learning engineer

AdmeeSync

Job Title 1 : Machine Learning Engineer (Image Modality)Experience: 2 &ndash; 4 YearsCollaboration Duration: 6 MonthsEngagement Mode: RemoteBudget: 30,000 - 40,000Timezone: IndiaPosition OverviewWe are seeking a highly motivated and experienced Machine Learning Engineer with a strong focus on image modality to design, develop, and deploy advanced machine learning and deep learning solutions for image-based applications. The role involves contributing across the full ML lifecycle, from data preprocessing to production deployment, while collaborating with cross-functional teams.Key Responsibilities- Design, develop, and deploy machine learning and deep learning models for image-based tasks such as classification, object detection, segmentation, super-resolution, and image generation.- Build and maintain robust image preprocessing and data augmentation pipelines for diverse datasets.- Implement and fine-tune vision architectures including CNNs, Vision Transformers, diffusion models, and other state-of-the-art computer vision approaches.- Collaborate closely with data engineers, software developers, product managers, and researchers to define and solve imaging problems.- Analyze model performance using quantitative metrics and visual diagnostics; identify failure modes and optimization opportunities.- Optimize models for performance, scalability, and real-time inference, including techniques like quantization and pruning.- Contribute to production-ready ML pipelines and follow MLOps best practices.- Stay updated with the latest research in computer vision and propose innovative solutions for business-critical use cases.Required Skills &amp; Qualifications- 3+ years of industry experience in Machine Learning / Deep Learning, with a strong focus on image modality.- Solid understanding of computer vision fundamentals, including convolutional networks, feature extraction, and geometric transformations.- Strong proficiency in Python.- Hands-on experience with ML/DL frameworks and libraries:- PyTorch- TensorFlow- OpenCV- scikit-learn- Experience training and fine-tuning models on GPU-based infrastructure.- Strong understanding of model evaluation and cross-validation techniques.- Experience with image quality and evaluation metrics such as IoU, PSNR, and SSIM.- Experience with Docker, version control systems, and deploying ML models in production environments.Preferred / Bonus Skills- Experience with transformer-based vision models such as ViT, DETR, SAM.- Exposure to multi-modal learning (e.g., vision-language models).- Knowledge of synthetic data generation, image annotation tools, and data-centric AI practices.- Experience with edge deployment or embedded/real-time vision systems.- Familiarity with MLOps workflows and CI/CD for ML systems.Technology Stack (Key Skills)- Python- PyTorch, TensorFlow- OpenCV, scikit-learn- CNNs, Vision Transformers (ViT, DETR, SAM)- GPU-based training- Docker &amp; MLOps- Image metrics: IoU, PSNR, SSIMJob Title 2 : Senior ML EngineerExperience: 7+ YearsLocation: RemoteBudget: 60,000 - 80,000Job SummaryWe are looking for a highly skilled Senior Machine Learning Engineer with 7+ years of experience in designing, building, and deploying scalable ML solutions. The ideal candidate will work closely with data scientists, product teams, and engineering stakeholders to translate business requirements into production-grade ML systems.Key ResponsibilitiesDesign, develop, and deploy machine learning models at scale.Build end-to-end ML pipelines including data preprocessing, model training, validation, and deployment.Optimize model performance, scalability, and reliability in production environments.Collaborate with cross-functional teams to integrate ML solutions into products.Work with large datasets and apply advanced statistical and ML techniques.Monitor model performance and implement continuous improvement strategies.Mentor junior engineers and contribute to best practices and ML standards.Required Skills &amp; Qualifications7+ years of experience in Machine Learning / Applied AI.Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).Experience with data processing tools and libraries (Pandas, NumPy, Spark).Strong understanding of supervised and unsupervised learning techniques.Experience deploying ML models using cloud platforms (AWS / Azure / GCP).Knowledge of MLOps, CI/CD pipelines, model versioning, and monitoring.Solid understanding of data structures, algorithms, and system design.Good to HaveExperience with NLP, Computer Vision, or Generative AI.Exposure to Kubernetes, Docker, and microservices architecture.Experience working in remote, distributed teams.Job Type: Contractual / TemporaryPay: ₹30,000.00 - ₹80,000.00 per monthWork Location: Remote

Machine Learning Engineer

Terafac Technologies Pvt. Ltd.

