4 Ml Platform Jobs

Qualcomm India Private Limited is a leading technology innovator that creates next-generation experiences and drives digital transformation to build a smarter, connected future. As a Qualcomm Software Engineer, you will work on designing, developing, modifying, and validating embedded and cloud edge software, applications, and specialized utility programs to deliver cutting-edge products that exceed customer expectations. Collaboration with systems, hardware, architecture, test engineers, and other teams is essential to design system-level software solutions and gather information on performance requirements and interfaces. As an MLOps Engineer at Qualcomm, you will play a crucial role in developing and maintaining the ML platform on premises and AWS Cloud. Your responsibilities include architecting, deploying, and optimizing the ML & Data platform supporting Machine Learning Models training using NVIDIA DGX clusters and Kubernetes. Expertise in AWS services like EKS, EC2, VPC, IAM, S3, and EFS will be vital for ensuring the smooth operation and scalability of the ML infrastructure. Working closely with cross-functional teams, you will design and implement reliable infrastructure solutions for NVIDIA clusters, collaborate with data scientists and software engineers to integrate ML and Data workflows, optimize platform performance, monitor system performance, and implement CI/CD pipelines for automated model training and deployment. Your role also involves managing AWS services, implementing logging and monitoring solutions, and staying updated with the latest advancements in MLOps and GPU acceleration technologies to enhance the ML platform. Qualcomm is looking for candidates with a Bachelor's or Master's degree in Computer Science, Engineering, or related field, proven experience as an MLOps Engineer with a focus on large-scale ML infrastructure, strong expertise in NVIDIA DGX clusters, proficiency in Kubernetes and associated technologies, programming skills in Python and Go, understanding of distributed computing and GPU acceleration, familiarity with containerization technologies, CI/CD pipelines, AWS services, and problem-solving skills. Excellent communication and collaboration abilities are essential to work effectively in a cross-functional team. Desired qualifications include experience with model training and deployment, knowledge of ML model optimization techniques, familiarity with ML-specific data storage systems, understanding of security and compliance in ML infrastructure. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. If you would like more information about this role, please contact Qualcomm Careers.,

Job Title: AI Platform Architect Location: Pune (Hybrid) Experience Required: 10+ Years Functional Area: IT Software AI/ML, Architecture & Platform Engineering Education: B.Tech/B.E. in CS/IT or related field; Masters degree preferred Job Description We are hiring an experienced AI Platform Architect to lead the design and evolution of its AI/ML platform. The role focuses on enabling AI delivery at scale across cloud and edge, driving efficiency, security, and agility throughout the ML lifecycle. Roles & Responsibilities Define and maintain the reference architecture for an enterprise AI/ML platform, including data pipelines, model training, CI/CD, and observability. Build reusable platform services like model registries, training environments, orchestration frameworks, and experiment tracking systems. Develop self-service interfaces (API/CLI/UI) for scalable, secure platform consumption by engineering teams. Collaborate across AI/ML teams, enterprise architects, and product engineering to ensure platform integration and adoption. Design deployment strategies for cloud, internal APIs, dashboards, and embedded edge systems . Implement governance and technical standards for lifecycle management, performance, and reusability. Serve as a technical leader , contributing to platform strategy, roadmap, and architecture best practices. Key Skills Required 10+ years in Software / ML Platform / Infrastructure Engineering 3+ years in AI Platform or MLOps Architecture roles Strong hands-on experience with GCP cloud-native tools : Vertex AI, GKE, Cloud Run, Artifact Registry, Pub/Sub Experience with CI/CD for ML (e.g., GitHub Actions, Kubeflow, Terraform) Strong skills in Kubernetes, Docker , and secure container management Deep understanding of model lifecycle management (training, versioning, deployment, monitoring) Familiarity with tools like Airflow , feature stores , dataset management Excellent architectural and system design capabilities Proven ability to work across multiple teams and influence technical decisions

