4 Sage Maker Jobs

Role - Cloud Architect Analytics & Data Products Were looking for a Cloud Architect / Lead to design, build, and manage scalable AWS infrastructure that powers our analytics and data product initiatives. This role focuses on automating infrastructure provisioning , application/API hosting , and enabling data and GenAI workloads through a modern, secure cloud environment. Key Responsibilities Design and provision AWS infrastructure using Terraform or AWS CloudFormation to support evolving data product needs. Develop and manage CI/CD pipelines using Jenkins , AWS Code Pipeline , Code Build , or GitHub Actions . Deploy and host internal tools, APIs, and applications using ECS , EKS , Lambda , API Gateway , and ELB . Provision and support analytics and data platforms using S3 , Glue , Redshift , Athena , Lake Formation , and orchestration tools like Step Functions or Apache Airflow (MWAA) . Implement cloud security, networking, and compliance using IAM , VPC , KMS , CloudWatch , CloudTrail , and AWS Config . Collaborate with data engineers, ML engineers, and analytics teams to align infrastructure with application and data product requirements. Support GenAI infrastructure, including Amazon Bedrock , Sage Maker , or integrations with APIs like Open AI . Requirements 10-14 years of experience in cloud engineering, DevOps, or cloud architecture roles. Strong hands-on expertise with the AWS ecosystem and tools listed above. Proficiency in scripting (e.g., Python , Bash ) and infrastructure automation. Experience deploying containerized workloads using Docker , ECS , EKS , or Fargate . Familiarity with data engineering and GenAI workflows is a plus. AWS certifications (e.g., Solutions Architect , DevOps Engineer ) are preferred. Show more Show less

ZS s Beyond Healthcare Analytics (BHCA) Team is shaping one of the key growth vector area for ZS, Beyond Healthcare engagement, comprising of clients from industries like Quick service restaurants, Technology, Food & Beverage, Hospitality, Travel, Insurance, Consumer Products Goods & other such industries across North America, Europe & South East Asia region. BHCA India team currently has presence across New Delhi, Pune and Bengaluru offices and is continuously expanding further at a great pace. BHCA India team works with colleagues across clients and geographies to create and deliver real world pragmatic solutions leveraging AI SaaS products & platforms, Generative AI applications, and other Advanced analytics solutions at scale. What You ll Do: Build, Refine and Use ML Engineering platforms and components. Scaling machine learning algorithms to work on massive data sets and strict SLAs. Build and orchestrate model pipelines including feature engineering, inferencing and continuous model training. Implement ML Ops including model KPI measurements, tracking, model drift & model feedback loop. Collaborate with client facing teams to understand business context at a high level and contribute in technical requirement gathering. Implement basic features aligning with technical requirements. Write production-ready code that is easily testable, understood by other developers and accounts for edge cases and errors. Ensure highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews. Write unit tests as well as higher level tests to handle expected edge cases and errors gracefully, as well as happy paths. Uses bug tracking, code review, version control and other tools to organize and deliver work. Participate in scrum calls and agile ceremonies, and effectively communicate work progress, issues and dependencies. Consistently contribute in researching & evaluating latest architecture patterns/technologies through rapid learning, conducting proof-of-concepts and creating prototype solutions. What You ll Bring A master's or bachelor s degree in Computer Science or related field from a top university. 4+ years hands-on experience in ML development. Good understanding of the fundamentals of machine learning Strong programming expertise in Python, PySpark/Scala. Expertise in crafting ML Models for high performance and scalability. Experience in implementing feature engineering, inferencing pipelines, and real time model predictions. Experience in ML Ops to measure and track model performance, experience working with MLFlow Experience with Spark or other distributed computing frameworks. Experience in ML platforms like Sage maker, Kubeflow. Experience with pipeline orchestration tools such Airflow. Experience in deploying models to cloud services like AWS, Azure, GCP, Azure ML. Expertise in SQL, SQL DB's. Knowledgeable of core CS concepts such as common data structures and algorithms. Collaborate well with teams with different backgrounds / expertise / functions

Sr. Software Engineer with advanced Python for product development and of ML & Generative AI. Hands on with FastAPI server in production environment. AI Engineers to design and develop high-quality Generative AI platform on AWS.

About Company: Avisoft (https://avisoft.io/) is a Technology and IT services company based in Mohali and Jammu serving clients globally. We offer Product Engineering, IT Consultancy, Project Outsourcing and Staff Augmentation services. We partner with businesses to design and build Tech platforms from scratch, or to re-engineer and modernize their legacy systems. Our teams have expertise in Full Stack Technologies, REST API Servers, Blockchain, DevOps, Cloud Technologies, Data Engineering, and Test Automation. We are building next gen SaaS platforms for e-commerce and health-tech domains. About the Role: We are seeking a highly skilled Python Developer with a minimum of 4+ years of experience to join our team. In this role, you will play a key part in designing and implementing functional requirements, building efficient back-end features, managing testing and bug fixes, and providing mentorship to junior team members. Your expertise in Python development, knowledge of design patterns, and experience with testing frameworks such as pytest or unit test will be crucial in contributing to the success of our projects. In addition, you will leverage AI/ML technologies to enhance our data processing and application solutions. Responsibilities: Design and implement functional requirements for software applications. Develop robust and efficient back-end features using Python. Integrate AI/ML models and algorithms to solve complex business problems and enhance product functionality. Oversee testing processes, addressing and resolving bugs using frameworks like pytest or unittest. Prepare comprehensive technical documentation for reference. Mentor and coach junior team members, sharing your knowledge and experience. Actively participate in code reviews and discussions to ensure code quality. Implement software enhancements and suggest improvements for ongoing projects. Collaborate with cross-functional teams to integrate AI/ML models into existing applications. Skills: Proven experience as a Python Developer with a minimum of 4 years in a similar role. Excellent understanding and application of design patterns in software development. Strong experience with testing frameworks, preferably pytest or unittest. Familiarity with data processing frameworks such as pandas, pyspark, or similar. AI/ML experience, with expertise in integrating machine learning models into applications. Experience with cloud platforms, particularly Amazon Web Services (AWS), including AWS Glue and AWS Sagemaker for deploying models. Solid understanding of databases and SQL. Familiarity with building back-end solutions and APIs for machine learning models. Experience with AI/ML libraries such as TensorFlow, PyTorch, and Scikit-learn. Exceptional attention to detail in coding and problem-solving. Demonstrated leadership skills and ability to guide and motivate a team. Familiarity with React for front-end integration with AI/ML-driven back-end services. Bachelor's degree in Computer Science, Information Technology, or a related field. Skills : - Python Developer ,AI ,Machine Learning ,Backend Development ,AWS ,Sage maker ,AWS Glue ,Data Processing ,Pandas ,PySpark ,Design Patterns ,Unit Testing ,pytest ,unit test ,Cloud Platforms ,SQL ,NoSQL ,Model Deployment ,Scalable Applications ,Software Development, Python, AI/ML Integration, TensorFlow/PyTorch/Scikit-learn, Backend Development, AWS (Sagemaker, Glue), Pandas/PySpark, Design Patterns, Unit Testing (pytest, unittest), SQL, Model Deployment, Cloud Platforms (AWS, Google Cloud, Azure). Location : - Remote, Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune