knowledge engineer

S&P Global

<b>About the Role:</b><br>
<b>Grade Level (for internal use):</b> 10
<br><b>The Team :</b> The Foreseer team delivers digital transformation solutions for information extraction from structures and semi structured documents and websites. Foreseer is a human in the loop platform that combines latest AI/ML advances with a state-of-the-art UI for delivering multiple projects, all powered by a core distributed, cloud native, auto scalable framework. Team comprises of experts in Java and Python language and ML engineers.
<br><br>
Job Brief
<br>We are seeking a knowledge engineer to design, model, and maintain enterprise-scale knowledge graphs and semantic data structures. You will work with cross-functional teams to map heterogeneous data sources into RDF frameworks, ensuring that complex domain knowledge is represented accurately for AI-driven reasoning, advanced search, and discovery.
<br><br>
Responsibilities
<br>Design AI/ML applications.
<br>Use effective feature engineering to transform raw data into useful features
<br>Ontology Modelling - Design and implement formal ontologies using RDF, OWL, and SHACL to represent complex business entities and relationships.
<br>Knowledge Graph Construction - Build and maintain large-scale knowledge graphs from both structured and unstructured data sources.
<br>Semantic Data Integration - Map relational and tabular datasets into RDF triples using techniques like R2RML or RML.
<br>Querying & Management - Develop complex SPARQL queries to retrieve, transform, and manage semantic datasets.
<br>AI & LLM Integration - Integrate knowledge graphs into Generative AI (RAG) pipelines to reduce hallucinations and improve context-aware results.
<br>Governance & Standards - Establish and enforce standards for data quality, semantic consistency, and versioning of ontological models.
<br><br>
Requirements and Skills
<br>BS or MS degree in Computer Science or Information Technology or equivalent.
<br>6+ Years hands on experience in Python and related libraries.
<br><b>Expert knowledge of W3C Semantic Web standards:</b> RDF, RDFS, OWL, and SPARQL.
<br>Hands-on experience with ontology and RDF processing libraries such as RDFLib.
<br>Experience with Graph Databases (e.g., GraphDB)
<br>Expertise in RDF serialization formats like Turtle, JSON-LD, and RDF/XML.
<br>Ability to effectively write robust and testable code
<br>Hands on experience in leveraging language models for information retrieval.
<br>Experience in Containerization, cloud platforms, CI/CD, and deployments through CI/CD pipelines, and AWS services like S3, EKS, EC2 etc.
<br>Proficiency in the development environment, including IDE, web & application server, GIT, Azure DevOps, unit-testing tool and defect management tools
<br>Strong communication skills
<br>An analytical mind with problem-solving abilities
<br><br>
Nice to Have Skills
<br>Background in Natural Language Processing (NLP) for entity extraction and knowledge graph population.
<br>Familiarity with reasoners and validation standards like SHACL
<br>Experience in Agile and Scrum methodologies
<br><br>
What’s In It For You?
<br><br>
<b>Our Mission:</b><br>
Advancing Essential Intelligence.
<br><br>
<b>Our People:</b><br>
We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.
<br><br>
<b>Our Values:</b><br>
Integrity, Discovery, Partnership
<br><br>
Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
<br><br>
<b>Benefits:</b><br>
We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.
<br><br>
<b>Our benefits include:</b><br>
<b>Health & Wellness:</b> Health care coverage designed for the mind and body.
<br><br>
<b>Flexible Downtime:</b> Generous time off helps keep you energized for your time on.
<br><br>
<b>Continuous Learning:</b> Access a wealth of resources to grow your career and learn valuable new skills.
<br><br>
<b>Invest in Your Future:</b> Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
<br><br>
<b>Family Friendly Perks:</b> It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
<br><br>
<b>Beyond the Basics:</b> From retail discounts to referral incentive awards—small perks can make a big difference.
<br><b>For more information on benefits by country visit:</b> https://spgbenefits.com/benefit-summaries
<br><br>
<b>Global Hiring and Opportunity at S&P Global:</b><br>
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
<br><br>
<b>Recruitment Fraud Alert:</b><br>
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here .
<br><br>
-----------------------------------------------------------
<br><br>
Equal Opportunity Employer
<br>S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
<br><br>
If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
<br><br>
<b>US Candidates Only:</b> The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
<br><br>
----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)
<br><br>
<b>Job ID:</b> 325670
<br><b>Posted On:</b> 2026-02-21
<br><b>Location:</b> Gurgaon, Haryāna, India

