Responsibilities Implement a cloud-native analytics platform with high performance and scalability. Build an API-first infrastructure for data in and data out.Build data ingestion capabilities for the data, as well as external spend data.Leverage data classification AI algorithms to cleanse and harmonize data.Own data modelling, microservice orchestration, monitoring & alerting.Develop comprehensive expertise in the entire application suite and leverage this knowledge to design more effective applications and data frameworks.Adhere to iterative development processes to deliver concrete value each release while driving longer-term technical vision.Collaborate with cross-organizational teams, including product management, integrations, services, support, and operations, to ensure the overall success of software development, implementation, and deployment.Qualification & Experience4–8 years of experience in building and maintaining data pipelines for enterprise/SaaS applications. Strong knowledge of Python. Solid understanding of relational SQL and query optimization. Understanding designing and implementing ETL workflows and data transformation processes (PySpark, or similar libraries for ETL/data transformation). Deep knowledge of Kafka (or similar pub/sub systems) for data streaming. Strong experience with Apache Airflow, or similar tools to schedule, monitor, and manage complex data pipelines Experience with AWS cloud (data storage, compute, and managed services). Understanding how to integrate datasets into BI/reporting tools (Tableau, Power BI, or QuickSight). Experience with CI/CD tooling for data pipeline deployment. Nice to have: Familiarity with AI/ML-based data cleansing, deduplication, and entity resolution techniques. Familiarity with microservices and event-driven architecture. Knowledge of performance tuning and monitoring tools for data workflows.

Responsibilities Collaborate with cross-functional teams to design, develop, test, and deploy software solutions. Develop and implement processes and procedures to ensure the quality of software. Maintain and improve codebase integrity by actively participating in code reviews and proactively identifying refactoring opportunities in maintained applications. Develop and support scalable microservices and ETL pipeline using .NET Core, Python, and Azure Platform Services. Implement unit and integration tests.Qualification & Experience8+ years of experience developing software using C# and Python. 3+ years of experience in implementing CI/CD pipelines using YAML, Helm charts, etc. Hands-on experience with Azure platform services like AKS, Docker, APIM, Azure SQL, Cosmos DB, Storage account, Azure function, App Services, etc. Knowledge of Databricks or Snowflake (or similar platforms). Understanding of architecture diagramming tools, such as Visio or Lucidchart. Experience with developing applications following CQRS and DDD.8+ years of experience with .NET Core and Python. Experience with OOP principles and patterns, developing and delivering large-scale distributed systems. Strong understanding of grooming backlog items and ensuring that they are engineer-ready. Understanding microservices in AKS and building ETL pipelines and AI use cases in Databricks. Experience in unit and integration testing automation. Knowledge of ORMs such as Entity Framework Core and Dapper. Expertise in data modeling and SQL. Experience building data integrations and other system integrations using different technologies like Service Bus, Event Hubs, etc. Experience leveraging issue-tracking systems/wikis for documentation (Jira/Confluence). Willingness to learn designing fault-tolerant architecture on cloud deployments (load balancing, clustering, reducing/eliminating single points of failure, etc). Problem-solving skills and a proactive work style. Strong interpersonal and communication skills. Independent contributor with drive. Collaborative and teamwork-oriented. Accountable for work and take ownership of tasks. The ability to balance strategic and tactical methodologies in delivery. The ability to exhibit judgment when it comes to prioritization and overall team management.

ResponsibilitiesCommunicate directly with customers to understand problems requirements and expected outcomes Collect video data or other inputs from customers based on project needs Perform data annotation, refinement and preprocessing, Train test, validate and optimize machine learning or computer vision models Troubleshoot issues and retrain models when required Deploy ML models at customer locations (onsite deployment) Develop and maintain code for ML pipelines, tools and UI dashboards Collaborate with internal teams to ensure smooth project delivery Maintain documentation and provide customer updates throughout the project lifecycleQualification & ExperienceTechnical Skills: Strong programming experience in Python Knowledge of ML model training, evaluation and tuning Experience with front-end or UI development using React.js or Angular Backend development knowledge is a plus Database experience with MySQL and MongoDB Understanding of video data processing and annotation tools Soft Skills: Excellent communication and customer handling Ability to understand client needs and convert them into technical tasks Problem-solving mindset and ability to work independently Willingness to travel for onsite deployment (if needed) Qualifications: Bachelor’s degree in Computer Science, IT, Electronics, or related fields Experience in AI/ML projects, video analytics, or customer-facing technical roles Expereience: 1–2 years of experience in relevant AI/ML roles

