knowledge engineer

Reliance Industries Limited

<div>
 <strong>
  <strong>
   Job Accountabilities
   <br/>
   <br/>
  </strong>
 </strong>
 <em>
  To support/assist Subsea Intervention with the objective of Safely execution to ensure that the Job is carried out as per Procedure. Co-ordinate with Logistic/Spares /Base workshop Engineer to make available all intervention tooling for any planned &amp; Unplanned activities.
  <br/>
  <br/>
 </em>
 <strong>
  <strong>
   Job Accountabilities
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Assist in preparation and development Intervention procedure and acquire knowledge to perform the task independently
  </li>
  <li>
   Ensure correctness of VMIR issued with the Intervention procedure in-terms of torque values &amp; interface requirement
  </li>
  <li>
   Keep history of all Intervention activities along with time taken for the job completion
  </li>
  <li>
   Adhere to Intervention SOP and ensure all Lesson Learned related to continuous improvement of SOP are closed and up-to date;
  </li>
  <li>
   Participate in Design &amp; Safety Reviews, HAZOP, HASIDs, Risk Assessments etc.;
  </li>
  <li>
   Review to subsea trees and all ROV interfaces and systems available to carry out well intervention works and ensure fit for purpose interfaces
  </li>
  <li>
   Maintains a log of operations events, lessons learned reports, and deviation request
  </li>
  <li>
   Support ROV operated Valve movement &amp; Trouble shooting in the field
  </li>
  <li>
   Adherence to PTW/MOC system for carrying out Interventions
  </li>
  <li>
   Review of Standard Operating procedures / Work Instructions for Intervention, Standard Operating procedures
  </li>
  <li>
   Review SITs Procedure for ROV accessibility
  </li>
  <li>
   Participate in FEED &amp; Detail Engineering activities for upcoming Brown Field Projects from O&amp;M group.
  </li>
  <li>
   Participate in FEED/Engineering Study for all In-House project w.r.t new subsea equipment installation related to Subsea System modification/ repair/ operation/ inspection
  </li>
  <li>
   Participate in HAZID/HAZOP/RA for all Intervention &amp; Hardware Activities and implementation of mitigating measures /emergency actions assigned
  </li>
  <li>
   Support HSE with all required inputs from Intervention group such as RA / HAZID / HAZOP / Safety Observations / Meetings etc
  </li>
  <li>
   Support intervention activities for handing over and taking over the subsea assets to &amp; from Drilling &amp; Completion / Projects in safe manner
  </li>
  <li>
   Interface with all disciplines to obtain relevant data that may require Intervention inputs
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skill &amp; Competencies
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Key technical / functional competencies and skills required # Familiar with Subsea Intervention and Installation.
  </li>
  <li>
   Familiar with International codes &amp; standards, Lifting Analysis, Sea fastening, installation, Operations, Subsea Production System
  </li>
  <li>
   Familiar with FAT, SIT, and SAT.
  </li>
  <li>
   Familiar with Subsea Production System Installation &amp; Design.
  </li>
  <li>
   Knowledge of HAZOP / HAZID / RA and Risk Mgmt.
  </li>
  <li>
   Should have good Communication, Teaming &amp; Analytical skills and understanding of Planning &amp; Organization; Interpersonal relations; Technical Report writing
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Education Required
   <br/>
   <br/>
  </strong>
 </strong>
 Bachelor/Master#s Degree in engineering
 <br/>
 <br/>
 <strong>
  <strong>
   Experience Required
   <br/>
   <br/>
  </strong>
 </strong>
 3 to 5 years# experience in Oil &amp; Gas out of which 2 years in Subsea/Deepwater Maintenance activities
</div>


