Software Engineer Machine Learning Salary India in Bengaluru

Senior Machine Learning Engineer Description - We are looking for a Senior MLOps Engineer to design, build, and operate the infrastructure that enables machine learning models and large language models to be deployed safely, reliably, and at scale. In this role, you will create the end-to-end capabilities required to move models from experimentation into production, expose them through secure and highly available endpoints, and enable users and applications to interact with AI-powered services. You will work across AWS and Databricks to establish robust CI/CD pipelines, model-serving infrastructure, observability, governance, rollback mechanisms, and operational standards. You will partner closely with data scientists, machine learning engineers, software engineers, security teams, and platform engineers. The ideal candidate combines strong cloud and DevOps engineering skills with a practical understanding of machine learning systems, LLM deployment patterns, and production reliability. Key Responsibilities MLOps Platform and Architecture Design and implement a scalable MLOps platform using AWS and Databricks. Define reference architectures and reusable deployment patterns for traditional machine learning models, deep learning models, and large language models. Build standardized workflows that move models from development and validation into staging and production. Develop self-service capabilities that allow data scientists and ML engineers to deploy models without manually managing infrastructure. Establish clear separation between development, testing, staging, and production environments. Design multi-region or multi-availability-zone architectures where required by business continuity and availability objectives. CI/CD and

A Career with Point72's Technology Team As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. What you'll do Lead the design, development, and operation of scalable, enterprise-grade AI/ML architectures and systems with a strong emphasis on reliability, availability, and performance. Lead and mentor a team of engineers, driving technical direction, code quality, and iterative delivery of large-scale solutions. Partner closely with data scientists, engineers, product teams, and compliance to integrate AI/ML solutions into existing and new products. Own the end-to-end lifecycle of GenAI services, including LLM inference, model serving, and proxy/gateway layers that support multiple downstream applications. Define and uphold engineering best practices around observability, scalability, security, and cost efficiency for AI/ML platforms. Evaluate tools, technologies, and processes to ensure the highest quality and performance of AI/ML systems. Stay abreast of the latest advancements in AI/ML technologies and methodologies, and translate them into pragmatic solutions for the business. Ensure compliance with industry standards and best practices in AI/ML. What's required Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 10+ years of experience in software/AI/ML engineering, with a proven track record of successful delivery of complex, production-grade systems. Demonstrated experience building large-scale enterprise-grade services with high reliability, availability, and observability (SLO/SLA-driven en

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The BizTech team at Airbnb is crucial to the company's operations, handling critical data related to compliance with Tax, Payments, and Legal regulations. We also manage application data for tools such as CRM, Jira, and Workday, which are essential for Airbnb’s business. Joining this team means working with cross-functional stakeholders, designing scalable solutions, and contributing to a world-class data engineering environment with an emphasis on quality, scalability, and robust engineering practices. The Difference You Will Make: We are looking for a hands-on expert to provide technical leadership in addressing BizTech’s diverse data engineering needs and driving long-term strategies and best practices. This key leadership role requires strong collaboration and influence across teams. You'll play a crucial role in understanding business needs, identifying the right data sources, designing efficient data models, and building reliable, scalable data pipelines. As technology continues to evolve, you'll help shape and maintain significant parts of BizTech’s critical data ecosystem. Your contributions will not only address complex business challenges but also help refine and advance Airbnb’s Data Engineering Paved Path, benefiting the entire data community at Airbnb. We believe in solving problems and contributing back to our data community to continuously improve. A Typical Day /Responsibilities: Lead the design, implementation, and testing of data systems, from architecture to production. Build batch and real-time data systems that support business needs and critical products. Ensur

Data Engineer Description - Key Roles Designs and establishes secure and performant data architectures, enhancements, updates, and programming changes for portions and subsystems of data pipelines, repositories or models for structured/unstructured data. Analyzes design and determines coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution. Writes and executes complete testing plans, protocols, and documentation for assigned portion of data system or component; identifies and debugs, and creates solutions for issues with code and integration into data system architecture. Collaborates within a project team of other data engineers to develop reliable, cost effective and high-quality solutions for assigned data system, model, or component. Analyzes data inaccuracies, identifies opportunities and supports the development of automated solutions to enhance overall quality of the enterprise data. Identifies problematic areas and conducts research to determine the best course of action to correct the data; identifies, analyzes and interprets trends and patterns in complex datasets. Works cross-functionally with different departments to assess, define, and develop report deliverables. Represents the software data engineering team for all phases of larger and more-complex development projects. Provides guidance and mentoring to less experienced staff members. Education & Experience Recommended Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/ Mathematics, or any other related di

