ml infrastructure engineer

TechFlitter Solutions

<p><b>Job Title:</b> AI/ML Ops Engineer<br/><b>Location:</b> Ahmedabad - Onsite<br/><b>Duration:</b> 2-4 years experinece</p><p><b>About the Role</b></p><p>We are seeking an experienced <b>AI/ML Ops Engineer</b> to join our team and drive the development, deployment, and operationalization of machine learning and large language model (LLM) systems. You will be responsible for building scalable ML pipelines, enabling intelligent retrieval-augmented generation (RAG) capabilities, and deploying services that power intelligent enterprise applications.</p><p><b>Key Responsibilities</b></p><ul><li>Develop and maintain machine learning models to forecast user behavior using structured time-series data.</li><li>Build and optimize end-to-end regression pipelines using advanced libraries such as <b>CatBoost</b>, <b>XGBoost</b>, and <b>LightGBM</b>.</li><li>Design and implement <b>RAG (Retrieval-Augmented Generation)</b> pipelines for enterprise chatbot systems utilizing tools like <b>LangChain</b>, <b>LLM Router</b>, or custom-built orchestrators.</li><li>Work with <b>vector databases</b> for semantic document retrieval and reranking.</li><li>Integrate external APIs into <b>LLM workflows</b> to enable tool/function calling capabilities.</li><li>Package and deploy ML services using tools such as <b>Docker</b>, <b>FastAPI</b>, or <b>Flask</b>.</li><li>Collaborate with cross-functional teams to ensure reliable CI/CD deployment and version control practices.</li></ul><p><b>Core Technologies &amp; Tools</b></p><ul><li><b>Languages:</b> Python (primary), Bash, SQL</li><li><b>ML Libraries:</b> scikit-learn, CatBoost, XGBoost, LightGBM, PyTorch, TensorFlow</li><li><b>LLM &amp; RAG Tools:</b> LangChain, Hugging Face Transformers, LlamaIndex, LLM Router</li><li><b>Vector Stores:</b> FAISS, Weaviate, Chroma, Pinecone</li><li><b>Deployment &amp; APIs:</b> Docker, FastAPI, Flask, Postman</li><li><b>Infrastructure &amp; Version Control:</b> Git, GitHub, CI/CD pipelines</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Proven experience in ML Ops, AI infrastructure, or productionizing ML models.</li><li>Strong understanding of large-scale ML system design and deployment strategies.</li><li>Experience working with vector databases and LLM-based applications in production.</li></ul><p>Job Type: Full-time</p><p>Pay: Up to &#8377;75,229.87 per month</p><p>Benefits:</p><ul><li>Provident Fund</li></ul><p>Experience:</p><ul><li>AI/ML: 3 years (Preferred)</li><li>ML OPs: 3 years (Preferred)</li><li>AWS: 1 year (Preferred)</li><li>Python: 3 years (Preferred)</li></ul><p>Work Location: In person</p>

Sr. AI/ML OPs Engineer

Google

<div>
 <strong>
  Minimum qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree or equivalent practical experience.
  </li>
  <li>
   2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  </li>
  <li>
   1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential selection making), ML infrastructure, or in a related ML field.
  </li>
  <li>
   1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master's degree or PhD in Computer Science or a related technical field.
  </li>
  <li>
   2 years of experience with data structures and algorithms.
  </li>
  <li>
   Experience in developing accessible technologies.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About the job
 </strong>
 Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We&rsquo;re made up of multiple teams, building Google&rsquo;s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Write product or system development code.
  </li>
  <li>
   Collaborate with peers and stakeholders through design and code reviews to ensure best practices among available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  </li>
  <li>
   Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  </li>
  <li>
   Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  </li>
  <li>
   Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>


