intelligent systems engineer

digital.enterprises

<div>
 
 
 BUILD THE REAL-TIME INTELLIGENCE OF ADAPT
 
 
 
 
 
 
 
 About digital.enterprises
 
 
 
 digital.enterprises is shaping the future of the energy sector. We help companies run smarter integrating people, data, and technology to create intelligent, adaptive, and human-centred operations. Based in Doha, the LNG and GTL capital of the world, we fuse deep industry expertise with cutting-edge digital thinking to transform how energy companies work, connect, and grow. If you are driven by impact, speed, and purpose not titles or bureaucracy you will fit right in.
 
 
 
 
 
 
 About ADAPT
 
 
 
 ADAPT is our flagship platform a real-time digital mesh connecting the energy sectors Maintenance, Repair &amp; Operations (MRO) ecosystem. Instead of long procurement cycles, ADAPT matches buyer demand with supplier capability instantly, using live data and AI to surface qualified options with governance, auditability, and human-in-the-loop controls.
 
 
 
 
 
 
 About the Role
 
 
 
 We are seeking an experienced AI Engineer to architect and implement the intelligent layer powering ADAPT. You will build production-grade LLM applications that disintermediate RFQs through real-time matching, provide real-time decision support, and deliver actionable insights to both buyers and suppliers. This role requires deep technical expertise in modern AI frameworks, enterprise-grade system design, and the ability to translate complex business requirements into reliable AI solutions.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 - AI Application Development
 
 
 <ul>
 <li>
 Design and deploy production LLM applications (LangChain/LangGraph) for supplier matching, requirement extraction, and automated workflow orchestration.
 </li>
 <li>
 Implement sophisticated tool/function calling to integrate LLMs with external systems (inventory databases, ERPs, communications platforms).
 </li>
 <li>
 Build robust context and memory systems for multi-turn conversations and long-running industrial processes.
 </li>
 <li>
 Develop intelligent agents for supplier evaluation, alternative proposals, and emergency response scenarios.
 </li>
 </ul>
 
 
 
 
 
 - System Architecture &amp; Optimisation
 
 
 <ul>
 <li>
 Write clean, maintainable code following established patterns and best practice.
 </li>
 <li>
 Optimise inference pipelines for latency, cost, and accuracy in high-stakes environments.
 </li>
 <li>
 Design scalable architectures for concurrent users across maintenance, procurement, and supplier teams.
 </li>
 <li>
 Implement caching, batching, and performance optimisations for enterprise-scale deployments.
 </li>
 </ul>
 
 
 
 
 
 - AI Quality &amp; Reliability
 
 
 <ul>
 <li>
 Develop comprehensive evaluation frameworks (AI evals) to measure accuracy, relevance, and business impact.
 </li>
 <li>
 Design and execute fine-tuning strategies for domain-specific models (MRO terminology, supplier capability, part specifications).
 </li>
 <li>
 Explore and implement RL-based agents for dynamic supplier analysis where beneficial.
 </li>
 <li>
 Create sophisticated prompt engineering solutions that balance specificity and flexibility.
 </li>
 </ul>
 
 
 
 
 
 - Security &amp; Compliance
 
 
 <ul>
 <li>
 Implement security best practice for sensitive procurement data, supplier information, and commercial terms.
 </li>
 <li>
 Ensure compliance with data protection regulations and industry standards (ISO, API standards, etc.).
 </li>
 <li>
 Design audit trails and logging for AI-assisted decisions in regulated environments.
 </li>
 <li>
 Build safeguards against prompt injection, data leakage, and other AI-specific vulnerabilities.
 </li>
 </ul>
 
 
 
 
 
 - Domain Integration
 
 
 <ul>
 <li>
 Collaborate with domain experts to understand oil &amp; gas MRO workflows, terminology, and critical requirements.
 </li>
 <li>
 Travel to client sites, supplier locations, and operational facilities to understand real-world constraints.
 </li>
 <li>
 Translate operational requirements into technical specifications and AI capabilities.
 </li>
 <li>
 Provide technical guidance during customer implementations and onboarding.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 
 
