knowledge engineer

MESI Group

We are looking for IT colleagues who are passionate about generative AI and machine learning, while maintaining a practical perspective on its application. You understand both the technological possibilities and limitations, and can distinguish hype from value.As an AI Engineer, you listen to users, build intelligent solutions, and clearly explain what AI can achieve. You quickly see how LLMs and machine learning can make a difference &mdash; from document processing and content generation to systems that support customers.Building a safe and usable AI application is not trivial.Key Responsibilities:<ul><li>Working with advanced technologies: Python, PyTorch, TensorFlow, Transformers (GPT), MS Copilot, High Performance Computing, Claude, Gemini, LLaMA, and more.</li></ul><ul><li>Researching how AI can be applied in a desirable, feasible, and safe manner within business processes, maintaining active and transparent dialogue with all stakeholders.</li></ul><ul><li>Collaborating with IT teams and other stakeholders to identify and implement LLM-driven solutions for business processes (e.g., intelligent chatbots, summarizing specialized documents, automated reporting).</li></ul><ul><li>Developing, training, optimizing, and managing neural networks and other machine learning models, both in the cloud and on on-premise HPC infrastructure.</li></ul><ul><li>Ensuring compliance with data protection and privacy regulations (e.g., GDPR) and ethical AI principles (EU AI Act).</li></ul><ul><li>Staying up to date with the latest developments in LLMs, Generative AI, and MLOps practices to guide infrastructure and service development</li></ul>Requirements:<ul><li>Master&rsquo;s degree in Artificial Intelligence, Data Science, Computer Science, or a related field, or equivalent experience.</li></ul><ul><li>Preferably 5 years of professional ICT experience with broad and deep knowledge of AI technologies, machine learning, and data analysis.</li></ul><ul><li>Practical experience implementing and managing LLMs (e.g., BERT, GPT, LLaMA) in production environments.</li></ul><ul><li>Skilled in MLOps tools (e.g., Kafka, MLflow, Kubeflow, Airflow) or willing to learn them.</li></ul><ul><li>Experience with on-premise infrastructure, including containerization (e.g., Docker, Kubernetes) and hardware optimization (e.g., GPU clusters).</li></ul><ul><li>Knowledge of CI/CD pipelines and version control systems (e.g., Jenkins, Git).</li></ul><ul><li>Strong understanding of data protection, privacy, and ethical AI considerations</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Current Salary?</li><li>Expected Salary?</li><li>When can you join?</li><li>Portfolio Links</li></ul>Work Location: In person

Generative AI & ML Expert

Gainwell Technologies LLC

<div>Summary 
Gainwell Technologies is seeking a highly skilled AI and GEN AI Engineer to design, develop, and deploy advanced AI and Generative AI (Gen AI) solutions, across our healthcare technology platforms. This role involves building and optimizing AI and GEN AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards. 
Role Description<div> 
 
