The Tech Lead will own key initiatives to develop & scale products, institute best engineering practices and deliver innovative products. The idea is to have a scalable and robust platform that improves user and revenue growth and enhances customer experience. Key Responsibilities Drive new features and improve the performance of existing products Define architectural standards and processes Drive performance analysis and optimization efforts Help set and fulfill the engineering hiring plan for the team including sourcing, screening, and interviewing Work with teams across Salarybox to ensure a seamless user experience Keep abreast of the changes in the industry and champion new technologies and development processes within the team What Should You Have Experience in building systems from scratch Should appreciate good application design and contribute to improving the overall architecture. Should have experience in scaling backend services. Building a high availability system without a single point of failure. Experience in optimizing applications for low latency. Strong fundamentals and real-world application of Data Structures, Algorithms, Design Patterns, and Problem Solving 5-8 years of experience at cutting-edge organizations or start-ups About The Firm It’s a fantastic time to be joining SalaryBox as we continue to transform attendance and payroll for over 60 million MSME’s in India. We launched the app in Jan 2021, and now have more than 1 million downloads on the playstore. We support more than 200k businesses and operate at scale. Backed by Y-Combinator, SalaryBox is India’s leading attendance and payroll app. Considered to be the engine of economies around the world, the MSME segment in India alone has ~63 million units, and employs ~100 million people. The sector accounts for 27% of GDP and is crucial to the functioning of the economy. We are on a mission to make work easier for these business owners, managers, and employees to focus on the best things they do. Today, SalaryBox is a fun bunch of analytical and ambitious folks building first-of-its-kind technologies for the MSME ecosystem. We are here to enhance the employee experience of over 10 million end consumers in the next twelve months. Our mission is big, so we act with urgency in everything we do. We find creative ways to test ideas and learn today so that we focus on the right things tomorrow. And we are just getting started! Website : https://www.salarybox.in/ LinkedIn : https://www.linkedin.com/company/salaryboxapp Show more Show less

Position Title : AI/ML Engineer. Company : Cyfuture India Pvt.Ltd. Industry : IT Services and IT Consulting. Location : Sector 81, NSEZ, Noida (5 Days Work From Office). About Cyfuture Cyfuture is a trusted name in IT services and cloud infrastructure, offering state-of-the-art data center solutions and managed services across platforms like AWS, Azure, and VMWare. We are expanding rapidly in system integration and managed services, building strong alliances with global OEMs like VMWare, AWS, Azure, HP, Dell, Lenovo, and Palo Alto. Position Overview We are hiring an experienced AI/ML Engineer to lead and shape our AI/ML initiatives. The ideal candidate will have hands-on experience in machine learning and artificial intelligence, with strong leadership capabilities and a passion for delivering production-ready solutions. This role involves end-to-end ownership of AI/ML projects, from strategy development to deployment and optimization of large-scale systems. Key Responsibilities Lead and mentor a high-performing AI/ML team. Design and execute AI/ML strategies aligned with business goals. Collaborate with product and engineering teams to identify impactful AI opportunities. Build, train, fine-tune, and deploy ML models in production environments. Manage operations of LLMs and other AI models using modern cloud and MLOps tools. Implement scalable and automated ML pipelines (e., with Kubeflow or MLRun). Handle containerization and orchestration using Docker and Kubernetes. Optimize GPU/TPU resources for training and inference tasks. Develop efficient RAG pipelines with low latency and high retrieval accuracy. Automate CI/CD workflows for continuous integration and delivery of ML systems. Key Skills & Expertise Cloud Computing & Deployment : Proficiency in AWS, Google Cloud, or Azure for scalable model deployment. Familiarity with cloud-native services like AWS SageMaker, Google Vertex AI, or Azure ML. Expertise in Docker and Kubernetes for containerized deployments. Experience with Infrastructure as Code (IaC) using tools like Terraform or CloudFormation. Machine Learning & Deep Learning Strong command of frameworks : TensorFlow, PyTorch, Scikit-learn, XGBoost. Experience with MLOps tools for integration, monitoring, and automation. Expertise in pre-trained models, transfer learning, and designing custom architectures. Programming & Software Engineering Strong skills in Python (NumPy, Pandas, Matplotlib, SciPy) for ML development. Backend/API development with FastAPI, Flask, or Django. Database handling with SQL and NoSQL (PostgreSQL, MongoDB, BigQuery). Familiarity with CI/CD pipelines (GitHub Actions, Jenkins). Scalable AI Systems Proven ability to build AI-driven applications at scale. Handle large datasets, high-throughput requests, and real-time inference. Knowledge of distributed computing : Apache Spark, Dask, Ray. Model Monitoring & Optimization Hands-on with model compression, quantization, and pruning. A/B testing and performance tracking in production. Knowledge of model retraining pipelines for continuous learning. Resource Optimization Efficient use of compute resources : GPUs, TPUs, CPUs. Experience with serverless architectures to reduce cost. Auto-scaling and load balancing for high-traffic systems. Problem-Solving & Collaboration Translate complex ML models into user-friendly applications. Work effectively with data scientists, engineers, and product teams. Write clear technical documentation and architecture reports. (ref:hirist.tech) Show more Show less