Software Engineer III, AI/ML

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity apply your skills and have a direct impact on global business. You will be building production-grade ML services, developing end-to-end data pipelines, and integrating them as part of the overall inference architecture. You will have the opportunity to work with traditional AI/ML techniques as well as GenAI.</p><p>
As a Machine Learning Software Engineer II at JPMorgan Chase within the Corporate Oversight and Governance Technology AI/ML team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm&rsquo;s business objectives.
</p><p><b>Job responsibilities</b></p><ul><li>
Work with product managers, data scientists, ML engineers, and other stakeholders to understand requirements.</li><li>
Develop, and deploy state-of-the-art AI/ML/LLM/GenAI based inference solutions to meet business objectives.</li><li>
Develop and maintain pipelines for infrastructure provisioning on public cloud.</li><li>
Develop and maintain pipelines for model deployment, ensuring scalability, reliability, and efficiency.</li><li><p>
Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences.</p><p>
</p></li></ul><p><b>Required qualifications, capabilities and skills</b></p><ul><li>
Bachelor's or Master's degree in Computer Science, Engineering, or a related field</li><li>
2+ years of demonstrated experience in applied AI/ML engineering, with a track record of developing and deploying solutions in production.</li><li>
Experience provisioning infrastructure and dependencies on cloud computing platforms.</li><li>
Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API.</li><li>
Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, Scikit-learn, OpenAI, etc.</li><li>
Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects.</li></ul><p>
<b>Preferred qualifications, capabilities, and skills</b></p><ul><li>
Familiarity with the financial services industries.</li><li>
A portfolio showcasing successful applications of generative models in NLP projects, including examples of utilizing OpenAI APIs for prompt engineering.</li><li>
API design and development experience.</li><li>
Experience with Infrastructure-as-code tools like Terraform.</li><li>
Exposure to AWS is preferred.</li></ul>
<b>ABOUT US</b><div><br>
<p>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.<br>
<br>
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p></div><br>
<br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Applied AI ML Associate

careem

<div>
<p>About the team:  <br></p>
<p>The AI Acceleration Office builds the intelligence layer that powers Careem s ecosystem, and we are looking for a Senior Software Engineer to drive architecture and development of it. Our mission is to drive competitive value through an Agentic AI Platform, a system that can design, orchestrate, and manage autonomous AI agents across customer and operational journeys. </p>
 About the role: <br><p></p>
<p>As a Senior Software Engineer, you ll lead the architecture and development of the AI Agent Creation and Management Platform, an intelligent layer that enables scalable agent creation, orchestration, lifecycle management, and performance monitoring. You ll work across<strong>backend </strong>systems, AI infrastructure, and data orchestration, designing abstractions that connect LLMs, context, memory, and state into real-time adaptive agents. This is a hands-on leadership role, you ll design systems, ship code, mentor engineers, and influence Careem s long-term AI platform strategy./p&gt;
</p>
<p style="">What you ll do: </p>
<ul style="">
<li>
<p>Architect and implement the foundational services for Careem s Agentic AI Platform, covering agent creation APIs, orchestration pipelines, state machines, and monitoring layers./p&gt;
</p>
</li>
<li>
<p>Design abstractions for multi-agent collaboration, memory persistence, and reasoning cycles integrated./p&gt;
</p>
</li>
<li>
<p>Build scalable orchestration frameworks (LangGraph, or custom) that coordinate model calls, context injection, and multi-turn workflows across internal and external agents./p&gt;
</p>
</li>
<li>
<p>Develop observability and governance systems for AI agents: tracing, metrics, auditing, and self-healing./p&gt;
</p>
</li>
<li>
<p>Integrate LLM-based and retrieval-augmented components into backend services with strict latency, reliability, and compliance requirements./p&gt;
</p>
</li>
<li>
<p>Work with data scientists and ML engineers to operationalize models (embedding stores, vector databases, evaluation pipelines, model versioning)./p&gt;
</p>
</li>
<li>
<p>Establish standards for agent safety, lifecycle management, and deployment reliability across Careem s product ecosystem./p&gt;
</p>
</li>
<li>
<p>Mentor engineers and shape platform-wide engineering practices around AI integration and distributed systems design./p&gt;
</p>
</li>
</ul>
<p style="">What you ll need: </p>
<ul style="">
<li style="">
<p>6+ years of backend or distributed systems engineering experience, with 2 3 years in AI/ML infrastructure or LLM-based systems./p&gt;
</p>
</li>
<li style="">
<p>Deep hands-on experience in Python and Go, with production experience in building scalable, event-driven architectures./p&gt;
</p>
</li>
<li style="">
<p>Expertise in orchestration and distributed compute (Kubernetes)./p&gt;
</p>
</li>
<li style="">
<p>Experience in building end-to-end event-drive architecture and data pipelines (Kafka, Airflow and Flink)/p&gt;
</p>
</li>
<li style="">
<p>Familiarity with agentic frameworks (LangGraph, LangChain, AutoGen) and design of multi-agent or RAG systems./p&gt;
</p>
</li>
<li style="">
<p>Experience in integrating LLMs and vector stores (FAISS, Pinecone, Weaviate, Milvus) into backend applications./p&gt;
</p>
</li>
<li style="">
<p>Solid understanding of model and agent observability, monitoring, and continuous evaluation./p&gt;
</p>
</li>
<li style="">
<p>Strong architectural skills, capable of designing systems that balance scalability, cost, and experimentation velocity./p&gt;
</p>
</li>
<li style="">
<p>Experience working with data streaming, metrics, and real-time feedback loops./p&gt;
</p>
</li>
<li style="">
<p style="">Growth mindset and bias for ownership, you thrive in high-autonomy, fast-paced, and purpose-driven environments./p&gt;
</p>
</li>
</ul>
</div>

