Senior Machine Learning Engineer (Inference & Deployment)

Hitachi, Ltd.; San Jose (CA); Remote; USD 130,000 - 140,000; Full time

Benefits offered by this job

Flexible schedules

Work from home

Professional development

Job summary

GlobalLogic is seeking a senior ML deployment engineer to own end-to-end model deployment, benchmarking, and monitoring in a cloud-native, Java-based streaming pipeline.

You will collaborate with ML researchers, deploy in Google Cloud Platform, operate hybrid cloud/on-prem environments, and lead performance testing for inference frameworks.

A BS/MS in CS/EE/Math is required and 10+ years in engineering with ML deployment experience.

Qualifications

• Bachelor’s or Master’s degree in CS, CE, Math or related field.
• 10+ years of engineering experience with ML inference and deployment.
• Experience with Java or JVM-based systems.

Responsibilities

• Learn and adapt rapidly to unfamiliar technologies.
• Deploy models in cloud environments, preferably Google Cloud Platform.
• Test and debug distributed systems end-to-end.
• Benchmark models and collaborate with researchers on ML inference.
• Collaborate with researchers to guide inference decisions.

Skills

ML inference

Deployment

Quality testing

Java exposure

Streaming architectures

Hybrid cloud

Education

Bachelor’s or Master’s degree in CS/EE/Math

Job description

Job Description

• Deploy & Automate: Own deployment automation from model handoff to live serving on Google Cloud Platform, successfully integrating models into Java-based streaming pipelines.
• Benchmark & Evaluate: Assess new ML inference frameworks, conduct performance/quality testing, and perform model sampling to support researcher feedback loops.
• Monitor & Debug: Track real-world model behavior and troubleshoot issues across the full distributed stack.
• Collaborate: Partner closely with ML researchers to guide inference decisions, requiring enough core ML knowledge to establish a strong technical handshake.
• 10+ years of engineering experience with a strong foundation in ML inference, deployment, and quality testing

Requirements

• Exposure to Java or JVM-based systems (model integration happens in Java, but deep expertise is not required).
• Familiarity with streaming data architectures.
• Experience operating in hybrid cloud and on-premises environments.

Job Responsibilities

• Demonstrated ability to learn and adapt rapidly to non-standard or unfamiliar technologies.
• Hands-on experience deploying models in cloud environments (Google Cloud Platform preferred).
• Working knowledge of distributed systems sufficient for effective end-to-end testing and debugging.
• Core ML knowledge to effectively benchmark models and collaborate with researchers.
• Bachelor’s or Master’s degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.

GlobalLogic estimates the starting pay range for this role to be performed remotely to be $130,000 to $140,000 and reflects base salary only. This pay range is provided as a good-faith estimate, and the amount offered may be higher or lower. GlobalLogic takes many factors into consideration in making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.

What we offer

• Exciting Projects:Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.
• Collaborative Environment: You can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment - or even abroad in one of our global centers or client facilities!
• Work-Life Balance:GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules and opportunities to work from home.
• Professional Development:We provide continuing education classes, professional certification and training (technical, soft skills, language, and communication skills) to help you realize your professional goals. Being part of a global organization, there are additional learning opportunities through international knowledge exchanges.
• Excellent Benefits:We provide our employees with competitive salaries, health and life insurance, short-term and long-term disability insurance, a matched contribution 401K plan, flexible spending accounts, and PTO and holidays

About GlobalLogic

GlobalLogic is a full-lifecycle product development services leader that combines chip-to-cloud software engineering expertise and vertical industry experience to help our customers design, build, and deliver their next-generation products and digital experiences. We expertly integrate design, complex engineering, and agile delivery capabilities to deliver superior business outcomes for global brands in telecom, automotive, healthcare, technology, media and entertainment, manufacturing, and semiconductor industries.

Headquartered in Silicon Valley, GlobalLogic employs over 25,000 designers and engineers across the globe. Analysts like NASSCOM and Zinnov have recognized us for being a top company in our field, and we are consistently nominated as a preferred employer by both global HR consultative firms and local job boards. By creating a work environment that is exciting and flexible, and by fostering growth through ongoing learning and development programs, we empower our employees to achieve both their professional and personal goals.

At GlobalLogic, we make amazing products — and careers.