Techstack: - Nodejs graphql api development -Reactjs - typescript - Cloud expertise - AWS - Databses - NoSQl or RDS. Mysql, MongoDb, dynamodb, postgres, SQL server, Redis (Experience in atleast one of the dbs) - Serveless - Lambda, cognito

AST Digital is looking to fill a role for an experienced professional with below requirements: Techstack: - Nodejs graphql api development -Reactjs - typescript - Cloud expertise - AWS - Databses - NoSQl or RDS. Mysql, MongoDb, dynamodb, postgres, SQL server, Redis (Experience in atleast one of the dbs) - Serveless - Lambda, cognito Skill Sets Startup Experience: Proven ability to take extreme ownership of results, with a history of leaving a lasting impact on the business. Relevant Experience: At least 3 years of experience demonstrated the ability to develop resilient, high-performance, and scalable code tailored to application usage demands. Node.js Framework Expertise: Significant experience in designing and building Node services with Expressjs, NestJS and Fastify, with proficiency in JavaScript & Typescript. REST API: Hands-on expertise in development API endpoints with RESTful approach Cloud Proficiency: Strong understanding and hands-on experience of building applications deployed on the cloud using Azure cloud or Amazon Web Services (AWS), Docker, and Kubernetes. Automation & CI/CD: Expertise in Git, PR, Jenkins, Staging, Skilled in following CI/CD pipelines and automation, with experience in CI/CD tooling and procedures, ideally using GitLab and AWS services. Database Knowledge: Strong experience working with MongoDB, PostgreSQL, MySQL, Redis, ElasticSearch, or other similar database Collaboration & Communication: A team player who thrives in a remote, collaborative environment. Responsibilities: Scalable Architecture: Lead the design and development of scalable architecture to ensure efficient performance and reliability of web and mobile applications. Informed Decisions: Make informed architectural decisions that align with both current and future business needs. Security & Privacy: Ensure security and privacy considerations are integrated into the selection of solutions and coding of back-end services and API endpoints. Code Quality & High Standards: Uphold high standards of code quality through regular reviews, maintaining best practices in programming. Backend Development: Design, develop, and deploy backend services and APIs using Node.js and AWS technologies. NoSQL Expertise: Effective schema design and data modeling for NoSQL databases, ideally MongoDB, including robust indexing strategies. Autonomy: Get things done independently without supervision and without creating future issues. Simplicity: Strive for simplicity in solutions and code. Proactive Problem Solving: Fix problems, even those outside your immediate responsibility. Solution-Oriented: Focus on providing solutions to problems, not just writing code. Job Type: Full-time Pay: ₹586,561.83 - ₹1,807,361.13 per year Schedule: Day shift Monday to Friday Work Location: In person Speak with the employer +91 9989533111

• 3+ years of experience in AI/ML engineering roles. • Strong hands-on experience with AWS SageMaker • Proficiency in Python and popular ML libraries such as TensorFlow, PyTorch, scikit-learn, Pandas, NumPy.

Job Summary: As an AI Engineer, you will be responsible for designing, building, and deploying AI/ML solutions using AWS SageMaker and other AI tools. You will work closely with cross-functional teams to analyze data, identify patterns, and propose optimized solutions in the health insurance domain. Your expertise will directly contribute to making strategic business decisions and enhancing operational efficiency. Key Responsibilities:  Develop and deploy machine learning models on AWS SageMaker for classification, prediction, and recommendation systems.  Collaborate with stakeholders to understand business needs and translate them into technical solutions.  Explore large and complex healthcare-related datasets to derive actionable insights and build intelligent systems.  Integrate models and algorithms with production systems and APIs.  Apply NLP, computer vision, or generative AI models (where applicable) to solve domain-specific challenges.  Evaluate model performance, perform error analysis, and implement improvements.  Keep abreast of the latest AI/ML trends, frameworks, and tools in the healthcare and insurance industry.  Ensure all solutions comply with relevant data privacy and security regulations (e.g., HIPAA).  Present findings and model outputs to technical and non-technical stakeholders in a clear and concise manner. Required Qualifications:  Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field.  3+ years of experience in AI/ML engineering roles.  Strong hands-on experience with AWS SageMaker (model training, deployment, endpoint management).  Proficiency in Python and popular ML libraries such as TensorFlow, PyTorch, scikit-learn, Pandas, NumPy.  Solid understanding of health insurance workflows, claims processing, or healthcare data formats (e.g., HL7, FHIR) is highly preferred.  Experience with version control, CI/CD pipelines, and model monitoring.  Familiarity with regulatory and compliance issues in healthcare AI applications. Job Type: Contractual / Temporary Contract length: 3 months Pay: ₹100,000.14 - ₹160,000.59 per month Schedule: Day shift Monday to Friday Work Location: In person