<ul><li>Development based on AI/ GEN AI&ndash; Design, build, and train machine learning, deep learning, time series models, Gen AI (Multi modal LLMs), predictive analytics, Natural Language Processing, Image Processing solutions for healthcare applications.</li><li>Experienced in multiple LLM fine tuning techniques.</li><li>Experienced in building GEN AI solutions using RAG architecture.</li><li>Skilled in both Lang Chain and Lang Graph.</li><li>Experience in Agentic AI Frameworks and Workflow using Lang Chain, Lang Graph or Crew AI or Open AI Swarm.</li><li>Experienced in multiple Vector Databases as well as Graph Database</li><li>Skilled in Agentic AI Framework and has built at least one solution using Agentic AI.</li><li>End-to-End AI Solution Deployment &ndash; Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact.</li><li>Data Processing &ndash; Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards.</li><li>System Integration &ndash; Skilled in API development and integrations.</li></ul>
 Implement and optimize AI models within Gain well&rsquo;s existing technology stack, collaborating with software engineers to ensure seamless integration. 
<ul><li>Experienced in ML Ops and LLM Ops. Experienced in evaluating models and continuous performance monitoring of both ML/DL and LLMs. Experienced in applying security measures in GEN AI solutions, implementing guard rails.</li><li>Performance Optimization &ndash; Continuously monitor, refine, and optimize AI / GEN AI models for accuracy, efficiency, and speed, leveraging ML Ops and LLM Ops best practices.</li><li>AI Research &amp; Innovation &ndash; Stay updated with the latest AI/ML/ GEN AI advancements, exploring new technologies and methodologies to enhance solution effectiveness.</li><li>Compliance &amp; Security &ndash; Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards.</li><li>Automation &amp; Workflow Enhancement &ndash; Identify opportunities to automate workflows and optimize business processes using AI-driven solutions.</li><li>Front End Development &ndash; Streamlit is a must. Good to have React, Angular or Vue.js</li></ul></div> 
What We&rsquo;re Looking For<div><ul><li> 
Bachelor or Master&rsquo;s or higher in Computer Science, AI, Data Science, Engineering or a related field.</li><li>3+ years to 7 years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions.</li><li>Hands-on expertise in machine learning, deep learning, Gen AI (multi modal LLMs), NLP, and computer vision.</li><li>Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks.</li><li>Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency.</li><li>Experience with cloud platforms (AWS, Azure, or GCP) and MLOps for scalable AI deployments.</li><li>Proficiency in working with big data technologies (Spark, Hadoop, SQL, NoSQL databases).</li><li>Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions.</li><li>Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus.</li></ul></div> 
What You Should Expect in This Role<div><ul><li> 
Fully Remote Opportunity &ndash; Work from anywhere in India.</li><li>Minimal Travel Required &ndash; Occasional travel opportunities (0-10%).</li><li>Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment.</li></ul></div></div>

Data Science AI Engineer, Professional 1

Swiggy

<div>Job Profile: Machine Learning Engineer: I
Location: Bangalore | Karnataka
Years of Experience: 1 - 3 
Position Overview:
You will be part of Swiggy&rsquo;s Machine Learning Platform team, building the foundations that power large-scale prediction systems such as ETA, pricing, and demand forecasting.
This role combines applied modeling, data science, and engineering rigor &mdash; enabling models to be not just accurate in research but reliable, explainable, and production-ready at scale. 
What qualities are we looking for?<ul><li>
Strong grasp of machine learning fundamentals &mdash; supervised learning, regularization, validation strategies, and performance metrics.</li><li>
Working understanding of statistics and data analysis, including variance, bias, correlation, and uncertainty.</li><li>
Proficiency in Python and numerical computing; ability to reason about algorithms and data flow.</li><li>
Clear, reproducible coding style and comfort handling large-scale structured data.</li><li>
Collaborative and analytical mindset with curiosity to understand why models behave the way they do.</li><li>
Exposure to distributed data systems or ML pipelines (e.g., batch and real-time).</li><li>
1&ndash;4 years of experience in applied ML, data science, or software engineering (scope calibrated to level).</li><li>
Enthusiasm for building practical, explainable, and scalable ML systems that make measurable impact.</li><li>
Prior experience developing or deploying ML models in production environments.</li></ul> 
What will you get to do here?<ul><li>
Contribute to the design, training, and evaluation of ML models with a focus on reproducibility, stability, and generalization.</li><li>
Build and maintain scalable pipelines for model training, validation, and deployment.</li><li>
Apply sound statistical reasoning to assess data quality, feature behavior, and model diagnostics.</li><li>
Collaborate with scientists and engineers to translate analytical insights into robust ML components.</li><li>
Support the continuous monitoring and improvement of model performance over time.</li><li>
Champion good ML practices &mdash; controlled experiments, documentation, and interpretability.</li></ul> 
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, disability status, or any other characteristic protected by the law.</div>

Machine Learning Engineer I View Jobs

eBay

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 
 
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 
 
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 
 About Team And Role
 
 
 
 We&rsquo;re building the future of eCommerce product discovery, and we need a data-driven, AI-savvy problem solver to help us, do it.
 