Engineer Intervention KG KKD

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections.
<br>
<br>
You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class.<br>
<br>
Key job responsibilities<br>
<ul><li>Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables
</li><li>Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches</li><li>Analyze and extract insights from large amounts of data
</li><li>Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language</li><li>Use modeling tools to bootstrap or test new AI functionalities
</li><li>Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models
</li></ul><br>
About the team<br>
Amazon strives to be the world&rsquo;s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Experience owning and executing language data collection projects, including guidelines, labelset and annotation workflow development</li><li>Master's or higher degree in a relevant field (Computational Linguistics or equivalent field with computational analysis)</li><li>2+ years experience in computational linguistics or language data processing or AI data creation</li><li>Experience with language data annotation systems and other forms of data markup</li><li>Proficient with scripting languages, such as Python</li><li>Experience working with speech, text, and multimodal data in multiple languages</li><li>Excellent communication, strong organizational skills and very detailed oriented</li><li>Comfortable working in a fast paced, highly collaborative, dynamic work environment</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>PhD in Computational Linguistics (or equivalent field with computational emphasis)</li><li>Expertise in bootstrapping AI data collections for quickly evolving requirements, including for complex agentic functions</li><li>Practical experience with Machine Learning and technical concepts such as APIs</li><li>Practical knowledge of version control, agile development, database queries and data analysis processes (SQL, R, Matlab, etc.)</li><li>Able to think creatively and possess strong analytical and problem solving skills</li></ul><br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Language Engineer, Artificial General Intelligence - Data Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections.
<br>
<br>
You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class.<br>
<br>
Key job responsibilities<br>
<ul><li>Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables
</li><li>Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches</li><li>Analyze and extract insights from large amounts of data
</li><li>Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language</li><li>Use modeling tools to bootstrap or test new AI functionalities
</li><li>Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models
</li></ul><br>
About the team<br>
Amazon strives to be the world&rsquo;s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Experience owning and executing language data collection projects, including guidelines, labelset and annotation workflow development</li><li>Master's or higher degree in a relevant field (Computational Linguistics or equivalent field with computational analysis)</li><li>2+ years experience in computational linguistics or language data processing or AI data creation</li><li>Experience with language data annotation systems and other forms of data markup</li><li>Proficient with scripting languages, such as Python</li><li>Experience working with speech, text, and multimodal data in multiple languages</li><li>Excellent communication, strong organizational skills and very detailed oriented</li><li>Comfortable working in a fast paced, highly collaborative, dynamic work environment</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>PhD in Computational Linguistics (or equivalent field with computational emphasis)</li><li>Expertise in bootstrapping AI data collections for quickly evolving requirements</li><li>Extensive experience working with speech, text, and multimodal data in multiple languages</li><li>Experience in data creation for complex agentic workflows</li><li>Practical experience with Machine Learning and technical concepts such as API</li><li>Practical knowledge of version control and agile development; familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.)</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $67,700/year in our lowest geographic market up to $151,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.
<br>
<br>
As an SDE on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS&rsquo;s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.<br>
<br>
<br>
<br>
Key job responsibilities<br>
<ul><li>Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency
</li><li>LLM Customization &amp; Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF)
</li><li>Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance
</li><li>Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutions<br>
</li></ul><br>
<br>
About the team<br>
ABOUT AWS:<br>
<br>
Diverse Experiences
<br>
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
Why AWS
<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Work/Life Balance
<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
<br>
Inclusive Team Culture
<br>
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.<br>
<br>
Mentorship and Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<br>
<br>
AWS Global Services<br>
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You&rsquo;ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Hands-on experience with deep learning and/or machine learning methods (e.g. for training, fine tuning, and inference)</li><li>Hands-on experience with generative AI technology</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>1+ years of programming with at least one software programming language experience</li><li>1+ years of experience hands-on experience with developing, deploying, or optimizing machine learning models using a recognized ML library or framework</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Machine Learning Engineer, Model Customization, Generative AI Innovation Center

Cloud Rexpo Pvt. Ltd.

<p><b>Location: Phase 7 Bajroa Town, Rawalpindi</b><br/><b>Shift: Day</b></p><p>Design, develop, and deploy AI/ML models and solutions to solve real-world problems. Collaborate with cross-functional teams to implement scalable, data-driven systems that improve business outcomes.</p><p><b>Key Responsibilities:</b></p><ul><li>Build, train, and optimize machine learning models for classification, prediction, and automation tasks.</li><li>Preprocess, clean, and analyze large datasets.</li><li>Integrate AI/ML solutions into production systems.</li><li>Monitor and improve model performance and accuracy.</li><li>Document workflows and present results to stakeholders.</li></ul><p><b>Qualifications:</b></p><ul><li>Bachelor&rsquo;s/Master&rsquo;s in Computer Science, AI, Data Science, or related field.</li><li>2&ndash;5 years&rsquo; experience in AI/ML model development and deployment.</li><li>Proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).</li><li>Strong understanding of data preprocessing, feature engineering, and model evaluation.</li><li>Excellent problem-solving and communication skills.</li></ul><p>Job Type: Full-time</p><p>Pay: Rs100,000.00 - Rs150,000.00 per month</p><p>Education:</p><ul><li>Master's (Required)</li></ul><p>Experience:</p><ul><li>AI/ML Model Development and Deployment: 3 years (Required)</li><li>Python and ML frameworks (TensorFlow, PyTorch, scikit-learn): 1 year (Required)</li></ul><p>Work Location: In person</p>