Senior Knowledge Engineer

Siemens Healthineers

<div><div>Come and join our &ldquo;Graph &amp; Ontology Platforms&rdquo; team as a Platform Integration Developer. The &ldquo;Graph &amp; Ontology Platform&rdquo; is a central IT service within Siemens Healthineers that provides a platform for data and non-data scientists in our Business Units to analyze and learn from their data utilizing the power of graphs and semantic engineering.</div><div></div><div><br>
Our goal is to enable diverse use cases across all of Siemens Healthineers regardless of whether they utilize graphs for visualization, analytics, backends or as input for AI Systems. As part of the Center of Excellence for Data and AI, you will develop and integrate solutions for our enterprise graph platforms, including the Ontology platform, an upcoming extension to the Graph Ecosystem at Siemens Healthineers.</div><div></div><div><b><br>
Your tasks and responsibilities:
</b></div><div><ul><li>Develop and maintain connectors and integration components for the Knowledge Graph Platform
</li><li>Execute modifications to existing use cases in response to evolving business demands
</li><li>Integrate additional platform components
</li><li>Automate and optimize platform processes and pipelines, such as data ingestion workflows and onboarding procedures for new use cases
</li><li>Designing and documenting APIs to expose knowledge graph capabilities
</li><li>Implement Platform Architecture Plans on Kubernetes / Azure based system
</li><li>Monitor and enhance platform performance/scalability by optimizing queries, data retrieval mechanisms and existing solutions to ensure operational efficiency
</li><li>Design and implement Data Federation
</li><li>Develop and maintain documentation related to the platform, including architectural diagrams, technical specifications, and user guides/best practices
</li><li>Stay current with industry trends and best practices related to graph databases &amp; cloud computing and make recommendations for the adoption of new technologies and practices
</li><li>Collaboration with data architects, ontology engineers, and domain experts
</li></ul></div><div><b>Your qualifications and experience
</b></div><div><ul><li>You hold a bachelor's or master&rsquo;s degree in computer science, information technology, or related subjects
</li><li>You have 4 to 6 years of relevant professional experience as a (graph) database developer or similar
</li><li>Ability to communicate clearly and effectively on status, progress and risks</li><li>
Knowledge of data modeling, ontology design, and schema definition
</li><li>Familiarity with graph databases both RDF &amp; Property Graph, experience with Ontologies is appreciated
</li><li>Strong proficiency in one or more backend languages (e.g., Python, Java)
</li><li>Experience with API design and integration (REST, GraphQL, event-based systems/Kafka)
</li><li>Prior work with semantic web frameworks
</li><li>Working with knowledge graph technologies in production environments
</li><li>Proficiency in implementing architecture specifications, technical designs, and integration blueprints
</li><li>Practical experience implementing platform features based on architectural guidelines
</li><li>Demonstrated expertise in project-based software development, with a focus on delivering high-quality, scalable solutions
</li><li>Experience in setting up pipelines and designing scalable data ingestion pipelines and connectors
</li><li>Hands-on development of integrations between enterprise systems and Knowledge Graph/ontology platforms
</li><li>Experience designing and implementing system integrations at scale
</li><li>Background in data engineering, data integration, or platform development
</li><li>Experience in enterprise environments with complex data landscapes
</li><li>Knowledge of cloud platforms (Azure) and containerization (Docker, Kubernetes) &amp; and underlying technologies (Linux)
</li><li>Implementation of Networking component of platform (Azure, Port Forwarding, SSL etc.)
</li><li>Front-end development experience, particularly with frameworks such as React, is highly appreciated but not required
</li><li>Knowledge of enterprise industry best practices and standards regarding graph databases is a plus
</li></ul></div><div><b>Your attributes and skills:
</b></div><div><ul><li>You enjoy working in an international team with colleagues from Europe, Americas and Asia and speak fluent English. German and other languages are an advantage
</li><li>You are passionate about data and data application development
</li><li>You work in a structured and independent manner and have already proven that you can prioritize complex processes
</li><li>You ask, &lsquo;Why not?&rsquo; instead of &lsquo;Why?&rsquo;. You contribute with your innovative ideas to question our current status quo and to develop it further
</li><li>You have the willingness to learn new topics related to data and adapt quickly to technological changes
</li><li>You have excellent problem solving, analysis, communication, coordination and task management skills
</li><li>You have a solid understanding of semantic technologies (RDF, OWL, SPARQL)
</li><li>You have strong debugging, troubleshooting, and documentation skills
</li><li>You understand integration patterns, ETL pipelines, and data transformation
</li><li>You can manage multiple demands and projects simultaneously, prioritize tasks, and meet deadlines
</li><li>You have strong communication and collaboration skills and can communicate effectively with stakeholders, translate technical jargon into plain language, and build consensus around complex technical solutions</li></ul></div></div><div></div>