 
 This is a unique role at the intersection of data analytics, AI/ML model evaluation, and prompt engineering&mdash;ideal for someone who is just as comfortable writing SQL queries and Python scripts as they are experimenting with LLMs to build analytical solutions.
 
 
 You&rsquo;ll be embedded in the Product Knowledge org, shaping how we structure and optimize taxonomy, ontology, and catalog data for next-gen search, recommendations, and AI-driven experiences.
 
 
 This is a high-agency, startup-style role&mdash;if you thrive in fast-moving, product-focused environments and love working closely with AI/ML, Product, and Engineering teams, this is for you.
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Analyze &amp; Optimize eCommerce Product Data &ndash; Run deep SQL &amp; Python analyses to find opportunities in taxonomy, ontology, and structured data for search &amp; discovery improvements.
 </li>
 <li>
 Leverage LLMs for Analytical Solutions &ndash; Use prompt engineering techniques to create AI-driven approaches for taxonomy validation, data enrichment, and classification.
 </li>
 <li>
 Evaluate &amp; Improve AI/ML Models &ndash; Develop systematic evaluation frameworks for product knowledge models, embeddings, and semantic search solutions.
 </li>
 <li>
 Drive Insights &amp; Strategy &ndash; Use data-driven storytelling to influence product and AI teams, helping shape decisions on catalog optimization, entity resolution, and knowledge graph development.
 </li>
 <li>
 Integrate with AI/ML Teams &ndash; Work closely with data scientists and engineers to test and refine AI-based classification, search ranking, and recommendation models.
 </li>
 <li>
 Prototype and Experiment &ndash; Move fast, test hypotheses, and build quick experiments to validate structured data strategies and AI-driven discovery improvements.
 
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 4 Years experience in analytics, data science role
 </li>
 <li>
 Strong Data &amp; Analytics Skills &ndash; Proficiency in SQL &amp; Python for data wrangling, analytics, and automation.
 </li>
 <li>
 Product Analytics Attitude &ndash; Familiarity with eCommerce search, recommendations, and knowledge graph applications
 </li>
 <li>
 Strong Communication &ndash; Ability to turn complex findings into actionable recommendations for Product, AI, and Engineering teams.
 </li>
 <li>
 AI/LLM Experience &ndash; Hands-on experience with LLMs, prompt engineering, and retrieval-augmented generation (RAG) for AI-powered insights (Preferred)
 </li>
 <li>
 Model Evaluation Know-How &ndash; Ability to define metrics and evaluation frameworks for assessing ML-driven taxonomy and classification models..
 </li>
 <li>
 Startup DNA &ndash; High agency, thrive in fast-paced, iterative environments with deep cross-functional collaboration.
 
 
 
 </li>
 </ul>
 Why Join Us?
 
 
 <ul>
 <li>
 Build the AI-powered future of eCommerce product discovery.
 </li>
 <li>
 Move fast &amp; own impactful projects in a startup-like, high-agency culture.
 </li>
 <li>
 Work directly with AI, Data Science, and Product teams to shape taxonomy &amp; ontology strategies.
 </li>
 <li>
 Get hands-on with AI/ML in a real-world, high-scale environment.
 