Senior Software Engineer II - AI Platform

Quizlet

<div><div><b>About Quizlet:</b></div><div></div><div><br>
At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two-thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly.</div><div></div><div><br>
We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We&rsquo;re energized by the potential to power more learners through multiple approaches and various tools.</div><div></div><div><b><br>
Let&rsquo;s Build the Future of Learning</b></div><div>
Join us to design and deliver AI-powered learning tools that scale across the world and unlock human potential.</div><div></div><div><br>
About the Team:</div><div></div><div><br>
The AI &amp; Data Platform team's mission is to build and maintain a rock-solid, scalable, and efficient foundation for all data and machine learning operations at Quizlet. This team is the bedrock upon which our AI ambitions are built. As we consolidate our AI efforts to create a unified and powerful product portfolio, the platform team's primary focus is on achieving operational excellence. We aggressively buy and leverage best-in-class MLOps and DataOps technologies to accelerate the pace of innovation across Quizlet.</div><div></div><div><br>
About the Role:</div><div></div><div><br>
As an AI &amp; Data Platform Engineer, you will help lead the design and development of Quizlet&rsquo;s analytical data and machine learning infrastructure, ensuring our platforms are scalable, reliable, and designed for long-term success. You&rsquo;ll partner closely with cross-functional teams to define technical direction, guide architectural decisions, and mentor engineers across Data Science, ML Engineering, and Product. This role requires strong technical depth, strategic thinking, and the ability to deliver systems that accelerate ML and Data innovation. You will measure success through platform adoption, reliability improvements, and developer productivity outcomes.</div><div></div><div><br>
We&rsquo;re happy to share that this is an<b> onsite position</b> in our San Francisco office. To help foster team collaboration, we require that employees be in the office a <b>minimum of three days per week</b>: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization.</div>
<h3 class="jobSectionHeader"><b>In this role, you will:</b></h3><ul><li>
Accelerate and amplify the work of our Machine Learning Engineers by building ML infrastructure that streamlines the development, testing, and deployment of machine learning models to production</li><li>
Collaborate with cross-functional teams, including Product Management, Data Analytics, and Product Engineering, to build systems that support a diverse range of data needs</li><li>
Build tools and services that improve developer efficiency and platform usability</li><li>
Enable the ingestion and processing of large-scale data, from real-time streaming to batch processing, by developing and implementing scalable and resilient services, platform, and infrastructure</li><li>
Own projects end-to-end, from conceptualization to launch and deployment</li><li>
Partner with Product Engineers and Data Scientists to ensure that critical data is delivered to its destination with maximum availability, recoverability, and operational efficiency</li><li>
Design and deliver reliable data and ML infrastructure, contributing to the team&rsquo;s roadmap and collaborating across functions to enable data-driven features and insights</li></ul><h3 class="jobSectionHeader"><b>
What you bring to the table:</b></h3><ul><li>
5-8+ years of experience building and maintaining large-scale data or ML platforms in production environments</li><li>
Experience contributing to team-wide best practices and advocating for reliability and efficiency in data workflows</li><li>
Deep experience with distributed systems, data pipelines, and ML infrastructure (e.g., Airflow, dbt, GCP, Kubernetes, feature stores)</li><li>
Excellent communication skills with the ability to influence and align diverse stakeholders</li></ul><h3 class="jobSectionHeader"><b>
Bonus points if you have:</b></h3><ul><li>
Experience owning platform architecture</li><li>
Expertise in cross-cloud data infrastructure or hybrid orchestration</li><li>
Contributions to open-source data/ML tooling or internal frameworks</li><li>
Demonstrated impact on developer experience or data reliability culture</li></ul><h3 class="jobSectionHeader"><b>
Compensation, Benefits &amp; Perks:</b></h3><ul><li>
Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $204,000 - $285,000, depending on location and experience, as well as company stock options</li><li>
Collaborate with your manager and team to create a healthy work-life balance</li><li>
20 vacation days that we expect you to take!</li><li>
Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice)</li><li>
Employer-sponsored 401k plan with company match</li><li>
Access to LinkedIn Learning and other resources to support professional growth</li><li>
Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits</li><li>
40 hours of annual paid time off to participate in volunteer programs of choice</li></ul><div><b>
Why Join Quizlet?</b></div><div></div><div><br>
 \uD83C\uDF0E Massive reach: 60M+ users, 1B+ interactions per week</div><div>
 \uD83E\uDDE0 Cutting-edge tech: Generative AI, adaptive learning, cognitive science</div><div>
 \uD83D\uDCC8 Strong momentum: Top-tier investors, sustainable business, real traction</div><div>
 \uD83C\uDFAF Mission-first: Work that makes a difference in people&rsquo;s lives</div><div>
 \uD83E\uDD1D Inclusive culture: Committed to equity, diversity, and belonging</div><div></div><div><b><i><br>
We strive to make everyone feel comfortable and welcome!</i></b></div><div>
We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership.</div><div></div><div><br>
We provide a transparent setting that gives a comprehensive view of who we are!</div><div></div><div><b><br>
In Closing:</b></div><div></div><div><br>
At Quizlet, we&rsquo;re excited about passionate people joining our team&mdash;even if you don&rsquo;t check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.&rdquo;</div><div></div><div><br>
Quizlet&rsquo;s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion.</div><div></div><div><br>
As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us!</div><div></div><div><b><br>
To All Recruiters and Placement Agencies:</b></div><div></div><div><br>
At this time, Quizlet does not accept unsolicited agency resumes and/or profiles.</div><div>
Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.</div><div>
#LI-FT</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Sr./Staff AI & Data Platform Engineer

