machine engineer

Sumo Logic

<div><h2 class="jobSectionHeader"><b>Machine Learning Engineer</b></h2>
<p>
The proliferation of machine log data has the potential to give organizations unprecedented real-time visibility into their infrastructure and operations. With this opportunity comes tremendous technical challenges around ingesting, managing, and understanding high-volume streams of heterogeneous data</p>
<p>
As a <b>Machine Learning Engineer</b>, you'll build the intelligence behind the next generation of <b>agentic AI systems</b> that reason over massive, heterogeneous log data. You'll combine machine learning, prompt engineering, and rigorous evaluation to create autonomous AI agents that help organizations understand and act on their data in real time.</p>
<p>
You'll be part of a small, high-impact team shaping how AI agents understand complex machine data. This is an opportunity to work on cutting-edge LLM infrastructure and contribute to defining best practices in context engineering and AI observability.</p>
<h4 class="jobSectionHeader"><b>
Responsibilities</b></h4>
<ul><li><b>Design, implement, and optimize</b> agentic AI components including context engineering, memory management, and prompts.</li>
<li><b>Develop and maintain</b> golden datasets by defining sourcing strategies, working with data vendors, and ensuring quality and representativeness at scale.</li>
<li><b>Prototype and evaluate</b> novel prompting strategies and reasoning chains for model reliability and interpretability.</li>
<li><b>Collaborate cross-functionally</b> with product, data, and infrastructure teams to deliver end-to-end AI-powered insights.</li>
<li><b>Operate autonomously</b> in a fast-paced, ambiguous environment - defining scope, setting milestones, and driving outcomes.</li>
<li><b>Ensure reliability, performance, and observability</b> of deployed agents through rigorous testing and continuous improvement.</li>
<li><b>Maintain a strong bias for action</b>&mdash;delivering incremental, well-tested improvements that directly enhance customer experience.</li>
</ul>
<p><b>Required Qualifications</b></p>
<ul>
<li>B.Tech, M.Tech, or Ph.D. in Computer Science, Data Science, or a related field.</li>
<li>2-4 years of hands-on industry experience with demonstrable ownership and delivery.</li>
<li>Strong understanding of machine learning fundamentals, data pipelines, and model evaluation.</li>
<li><b>Proficiency in Python</b> and ML/data libraries (NumPy, pandas, scikit-learn); familiarity with JVM languages is a plus.</li>
<li>Working knowledge of <b>LLM core concepts</b>, prompt design, and <b>agentic design patterns</b>.</li>
<li>Strong communication skills and a passion for shaping emerging AI paradigms.</li>
</ul>
<p><b>Desired Qualifications</b></p>
<ul>
<li>Prior experience <b>building and deploying AI agents</b> or LLM applications in production.</li>
<li>Familiarity with modern <b>agentic AI frameworks</b> (e.g., LangGraph, LangChain, CrewAI).</li>
<li>Experience with <b>ML infrastructure and tooling</b> (PyTorch, MLflow, Airflow, Docker, AWS).</li>
<li>Exposure to <b>LLM Ops</b> - infrastructure optimization, observability, latency, and cost monitoring.</li>
</ul><h2 class="jobSectionHeader"><b>About Us</b></h2>
<p>
Sumo Logic, Inc. empowers the people who power modern, digital business. Sumo Logic enables customers to deliver reliable and secure cloud-native applications through its Sumo Logic SaaS Analytics Log Platform, which helps practitioners and developers ensure application reliability, secure and protect against modern security threats, and gain insights into their cloud infrastructures. Customers worldwide rely on Sumo Logic to get powerful real-time analytics and insights across observability and security solutions for their cloud-native applications. For more information, visit www.sumologic.com.</p></div>