Ontology & Knowledge Graph Engineer

<div><div><b>We help the world run better</b><br>
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><p></p><p><b><br>
What you'll do</b></p><ul><li>
As a Data Engineer in the GCG Content Infrastructure &amp; Automation (CIA) team, you will:</li><li>
Lead the design and implementation of scalable data integration, transformation, and analytics solutions for GCG&rsquo;s Content Infrastructure, the Semantic Data Layer (SDL).</li><li>
Build robust ETL pipelines and automate data workflows leveraging Python and Kubernetes.</li><li>
Design and maintain data models for new data sources to be embedded within the GCG Knowledge Graph.</li><li>
Engage directly with stakeholders across functions and geographies to gather requirements and align technical delivery with strategic objectives.</li><li>
Act as a trusted advisor to project teams, mentoring developers, and promoting best practices in software design and delivery.</li><li>
Collaborate closely with SAP product teams, partners, and customers to continuously improve content ingestion, metadata modeling, and knowledge graph integration.</li></ul><p><b>
What you bring</b></p><ul><li>
1-4 years of overall experience in software development.</li><li>
Strong programming skills in Python, with practical experience developing ETL frameworks and automation tools.</li><li>
Experience with knowledge graphs, particularly the Resource Description Framework (RDF).</li><li>
Knowledge in pipeline engineering, particularly ETL processes.</li><li>
Knowledge of unit testing practices to ensure functionality and reliability.</li><li>
Excellent communication skills and a passion for technology, innovation, and team collaboration.</li><li>
Interest in academia (particularly data management and AI)</li><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Engineering, or a related field.</li></ul><p><b>
Meet your team</b></p><p>
We consolidate SAP business knowledge, build a Knowledge Graph, and deliver it via the EKX(ekx.cloud.sap) Signavio, and LeanIX. We are a global team of tech experts and researchers passionate about data management and AI innovation.</p><p>
#SAPInternalT1</p><p></p><div><b><br>
Bring out your best</b><br>
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
<br>
<br>
<b>We win with inclusion</b><br>
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.<br>
<br>
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.<br>
<br>
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.<br>
<br>
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.<br>
<br>
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div><b><br>
AI Usage in the Recruitment Process</b></div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div><p>Please note that any violation of these guidelines may result in disqualification from the hiring process.<br>
<br>
Requisition ID: 446225 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Graduate | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</p></div>