Codeway

<div>
 <strong>
  About Codeway
  <br/>
 </strong>
 Codeway is a global consumer tech company with more than 400M users worldwide.
 <br/>
 <br/>
 Since 2020, we&rsquo;ve built and scaled 60+ mobile apps across creativity, productivity, wellness, language learning, and entertainment.
 <br/>
 <br/>
 Our flagship apps &mdash; Retake AI, Cleanup, Learna, and DramaPops &mdash; and many of them lead their categories globally. In 2024, we became the most downloaded app publisher on iOS, driven by cutting-edge AI research, sharp data-driven execution, and a relentless focus on product and marketing.
 <br/>
 <br/>
 We&rsquo;re a team of 300+ people across &Idot;stanbul and Barcelona who bring curiosity, passion, trust, and ownership to everything we build. Recognized as a #1 LinkedIn Top Startup and a Great Place to Work in Europe, Codeway is where ambitious people do their life&rsquo;s best work.
 <br/>
 <br/>
 We&rsquo;re building the next generation of consumer tech and reimagining what mobile apps can be.
 <br/>
 <br/>
 This is Codeway. This is our way. Join us.
 <br/>
 <br/>
 <strong>
  POSITION
  <br/>
  <br/>
 </strong>
 We are seeking an MLOps / Platform Engineer to design, build, and scale our GPU-enabled AI/ML infrastructure. This role will empower our AI researchers, data engineers, and product teams by providing them with robust, Kubernetes-based platforms for containerized workloads.
 <br/>
 <br/>
 The ideal candidate has a platform engineering mindset&mdash;focused on enabling teams through self-service tooling, automation, and reliability. You will take ownership of our GPU infrastructure, ensuring workloads scale efficiently, pipelines run smoothly, and deployments are reliable across environments.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Be Doing
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and operate Kubernetes-based GPU infrastructure for AI/ML research and production workloads.
  </li>
  <li>
   Provide self-service deployment capabilities to AI researchers, data engineers, and product teams.
  </li>
  <li>
   Implement and manage continuous delivery pipelines using Kubernetes-native deployment tools (e.g., ArgoCD).
  </li>
  <li>
   Configure and optimize GPU workloads (CUDA, drivers, device plugins, and scheduling strategies).
  </li>
  <li>
   Implement autoscaling strategies for both CPU and GPU workloads on Kubernetes clusters.
  </li>
  <li>
   Partner with data teams to ensure platforms are tailored to data pipelines, training workflows, and ML model lifecycle needs.
  </li>
  <li>
   Contribute to the adoption of ML orchestration and experiment tracking platforms (e.g., Kubeflow, MLflow, ClearML, Anyscale).
  </li>
  <li>
   Support notebook environments for experimentation (e.g., JupyterHub).
  </li>
  <li>
   Act as a platform engineering lead for AI/ML workloads&mdash;adopting the best practices, reliability, and cost-efficiency.
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong hands-on experience with Kubernetes (designing, operating, and troubleshooting clusters).
  </li>
  <li>
   Proven experience deploying workloads with ArgoCD or similar GitOps tools.
  </li>
  <li>
   Exposure to ML platforms such as Kubeflow, MLflow, ClearML, or Anyscale.
  </li>
  <li>
   Prior experience working with data engineering teams or ML model lifecycle management.
  </li>
  <li>
   Experience enabling notebook-based workflows (JupyterHub, SageMaker Studio, etc.).
  </li>
  <li>
   Knowledge of cloud platforms (AWS, GCP, or Azure) and their GPU offerings.
  </li>
  <li>
   Strong collaboration and communication skills&mdash;able to partner effectively with researchers, engineers, and product teams.
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice To Haves
