycle management across both cloud and constrained operational environments.

At dv01, we are unveiling the intricacies of the world's largest financial market: structured finance. Our platform serves as the backbone for vital activities that promote financial independence, ranging from consolidating credit card debt to refinancing student loans, purchasing homes, and launching small businesses. dv01’s cutting-edge data analytics platform offers unparalleled insights into investment performance and risk for lenders and Wall Street investors involved with structured products. As a data-centric organization, we meticulously manage essential loan data and develop state-of-the-art analytical tools that empower strategic decision-making for responsible lending. In essence, we are committed to preventing a recurrence of the 2008 global financial crisis by providing the data and tools necessary for informed, data-driven decisions that contribute to a safer financial environment for everyone. With over 400 of the largest financial institutions relying on dv01, we cover more than 100 million loans across various sectors, including mortgages, personal loans, auto loans, buy-now-pay-later schemes, small business loans, and student loans. dv01 is continually broadening its market coverage, adding new loans monthly, and innovating new technologies for the structured products landscape.

Join Talkiatry, a pioneering, clinician-led virtual psychiatry practice that seamlessly integrates the reliability of hospital care with the independence of private practice.This position is tailored for psychiatrists seeking:Stable, predictable W-2 income along with comprehensive benefitsFlexible working hours that allow you to dictate your schedule, session format, and patient demographicsReduced administrative responsibilities in a fully remote outpatient settingDaily Responsibilities Include:100% remote outpatient psychiatry servicesWorking with lower to moderate acuity patients (e.g., anxiety, depression, ADHD, mood disorders, OCD, PTSD)Providing care to a diverse patient demographic including children, adolescents (only treated by board-certified Child & Adolescent Psychiatrists), adults, and geriatric patientsStandardized session durations (60 minutes for initial consultations and 30 minutes for follow-ups)No inpatient care, intensive outpatient programs (IOP), partial hospitalization, or crisis interventionAccess to an in-house referral network for therapistsComprehensive operational support including scheduling, billing, intake coordination, and licensing assistanceEnjoy Clinical Freedom and Flexibility:Autonomy in determining your schedule and weekly availabilitySession lengths that adhere to established clinical standardsChoice of patient demographics tailored to your preferencesClinical decision-making without the pressure to rush visits or increase patient volumeComprehensive Benefits and Job Stability:Employer-sponsored health, dental, and vision insurance covering up to 100% of premiumsFully covered malpractice insurance (occurrence-based)401(k) plan with employer matching and immediate vestingGenerous paid time off (PTO), paid sick leave, and 11 holidaysPaid parental leave and long-term retention benefits (e.g., 4-week paid sabbatical after 5 years)CME reimbursement and designated CME daysLicensing support

Position OverviewJoin c-the-signs as a Senior MLOps Engineer, where your expertise in machine learning engineering will enable you to create and manage a cutting-edge production platform that drives ML and LLM-based healthcare workflows. You will be instrumental in designing systems that are reliable, secure, and compliant, facilitating model development, evaluation, deployment, monitoring, and ongoing enhancement. Collaborating closely with teams across ML, data science, security, and product development, you will ensure robust solutions are delivered.This opportunity is perfect for those who have successfully deployed ML systems in production environments and are passionate about LLM orchestration, RAG, evaluations, guardrails, and observability, particularly within regulated sectors.Key ResponsibilitiesMLOps & ML PlatformDesign and manage end-to-end ML platforms covering data ingestion, feature engineering, training, evaluation, deployment, and monitoring.Develop and uphold CI/CD processes for ML, including testing, packaging, versioning, reproducibility, automated rollbacks, and approvals.Adopt MLOps best practices, including model registry, experiment tracking, lineage, governance, and reproducible training environments.Create scalable training infrastructures with distributed training, GPU scheduling, cost controls, and auto-scaling functionalities.Establish and maintain feature pipelines and feature stores, ensuring alignment between training and inference to prevent training-serving skew.Implement comprehensive model monitoring and observability, covering performance metrics, drift detection, bias/fairness signals, latency, throughput, and data quality.Develop and manage LLM delivery pipelines, encompassing prompt/versioning, retrieval, orchestration, evaluation, deployment, monitoring, and iterative improvements.Create robust LLM evaluation frameworks that include offline and online components, automated regression testing, human-in-the-loop review workflows, and risk assessment.Establish cost management protocols focusing on token/cost budgeting, caching strategies, autoscaling, and performance optimization.Deployment, Reliability, and OperationsDeploy ML models on GCP utilizing containers and orchestration tools (e.g., GKE, Cloud Run) while building CI/CD for ML/LLM systems featuring automated tests and safe rollouts.Implement observability practices which include tracing, metrics, logs, dashboards, and alerts for model/system health metrics like latency, token usage, error rates, and drift indicators.Data, Governance, and Compliance (Healthcare)Design systems with a focus on security and privacy from the outset, incorporating IAM, least privilege, secrets management, audit logs, encryption, and PHI/PII handling protocols.Establish governance frameworks that cover model/prompt lineage, dataset provenance, evaluation traceability, and approval workflows in line with healthcare compliance standards.

