Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: MAM, App integration Crop.Photo is Looking for: Technical Lead for Evolphin AI-Driven MAM At Evolphin, we build powerful media asset management solutions used by some of the world’s largest broadcasters, creative agencies, and global brands. Our flagship platform, Zoom, helps teams manage high-volume media workflows—from ingest to archive—with precision, performance, and AI-powered search. We’re now entering a major modernization phase, and we’re looking for an exceptional Technical Lead to own and drive the next-generation database layer powering Evolphin Zoom. This is a rare opportunity to take a critical backend system that serves high-throughput media operations and evolve it to meet the scale, speed, and intelligence today’s content teams demand. What you’ll own Leading the re-architecture of Zoom’s database foundation with a focus on scalability, query performance, and vector-based search support Replacing or refactoring our current in-house object store and metadata database to a modern, high-performance elastic solution Collaborating closely with our core platform engineers and AI/search teams to ensure seamless integration and zero disruption to existing media workflows Designing an extensible system that supports object-style relationships across millions of assets, including LLM-generated digital asset summaries, time-coded video metadata, AI generated tags, and semantic vectors Driving end-to-end implementation: schema design, migration tooling, performance benchmarking, and production rollout—all with aggressive timelines Skills & Experience We Expect We’re looking for candidates with 7–10 years of hands-on engineering experience, including 3+ years in a technical leadership role. Your experience should span the following core areas: System Design & Architecture (3–4 yrs) Strong hands-on experience with the Java/JVM stack (GC tuning), Python in production environments Led system-level design for scalable, modular AWS microservices architectures Designed high-throughput, low-latency media pipelines capable of scaling to billions of media records Familiar with multitenant SaaS patterns, service decomposition, and elastic scale-out/in models Deep understanding of infrastructure observability, failure handling, and graceful degradation Database & Metadata Layer Design (3–5 yrs) Experience redesigning or implementing object-style metadata stores used in MAM/DAM systems Strong grasp of schema-less models for asset relationships, time-coded metadata, and versioned updates Practical experience with DynamoDB, Aurora, PostgreSQL, or similar high-scale databases Comfortable evaluating trade-offs between memory, query latency, and write throughput Semantic Search & Vectors (1–3 yrs) Implemented vector search using systems like Weaviate, Pinecone, Qdrant, or Faiss Able to design hybrid (structured + semantic) search pipelines for similarity and natural language use cases Experience tuning vector indexers for performance, memory footprint, and recall Familiar with the basics of embedding generation pipelines and how they are used for semantic search and similarity-based retrieval Worked with MLOps teams to deploy ML inference services (e.g., FastAPI/Docker + GPU-based EC2 or SageMaker endpoints) Understands the limitations of recognition models (e.g., OCR, face/object detection, logo recognition), even if not directly building them Media Asset Workflow (2–4 yrs) Deep familiarity with broadcast and OTT formats: MXF, IMF, DNxHD, ProRes, H.264, HEVC Understanding of proxy workflows in video post-production Experience with digital asset lifecycle: ingest, AI metadata enrichment, media transformation, S3 cloud archiving Hands-on experience working with time-coded metadata (e.g., subtitles, AI tags, shot changes) management in media archives Cloud-Native Architecture (AWS) (3–5 yrs) Strong hands-on experience with ECS, Fargate, Lambda, S3, DynamoDB, Aurora, SQS, EventBridge Experience building serverless or service-based compute models for elastic scaling Familiarity with managing multi-region deployments, failover, and IAM configuration Built cloud-native CI/CD deployment pipelines with event-driven microservices and queue-based workflows Frontend Collaboration & React App Integration (2–3 yrs) Worked closely with React-based frontend teams, especially on desktop-style web applications Familiar with component-based design systems, REST/GraphQL API integration, and optimizing media-heavy UI workflows Able to guide frontend teams on data modeling, caching, and efficient rendering of large asset libraries Experience with Electron for desktop apps How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

About The Opportunity Operating at the cutting edge of Aerospace & Unmanned Aerial Systems (UAS) , our Mobility Solutions division engineers next-generation ground-control hardware and software that connect autonomous aircraft to operators across complex environments. From mission-planning GUIs to secure telemetry links, we tackle real-time challenges where reliability, safety, and intuitive UX converge. Role & Responsibilities Co-develop ground-control software and workstation hardware for mission planning, telemetry monitoring, and command-and-control of multi-rotor and fixed-wing UAV fleets. Integrate GCS with avionics, nav-systems, and SATCOM/RF links, collaborating closely with flight-control, payload, and networking teams to ensure seamless data flow. Write, debug, and unit-test code in C/C++, Python, or Java; contribute to modular architectures that scale from desktop to ruggedized field stations. Configure, calibrate, and troubleshoot ground stations for lab, field-test, and customer demos, documenting best-practice deployment playbooks. Author and execute verification plans (SIL/HIL, regression, environmental) to validate performance, safety, and airworthiness compliance under diverse conditions. Analyse flight-test data to uncover issues, drive root-cause analysis, and recommend design or process improvements. Skills & Qualifications Must-Have Bachelor’s degree in Computer Science, Aerospace, Electronics, Robotics, or related discipline. 3-6 yrs experience building or testing ground-control stations, mission-planning software, or real-time operator consoles for UAVs or similar robotics. Proficiency in C/C++ or Python plus familiarity with version control and CI/CD pipelines. Working knowledge of telemetry protocols (MAVLink, DDS, RTPS) and networking fundamentals (UDP/TCP, QoS). Hands-on experience with simulation tools (e.g., Gazebo, X-Plane, MATLAB/Simulink) and basic flight-dynamics principles. Strong troubleshooting skills across Linux/Windows OS, embedded hardware, and RF/antenna setups. Preferred Exposure to airworthiness or safety standards (DO-178C, DO-330, DO-331). Experience integrating payload sensors (ISR, EO/IR, LIDAR) and autonomous mission workflows. Familiarity with Docker/Kubernetes for containerised GCS deployments. Prior participation in flight-test campaigns and post-mission data analytics. Knowledge of JavaFX, Qt, or React-based UIs for operator consoles. Certifications in drone pilot licensing or regulatory compliance (DGCA, FAA Part 107). Skills: Simulation tools,Airworthiness Standards,Drone integration,Flight testing & Analysis,Ground Control System,Mission planning systems Show more Show less

About The Opportunity Operating at the cutting edge of Aerospace & Unmanned Aerial Systems (UAS) , our Mobility Solutions division engineers next-generation ground-control hardware and software that connect autonomous aircraft to operators across complex environments. From mission-planning GUIs to secure telemetry links, we tackle real-time challenges where reliability, safety, and intuitive UX converge. Role & Responsibilities Co-develop ground-control software and workstation hardware for mission planning, telemetry monitoring, and command-and-control of multi-rotor and fixed-wing UAV fleets. Integrate GCS with avionics, nav-systems, and SATCOM/RF links, collaborating closely with flight-control, payload, and networking teams to ensure seamless data flow. Write, debug, and unit-test code in C/C++, Python, or Java; contribute to modular architectures that scale from desktop to ruggedized field stations. Configure, calibrate, and troubleshoot ground stations for lab, field-test, and customer demos, documenting best-practice deployment playbooks. Author and execute verification plans (SIL/HIL, regression, environmental) to validate performance, safety, and airworthiness compliance under diverse conditions. Analyse flight-test data to uncover issues, drive root-cause analysis, and recommend design or process improvements. Skills & Qualifications Must-Have Bachelor’s degree in Computer Science, Aerospace, Electronics, Robotics, or related discipline. 3-6 yrs experience building or testing ground-control stations, mission-planning software, or real-time operator consoles for UAVs or similar robotics. Proficiency in C/C++ or Python plus familiarity with version control and CI/CD pipelines. Working knowledge of telemetry protocols (MAVLink, DDS, RTPS) and networking fundamentals (UDP/TCP, QoS). Hands-on experience with simulation tools (e.g., Gazebo, X-Plane, MATLAB/Simulink) and basic flight-dynamics principles. Strong troubleshooting skills across Linux/Windows OS, embedded hardware, and RF/antenna setups. Preferred Exposure to airworthiness or safety standards (DO-178C, DO-330, DO-331). Experience integrating payload sensors (ISR, EO/IR, LIDAR) and autonomous mission workflows. Familiarity with Docker/Kubernetes for containerised GCS deployments. Prior participation in flight-test campaigns and post-mission data analytics. Knowledge of JavaFX, Qt, or React-based UIs for operator consoles. Certifications in drone pilot licensing or regulatory compliance (DGCA, FAA Part 107). Skills: Simulation tools,Airworthiness Standards,Drone integration,Flight testing & Analysis,Ground Control System,Mission planning systems Show more Show less