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Hands-on experience with GPU configuration, CUDA, or NVIDIA ecosystem tools (NCCL, Triton Inference Server).
  </li>
  <li>
   Knowledge of autoscaling patterns for AI/ML workloads on Kubernetes (KEDA, HPA, VPA, custom controllers).
  </li>
  <li>
   Experience with observability and monitoring tools (Prometheus, Grafana, Loki, ELK, etc.).
  </li>
  <li>
   Solid understanding of containerization (Docker, OCI) and CI/CD pipelines.
  </li>
  <li>
   Familiarity with infrastructure as code (Terraform, Helm, Kustomize).
  </li>
  <li>
   Background in platform engineering, SRE, or DevOps with a focus on enabling other teams.
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What&rsquo;s In It For You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Great Place to Work. As our top team member, you'll be a part of a fast-growing startup and have the privilege to enjoy our accredited &ldquo;BEST WORKPLACES&rdquo; environment, ranked first among all workplaces.
  </li>
  <li>
   A Competitive Compensation Package. Long story short, we take care of you.
  </li>
  <li>
   A Meal Compensation that is actually enough for a decent &amp; nutritious lunch, we&rsquo;re not following the industry standard.
  </li>
  <li>
   Full Health Benefits. To keep you away from all the trouble, we provide unlimited private health insurance and cover the HPV vaccine.
  </li>
  <li>
   Pet Adoption Support. We cover the primary healthcare expenses, parasite vaccinations, and microchip costs that may arise within the first year after employees adopt a pet.
  </li>
  <li>
   Cool Tech Stack. Macbook, iPhone 15 Pro, magic mouse, magic keyboard; an adjustable desk with a 4K screen and any other gadget you may need in your job.
  </li>
  <li>
   Sport Activities Support. We care about your physical wellbeing and support your gym membership.
  </li>
  <li>
   Learning Never Ends! Training budget to help you grow in your role, gain new skills, and learn new things!
  </li>
  <li>
   Udemy Free Pass. An unlimited Udemy subscription.
  </li>
  <li>
   Flexible Schedule &amp; Unlimited Vacations. This isn&rsquo;t a &ldquo;clock in, clock out&rdquo; company. We care about your productivity, not tracking every minute you&rsquo;re on site. It&rsquo;s up to you to always be responsible with your work, no matter where you are or what schedule you&rsquo;re keeping.
  </li>
  <li>
   English Course Support. Be more global and perform best at your work.
  </li>
  <li>
   Comprehensive Well-being Support. Through our partnership with Meditopia, we now offer free psychological counseling, along with additional services like dietitian, personal trainer, parenting consultant, physiotherapist, child &amp; adolescent therapist, and face-to-face counseling for employees in Istanbul.
  </li>
  <li>
   A Top-Notch Office. Located at the heart of Istanbul, right next to Levent Metro Station at Ferko Signature.
  </li>
  <li>
   Codebrew. Yes, you&rsquo;ve heard it right: We love coffee so much that we&rsquo;ve built our own coffee shop inside our office, where we also provide healthy snacks at certain hours.
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  <li>
   Free Breakfast. At Codebrew - every morning at 9:30 AM.
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  <li>
   No Dress Code. Dress as you like.
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  <li>
   Happy Hours Every Friday. Every. Single. Friday. When it&rsquo;s 5 PM: Screens off, party on! (Check out Codeway on Instagram)
  </li>
  <li>
   Dream Team. Average Codeway member is young, talented, and passionate - which makes our working environment extremely dynamic. Need proof? Take a look at our Instagram.
  </li>
  <li>