Human Interest works to make retirement plans accessible for every worker, especially those at small and medium-sized businesses. Many Americans lack enough retirement savings, often because employer-sponsored plans are unavailable or too complex. Human Interest partners with businesses to offer affordable, straightforward retirement savings options. With backing from investors including BlackRock and TPG (The Rise Fund), Human Interest continues to grow as a fintech company focused on improving the retirement landscape. Role overview The Partner Account Manager (Remote, New Jersey) plays an important role in the Partnership Program. This position focuses on building and developing partner accounts to help drive company growth. The goal is to expand Human Interest’s presence among small and medium businesses by strengthening relationships with partners across the country. Initiative, motivation, and a strong sales background are important for success in this role. What you will do Establish and nurture referral partnerships with technology and human capital management providers.

Join Talkiatry, a pioneering clinician-led virtual psychiatry practice that seamlessly integrates the reliability of hospital care with the independence of private practice.We are seeking experienced Psychiatric Mental Health Nurse Practitioners (PMHNPs) who desire:Stable, predictable W-2 compensation and comprehensive benefitsFlexibility in scheduling, session frameworks, and patient demographicsA reduced administrative workload in a fully remote outpatient environmentYour daily responsibilities will include:Providing 100% remote outpatient psychiatric careFocusing on lower to moderate acuity populations such as anxiety, depression, ADHD, mood disorders, and PTSDConducting standard session lengths (60-minute intakes, 30-minute follow-ups)Excluding inpatient care, intensive outpatient programs (IOP), partial hospitalization, or crisis managementOperating within an integrated care model utilizing an in-house referral network to psychiatrists and therapistsReceiving full operational support, including scheduling, billing, intake coordination, and licensingExperience clinical autonomy and flexibility:Choose your schedule and weekly availabilityStructure sessions within established clinical standardsSelect a patient population aligned with your criteria and preferencesMake clinical decisions without pressure to shorten appointments or increase patient volumeEnjoy comprehensive benefits and job stability:Employer-funded malpractice insurance (occurrence-based, fully covered)Employer-covered health, dental, and vision insurance (up to 100% of premiums)401(k) plan with employer matching and immediate eligibilityGenerous paid time off (PTO), paid sick leave, and 11 paid holidays annuallyCME reimbursement along with dedicated CME daysLicensing support with upfront cost coverageProvided technology package for efficient practice managementQualifications:Active PMHNP certification and state licensurePrevious experience in psychiatric practice preferred