ResponsibilitiesAssist senior engineers in robot installation and commissioning at customer sitesassist in HMI screen developmentsupport electrical panel wiring checks and verification help in mechanical mounting cable routing end-effector setup sensor integration perform trial runs and test sequences validate robot cycle time and accuracy assist in FAT and SAT activities support troubleshooting of PLC logic sensors drives and field wiring perform preventive and corrective maintenance tasks ensure safety checks and compliance during all site activities Qualification & ExperienceIndustrial robot programming basics teach pendant operation FANUC Mitsubishi Yaskawa ABB robots PLC programming fundamentals Siemens TIA Portal Allen-Bradley Mitsubishi GX Works HMI basics WinCC FactoryTalk View GT Designer robot coordinate systems tool and workpiece calibration I/O mapping safety interlocks VFDs servo drives contactors relays timers analog and digital I/O modules industrial communication protocols Modbus RTU/TCP Profinet Profibus Ethernet/IP RS-232/485 PLC and robot integration electrical wiring identification control panels sensors pneumatic actuators safety systems Qualifications: BCA, MCA, B-Tech, BE (EC, CS, EE, or related disciplines)

ResponsibilitiesProductivity AI Team (Enablement / LEAN Phase) Focused on empowering 10,000+ Fortive employees by embedding cutting-edge AI into FBS tools and workflows. You will work with: GenAI capabilities Agentic systems LLM-based productivity enhancements MCP-driven automations Growth & Innovation Team (DREAM Phase) Works on zero-to-one innovations, experimentation, and shaping future AI products. You will explore: New AI prototypes Research-style experimentation Early-stage product concepts POCs leveraging LLMs, Vision Models, RAG, Agents Commercialization Team (Develop / Deliver Phases) Focuses on productionizing AI solutions, MLOps, scalability, and customer-facing delivery. You will get exposure to: Model deployment (cloud platforms) ML pipelines Monitoring, evaluation, and improvements Taking AI solutions to enterprise customers Across all three teams, you will be mentored by experienced Data Scientists, ML Engineers, MLOps Engineers, and leaders working at the forefront of AI innovation at Fortive. During your internship, you may contribute to:Building and evaluating GenAI and Agentic AI prototypes Developing Python-based ML/AI pipelines Working on RAG systems, document intelligence, and Cognitive Search Automating workflows using AI + RPA concepts Experimenting with leading LLMs, Vision models, and multimodal models Supporting MLOps initiatives such as CI/CD for ML models Collaborating with cross-functional teams to design meaningful AI capabilities Participating in brainstorming, design sprints, and LEAN/DREAM activities under FBS Preparing and presenting results to senior leadership Qualification & Experience Strong programming experience in Python Understanding of Machine Learning fundamentals Curiosity and willingness to learn GenAI, LLMs, AI Agents, MCP, Vector Databases Ability to work independently and in teams Good communication and problem-solving abilities

ResponsibilitiesEdit short-form videos for Instagram reels, YouTube shorts, and other social platforms Execute edits based on content briefs, brand guidelines, and creative direction Add motion graphics, transitions, captions, and visual enhancements where required Understand and optimise content for platform-specific formats and aspect ratios Support shoots when required (basic understanding of lights, camera, and setup)Qualification & ExperienceProficiency in Adobe Premiere Pro, After Effects, Photoshop, Illustrator & Figma, Canva (or similar tools) Strong motion graphics fundamentals Familiarity with AI tools like Gemini Flow, HeyGen, ElevenLabs, NanoBanana, etc. is a big plus Good understanding of social media content trends and formats Strong attention to detail and visual consistency Clear communication skills and ability to take feedback positively