Hiring: Generative AI Senior Developer Location : Gurgaon (Hybrid Mode) Experience : 610 Years (Min. 2+ years in GenAI) Key Responsibilities Design, develop, and optimize Generative AI models using LLMs (e.g., GPT, LLaMA, PaLM, Claude) and diffusion models. Build scalable training and deployment pipelines for custom foundation models and fine-tune existing LLMs on domain-specific datasets. Collaborate cross-functionally with product managers, data scientists, and engineering teams to integrate GenAI into real-world applications. Implement prompt engineering and retrieval-augmented generation (RAG) techniques to improve output quality and relevance. Develop and maintain APIs, tools, and SDKs to enable GenAI-driven features across products. Stay updated with the latest in AI research and translate cutting-edge advancements into production-ready solutions. Ensure responsible and ethical AI usage, actively mitigating model biases and risks. Continuously optimize performance, latency, and scalability of deployed AI services. Required Skills & Experience 6 to 10 years of experience in AI/ML development, including 2+ years in Generative AI. Proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow. Strong knowledge of NLP, transformers, embeddings, and attention mechanisms. Hands-on experience with tools like Hugging Face Transformers, LangChain, and OpenAI APIs. Practical exposure to vector databases (e.g., FAISS, Pinecone, Weaviate). Experience in building and deploying LLM-powered applications, such as intelligent chatbots or content generators. Familiarity with MLOps practices, including model versioning and deployment tools (Docker, Kubernetes, MLflow). Experience with cloud platforms: AWS, Azure, or GCP. Preferred Qualifications Masters or Ph.D. in Computer Science, AI/ML, Data Science, or related field. Publications or active contributions to AI research communities (e.g., NeurIPS, ICML, arXiv). Experience working with multi-modal models (text + image/audio). Knowledge of Responsible AI, hallucination mitigation, and bias detection (ref:hirist.tech) Show more Show less

About Loti AI, Inc Loti is a technology company that provides online protection for public figures such as major artists, athletes, executives, and creators. We specialize in identifying and removing infringing content and accounts, managing licenses, and ensuring brand protection in the era of generative AI. Our services include fake account detection, deepfake identification, and automated takedown engines. Loti AI, Inc. is seeking a highly skilled and motivated Staff Platform Engineer to provide technical leadership in the architecture, development, and scaling of our mission-critical, API-based large-scale transaction processing systems. You will be instrumental in shaping the future of our platform, ensuring its reliability, performance, and scalability to handle massive transaction volumes. You will also mentor and guide other engineers, fostering a culture of technical excellence. Key Responsibilities Lead the design and development of scalable, high-performance, and resilient API-driven platform components and architectures that support our large-scale data processing needs, handling 100,000+ concurrent requests. Provide technical leadership and mentorship to a team of engineers, setting standards for best practices in platform engineering, API design, and transaction processing. Oversee the design, implementation, and management of our core APIs and underlying transaction processing systems, ensuring data integrity, security, and compliance. Work closely with product managers, architects, and other engineering teams to understand business requirements and translate them into robust and scalable platform solutions and APIs. Continuously optimize platform components, APIs, and transaction processing pipelines for performance, scalability, low latency, and cost-efficiency. Stay up-to-date with the latest trends and technologies in distributed systems, API design, databases, and transaction management, and drive innovation within the team. Tackle complex challenges related to high-volume transaction processing, data consistency, fault tolerance, and the integration of various system components through APIs. Qualifications 8+ years of experience in software or platform engineering with a strong focus on building and operating large-scale, high-throughput systems, including significant experience with API development. At least 3 years in a leadership or senior role, demonstrating a track record of tackling complex technical challenges. Deep understanding of distributed systems principles, concurrency control, data consistency models, and fault tolerance. Strong proficiency in API design principles, RESTful services, and experience with relevant protocols and data formats. Experience with relational and/or NoSQL databases in transactional contexts is essential. Strong experience with cloud platforms (AWS preferred) and cloud-native technologies relevant to building scalable and resilient platforms and APIs Advanced knowledge of one or more major programming languages such as Go, C++, or Python, with a focus on building performant and reliable backend systems and APIs. Proven ability to lead and mentor a team, manage complex technical projects, and collaborate effectively with cross-functional teams. Strong analytical abilities with a data-driven approach to problem identification and resolution in large-scale distributed systems and API design. Experience identifying and resolving performance bottlenecks under high load is critical. Excellent communication skills, with the ability to articulate complex technical concepts clearly and concisely to both technical and non-technical stakeholders. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Show more Show less

About The Job Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities: Assisting the teams in running the Beginning and End of the day activities for Tower’s India trading operations which includes Running the Risk Monitoring System at the start of day Making sure that all the required files are downloaded, the exchange applications are connected and running before the market start Deposit Updates Liaising with Exchanges and service vendors for troubleshooting of any issues Preparing of data for exchange audits, working on month end activities Supporting clearing and settlement processes across multiple asset classes for India Markets which includes Running the Back Office system Generation of the EOD reports Daily reconciliation of trades and positions, and make sure that the breaks are resolved before the market opens. Owning and resolving specific inquiries from the stakeholders and ensure timely resolution Completing of daily BAU task in timely manner Qualifications: A degree in Finance, Economics, or other related fields Aptitude and desire to learn new things Great analytical and communication skills High level MS Excel knowledge is a must: Comfortable with Look-ups, Pivot Tables, and Conditional Statements A masters in Finance would be an added advantage Benefits: Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world. At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win. Our benefits include: Generous paid time off policies Savings plans and other financial wellness tools available in each region Hybrid working opportunities Free breakfast, lunch and snacks daily In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more) Volunteer opportunities and charitable giving Social events, happy hours, treats and celebrations throughout the year Workshops and continuous learning opportunities At Tower, you’ll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work – together. Tower Research Capital is an equal opportunity employer. Show more Show less