Hayden AI builds mobile perception systems that help transit agencies and city governments address real-world challenges. The team focuses on computer vision to improve bus lane and bus stop enforcement, modernize transportation technology, and support safer, more sustainable streets. The MLOps Engineer will join the Perception Deep Learning team in San Francisco, working in a hybrid model (at least three days per week in the office). This role centers on building and advancing Hayden AI’s machine learning platform, collaborating with perception, deep learning, and platform engineers to create infrastructure for training and deploying ML models. The position involves shaping the architecture for data ingestion, training pipelines, deployment, monitoring, and governance. What you will do Design, implement, and maintain cloud-based workflows for deploying and managing AI models. Work with cross-functional teams to identify workflow bottlenecks and deliver solutions that improve efficiency. Deploy new features and updates quickly while maintaining quality and reliability, and apply cost-saving strategies to optimize infrastructure spending. Stay up to date with new MLOps tools and technologies, integrating them to improve ML workflows. Participate in the team’s software development process, including design and code reviews, brainstorming, and maintaining accurate documentation. Requirements Bachelor’s degree and 3-4 years of experience in a related field.

Field AI is revolutionizing the interaction between robots and the physical world. Our mission is to create AI systems that are risk-aware, dependable, and ready for real-world applications, tackling the intricate challenges of robotics to unlock the true potential of embodied intelligence. By moving beyond standard data-driven methods and purely transformer-based models, we are pioneering innovative solutions that are already deployed globally, yielding tangible results and continually refining our models through actual field applications.We are on the lookout for a talented and driven MLOps Engineer to bolster our engineering team. In this pivotal role, you will be responsible for designing and maintaining the infrastructure and tools essential for the comprehensive lifecycle of machine learning systems utilized in robotics. Collaborating closely with machine learning engineers, robotics experts, and infrastructure teams, you will ensure the reliable training, evaluation, deployment, and monitoring of ML models. This position presents a thrilling opportunity to operationalize machine learning within dynamic and rapidly evolving robotic systems.

About Kreyco Kreyco (formerly Language Learning Network) partners with schools and educators nationwide to support preK-12 education. As a recognized New Jersey Alternate Route provider approved by the New Jersey Department of Education (NJDOE), Kreyco helps aspiring teachers navigate the certification process. Alternate Route Teacher Program Overview The next Pre-Professional Course cohort begins June 15, 2026. This online course is the first step in Kreyco’s Alternate Route program, designed to help educators work toward NJDOE certification. Endorsements Approved: World Language, ESL, Bilingual/Bicultural Education Pending Approval: ELA, Sciences, Arts, Math, Physical Education, History, Elementary (K–6), Preschool–3 Program Details Pre-Professional Course (required for Alternate Route) Kreyco Alternate Route Program (two-year duration) Total cost: $500 How to Register Ready to start? Register here. Additional Information Important: Kreyco is not currently listed on the NJDOE website.

Sailor Health is hiring a Remote Mental Health Therapist licensed in New Jersey to provide virtual therapy for seniors. This position centers on supporting older adults through personalized mental health care delivered online. What you will do Lead remote therapy sessions with seniors living throughout New Jersey Foster a safe and confidential space where clients can share openly Adjust therapeutic methods to fit the unique needs of older adults Encourage mental wellness and assist clients as they navigate life’s challenges Requirements Current mental health license in New Jersey Experience with or genuine interest in supporting seniors Comfort using virtual therapy tools and platforms

Fully remote | Complete engagement jobFounded in Palo Alto by Dr. Andrew Ng and Israel Niezen, Factored is dedicated to empowering organizations by assisting U.S. companies in building and scaling elite AI, ML, and Data teams. Our mission is clear: to unleash the potential of exceptional individuals and amplify their impact in the world.As a member of Factored, you will join a vibrant community that champions learning, ownership, and authenticity. We value your growth, embrace your ideas, and foster a culture of transparency, curiosity, and collaboration. Together, we aim for excellence, celebrate diversity, encourage inquiry, and cultivate an environment where you can truly thrive.We are seeking a MLOps Engineer to join our innovative team. In this role, you will be integral to the development and maintenance of AI products for our clients. At Factored, we envision a company that belongs to all of us, and we need your expertise to elevate this journey to new heights and create new opportunities. In return, you'll benefit from a supportive team, a rich culture, shared success, and the flexibility to work from the comfort of your home.