We are seeking an experienced Devops/ AIOps Architect to design, architect, and implement an AI-driven operations solution that integrates various cloud-native services across AWS, Azure, and cloud-agnostic environments. The AIOps platform will be used for end-to-end machine learning lifecycle management, automated incident detection, and root cause analysis (RCA). The architect will lead efforts in developing a scalable solution utilizing data lakes, event streaming pipelines, ChatOps integration, and model deployment services. This platform will enable real-time intelligent operations in hybrid cloud and multi-cloud setups. Responsibilities Assist in the implementation and maintenance of cloud infrastructure and services Contribute to the development and deployment of automation tools for cloud operations Participate in monitoring and optimizing cloud resources using AIOps and MLOps techniques Collaborate with cross-functional teams to troubleshoot and resolve cloud infrastructure issues Support the design and implementation of scalable and reliable cloud architectures Conduct research and evaluation of new cloud technologies and tools Work on continuous improvement initiatives to enhance cloud operations efficiency and performance Document cloud infrastructure configurations, processes, and procedures Adhere to security best practices and compliance requirements in cloud operations Requirements Bachelor’s Degree in Computer Science, Engineering, or related field 12+ years of experience in DevOps roles, AIOps, OR Cloud Architecture Hands-on experience with AWS services such as SageMaker, S3, Glue, Kinesis, ECS, EKS Strong experience with Azure services such as Azure Machine Learning, Blob Storage, Azure Event Hubs, Azure AKS Strong experience with Infrastructure as Code (IAC)/ Terraform/ Cloud formation Proficiency in container orchestration (e.g., Kubernetes) and experience with multi-cloud environments Experience with machine learning model training, deployment, and data management across cloud-native and cloud-agnostic environments Expertise in implementing ChatOps solutions using platforms like Microsoft Teams, Slack, and integrating them with AIOps automation Familiarity with data lake architectures, data pipelines, and inference pipelines using event-driven architectures Strong programming skills in Python for rule management, automation, and integration with cloud services Nice to have Any certifications in the AI/ ML/ Gen AI space Show more Show less

Experience : 5.00 + years Salary : INR 5000000.00 / 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: Precanto) (*Note: This is a requirement for one of Uplers' client - A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams.) What do you need for this opportunity? Must have skills required: async workflows, MLOps, Ray Tune, Data Engineering, MLFlow, Supervised Learning, Time-Series Forecasting, Docker, machine_learning, NLP, Python, SQL A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams. is Looking for: We are a fast-moving startup building AI-driven solutions to the financial planning workflow. We’re looking for a versatile Machine Learning Engineer to join our team and take ownership of building, deploying, and scaling intelligent systems that power our core product. Job Description- Full-time Team: Data & ML Engineering We’re looking for 5+ years of experience as a Machine Learning or Data Engineer (startup experience is a plus) What You Will Do- Build and optimize machine learning models — from regression to time-series forecasting Work with data pipelines and orchestrate training/inference jobs using Ray, Airflow, and Docker Train, tune, and evaluate models using tools like Ray Tune, MLflow, and scikit-learn Design and deploy LLM-powered features and workflows Collaborate closely with product managers to turn ideas into experiments and production-ready solutions Partner with Software and DevOps engineers to build robust ML pipelines and integrate them with the broader platform Basic Skills Proven ability to work creatively and analytically in a problem-solving environment Excellent communication (written and oral) and interpersonal skills Strong understanding of supervised learning and time-series modeling Experience deploying ML models and building automated training/inference pipelines Ability to work cross-functionally in a collaborative and fast-paced environment Comfortable wearing many hats and owning projects end-to-end Write clean, tested, and scalable Python and SQL code Leverage async workflows and cloud-native infrastructure (S3, Docker, etc.) for high-throughput data processing. Advanced Skills Familiarity with MLOps best practices Prior experience with LLM-based features or production-level NLP Experience with LLMs, vector stores, or prompt engineering Contributions to open-source ML or data tools TECH STACK Languages: Python, SQL Frameworks & Tools: scikit-learn, Prophet, pyts, MLflow, Ray, Ray Tune, Jupyter Infra: Docker, Airflow, S3, asyncio, Pydantic 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

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Nielsen is seeking an organized, detail oriented, team player, to join the Engineering team in the role of Machine learning Engineer . Nielsen’s Audience Measurement Engineering platforms support the measurement of television viewing in more than 30 countries around the world. The Software Engineer will be responsible to define, develop, test, analyze, and deliver technology solutions within Nielsen’s Collections platforms. Qualifications: Experience having led multiple projects leveraging LLMs, GenAI and Prompt Engineering Exposure to real-world MLOps deploying models into production adding features to products Knowledge of working in a cloud environment Strong understanding of LLMs, GenAI, Prompt Engineering and Copilot Responsibilities: Bachelor's degree in Computer Science or equivalent degree 6+ years of software experience Experience with Machine learning frameworks and models The ML Engineer is expected to fully own the services that are built with the ML Scientists. This cuts across scalability, availability, having the metrics in place, alarms/alerts in place – and be responsible for the latency of the services Data quality checks & onboarding the data on to the cloud for modeling purposes Prompt Engineering, FT work, Evaluation, Data End-end AI Solution architecture, latency tradeoffs, LLM Inference Optimization, Control Plane, Data Plate, Platform Engineering Comfort in Python and Java is highly desirable The ML Engineer will head the ML engineering for a pod and be the technical leader for all ML/AI Engineering issues in a delivery pod Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Show more Show less