Terafac is seeking a Machine Learning Engineer to join our team focused on making a transformational AI-Vision platform for Industrial Robots. The ideal candidate will have exposure to building data pipelines, backend services, and training ML models. The position will involve taking these skills and applying them to solve for some of the most crucial &amp; most exciting technology challenges of our generation.About TerafacTerafac is where AI meets the real world. We&rsquo;re building an AI-Vision platform that enables industrial robots to see, think, and adapt like skilled human workers - transforming how physical work gets done across global manufacturing.Operating at the intersection of AI, computer vision, robotics, and manufacturing, Terafac is addressing global challenges such as labour shortages and the need for scalable automation. Our systems are already live in production environments, with active scale-up across India and international markets.At Terafac, you&rsquo;ll work on some of the hardest, most meaningful problems in AI, Computer-Vision and robotics, with deep hands-on exposure and ownership in a fast-paced, high-impact startup shaping the future of manufacturing.Key Responsibilities<ul><li>Design, train, evaluate, and deploy perception models with a strong emphasis on segmentation, localization, and spatial understanding in real-world environments</li><li>Own the end-to-end ML lifecycle: data collection and labeling strategy, model development, evaluation, deployment, monitoring, and iteration</li><li>Work closely with data and ops teams on large-scale data collection and augmentation pipelines, including handling long-tail and failure cases</li><li>Develop and validate data augmentation strategies (geometric, photometric, synthetic, domain randomization) to improve robustness and generalization</li><li>Analyze model failures (e.g., over/under-segmentation, drift, confidence collapse) and design diagnostics, safeguards, and fallback strategies</li><li>Experiment with model compression and distillation (teacher&ndash;student setups) for efficient deployment on constrained hardware</li><li>Collaborate with robotics, backend, and systems teams to ensure ML models integrate cleanly into production pipelines</li><li>Make principled trade-offs between accuracy, latency, compute, reliability, and maintainability, and clearly communicate assumptions and limitations</li></ul>Minimum Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science or related fields, and/or equivalent hands-on machine learning experience</li><li>2&ndash;5 years of practical experience building, training, and evaluating machine learning models in real projects</li><li>Hands-on experience with computer vision models, especially segmentation (semantic and/or instance)</li><li>Strong fundamentals in probability, statistics, linear algebra, and optimization</li><li>Solid experience with modern ML frameworks (e.g., PyTorch) and strong Python programming skills</li><li>Ability to reason about data distributions, noise, bias, and failure modes in ML systems</li></ul>Preferred Qualifications<ul><li>Experience working on a production perception stack, not just isolated models</li><li>Exposure to Vision Transformers (ViTs) or hybrid CNN&ndash;Transformer architectures</li><li>Hands-on experience with knowledge distillation or teacher&ndash;student training approaches</li><li>Experience collaborating with teams on data collection, labeling, and augmentation at scale</li><li>Familiarity with vision&ndash;language models or Vision&ndash;Language&ndash;Action (VLA) systems, or strong interest in multi-modal learning</li><li>Experience deploying ML models in production environments (cloud, edge, or on-device) and working under real-world constraints</li></ul>Job Details<ul><li>Job Type: Full-time</li><li>Location: Chandigarh, Sector 25 (Work from Office)</li></ul>Contact Details<ul><li>Send your resume to: hiring@terafac.com</li><li>cc: simar-sethi@terafac.com</li></ul>Contact Number: +91-8264445150Job Types: Full-time, PermanentPay: From ₹1,000,000.00 per yearBenefits:<ul><li>Health insurance</li><li>Paid sick time</li><li>Paid time off</li><li>Provident Fund</li></ul>Ability to commute/relocate:<ul><li>Chandigarh, Chandigarh: Reliably commute or planning to relocate before starting work (Required)</li></ul>Experience:<ul><li>Machine learning: 2 years (Required)</li></ul>Work Location: In person

