Conexess Group · 14 hours ago
AI/ML Platform Engineering Lead (Python) - Onsite
Conexess Group is seeking an AI/ML Platform Engineering Lead to join their engineering team, focusing on building the infrastructure that powers production AI. The role involves architecting and scaling MLOps infrastructure while mentoring engineers and collaborating with cross-functional teams to deliver impactful AI solutions in semiconductor manufacturing.
ConsultingInformation ServicesInformation TechnologyStaffing Agency
Responsibilities
Design, deploy and scale AI/ML platforms for model training and inference
Implement CI/CD pipelines for models and data workflows, ensuring reproducibility and compliance
Develop tools and frameworks that empower ML engineers to move from prototype to production seamlessly
Collaborate with cross-functional teams—including hardware and software—to integrate AI into instruments and factory workflows
Establish observability and governance for model performance, drift detection, and reliability
Mentor engineers and champion best practices in platform engineering and MLOps
Qualification
Required
Strong programming skills in Python; experience with ML frameworks (PyTorch, TensorFlow, Keras)
Expertise in MLOps tools (MLflow, Kubeflow), container orchestration (Kubernetes, Docker), and infrastructure automation (Terraform)
Experience deploying models in secure or disconnected environments (air gapped, on-prem)
Familiarity with cloud platforms (AWS, Azure, GCP) and hybrid architectures
Proven ability to lead technical design discussions and mentor engineering teams
Requires a minimum of 5 years of related experience with a Bachelors degree, or 3 years of experience and a Masters Degree
Company
Conexess Group
Conexess Group is an information technology company providing IT staffing and project management services.
H1B Sponsorship
Conexess Group has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (2)
2024 (2)
2023 (1)
2022 (2)
2021 (2)
2020 (5)
Funding
Current Stage
Growth StageCompany data provided by crunchbase