Machine Learning Engineer

Microsoft

<div>
 Are you excited by the challenge of building intelligent, autonomous systems that deliver real-world impact? The Commerce Risk Analytics team at Microsoft is looking for a machine learning engineer to design, develop, and continuously improve a multi-agent AI Risk system that enables autonomous risk transaction review and decision-making. You&rsquo;ll be working at the intersection of large language models (LLMs), applied machine learning, and platform integration&mdash;building solutions that power scenarios from fraud prevention to customer support automation.
 <br/>
 <br/>
 We&rsquo;re hiring across several focus areas, and your role will align with your expertise and interests:
 <br/>
 <br/>
 <ul>
  <li>
   Autonomous Agent Development for Risk Decision &ndash; building LLM-based decision-making agents and advancing a multi-agent risk system
  </li>
  <li>
   AI Integration &amp; MLOps &ndash; enabling scalable infrastructure, data pipelines, and operational excellence
  </li>
  <li>
   Quality &amp; Integration &ndash; focusing on agent behavior testing, UI/UX integration, and platform reliability
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 As a machine learning engineer, you will:
 <br/>
 <br/>
 <ul>
  <li>
   Design and optimize multi-agent AI architectures that enable autonomous risk assessment and decision-making at scale, leveraging agent collaboration to reduce huma manual effort and minimize false positive rates.
  </li>
  <li>
   Implement agentic ML infrastructure that automates the full model development lifecycle enabling continuous learning, adaptive optimization, and scalable risk decisioning.
  </li>
  <li>
   Build and evolve AI-driven solutions that improve the accuracy, speed, and adaptability of fraud detection across a wide range of Commerce scenarios.
  </li>
  <li>
   Develop infrastructure and MLOps pipelines to support continuous training, deployment, and monitoring
  </li>
  <li>
   Conduct rigorous behavior testing and validation, focusing on performance, safety, and real-world edge cases
  </li>
  <li>
   Integrate AI agents with Azure AI services, Microsoft Graph API, Power Platform, and internal systems
  </li>
  <li>
   Apply best practices in security, compliance, and privacy to all aspects of agent development
  </li>
  <li>
   Partner closely with product managers, engineers, and data scientists to translate complex business challenges into scalable technical solutions, ensuring alignment and impact across stakeholders
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  Required Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
  </li>
  <ul>
   <li>
    OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
   </li>
   <li>
    OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
   </li>
   <li>
    OR equivalent experience.
   </li>
  </ul>
  <li>
   3+ years of experience in software engineering, data science, or machine learning
  </li>
  <li>
   2+ years experience with LLMs, prompt engineering, and the OpenAI API
  </li>
  <li>
   2+ years experience with Azure services, cloud infrastructure, and CI/CD pipelines
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience working with multi-agent frameworks such as AutoGen, Semantic Kernal and Langchain.
  </li>
  <li>
   Knowledge of MLOps practices, including containerization, infrastructure-as-code, and monitoring
  </li>
  <li>
   Exposure to Power Platform, Microsoft Graph API, or enterprise integration technologies
  </li>
  <li>
   Experience debugging skills and a solid understanding of security and data protection principles
  </li>
  <li>
   Ability to communicate technical concepts effectively with both technical and non-technical stakeholders
  </li>
  <li>
   Proficiency in Python for development and scripting
   <br/>
   <br/>
  </li>
 </ul>
 Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.
 <br/>
 <br/>
 Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
 <br/>
 <br/>
 Microsoft will accept applications for the role until October 29th, 2025
 <br/>
 <br/>
 <strong>
  Other Requirements
  <br/>
  <br/>
 </strong>
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 <br/>
 <br/>
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>