Job Requisition Document Job Title: Software Engineer – React & Ruby (Medical Platform) Location: Thiruvananthapuram, Kerala About Us:Our success is driven by our ability to consistently deliver world-class, high-quality talent, particularly in the areas of precision engineering, assembly line operations, and other skilled manpower across diverse industrial domains. Among our esteemed clients is a listed Japanese company that is set to begin its operations in Technopark, Thiruvananthapuram, further reinforcing our standing as a premier recruitment partner in the region. Job Summary: We are seeking a skilled and motivated Software Engineer to join our dynamic multinational team. This role focuses on the development and enhancement of a sophisticated medical-related platform. The ideal candidate will have strong experience in React and Ruby, with a passion for building high-quality, impactful software solutions in the healthcare domain. Responsibilities: ● Design, develop, test, deploy, and maintain robust and scalable web applications using React.js and Ruby on Rails. ● Collaborate effectively with cross-functional, multinational teams including product managers, designers, and other engineers to deliver high-quality software solutions. ● Develop and integrate user-facing elements with server-side logic. ● Build reusable components and front-end libraries for future use (React). ● Develop and maintain efficient, reusable, and reliable Ruby code. ● Ensure the technical feasibility of UI/UX designs. ● Optimize applications for maximum speed, scalability, and responsiveness. ● Implement security and data protection measures. ● Participate in code reviews to maintain code quality and share knowledge. ● Troubleshoot, debug, and upgrade existing software, ensuring platform stability and performance. ● Integrate data storage solutions, including databases. ● Contribute to all phases of the software development lifecycle, from concept and design to testing and deployment. ● Stay updated with emerging technologies and industry best practices. Mandatory Technical Skills, Experience: 1 to 5 Years relevant experience ● Proven experience as a Software Engineer or similar role. ● Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model. ● Thorough understanding of React.js and its core principles (e.g., components, state, props, hooks). ● Experience with popular React.js workflows (such as Flux or Redux). ● Strong proficiency in Ruby and the Ruby on Rails framework. ● Solid understanding of object-oriented programming. ● Experience with front-end technologies such as HTML5, CSS3, and responsive design. ● Familiarity with RESTful APIs and web services. ● Experience with database technologies (e.g., PostgreSQL, MySQL, MongoDB). ● Proficient understanding of code versioning tools, such as Git. ● Familiarity with modern front-end build pipelines and tools. ● Experience with automated testing suites and TDD/BDD principles. ● Understanding of agile development methodologies. Additional (Nice to have) Skills: ● Experience with Swift programming. ● Experience working on medical-related platforms or within the healthcare industry (familiarity with standards like HIPAA, FHIR is a plus). ● Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud). ● Knowledge of other back-end languages (e.g., Python, Node.js). ● Experience with containerization technologies like Docker and orchestration tools like Kubernetes. ● Understanding of CI/CD pipelines. Behavioral Skills (1st 3 skills below are mandatory only for Senior role): ● Leadership Potential: Demonstrated ability or strong potential to guide and support a small team, fostering a collaborative and productive environment. This includes providing guidance, mentoring junior team members and delegating tasks effectively. ● Communication Excellence: Exceptional verbal and written communication skills, with the ability to clearly and concisely convey technical information to both technical and non- technical audiences, including clients. ● Client Relationship Management: Ability to build and maintain positive relationships with clients, understand their needs and expectations and proactively address any concerns. ● Problem-Solving and Analytical Thinking: Strong analytical and problem-solving skills with the ability to identify root causes of issues, evaluate different solutions and implement effective resolutions, both independently and within a team. ● Adaptability and Flexibility: Ability to adapt to changing project requirements, client demands and work environments. ● Collaboration and Teamwork: Proven ability to work effectively within a team, contributing positively to team goals, sharing knowledge and supporting colleagues. ● Ownership and Accountability: Takes ownership of assigned tasks and responsibilities, demonstrates a strong sense of accountability for delivering high-quality work within deadlines. ● Proactiveness and Initiative: Demonstrates a proactive approach to work, identifying potential issues or opportunities for improvement and taking initiative to address them. ● Professionalism and Integrity: Maintains a high level of professionalism, ethical conduct and integrity in all interactions, both internally and with clients. ● Time Management and Organization: Excellent time management and organizational skills, with the ability to prioritize tasks, manage workload effectively and meet deadlines in a fast-paced environment. Education: Bachelor's degree in Computer Science/Electronics/Electrical Engineering. Salary: Best in the Market Job Type: Permanent Location Type: In-person Ability to commute/relocate: Thiruvananthapuram, Kerala: Reliably commute or planning to relocate before starting work (Required) Experience: 1. Software Engineer – React & Ruby (Medical Platform): 1 year (Required) Work Location: In person

Tata Capital Ltd is looking for Manager - DSMG - BL, PL, UCL & LAP - X Bucket to join our dynamic team and embark on a rewarding career journey Delegating responsibilities and supervising business operations Hiring, training, motivating and coaching employees as they provide attentive, efficient service to customers, assessing employee performance and providing helpful feedback and training opportunities. Resolving conflicts or complaints from customers and employees. Monitoring store activity and ensuring it is properly provisioned and staffed. Analyzing information and processes and developing more effective or efficient processes and strategies. Establishing and achieving business and profit objectives. Maintaining a clean, tidy business, ensuring that signage and displays are attractive. Generating reports and presenting information to upper-level managers or other parties. Ensuring staff members follow company policies and procedures. Other duties to ensure the overall health and success of the business.

Job Description Job Title: Sr. DevOps Engineer - Hyderabad Candidate Specification: Minimum 10 to 15 Years of Experience. Job Description Experience in DevOps Engineer - Manual Testing and Web Application tester Hands-on experience with DevOps tools like Jenkins, Docker, Kubernetes, Git, and artifact repositories. Familiarity with cloud platforms (AWS, Azure, or GCP). Experience in containerization (Docker, Kubernetes) and CI/CD tools. Exposure to test automation frameworks (e.g., Selenium, Postman for API testing) Collaborate with QA teams to plan, execute, and document manual test cases Skills Required RoleSenior Devops Engineer - Contract Hiring Industry TypeIT/ Computers - Software Functional Area Required Education Bachelor Degree Employment TypeFull Time, Permanent Key Skills MANUAL T ESTING WINDOWS APPLICATION TESTER Other Information Job CodeGO/JC/317/2025 Recruiter NameChristopher Show more Show less

We are seeking a skilled Systems Engineer specializing in Azure and DevOps to join our team. As a Systems Engineer focusing on Azure and DevOps, you will design, build, and maintain scalable infrastructure while optimizing CI/CD pipelines. You will work closely with development teams to automate workflows and ensure system reliability. If you're ready to make an impact, we encourage you to apply. Responsibilities Design, build, and maintain scalable Azure infrastructure using Infrastructure as Code (IaC) tools Create, manage, and optimize CI/CD pipelines using GitLab CI/CD Automate configuration management and provisioning tasks using Ansible Collaborate with development teams to automate build, test, and deployment workflows Monitor systems for reliability, availability, and performance using tools like Azure Monitor, Prometheus, or Grafana Implement security best practices in CI/CD pipelines and Azure infrastructure Requirements 3-6 years of experience in DevOps roles with a strong focus on Azure cloud services Proven experience with GitLab CI/CD for pipeline creation, management, and automation Hands-on expertise with Ansible for configuration management and orchestration Experience with containerization using Docker and orchestration with Kubernetes Strong scripting skills in Bash, PowerShell, or Python Good understanding of Azure services such as VMs, Networking, Key Vault, Storage, Azure AD, etc. Experience with Infrastructure as Code tools like Terraform Show more Show less

About the Role: We’re looking Node.js Backend Developer with 3+ years experience must to join our development team. The ideal candidate is passionate about building robust backend systems and has strong practical knowledge of tools and libraries commonly used in real-world applications. Key Responsibilities: Develop and maintain scalable backend services using Node.js Work with Kafka , RabbitMQ , or similar message brokers for asynchronous processing Build RESTful APIs using Express (or similar frameworks) Collaborate with frontend developers and other team members via Git and pull requests Consume and integrate third-party APIs using Axios or similar HTTP clients Write clean, maintainable, well-documented code following best practices Participate in code reviews and contribute to improving development processes Required Skills: 3+ years of backend development experience with Node.js Strong experience with Express.js Solid understanding of asynchronous programming and event-driven architecture Practical experience with Kafka , RabbitMQ , or other message queues Good knowledge of API integration using tools like Axios Strong command of Git , including branching, pull requests, and code reviews Familiarity with RESTful APIs , JSON , and general HTTP communication Experience with databases (MongoDB, PostgreSQL, or similar) Team-oriented mindset and strong communication skills Nice-to-Have: Experience with NestJS Familiarity with unit testing frameworks (e.g., Jest , Mocha ) Experience working in an Agile/Scrum environment Basic knowledge of Docker (not mandatory) What We Offer: Competitive compensation Flexible work environment Opportunity to work on meaningful, real-world systems Supportive and skilled development team Job Types: Full-time, Permanent Pay: From ₹40,000.00 per month Benefits: Paid sick time Location Type: In-person Schedule: Day shift Fixed shift Morning shift Ability to commute/relocate: Connaught Place, Delhi, Delhi: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Did you know about microservices ? Experience: Back-end development: 3 years (Required) Node.js: 3 years (Required) Work Location: In person Expected Start Date: 01/07/2025

