5 Ray.Io Jobs

N-iX is a global software development service company that helps businesses across the world develop successful software products. Founded in 2002, N-iX has come a long way, expanding its presence across Europe, the US, and Latin America. Today, we are a strong community of 2,000+ professionals and a reliable partner for global industry leaders and Fortune 500 companies. Our client is a global commerce leader where you can influence how the world buys, sells, and gives. Youll be part of a work culture thats been genuinely committed to diversity and inclusion since its founding over twenty five years ago. Here, you can be yourself, do your best work along with a team of professionals, and have a meaningful impact on people across the globe. We seek people with drive, ideas, and a passion for helping small businesses succeed to help. N-iX is looking for a Senior AI/ML Platform Engineer to join our AI Platform Team . You will work on building and scaling the next-generation AI infrastructure, helping researchers and data scientists run training and inference efficiently. A key focus is Ray.io and distributed ML workloads. Responsibilities: Build and support ML infrastructure for training and inference at scale (Ray.io, PyTorch, TensorFlow). Partner with infrastructure and security teams to ensure high availability (99.999%) and reliability. Troubleshoot and resolve production issues (performance, compatibility, framework upgrades). Automate deployment, monitoring, and CI/CD pipelines (Kubernetes, Docker, Jenkins). Deliver solutions that accelerate engineers work through automation. Contribute to documentation and best practices for MLOps. Collaborate with internal teams and researchers to diagnose and resolve technical issues. Provide guidance and knowledge-sharing sessions to improve operational excellence. Requirements: 5+ years of experience in Python software engineering. Hands-on experience with Ray.io for distributed training/inference. Strong background with ML frameworks: PyTorch, TensorFlow, Triton. Solid knowledge of Kubernetes, Docker, Linux fundamentals. Experience with DevOps practices (CI/CD, test automation, monitoring). Good debugging and triaging skills. Strong communication and collaboration abilities in English. Would be a plus: Experience with LLM fine-tuning and inference optimization. Previous work with AI/ML infrastructure at scale. We offer*: Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits *not applicable for freelancers

N-iX is a global software development service company that helps businesses across the world develop successful software products. Founded in 2002, N-iX has come a long way, expanding its presence across Europe, the US, and Latin America. Today, we are a strong community of 2,000+ professionals and a reliable partner for global industry leaders and Fortune 500 companies. Our client is a global commerce leader where you can influence how the world buys, sells, and gives. Youll be part of a work culture thats been genuinely committed to diversity and inclusion since its founding over twenty five years ago. Here, you can be yourself, do your best work along with a team of professionals, and have a meaningful impact on people across the globe. We seek people with drive, ideas, and a passion for helping small businesses succeed to help. N-iX is looking for Senior MLOps Engineer who is passionate about driving major transformation within the AI organization to join the AI Platform Team. This role will support the AI Platform and services that provide machine learning infrastructure to researchers and data scientists across the company. You'll be expected to stay in touch with the latest technology development and drive implementation of DevOps practices across the organization and provide customer support. Responsibilities: Be a member of our AI Platform Team, supporting the next generation AI architecture for various research and engineering teams within the organization. Partner with vendors and the infrastructure engineering team for security and service availability. Fix production issues with engineering teams, researchers, data scientists, including performance and functional issues. Diagnose and solve customer technical problems. Participate in training customers and prepare reports on customer issues. Be responsible for customer service improvements and recommend product improvements. Write support documentation. Design and implement zero-downtime to monitor and accomplish a highly available service (99.999%). As a support engineer, find opportunities to automate as part of the problem management process, creating automation to avoid issues. Define engineering excellence for operational maturity. Work together with AI platform developers to provide the CI/CD model to deploy and configure the production system automatically. Develop and follow operational standard processes for tools and automation development, including style guides, versioning practices, source control, branching and merging patterns and advising other engineers on development standards. Deliver solutions that accelerate the activities, phenomenal engineers would perform through automation, deep domain expertise, and knowledge sharing. Requirements: At least 5 years of experience in designing, building, refactoring and releasing software written in Python. Hands-on experience with ML frameworks such as PyTorch, TensorFlow, Triton. Ability to handle framework-related issues, version upgrades, and compatibility with data processing / model training environments. Debugging and triaging skills. Cloud technologies like Kubernetes, Docker and Linux fundamentals. Familiar with DevOps practices and continuous testing. DevOps pipeline and automations: app deployment/configuration & performance monitoring. Test automations, Jenkins CI/CD. Excellent communication, presentation, and leadership skills to be able to work and collaborate with partners, customers and engineering teams. Well organized and able to manage multiple projects in a fast paced and demanding environment. Good oral/reading/writing English ability. Would be a plus : Experience with AI/ML model training and inferencing platforms. Experience with the LLM fine tuning system. We offer*: Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits *not applicable for freelancers