Haleon

<div><div>This is an excellent opportunity for a Machine Learning Engineer to provide key contribution to a strategic digital programme expected to transform the integrated business planning process in Haleon. The successful candidate will lead the deployment of machine learning solutions that will transform our integrated business planning process. In this role, you will be responsible for designing and implementing end-to-end machine learning pipelines for various applications.</div><div>
Key Responsibilities of the role</div><ul><li>
deploy AIML solutions on the enterprise infrastructure, in line with ML engineering standards and best practices (version control, testing, deployment, maintenance).</li><li>
Manage the entire lifecycle of data science/machine learning models, including monitoring, data gathering for retraining, and updates.</li><li>
Implement ML engineering best practices, such as coding standards, code reviews, and automated testing.</li><li>
Define and implement metrics to evaluate the functional performance and computational resource efficiency of ML and AI components.</li><li>
Can coordinate and manage competing priorities across a portfolio of projects..</li><li>
proven collaboration skills, comfortable working with ambiguity, collaborate with cross-functional teams, including data scientists, data engineers, and business stakeholders.</li></ul><div>
People and Team responsibilities</div><ul><li>
Contribute to a highly collaborative team with a culture of ownership, initiative and responsibility.</li><li>
Contribute to the development of our Team&rsquo;s ML engineering standards of reusable DS, ML, and AI assets.</li><li>
Motivate, coach, mentor colleagues within the ML Engineering Team to develop technical excellence.</li></ul><div>
Necessary Qualifications &amp; Skills</div><ul><li>
BSc or MSc degree in mathematics, computer science, or another scientific discipline that provides solid foundations on relevant aspects of Data Science.</li><li>
2-3 years of industry experience with proven experience implementing machine learning engineering pipelines on large datasets using ML, MLOps, Azure, Python and DevOps concepts</li><li>
Understanding of ML engineering best practices.</li><li>
collaboration skills and comfortable working with ambiguity, making quick, informed decisions considering trade-offs.</li><li>
Experience with deploying machine learning solutions on enterprise infrastructure.</li><li>
Good programming skills in Python or similar programming languages..</li><li>
Ability to manage competing priorities across a portfolio of projects.</li></ul><div>
Highly desirable Qualifications &amp; Skills</div><ul><li>
Experience with cloud-based infrastructure and distributed computing systems, such as Azure, AWS, or GCP.</li><li>
Experience with containerization and orchestration tools, such as Docker and Kubernetes.</li><li>
Understanding of software engineering principles, such as modular design, clean code, and testing.</li><li>
Familiarity with DevOps practices and tools, such as continuous integration and deployment (CI/CD) pipelines and configuration management tools like Ansible or Terraform.</li><li>
Good problem-solving skills and the ability to debug complex issues in production environments.</li><li>
Good communication skills and the ability to collaborate with cross-functional teams.</li><li>
Familiarity with monitoring and logging tools, such as Grafana, Prometheus, and ELK Stack.</li><li>
Knowledge of security best practices in machine learning engineering.</li></ul><div>
Care to join us. Find out what life at Haleon is really like www.haleon.com/careers/<br>
<br>
At Haleon we embrace our diverse workforce by creating an inclusive environment that celebrates our unique perspectives, generates curiosity to create unmatched understanding of each other, and promotes fair and equitable outcomes for everyone. We're striving to create a climate where we celebrate our diversity in all forms by treating each other with respect, listening to different viewpoints, supporting our communities, and creating a workplace where your authentic self belongs and thrives. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.<br>
<br>
As you apply, we will ask you to share some personal information, which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially.<br>
<br>
Haleon is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.</div><div></div><div>
Accommodation Requests</div><div></div><div>
If you require a reasonable accommodation or other assistance to apply for a job at Haleon at any stage of the application process, please let your recruiter know by providing them with a description of specific accommodations you are requesting. We&rsquo;ll provide all reasonable accommodations to support you throughout the recruitment process and treat all information you provide us in confidence.</div></div>