Join us as a Principal Engineer This is an exciting and challenging opportunity to work in a collaborative, agile and forward thinking team environment With your software development background, you’ll be delivering software components to enable the delivery of platforms, applications and services for the bank As well as developing your technical talents, you'll have the opportunity to build project and leadership skills which will open up a range of exciting career options We're offering this role at vice president level What you'll do As a Principal Engineer, you’ll be driving development software and tools to accomplish project and departmental objectives by converting functional and non-functional requirements into suitable designs. You’ll play a leading role in planning, developing and deploying high performance robust and resilient systems for the bank, and will develop your leadership skills as you manage the technical delivery of one or more software engineering teams. You’ll also gain a distinguished leadership status in the software engineering community as you lead the wider participation in internal and industry wide events, conferences and other activities. You’ll Also Be Designing and developing high performance and high availability applications, using proven frameworks and technologies Making sure that the bank’s systems follow excellent architectural and engineering principles, and are fit for purpose Monitoring the technical progress against plans while safeguarding functionality, scalability and performance, and providing progress updates to stakeholders Designing and developing reusable libraries and APIs for use across the bank Writing unit and integration tests within automated test environments to ensure code quality The skills you'll need You’ll need at least 12 years of experience in software engineering, software or database design and architecture, as well as significant experience in delivering solutions for eFI Trading system. Along with development experience in large scale, high volume, multi-threaded and highly distributed systems, you’ll bring an excellent understanding of implementing programming best practice, especially around scalability, availability and performance. You’ll Also Need Experience in backend development in ultra-low latency sensitive application Experience in Java, Multithreading, Concurrency packages and REST services Experience of test-driven development and using automated test frameworks, mocking and stubbing and unit testing tools Understanding of Java coding best practices, data structures, algorithms and design Patterns Experience of supporting, modifying and maintaining systems and code developed by teams other than your own Show more Show less

Join us as a Site Reliability Engineer In this key role, you’ll support the improvement of non-functional and operational characteristics such as availability, performance, efficiency, change management, monitoring, security, incident response, and capacity planning of our products and services You’ll enjoy significant stakeholder interaction, working in collaboration with engineers to ensure a principled approach to deliver change in a safe and secure way This is a chance to join an inclusive team with a collaborative ethos and a commitment to innovation and professional development We're offering this role at associate level What you'll do As our Site Reliability Engineer, you’ll work alongside colleagues and feature team members to meet defined service level objectives and continually improve systems and environments. You’ll proactively contribute new ideas and innovations to meet short term and longer term goals whilst at the same time balancing and managing risk. You’ll also be accountable for the day-to-day health of both production and non-production environments, responding to incidents as required. A Typical Day Will Involve Providing structure and supporting release processes, suggesting and making improvements where possible Supporting the clear communication and frequent update of incident status to other teams and customers Providing technical expertise and input to establish the risk tolerance of products and services Supporting the maintenance of services once they are live by measuring and monitoring availability, latency, and overall system health The skills you'll need We’re looking for someone with strong knowledge of reliability systems thinking and experience of software engineering. You’ll need experience of using a data driven and scientific approach to fact finding. We’ll also look for financial services knowledge, and the ability to identify wider business impact, risk and opportunity, and make connections across key outputs and processes. You'll Also Need Good knowledge and experience of programming languages Strong knowledge of deploy and release services, automation, and troubleshooting At least seven years of experience in production support focussing on microservice architecture Experience of utilising tools and technology across the software development lifecycle Strong communication skills with the ability to proactively engage with a wide range of stakeholders Show more Show less

This job is with Entain, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Ivy is a global, cutting-edge software and support services provider, partnering with one of the world’s biggest online gaming and entertainment groups. Founded in 2001, we’ve grown from a small tech company in Hyderabad to one creating innovative software solutions used by millions of consumers around the world, with billions of transactions taking place to head even some of the biggest technology giants. Focused on quality at scale, we deliver excellence to our customers day in and day out, with everyone working together to make what sometimes feels impossible, possible. This means that not only do you get to work for a dynamic organization delivering pioneering technology, gaming and business solutions, you can also have an exciting and entertaining career. At Ivy, Bright Minds Shine Brighter. As a Software Development Engineer, you will design, develop, deploy, and maintain software features for both Backend and Frontend domains. Reporting to the Engineering Manager, you'll be part of the Product & Tech Team, handling the full Software Development Lifecycle (SDLC) with a focus on middle-complexity software components. To succeed in this role you will need to be a skilled developer with a strong foundation in Java and software design principles, capable of handling complex tasks, contributing to a collaborative team environment, and continuously seeking to improve processes and code quality. Are you ready to be a part of our journey delivering excellence and collaborating with one of the world's biggest online gaming and entertainment groups? What You Will Do Develop and deliver well-defined, moderately complex features as per specifications. Debug and resolve issues across development, testing, and production environments. Design and implement new features and bug fixes. Write clean, scalable, and reusable code, adhering to best practices. Participate in team meetings, contribute to feature delivery, and support onboarding of junior team members. Act as the initial on-call responder and maintain awareness of the entire story lifecycle. Mentor Level 1 team members and engage in the RFC process. Qualifications Expertise in Java, with knowledge of modern language features and frameworks. Advanced problem-solving skills in distributed architectures. Proficiency in object-oriented design, design patterns, and software development principles. Experience with high-performance, low-latency, scalable applications. Strong skills in algorithms, data structures, and database concepts (SQL). Ability to integrate APIs and use tools like Swagger for documentation. Familiarity with Agile Development principles and continuous improvement practices. Competence in debugging, version control, and software testing. Knowledge of secure coding practices and CI/CD automation. Intermediate experience in CI/CD automation and orchestration. Skills in scripting and process automation. Additional Information At Ivy, we know that signing top players requires a great starting package, and plenty of support to inspire peak performance. Join us, and a competitive salary is just the beginning. Depending on your role and location, you can expect to receive benefits like: Safe home pickup and home drop (Hyderabad Office Only) Group Mediclaim policy Group Critical Illness policy Communication & Relocation allowance Annual Health check And outside of this, you’ll have the chance to turn recognition from leaders and colleagues into amazing prizes. Join a winning team of talented people and be a part of an inclusive and supporting community where everyone is celebrated for being themselves. Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us. At ivy, we do what’s right. It’s one of our core values and that’s why we're taking the lead when it comes to creating a diverse, equitable and inclusive future - for our people, and the wider global sports betting and gaming sector. However you identify, across any protected characteristic, our ambition is to ensure our people across the globe feel valued, respected and their individuality celebrated. We comply with all applicable recruitment regulations and employment laws in the jurisdictions where we operate, ensuring ethical and compliant hiring practices globally. Show more Show less

Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About The Job As a member of our AI model team, you will drive innovation in model serving and inference architectures for advanced AI systems. Your work will focus on optimizing model deployment and inference strategies to deliver highly responsive, efficient, and scalable performance across real-world applications. You will work on a wide spectrum of systems, ranging from resource-efficient models designed for limited hardware environments to complex, multi-modal architectures that integrate data such as text, images, and audio. We expect you to have deep expertise in designing and optimizing model serving pipelines and inference frameworks as well as a strong background in advanced model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel serving strategies and inference algorithms. Your responsibilities include engineering robust inference pipelines, establishing comprehensive performance metrics, and identifying and resolving bottlenecks in production environments. The ultimate goal is to enable high-throughput, low-latency, low-memory footprint, and scalable AI performance that delivers tangible value in dynamic, real-world scenarios. Responsibilities: Design and deploy state-of-the-art model serving architectures that deliver high throughput and low latency while optimizing memory usage. Ensure these pipelines run efficiently across diverse environments, including resource-constrained devices and edge platforms. Establish clear performance targets such as reduced latency, improved token response, and minimized memory footprint. Build, run, and monitor controlled inference tests in both simulated and live production environments. Track key performance indicators such as response latency, throughput, memory consumption, and error rates, with special attention to metrics specific to resource-constrained devices. Document iterative results and compare outcomes against established benchmarks to validate performance across platforms. Identify and prepare high-quality test datasets and simulation scenarios tailored to real-world deployment challenges, specifically those encountered on low-resource devices. Set measurable criteria to ensure that these resources effectively evaluate model performance, latency, and memory utilization under various operational conditions. Analyze computational efficiency and diagnose bottlenecks in the serving pipeline by monitoring both processing and memory metrics. Address issues such as suboptimal batch processing, network delays, and high memory usage to optimize the serving infrastructure for scalability and reliability on resource-constrained systems. Work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines designed for edge and on-device applications. Define clear success metrics such as improved real-world performance, low error rates, robust scalability, optimal memory usage and ensure continuous monitoring and iterative refinements for sustained improvements. A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Proven experience in large-scale model serving and inference optimization is essential. Your contributions should have led to measurable improvements in inference latency, throughput, and memory footprint for domain-specific applications, particularly on resource-constrained devices and edge platforms. A deep understanding of modern model serving architectures and inference optimization techniques is required. This includes state-of-the-art methods for achieving low-latency, high-throughput performance, and efficient memory management in diverse, resource-constrained deployment scenarios. Must have strong expertise in one or more of the following: C/C++, Triton, ThunderKittens, or native CUDA, as well as a deep understanding of model serving frameworks and engines. Practical experience in developing and deploying end-to-end inference pipelines, from optimizing models for efficient serving to integrating these solutions on resource-constrained devices is required. Demonstrated ability to apply empirical research to overcome challenges in model serving, such as latency optimization, computational bottlenecks, and memory constraints. You should be proficient in designing robust evaluation frameworks and iterating on optimization strategies to continuously push the boundaries of inference performance and system efficiency. Show more Show less

At Momenta, we're committed to creating a safer digital world by protecting individuals and businesses from voice-based fraud and scams. Through innovative AI technology and community collaboration, we're building a future where communication is secure and trustworthy. The Role Key Responsibilities Design and Deliver Core Detection Pipeline Lead the development of a robust, modular deepfake detection pipeline capable of ingesting, processing, and classifying real-time audio streams with high accuracy and low latency. Architect the system to operate under telecom-grade conditions with configurable interfaces and scalable deployment strategies. Model Strategy, Development, and Optimization Own the experimentation and refinement of state-of-the-art deep learning models for voice fraud detection. Evaluate multiple model families, benchmark performance across datasets, and strategically select or ensemble models that balance precision, robustness, and compute efficiency for real-world deployment. Latency-Conscious Production Readiness Ensure the entire detection stack meets strict performance targets, including sub-20ms inference latency. Apply industry best practices in model compression, preprocessing optimization, and system-level integration to support high-throughput inference on both CPU and GPU environments. Evaluation Framework and Continuous Testing Design and implement a comprehensive evaluation suite to validate model accuracy, false positive rates, and environmental robustness. Conduct rigorous testing across domains, including cross-corpus validation, telephony channel effects, adversarial scenarios, and environmental noise conditions. Deployment Engineering and API Integration Deliver a fully containerized, production-ready inference service with REST/gRPC endpoints. Build CI/CD pipelines, integration tests, and monitoring hooks to ensure system integrity, traceability, and ease of deployment across environments. Ideal Profile Technical Skills ML Frameworks: PyTorch, TensorFlow, ONNX, OpenVINO, TorchScript Audio Libraries: Librosa, Torchaudio, FFmpeg Model Development: CNNs, Transformers, Wav2Vec/WavLM, AASIST, RawNet Signal Processing: VAD, noise reduction, band-pass filtering, codec simulation Optimization: Quantization, pruning, GPU acceleration DevOps: Git, Docker, CI/CD, FastAPI or Flask, REST/gRPC Preferred Experience Prior work on audio deepfake detection or telephony speech processing Experience with real-time ML model deployment Understanding of adversarial robustness and domain adaptation Familiarity with call center environments or telecom-grade constraints What's on Offer? Excellent career development opportunities Leadership Role Opportunity to make a positive impact Show more Show less

