AI Training Reliability Engineer Job at AMD (Beijing)

AI Trainer - Mechanical Engineers

We’re looking for Mechanical Engineers to help train and evaluate cutting-edge A...

Location

Salary:

Not provided

Prolific

Expiration Date

Until further notice

Requirements

Verified status as a mechanical engineer (e.g., by providing a professional profile that shows both educational and professional experience)
Recent clinical experience and comfort evaluating clinical reasoning and decision-making
Willingness to complete a short skills/eligibility screener to join our Domain Expert pool
Strong attention to detail and the ability to focus on complex tasks for up to one hour
A reliable, fast internet connection and access to a computer
Willingness to self-declare earnings (participants are self-employed)
A PayPal account to receive payments from our clients

Job Responsibility

Reviewing AI-generated responses to engineering scenarios and rating them for accuracy, appropriateness, safety, and reasoning quality
Comparing multiple model answers and selecting/justifying the best response
Writing improved exemplars, rationales, or structured feedback to help models learn where they fall short

What we offer

Competitive pay rates
Flexible hours
Ability to work from home

AI Trainer - Industrial Engineers

We’re looking for Industrial Engineers to help train and evaluate cutting-edge A...

Location

Salary:

40.00 - 75.00 USD / Hour

Prolific

Expiration Date

Until further notice

Requirements

Verified status as a Industrial engineer (e.g., by providing a professional profile that shows both educational and professional experience)
Recent clinical experience and comfort evaluating clinical reasoning and decision-making
Willingness to complete a short skills/eligibility screener to join our Domain Expert pool
Strong attention to detail and the ability to focus on complex tasks for up to one hour
A reliable, fast internet connection and access to a computer
Willingness to self-declare earnings (participants are self-employed)
A PayPal account to receive payments from our clients

Job Responsibility

Reviewing AI-generated responses to engineering scenarios and rating them for accuracy, appropriateness, safety, and reasoning quality
Comparing multiple model answers and selecting/justifying the best response
Writing improved exemplars, rationales, or structured feedback to help models learn where they fall short

What we offer

Competitive pay rates
Flexible hours
Ability to work from home

Data Engineer – AI Insights

We are looking for an experienced Data Engineer with AI Insights to design and d...

Location

United States

Salary:

Not provided

Thirdeye Data

Expiration Date

Until further notice

Requirements

5+ years of Data Engineering experience with exposure to AI/ML workflows
Advanced expertise in Python programming and SQL
Hands-on experience with Snowflake (data warehousing, schema design, performance tuning)
Experience building scalable ETL/ELT pipelines and integrating structured/unstructured data
Familiarity with LLM and RAG workflows, and how data supports these AI applications
Experience with reporting/visualization tools (Tableau)
Strong problem-solving, communication, and cross-functional collaboration skills

Job Responsibility

Develop and optimize ETL/ELT pipelines using Python, SQL, and Snowflake to ensure high-quality data for analytics, AI, and LLM workflows
Build and manage Snowflake data models and warehouses, focusing on performance, scalability, and security
Collaborate with AI/ML teams to prepare datasets for model training, inference, and LLM/RAG-based solutions
Automate data workflows, validation, and monitoring for reliable AI/ML execution
Support RAG pipelines and LLM data integration, enabling AI-driven insights and knowledge retrieval
Partner with business and analytics teams to transform raw data into actionable AI-powered insights
Contribute to dashboarding and reporting using Tableau, Power BI, or equivalent tools

Fulltime

AI Engineer

As an AI Engineer at Eitan Medical, you will be part of a team committed to brin...