ExxonMobil

<p></p><div><p><b>About us</b></p><p></p><p><br>
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.</p><p></p><p><br>
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.</p><p></p><p><br>
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 <b>our What and our Why</b> and how we can<b> </b>work<b> together</b>.</p><div><div><div><h2 class="jobSectionHeader"><b>
What role you will play in our team</b></h2></div><p></p><div><p><br>
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.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What you will do</b></h2></div><p></p><div><br>
<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"><b>
About You</b></h2></div><p></p><div><p><b><br>
Skills and Qualifications</b></p><br>
<p></p><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"><b>
Preferred Qualifications / Experience</b></h2></div><p></p><div><br>
<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"><b>
Your benefits</b></h2></div><p></p><div><p><br>
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:</p><br>
<p></p><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><p></p><p><br>
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.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Stay connected with us</b></h2></div><p></p><div><br>
<ul><li>
Learn more about ExxonMobil in India, visit <b>ExxonMobil India</b> and <b>Energy Factor India</b><b>.</b></li><li>
Follow us on <b>LinkedIn</b> and <b>ExxonMobil (@exxonmobil) &bull; Instagram photos and videos</b><b>
</b></li><li>Like us on <b>Facebook</b></li><li>
Subscribe our channel at <b>YouTube</b></li></ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b><br>
EEO Statement</b></h2></div><p></p><div><p><br>
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.</p></div></div><div><div><h2 class="jobSectionHeader"><b><br>
Business solicitation and recruiting scams</b></h2></div><p></p><div><p><br>
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.</p></div></div></div><p></p><p><br>
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.</p><p></p><p><br>
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.</p></div>

Corumat, Inc.

<p><b>Machine Designer / Process Engineer &mdash; Wapato, WA</b></p><p><b>Design machines that help eliminate plastic waste and fight climate change.</b></p><p>Corumat (The Big Green Loop&reg;) is a startup developing the next generation of lightweight, compostable packaging. We&rsquo;re turning food waste into high-performance plastics &mdash; and we&rsquo;re now building out a <b>plastics-processing line in Wapato, Washington</b> to take our innovations from prototype to production.</p><p>We&rsquo;re seeking a <b>hands-on mechanical designer / process engineer</b> who can help design, analyze, and commission custom equipment to make it happen.</p><p><b>What You&rsquo;ll Do</b></p><p><b>Short-Term (Hands-On Design + Build)</b></p><ul><li>Use <b>SolidWorks</b> to model mechanical assemblies, frames, guards, and fixtures for extrusion, expansion, and thermoforming lines.</li><li>Run <b>finite element analyses (FEA)</b> to check deflection, stiffness, and stress under thermal and mechanical loads.</li><li>Select bearings, linear motion components, fasteners, and drives to ensure reliable, safe operation.</li><li>Work directly with machinists and fabricators to prototype and assemble systems.</li><li>Collaborate closely with the <b>controls engineer</b> to integrate sensors, actuators, and safety systems.</li></ul><p><b>Medium-Term (Optimization + Integration)</b></p><ul><li>Instrument equipment to monitor torque, pressure, and temperature.</li><li>Develop process parameter maps (e.g., CO&#8322; pressure, line speed, sheet density).</li><li>Build clean process data-logging systems and simple dashboards in Excel or SQL for operator feedback and KPI reporting.</li><li>Refine designs to improve reliability, throughput, and safety.</li></ul><p><b>Long-Term (Innovation + Scale-Up)</b></p><ul><li>Lead mechanical design for future process modules and R&amp;D rigs.</li><li>Work with university partners to correlate mechanical properties to process data.</li><li>Help scale our proprietary expansion process to commercial throughput.</li></ul><p><b>Skills &amp; Experience</b></p><ul><li><b>SolidWorks proficiency</b> &mdash; confident with assemblies, motion studies, and technical drawings.</li><li><b>FEA experience</b> &mdash; able to analyze structural deflection and stress, interpret results, and make design tradeoffs.</li><li>Knowledge of <b>mechanical design fundamentals</b>: tolerances, fits, torque specs, component selection, and DFM/DFA.</li><li>Experience engaging with <b>controls and automation engineers</b> (sensors, actuators, PLCs, etc.).</li><li>Familiarity with <b>polymer extrusion, sheet handling, or thermoforming</b> is a plus.</li><li>Strong analytical and documentation skills &mdash; Excel, process notes, and clear reporting.</li><li>Self-motivated, adaptable, and comfortable in a startup environment where priorities shift quickly.</li></ul><p><b>The Challenge</b></p><p>You&rsquo;ll be responsible for the physical backbone of our process &mdash; designing equipment that&rsquo;s lightweight, reliable, and safe &mdash; while working side-by-side with engineers building the controls, process, and production systems.</p><p>You&rsquo;ll see your designs come to life on the floor within weeks, not years, and your work will directly reduce waste and greenhouse-gas emissions.</p><p>Job Type: Full-time</p><p>Pay: $25.00 - $50.00 per hour</p><p>Expected hours: 30 &ndash; 60 per week</p><p>Benefits:</p><ul><li>401(k)</li><li>Health insurance</li><li>Paid time off</li></ul><p>People with a criminal record are encouraged to apply</p><p>Application Question(s):</p><ul><li>Have you used Solidworks for at least one year?</li><li>Do you think you'll be able to refine a conceptual production line design, getting to detailed design, within one week?  </li></ul><p>Work Location: In person</p>