Intuit

<div><h2 class="jobSectionHeader">Overview</h2><div>
Come join our collaborative and creative group of AI scientists and machine learning engineers for Intuit Foresight! As AI Scientist, you'll get to design and build next generation AI systems that directly impact our customers deploying machine learning models in AI-native apps, using everything from analytical</div><div>
algorithms to deep learning and generative AI. We're excited for you to join us and do some seriously awesome work.</div><div>
 The team is at the heart of building next generation AI systems and algorithms using state of the art algorithms, platform infrastructure and massive datasets unique to Intuit. Building these AI and GenAI systems involve the use of large language models, reinforcement learning, human prefernce learning, forecasting, optimization and in-depth knowlege of using experimentation methods and AI evaluations.</div> 
Responsibilities<ul><li><div> 
Discover data sources, get access to them, import them, clean them up, and make them &ldquo;machine learning ready&rdquo;.</div></li><li><div>
Work with AI scientists to create and refine features from the underlying data and build pipelines to train and deploy models.</div></li><li><div>
Partner with AI scientists to understand, implement, refine and design machine learning and other algorithms.</div></li><li><div>
Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.</div></li></ul> 
Qualifications<ul><li><div> 
BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.</div></li><li><div>
Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, Torch, TensorFlow, Keras, R, Spark).</div></li><li><div>
Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).</div></li><li><div>
Understand machine learning principles (training, validation, etc.)</div></li><li><div>
Knowledge of data query and data processing tools (i.e. SQL)</div></li><li><div>
Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).</div></li><li><div>
Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.</div></li><li><div>
Mathematics fundamentals: linear algebra, calculus, probability</div></li><li><div>
Minimum experience of 1 year on relevant technologies</div></li></ul> 
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</div>

Machine Learning Engineer - 1

Salient Group

<div>
 
 
 AI / ML Engineer
 
 
 
 
 Dubai, UAE
 
 
 
 
 $220k-$250k + Equity
 
 
 
 
 
 
 We&rsquo;re working with a frontier AI company that builds and deploys AI systems for the world&rsquo;s most important institutions, automating billion-dollar processes, unlocking national productivity, and modernising the infrastructure of society itself. This is not research for research&rsquo;s sake. This is applied AI, deployed in the real world.
 
 
 
 
 
 They are backed by some of the world&rsquo;s most respected founders and AI pioneers, and built a 40+ person team from tier-1 companies. Now, they&rsquo;re expanding globally and looking for engineers who want to own the deployment of AI that changes how the world works.
 
 
 
 
 
 
 The Role
 
 
 
 As an
 
 AI/ML Engineer
 
 , you&rsquo;ll turn state-of-the-art models into production-grade systems that power national-scale change. You&rsquo;ll design, deploy, and optimise AI applications that automate some of the hardest real-world processes from energy and healthcare to government operations.
 
 
 
 
 
 You&rsquo;ll be embedded in small, elite teams that own problems end-to-end: architecture, data, model design, deployment, and iteration. No silos. No bureaucracy. Just impact.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Build and deploy applied AI systems: from LLMs and agentic reasoning models to scalable data pipelines and production infrastructure.
 </li>
 <li>
 Solve world-scale problems: automate complex workflows, improve public outcomes, and optimise critical national systems.
 </li>
 <li>
 Collaborate with leaders and clients: work directly with government officials, enterprise executives, and industry veterans to translate ideas into deployed solutions.
 </li>
 <li>
 Operate like a founder: own delivery, make decisions fast, and help shape the next generation of applied AI tooling.
 </li>
 <li>
 Stay ahead of the curve: explore the latest GenAI, LLM, and reasoning research to push models from theory to practice.
 </li>
 </ul>
 
 
 
 
 
 You&rsquo;ll Thrive Here If You&hellip;
 