 
 
 
 - Experience &amp; Background
 
 
 <ul>
 <li>
 5+ years of professional software engineering experience in enterprise environments.
 </li>
 <li>
 Hands-on experience delivering working AI applications in production or advanced pilot environments.
 </li>
 <li>
 Experience working in regulated or sensitive-data settings.
 </li>
 </ul>
 
 
 
 
 
 Technical Expertise
 
 
 
 
 
 
 
 - LLM Frameworks &amp; Foundation Models
 
 
 <ul>
 <li>
 Deep expertise building complex agent workflows.
 </li>
 <li>
 Hands-on with major LLMs (OpenAI, Anthropic, open-source) including API integration and optimisation.
 </li>
 </ul>
 
 
 
 
 
 - Advanced AI Patterns
 
 
 <ul>
 <li>
 Function/tool calling and external system integration.
 </li>
 <li>
 Context-window management and retrieval strategies.
 </li>
 <li>
 Memory systems for stateful conversations and long-running processes.
 </li>
 </ul>
 
 
 
 
 
 - AI Engineering
 
 
 <ul>
 <li>
 Building evaluation frameworks and metrics for LLM applications.
 </li>
 <li>
 Fine-tuning for domain-specific use cases.
 </li>
 <li>
 Experimenting with RL-based agents where impactful.
 </li>
 <li>
 Advanced prompt engineering and optimisation.
 </li>
 </ul>
 
 
 
 
 
 - Software Engineering
 
 
 <ul>
 <li>
 Clean-code principles and&nbsp;SOLID&nbsp;design patterns.
 </li>
 <li>
 Performance optimisation and scalability.
 </li>
 <li>
 Version control (Git) and&nbsp;CI/CD&nbsp;pipelines.
 </li>
 <li>
 Testing strategies for AI systems (unit, integration, end-to-end).
 </li>
 <li>
 Security best practice, data protection, and compliance awareness.
 </li>
 </ul>
 
 
 
 
 
 - Soft Skills
 
 
 <ul>
 <li>
 Communication: explain complex AI concepts to non-technical stakeholders; write clear documentation; collaborate across teams.
 </li>
 <li>
 Travel: willingness and ability to travel to operational sites, client facilities, and partner locations.
 </li>
 <li>
 Problem-solving: strong analytical thinking; break down complex business problems into implementable AI solutions.
 </li>
 </ul>
 
 
 
 
 
 - Preferred
 
 
 <ul>
 <li>
 Domain knowledge in oil &amp; gas operations, supply chain, or industrial procurement.
 </li>
 <li>
 Experience with MRO/EAM/supply chain software.
 </li>
 <li>
 Familiarity with industry-specific standards and terminology.
 </li>
 <li>
 Background in traditional ML/data science beyond LLMs.
 </li>
 <li>
 Experience with vector databases, semantic search, and RAG architectures.
 </li>
 </ul>
 
 
 
 
 
 Why join us?
 
 
 
 At digital.enterprises, AI is a partner to people, not a replacement. This is Industry 5.0 in practice: technology amplifying human capability so energy operations become safer, more reliable, and more efficient delivering secure, affordable, cleaner energy at scale. You will join a mission-driven team led by credible industry leadership with the freedom to build technology that genuinely changes how an industry works.
 
