Referso Jobs

AI/ML Platform Engineer

Infosys Pontoon · Posted Nov 9, 2026

Open

Richardson, Texas, United States
On-site
Contract · Senior
7+ years

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AI/ML Platform Engineer

Infosys Pontoon · Posted Nov 9, 2026

Open

Richardson, Texas, United States
On-site
Contract · Senior
7+ years

Apply with Referso

Technology Architect | Java | Java Libraries

IMCS Group Inc · Posted Nov 9, 2026

Open

Richardson, Texas, United States
Hybrid
Senior
7+ years

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Technology Architect focused on ML inference, deployment, and quality testing with strong expertise in Java/JVM-based systems and Google Cloud Platform.

Responsibilities

Evaluate and benchmark new ML inference frameworks to guide production decisions
Design and execute benchmarking, performance testing, and quality testing on ML models
Deploy models to GCP and integrate them into production applications and Java-based streaming pipelines

Requirements

Nice to have: Java or JVM-based systems
Nice to have: experience in hybrid cloud on-prem environments

Skills

ML inference deployment quality testing TensorFlow PyTorch JAX Google Cloud Platform Java/JVM-based systems hybrid cloud on-prem environments

Sr. Software Integration Engineer, Autonomy

42dot · Posted Nov 7, 2026

Open

Sunnyvale, California, United States
Senior
$200K–$300K per year
5+ years

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Build and maintain the model deployment pipeline for autonomous vehicle software, integrating ML models into on‑board systems and optimizing inference on embedded automotive hardware.

Compensation

$200,000 - $300,000

Responsibilities

Integrate ML models onto the on‑board compute and runtime stack
Optimize model inference for latency, throughput, memory, and power on embedded automotive hardware
Build and maintain the model deployment pipeline, including conversion, validation, and rollout
Stabilize on‑vehicle ML execution by diagnosing runtime failures, timing violations, and resource contention
Define interface contracts between ML models and the rest of the on‑board software stack

Requirements

Bachelor's, Master's, or PhD in CS, EE, Robotics, or related field
Nice to have: Background in autonomous driving or robotics on‑board software
Nice to have: Experience with inference optimization frameworks such as TensorRT, ONNX Runtime, and automotive SoCs
Nice to have: Experience with real‑time operating systems and safety‑critical software practices
Nice to have: Experience building CI/CD and automated validation pipelines

Skills

C++Python

MTS-Lead-Full stack Efficiency and Observability

Microsoft AI · Posted Nov 5, 2026

Open

Bengaluru, Karnataka, India
On-site
Full-time · Manager
10+ years

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Lead a team to build capacity intelligence and fleet observability tools for Microsoft AI.

Responsibilities

Build a team that delivers innovative products in a fast-paced environment
Lead a key role in shaping architectural decisions, mentor engineers, drive execution and turn complex, high-scale, and high-volume data into intuitive visual experiences
Lead the design and development of features to provide visibility into model performance and quality across our fleet
Integrate with backend APIs from schedulers, training frameworks, and production inference systems to build visibility across the model life cycle
Explore, develop, and adapt new innovations to the software development process

Requirements

Bachelor’s or Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field

Skills

building large-scale telemetry systems distributed systems web performance accessibility cross-browser compatibility

ML inference jobs

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