Job Functions You will be a member of our AI Platform Team, supporting the next generation AI architecture for various research and engineering teams within the organization. You'll partner with vendors and the infrastructure engineering team for security and service availability. You'll fix production issues with engineering teams, researchers, data scientists, including performance and functional issues. Diagnose and solve customer technical problems. Participate in training customers and prepare reports on customer issues. Be responsible for customer service improvements and recommend product improvements. Write support documentation. You'll design and implement zero-downtime to monitor and accomplish a highly available service (99.999%). As a support engineer, find opportunities to automate as part of the problem management process, creating automation to avoid issues. Define engineering excellence for operational maturity. You'll work together with AI platform developers to provide the CI/CD model to deploy and configure the production system automatically. Develop and follow operational standard processes for tools and automation development, including style guides, versioning practices, source control, branching and merging patterns and advising other engineers on development standards. Deliver solutions that accelerate the activities phenomenal engineers would perform through automation, deep domain expertise, and knowledge sharing. Required Skills Demonstrated ability in designing, building, refactoring and releasing software written in Python, C++. Hands-on experience with Ray.io, including workload management, cluster deployment, distributed task scheduling, and troubleshooting. Ability to use Ray Dashboard and CLI tools for monitoring, resource tracking, debugging distributed jobs, and resolving production issues. Having knowledge of Ray ecosystem libraries such as Ray Train, Ray Tune, Ray Serve, and Ray Data is a big plus. Experience integrating Ray with tools such as Airflow, MLflow, Dask, DeepSpeed is a big plus. Debugging and triaging skills. Cloud technologies like Kubernetes, Docker and Linux fundamentals. Familiar with DevOps practices and continuous testing. DevOps pipeline and automations: app deployment/configuration and performance monitoring. Test automations, Jenkins CI/CD. Excellent communication, presentation, and leadership skills to be able to work and collaborate with partners, customers and engineering teams. Well organized and able to manage multiple projects in a fast paced and demanding environment. Good oral/reading/writing English ability. We offer*: Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits

Job Functions: You will be a member of our AI Platform Team, supporting the next generation AI architecture for various research and engineering teams within the organization. You'll partner with vendors and the infrastructure engineering team for security and service availability You'll fix production issues with engineering teams, researchers, data scientists, including performance and functional issues Diagnose and solve customer technical problems Participate in training customers and prepare reports on customer issues Be responsible for customer service improvements and recommend product improvements Write support documentation You'll design and implement zero-downtime to monitor and accomplish a highly available service (99.999%) As a support engineer, find opportunities to automate as part of the problem management process, creating automation to avoid issues. Define engineering excellence for operational maturity You'll work together with AI platform developers to provide the CI/CD model to deploy and configure the production system automatically Develop and follow operational standard processes for tools and automation development. Including: Style guides, versioning practices, source control, branching and merging patterns and advising other engineers on development standards Deliver solutions that accelerate the activities, phenomenal engineers would perform through automation, deep domain expertise, and knowledge sharing Required Skills: Demonstrated ability in designing, building, refactoring and releasing software written in Python, C++. Hands-on experience with Ray.io, including workload management, cluster deployment, distributed task scheduling, and troubleshooting. Ability to use Ray Dashboard and CLI tools for monitoring, resource tracking, debugging distributed jobs, and resolving production issues. Having knowledge of Ray ecosystem libraries such as Ray Train, Ray Tune, Ray Serve, and Ray Data is a big plus. Experience integrating Ray with tools such as Airflow, MLflow, Dask, DeepSpeed is a big plus. Debugging and triaging skills. Cloud technologies like Kubernetes, Docker and Linux fundamentals. Familiar with DevOps practices and continuous testing. DevOps pipeline and automations: app deployment/configuration & performance monitoring. Test automations, Jenkins CI/CD. Excellent communication, presentation, and leadership skills to be able to work and collaborate with partners, customers and engineering teams. Well organized and able to manage multiple projects in a fast paced and demanding environment. Good oral/reading/writing English ability.

Job Description: Sr. Software Engineer (Python) Company: Karini AI Location: Pune (Wakad) Experience Required: 3 - 5 years Compensation: Not Disclosed Role Overview : We are seeking a skilled Sr. Software Engineer with advanced Python skills with a passion for product development and a knowledge of Machine Learning and/or Generative AI. You will collaborate with a talented team of engineers and AI Engineers to design and develop high-quality Generative AI platform on AWS. Key Responsibilities : Designed and developed backend applications and APIs using Python. Work on product development, building robust, scalable, and maintainable solutions. Integrate Generative AI models into production environments to solve real-world problems. Collaborate with cross-functional teams, including data scientists, product managers, and designers, to understand requirements and deliver solutions. Optimize application performance and ensure scalability across cloud environments. Write clean, maintainable, and efficient code while adhering to best practices. Requirements : 3-5 years of hands-on experience in Product development. Demonstrable experience in understanding advanced python concepts for building scalable systems. Demonstrable experience working with FastAPI server in production environment. Familiarity with unit testing, version control and CI/CD Good understanding of Machine Learning concepts and frameworks (e.g., TensorFlow, PyTorch). Experience with integrating and deploying ML models into applications is a plus. Knowledge of database systems (SQL/NoSQL) and RESTful API development. Exposure to containerization (Docker) and cloud platforms (AWS). Strong problem-solving skills and attention to detail. Preferred Qualifications : Bachelor of Engineering in Computer Science, Information Technology, or any other engineering discipline. M.Tech, M.E. & B.E-Computer Science preferred. Hands-on experience in product-focused organizations. Experience working with data pipelines or data engineering tasks. Knowledge of CI/CD pipelines and DevOps practices. Familiarity with version control tools like Git. Interest or experience in Generative AI or NLP applications. What We Offer: Top-tier compensation package, aligned with industry benchmarks. Comprehensive employee benefits including Provident Fund (PF) and medical insurance. Experience working with Ex-AWS founding team with the fastest growing company. Work on innovative AI-driven products that solve complex problems. Collaborate with a talented and passionate team in a dynamic environment. Opportunities for professional growth and skill enhancement in Generative AI A supportive, inclusive, and flexible work culture that values creativity and ownership.