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Full-time
Posted 51d ago
~40 hrs/week
Responsibilities
Lead the architecture and implementation of scalable AI systems from model development through production deployment. Define engineering best practices for AI workflows and mentor engineers to drive technical excellence.
Requirements
Requires 8+ years of software engineering experience, including 2+ years in leadership, with strong expertise in ML frameworks and cloud platforms. Proficiency in Python and familiarity with MLOps tools like MLflow or Kubeflow is essential.
Full job description
We are seeking an experienced AI Engineering Lead to design, build, and scale advanced AI systems from model development through production deployment. The role involves leading the architecture of machine learning solutions, defining engineering best practices, and ensuring robust, reliable, and scalable AI workflows.
The ideal candidate has strong expertise in machine learning systems, data pipelines, and distributed computing, along with hands-on experience in Python and frameworks such as PyTorch, TensorFlow, or JAX. This role requires experience with cloud platforms (AWS, GCP, or Azure), containerization tools like Docker and Kubernetes, and familiarity with MLOps practices including model versioning, deployment, and monitoring.
You will collaborate closely with research, product, and engineering teams to deliver high-impact AI solutions, while also mentoring engineers and driving technical excellence across the organization. Strong leadership and communication skills are essential, along with a proven ability to bridge research and production environments.
This is a hybrid position for candidates located in NY/NJ that can commute to the office 4 days a week.
Required Qualifications
Lead the architecture and implementation of AI systems, from model development to deployment.
Define engineering best practices for AI workflows, model lifecycle, and system reliability.
8+ years of experience in software engineering, including 2+ years leading or mentoring teams.
Strong background in machine learning systems, data pipelines, or distributed computing.
Proficiency in Python (preferred), plus experience with frameworks such as PyTorch, TensorFlow, or JAX.
Experience with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker).
Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.).
Strong understanding of model deployment, versioning, and monitoring.
Excellent communication skills and ability to collaborate with research and product stakeholders.
Related keywords
AI Tech LeadMachine LearningPyTorchTensorFlowJAXPythonAWSGCPAzureDockerKubernetesMLOpsMLflowKubeflowAirflowDistributed Computing
We follow a customer first approach and collaborate with our clients to identify what is important for their business.We understand the synergy between the journey and the destination. We leverage innovative and collaborative processes to consistently achieve targeted outcomes.We specialize in providing clients with a hands-on approach that produces actionable strategies and practical solutions. We are committed to achieving results that surpass our clients’ expectations.
Offices: 50 WEST, 40 street, New York , New York 10018, US
Information TechnologyDigital MarketingData ManagementSoftwareAnalytics
Based on 3086 listings with disclosed salaries, most engineering jobs in New Jersey pay between $82k–$197k per year. Individual offers vary with seniority, company size, and specialization.
How many Engineering jobs are open in New Jersey right now?
There are currently 4,798 open engineering positions in New Jersey listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in New Jersey?
Companies currently hiring include JPMorganChase, MSD, Bright Vision Technologies, L3Harris Technologies, French & Parrello Associates, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in New Jersey?
Yes — 1290 of the 4798 open engineering positions offer remote or hybrid work (289 remote, 1001 hybrid).
How do I apply for Engineering jobs in New Jersey?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.