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. As a Staff DevSecOps Engineer in the ET team, you will be the technical authority and architectural owner responsible for embedding security, compliance, and automated release practices across our enterprise applications ecosystem—including Salesforce, NetSuite, Workday, Adobe Experience Manager (AEM), and modern web stacks (Vercel/Next.js) . In this role, you will bridge development, security, and enterprise ops. You will design, scale, and maintain automated security pipelines, unified observability, edge defense, and identity management across critical business systems. You will serve as a technical leader—driving secure-by-design architectures, threat modeling, and automated governance across complex enterprise platforms. Key Responsibilities: Enterprise DevSecOps Architecture & CI/CD Security Multi-Platform CI/CD Governance: Architect and scale enterprise-grade CI/CD and deployment frameworks across diverse systems (Salesforce via Gearset/Copado , AEM/Web via CircleCI/GitHub Actions , NetSuite, and Workday). Shift-Left Security Pipeline: Integrate automated SAST, DAST, Software Composition Analysis (SCA), and secrets detection into workflows using tools like SonarQube, Snyk, PMD, GitGuardian, and OWASP ZAP . Secrets & Supply Chain Management: Standardize secrets management (e.g., HashiCorp Vault ) and safeguard third-party dependencies, API integrations, and package deployments across all enterprise platforms. Edge, WAF & Network Security G

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Engineering Opportunity We are looking for an experienced Senior Site Reliability Engineer to join Okta's Emerging Products Group (EPG). Our mission is to build highly reliable, scalable, and secure cloud services that our customers can trust. We embrace an automation-first mindset and continuously invest in platform engineering, observability, and operational excellence to enable our engineering teams to move quickly and safely. This role is ideal for an experienced Site Reliability Engineer who enjoys solving complex technical challenges at scale, building automation, and improving the reliability of production systems. You will serve as a key contributor within the EPG SRE organization, partnering closely with software engineers, architects, and product teams to design, build, and operate world-class cloud services. What You'll Be Doing Reliability & Operations Design, build, and operate large-scale cloud infrastructure and production services. Participate in an on-call rotation supporting highly available customer-facing systems. Lead incident response efforts and drive post-incident reviews focused on systemic improvements. Define, measure, and improve Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets. Partner with engineering teams to improve service availability, scalability, performance, and resilience. Continuously improve observability through metrics, logging, tracing, dashboards, and alerting. Eng

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Get to know Okta Okta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We’re building a world where Identity belongs to you. About the role This key role involves building and leading a team of talented, passionate backend Java software engineers responsible for developing mission-critical and innovative identity and security products, specifically focusing on platform features for authentication and authorisation. This is an exciting opportunity to grow a team and deliver essential identity and security capabilities on Okta Secure Identity Platform. What you’ll be doing At a high level, you’ll be managing your team’s goals, contributing to product strategy and helping to develop your employees. More specifically, you will - Collaborate cross-functionally and across teams, with responsibility for the product, team health, and customer satisfaction. Contribute to defining the strategic direction (product & technical) and roadmap for the team. Ensure technical leadership is

AI/ML – Investment Services A Career with Point72's AI/ML – Investment Services Team The AI/ML – Investment Services team at Point72 spearheads the development of cutting-edge AI solutions that seek to transform our business processes and enhance enterprise intelligence. The team aims to bridge the gap between business challenges and technological innovation, collaborating with stakeholders across the firm and leveraging expertise in generative AI, data engineering, and machine learning. WHAT YOU'LL DO Build and scale core backend services and platforms that power generative AI applications and data infrastructure used across the firm’s investment workflows Design and implement high-throughput, low-latency data pipelines to ingest, normalize, and serve both structured and unstructured data Develop robust APIs and microservices to support model inference, feature serving, and downstream applications Integrate generative AI tools and model-serving workflows into production, including embedding stores, retrieval components, and fine-tuning pipelines Optimize system performance, cost, and reliability through profiling, capacity planning, and architectural improvements Implement automated testing, continuous delivery pipelines, monitoring, and incident response practices to maintain production health Partner with data scientists, AI engineers, product owners, and operations to translate models and prototypes into scalable, production-grade solutions Mentor engineers, lead code reviews, and establish engineering best practices for maintainability, security, and observability Own end-to-end delivery, operational runbooks, and metrics-driven measurement of feature impact and system reliability WHAT'S REQUIRED Bachelor’s degree in computer science, software engineering, or a related technical field Minimum 5+ years of professional experience building backend systems and production services Demonstrated experience designing and operating large-scale data engineering pipelines