 
 
 </li>
 </ul>
 Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
 
 
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 
 
 The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
</div>

Data Scientist, Knowledge Management

Speechmatics Limited

Speechmatics is a cutting-edge applied AI Research company that is breaking down cultural barriers by building diverse and inclusive speech technology. We are looking for an experienced Machine Learning Engineer who can help us advance our automatic speech recognition (ASR) engines for Flow, our new Conversational AI companion and create interactive voice interfaces of the future that 'Understand Every Voice'.We are betting big on scaling models, so you will be working withmillions of hours of audio and billion parameter modelswhich train across dozens of GPUs. It's all about finding bottlenecks across our 50+ languages.Our main research focuses arelarge-scale self-supervised learning, building state-of-the-art speech pipelines and breaking ground on our own emotive text-to-speech (TTS) models.What you'll be doing<ul><li>Working with a diverse group of engineers across Speechmatics.</li><li>Scaling self-supervised learning models across hundreds of GPUs in the cloud.</li><li>Experimenting with distillation or quantisation to speed up our models at runtime.</li><li>Comparing compute efficiencies of architectures such as a transformer and the impact on WER.</li><li>Developing new, state-of-the-art AI features, from training models, all the way to shipping it to production.</li><li>Advancing end-to-end speech models and researching new approaches to TTS.</li></ul>We aim to get you onboarded and started on projects in your first few days. In addition, having a very collaborative culture, you will often be pair programming with a colleague on streamlining our production ML pipelines, reviewing other folks' code and suggesting new ways to tackle a tough real time factor (RTF) optimisation problem, as well as brainstorming novel approaches for analysing model predictions with the team.You'll want to join our team if you<ul><li>Ambitious Engineers keen to work on bleeding-edge speech recognition and representational learning.</li><li>Experience owning areas of code, seeking alignment rather than guidance.</li><li>Proven-track record of delivering results, moving fast and keeping things simple.</li><li>Someone who loves working in collaborative and diverse teams.</li><li>Has a growth mindset and loves to develop oneself and others.</li><li>Enjoys solving challenging problems and optimising a stack of unfamiliar code.</li></ul>We encourage you to apply even if you do not feel you match all of the requirements exactly. The list of requirements is intended to show the kinds of experience and qualities we're looking for, but it is not exhaustive. If you are interested in the role, the team, and our mission, we would love to consider your application. We are always open to conversations and look forward to hearing from you.Who we are:Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology can integrate into our customers stack irrespective of their industry or use case - making it the go-to solution to harness useful information from speech.Joining us means working with some of the smartest minds around the world, focused on cutting-edge projects and deploying the latest techniques to disrupt the market. We believe in putting people first; we'll do all we can to help you develop your skills and give you the tools you need to thrive. Our Focus Fridays give you an undisturbed day of focus, offset with Together Tuesdays when we have our team meetings, so you've always got the right balance.We have structured a hybrid approach that includes 2-3 designated office days each week. This arrangement ensures that while we embrace the advantages of remote work, we also maintain the vital connection and synergy that only in-person interactions can foster.This is only the beginning; we're looking for amazing people like you to continue our journey What we can offer you: No matter what stage of your career you're at - from paid internships and first-job opportunities through to management and senior positions - we'll support you with the training and development needed to reach your career aspirations with us. There really is no shortage of opportunities here for you to get involved and collaborate with those around you to deliver your best work.We offer incredibly flexible working, regular company lunches, and birthday celebrations. But that's not all. We've spoken to our teams to find out what they want. From Private Medical, and Dental for you and your family, through to global working opportunities, a generous holiday allowance and pension/401K matching, we want to make sure our employees and their families are looked after. Every employee will receive a working from home allowance for tech or home office equipment (on top of your choice of laptop and accessories of course). Our approach to parental leave is designed to support employees globally. While this varies by geo, we have support in place for parents (including adoption assistance and reproductive health services) to ensure they have the time and financial resources needed to care for their growing families.At Speechmatics, our mission is simple: Understand Every Voice out there.That's not just about our tech - it's the heart and soul of who we are.We welcome different experiences, viewpoints, and identities. For us, it's not just the right thing to do; it's our catalyst for sparking innovation and creativity. Our teams thrive in an environment that celebrates and supports everyone - no matter their gender, identity or expression, race, disability, age, sexual orientation, religion, belief, marital status, national origin, veteran status, pregnancy, or maternity status.But we don't just open the door to diversity - we actively welcome it. Why? Because we believe every unique voice adds something special to our team, leading us to smarter solutions and a better workplace.So, come as you are and join our Speechling community. We're building a place where every voice not only gets heard but is also respected and valued. We rely on legitimate interest as a legal basis for processing personal information under the GDPR for purposes of recruitment and applications for employment. Create a Job AlertInterested in building your career at Speechmatics? Get future opportunities sent straight to your email. Apply for this job indicates a required fieldFirst Name Last Name Email Phone Resume/CV Enter manuallyAccepted file types: pdf, doc, docx, txt, rtfEnter manuallyAccepted file types: pdf, doc, docx, txt, rtfLinkedIn ProfileHow did you hear about us? Select Are you authorised to work in the country where this job is located? Select Have you worked for Speechmatics in the past? Select Are you currently a Speechmatics employee? Select Would you like to make us aware of any adjustments needed for your interview process? Demographic Questions (Europe) We want to make Speechmatics a place where everyone can do their best work, by bringing together diversity of thought and experience and creating an inclusive environment where our people can thrive. Therefore, we would like you to complete these optional questions. Answers are anonymous and not linked to you or your application in anyway. The information you decide to submit will not affect your application but will help us to understand how we are doing when attracting talent. We are an equal opportunity employer and value people of all identities and backgrounds at our company.How old are you? Select What is your gender identity? Select Do you identify as trans? Select What is your ethnicity? Select How would you describe your sexual orientation? Select Do you consider yourself to have a long-term health condition, impairment or disability? Select <img src="https://www.jobg8.com/Tracking.aspx?CY95c1eotczLMmEzMuCTbagmOrNCCgvbd" width="0" height="0" />