AI / ML Engineer (Mark-Level)

Larsen & Toubro

<div>
 <strong>
  Purchase Engineer - Machining
  <br/>
  <br/>
 </strong>
 A Purchase Engineer with machining knowledge responsible for procuring goods, services, and materials related to machining and manufacturing processes.
 <br/>
 <br/>
 <ul>
  <li>
   Educational Qualifications*
  </li>
  <li>
   Bachelor&rsquo;s degree in mechanical engineering, Manufacturing Engineering, or a related field. With 6 to 8 yrs of experience
  </li>
  <li>
   Diploma Engineering in Mechanical/Production with 10-12 yrs of experience.
  </li>
  <li>
   Technical Skills*
  </li>
  <li>
   Machining knowledge*: Familiarity with machining processes, such as turning, milling, drilling, and grinding.
  </li>
  <li>
   Manufacturing processes*: Understanding of manufacturing processes, including casting, forging, and welding.
  </li>
  <li>
   Process knowledge
  </li>
  <li>
   Product knowledge
  </li>
  <li>
   CNC operation knowledge
  </li>
  <li>
   Tooling Knowledge
  </li>
  <li>
   Basic knowledge of materials
  </li>
  <li>
   Machine tools (lathe, milling machine, drill press)
  </li>
  <li>
   Cutting tools (milling cutters, turning tools, drill bits)
  </li>
  <li>
   Measuring and inspection tools)
  </li>
  <li>
   Materials science: Basic Knowledge of various materials, including metals, alloys, etc.
  </li>
  <li>
   tooling Knowledge, various types of tools, for various processes
  </li>
  <li>
   Quality control: Understanding of quality control processes and standards, such as ISO 9001.
  </li>
  <li>
   Soft Skills*
  </li>
  <li>
   Communication: Excellent communication and negotiation skills to interact with suppliers, manufacturers, and internal stakeholders.
  </li>
  <li>
   Analytical skills: Ability to analyse data, identify trends, and make informed decisions.
  </li>
  <li>
   Problem-solving: Strong problem-solving skills to resolve issues related to procurement, quality, and delivery.
  </li>
  <li>
   Time management: Ability to prioritize tasks, manage multiple projects, and meet deadlines.
  </li>
  <li>
   Collaboration: Ability to work collaboratively with cross-functional teams, including engineering, manufacturing, and quality.
  </li>
  <li>
   Experience*
  </li>
  <li>
   Experience in procurement, purchasing, or supply chain management in a manufacturing or engineering environment.
  </li>
  <li>
   Machining industry experience: Experience working in the machining industry, either as a supervisor/manager, manufacturing engineer, or quality engineer will be added advantage.
  </li>
 </ul>
</div>


Purchase Engineer

RMA Metering Private Limited

<p>Looking for Embedded firmware Engineer (Background Electronics Engineer or Computer Engineer)</p><ul><li>Having extensive knowledge in embedded C/C++ language for microcontrollers and embedded platforms.</li></ul><ul><li>Hand on experience on RTOS for real-time application development, including low-level drivers&rsquo; integration or development and middleware components.</li></ul><ul><li>Interface with hardware components like Analog, digital IO, communication modules (Modbus, UART, I2C, SPI, CAN, USB, WiFi, GSM, BLE etc.), and other peripherals like timers etc.</li></ul><ul><li>Strong problem-solving and code debugging skills</li></ul><ul><li>Knowledge of hardware, work closely with hardware engineers to ensure seamless integration of software and hardware components.</li></ul><p>Job Type: Internship</p>

Embedded Software Engineer Intern

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

10000 knowledge engineer jobs NEAR_ME

Engineer Intervention KG KKD

Language Engineer, Artificial General Intelligence - Data Services

Language Engineer, Artificial General Intelligence - Data Services

Machine Learning Engineer, Model Customization, Generative AI Innovation Center

AI / ML Engineer (Mark-Level)

Purchase Engineer

Embedded Software Engineer Intern