Associate Data Engineer - Data Engineer - Python/ Knowledge Graph

Mowasalat Qatar

<div>
 <p>
  <strong>
   Job Summary
  </strong>
 </p>
 <p>
  The Machine Learning Engineer is responsible for designing, developing, and deploying machine learning models and data‑driven solutions to support Mowasalat&rsquo;s business optimization and digital transformation initiatives. The role focuses on translating complex data into actionable insights, collaborating with cross‑functional teams, and ensuring scalable, reliable, and high‑performing machine learning solutions that drive operational and strategic value.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Main Responsibilities
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Machine Learning Model Development &amp; Deployment
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, test, and deploy machine learning models using supervised, unsupervised, and reinforcement learning techniques.
  </li>
  <li>
   Perform exploratory data analysis, feature engineering, and model tuning to improve accuracy, reliability, and scalability.
  </li>
  <li>
   Continuously evaluate and refine models to ensure optimal performance and alignment with business objectives.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data Pipeline Management
  </strong>
 </p>
 <ul>
  <li>
   Collaborate with data engineers to design, implement, and maintain data pipelines for model training and deployment.
  </li>
  <li>
   Ensure data quality, integrity, security, and availability across all machine learning workflows.
  </li>
  <li>
   Troubleshoot data pipeline issues and optimize data flow for efficient model operations.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Model Evaluation &amp; Performance Monitoring
  </strong>
 </p>
 <ul>
  <li>
   Conduct comprehensive model validation, testing, and performance evaluation.
  </li>
  <li>
   Monitor deployed models for performance degradation or data drift and implement corrective actions as required.
  </li>
  <li>
   Measure and report the impact of machine learning solutions on business outcomes.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Stakeholder Collaboration &amp; Business Alignment
  </strong>
 </p>
 <ul>
  <li>
   Work closely with business stakeholders to understand requirements and translate them into data‑driven solutions.
  </li>
  <li>
   Communicate complex technical concepts and analytical findings to non‑technical audiences in a clear and effective manner.
  </li>
  <li>
   Collaborate with cross‑functional teams to integrate machine learning solutions into business operations and ensure adoption.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Innovation &amp; Continuous Improvement
  </strong>
 </p>
 <ul>
  <li>
   Stay up to date with emerging machine learning technologies, tools, and industry best practices.
  </li>
  <li>
   Research and evaluate new techniques, frameworks, and methodologies to drive innovation and enhance solution effectiveness.
  </li>
  <li>
   Support continuous improvement initiatives within data science and AI capabilities.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Qualifications, Certificates &amp; Skills
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Mathematics, Statistics, or a related field.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Experience
  </strong>
 </p>
 <ul>
  <li>
   Minimum
   <strong>
    6&ndash;8 years
   </strong>
   of experience in machine learning, data science, or a related field.
  </li>
  <li>
   Preferably with experience in the
   <strong>
    transportation sector
   </strong>
   .
  </li>
  <li>
   <strong>
    2&ndash;3 years of GCC experience
   </strong>
   in a similar or equivalent role within a reputed organization.
  </li>
  <li>
   Proven experience in developing and deploying machine learning models in production environments.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Certifications &amp; Training
   <em>
    (Preferred)
   </em>
  </strong>
 </p>
 <ul>
  <li>
   Certified Machine Learning Engineer (CMLE)
  </li>
  <li>
   TensorFlow Developer Certificate
  </li>
  <li>
   Certified Data Scientist (CDS) or equivalent
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skills
  </strong>
 </p>
 <ul>
  <li>
   Machine Learning Algorithms &amp; Model Development
  </li>
  <li>
   Programming Languages:
   <strong>
    Python, R, or Julia
   </strong>
  </li>
  <li>
   ML Frameworks:
   <strong>
    TensorFlow, PyTorch, Scikit‑learn
   </strong>
  </li>
  <li>
   Data Analysis &amp; Visualization:
   <strong>
    Pandas, NumPy, Matplotlib, Seaborn
   </strong>
  </li>
  <li>
   Data Pipeline &amp; Model Deployment
  </li>
  <li>
   Cloud Platforms:
   <strong>
    AWS, Azure, or Google Cloud
   </strong>
  </li>
  <li>
   Analytical Thinking &amp; Problem‑Solving
  </li>
  <li>
   Communication &amp; Stakeholder Collaboration
  </li>
 </ul>
 <p>
 </p>
</div>