</div>

Artificial Intelligence Engineer

General Mills

<div>Job Description:<div><div><div><div><div><div><div><div> 
Position Title</div><div> 
Senior Process Automation Engineer</div><div> 
Function/Group</div><div> 
Digital &amp; Technology</div></div><div><div> 
Location</div><div> 
India</div><div> 
Shift Timing</div><div> 
General/US</div></div><div><div> 
Role Reports to</div><div> 
D&amp;T Manager - Process Automation</div><div> 
Remote/Hybrid/in-Office</div><div> 
Hybrid</div></div> 
</div><div>
ABOUT GENERAL MILLS</div> 
We make food the world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and H&auml;agen-Dazs, we&rsquo;ve been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell.
How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out http://www.generalmills.com
 / US
General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people.
With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC) , Digital &amp; Technology (D&amp;T) Innovation, Technology &amp; Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy &amp; Intelligence (SSI) , Global Shared Services (GSS) , Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check out https://www.generalmills.co.in
We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow.<div>
JOB OVERVIEW</div></div></div><div><div> 
Function Overview 
The Digital and Technology team at General Mills stands as the largest and foremost unit, dedicated to exploring the latest trends and innovations in technology while leading the adoption of cutting-edge technologies across the organization. Collaborating closely with global business teams, the focus is on understanding business models and identifying opportunities to leverage technology for increased efficiency and disruption. The team's expertise spans a wide range of areas, including AI/ML, Data Science, IoT, NLP, Cloud, Infrastructure, RPA and Automation, Digital Transformation, Cyber Security, Blockchain, SAP S4 HANA and Enterprise Architecture. The MillsWorks initiative embodies an agile@scale delivery model, where business and technology teams operate cohesively in pods with a unified mission to deliver value for the company. Employees working on significant technology projects are recognized as Digital Transformation change agents. 
The team places a strong emphasis on service partnerships and employee engagement with a commitment to advancing equity and supporting communities. In fostering an inclusive culture, the team values individuals passionate about learning and growing with technology, exemplified by the &quot;Work with Heart&quot; philosophy, emphasizing results over facetime. Those intrigued by the prospect of contributing to the digital transformation journey of a Fortune 500 company are encouraged to explore more details about the function through a provided Link 
Purpose of the role 
The Digital and Technology team of General Mills India Centre is looking for a passionate and enthusiastic individual to contribute to the Global Digital Transformation initiative at General Mills in capacity of a Senior Process Automation Engineer. This role will report into the Manager of the General Mills Process Automation Talent Acceleration Center (TAC) and functionally collaborate with our Global Process Automation Team. In this technical role, the Senior Process Automation Engineer will help drive the success of digital transformation and automation efforts at General Mills, by leading, designing, and delivering innovative solutions leveraging multiple process automation technologies such as Automation Anywhere A360 RPA, ServiceNow App-Engine Low Code/Workflow, and Winshuttle for SAP.</div></div><div> 
 KEY ACCOUNTABILITIES</div><div><div><div> 
An associate in an Intelligent Automation team, focusing on building automation solutions using ServiceNow and integrating AI with Machine Learning and Agentic AI capabilities, would typically have the following key accountabilities:</div>
1. Solution Design and Development:
o Design, develop, and implement end-to-end automation solutions within the ServiceNow AppEngine (Web UI, Workflows, CRUD Apps)
o Translate business requirements and process flows into technical specifications and automation workflows.
o Develop custom applications, modules, and integrations within ServiceNow to support automation initiatives.
o Main point of contact for the team to address complex issues and prevent business interruptions.