Machine Learning Engineer London, England, United Kingdom

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</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.
 
 
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. 
 
Key job responsibilities 
<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> 
About the team 
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">
BASIC QUALIFICATIONS</h2><ul><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">
PREFERRED QUALIFICATIONS</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</li><li>Familiarity with technical concepts such as APIs</li><li>Practical knowledge of version control and agile development</li><li>Familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.)</li><li>Willingness to support several projects at one time, and to accept reprioritization as necessary</li><li>Able to think creatively and possess strong analytical and problem solving skills</li></ul> 
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

Corriculo Ltd

Process Engineer, Nuclear, COR7365 An exciting opportunity has become available for a Process Engineer to join a pioneering organisation within the Nuclear industry. The Process Engineer will use knowledge from working commercially as a Process Engineer, Chemical Engineer or Design Engineer, to provide specialist design services to both internal and external customers, and to produce design deliverables, contributing to the design of systems and equipment. The Process Engineer will need to be eligible for SC Clearance. The Company The Process Engineer will join a leading organisation in the Nuclear industry and will contribute to a supportive and collaborative team environment, which rewards hard work and innovative thinking. Benefits Some of the benefits on offer for the Process Engineer, include: <ul> <li>33 days annual leave, including Bank Holidays</li><li>12.5% Pension</li><li>Private Medical</li><li>Discretionary bonus </li></ul> What's required of the Process Engineer? <ul> <li>A relevant engineering degree, ideally Chemical Engineering</li><li>Solid commercial experience as a Process Engineer, Chemical Engineer or Design Engineer, with prior experience / knowledge within the Nuclear sector highly desirable</li><li>Experienced in supporting the production & development of process discipline documents</li><li>Experience of delivering projects for Sellafield or AWE sites is highly advantageous</li></ul> So What's Next? If you are a Process Engineer looking for your next technical challenge, and would like to know more about this excellent opportunity; apply now for immediate consideration! Process Engineer, Nuclear, COR7365 Corriculo Ltd acts as an employment agency and an employment business. <img src="https://www.jobg8.com/Tracking.aspx?5%2fCr%2bwDfc%2blQjKurskI7nsrRs5LJ3c1di" width="0" height="0" />

Process Engineer, Nuclear, COR7365

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