Qualcomm India Private Limited is looking for a highly skilled and experienced MLOps Engineer to join their team and contribute to the development and maintenance of their ML platform both on premises and AWS Cloud. As a MLOps Engineer, your responsibility will include architecting, deploying, and optimizing the ML & Data platform supporting the training of Machine Learning Models using NVIDIA DGX clusters and the Kubernetes platform. Your expertise in AWS services such as EKS, EC2, VPC, IAM, S3, and EFS will be crucial for ensuring the smooth operation and scalability of the ML infrastructure. You will collaborate with cross-functional teams, including data scientists, software engineers, and infrastructure specialists, to ensure the smooth operation and scalability of the ML infrastructure. Your expertise in MLOps, DevOps, and knowledge of GPU clusters will be vital in enabling efficient training and deployment of ML models. Your responsibilities will include architecting, developing, and maintaining the ML platform, designing and implementing scalable infrastructure solutions for NVIDIA clusters on premises and AWS Cloud, collaborating with data scientists and software engineers to define requirements, optimizing platform performance and scalability, monitoring system performance, implementing CI/CD pipelines, maintaining monitoring stack using Prometheus and Grafana, managing AWS services, implementing logging and monitoring solutions, staying updated with the latest advancements in MLOps, distributed computing, and GPU acceleration technologies, and proposing enhancements to the ML platform. Qualcomm is looking for candidates with a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, proven experience as an MLOps Engineer or similar role with a focus on large-scale ML and/or Data infrastructure and GPU clusters, strong expertise in configuring and optimizing NVIDIA DGX clusters, proficiency in using the Kubernetes platform and related technologies, solid programming skills in languages like Python, Go, experience with relevant ML frameworks, in-depth understanding of distributed computing and GPU acceleration techniques, familiarity with containerization technologies and orchestration tools, experience with CI/CD pipelines and automation tools for ML workflows, experience with AWS services and monitoring tools, strong problem-solving skills, excellent communication, and collaboration skills. Qualcomm is an equal opportunity employer and is committed to providing reasonable accommodations to support individuals with disabilities during the hiring process. If you are interested in this role or require more information, please contact Qualcomm Careers.,

The Senior Manager, Data Science will be responsible for building and scaling Netsmarts data science capabilities. You will lead the development and deployment of advanced analytics, AI/ML models, and predictive tools to support decision-making across product, clinical, and operational domains. This is a strategic and hands-on leadership role for someone who thrives in both managing teams and shaping technical direction. Key Responsibilities: Lead the strategy, work with various stakeholders to define the roadmap, and delivery of healthcare products Run the business based on operational metrics and status. This includes but is not limited to queue churn, trending, resource utilization, risk assessment and mitigation, project initiatives, and department-related data elements Make timely and effective decisions to ensure the team is prepared to deliver solutions on a strategic roadmap not just for the short-term Lead cross-functional change initiatives and develop strategies to support change in engineering processes and strategy Accountable for ensuring the capability and capacity of the team to advance and leverage the latest in programming languages, industry standards and software development methodologies. Become a trusted advisor for executive leaders across the company. This position may require availability outside of standard business hours as part of a rotational on-call schedule What Youll Need to Be Successful (Required Skills): At least 10+ years of professional experience in data science, machine learning, or applied analytics roles. Must have experience leading data science or machine learning teams. Experience with variable cost analysis and management for complex cloud-based solutions Experience in leading, coaching, and mentoring a team of data scientists; foster a culture of innovation and learning. Experience with full lifecycle development in product or engineering leadership using Agile methods for large, complex projects Deep understanding of statistical modelling, machine learning algorithms, and real-world data applications. Hands-on experience with data science frameworks and cloud platforms such as AWS, Azure, GCP. Education/ Certifications: Bachelor's degree in computer science, or related field. Preferred Skills: Experience designing, building and operating secure, scalable and highly available web and mobile applications, large-scale distributed systems using service-oriented architecture and message queue architecture in the cloud Understanding of cloud-based SaaS architectures – involves designing elastic solutions, distributed state, availability, scalability, etc. Experience building ML platforms or MLOps workflows. Exposure to driving adoption of AI/Automation to make the product development/QA cycle better Experience in healthcare, life sciences, or human services domains. Knowledge of healthcare regulatory and compliance including data governance, privacy, HIPAA, or FHIR standards Strong business acumen with the ability to link data insights to actionable outcomes. We work 5 days from office. Netsmart, India has setup our new Global Capability Centre(GCC) at Godrej Centre, Byatarayanapura (Hebbal area) -(https://maps.app.goo.gl/RviymAeGSvKZESSo6) .