o Leads the recruitment and training initiatives for the automation team. Provides coaching and reviews the work of colleagues.
o Serves as the point of contact for external vendors and platform partners.
o Dedicates time to researching the latest automation technology stack and influences technology and business stakeholders to adopt relevant automation solutions. 
2. ServiceNow Platform Expertise:
o Develop Custom Low Code Applications utilizing ServiceNow App-Engine (Web UI, Workflows, CRUD Apps)
o Configure and customize ServiceNow instances, including workflows, forms, reports, and dashboards.
o Ensure adherence to ServiceNow development standards and governance policies.
3. Machine Learning (ML) Integration:
o Identify opportunities to embed ML models into ServiceNow workflows to enhance automation, prediction, and decision-making (e.g., intelligent routing, anomaly detection, predictive analytics).
o Work with data scientists or ML engineers to integrate pre-trained or custom ML models into ServiceNow applications using APIs or other integration methods.
o Assist in data preparation, feature engineering, and model deployment for ML-driven automation.
4. Agentic AI Capabilities:
o Explore and implement Agentic AI concepts within ServiceNow, such as intelligent virtual agents (chatbots), autonomous workflows, and proactive problem resolution.
o Design and configure conversational AI interfaces to improve user experience and automate common requests.
o Develop and integrate AI agents that can perform tasks, make decisions, and learn from interactions to optimize processes.
5. Integration Development:
o Develop and manage integrations between ServiceNow and other enterprise systems (e.g., SAP, GCP , SQL tools) using REST APIs
o Ensure secure and reliable data exchange between connected systems.
o Manage automation platforms, infrastructure, security, and modernization efforts. 
6. Testing and Quality Assurance:
o Conduct thorough testing of automation solutions, including unit, integration, and user acceptance testing (UAT).
o Identify and resolve defects, performance issues, and security vulnerabilities in developed solutions.
7. Documentation and Knowledge Transfer:
o Create and maintain comprehensive technical documentation for all developed solutions, including design documents, user manuals, and support guides.
o Manage project documents &amp; delivery processes. Also, responsible for the standards &amp; processes of Talent Acceleration Center
o
8. Collaboration and Communication:
o Work closely with business stakeholders, process owners, and other IT teams to gather requirements and ensure solutions align with business objectives.
o Participate in agile development ceremonies (e.g., sprint planning, daily stand-ups, retrospectives).
o Communicate technical concepts effectively to non-technical audiences.
9. Continuous Improvement and Innovation:
o Stay updated with the latest trends and advancements in intelligent automation, ServiceNow, Machine Learning, and Agentic AI.
o Proactively identify opportunities for process improvement and new automation initiatives.
o Contribute to the team's knowledge base and best practices.
10. Troubleshooting and Support:
o Provide ongoing support for deployed automation solutions, including incident resolution and problem management.
o Monitor the performance and health of automation workflows and integrated AI components.</div></div><div> 
MINIMUM QUALIFICATIONS</div><div><div> 
</div></div> 
</div><div></div><ul><li>
Bachelor&rsquo;s degree with 8+ years of experience and a minimum of 4 years of relevant experience.</li><li>
Expert in ServiceNow App-Engine Low Code/No Code Workflow experience.<ul><li>
Client Side and Server-Side Scripting i.e. Catalog Client Script, Business Rules, Script Actions, Script Includes, and UI policies.</li><li>
Flow Designer, Actions and Sub-actions.</li><li>
ServiceNow Portal, Widgets, HTML, and CSS.</li></ul></li><li>
JavaScript, JSON, XML, and REST APIs.</li><li>
Integration of ServiceNow with external systems like ERP, GCP, SAAS, and custom applications.</li><li>
System architecture, data, version control and security.</li></ul><div></div><div> 
PREFERRED QUALIFICATIONS</div><div></div><div> 
Understanding of: -</div><ul><li>
Other ServiceNow modules like CSM, ITSM, SAM, or CMDB.</li><li>
Agentic AI, Gen AI, Python AI Libraries.</li><li>
Cloud technologies like GCP/Azure/AWS.</li><li>
DevOps and ML Ops.</li><li>
Dot Net/Python, Web Technologies, Database, Web APIs.</li></ul></div></div></div>