 
 <ul>
 <li>
 Have hands-on experience building GenAI or LLM-based applications (agents, RAG, reasoning models).
 </li>
 <li>
 Know your way around Python, PyTorch, JAX, or TensorFlow, with strong software engineering fundamentals.
 </li>
 <li>
 Can work across data pipelines, APIs, and production deployments with speed and precision.
 </li>
 <li>
 Enjoy autonomy, creative problem-solving, and owning solutions end-to-end.
 </li>
 <li>
 Want your work to matter to see it deployed across industries, governments, and communities.
 </li>
 </ul>
 
 
 
 
 
 Why Join
 
 
 <ul>
 <li>
 Build at frontier scale: ship real systems used by governments, hospitals, and energy leaders worldwide.
 </li>
 <li>
 Elite peers: collaborate with engineers and researchers from tier-1 places.
 </li>
 <li>
 Move fast, own outcomes: you&rsquo;ll ship code in weeks, not quarters.
 </li>
 <li>
 Meaningful rewards: competitive comp, equity, and ownership tied to real impact.
 </li>
 <li>
 Support to thrive: daily lunches, full benefits, 401(k), and unlimited PTO.
 </li>
 </ul>
 
 
 
 
 If you want to build AI that doesn&rsquo;t just predict but powers economies, saves lives, and redefines what&rsquo;s possible , this is where you do it.
 
 
 
 
 
 Join the team building AI that actually ships. Get in touch with danny@salientgroup.com.au for more information.
 
</div>

ExxonMobil

<div>About us 
At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world&rsquo;s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. 
The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. 
We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society&rsquo;s evolving needs. Learn more about our What and our Why and how we can work together.<div><div><div><h2 class="jobSectionHeader">
What role you will play in our team</h2></div><div> 
We are looking to hire candidates to work on challenging technology and engineering problems that span oil and gas exploration &amp; production, chemicals/fuels/lubricants products and low carbon solutions. A successful candidate would understand a business problem (both commercially and technically), translate it into a computational, data science or machine learning problem and apply engineering, numerical, data science and programming skills to tackle it. The Machine Learning Engineer will work as part of a team to design, develop, deploy and sustain data science solutions that are scalable, reproducible and with commercial-grade quality.</div></div><div><div><h2 class="jobSectionHeader">
What you will do</h2></div><div> 
<ul><li>
Applies software development practices, DevOps skills and Machine Learning (ML) techniques to orchestrate an end-to-end machine learning workflow that effectively brings ML models to production.</li><li>
Participates in scoping of deployment of new data science solutions and implements the appropriate solution design.</li><li>
Sustain data science solutions by enabling continuous ML model and/or service performance monitoring, training, and re-training of models, including the implementation of proactive alerting methods.</li><li>
Works effectively with computational scientists, data scientists, engineers, software developers, and domain experts across the globe to develop and apply computational and data science solutions in support of our business.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
About You</h2></div><div> 
Skills and Qualifications 
<ul><li>
Bachelor&rsquo;s degree from a recognized university in Computer Science, IT, Applied Mathematics, Engineering or related disciplines with minimum 7.0 CGPA or equivalent.</li><li>
Minimum 3 years of experience in Data Science and Machine Learning or related computational domain.</li><li>
Competent to expert level programming experience in C/C++/Python.</li><li>
Strong foundation in application design.</li><li>
Experience with refactoring legacy code and leveraging third-party libraries/APIs during software development.</li><li>
Experience with Source code version control (Git), Azure Cloud platform and containers, Databricks and MLflow.</li><li>
Continuous Integration and Continuous Deployment.</li><li>
Familiarity with statistical analysis, regression and classification.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Preferred Qualifications / Experience</h2></div><div> 
<ul><li>
Experience with time series analysis, computer vision, natural language processing.</li><li>
Knowledge or hands on experience on Matlab &amp; SQL.</li><li>
Strong written and verbal communication skills.</li><li>
Prior knowledge of commercial software development and/or experience in commercial software teams.</li><li>
Familiarity with Oil and Gas Industry.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Your benefits</h2></div><div> 
An ExxonMobil career is one designed to last. Our commitment to you runs deep our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: 
<ul><li>
Competitive compensation</li><li>
Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits</li><li>
Retirement benefits</li><li>
Global networking &amp; cross-functional opportunities</li><li>
Annual vacations &amp; holidays</li><li>
Day care assistance program</li><li>
Training and development program</li><li>
Tuition assistance program</li><li>
Workplace flexibility policy</li><li>
Relocation program</li><li>
Transportation facility</li></ul> 
Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company&rsquo;s eligibility guidelines.</div></div><div><div><h2 class="jobSectionHeader">
Stay connected with us</h2></div><div> 
<ul><li>
Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India.</li><li>
Follow us on LinkedIn and ExxonMobil (@exxonmobil) &bull; Instagram photos and videos
</li><li>Like us on Facebook</li><li>
Subscribe our channel at YouTube</li></ul></div></div><div><div><h2 class="jobSectionHeader"> 
EEO Statement</h2></div><div> 
ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status.</div></div><div><div><h2 class="jobSectionHeader"> 
Business solicitation and recruiting scams</h2></div><div> 
ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil.</div></div></div> 
Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. 
Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.</div>