Senior Data Scientist — Gen AI/ML Expert Location: Hybrid — Gurugram Company: Mechademy – Industrial Reliability & Predictive Analytics About Mechademy At Mechademy, we are redefining the future of reliability in rotating machinery with our flagship product, Turbomechanica . Built at the intersection of physics-based models, AI, and machine learning , Turbomechanica delivers prescriptive analytics that detect potential equipment issues before they escalate, maximizing uptime, extending asset life, and reducing operational risks for our industrial clients. The Role We are seeking a talented and driven Senior Data Scientist (AI/ML) with 3+ years of experience to join our AI team. You will play a critical role in building scalable ML pipelines, integrating cutting-edge language models, and developing autonomous agent-based systems that transform predictive maintenance is done for industrial equipment. This is a highly technical and hands-on role, with strong emphasis on real-world AI deployments — working directly with sensor data, time-series analytics, anomaly detection, distributed ML, and LLM-powered agentic workflows . What Makes This Role Unique Work on real-world industrial AI problems , combining physics-based models with modern ML/LLM systems. Collaborate with domain experts, engineers, and product leaders to directly impact critical industrial operations. Freedom to experiment with new tools, models, and techniques — with full ownership of your work. Help shape our technical roadmap as we scale our AI-first predictive analytics platform. Flexible hybrid work culture with high-impact visibility. Key Responsibilities Design & Develop ML Pipelines: Build scalable, production-grade ML pipelines for predictive maintenance, anomaly detection, and time-series analysis. Distributed Model Training: Leverage distributed computing frameworks (e.g. Ray, Dask, Spark, Horovod) for large-scale model training. LLM Integration & Optimization: Fine-tune, optimize, and deploy large language models (Llama, GPT, Mistral, Falcon, etc.) for applications like summarization, RAG (Retrieval-Augmented Generation), and knowledge extraction. Agent-Based AI Pipelines: Build intelligent multi-agent systems capable of reasoning, planning, and executing complex tasks via tool usage, memory, and coordination. End-to-End MLOps: Own the full ML lifecycle — from research, experimentation, deployment, monitoring to production optimization. Algorithm Development: Research, evaluate, and implement state-of-the-art ML/DL/statistical algorithms for real-world sensor data. Collaborative Development: Work closely with cross-functional teams including software engineers, domain experts, product managers, and leadership. Core Requirements 3+ years of professional experience in AI/ML, data science, or applied ML engineering. Strong hands-on experience with modern LLMs (Llama, GPT series, Mistral, Falcon, etc.), fine-tuning, prompt engineering, and RAG techniques. Familiarity with frameworks like LangChain, LlamaIndex , or equivalent for LLM application development. Practical experience in agentic AI pipelines : tool use, sequential reasoning, and multi-agent orchestration. Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and at least one deep learning framework (TensorFlow, PyTorch, or JAX). Exposure to distributed ML frameworks (Ray, Dask, Horovod, Spark ML, etc.). Experience with containerization and orchestration (Docker, Kubernetes). Strong problem-solving ability, ownership mindset, and ability to work in fast-paced startup environments. Excellent written and verbal communication skills. Bonus / Good to Have Experience with time-series data, sensor data processing, and anomaly detection. Familiarity with CI/CD pipelines and MLOps best practices. Knowledge of cloud deployment, real-time system optimization, and industrial data security standards. Prior open-source contributions or active GitHub projects. What We Offer Opportunity to work on cutting-edge technology transforming industrial AI. Direct ownership, autonomy, and visibility into product impact. Flexible hybrid work culture. Professional development budget and continuous learning opportunities. Collaborative, fast-moving, and growth-oriented team culture. Health benefits and performance-linked rewards. Potential for equity participation for high-impact contributors. Note: Title and compensation will be aligned with the candidate’s experience and potential impact. Show more Show less

Job Description Job Title – Senior Data Scientist Candidate Specification – 10+ years, Notice Period – Immediate to 30 days, Hybrid. Job Summary We are seeking a highly skilled and experienced Senior Data Scientist to join our advanced analytics team. The ideal candidate will possess strong statistical and machine learning expertise, hands-on programming skills, and the ability to transform data into actionable business insights. This role also requires domain understanding to align data science efforts with business objectives in industries such as Oil & Gas, Pharma, Automotive, Desalination, and Industrial Equipment . Primary Responsibilities Lead the design, development, and deployment of advanced machine learning and statistical models Analyze large, complex datasets to uncover trends, patterns, and actionable insights Collaborate cross-functionally with business, engineering, and domain teams to define analytical problems and deliver impactful solutions Apply deep understanding of business objectives to drive the application of data science in decision-making Ensure the quality, integrity, and governance of data used for modeling and analytics Guide junior data scientists and review code and models for scalability and accuracy Core Competencies (Primary Skills) Statistical Analysis & Mathematics Strong foundation in probability, statistics, linear algebra, and calculus Experience with hypothesis testing, A/B testing, and regression models Machine Learning & Deep Learning Proficient in supervised/unsupervised learning, ensemble techniques Hands-on experience with neural networks, NLP, and computer vision Business Acumen & Domain Knowledge Proven ability to translate business needs into data science solutions Exposure to domains such as Oil & Gas, Pharma, Automotive, Desalination, and Industrial Pumps/Motors Technical Proficiency Programming Languages: Python, R, SQL Libraries & Tools: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch Data Visualization: Matplotlib, Seaborn, Plotly, Tableau, Power BI MLOps & Deployment: Docker, Kubernetes, MLflow, Airflow Cloud & Big Data (Preferred): AWS, GCP, Azure, Spark, Hadoop, Hive, Presto Secondary Skills (Preferred) Generative AI: GPT-based models, fine-tuning, open-source LLMs, Agentic AI frameworks Project Management: Agile methodologies, sprint planning, stakeholder communication Skills Required RoleSenior Data Scientist - Contract Hiring Industry TypeIT/ Computers - Software Functional Area Required Education Bachelor Degree Employment TypeFull Time, Permanent Key Skills DEEP LEARNING MACHINE LAEARNING PYHTON S TATISTICAL ANALYSIS Other Information Job CodeGO/JC/375/2025 Recruiter NameChristopher Show more Show less

Job Description As a Senior Experience Engineer, youll be working as part of an agile team with other passionate, driven, and talented people, creating innovative solutions for our clients. Your primary responsibilities will include developing interactive web-based, mobile, and/or desktop applications using Sapient as well as industry best practices to deliver high value and quality to the client. Your Impact: Own the end-to-end technical implementation of features across the frontend and backend. Collaborate with product owners, architects, and designers to break down complex problems into deliverable stories. Implement stories end-to-end, which includes Frontend, Caching using best engineering practices like test-driven development, SOLID principles and consideration of non-functional requirements like performance, scalability, security or cloud readiness (as applicable) at the story level Automates testing at unit, module and integration level as needed using tools relevant for the platform (e.g. Jasmine, Jest, etc.) Focus on quality by implementing best practices like logging, calling out technical debt, meeting KPIs using code quality tools like SonarQube, ESLint (customize and sync with Sonar), Stylelint/Sasslint and so on. Hands-on with automating redundant work, like common component structure, both in terms of scaffolding as well as using the right design patterns / creating abstractions. Mentor junior engineers in helping review code, guiding on technical decision making. Skills & Experience: ands-on development experience. Proficiency in React, Redux, and core web technologies (HTML5, CSS3, JavaScript/TypeScript). Solid understanding of component design, hooks, context, and performance optimization in React . Experience building and scaling backend applications with NestJS . Familiarity with GraphQL (Apollo, code-first/schema-first approaches). Strong knowledge of PostgreSQL or other relational databases. Experience working with RESTful APIs and Microservices architecture. Solid grasp of TDD, writing tests with Jest, and maintaining code coverage. Comfortable with Node.js tooling, versioned via nvm. Experience with CI/CD, Docker, and development pipelines. Familiarity with web performance tools and optimization techniques. Understanding of accessibility and SEO fundamentals. Bonus: Exposure to TypeORM, Prisma, Cypress, or Playwright for E2E testing. Set Yourself Apart With: Hands-on experience with Functional Programming (FP) Good understanding of REST APIs and Microservices. Should have an understanding of how resources are organized and how an application should align based on the same. You are expected to have an understanding of how CRUD operations map to HTTP methods for a well-designed service. Hands-on with DevOps pipeline and able to tweak/change build/deployment pipeline as needed in the context of a module (e.g. Jenkins / Travis / Now.sh / Gitlab). Good understanding of E2E tests using cypress.

Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: MAM, App integration Crop.Photo is Looking for: Technical Lead for Evolphin AI-Driven MAM At Evolphin, we build powerful media asset management solutions used by some of the world’s largest broadcasters, creative agencies, and global brands. Our flagship platform, Zoom, helps teams manage high-volume media workflows—from ingest to archive—with precision, performance, and AI-powered search. We’re now entering a major modernization phase, and we’re looking for an exceptional Technical Lead to own and drive the next-generation database layer powering Evolphin Zoom. This is a rare opportunity to take a critical backend system that serves high-throughput media operations and evolve it to meet the scale, speed, and intelligence today’s content teams demand. What you’ll own Leading the re-architecture of Zoom’s database foundation with a focus on scalability, query performance, and vector-based search support Replacing or refactoring our current in-house object store and metadata database to a modern, high-performance elastic solution Collaborating closely with our core platform engineers and AI/search teams to ensure seamless integration and zero disruption to existing media workflows Designing an extensible system that supports object-style relationships across millions of assets, including LLM-generated digital asset summaries, time-coded video metadata, AI generated tags, and semantic vectors Driving end-to-end implementation: schema design, migration tooling, performance benchmarking, and production rollout—all with aggressive timelines Skills & Experience We Expect We’re looking for candidates with 7–10 years of hands-on engineering experience, including 3+ years in a technical leadership role. Your experience should span the following core areas: System Design & Architecture (3–4 yrs) Strong hands-on experience with the Java/JVM stack (GC tuning), Python in production environments Led system-level design for scalable, modular AWS microservices architectures Designed high-throughput, low-latency media pipelines capable of scaling to billions of media records Familiar with multitenant SaaS patterns, service decomposition, and elastic scale-out/in models Deep understanding of infrastructure observability, failure handling, and graceful degradation Database & Metadata Layer Design (3–5 yrs) Experience redesigning or implementing object-style metadata stores used in MAM/DAM systems Strong grasp of schema-less models for asset relationships, time-coded metadata, and versioned updates Practical experience with DynamoDB, Aurora, PostgreSQL, or similar high-scale databases Comfortable evaluating trade-offs between memory, query latency, and write throughput Semantic Search & Vectors (1–3 yrs) Implemented vector search using systems like Weaviate, Pinecone, Qdrant, or Faiss Able to design hybrid (structured + semantic) search pipelines for similarity and natural language use cases Experience tuning vector indexers for performance, memory footprint, and recall Familiar with the basics of embedding generation pipelines and how they are used for semantic search and similarity-based retrieval Worked with MLOps teams to deploy ML inference services (e.g., FastAPI/Docker + GPU-based EC2 or SageMaker endpoints) Understands the limitations of recognition models (e.g., OCR, face/object detection, logo recognition), even if not directly building them Media Asset Workflow (2–4 yrs) Deep familiarity with broadcast and OTT formats: MXF, IMF, DNxHD, ProRes, H.264, HEVC Understanding of proxy workflows in video post-production Experience with digital asset lifecycle: ingest, AI metadata enrichment, media transformation, S3 cloud archiving Hands-on experience working with time-coded metadata (e.g., subtitles, AI tags, shot changes) management in media archives Cloud-Native Architecture (AWS) (3–5 yrs) Strong hands-on experience with ECS, Fargate, Lambda, S3, DynamoDB, Aurora, SQS, EventBridge Experience building serverless or service-based compute models for elastic scaling Familiarity with managing multi-region deployments, failover, and IAM configuration Built cloud-native CI/CD deployment pipelines with event-driven microservices and queue-based workflows Frontend Collaboration & React App Integration (2–3 yrs) Worked closely with React-based frontend teams, especially on desktop-style web applications Familiar with component-based design systems, REST/GraphQL API integration, and optimizing media-heavy UI workflows Able to guide frontend teams on data modeling, caching, and efficient rendering of large asset libraries Experience with Electron for desktop apps How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

About Knowdis.ai Knowdis.ai is an AI-first company specializing in e-commerce applications. We harness the power of machine learning and AI to enhance e-commerce operations, optimize customer experiences, and drive growth. If you are passionate about AI-driven product innovation, this is the perfect opportunity to make a meaningful impact. Key Responsibilities: - Infrastructure Management: Build scalable and robust infrastructure for ML models, ensuring seamless production integration. - CI/CD Expertise: Develop and maintain CI/CD pipelines with a focus on ML model deployment. - Model Deployment and Monitoring: Deploy ML models using TensorFlow Serving, Pytorch Serving, Triton Inference Server, or TensorRT and monitor their performance in production. - Collaboration: Work closely with data scientists and software engineers to transition ML models from research to production. - Security and Compliance: Uphold security protocols and ensure regulatory compliance in ML systems. Skills and Experience Required: - Proficiency in Docker and Kubernetes for containerization and orchestration. - Experience with CI/CD pipeline development and maintenance. - Experience in deploying ML models using TensorFlow Serving, Pytorch Serving, Triton Inference Server, and TensorRT. - Experience with cloud platforms like AWS, Azure, and GCP. - Strong problem-solving, communication, and teamwork skills. Qualifications: - Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field. - 4-6 years of experience in ML project management, with a recent focus on MLOps. Additional Competencies: - AI Technologies Deployment, Data Engineering, IT Performance, Scalability Testing, and Security Practices. SELECTION PROCESS: Interested Candidates are mandatorily required to apply through this listing on Jigya. Only applications received through Jigya will be evaluated further. Shortlisted candidates may be required to appear in an Online Assessment administered by Jigya on behalf of the Client. Candidates selected after the screening test will be interviewed by the Client Show more Show less

Job Summary We're hiring top-tier backend talent in India to work on mission-critical services for international projects. Job Description Company Overview: Outsourced is a leading ISO certified India & Philippines offshore outsourcing company that provides dedicated remote staff to some of the world's leading international companies. Outsourced is recognized as one of the Best Places to Work and has achieved Great Place to Work Certification. We are committed to providing a positive and supportive work environment where all staff can thrive. As an Outsourced staff member, you will enjoy a fun and friendly working environment, competitive salaries, opportunities for growth and development, work-life balance, and the chance to share your passion with a team of over 1000 talented professionals. Job Summary We are hiring two (2) Senior Golang Developers who will play a key role in designing and optimizing backend systems. This is a fully remote role, ideal for engineers who thrive in distributed teams and are passionate about building scalable infrastructure using modern cloud-native technologies. Must-Have Skills Candidates Must Have 5+ years of professional experience in backend or systems development. Proficiency in Golang, capable of writing clean, scalable, production-ready code. Hands-on experience with AWS, including deployments, monitoring, and system scaling. Database expertise in both SQL and NoSQL systems, specifically: PostgreSQL Redis Strong knowledge of Kubernetes, particularly in container orchestration and service operations. Experience developing and maintaining high-traffic, high-availability systems. Understanding of concurrency and multithreading principles in Golang. Bachelor’s degree or Diploma in Computer Science or a related technical field. Nice-to-Have Skills Familiarity with PHP, Python, or Scala Experience with CI/CD pipelines, Docker, or distributed systems Knowledge of additional backend frameworks and cloud tools Key Responsibilities Architect, develop, and maintain scalable backend services using Golang. Collaborate with DevOps, QA, and cross-functional teams to deliver reliable software. Participate in code reviews, architectural discussions, and sprint planning. Troubleshoot and resolve issues in staging and production environments. Write automated tests and ensure high coverage and quality. Mentor junior developers and share best practices across the team. What We Offer Health Insurance: We provide medical coverage up to 20 lakh per annum, which covers you, your spouse, and a set of parents. This is available after one month of successful engagement. Professional Development: You'll have access to a monthly upskill allowance of ₹5000 for continued education and certifications to support your career growth. Leave Policy: Vacation Leave (VL): 10 days per year, available after probation. You can carry over or encash up to 5 unused days. Casual Leave (CL): 8 days per year for personal needs or emergencies, available from day one. Sick Leave: 12 days per year, available after probation. Flexible Work Hours or Remote Work Opportunities – Depending on the role and project. Outsourced Benefits such as Paternity Leave, Maternity Leave, etc. Show more Show less