Sr. D&T Intelligent Automation Engineer

Gulf Overseas HR Consultancy

The ITS Engineer will be responsible for designing, implementing, and maintaining Intelligent Transportation Systems that improve traffic flow, enhance safety, and optimize transportation infrastructure. The role combines traffic engineering, electronics, and IT solutions to develop smart transportation networks.Key Responsibilities:<ul><li>Design, implement, and maintain ITS infrastructure, including traffic signal systems, CCTV, sensors, variable message signs, and communication networks.</li><li>Develop and manage software and hardware solutions for traffic management, incident detection, and data collection.</li><li>Monitor, troubleshoot, and optimize ITS systems for efficiency, reliability, and safety.</li><li>Collaborate with government agencies, traffic engineers, and contractors for ITS projects.</li><li>Conduct feasibility studies, technical analysis, and cost estimates for ITS deployments.</li><li>Ensure compliance with local and international standards for ITS systems.</li><li>Analyze traffic data and provide actionable insights to improve road safety and reduce congestion.</li></ul>Qualifications &amp; Requirements:<ul><li>Bachelor's Degree in Electrical, Electronics, or Communication Engineering.</li><li>Minimum 5 years of relevant experience in ITS, Smart City, or Traffic System projects (Qatar/ GCC experience preferred).</li><li>Proven ability to lead full project lifecycles -from design through installation, testing, and 0 &amp; M.</li><li>Strong knowledge of QCS, Ashghal, and QFITS standards.</li><li>Ability to interpret and approve technical drawings, shop drawings, and as-built documents.</li><li>Skilled in network configuration, fault diagnosis, and system integration.</li><li>Excellent coordination with clients, consultants, and subcontractors.</li><li>Strong communication, documentation, and leadership skills.</li><li>Immediate joining preferred (NOC required).</li><li>Traffic Signalization Systems -field cabinet setup, controller configuration, and signal</li><li>optimization.</li><li>Over Height Vehicle Detection (OHVD)- system calibration, sensor alignment, and integration warning signs.</li><li>Closed-Circuit Television (CCTV)- configuration of IP-based surveillance, NVRs, and control center connectivity.</li><li>Dynamic Message Sign (OMS)- installation, software programming, and message display configuration.</li><li>Lane Control Sign (LCS) - lane management systems and control network integration.</li><li>Automatic Number Plate Recognition (ANPR) - setup, calibration, and data integration to central servers.</li><li>Weigh-In-Motion (WIM) - sensor installation, calibration, and data validation for high-speed weighing systems.</li><li>Communication &amp; Security Networks - configuration of switches, fiber connectivity, and network topologies for ITS.</li></ul>Job Type: Full-timePay: QAR7,000.00 - QAR10,000.00 per month

Intelligent Transportation Systems (ITS Engineer)

Extendo Technologies

About the Role:We are seeking a highly skilled and motivated AI Developer with strong expertise in Deep Learning and Natural Language Understanding (NLU) to join our team. You will play a key role in designing, developing, and deploying intelligent systems that can understand, interpret, and generate human language across a variety of real-world applications.Key Responsibilities:Design and implement deep learning models for NLP/NLU tasks such as text classification, question answering, entity recognition, and language generation.Fine-tune large language models (e.g., BERT, GPT, T5) on domain-specific datasets.Develop scalable AI pipelines from data preprocessing to model deployment and monitoring.Collaborate with data scientists, ML engineers, and product managers to integrate AI solutions into production systems.Perform error analysis and model performance evaluation using metrics such as F1-score, BLEU, perplexity, etc.Stay updated with the latest research in NLP/NLU, deep learning architectures, and transformer-based models.Contribute to codebase management, version control, and documentation of AI models and tools.Required Skills &amp; Qualifications:Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Machine Learning, or a related field.3+ years of hands-on experience in deep learning and NLP/NLU development.Proficiency with frameworks like TensorFlow, PyTorch, Hugging Face Transformers, or spaCy.Strong programming skills in Python; familiarity with REST APIs and microservices is a plus.Solid understanding of deep learning techniques such as RNNs, CNNs, LSTMs, and transformer architectures.Experience with model training, evaluation, and optimization techniques.Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps best practices is a plus.Job Types: Full-time, PermanentPay: &#8377;50,000.00 - &#8377;70,000.00 per monthBenefits:<ul><li>Health insurance</li><li>Provident Fund</li></ul>Experience:<ul><li>Artificial: 5 years (Required)</li></ul>Work Location: In person