Machine Learning Engineer - Qatarization

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are seeking a skilled Machine Learning Engineer to develop and deploy Graph Neural Network (GNN) based surrogate models that approximate complex physics simulations for oil &amp; gas pipeline and well networks. This is a hands-on role for someone who can build high-fidelity neural network models that replace computationally expensive reservoir and network simulators (Nexus, Prosper).
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Design and implement Neural Network architectures to model flow dynamics in interconnected pipeline networks
</p></div><div><p>Build surrogate models that accurately predict pressure distributions, flow rates, and network behavior under varying operational scenarios (training data is acquired through running simulations of the physics models)
</p></div><div><p>Create data pipelines to extract network topology and simulation results from physics-based models (Nexus/Prosper) and transform them into graph representations
</p></div><div><p>Develop training frameworks that incorporate physics constraints (conservation laws, pressure-flow relationships) into neural network loss functions
</p></div><div><p>Collaborate with petroleum engineers to ensure model predictions align with physical behavior and operational constraints
</p></div><div><p>Implement model monitoring, validation, and continuous improvement workflows
</p></div><div><p>Business trip to Kuwait for first 6-12 months. On-site
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Strong expertise in Graph Neural Networks (GCN, GraphSAGE, Message Passing Networks) with proven implementation experience
</p></div><div><p>Deep understanding of deep learning frameworks (PyTorch Geometric, DGL, or TensorFlow GNN)
</p></div><div><p>Experience building surrogate models or physics-informed neural networks (PINNs) for engineering applications
</p></div><div><p>Proficiency in Python and scientific computing libraries (NumPy, SciPy, Pandas)
</p></div><div><p>Demonstrated ability to work with complex data structures (graphs, time-series, spatial data)
</p></div><div><p>Understanding of optimization techniques and handling large-scale training data
</p></div><div><p>Technical Domain Knowledge:
</p></div><div><p>Understanding of graph theory and network analysis
</p></div><div><p>Experience with data structures and graph representations (adjacency matrices, edge lists, sparse tensors)
</p></div><div><p>Knowledge of hyperparameter tuning, model building and uncertainty quantification in ML models
</p></div><div><p>Ready for a long term business trip to Kuwait for first 6-12 months
</p></div></div><p>Nice to have
</p><div><div><p>Background in petroleum engineering, process engineering, or fluid dynamics
</p></div><div><p>Familiarity with reservoir simulation or pipeline hydraulics
</p></div><div><p>Experience with MLOps practices and model lifecycle management
</p></div><div><p>Publications or open-source contributions in graph ML
</p></div><div><p>Experience deploying ML models in production cloud environments (containerization, API development)
</p></div><div><p>Industry Experience:
</p></div><div><p>Oil &amp; gas industry experience is a strong plus, However, candidates with relevant surrogate modeling experience from other engineering domains encouraged to apply
</p></div><div><p>Educational Background:
</p></div><div><p>MS/PhD in Computer Science, Computational Engineering, Applied Mathematics, or related field preferred
</p></div><div><p>Strong mathematical foundation in linear algebra, graph theory, and numerical methods
</p></div><div><p>Understanding of graph theory and network analysis
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>Remote Egypt, Egypt
</p></div><p>Req. VR-118735
</p></div><div></div><div><div><p>AI/ML
</p></div><div><p>Cross Industry Solutions</p>
</div><div><p>03/03/2026
</p></div><div><p>Req. VR-118735</p></div></div></div><p></p>

Machine Learning Engineer (onsite work in Kuwait)