   Gaming Area. Whenever you need to take a break from hard work and relax with your favorite games, our PS5 corner will be waiting for you.
  </li>
  <li>
   Software Support. Subscription to any software you might need to perform at your best.
  </li>
  <li>
   Public Transportation Support. Daily public transportation support is on us, covered by an additional monthly compensation.
  </li>
  <li>
   Parent Support. Becoming a parent is a big moment, and Codeway celebrates it with you. We offer a one-time grant to support our new parents.
  </li>
  <li>
   Massage Room. When you need a moment to recharge and unwind, our massage chair room will be ready to offer you a relaxing break.
   <br/>
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   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  THE RECRUITING PROCESS
  <br/>
  <br/>
 </strong>
 We are committed to keeping our recruitment process short and transparent. Here&rsquo;s how it looks like:
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   Application: Send us your CV or LinkedIn profile. You can also just write a few words about yourself.
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  <li>
   Case Study: We might send you a task to solve.
  </li>
  <li>
   Talent &amp; Culture Interview: Let&rsquo;s talk about your experience &amp; expectations and see what we can achieve together.
  </li>
  <li>
   Technical Interview: You will meet with future team lead to go over the case and your technical capabilities in detail.
  </li>
  <li>
   Reference Check: We will contact your references to gain insights into your past experiences and work ethic.
  </li>
  <li>
   Welcome Aboard! You are now a part of the team.
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   <br/>
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   <br/>
  </li>
 </ul>
 <em>
  Your personal data that will be collected through your applications made due to this advertisement will be processed automatically by the data controller Codeway in accordance with the Personal Data Protection Law No. 6698 ("KVKK") and relevant legislation for the purpose of conducting job application processes. You can access detailed information on this matter from the
 </em>
 <strong>
  <em>
   "Candidate Information Notice"
  </em>
 </strong>
 <em>
  page at
 </em>
 <em>
  https://www.codeway.co
 </em>
 <em>
  . Codeway processes the personal data of job applicants in accordance with relevant legislation. "
 </em>
 <strong>
  <em>
   Privacy Notice for Employee Candidate
  </em>
 </strong>
 "
 <em>
  summarizes the data processing procedures during the application process.
  <br/>
  <br/>
 </em>
 <em>
  Bu ilan sebebiyle yapaca&gbreve;&inodot;n&inodot;z ba&scedil;vurular arac&inodot;l&inodot;&gbreve;&inodot;yla toplanacak ki&scedil;isel verileriniz veri sorumlusu Codeway taraf&inodot;ndan 6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu (&ldquo;KVKK&rdquo;) ve ilgili mevzuat kapsam&inodot;nda i&scedil; ba&scedil;vuru s&uuml;re&ccedil;lerinin y&uuml;r&uuml;t&uuml;lmesi amac&inodot;yla otomatik yollarla i&scedil;lenecektir. Detayl&inodot; bilgiye
 </em>
 <em>
  https://www.codeway.co
 </em>
 <em>
  adresindeki
 </em>
 <em>
  <strong>
   "Aday Ayd&inodot;nlatma Metnimizin"
  </strong>
 </em>
 <em>
  sayfas&inodot;ndan ula&scedil;abilirsiniz. Codeway, i&scedil; ba&scedil;vurusu yapan adaylar&inodot;n ki&scedil;isel verilerini, ilgili mevzuat &ccedil;er&ccedil;evesinde i&scedil;lemektedir.
 </em>
 <strong>
  <em>
   "&Ccedil;al&inodot;&scedil;an Aday&inodot; &Idot;&ccedil;in Gizlilik Bildirimi"
  </em>
 </strong>
 <em>
  ba&scedil;vuru s&uuml;recindeki veri i&scedil;leme s&uuml;re&ccedil;lerini &ouml;zetler.
  <br/>
  <br/>
 </em>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>


MLOps/Platform Engineer

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
What if you could help build something that's never existed before? At Annapurna Labs, an Amazon company, we're not just participating in the AI revolution &ndash; we're accelerating it. We design custom silicon and revolutionary software systems that were considered impossible just yesterday, powering the world's most advanced AI infrastructure at AWS. From training the largest language models on Earth to developing breakthrough ML accelerator chips, we're inventing the future of cloud computing.<br>
<br>
We're seeking bold innovators and builders for our 2026 Early Career roles. This isn't your typical early career role - at Annapurna Labs, you'll work on projects that directly impact millions of AWS customers worldwide, tackling real technical challenges that push the boundaries of what's possible in AI acceleration. Our program offers multiple technical tracks, matching your skills and interests with projects across our organization.
<br>
<br>
Want to architect next-generation AI chips that process billions of parameters? Build distributed systems that scale across thousands of accelerators? Create compiler optimizations that make ML training blazingly fast? Whether your passion lies in hardware design, distributed systems, compiler development, or ML infrastructure, we'll help you find your perfect fit and make meaningful contributions from day one.<br>
<br>
Some of our technical tracks include:<br>
<br>
ML Systems &amp; Compilers<br>
<ul><li>Framework Optimization (PyTorch, JAX)</li><li>Compiler Development &amp; Optimization</li><li>Distributed Training Systems</li><li>Performance Engineering</li><li>ML Infrastructure Development</li></ul><br>
Systems Software &amp; Infrastructure<br>
<ul><li>Firmware &amp; Driver Development</li><li>Runtime Systems</li><li>Fleet Management &amp; Automation</li><li>Hardware/Software Integration</li><li>Performance Analysis Tools</li></ul><br>
Silicon Innovation &amp; Design<br>
<ul><li>RTL Development for ML Accelerators</li><li>Hardware Architecture &amp; Modeling</li><li>Physical Design &amp; Power Optimization</li><li>Custom Circuit Design</li><li>Pre/Post Silicon Validation</li></ul><br>
Your placement will be determined through our interview process, taking into account your technical background, interests, and the exciting projects we have in development. One application opens the door to all these opportunities, so we'll work together to find where you can learn the most and have the biggest impact.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Experience programming languages such as C/C++, Python, Java or Perl</li><li>Recent or upcoming graduate (within 12 months) with BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related technical field</li><li>Experience in two or more of the following areas: 1. Hardware design (RTL, Verilog, FPGA development) 2. Systems programming or low-level software development 3. Compiler design or optimization 4. Machine learning frameworks (PyTorch, JAX, TensorFlow) 5. Distributed systems or parallel computing 6. Performance analysis and optimization</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Previous industry, internship, research, or project experience in hardware/software co-design, ML systems, or computer architecture</li><li>Contributions to open-source projects or research publications</li><li>Completed or currently enrolled in coursework covering machine learning, parallel computing, computer architecture and/or compiler construction</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
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Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $99,500/year in our lowest geographic market up to $200,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

2026 Annapurna Labs at AWS, Early Career (US) - Silicon & AI Systems Innovation

Search 10000+ Ml infrastructure engineer jobs near you this November. New roles added regularly across leading industries. Apply today.