Radar Hire LLC

If you are interested in the role, please apply through our website: http://careers.usjobfinders.com/p/ed1d8b143d39-machine-learning-engineer-remoteAbout the Role:Radar Hire is seeking a skilled and forward-thinking Machine Learning Engineer to design, develop, and deploy scalable ML models and AI-powered solutions for innovative, data-driven companies. This is a hands-on, engineering-focused role where you&rsquo;ll take ownership of the entire ML lifecycle&mdash;from data ingestion and model training to deployment and monitoring.The ideal candidate is fluent in modern ML frameworks, understands real-world application constraints, and is passionate about solving complex problems using predictive modeling, LLMs, or other machine learning methods.Key Responsibilities<ul><li>Design, build, and train machine learning models for classification, regression, clustering, recommendation systems, or generative tasks</li><li>Work closely with data scientists and engineers to prepare and preprocess datasets for modeling</li><li>Implement and optimize training pipelines for experimentation and version control</li><li>Deploy ML models to production using containerization, CI/CD pipelines, and cloud services</li><li>Monitor performance, retrain models as needed, and ensure system stability post-deployment</li><li>Collaborate with product, engineering, and analytics teams to align models with business goals</li><li>Stay up to date with state-of-the-art ML algorithms, tools, and research</li><li>Document model architecture, assumptions, validation metrics, and maintenance plans</li></ul>Required Skills &amp; Qualifications<ul><li>3&ndash;5+ years of hands-on experience in machine learning model development</li><li>Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost</li><li>Strong understanding of supervised and unsupervised learning techniques</li><li>Experience with data preprocessing, feature engineering, and model evaluation</li><li>Solid grasp of ML system design, model deployment, and MLOps best practices</li><li>Familiarity with Docker, Kubernetes, and cloud services (AWS, GCP, or Azure)</li><li>Comfortable working with structured and unstructured data</li><li>Strong collaboration and communication skills in cross-functional, remote environments</li></ul>Nice to Have<ul><li>Experience with LLMs (Large Language Models), embeddings, or vector search integration</li><li>Familiarity with Retrieval-Augmented Generation (RAG) architectures</li><li>Experience using MLflow, Weights &amp; Biases, or similar model tracking tools</li><li>Understanding of privacy and compliance considerations for ML systems (HIPAA, GDPR, etc.)</li><li>Exposure to real-time ML applications (recommendation engines, fraud detection, etc.)</li></ul>Working Hours<ul><li>Full-Time, Monday&ndash;Friday 8 hours per day</li><li>Aligned with U.S. business hours</li></ul>Job Type: Full-timePay: E&pound;66,549.00 - E&pound;137,852.00 per monthApplication Question(s):<ul><li>To be able to proceed please confirm that you applied through our website:</li></ul>https://radarhire.com/job/machine-learning-engineer-remote-id-2116/