Machine Design Engineer

Haystek Technologies

<div><div>We are seeking a highly skilled and motivated <b>Machine Learning/Deep Learning Engineer</b> with expertise in neural network development, GenAI technologies, and cloud-native deployment on <b>AWS.</b><br>
This role will be instrumental in designing, training, and deploying advanced AI models across text, image, and audio domains, while also managing scalable cloud infrastructure and APIs.<p></p>
<p><b>
Key Responsibilities:</b></p>
<p><b>
Deep Learning &amp; Neural Networks</b></p>
<ul>
<li>Design and implement deep learning models using <b>TensorFlow, PyTorch, and transformer architectures.</b></li>
<li>Fine-tune pre-trained models for domain-specific tasks involving text, image, or audio datasets.</li>
<li>Optimize and deploy models on<b> NVIDIA GPU hardware</b> (e.g., A100, H100) for high-performance inference.</li>
<li>Develop <b>LLMOps context </b>aware pipelines for chat applications using python frameworks.</li>
<li>Collaborate with data scientists and product teams to integrate models into production systems.</li>
</ul>
<p><b>API Development &amp; Integration</b></p>
<ul>
<li>Develop and maintain<b> RESTful </b>and <b>gRPC APIs</b> for model serving and data access.</li>
<li>Manage the full API lifecycle, including versioning, documentation, and security.</li>
<li>Integrate APIs with internal and external applications using FastAPI or similar Python frameworks.</li>
</ul>
<p><b>AWS Cloud Engineering</b></p>
<ul>
<li>Create and manage<b> AWS Container Apps, Container Registries,</b> and <b>Docker images</b>.</li>
<li>Deploy and monitor AWS Web Apps for hosting AI services and dashboards.</li>
<li>Automate CI/CD pipelines using GitHub Actions for seamless deployment and updates.</li>
</ul>
<p><b>Required Qualifications</b></p>
<ul>
<li><b>2+ years </b>of experience in Python development with a focus on deep learning.</li>
<li>Hands-on experience with<b> transformers, Hugging Face, and custom model training.</b></li>
<li>Proven track record of deploying models on <b>GPU-based infrastructure</b>.</li>
<li>Strong understanding of API design principles and microservices architecture.</li>
<li>Experience with <b>AWS cloud services, Docker, and GitHub Actions</b>.</li>
<li>Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.</li>
</ul>
<p><b>Preferred Qualifications</b></p>
<ul>
<li>Experience with <b>multi-modal models</b> or <b>generative AI</b> applications.</li>
<li>Familiarity with <b>MLOps tools</b> and practices.</li>
<li>Contributions to <b>open-source AI </b>projects or publications in relevant fields.</li></ul></div></div>