Required Qualifications 8+ years of experience as a Software Engineer/Developer using Java 17, Spring, Springboot, microservices, design patterns, PL/SQL, kubernetes 8+ years of experience with software engineering best practices (Junit testing, automation, design patterns, peer review, etc.). Clear understanding of Data Structures and Object Oriented Principles using Java 17 8+ years of experience on Service Oriented and MicroServices architectures, including REST and GraphQL implementations Exposure to Cloud-native development and Container Orchestration tools (Serverless, Docker, Kubernetes, OpenShift, etc.) 8+ years of experience with frameworks like Spring Boot. Exposure to Continuous Integration and Continuous Delivery (CI/CD) pipelines, either on-premise or public cloud (i.e., Tekton, Harness, Jenkins, etc.). Multiple years of experience with agile and iterative software delivery (SCRUM, Kanban) Exposure to Database technologies (RDBMS, Oracle, Mongo) Exposure to event-driven design and architecture (i.e., Kafka, RabbitMQ, etc.) B.Tech/B.Engg degree or equivalent work experience Preferred Qualifications Exposure to architecture experience in building horizontally scalable, highly available, highly resilient, and low latency applications. Exposure to Cloud infrastructure both on-premise and public cloud (i.e., OpenShift, AWS, etc.). Exposure to API Management tools Exposure to Infrastructure as Code tools (i.e., Terraform, Cloudformation, etc.) Exposure to Security, Observability, and Monitoring (i.e., Grafana Prometheus, Splunk, ELK, CloudWatch, etc.) Experience mentoring junior developers Exposure to database concepts (RDBMS, NoSQL) and web-based technologies (Angular/React) is a plus ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

Job Description The Role We are looking for talented UI engineers who are passionate about building high quality, modern, front-end solutions that solve complex business problems via innovation and the application of engineering best practices. This role will be responsible for hands-on development of front-end code, working as part of an agile scrum team, and partnering with UX and other engineering specialists to build digital products of the highest standard. Responsibilities Contribute to the development of world-class enterprise applications leveraging the latest technologies and software design patterns Develop and engineer front end solutions within an Agile software delivery team, working to collaboratively deliver sprint goals, write code, and participate in the broader Citi technical community and team-level Agile and Scrum processes Apply knowledge and expertise to all aspects of the software development lifecycle, ensuring software is built to the highest standards Partner with stakeholders, UX and QA on a regular basis Grow and develop subject matter expertise for the relevant area of business Provide support and assistance for new joiners and junior team members Follow and contribute to technical and team standards and practices Collaborate with technical leadership to ensure work is aligned to the broad technical strategy Required Qualifications 8-13 years as a Software Engineer/Developer using modern front-end technologies (Angular, React, Vue, Next, etc.) Experience using modern build tools for front-end solutions (npm, yarn, gulp etc.) Exposure to test strategies and frameworks for UIs (jasmine, karma etc.) Clear understanding of software engineering best practices (unit testing, automation, design patterns etc.) Bachelor's degree in engineering, computer science, computer engineering, or equivalent work experience Preferred Qualifications Exposure to Service Oriented and MicroServices architectures, including REST and GraphQL implementations Exposure to building horizontally scalable, highly available, highly resilient, and low latency applications Exposure to Cloud infrastructure both on-premises and public cloud (i.e., OpenShift, AWS, etc.) Exposure to Cloud-native development and Container Orchestration tools (Serverless, Docker, Kubernetes, OpenShift, etc.) Exposure to API Management tools Exposure to event-driven design and architecture (Kafka, Spark Flink, etc.) Exposure to Continuous Integration and Continuous Delivery (CI/CD) pipelines, either on-premise or public cloud (i.e., Tekton, Harness, CircleCI, Cloudbees Jenkins, etc.) Exposure to using Infrastructure as Code tools (Terraform, Cloudformation, etc.) Exposure to Security, Observability, and Monitoring tools (Grafana Prometheus, Splunk, ELK, CloudWatch, etc.) Exposure to agile and iterative software delivery Exposure to database concepts (RDBMS, NoSQL) ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