Quesscorp Manpower Supply Services Llc

Senior AI Engineer (5 positions)<ul><li>Role Definition: Hands-on development of the AI agents and conversational systems that form the core of Aura. These engineers will be responsible for prompt engineering, building and fine-tuning agentic workflows, and integrating with various data sources and service APIs (e.g., EMRs, scheduling systems, lab results).</li><li>Capabilities: Proficient in Python and AI/ML frameworks. Demonstrable experience building multi-agent and/or complex RAG-based systems for real-world applications within a healthcare context. Expertise in working with Vector DBs and third-party APIs.</li></ul><div><div style="">Role: Data Engineer</div><div style="">Industry Type: Software Product</div><div style="">Department: Engineering - Software &amp; QA</div><div style="">Employment Type: Full Time, Permanent</div><div style="">Role Category: Software Development</div><div style="">Education</div><div style="">UG: Any Graduate</div></div>

Senior Artificial Intelligence Engineer

SYSTRA

<div>:
<div>
SYSTRA is one of the world's leading engineering and consultancy groups specialising in public transport and sustainable mobility. With over 10,300 employees, SYSTRA's mission is to design safe and sustainable transport solutions to bring people together, develop social inclusion and facilitate access to employment, education and leisure throughout the world.</div><div>
For 65 years, the Group has been working alongside cities and regions to contribute to their development by creating, improving and modernising their infrastructure and transport systems, throughout the life cycle of their projects. SYSTRA is involved from the earliest stages of design through to the testing, deployment and maintenance phases. The company provides all its services in over 80 countries worldwide and generates 74% of its turnover internationally. With its new services, SYSTRA supports its clients and partners in their digital, ecological and energy transition, in order to invent the mobility of tomorrow.</div>
Context:

We are looking for a proactive and detail-oriented ITS SME. The successful candidate will provide technical leadership and oversight for all aspects related to the design, integration, installation, and commissioning of intelligent transportation systems on the road upgrade and improvement project. This includes advanced traffic management, surveillance, and communications systems, ensuring the solutions comply with local and international standards and meet stakeholders&rsquo; requirements throughout the project lifecycle.This position is to be based at Riyadh, Saudi Arabia.
Missions/Main Duties:
<ul><li>Lead the ITS design and review process from feasibility through detailed design and construction.</li><li>
Advise on technical specifications, integration requirements, and tender documentation related to ITS.</li><li>
Conduct technical reviews of contractor and vendor ITS submittals and shop drawings.</li><li>
Supervise ITS installation, commissioning, and testing activities during construction.</li><li>
Coordinate with road, electrical, communication, and civil engineering teams for seamless system integration.</li><li>
Oversee ITS-related inspections, punch-lists, and acceptance testing during handover and DLP.</li><li>
Provide expert guidance on ITS maintenance requirements and training for client stakeholders.</li></ul>
Profile/Skills:
<ul><li>Bachelor&rsquo;s Degree (Master's preferred) in Electrical, Electronic, Systems Engineering, or a related field.</li><li>
Minimum 15 years of relevant ITS experience in major road or infrastructure projects.</li><li>
Deep knowledge of ITS devices and systems (e.g., VMS, CCTV, traffic control, sensors, communication networks).</li><li>
Familiarity with local Riyadh/Kingdom of Saudi Arabia and international ITS standards.</li><li>
Strong communication and stakeholder engagement skills.</li><li>
Must be a member of a Chartered Institution</li></ul>
:
<div>
Systra is an equal opportunities company; this position is open to all applicants.</div></div>