Machine learning Engineer

Infosys

<div><h2 class="jobSectionHeader"><b>Job Description:</b></h2><br>
<ul>
<li>Infosys is seeking a ML Engineer with strong background in designing and deploying machine learning models using MLOPS framework for Model Management</li>
<li>Ideal candidate will work with clients to understand the issues they face diagnose problems design solutions and facilitate solution deployment on Azure ML</li>
<li>One will also have the opportunity to shape value adding consulting solutions for clients by connecting various functions of cloud components</li>
<li>Ideally the candidate uses understanding of the problem to arrive at multiple solution alternatives keeping in mind the various stakeholders and assess the pros and cons of all the alternatives to arrive at the optimal solution</li>
<li>Required Qualifications</li>
<li>Bachelor s degree or foreign equivalent required from an accredited institution</li>
<li>Will also consider three years of progressive experience in the specialty in lieu of every year of education</li>
<li>At least 7 years of experience in Information Technology</li>
<li>All applicants authorized to work in the United States are encouraged to apply</li>
<li>Candidate must live within commuting distance of Indianapolis IN or be willing to relocate</li>
<li>Travel within the US may be required</li>
<li>At least 4 years of experience in Information Technology in MLOPS</li>
<li>At least 4 years of experience Python Programming for ML Model deployment with Cleancode standards</li>
<li>At least 4 years of experience in AZURE or GCP Cloud environment</li>
<li>Azure Certified DP100 AZ AI900 or GCP equivalent including DevOps certification</li>
<li>Professional experience setting up MLOPs Framework ML CI CD pipelines Model management monitoring and Refactoring of MLOPs runs</li>
<li>At least 2 years of implementation experience in DevOps MLOps tools like Grafana Prometheus Poetry Snyk and others or equivalent in other environments</li>
<li>At least 2 years of experience in MLOPS Framework industry standards and operations KPI</li></ul><br>
<h2 class="jobSectionHeader"><b>
Key Responsibilities:</b></h2><br>
<ul>
<li>Roles Responsibilities</li>
<li>Understand the requirements from the business and translate it into an appropriate technical requirement</li>
<li>Responsible for successful delivery of MLOps solutions and services in client consulting environments</li>
<li>Define key business problems to be solved formulate high level solution approaches and identify data to solve those problems develop analyze draw conclusions and present to client</li>
<li>Assist clients with operationalization metrics to track performance of ML Models</li>
<li>Help team with ML Pipelines from creation to execution</li>
<li>Guide team to debug on issues with pipeline failures</li>
<li>Understand and take requirements on Operationalization of ML Models from Data Scientist</li>
<li>Engage with Business Stakeholders with status update on progress of development and issue fix</li>
<li>Setup Standards related to Coding Pipelines and Documentation</li>
<li>Research on new topics services and enhancements in Cloud Technologies</li></ul><br>
<h2 class="jobSectionHeader"><b>
Technical Requirements:</b></h2><br>
<ul>
<li>Preferred Qualifications</li>
<li>Experienced in Agile way of working manage team effort and track through JIRA</li>
<li>High Impact client communication</li>
<li>Domain experience in Retail CPG and Logistics</li>
<li>Experience in Test Driven Development and experience in using Pytest frameworks git version control Rest APIs</li>
<li>The job may entail extensive travel</li>
<li>The job may also entail sitting as well as working at a computer for extended periods of time</li>
<li>Candidates should be able to effectively communicate by telephone email and face to face</li></ul><br>
<h2 class="jobSectionHeader"><b>
Additional Responsibilities:</b></h2><br>
<ul>
<li>EEO About Us</li>
<li>About Us</li>
<li>Infosys is a global leader in next generation digital services and consulting</li>
<li>We enable clients in more than 50 countries to navigate their digital transformation</li>
<li>With over four decades of experience in managing the systems and workings of global enterprises we expertly steer our clients through their digital journey</li>
<li>We do it by enabling the enterprise with an AI powered core that helps prioritize the execution of change</li>
<li>We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight</li>
<li>Our always on learning agenda drives their continuous improvement through building and transferring digital skills expertise and ideas from our innovation ecosystem</li>
<li>Infosys provides equal employment opportunities to applicants and employees without regard to race color sex gender identity sexual orientation religious practices and observances national origin pregnancy childbirth or related medical conditions status as a protected veteran or spouse family member of a protected veteran or disability</li></ul><br>
<h2 class="jobSectionHeader"><b>
Preferred Skills:</b></h2>
Technology-&gt;Machine learning-&gt;data science</div>

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