Job Title: Senior Software Engineer / Team Lead (React & React Native) Experience Level: 5+ Years We are looking for a Senior Software Engineer / Team Lead with extensive experience in React and React Native to join our dynamic team. The ideal candidate will have strong technical expertise, leadership skills, and a passion for performance optimization, best coding practices, and scalable architecture. As a Team Lead, you will mentor junior developers, drive best practices, and collaborate closely with cross-functional teams to deliver high-quality applications. Key Responsibilities Technical Leadership & Development Lead the development of web and mobile applications using React.js and React Native. Architect and implement scalable, maintainable, and high-performance front-end solutions. Ensure optimal application performance by implementing best practices in code efficiency, lazy loading, tree shaking, and asset optimization. Optimize React components and virtualized lists for performance improvements. Apply efficient state management techniques to ensure application responsiveness. Improve app startup time and rendering performance by implementing techniques. Follow and enforce best practices in JavaScript, TypeScript, and React coding patterns. Code Quality & Best Practices Write clean, modular, and reusable code following SOLID principles and design patterns. Conduct and enforce thorough code reviews, ensuring adherence to coding standards, performance optimization, and security best practices. Implement automated testing (unit, integration, and end-to-end) using Jest, React Testing Library, and Detox. Ensure adherence to CI/CD pipelines, automated builds, and deployment strategies. Maintain and enforce documentation, linting, and static code analysis tools (ESLint, Prettier, SonarQube). Performance Optimization & Debugging Optimize app bundle size and load times using Webpack, Babel, and Metro Bundler. Utilize Flipper, React DevTools, and Chrome Performance Profiler for debugging and optimizing React Native performance. Enhance app responsiveness and reduce latency using efficient API calls, caching strategies, and request batching. Optimize animations using React Native Reanimated and interaction manager for smoother UI experiences. Improve memory usage and prevent memory leaks by following best practices in component lifecycle management. Mentorship & Team Collaboration Mentor and guide junior developers, fostering a culture of continuous learning and improvement. Collaborate with UI/UX designers to ensure pixel-perfect, high-performance applications. Work closely with backend engineers to optimize API calls and reduce response times. Lead Agile/Scrum processes, including sprint planning, standups, and retrospectives. Required Skills & Qualifications ✅ 5+ years of hands-on experience with React.js and React Native. ✅ Strong understanding of JavaScript (ES6+), TypeScript, Redux, and modern front-end architectures. ✅ Expertise in performance optimization techniques in React & React Native. ✅ Proficiency in RESTful APIs, third-party integrations. ✅ Hands-on experience with profiling tools and debugging performance bottlenecks. ✅ Experience with state management libraries like Redux ✅ Familiarity with testing frameworks (Jest, React Testing Library, Detox, etc.). ✅ Strong problem-solving skills and ability to debug complex applications efficiently. ✅ Experience leading teams, conducting code reviews, and mentoring developers. Preferred Qualifications Familiarity with cloud services (AWS, Firebase, Azure) and serverless architectures. Exposure to progressive web apps (PWAs) and cross-platform optimizations. Knowledge of DevOps practices, CI/CD pipelines, and automated deployment. Show more Show less

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. This position requires expertise in designing, developing, debugging, and maintaining AI-powered applications and data engineering workflows for both local and cloud environments. The role involves working on large-scale projects, optimizing AI/ML pipelines, and ensuring scalable data infrastructure. As a PMTS, you will be responsible for integrating Generative AI (GenAI) capabilities, building data pipelines for AI model training, and deploying scalable AI-powered microservices. You will collaborate with AI/ML, Data Engineering, DevOps, and Product teams to deliver impactful solutions that enhance our products and services. Additionally, it would be desirable if the candidate has experience in retrieval-augmented generation (RAG), fine-tuning pre-trained LLMs, AI model evaluation, data pipeline automation, and optimizing cloud-based AI deployments. Responsibilities AI-Powered Software Development & API Integration Develop AI-driven applications, microservices, and automation workflows using FastAPI, Flask, or Django, ensuring cloud-native deployment and performance optimization. Integrate OpenAI APIs (GPT models, Embeddings, Function Calling) and Retrieval-Augmented Generation (RAG) techniques to enhance AI-powered document retrieval, classification, and decision-making. Data Engineering & AI Model Performance Optimization Design, build, and optimize scalable data pipelines for AI/ML workflows using Pandas, PySpark, and Dask, integrating data sources such as Kafka, AWS S3, Azure Data Lake, and Snowflake. Enhance AI model inference efficiency by implementing vector retrieval using FAISS, Pinecone, or ChromaDB, and optimize API latency with tuning techniques (temperature, top-k sampling, max tokens settings). Microservices, APIs & Security Develop scalable RESTful APIs for AI models and data services, ensuring integration with internal and external systems while securing API endpoints using OAuth, JWT, and API Key Authentication. Implement AI-powered logging, observability, and monitoring to track data pipelines, model drift, and inference accuracy, ensuring compliance with AI governance and security best practices. AI & Data Engineering Collaboration Work with AI/ML, Data Engineering, and DevOps teams to optimize AI model deployments, data pipelines, and real-time/batch processing for AI-driven solutions. Engage in Agile ceremonies, backlog refinement, and collaborative problem-solving to scale AI-powered workflows in areas like fraud detection, claims processing, and intelligent automation. Cross-Functional Coordination and Communication Collaborate with Product, UX, and Compliance teams to align AI-powered features with user needs, security policies, and regulatory frameworks (HIPAA, GDPR, SOC2). Ensure seamless integration of structured and unstructured data sources (SQL, NoSQL, vector databases) to improve AI model accuracy and retrieval efficiency. Mentorship & Knowledge Sharing Mentor junior engineers on AI model integration, API development, and scalable data engineering best practices, and conduct knowledge-sharing sessions. Education & Experience Required 12-18 years of experience in software engineering or AI/ML development, preferably in AI-driven solutions. Hands-on experience with Agile development, SDLC, CI/CD pipelines, and AI model deployment lifecycles. Bachelor’s Degree or equivalent in Computer Science, Engineering, Data Science, or a related field. Proficiency in full-stack development with expertise in Python (preferred for AI), Java Experience with structured & unstructured data: SQL (PostgreSQL, MySQL, SQL Server) NoSQL (OpenSearch, Redis, Elasticsearch) Vector Databases (FAISS, Pinecone, ChromaDB) Cloud & AI Infrastructure AWS: Lambda, SageMaker, ECS, S3 Azure: Azure OpenAI, ML Studio GenAI Frameworks & Tools: OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, AutoGPT, CrewAI. Experience in LLM deployment, retrieval-augmented generation (RAG), and AI search optimization. Proficiency in AI model evaluation (BLEU, ROUGE, BERT Score, cosine similarity) and responsible AI deployment. Strong problem-solving skills, AI ethics awareness, and the ability to collaborate across AI, DevOps, and data engineering teams. Curiosity and eagerness to explore new AI models, tools, and best practices for scalable GenAI adoption. About Athenahealth Here’s our vision: To create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. What’s unique about our locations? From an historic, 19th century arsenal to a converted, landmark power plant, all of athenahealth’s offices were carefully chosen to represent our innovative spirit and promote the most positive and productive work environment for our teams. Our 10 offices across the United States and India — plus numerous remote employees — all work to modernize the healthcare experience, together. Our Company Culture Might Be Our Best Feature. We don't take ourselves too seriously. But our work? That’s another story. athenahealth develops and implements products and services that support US healthcare: It’s our chance to create healthier futures for ourselves, for our family and friends, for everyone. Our vibrant and talented employees — or athenistas, as we call ourselves — spark the innovation and passion needed to accomplish our goal. We continue to expand our workforce with amazing people who bring diverse backgrounds, experiences, and perspectives at every level, and foster an environment where every athenista feels comfortable bringing their best selves to work. Our size makes a difference, too: We are small enough that your individual contributions will stand out — but large enough to grow your career with our resources and established business stability. Giving back is integral to our culture. Our athenaGives platform strives to support food security, expand access to high-quality healthcare for all, and support STEM education to develop providers and technologists who will provide access to high-quality healthcare for all in the future. As part of the evolution of athenahealth’s Corporate Social Responsibility (CSR) program, we’ve selected nonprofit partners that align with our purpose and let us foster long-term partnerships for charitable giving, employee volunteerism, insight sharing, collaboration, and cross-team engagement. What can we do for you? Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative workspaces — some offices even welcome dogs. In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. And we provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued. We also encourage a better work-life balance for athenistas with our flexibility. While we know in-office collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment, full-time. With consistent communication and digital collaboration tools, athenahealth enables employees to find a balance that feels fulfilling and productive for each individual situation. Show more Show less