Location

Israel , Netanya

Salary:

Not provided

Eitan Medical

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related STEM field (Master’s degree preferred)
Strong background in machine learning and data engineering
Proven experience deploying LLM-based or GenAI-powered applications (via APIs, frameworks, or pre-trained models)
Proficiency in Python and experience with AI/ML libraries (e.g., LangChain, Hugging Face, PyTorch, TensorFlow)
Experience with containerization and orchestration (Docker, Kubernetes, EKS/AKS)
Team player with excellent communication and collaboration skills, working effectively with multidisciplinary teams
Independent, proactive, and self-motivated, with a strong sense of ownership and the ability to drive initiatives from concept to delivery
Passion for continuous learning, staying at the forefront of AI and data innovation, and translating it into tangible impact

Job Responsibility

Integrate Generative AI (GenAI) capabilities into Eitan’s SaaS platforms to enhance clinical decision support, treatment optimization, and actionable medical insights
Identify and lead AI-driven initiatives across departments to streamline processes, boost productivity, and accelerate innovation
Design and implement AI-powered systems, including RAG architectures and agentic workflows, using frameworks such as LangChain, LlamaIndex, or similar
Develop effective prompt strategies and reasoning pipelines for adaptive, context-aware, and explainable AI behavior
Monitor and optimize AI system performance, maintaining accuracy, reliability, and safety in healthcare contexts
Stay ahead of emerging AI research and tools, evaluating new technologies for their potential to deliver measurable clinical and business impact

Senior Engineering Manager - AI

We are seeking a Senior Engineering Manager (Level 5) to lead a high-performing ...

Location

India , Chennai

Salary:

Not provided

Arcadia

Expiration Date

Until further notice

Requirements

15+ years of professional experience in software engineering
At least 4+ years in engineering leadership roles
Strong technical background in AI/ML systems, large-scale data pipelines, and cloud-native platforms
Hands-on experience with Python (preferred), modern ML frameworks (PyTorch/TensorFlow), and cloud services (AWS)
Proven success in managing teams of 4–6 engineers, scaling processes, and building diverse, high-performance teams
Strong architectural design and system-thinking abilities
Excellent communication skills with ability to influence cross-functional stakeholders
Passion for sustainability, decarbonization, and using technology to create positive climate impact
Experienced with building agentic pipelines with the latest models from Anthropic, Google, OpenAI, and more

Job Responsibility

Lead and grow a team of engineers focused on building AI-driven and data-intensive systems for the Arcadia platform
Design and train ML/AI models (forecasting, NLP, graph learning, generative AI) to improve data quality, cost effectiveness, and system scalability
Build true agentic workflows with multi-step processing incorporating RAG pipelines and MCPs
Balance management responsibilities (hiring, coaching, performance reviews, career growth) with technical leadership (architecture, system design, technical strategy)
Drive end-to-end delivery of complex projects in partnership with Product, Data, and Infrastructure teams
Guide the adoption of modern AI/ML technologies, ensuring practical, scalable use in production
Foster a culture of high performance, ownership, and technical excellence
Establish engineering best practices in testing, observability, reliability, and CI/CD
Partner with leadership to define roadmaps, set priorities, and align execution with Arcadia’s strategic goals
Represent AI across the company, articulating technical trade-offs and championing innovation

What we offer

Competitive compensation and employee stock options
Hybrid/remote-first working model (India-based role, with global collaboration)
Flexible leave policy
Comprehensive medical insurance (self + family members)
Annual performance cycle + quarterly recognition awards
A supportive, diverse engineering culture grounded in empathy, teamwork, and innovation

Fulltime

AI Software Engineer III

Planet DDS is a leading provider of a platform of cloud-based solutions that emp...

Location

United Kingdom , Glasgow

Salary:

Not provided

Planet DDS

Expiration Date

Until further notice

Requirements

5-7 years of professional software engineering experience
At least 4 years in AI/ML-focused roles
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or related field
Experience working in a SaaS or enterprise software environment
Publications or contributions to open-source AI/ML projects
Exposure to reinforcement learning, generative AI (LLMs, diffusion models), or real-time inference systems

Job Responsibility

Design, develop, and deploy AI and machine learning models in production environments
Architect scalable solutions that integrate AI capabilities into our products and services
Collaborate with data scientists, product managers, and backend/front-end engineers to translate prototypes into reliable, maintainable code
Own end-to-end development of AI systems, including data ingestion, model training, evaluation, and deployment
Implement best practices in model versioning, monitoring, and continuous improvement
Contribute to the evolution of our AI/ML infrastructure, including CI/CD pipelines and MLOps tools
Stay current on advancements in AI, ML, and deep learning and assess their applicability to business needs
Ensure AI solutions are ethical, interpretable, and aligned with regulatory requirements

Fulltime

Senior Devops & AI Engineer

This role presents a unique opportunity to contribute to the future of impactful...