Want to be a bswifter? At bswift we’ve been transforming benefits administration since 1996, making it simpler, smarter, and more human. Our state-of-the-art, cloud-based technology and services empower employees to understand, manage, and love their benefits. From downtown Chicago, and remotely across the country, we serve thousands of companies and millions of people nationwide, reducing administrative burdens and freeing HR teams to focus on creating thriving, people-first workplaces. We’re looking for motivated and goal-driven individuals who share our passion for delivering excellence and creating solutions that make a difference. The reward is a fun, flexible and creative environment with ample opportunity for professional and personal growth. If you love the bswift values of pursue excellence, embrace accountability, deliver superior service, and be a great place to work, we want to hear from you! You will join the team as a Software Developer , responsible for designing, building, and maintaining scalable backend systems and APIs that power web and mobile applications. The role requires proficiency in backend engineering, cloud services (preferably AWS), databases , and developing secure, high-performance systems . You’ll work closely with software developers, product managers, and cross-functional teams to deliver reliable, secure, and performant services that enable seamless user experiences 1. Solution Design & Development Design, develop, and maintain innovative, customer-centric, high-performance, secure, and robust applications. Build and integrate scalable backend services with responsive frontend interfaces. Work with architects and other software engineers to develop scalable solutions 2. System Decomposition & Iterative Delivery Break down large, complex systems into smaller, manageable implementation slices. Use prototypes and iterative delivery to de-risk unknowns and validate assumptions. 3.

Position Overview We are looking for a Software Engineer II to build and deliver scalable software solutions across our products. You will work on modern web applications and cloud-based services using Node.js, React, TypeScript, AWS, PostgreSQL, MSSQL, and Docker, while contributing to AI-enabled features and integrations. You will collaborate closely with other engineers, product managers, and cross-functional teams to develop reliable, maintainable, and production-ready solutions. This role provides an opportunity to work with modern AI technologies including Python, AWS Bedrock, MCP, RAG, and agentic AI workflows while developing strong expertise in cloud-native software engineering. What You'll Do Develop and maintain scalable backend services and APIs using Node.js, TypeScript, and JavaScript. Build responsive and maintainable frontend applications using React. Design and implement integrations with AWS services and contribute to cloud-native application development. Develop and maintain applications using PostgreSQL and MSSQL, including writing efficient queries and working with database schemas. Build, test, and deploy applications using Docker and modern CI/CD practices. Contribute to AI-enabled product features using Python, AWS Bedrock, RAG, MCP, and AI integration patterns. Work with the team to integrate LLM capabilities, APIs, tools, and data sources into production applications. Write clean, maintainable, and well-tested code following established engineering practices. Participate in code reviews, technical discussions, debugging, and production issue resolution. Develop unit and integration tests and contribute to improving application quality and reliability. Monitor application performance and troubleshoot issues across development and production environments. Collaborate with senior engineers and architects to implement technical solutions aligned with product and engineering requirements. Stay current with emerging technologies, particularly in

Required Skills: Core Java: Strong understanding of Java SE, including OOP concepts, data structures, and algorithms. Frameworks: Experience with popular Java frameworks such as Spring and Hibernate. Web Technologies: Knowledge of web technologies including JSP, Servlets, HTML, CSS, and JavaScript. Database Management: Proficiency in working with relational databases like MySQL, PostgreSQL, or Oracle, including SQL queries and optimization. Version Control: Experience with version control systems like Git, including branching, merging, and pull requests. Build Tools: Familiarity with build tools like Maven or Gradle. RESTful Services: Ability to design and consume RESTful web services and APIs. Testing: Experience with unit testing frameworks like JUnit or TestNG. Problem-Solving: Strong analytical and problem-solving skills with the ability to troubleshoot and resolve complex issues. Preferred Skills: Spring Boot: Experience with Spring Boot for creating microservices. ORM: Proficiency with Object-Relational Mapping (ORM) tools like Hibernate or JPA. Frontend Technologies: Basic knowledge of frontend frameworks like Angular, React, or Vue.js. Cloud Platforms: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Continuous Integration/Deployment (CI/CD): Familiarity with CI/CD tools such as Jenkins or GitLab CI. Microservices Architecture: Understanding of microservices architecture and containerization with Docker. Qualifications: Education: Bachelor’s degree in Computer Science, Information Technology, or a related field. Experience: 2-4 years of professional experience in Java development. Personal Attributes: Team Player: Ability to work collaboratively in a team environment. Communication: Strong verbal and written communication skills. Attention to Detail: High attention to detail and a commitment to delivering high-quality software. Adaptability: Ability to adapt to new technologies and changing requirements.

