16 ml ops engineer jobs at 16 companies in Secaucus, NJ
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Senior ML Ops Engineer
New York, New York, United States
$210k-$300k/yrOnsiteFull Time
Confido: N AI-enabled financial operations platform for CPG brands and their finance, sales, and operations teams.
5+ YOE5+ years building production ML/ML platform systems, strong Python and cloud infrastructure skills, experience with IaC and CI/CD, productionizing models and agentic workloads, and ownership of reliability/observability.
Treeswift: Robotics and physical-AI helping electric utilities’ field crews get more work done.
7+ YOE7+ years in observability/SRE/DevOps with Terraform, Kubernetes, Linux debugging, CI/CD, and cloud infrastructure; experience with Airflow/Astronomer and ML ops preferred.
San Francisco or Chicago or Scottsdale or New York
$118k-$203k/yrHybridFull Time
Early Warning Services: U.S. bank-owned fintech and consumer reporting agency providing identity, fraud-risk, and real-time payment solutions to financial institutions.
5+ YOEBachelor's in CS/Engineering; 5+ years in Data Science/ML/Ops; Python; AWS; Docker/Kubernetes; MLflow/Kubeflow; real-time model deployment; strong data/compute systems knowledge.
New York City or Toronto or United States or Canada
$195k-$245k/yrRemoteFull Time, Contract
FutureFit AI: AI-powered career mobility and workforce intelligence platform helping individuals, employers, and institutions navigate a changing labor market.
Senior MLOps/data engineering experience with strong systems design, hands-on implementation of production data pipelines and ML workflows, fluency with modern data/ML stack and cloud infrastructure (SQL, Python, Airflow, dbt, AWS).
RavenPack: Spanish financial data and AI analytics provider serving hedge funds, banks, and asset managers.
3+ YOEMaster’s or PhD in a quantitative field; 3+ years building production ML models focused on search, information retrieval, or recommender systems; Python, SQL, ML frameworks, vector databases, and English proficiency required.
Python, SQL, PyTorch, TensorFlow, Scikit-learn, Hugging Face
BlackLineNasdaq Global Select Market: BL: Public financial software helping finance and accounting teams automate record-to-report and invoice-to-cash processes.
Extensive experience building and operating ML/AI production systems, designing scalable data pipelines, distributed training, model deployment, CI/CD, observability, and cloud infrastructure.
Acadia PharmaceuticalsThe Nasdaq Stock Market LLC: ACAD: Public biopharmaceutical developing and commercializing medicines for underserved neurological and rare disease patients.
7+ YOE7+ years AI/ML engineering; hands-on with Generative/agentic AI; multi-agent frameworks; MCP servers; RAG pipelines; Python; ML Ops/LMM Ops; travel required.
Disney Streaming: Technology subsidiary operating direct-to-consumer streaming services for Disney, Hulu, and ESPN+ audiences.
5+ YOE5+ years in production ML engineering; strong CS/math background; backend microservices; cloud (AWS); data pipelines; ML Ops; leadership and collaboration.
Southfield or San Francisco or Seattle or Boston or New York City or Los Angeles or San Diego or United States
$184k-$270k/yrRemoteFull Time
Credit AcceptanceNasdaq: CACC: Public indirect auto finance helping independent and franchised dealers finance vehicles for credit-challenged consumers.
8+ YOEPhD (8+ yrs) or MS (10+ yrs) in a relevant technical field; 8+ years designing, building, and deploying ML/DL/Gen-AI models; hands-on experience with production ML/LLM ops, scalable systems, and leading technical teams.
Software Developer, Scaled Ops AI Acceleration Team
Austin or Menlo Park or Seattle or New York City or San Francisco
$171k-$240k/yrOnsiteFull Time
MetaNASDAQ: META: Builds technologies that help people connect, find communities, and grow businesses.
8+ YOE8+ years software engineering experience; 6+ years in ML/AI or related fields; BS in CS or equivalent; experience with full web stack, REST API, Python, PHP/Hack, JavaScript/React, PyTorch and LLMs; SQL and technical communication skills.
PepsiCoNASDAQ: PEP: Multinational food and beverage.
8+ YOESenior AI Engineer with 8+ years in software lifecycle, ML/AI, and production-grade agent systems; strong Python/Java, distributed systems, and ML Ops experience.
CitiNYSE: C: Global financial services organization enabling growth and economic progress.
7+ YOERequires 7+ years implementing large-scale machine learning solutions, technical leadership, expert Python, ML Ops, listed ML frameworks and platforms, and a technology-related bachelor's or master's degree or equivalent experience.
Austin or Boxborough or Fort Collins or Longmont or Fishkill or Rochester or Secaucus
$92k-$137k/yrHybridInternship, Temporary
AMDNASDAQ: AMD: Leader in high-performance computing, graphics, and visualization technologies.
Current PhD student at a US university in computer science, computer engineering, electrical engineering, or related field; knowledge of listed programming, hardware, ML, or systems technologies encouraged.
New York City or United States or Philadelphia or Boston
$199k-$241k/yrHybridFull Time
Veho: Private logistics technology providing next-day and two-day parcel delivery and returns for e-commerce brands.
6+ YOEBachelor's degree plus 6+ years (or Master's plus 4+ years) in ML engineering; experience building ML platforms, training/serving infrastructure, feature stores, orchestration, monitoring, deployment pipelines; experience managing ML Platform/ML Ops teams; hands-on with Ray, Flink, Feast; cloud data tooling (AWS, Redshift, Databricks, Snowflake); s...
Ultra: Private AI networking platform that connects users with-founders, investors, experts, and talent.
Technical program management experience owning ML/robotics data programs, understanding of ML training data and evaluation, cross-team coordination with research/engineering/ops, and ability to drive delivery.
Vice President, Data Transfer, Integration & Quality Manager
London or New York
$69k-$175k/yrOnsiteFull Time
BNYNYSE: BNY: A global financial services platform at the heart of the world's capital markets.
Proven AI strategy and roadmap experience; hands-on with Python, ML/GenAI stacks, ML Ops/CI‑CD, cloud services and data pipelines; ability to translate business to technical plans; Bachelor’s in CS/Engineering/Mathematics required.
Python, ML Ops/CI‑CD, cloud services, data pipelines, monitoring/observability