Point72

<div><div><div><p><b>EXPERIENCE</b></p>
<div>Experienced Professionals</div>
</div><div><p><b>LOCATION</b></p>
<div>Bengaluru, India</div>
</div><div><p><b>FOCUS</b></p>
<div>Software &amp; System Engineering</div>
</div><div><p><b>BUSINESS</b></p>
<div>Point72</div></div></div></div>
<br><div><h3 class="jobSectionHeader"><b>A Career with Point72&rsquo;s Technology Team</b></h3>
<p>
As Point72 reimagines the future of investing, our Technology group is constantly improving our company&rsquo;s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We&rsquo;re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity.</p><h3 class="jobSectionHeader"><b><br>
What you&rsquo;ll do</b></h3>
<ul><li>Develop and maintain scalable AI/ML architectures and systems.</li><li>Collaborate with data scientists, engineers, product teams, and compliance to integrate AI/ML solutions into existing and new products.</li><li>Evaluate tools, technologies, and processes to ensure the highest quality and performance of AI/ML systems.</li><li>Stay abreast of the latest advancements in AI/ML technologies and methodologies.</li><li>Ensure compliance with industry standards and best practices in AI/ML.</li></ul><h3 class="jobSectionHeader"><b><br>
What&rsquo;s required</b></h3>
<ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field.</li><li>3-7 years of experience in AI/ML engineering, with a proven track record of successful project delivery.</li><li>Strong expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit- learn).</li><li>Proficiency in programming languages such as Python, Java, or C++.</li><li>Excellent problem-solving skills and the ability to work independently and collaboratively.</li><li>Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.</li><li>Commitment to highest ethical standards.</li></ul><br>
<h3 class="jobSectionHeader"><b>
About Point72</b></h3>
<p>
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry&rsquo;s brightest talent by cultivating an investor-led culture and committing to our people&rsquo;s long-term growth. For more information, visit <b>www.Point72.com/about</b>.</p></div>

Machine Learning Engineer, GenAI Technology

3rd Eye Allied Services llp

<p><b>Requirement:</b></p><p>Electrical Engineer</p><p><b>Job location:</b></p><p>Sanand (GIDC), Ahmedabad, Gujarat.</p><p><b>Experience:</b></p><p>1 to 5years&rsquo; experience required specially in GIS and/or High Voltage Switchgear, Electrical &amp; Mechanical design and Electrical Equipment</p><p><b>Engineer Experience Requirements:</b></p><p>The experience requirements for an electrical engineer or Mechanical Engineering depend upon the organisation, industry and scope of the role. Generally, electrical engineer candidates may need 1 to 3 years of experience working in a role like junior electrical engineer. Senior-level electrical engineer roles may require at least 1 year of experience. Additionally, organisations may also need electrical engineer candidates to have experience in areas like circuit design, power generation and distribution. For certain project-oriented roles, organisations may prefer candidates with experience managing projects, engineering design and equipment installation.</p><p>An Electrical Engineer, or Power Engineer, is a professional who designs, develops and maintains electrical systems and equipment. Their duties include designing, installing and testing electrical products and systems, troubleshooting power system problems and ensuring that the systems comply with safety and quality standards.</p><p><b>Duties and Responsibilities:</b></p><p>An engineer has to perform various tasks while working on projects related to digital systems, signal processing and power systems. Here are some of the duties and responsibilities of an electrical engineer:</p><ul><li><b>GIS Installation and its quality control and testing of GIS Equipment</b></li><li>Designing and testing electrical systems and components</li><li>Conducting testing to ensure the systems and components meet safety standards</li><li>Troubleshooting and resolving technical issues while implementing and maintaining electrical systems</li><li>Documenting testing activities and specifications of electrical components and systems</li><li>Staying updated about new technologies, industry standards and regulations</li><li>Training junior engineers and technicians.</li></ul><p><b>Engineer Skills and Qualifications:</b></p><p>A successful electrical or Mechanical engineer should have various pre-requisite skills and qualifications to perform their role effectively. Here are some of them:</p><ul><li><b>Knowledge of Gas insulated switchgear installation and its design engineering</b></li><li><b>Ability in GIS equipment installation and its testing</b></li><li>Knowledge of electrical engineering fundamentals and practices</li><li>Ability to draft and design plans and schematics</li><li>Strong analytical and problem-solving skills</li><li>Technical project management skills and experience</li><li>Excellent communication skills and English is mandatory</li><li>Ability to design and test electrical systems</li><li>Knowledge of the latest trends and technologies in GIS.</li></ul><p>Job Type: Full-time</p><p>Pay: ₹250,000.00 - ₹350,000.00 per year</p><p>Application Question(s):</p><ul><li>current ctc and expected ctc</li></ul><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Work Location: In person</p>

Electrical Engineer

Search 10000+ Knowledge engineer jobs near you this March. New roles added regularly across leading industries. Apply today.