DevOps Engineer L1 Role Overview: As a DevOps Engineer (L1), you will assist in automating processes, managing deployments, and maintaining the infrastructure. This role is ideal for someone with foundational knowledge of DevOps principles who is eager to grow in a fast-paced environment. Key Responsibilities: Support and maintain CI/CD pipelines to streamline deployments. Monitor application performance and troubleshoot issues. Perform routine tasks such as server monitoring, log analysis, and backup management. Collaborate with development teams to ensure smooth releases. Maintain and optimize cloud infrastructure (e.g., AWS, Azure, or GCP). Ensure basic security measures, including firewall configuration and patch management.  Qualifications: Bachelor’s degree in Computer Science, IT, or a related field. Experience with CI/CD tools like Jenkins, GitLab, or CircleCI. Basic knowledge of cloud platforms (AWS, Azure, or GCP). Familiarity with Linux/Unix systems and scripting languages (e.g., Bash, Python). Understanding of containerization (Docker) and orchestration tools (Kubernetes is a plus). Good problem-solving skills and a willingness to learn. Show more Show less

Website: Leading Global Technology Research & Advisory Firm | ISG (isg-one.com) Wanted: dynamic and creative individuals ready to connect with a like-minded team. Youll enjoy all the autonomy you need to help our clients make their digital infrastructure faster and more effective. Free reign for free spirits doesnt mean youve got to go it alone. Over 1400 teammates from around the globe are eager to help you out when things get down to wire. Their expertise will put you on the winning path and keep you there. So, get ready to kickstart your career with a team that’s connected – connected by freedom. Company Overview: As a leading global technology research and advisory firm, ISG partners with our clients to determine a future vision, lead rapid change and realize the value of your digital investments at scale. We’re more than consultants: we help our clients achieve operational excellence and faster growth Person Specification: ISG is looking to recruit an experienced software development professional with a minimum of 6 years experience and a proven track record in full-stack development, especially the delivery of projects using Angular 15+, .NET Core WebAPIs, and SQL Server. Strong experience with Angular 15+ and .NET Core is essential, along with advanced SQL Server skills. The successful candidate will have excellent communication skills, strong leadership, a proven track record of delivery, and a detailed knowledge of software design principles and best practices in both frontend and backend development. Job Description: Develop bespoke solutions for the corporate business platforms. Help to maintain the platform content where necessary. Participate in regular code reviews and provide updates on task progress. Work closely with other relevant teams to ensure alignment and coordination across development operations as part of the seamless implementation of existing and new systems. Take responsibility for assigned tasks, issues, and ensure delivery on time and to the required quality standard. Understand the business and ensure software delivery is targeted to align with the overall company strategy. Contribute to the improvement of development processes and adoption of best practices Required Skills and Experience: Bachelor’s degree in the field of computer science, information systems, or computer engineering. Excellent communication skills with a strong understanding of client experience Strong proficiency in Angular 15+ and TypeScript. Extensive experience with . NET Core, especially in developing WebAPIs. Solid understanding of RESTful API design and implementation Analytical mind with problem-solving aptitude Ability to work independently Excellent organizational and leadership skills Nice to Haves: Experience with Agile methodologies (Scrum, Kanban) Familiarity with DevOps practices and tools Knowledge of cloud platforms, preferably Microsoft Azure Experience with containerization technologies (e.g., Docker) Familiarity with front-end state management libraries (e.g., NgRx) Understanding of responsive design principles Experience with unit testing and end-to-end testing frameworks Knowledge of database design patterns and optimization techniques Familiarity with Microsoft PowerBI. At ISG, we don’t just accept difference — we celebrate it, we support it, and we thrive on it for the benefit of our employees, our clients, and our communities. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. ISG is proud to be an equal opportunity workplace and we are committed to creating an inclusive environment for all employees. The more diverse and inclusive we are, the better our work will be. The duties and responsibilities described in this job description may not be a comprehensive list. Additional tasks may be assigned to the employee from time to time and/or the scope of the job may change as necessitated by business demands.

Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: MAM, App integration Crop.Photo is Looking for: Technical Lead for Evolphin AI-Driven MAM At Evolphin, we build powerful media asset management solutions used by some of the world’s largest broadcasters, creative agencies, and global brands. Our flagship platform, Zoom, helps teams manage high-volume media workflows—from ingest to archive—with precision, performance, and AI-powered search. We’re now entering a major modernization phase, and we’re looking for an exceptional Technical Lead to own and drive the next-generation database layer powering Evolphin Zoom. This is a rare opportunity to take a critical backend system that serves high-throughput media operations and evolve it to meet the scale, speed, and intelligence today’s content teams demand. What you’ll own Leading the re-architecture of Zoom’s database foundation with a focus on scalability, query performance, and vector-based search support Replacing or refactoring our current in-house object store and metadata database to a modern, high-performance elastic solution Collaborating closely with our core platform engineers and AI/search teams to ensure seamless integration and zero disruption to existing media workflows Designing an extensible system that supports object-style relationships across millions of assets, including LLM-generated digital asset summaries, time-coded video metadata, AI generated tags, and semantic vectors Driving end-to-end implementation: schema design, migration tooling, performance benchmarking, and production rollout—all with aggressive timelines Skills & Experience We Expect We’re looking for candidates with 7–10 years of hands-on engineering experience, including 3+ years in a technical leadership role. Your experience should span the following core areas: System Design & Architecture (3–4 yrs) Strong hands-on experience with the Java/JVM stack (GC tuning), Python in production environments Led system-level design for scalable, modular AWS microservices architectures Designed high-throughput, low-latency media pipelines capable of scaling to billions of media records Familiar with multitenant SaaS patterns, service decomposition, and elastic scale-out/in models Deep understanding of infrastructure observability, failure handling, and graceful degradation Database & Metadata Layer Design (3–5 yrs) Experience redesigning or implementing object-style metadata stores used in MAM/DAM systems Strong grasp of schema-less models for asset relationships, time-coded metadata, and versioned updates Practical experience with DynamoDB, Aurora, PostgreSQL, or similar high-scale databases Comfortable evaluating trade-offs between memory, query latency, and write throughput Semantic Search & Vectors (1–3 yrs) Implemented vector search using systems like Weaviate, Pinecone, Qdrant, or Faiss Able to design hybrid (structured + semantic) search pipelines for similarity and natural language use cases Experience tuning vector indexers for performance, memory footprint, and recall Familiar with the basics of embedding generation pipelines and how they are used for semantic search and similarity-based retrieval Worked with MLOps teams to deploy ML inference services (e.g., FastAPI/Docker + GPU-based EC2 or SageMaker endpoints) Understands the limitations of recognition models (e.g., OCR, face/object detection, logo recognition), even if not directly building them Media Asset Workflow (2–4 yrs) Deep familiarity with broadcast and OTT formats: MXF, IMF, DNxHD, ProRes, H.264, HEVC Understanding of proxy workflows in video post-production Experience with digital asset lifecycle: ingest, AI metadata enrichment, media transformation, S3 cloud archiving Hands-on experience working with time-coded metadata (e.g., subtitles, AI tags, shot changes) management in media archives Cloud-Native Architecture (AWS) (3–5 yrs) Strong hands-on experience with ECS, Fargate, Lambda, S3, DynamoDB, Aurora, SQS, EventBridge Experience building serverless or service-based compute models for elastic scaling Familiarity with managing multi-region deployments, failover, and IAM configuration Built cloud-native CI/CD deployment pipelines with event-driven microservices and queue-based workflows Frontend Collaboration & React App Integration (2–3 yrs) Worked closely with React-based frontend teams, especially on desktop-style web applications Familiar with component-based design systems, REST/GraphQL API integration, and optimizing media-heavy UI workflows Able to guide frontend teams on data modeling, caching, and efficient rendering of large asset libraries Experience with Electron for desktop apps How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: MAM, App integration Crop.Photo is Looking for: Technical Lead for Evolphin AI-Driven MAM At Evolphin, we build powerful media asset management solutions used by some of the world’s largest broadcasters, creative agencies, and global brands. Our flagship platform, Zoom, helps teams manage high-volume media workflows—from ingest to archive—with precision, performance, and AI-powered search. We’re now entering a major modernization phase, and we’re looking for an exceptional Technical Lead to own and drive the next-generation database layer powering Evolphin Zoom. This is a rare opportunity to take a critical backend system that serves high-throughput media operations and evolve it to meet the scale, speed, and intelligence today’s content teams demand. What you’ll own Leading the re-architecture of Zoom’s database foundation with a focus on scalability, query performance, and vector-based search support Replacing or refactoring our current in-house object store and metadata database to a modern, high-performance elastic solution Collaborating closely with our core platform engineers and AI/search teams to ensure seamless integration and zero disruption to existing media workflows Designing an extensible system that supports object-style relationships across millions of assets, including LLM-generated digital asset summaries, time-coded video metadata, AI generated tags, and semantic vectors Driving end-to-end implementation: schema design, migration tooling, performance benchmarking, and production rollout—all with aggressive timelines Skills & Experience We Expect We’re looking for candidates with 7–10 years of hands-on engineering experience, including 3+ years in a technical leadership role. Your experience should span the following core areas: System Design & Architecture (3–4 yrs) Strong hands-on experience with the Java/JVM stack (GC tuning), Python in production environments Led system-level design for scalable, modular AWS microservices architectures Designed high-throughput, low-latency media pipelines capable of scaling to billions of media records Familiar with multitenant SaaS patterns, service decomposition, and elastic scale-out/in models Deep understanding of infrastructure observability, failure handling, and graceful degradation Database & Metadata Layer Design (3–5 yrs) Experience redesigning or implementing object-style metadata stores used in MAM/DAM systems Strong grasp of schema-less models for asset relationships, time-coded metadata, and versioned updates Practical experience with DynamoDB, Aurora, PostgreSQL, or similar high-scale databases Comfortable evaluating trade-offs between memory, query latency, and write throughput Semantic Search & Vectors (1–3 yrs) Implemented vector search using systems like Weaviate, Pinecone, Qdrant, or Faiss Able to design hybrid (structured + semantic) search pipelines for similarity and natural language use cases Experience tuning vector indexers for performance, memory footprint, and recall Familiar with the basics of embedding generation pipelines and how they are used for semantic search and similarity-based retrieval Worked with MLOps teams to deploy ML inference services (e.g., FastAPI/Docker + GPU-based EC2 or SageMaker endpoints) Understands the limitations of recognition models (e.g., OCR, face/object detection, logo recognition), even if not directly building them Media Asset Workflow (2–4 yrs) Deep familiarity with broadcast and OTT formats: MXF, IMF, DNxHD, ProRes, H.264, HEVC Understanding of proxy workflows in video post-production Experience with digital asset lifecycle: ingest, AI metadata enrichment, media transformation, S3 cloud archiving Hands-on experience working with time-coded metadata (e.g., subtitles, AI tags, shot changes) management in media archives Cloud-Native Architecture (AWS) (3–5 yrs) Strong hands-on experience with ECS, Fargate, Lambda, S3, DynamoDB, Aurora, SQS, EventBridge Experience building serverless or service-based compute models for elastic scaling Familiarity with managing multi-region deployments, failover, and IAM configuration Built cloud-native CI/CD deployment pipelines with event-driven microservices and queue-based workflows Frontend Collaboration & React App Integration (2–3 yrs) Worked closely with React-based frontend teams, especially on desktop-style web applications Familiar with component-based design systems, REST/GraphQL API integration, and optimizing media-heavy UI workflows Able to guide frontend teams on data modeling, caching, and efficient rendering of large asset libraries Experience with Electron for desktop apps How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: MAM, App integration Crop.Photo is Looking for: Technical Lead for Evolphin AI-Driven MAM At Evolphin, we build powerful media asset management solutions used by some of the world’s largest broadcasters, creative agencies, and global brands. Our flagship platform, Zoom, helps teams manage high-volume media workflows—from ingest to archive—with precision, performance, and AI-powered search. We’re now entering a major modernization phase, and we’re looking for an exceptional Technical Lead to own and drive the next-generation database layer powering Evolphin Zoom. This is a rare opportunity to take a critical backend system that serves high-throughput media operations and evolve it to meet the scale, speed, and intelligence today’s content teams demand. What you’ll own Leading the re-architecture of Zoom’s database foundation with a focus on scalability, query performance, and vector-based search support Replacing or refactoring our current in-house object store and metadata database to a modern, high-performance elastic solution Collaborating closely with our core platform engineers and AI/search teams to ensure seamless integration and zero disruption to existing media workflows Designing an extensible system that supports object-style relationships across millions of assets, including LLM-generated digital asset summaries, time-coded video metadata, AI generated tags, and semantic vectors Driving end-to-end implementation: schema design, migration tooling, performance benchmarking, and production rollout—all with aggressive timelines Skills & Experience We Expect We’re looking for candidates with 7–10 years of hands-on engineering experience, including 3+ years in a technical leadership role. Your experience should span the following core areas: System Design & Architecture (3–4 yrs) Strong hands-on experience with the Java/JVM stack (GC tuning), Python in production environments Led system-level design for scalable, modular AWS microservices architectures Designed high-throughput, low-latency media pipelines capable of scaling to billions of media records Familiar with multitenant SaaS patterns, service decomposition, and elastic scale-out/in models Deep understanding of infrastructure observability, failure handling, and graceful degradation Database & Metadata Layer Design (3–5 yrs) Experience redesigning or implementing object-style metadata stores used in MAM/DAM systems Strong grasp of schema-less models for asset relationships, time-coded metadata, and versioned updates Practical experience with DynamoDB, Aurora, PostgreSQL, or similar high-scale databases Comfortable evaluating trade-offs between memory, query latency, and write throughput Semantic Search & Vectors (1–3 yrs) Implemented vector search using systems like Weaviate, Pinecone, Qdrant, or Faiss Able to design hybrid (structured + semantic) search pipelines for similarity and natural language use cases Experience tuning vector indexers for performance, memory footprint, and recall Familiar with the basics of embedding generation pipelines and how they are used for semantic search and similarity-based retrieval Worked with MLOps teams to deploy ML inference services (e.g., FastAPI/Docker + GPU-based EC2 or SageMaker endpoints) Understands the limitations of recognition models (e.g., OCR, face/object detection, logo recognition), even if not directly building them Media Asset Workflow (2–4 yrs) Deep familiarity with broadcast and OTT formats: MXF, IMF, DNxHD, ProRes, H.264, HEVC Understanding of proxy workflows in video post-production Experience with digital asset lifecycle: ingest, AI metadata enrichment, media transformation, S3 cloud archiving Hands-on experience working with time-coded metadata (e.g., subtitles, AI tags, shot changes) management in media archives Cloud-Native Architecture (AWS) (3–5 yrs) Strong hands-on experience with ECS, Fargate, Lambda, S3, DynamoDB, Aurora, SQS, EventBridge Experience building serverless or service-based compute models for elastic scaling Familiarity with managing multi-region deployments, failover, and IAM configuration Built cloud-native CI/CD deployment pipelines with event-driven microservices and queue-based workflows Frontend Collaboration & React App Integration (2–3 yrs) Worked closely with React-based frontend teams, especially on desktop-style web applications Familiar with component-based design systems, REST/GraphQL API integration, and optimizing media-heavy UI workflows Able to guide frontend teams on data modeling, caching, and efficient rendering of large asset libraries Experience with Electron for desktop apps How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Job Title : Full Stack Developer Location: Mohali Punjab. Overview We are seeking a skilled Full Stack Developer to join our dynamic team. The ideal candidate will have a strong foundation in both front-end and back-end technologies, with a passion for building scalable and efficient web applications. This role offers the opportunity to work on diverse projects and contribute to the development of innovative solutions. Key Responsibilities Front-End Development: Design and implement user-friendly interfaces using HTML, CSS, JavaScript, and modern frameworks like React, Angular, or Vue.js. Back-End Development: Develop and maintain server-side logic, databases, and APIs using languages such as Node.js, Python, Java, or Ruby. Database Management: Design and manage relational and NoSQL databases like MySQL, PostgreSQL, or MongoDB, ensuring data integrity and performance. API Integration: Build and integrate RESTful APIs to enable seamless communication between front-end and back-end systems. Version Control: Utilize Git for version control, ensuring collaborative and efficient code management. Testing and Debugging: Conduct thorough testing and debugging to ensure application functionality and performance. Deployment and Maintenance: Oversee the deployment process and provide ongoing maintenance and updates to applications. Collaboration: Work closely with cross-functional teams, including designers, product managers, and other developers, to deliver high-quality software solutions. Qualifications Education: Bachelor's degree in Computer Science, Information Technology, or a related field. Experience: Proven experience as a Full Stack Developer or similar role, with a strong portfolio of web applications. Technical Skills: Proficiency in front-end technologies: HTML, CSS, JavaScript, and frameworks like React, Angular, or Vue.js. Strong back-end development skills with Node.js, Python, Java, or Ruby. Experience with database management systems: MySQL, PostgreSQL, MongoDB. Familiarity with version control systems, particularly Git. Understanding of RESTful API design and integration. Soft Skills: Excellent problem-solving abilities. Strong communication and collaboration skills. Ability to work independently and as part of a team. Attention to detail and a commitment to delivering high-quality code. Preferred Qualifications Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with CI/CD pipelines and DevOps practices. Knowledge of containerization technologies like Docker and Kubernetes. Understanding of Agile development methodologies. Work from Office. Job Type: Full-time Pay: ₹20,000.00 - ₹40,000.00 per month Benefits: Paid sick time Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: MAM, App integration Crop.Photo is Looking for: Technical Lead for Evolphin AI-Driven MAM At Evolphin, we build powerful media asset management solutions used by some of the world’s largest broadcasters, creative agencies, and global brands. Our flagship platform, Zoom, helps teams manage high-volume media workflows—from ingest to archive—with precision, performance, and AI-powered search. We’re now entering a major modernization phase, and we’re looking for an exceptional Technical Lead to own and drive the next-generation database layer powering Evolphin Zoom. This is a rare opportunity to take a critical backend system that serves high-throughput media operations and evolve it to meet the scale, speed, and intelligence today’s content teams demand. What you’ll own Leading the re-architecture of Zoom’s database foundation with a focus on scalability, query performance, and vector-based search support Replacing or refactoring our