Kansara Systems Inc

ML Ops Lead /Architect

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an ML Ops Lead/Architect with a contract length of over 6 months, offering a pay rate of $112,384.41 - $135,344.66 per year. Located in Edison, NJ/Toronto, ON (Hybrid), it requires 15+ years of experience in ML Ops, AWS, and technical product management.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
615
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🗓️ - Date
November 20, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Edison, NJ 08817
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🧠 - Skills detailed
#AI (Artificial Intelligence) #ML (Machine Learning) #Data Science #GitHub #Leadership #Documentation #Version Control #Cloud #SageMaker #AWS (Amazon Web Services) #IAM (Identity and Access Management) #Data Engineering #ML Ops (Machine Learning Operations) #Jupyter #S3 (Amazon Simple Storage Service) #Python #DevOps
Role description
Title: ML Ops Lead /ArchitectLocation - Edison NJ /Toronto ON (Hybrid)Min exp : 15Y Require a strong blend of technical depth, system design and leadership and management skills and apply these principles to building out an evolving ML / AI platform on cloud. • Oversee the design, implementation, and maintenance of ML Ops solution using AWS services like Amazon SageMaker and other platforms • Own relationship with key internal stakeholder management / drive product roadmap - Ensure seamless collaboration across cross-functional teams including data scientists, data engineers, software developers, and business stakeholders, adapting communication for various personas across LoBs • Influence and collaborate with various stakeholders including platform users, architects, cloud engineering, DevOps and others • Lead and manage a geographically distributed team (offshore) of talented engineers, provide technical directions, coach junior members, and manage priorities Good fit if individual has: • Proven experience in end-to-end lifecycle of ML Ops /GenAI platform build out in cloud (AWS preferred) • Has several years of experience in technical product management or cloud platform product leadership • Has hands on experience with cloud infrastructure. AWS Preferred. Strong working knowledge of AWS services such as SageMaker and related services such as ECS, IAM, Cloud Watch, S3 etc. • Nice to have familiarity with Infra-as-code such as AWS CDK • Proficient in Github workflows, CI CD, and version control practices • Proficient in Python and its ecosystem of tooling such as Jupyter Notebooks, Packaging, Documentation Job Type: Contract Pay: $112,384.41 - $135,344.66 per year Work Location: In person