Intelligent Transportation System SME

Stanford University

The Department of Ophthalmology in the School of Medicine at Stanford University is launching an interdisciplinary Neuro-AI project dedicated to building a foundation model of the brain. This endeavor will involve multiple labs and faculty across the Stanford campus, including the Wu Tsai Neurosciences Institute, Stanford Bio-X, and the Human-Centered Artificial Intelligence Institute. Leveraging cutting-edge advances in electrophysiology and machine learning, this project aims to create a functional "digital twin" - a model that captures both the activity dynamics of the brain at cellular resolution and the intelligent behavior it generates, including perception, motor planning, learning, reasoning, and problem-solving. This ambitious initiative promises to offer unprecedented insights into the brain's algorithms of perception and cognition while serving as a key resource for aligning artificial intelligence models with human-like neural representations. As part of this project, we are seeking talented systems engineers with extensive experience in large scale data and compute clusters. As a Systems Engineer, you will be responsible for designing, deploying, and maintaining the compute infrastructure that supports our machine learning and data pipeline operations. This position promises a vibrant and cooperative atmosphere within the laboratories of Andreas Tolias ( ), Tirin Moore ( ) and other labs at Stanford University renowned for their expertise in perception, cognition, pioneering neural recording techniques, computational neuroscience, machine learning, and Neuro-AI research. Duties include: <ul><li> Design and develop complex and specialized equipment, instruments, or systems; coordinate detailed phases of work related to responsibility for part of a major project or for an entire project of moderate scope. </li><li> Develop technical and methodological solutions to complex engineering/scientific problems requiring independent analytical thinking and advanced knowledge. </li><li> Develop creative new or improved equipment, materials, technologies, processes, methods, or software important to the advancement of the field. </li><li> Contribute technical expertise, and perform basic research and development in support of programs/projects; act as advisor/consultant in area of specialty. </li><li> Contribute to portions of published articles or presentations; prepare and write reports; draft and prepare scientific papers. </li><li> Provide technical direction to other research staff, engineering associates, technicians, and/or students, as needed. </li><li> - Other duties may also be assigned </li></ul> What we offer: <ul><li> Work on a collaborative and uniquely positioned project spanning several disciplines, from neuroscience to artificial intelligence and engineering. </li><li> Work jointly with a vibrant team of researchers and scientists in a project dedicated to one mission, rooted in academia but inspired by science in industry. </li><li> Competitive salary and benefits. </li><li> Strong mentoring in career development. </li></ul> Application: In addition to completing the application, please send your CV and one page interest statement to: DESIRED QUALIFICATIONS: <ul><li> 3+ years of experience in designing, managing and running large-scale compute infrastructure in the context of machine learning </li><li> Experience with containerization technologies like Docker and orchestration platforms like Kubernetes or SLURM </li><li> Proficiency in scripting languages such as Python, Bash, or PowerShell </li><li> Strong knowledge of Linux/Unix systems administration </li><li> Ability to work effectively in a collaborative, multidisciplinary environment </li><li> Familiarity with modern distributed big data tools and pipelines such as Apache Spark, Arrow, Airflow, Delta Lake, or similar </li><li> Familiarity with machine learning frameworks like PyTorch or JAX </li><li> In-depth experience with cloud computing resources </li><li> Thorough knowledge of GPU-based HPCs in the context of machine learning. </li></ul> EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree and three years of relevant experience, or combination of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): <ul><li> Thorough knowledge of the principles of engineering and related natural sciences. </li><li> Demonstrated project management experience. </li></ul> CERTIFICATIONS & LICENSES: None PHYSICAL REQUIREMENTS : <ul><li> Frequently grasp lightly/fine manipulation, perform desk-based computer tasks, lift/carry/push/pull objects that weigh up to 10 pounds. </li><li> Occasionally stand/walk, sit, twist/bend/stoop/squat, grasp forcefully. </li><li> Rarely kneel/crawl, climb (ladders, scaffolds, or other), reach/work above shoulders, use a telephone, writing by hand, sort/file paperwork or parts, operate foot and/or hand controls, lift/carry/push/pull objects that weigh >40 pounds. </li></ul> - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: <ul><li> May be exposed to high voltage electricity, radiation or electromagnetic fields, lasers, noise > 80dB TWA, Allergens/Biohazards/Chemicals /Asbestos, confined spaces, working at heights ?10 feet, temperature extremes, heavy metals, unusual work hours or routine overtime and/or inclement weather. </li><li> May require travel. </li></ul> The expected pay range for this position is $126,810 to $151,461 annually. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. <img src="https://www.jobg8.com/Tracking.aspx?snYreeyfh7laxm24a959atA2EXWL5Ej6h" width="0" height="0" />

Machine Learning Systems Engineer (1 Year Fixed Term)

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