Technical Skills: Java Programming: Solid understanding of core Java concepts such as OOP (Object-Oriented Programming), data structures, exception handling, multithreading, and collections. Java Frameworks: Basic experience with popular Java frameworks like Spring and Hibernate. Familiarity with Spring Boot for developing microservices is a plus. Web Technologies: Basic knowledge of web development technologies including HTML, CSS, and JavaScript. Exposure to frontend frameworks like Angular or React is advantageous. Databases: Understanding of relational database concepts and basic SQL. Experience with databases such as MySQL or PostgreSQL. Version Control: Familiarity with Git and basic version control concepts, such as branching and merging. Build Tools: Experience with build tools like Maven or Gradle for project management and dependencies. Integrated Development Environment (IDE): Proficiency in using IDEs like IntelliJ IDEA, Eclipse, or NetBeans for Java development. RESTful Web Services: Basic understanding of RESTful services and APIs. Experience in creating simple RESTful APIs is beneficial. Testing: Exposure to unit testing frameworks like JUnit or TestNG. Understanding of basic test-driven development (TDD) practices. Agile Methodology: Basic understanding of Agile software development practices, including working within a team using Scrum or Kanban. Soft Skills: Problem-Solving: Ability to analyze problems and develop logical solutions, with a willingness to learn and adapt to new challenges. Communication: Good verbal and written communication skills, with the ability to articulate technical concepts to both technical and non-technical audiences. Team Collaboration: Experience working in a team environment, contributing to collaborative projects, and participating in code reviews. Time Management: Ability to manage time effectively, prioritize tasks, and meet deadlines. Attention to Detail: Strong attention to detail, ensuring code quality and

Technical Skills: Java Programming: Solid understanding of core Java concepts such as OOP (Object-Oriented Programming), data structures, exception handling, multithreading, and collections. Java Frameworks: Basic experience with popular Java frameworks like Spring and Hibernate. Familiarity with Spring Boot for developing microservices is a plus. Web Technologies: Basic knowledge of web development technologies including HTML, CSS, and JavaScript. Exposure to frontend frameworks like Angular or React is advantageous. Databases: Understanding of relational database concepts and basic SQL. Experience with databases such as MySQL or PostgreSQL. Version Control: Familiarity with Git and basic version control concepts, such as branching and merging. Build Tools: Experience with build tools like Maven or Gradle for project management and dependencies. Integrated Development Environment (IDE): Proficiency in using IDEs like IntelliJ IDEA, Eclipse, or NetBeans for Java development. RESTful Web Services: Basic understanding of RESTful services and APIs. Experience in creating simple RESTful APIs is beneficial. Testing: Exposure to unit testing frameworks like JUnit or TestNG. Understanding of basic test-driven development (TDD) practices. Agile Methodology: Basic understanding of Agile software development practices, including working within a team using Scrum or Kanban. Soft Skills: Problem-Solving: Ability to analyze problems and develop logical solutions, with a willingness to learn and adapt to new challenges. Communication: Good verbal and written communication skills, with the ability to articulate technical concepts to both technical and non-technical audiences. Team Collaboration: Experience working in a team environment, contributing to collaborative projects, and participating in code reviews. Time Management: Ability to manage time effectively, prioritize tasks, and meet deadlines. Attention to Detail: Strong attention to detail, ensuring code quality and

Roles and Responsibilities Develop and maintain web applications using ReactJS Write well-designed, efficient code Translate product requirements & user stories Work closely with UI/UX team to translate the design into actual implementation Participate in discussion, planning, and brainstorming with teammates and stakeholders to achieve project goals Maintain code and write unit tests to ensure the product is of the highest quality Qualifications & Experience Bachelor’s in computer science or relevant fields 1+ years of relevant experience in developing front-end for web based products. Experience in Javascript (ReactJS / Redux), HTML, CSS, SCSS, Webpack, TypeScript Building advanced responsive layouts. Strong sense of ownership Attitude for getting things done Experience using RESTful APIs Proficient with version control systems, especially GIT, a plus Will be involved in developing any enterprise systems like eCommerce, manufacturing, supply chain, etc.,

Software Engineer Job Description About the Role: We are seeking a talented and motivated Software Engineer to join our dynamic team. As a Software Engineer, you will play a crucial role in designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to deliver innovative products that meet the needs of our users. Responsibilities: Design, develop, and implement software solutions using various programming languages and technologies. Write clean, efficient, and well-documented code. Conduct thorough testing and debugging to ensure software quality. Collaborate with other team members to brainstorm ideas and solve problems. Stay up-to-date with the latest technologies and industry trends. Participate in code reviews and provide constructive feedback. Troubleshoot and resolve technical issues. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. Strong programming skills in at least one of the following languages: Java, Python, C++, or JavaScript. Experience with software development methodologies (Agile, Scrum, etc.). Knowledge of database systems (SQL, NoSQL). Excellent problem-solving and analytical skills. Strong communication and teamwork abilities. Experience with cloud platforms (AWS, Azure, GCP) is a plus. What We Offer: Competitive salary and benefits package. Opportunities for professional growth and development. A collaborative and supportive work environment. The chance to work on cutting-edge projects. If you are passionate about technology and want to contribute to innovative projects, we encourage you to apply. To Apply: Please submit your resume and cover letter to [email protected] Please note that this is a general job description and may vary based on the specific requirements of the company and role.