current in-house object store and metadata database to a modern, high-performance elastic solution Collaborating closely with our core platform engineers and AI/search teams to ensure seamless integration and zero disruption to existing media workflows Designing an extensible system that supports object-style relationships across millions of assets, including LLM-generated digital asset summaries, time-coded video metadata, AI generated tags, and semantic vectors Driving end-to-end implementation: schema design, migration tooling, performance benchmarking, and production rollout—all with aggressive timelines Skills & Experience We Expect We’re looking for candidates with 7–10 years of hands-on engineering experience, including 3+ years in a technical leadership role. Your experience should span the following core areas: System Design & Architecture (3–4 yrs) Strong hands-on experience with the Java/JVM stack (GC tuning), Python in production environments Led system-level design for scalable, modular AWS microservices architectures Designed high-throughput, low-latency media pipelines capable of scaling to billions of media records Familiar with multitenant SaaS patterns, service decomposition, and elastic scale-out/in models Deep understanding of infrastructure observability, failure handling, and graceful degradation Database & Metadata Layer Design (3–5 yrs) Experience redesigning or implementing object-style metadata stores used in MAM/DAM systems Strong grasp of schema-less models for asset relationships, time-coded metadata, and versioned updates Practical experience with DynamoDB, Aurora, PostgreSQL, or similar high-scale databases Comfortable evaluating trade-offs between memory, query latency, and write throughput Semantic Search & Vectors (1–3 yrs) Implemented vector search using systems like Weaviate, Pinecone, Qdrant, or Faiss Able to design hybrid (structured + semantic) search pipelines for similarity and natural language use cases Experience tuning vector indexers for performance, memory footprint, and recall Familiar with the basics of embedding generation pipelines and how they are used for semantic search and similarity-based retrieval Worked with MLOps teams to deploy ML inference services (e.g., FastAPI/Docker + GPU-based EC2 or SageMaker endpoints) Understands the limitations of recognition models (e.g., OCR, face/object detection, logo recognition), even if not directly building them Media Asset Workflow (2–4 yrs) Deep familiarity with broadcast and OTT formats: MXF, IMF, DNxHD, ProRes, H.264, HEVC Understanding of proxy workflows in video post-production Experience with digital asset lifecycle: ingest, AI metadata enrichment, media transformation, S3 cloud archiving Hands-on experience working with time-coded metadata (e.g., subtitles, AI tags, shot changes) management in media archives Cloud-Native Architecture (AWS) (3–5 yrs) Strong hands-on experience with ECS, Fargate, Lambda, S3, DynamoDB, Aurora, SQS, EventBridge Experience building serverless or service-based compute models for elastic scaling Familiarity with managing multi-region deployments, failover, and IAM configuration Built cloud-native CI/CD deployment pipelines with event-driven microservices and queue-based workflows Frontend Collaboration & React App Integration (2–3 yrs) Worked closely with React-based frontend teams, especially on desktop-style web applications Familiar with component-based design systems, REST/GraphQL API integration, and optimizing media-heavy UI workflows Able to guide frontend teams on data modeling, caching, and efficient rendering of large asset libraries Experience with Electron for desktop apps How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: MAM, App integration Crop.Photo is Looking for: Technical Lead for Evolphin AI-Driven MAM At Evolphin, we build powerful media asset management solutions used by some of the world’s largest broadcasters, creative agencies, and global brands. Our flagship platform, Zoom, helps teams manage high-volume media workflows—from ingest to archive—with precision, performance, and AI-powered search. We’re now entering a major modernization phase, and we’re looking for an exceptional Technical Lead to own and drive the next-generation database layer powering Evolphin Zoom. This is a rare opportunity to take a critical backend system that serves high-throughput media operations and evolve it to meet the scale, speed, and intelligence today’s content teams demand. What you’ll own Leading the re-architecture of Zoom’s database foundation with a focus on scalability, query performance, and vector-based search support Replacing or refactoring our current in-house object store and metadata database to a modern, high-performance elastic solution Collaborating closely with our core platform engineers and AI/search teams to ensure seamless integration and zero disruption to existing media workflows Designing an extensible system that supports object-style relationships across millions of assets, including LLM-generated digital asset summaries, time-coded video metadata, AI generated tags, and semantic vectors Driving end-to-end implementation: schema design, migration tooling, performance benchmarking, and production rollout—all with aggressive timelines Skills & Experience We Expect We’re looking for candidates with 7–10 years of hands-on engineering experience, including 3+ years in a technical leadership role. Your experience should span the following core areas: System Design & Architecture (3–4 yrs) Strong hands-on experience with the Java/JVM stack (GC tuning), Python in production environments Led system-level design for scalable, modular AWS microservices architectures Designed high-throughput, low-latency media pipelines capable of scaling to billions of media records Familiar with multitenant SaaS patterns, service decomposition, and elastic scale-out/in models Deep understanding of infrastructure observability, failure handling, and graceful degradation Database & Metadata Layer Design (3–5 yrs) Experience redesigning or implementing object-style metadata stores used in MAM/DAM systems Strong grasp of schema-less models for asset relationships, time-coded metadata, and versioned updates Practical experience with DynamoDB, Aurora, PostgreSQL, or similar high-scale databases Comfortable evaluating trade-offs between memory, query latency, and write throughput Semantic Search & Vectors (1–3 yrs) Implemented vector search using systems like Weaviate, Pinecone, Qdrant, or Faiss Able to design hybrid (structured + semantic) search pipelines for similarity and natural language use cases Experience tuning vector indexers for performance, memory footprint, and recall Familiar with the basics of embedding generation pipelines and how they are used for semantic search and similarity-based retrieval Worked with MLOps teams to deploy ML inference services (e.g., FastAPI/Docker + GPU-based EC2 or SageMaker endpoints) Understands the limitations of recognition models (e.g., OCR, face/object detection, logo recognition), even if not directly building them Media Asset Workflow (2–4 yrs) Deep familiarity with broadcast and OTT formats: MXF, IMF, DNxHD, ProRes, H.264, HEVC Understanding of proxy workflows in video post-production Experience with digital asset lifecycle: ingest, AI metadata enrichment, media transformation, S3 cloud archiving Hands-on experience working with time-coded metadata (e.g., subtitles, AI tags, shot changes) management in media archives Cloud-Native Architecture (AWS) (3–5 yrs) Strong hands-on experience with ECS, Fargate, Lambda, S3, DynamoDB, Aurora, SQS, EventBridge Experience building serverless or service-based compute models for elastic scaling Familiarity with managing multi-region deployments, failover, and IAM configuration Built cloud-native CI/CD deployment pipelines with event-driven microservices and queue-based workflows Frontend Collaboration & React App Integration (2–3 yrs) Worked closely with React-based frontend teams, especially on desktop-style web applications Familiar with component-based design systems, REST/GraphQL API integration, and optimizing media-heavy UI workflows Able to guide frontend teams on data modeling, caching, and efficient rendering of large asset libraries Experience with Electron for desktop apps How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: MAM, App integration Crop.Photo is Looking for: Technical Lead for Evolphin AI-Driven MAM At Evolphin, we build powerful media asset management solutions used by some of the world’s largest broadcasters, creative agencies, and global brands. Our flagship platform, Zoom, helps teams manage high-volume media workflows—from ingest to archive—with precision, performance, and AI-powered search. We’re now entering a major modernization phase, and we’re looking for an exceptional Technical Lead to own and drive the next-generation database layer powering Evolphin Zoom. This is a rare opportunity to take a critical backend system that serves high-throughput media operations and evolve it to meet the scale, speed, and intelligence today’s content teams demand. What you’ll own Leading the re-architecture of Zoom’s database foundation with a focus on scalability, query performance, and vector-based search support Replacing or refactoring our current in-house object store and metadata database to a modern, high-performance elastic solution Collaborating closely with our core platform engineers and AI/search teams to ensure seamless integration and zero disruption to existing media workflows Designing an extensible system that supports object-style relationships across millions of assets, including LLM-generated digital asset summaries, time-coded video metadata, AI generated tags, and semantic vectors Driving end-to-end implementation: schema design, migration tooling, performance benchmarking, and production rollout—all with aggressive timelines Skills & Experience We Expect We’re looking for candidates with 7–10 years of hands-on engineering experience, including 3+ years in a technical leadership role. Your experience should span the following core areas: System Design & Architecture (3–4 yrs) Strong hands-on experience with the Java/JVM stack (GC tuning), Python in production environments Led system-level design for scalable, modular AWS microservices architectures Designed high-throughput, low-latency media pipelines capable of scaling to billions of media records Familiar with multitenant SaaS patterns, service decomposition, and elastic scale-out/in models Deep understanding of infrastructure observability, failure handling, and graceful degradation Database & Metadata Layer Design (3–5 yrs) Experience redesigning or implementing object-style metadata stores used in MAM/DAM systems Strong grasp of schema-less models for asset relationships, time-coded metadata, and versioned updates Practical experience with DynamoDB, Aurora, PostgreSQL, or similar high-scale databases Comfortable evaluating trade-offs between memory, query latency, and write throughput Semantic Search & Vectors (1–3 yrs) Implemented vector search using systems like Weaviate, Pinecone, Qdrant, or Faiss Able to design hybrid (structured + semantic) search pipelines for similarity and natural language use cases Experience tuning vector indexers for performance, memory footprint, and recall Familiar with the basics of embedding generation pipelines and how they are used for semantic search and similarity-based retrieval Worked with MLOps teams to deploy ML inference services (e.g., FastAPI/Docker + GPU-based EC2 or SageMaker endpoints) Understands the limitations of recognition models (e.g., OCR, face/object detection, logo recognition), even if not directly building them Media Asset Workflow (2–4 yrs) Deep familiarity with broadcast and OTT formats: MXF, IMF, DNxHD, ProRes, H.264, HEVC Understanding of proxy workflows in video post-production Experience with digital asset lifecycle: ingest, AI metadata enrichment, media transformation, S3 cloud archiving Hands-on experience working with time-coded metadata (e.g., subtitles, AI tags, shot changes) management in media archives Cloud-Native Architecture (AWS) (3–5 yrs) Strong hands-on experience with ECS, Fargate, Lambda, S3, DynamoDB, Aurora, SQS, EventBridge Experience building serverless or service-based compute models for elastic scaling Familiarity with managing multi-region deployments, failover, and IAM configuration Built cloud-native CI/CD deployment pipelines with event-driven microservices and queue-based workflows Frontend Collaboration & React App Integration (2–3 yrs) Worked closely with React-based frontend teams, especially on desktop-style web applications Familiar with component-based design systems, REST/GraphQL API integration, and optimizing media-heavy UI workflows Able to guide frontend teams on data modeling, caching, and efficient rendering of large asset libraries Experience with Electron for desktop apps How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: MAM, App integration Crop.Photo is Looking for: Technical Lead for Evolphin AI-Driven MAM At Evolphin, we build powerful media asset management solutions used by some of the world’s largest broadcasters, creative agencies, and global brands. Our flagship platform, Zoom, helps teams manage high-volume media workflows—from ingest to archive—with precision, performance, and AI-powered search. We’re now entering a major modernization phase, and we’re looking for an exceptional Technical Lead to own and drive the next-generation database layer powering Evolphin Zoom. This is a rare opportunity to take a critical backend system that serves high-throughput media operations and evolve it to meet the scale, speed, and intelligence today’s content teams demand. What you’ll own Leading the re-architecture of Zoom’s database foundation with a focus on scalability, query performance, and vector-based search support Replacing or refactoring our current in-house object store and metadata database to a modern, high-performance elastic solution Collaborating closely with our core platform engineers and AI/search teams to ensure seamless integration and zero disruption to existing media workflows Designing an extensible system that supports object-style relationships across millions of assets, including LLM-generated digital asset summaries, time-coded video metadata, AI generated tags, and semantic vectors Driving end-to-end implementation: schema design, migration tooling, performance benchmarking, and production rollout—all with aggressive timelines Skills & Experience We Expect We’re looking for candidates with 7–10 years of hands-on engineering experience, including 3+ years in a technical leadership role. Your experience should span the following core areas: System Design & Architecture (3–4 yrs) Strong hands-on experience with the Java/JVM stack (GC tuning), Python in production environments Led system-level design for scalable, modular AWS microservices architectures Designed high-throughput, low-latency media pipelines capable of scaling to billions of media records Familiar with multitenant SaaS patterns, service decomposition, and elastic scale-out/in models Deep understanding of infrastructure observability, failure handling, and graceful degradation Database & Metadata Layer Design (3–5 yrs) Experience redesigning or implementing object-style metadata stores used in MAM/DAM systems Strong grasp of schema-less models for asset relationships, time-coded metadata, and versioned updates Practical experience with DynamoDB, Aurora, PostgreSQL, or similar high-scale databases Comfortable evaluating trade-offs between memory, query latency, and write throughput Semantic Search & Vectors (1–3 yrs) Implemented vector search using systems like Weaviate, Pinecone, Qdrant, or Faiss Able to design hybrid (structured + semantic) search pipelines for similarity and natural language use cases Experience tuning vector indexers for performance, memory footprint, and recall Familiar with the basics of embedding generation pipelines and how they are used for semantic search and similarity-based retrieval Worked with MLOps teams to deploy ML inference services (e.g., FastAPI/Docker + GPU-based EC2 or SageMaker endpoints) Understands the limitations of recognition models (e.g., OCR, face/object detection, logo recognition), even if not directly building them Media Asset Workflow (2–4 yrs) Deep familiarity with broadcast and OTT formats: MXF, IMF, DNxHD, ProRes, H.264, HEVC Understanding of proxy workflows in video post-production Experience with digital asset lifecycle: ingest, AI metadata enrichment, media transformation, S3 cloud archiving Hands-on experience working with time-coded metadata (e.g., subtitles, AI tags, shot changes) management in media archives Cloud-Native Architecture (AWS) (3–5 yrs) Strong hands-on experience with ECS, Fargate, Lambda, S3, DynamoDB, Aurora, SQS, EventBridge Experience building serverless or service-based compute models for elastic scaling Familiarity with managing multi-region deployments, failover, and IAM configuration Built cloud-native CI/CD deployment pipelines with event-driven microservices and queue-based workflows Frontend Collaboration & React App Integration (2–3 yrs) Worked closely with React-based frontend teams, especially on desktop-style web applications Familiar with component-based design systems, REST/GraphQL API integration, and optimizing media-heavy UI workflows Able to guide frontend teams on data modeling, caching, and efficient rendering of large asset libraries Experience with Electron for desktop apps How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