Location

India , Hyderabad

Salary:

Not provided

Fission Labs

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or related field
6+ years of experience in Infrastructure Mgmt. roles, with a focus on cloud platforms (Azure and AWS Preferred)
Hands-on experience with operations (DevSecOps) principles and best practices
Proficiency in scripting languages such as Python, PowerShell, or Bash
Excellent communication and collaboration skills
In-depth knowledge of Linux operating systems, including CentOS, Ubuntu, and Red Hat, with expertise in shell scripting, package management, and system administration
Hands-on experience with a wide range of AWS and Azure services
Develop and maintain Infrastructure as Code (IAC) templates using tools such as Terraform or AWS CloudFormation
Experience setting up cloud infrastructure stack, databases, service endpoints, GPU as well as CPU resource scaling, optimization etc.
Should have worked AIOps/MLOP

Job Responsibility

Configure and optimize Linux-based servers for performance, security, and resource utilization, including kernel tuning, file system management, and network configuration
Architect cloud solutions leveraging best practices and services offered by AWS and Azure, optimizing for scalability, reliability, and cost-effectiveness
Implement and manage hybrid cloud environments, facilitating seamless integration and interoperability between AWS and Azure services
Establish version control practices for IAC templates, ensuring traceability, auditability, and reproducibility of infrastructure changes

What we offer

Opportunity to work on impactful technical challenges with global reach
Vast opportunities for self-development, including online university access and knowledge sharing opportunities
Sponsored Tech Talks & Hackathons to foster innovation and learning
Generous benefits packages including health insurance, retirement benefits, flexible work hours, and more
Supportive work environment with forums to explore passions beyond work

Fulltime

HPC & AI Systems Engineer for Integrated Systems Test

HPC & AI Systems Engineer for Integrated Systems Test role at Hewlett Packard En...

Location

Puerto Rico , Aguadilla

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or master's degree in Computer Engineering, Computer Science, Electrical Engineering, Information Systems, or equivalent
Minimum 4 years of experience
Experience with certification & submission to OS vendors of Linux (RedHat, SLES, Ubuntu, etc.), Windows Server operating systems, Windows Client operating systems, and VMWare (ESXi)
Experience installing and working with Linux, Windows and VMWare OSes
Experience in programming or scripting languages, Python, PowerShell, Perl, Linux Shell, Java, MySQL, MS SQL Server
Understanding of Redfish commands, RESTful API, and JSON format
Knowledge of creating and using Docker containers and VMs
Experience in configuring Storage (internal/external storage, file systems, and raid/non-raid settings) and Networking devices (iSCSI, FCoE, IPs, VLANs, Bonding, Jumbo Frames, LAGs)
Knowledge of networking concepts such as NIC teaming, VLANs, IPv4, IPv6
Excellent written and verbal communication skills in English

Job Responsibility

Work with Program & Product Management, technical leads, and product development teams to obtain product feature requirements
Design and implement new test features in existing and new test cases
Analyze, debug and provide feedback/resolution on issues uncovered by test team prior to submission of results to OS vendors for approval
Implement software solutions for multiple test programs/projects with internal and outsourced development partners
Review and evaluate the implementation and use of test automation and test tools
Planning, development, and implementation of software tools for the testing and evaluation of current and next-generation HPE HPC products
Debug and analyze issues to a successful resolution
Perform testing in local and remote labs
Drive appropriate automated test execution to test engineers at various global locations
Provide training and guidance to test teams both onshore and offshore

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive suite of benefits that supports physical, financial and emotional wellbeing

Fulltime

AI Training Reliability Engineer

AMD

Location:
China , Beijing

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 31, 2026

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AMD

Location:China , Beijing

Category:IT - Software Development

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Job Description:

Job Responsibility:

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Job Posted:January 31, 2026

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