ResponsibilitiesAutomation Framework Development: Design, develop, and maintain robust automation frameworks for web, mobile, and APIs, ensuring scalability and reusability. Test Planning & Execution: Define and implement test strategies, create detailed test plans, and perform functional, regression, and integration testing. CI/CD Pipeline Integration: Integrate automated tests into CI/CD pipelines, monitor builds, and troubleshoot test failures to ensure smooth deployments. Defect Identification & Root Cause Analysis: Identify, document, and analyze defects with detailed root cause analysis to facilitate quick resolution. Collaboration with Cross-Functional Teams: Work closely with developers, product managers, and DevOps teams to align quality processes with business goals. Performance & Security Testing: Conduct performance, load, and security testing to identify bottlenecks and vulnerabilities, ensuring system stability. Process Improvement & Mentorship: Continuously enhance testing processes, tools, and methodologies while mentoring junior team members to build a strong quality culture.Qualification & Experience3-6 years of experience as an SDET with a strong focus on backend testing and automation. Mobile app testing exposure is an added advantage. Proficiency in Python is highly preferred, though extensive backend automation experience with any language is acceptable. Hands-on experience in microservices environments with knowledge of cloud platforms like AWS, GCP, or Azure, along with Kubernetes expertise. Strong debugging skills across large tech stacks, with the ability to perform root cause analysis (RCA) effectively. Familiarity with Linux OS and the ability to work efficiently in a Linux-based environment. Mentoring experience and guiding junior engineers is a desirable plus.

Responsibilities· Design, build, and maintain highly scalable and secure AWS infrastructure. · Automate infrastructure provisioning, deployment, and monitoring using Infrastructure as Code (IaC) tools like Terraform or CloudFormation. · Optimize CI/CD pipelines for efficient and reliable deployments. · Implement robust monitoring, logging, and alerting solutions using tools like Prometheus, Grafana, ELK Stack, etc. · Ensure security best practices are followed for cloud environments, including IAM, VPC configurations, and network security. · Troubleshoot production issues and implement solutions to improve system reliability and performance. · Collaborate with engineering teams to improve DevOps culture and drive operational excellence. Qualification & Experience· 5-10 years of experience in DevOps, SRE, or Cloud Engineering. · Strong expertise in AWS services such as EC2, S3, RDS, Lambda, ECS/EKS, VPC, IAM, Route 53, CloudFront, and more. · Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Pulumi. · Hands-on experience with CI/CD pipelines using GitHub Actions, Jenkins, or similar tools. · Strong knowledge of Kubernetes and container orchestration. · Experience with monitoring and logging tools (Prometheus, Grafana, ELK, CloudWatch, etc.). · Scripting and automation experience with Python, Bash, or Go. · Knowledge of security best practices for cloud environments. · Strong problem-solving skills and a passion for automation and scalability. · Experience in a fintech/startup environment.· Knowledge of database management and caching solutions. · Exposure to multi-cloud environments (GCP, Azure). 

ResponsibilitiesAssist in keyword research and SEO analysis Support on-page and off-page SEO activities Work on website optimization and content updates Monitor website performance and SEO reports Stay updated with latest SEO trends and techniques Qualification & ExperienceBasic knowledge of SEO and digital marketing Good communication and analytical skills Quick learner and team player Freshers can apply

ResponsibilitiesDevelop and implement effective SEO strategies Conduct keyword research and competitor analysis Optimize website content, landing pages, and blogs for search engines Monitor website performance using SEO tools (Google Analytics, Search Console, etc.) Manage on-page and off-page SEO activities Track, analyze, and report SEO performance and improvementsQualification & ExperienceProven experience in SEO and digital marketing Strong knowledge of on-page and off-page SEO techniques Familiarity with SEO tools like Google Analytics, Search Console, SEMrush, or Ahrefs Understanding of website analytics and ranking factors Excellent analytical and problem-solving skills