About The Opportunity We operate at the forefront of India’s Artificial Intelligence & Enterprise Software Solutions sector, building production-grade, large-language-model (LLM) applications that power real-time search, recommendation, and decision-support systems for Fortune-500 clients. Our fully remote engineering pods in Mumbai and Pune transform cutting-edge GenAI research into scalable business value while nurturing a culture of ownership, learning, and rapid iteration. Role & Responsibilities Design and ship GenAI products that fuse Retrieval-Augmented Generation (RAG) with LangChain/LangGraph pipelines for chatbots, semantic search, and agentic workflows. Implement vector-based retrieval by orchestrating FAISS-backed indexes, chunking strategies, and prompt-engineering playbooks that boost LLM precision and recall. Prototype and harden ML models (classification, regression, clustering) in Scikit-learn or PyTorch, then productionise via micro-checkpointing (MCP) and CI/CD. Instrument agentic behaviours that call external tools/APIs, manage memory, and evaluate reasoning traces for safety and ROI. Collaborate cross-functionally with product, design, and MLOps to translate business stories into measurable AI metrics and A/B experiments. Author technical docs & knowledge share to uplevel team expertise in GenAI best practices and responsible-AI compliance. Skills & Qualifications Must-Have 3–7 yrs hands-on experience building LLM-powered applications with LangChain and/or LangGraph. Proven mastery of FAISS (or Pinecone/Weaviate) for vector search, plus solid understanding of embeddings and cosine-similarity maths. Strong foundation in machine-learning algorithms—classification, regression, and model evaluation—with production code in Scikit-learn or equivalent. Ability to craft, debug, and optimise prompt engineering & chunking strategies that minimise token cost while maximising answer quality. Fluency in Python; familiarity with software-engineering best practices (Git, unit tests, Docker, MCP-style model checkpoints). Excellent written and verbal communication skills to explain complex GenAI concepts to technical and non-technical stakeholders. Preferred Experience designing agentic frameworks (tool-calling, planning-&-execution loops, reflection) for autonomous task chains. Prior contribution to open-source GenAI libraries or research publications. Exposure to data-pipeline tooling such as Airflow, Spark, or cloud-agnostic serverless runtimes. Skills: GenAI,LangChain,LLM,LangGraph,FAISS,MCP,Agentic,Machine Learning,Classification,Regression,ScikitLearn Show more Show less