Summary Position Summary Analyst –Network Operations - Deloitte Support Services India Private Limited Work you'll do You will be responsible to performs technical analysis of issues and outages as they occur across Deloitte’s Core IT Systems. This individual also performs research to troubleshoot and resolve the issue or, depending upon complexity, escalates the issue to higher-level systems administrators and network engineers.The Service Reliability Center (SRC) Analyst is responsible for researching and documenting various mitigation strategies and must maintain a current and thorough knowledge of customer technologies and their significance to customer operations. This individual must be able to prioritize remediation of issues in a 24 x 7 environment with critical uptime requirements. This job role requires the individual to support during the US business hours. The TOC analyst may also perform basic system administration tasks such as network/system troubleshooting and executing various scripts. The position requires existing knowledge and experience combined with demonstrated excellence in taking ownership of problems, leading technical discussions, transferring knowledge and innovation. Roles and Responsibilities: Responsible for proactively monitoring and handling problems related to Routers and switches in Deloitte Network Troubleshoot circuits with local exchange and long-distance carriers. Escalate calls to vendor/principal whenever required. Troubleshooting and monitoring the LAN connectivity of the entire Deloitte network Troubleshooting basic network issues on-site and escalating problems to the higher level of support, when required Responsible for maintaining technical and operational documentation and training materials for installation and configuration activities. Monitor the network traffic and troubleshoot the networks in case of problems. Responsible for monitoring and configuring changes in the network to ensure the best possible application performance for the end-users. Monitor & resolve issues of WAN links for issues including Latency and Packet loss. Hands on experience in supporting & resolving Enterprise Cloud Networking related incidents/events Knowledge of Cloud service providers and their offerings Experience in ITSM modules including ServiceNow. Manage and troubleshoot the complex BGP and OSPF networks. Monitoring and troubleshooting of Core OSPF configuration over multiple network types Manage VLANs, Trunks, Ether channels, and implement VTP, STP on the catalyst, and Nexus switches Configuring Catalyst port security and Spanning tree security on 2900, 6500 series Cisco switches Excellent communication skills, both written and verbal, are essential for coordinating efforts and providing updates during major incidents Support multiple technical teams in 24 x 7 operational environments with high uptime requirement supporting during US Business hours Help reduce the team’s average MTTR Trigger problem tickets regarding monitoring and event management, such as incorrect or missing alerts and provide inputs for Root Cause Analysis Strong analytical and problem-solving skills to assess incidents, identify root causes, and develop effective solutions Highly Motivated, self-starter who has a very strong desire to learn Data Analytics: Collect and interpret data. Identify patterns and trends in data sets. Generate reports (including ad hoc reports), charts and visual presentations. Present data to team member and senior management. Tools Knowledge: Experience in tools including SolarWinds, Thousand Eyes, NetQoS and ServiceNow Education: Bachelor's degree in computer science, information technology, or a related field (or equivalent work experience). Years of Experience: 1-3 Relevant Experience: Directly related experience including working knowledge in Technology Operations, and Incident/Major Incident or Problem Management. Technical Skills: Strong knowledge of networking concepts including Switching and Routing Experience in Cisco Enterprise Networking (Routing & Switching). Good understanding of dynamic routing protocols (OSPF, BGP) and the concepts of IPv6, Multicast, STP, VPC & TCP/IP, MPLS, VPLS, DNS, DHCP, AD, Cloud, Internet, MPLS, VPLS, E-LAN Excellent communication skills and vendor management skills Proactive and detail-oriented mindset, with a focus on continuous improvement and delivering high-quality results. Certifications Preferred CCNA Core Competencies Prior experience in Systems and Network Tools Monitoring Strong communication skills, with the ability to collaborate effectively with cross-functional teams and stakeholders Proactive and detail-oriented mindset, with a focus on continuous improvement and delivering high-quality results Excellent communication skills and vendor management skills Good understanding of networking concepts, L1 - L7 protocols Work Location Hyderabad Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 304707 Show more Show less