Machine Learning Engineer (Remote)

EPAM Systems

<div>Driven to make a difference as a Senior Machine Learning Engineer in the tech industry? We are on the lookout for an individual with a passionate commitment, a wealth of skill in machine learning and data engineering, and a readiness to unleash groundbreaking models.
Join our ranks if you find satisfaction in navigating through complex systems and achieving consequential results. In our fold, your role will extend beyond machine learning, mandating a cooperative interaction with diverse teams to engineer strategic resolutions.
Our workspace champions innovative thought and provides a supportive environment, fostering growth at every turn. If you're eager to significantly contribute to transformative projects and accelerate your career, you may just be the visionary we seek.
Embark on this thrilling voyage of discovery and reinvention with us.
Your dream job is just a decision away!
Responsibilities<ul><li>
Work with DevOps/System engineers to automate necessary infrastructure provisioning</li><li>
Contribute to creating ML platforms</li><li>
Converting machine learning models and algorithms prototypes into production ready optimized ML pipelines</li><li>
Contribute to ML pipeline design and development (including validation and cold start problem, A/B tests, feedback loop, etc)</li><li>
Create from scratch, maintain, troubleshoot, and optimize ML pipeline steps</li><li>
Optimizing / tuning ML models and ML pipelines to satisfy production environment requirements</li><li>
Automating key parts of CICD pipelines for ML pipelines</li><li>
Collaborating with data scientists to fine-tune and optimize models</li><li>
Write specifications, documentation, and user guides for developed solutions</li><li>
Integrating ML models into existing software systems or creating new applications</li><li>
Allocate activities to junior ML engineers and take tasks to closure</li><li>
Improvise coding practices, support code reviews and bring in best practices for model management</li></ul>
Requirements<ul><li>
At least 5 years of production experience working in MLE role</li><li>
At least one project delivered to production in MLE role</li><li>
Expert level in Engineering Best Practices</li><li>
Advanced knowledge of Machine Learning fundamentals</li><li>
Production experience in integrating ML models into complex data-driven systems</li><li>
Experience with of Python ML ecosystem</li><li>
Practical experience working with at least one of the major Cloud Provider such as AWS, GCP, Azure</li><li>
Experience with one of the MLOps related platform/technology such as AWS SageMaker, Azure ML, GCP Vertex, Databricks MLFlow, Kubeflow, TensorFlow Extended</li></ul>
Nice to have<ul><li>
Practical experience with Apache Spark Ecosystem</li><li>
Expertise in LLM/GenAI</li></ul>
We offer<ul><li>
CONTINUOUS UPSKILLING, LEARNING &amp; DEVELOPMENT<ul><li>
Diversity of tasks and projects</li><li>
Assessment center for objective review of competency level</li><li>
Personal development plan</li><li>
Mentoring programs and leadership development</li><li>
Certification and professional development support</li><li>
Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses</li><li>
English courses taught by certified teachers</li></ul></li><li>
CORPORATE BENEFITS<ul><li>
Extra leave days</li><li>
Referral bonuses</li></ul></li><li>
COMPENSATION PACKAGE<ul><li>
Competitive compensation paid in USD</li><li>
Regular salary and performance reviews</li></ul></li><li>
MEDICAL &amp; HEALTHCARE<ul><li>
Private health insurance</li><li>
Well-being events</li></ul></li><li>
WORKING ENVIRONMENT<ul><li>
Recreation areas and kitchens</li><li>
Tea, coffee, and snacks</li><li>
Well-being events</li><li>
Sports equipment and game consoles</li><li>
IT Equipment</li><li>
Microsoft's Software Assurance Home Use Program (HUP)</li></ul></li></ul>
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.</div>

Senior Machine Learning Engineer

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

10000 learning engineer jobs NEAR_ME

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer - 1

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer (Remote)

Senior Machine Learning Engineer