The Applications Development Senior Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. Responsibilities: Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems Ensure essential procedures are followed and help define operating standards and processes Serve as advisor or coach to new or lower level analysts Has the ability to operate with a limited level of direct supervision. Can exercise independence of judgement and autonomy. Acts as SME to senior stakeholders and /or other team members. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Required Qualifications 8+ years of experience as a Software Engineer/Developer using Java Multiple years of experience with software engineering best practices (unit testing, automation, design patterns, peer review, etc.) Clear understanding of Data Structures and Object Oriented Principles using Java Multiple years of experience with Cloud-native development and Container Orchestration tools (Serverless, Docker, Kubernetes, OpenShift, etc.). Multiple years of experience on Service Oriented and MicroServices architectures, including REST implementations Multiple years of experience with frameworks like Spring Boot. Exposure to Continuous Integration and Continuous Delivery (CI/CD) pipelines, either on-premise or public cloud (i.e., Tekton, Harness, CircleCI, Cloudbees Jenkins, etc.) Multiple years of experience with agile and iterative software delivery Preferred Qualifications Exposure to architecture experience in building horizontally scalable, highly available, highly resilient, and low latency applications Exposure to Cloud infrastructure both on-premise and public cloud (i.e., OpenShift, AWS, etc.) Exposure to event-driven design and architecture (i.e., Kafka, Spark Flink, etc.) Exposure to API Management tools Exposure to Infrastructure as Code tools (i.e., Terraform, Cloudformation, etc.) Experience mentoring and providing technical leadership for teams of 5 or more developers Exposure to database concepts (RDBMS, NoSQL) and web-based technologies (Angular/React) is a plus Education: Bachelor’s degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

Experience : 4.00 + years Salary : INR 4000000-5000000 / 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: Customer-Centric Approach, Numpy, opencv, PIL, Pytorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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 : 4.00 + years Salary : INR 4000000-5000000 / 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: Customer-Centric Approach, Numpy, opencv, PIL, Pytorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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 : 4.00 + years Salary : INR 4000000-5000000 / 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: Customer-Centric Approach, Numpy, opencv, PIL, Pytorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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 : 4.00 + years Salary : INR 4000000-5000000 / 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: Customer-Centric Approach, Numpy, opencv, PIL, Pytorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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 : 4.00 + years Salary : INR 4000000-5000000 / 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: Customer-Centric Approach, Numpy, opencv, PIL, Pytorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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 : 4.00 + years Salary : INR 4000000-5000000 / 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: Customer-Centric Approach, Numpy, opencv, PIL, Pytorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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 : 4.00 + years Salary : INR 4000000-5000000 / 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: Customer-Centric Approach, Numpy, opencv, PIL, Pytorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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 : 4.00 + years Salary : INR 4000000-5000000 / 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: Customer-Centric Approach, Numpy, opencv, PIL, Pytorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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 Description Who We Are At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Unique Opportunity This is a unique opportunity to work on converging multiple legacy systems and execute on the Ledgers strategy to move a single Unified Data source and provide ledgers as a service across the firm. Our current technology drives processing across the firm, and we have started a multi-year convergence program to deliver a single, highly scalable platform for providing core ledgers services, to enable business growth with reduced operational costs. We’re looking for highly technical, commercially minded, software engineer who enjoy seeing things done differently to join us on this exciting journey. About The Team We are a part of a growing team in Bengaluru that will collaborate with colleagues around the world to support our legacy platforms as well as deliver our new strategic post trade portfolio platform. We are responsible for keeping the books and records for the firm. All our projects are cross-location and cross-function, meaning we work directly with Front office, Mid-office, Operations, Legal, Tax, Client Reporting and Regulatory Reporting and Engineering colleagues from those areas, across the wider firm. We work directly with Global Control, different business lines to design and implement a wide range of functions including Core Ledgers services, Exception detection processing, Client statements & interest accruals. Our strategic new platform is a brand new/greenfield initiative to converge all our businesses onto a single technology platform, to proving much better scalability, improved resiliency and reducing the time needed to develop and deliver new features. The programme is sponsored by our division’s senior leadership and is one of the key strategic deliveries of the next few years. Highly developed analytical and technical skills, combined with a commercial and collaborative approach to problem solving, are essential to our success. Responsibilities And Qualifications Who Are We Looking For Self-guided pragmatic individual with a proven track record in designing and delivering complex software solutions in the financial services industry. Motivated by the opportunity to make impactful deliveries for our businesses and clients Strong analytical skills Hungry to learn new concepts and technologies Ability to efficiently work within a global team Effective written and verbal communication skills Able to keep a commercial outlook while maintaining a focus on technical quality and attention to detail Skills And Experience We Are Looking For 3+ years of strong programming experience in Java Comfortable multi-tasking and working as part of a global team. Experience building and maintaining scalable and distributed systems. Familiarity with Test Driven Development and Business Driven Development Performant data structures and algorithms Experience of databases (SQL, NoSQL) Linux / Unix skills including scripting (shell) Knowledge of financial markets, asset classes and market infrastructure Basic experience in SRE practices and Incident Management. Goldman Sachs Engineering Culture At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical centre of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here. © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity. Show more Show less