Role: Backend Developer Industry Type: Space Technology Location: Bangalore / Ahmedabad Employment Type: Full-time Role Overview As a Backend Developer, you will be responsible for architecting and implementing the core server-side logic of our satellite intelligence platform. You will create scalable, secure APIs and manage data-intensive workflows across distributed systems. The ideal candidate has deep expertise in backend technologies, asynchronous processing, and geospatial data handling, and is motivated to work in a fast-paced environment where performance and reliability are paramount. Key Responsibilities API & Scalable Backend Development Design and implement robust RESTful and GraphQL APIs to support frontend, and third-party clients. Architect and maintain a multi-tenant SaaS backend that supports modular features for different user roles and subscriptions. Optimize API performance through intelligent caching (Redis), asynchronous I/O, and pagination strategies. Implement API throttling, versioning, and rate limiting for secure and scalable usage. Real-Time Data Processing & Task Orchestration Develop asynchronous task queues using Celery, RabbitMQ, or Kafka to handle satellite image processing workflows. Design event-driven services to trigger analytics and anomaly detection pipelines in real time. Tune worker concurrency and manage queue priorities to adapt to fluctuating data loads. Database & Data Management Design normalized, spatially-indexed schemas in PostgreSQL/PostGIS for satellite and AIS metadata storage. Integrate and query MongoDB for storing unstructured sensor, detection, and inference data. Security, Observability & Compliance Implement secure user authentication (OAuth2, JWT) and RBAC to control feature access and data visibility. Set up structured logging, tracing, and monitoring (e.g., with Prometheus, Grafana, OpenTelemetry) for reliability and debugging. Ensure compliance with enterprise SaaS security standards (SOC2, GDPR, ISO 27001), including audit logging and data encryption. Required Skills & Experience Backend Technologies Proficiency in Python (FastAPI, Django) and/or Node.js (Express.js). Experience building microservices and API-first systems at scale. Databases Strong command of PostgreSQL/PostGIS for spatial data. Working knowledge of MongoDB, Redis. Task Orchestration Proven experience with Celery, RabbitMQ, Kafka, or similar asynchronous frameworks. Ability to implement task queues, event triggers, and parallel processing pipelines. Cloud-Native Development Experience working in Docker/Kubernetes environments. Familiarity with cloud-agnostic backend development and infrastructure-as-code principles. Security & Observability Understanding of API security, access control, and encryption techniques. Experience with monitoring tools and logs aggregation for debugging and performance optimization. Preferred Qualifications Built or contributed to multi-tenant SaaS platforms with tiered billing and access controls. Experience with cost-optimized backend design, including use of spot/preemptible instances. Knowledge of geospatial processing frameworks. This role is ideal for backend engineers passionate about building high-performance, scalable SaaS solutions for real-time geospatial intelligence and satellite data processing. You will play a central role in shaping the data and processing engine of a platform trusted for maritime surveillance, national security, and environmental monitoring. Show more Show less

Data Science @Dream Sports: Data Science at Dream Sports comprises seasoned data scientists thriving to drive value with data across all our initiatives. The team has developed state-of-the-art solutions for forecasting and optimization, data-driven risk prevention systems, Causal Inference and Recommender Systems to enhance product and user experience. We are a team of Machine Learning Scientists and Research Scientists with a portfolio of projects ranges from production ML systems that we conceptualize, build, support and innovate upon, to longer term research projects with potential game-changing impact for Dream Sports. This is a unique opportunity for highly motivated candidates to work on real-world applications of machine learning in the sports industry, with access to state-of-the-art resources, infrastructure, and data from multiple sources streaming from 250 million users and contributing to our collaboration with Columbia Dream Sports AI Innovation Center. Your Role: Implementing appropriate success metrics, driving rapid experimentation of new POCs and presenting the impacts to stakeholders Driving knowledge sharing sessions within and across teams while maintaining continuous feedback channels with teammates to ensure building growth paths Owning respective services by following best practices in service maintainability, understanding and acting on the risks and opportunities involved Prioritising roadmaps while balancing impact, effort, resources and team's requirements to complete initiatives within committed timelines Developing and evaluating predictive and prescriptive models using appropriate mathematical methods like supervised and unsupervised learning, frequentist statistics, estimation methods Designing large-scale ML systems with advanced ML frameworks like TensorFlow/Keras/PyTorch for training and inferencing at scale Ensuring cross team alignment towards business/project goals by driving visibility of initiatives, managing conflicts, and highlighting implementation blocks Qualifiers: 6 - 10 years of experience in building and maintaining ML solutions at scale Proficient in predictive modelling (ML,DL/RL) and experimentation/causal inference methods Atleast 1 year of experience in managing team of data scientists and handling cross functional stakeholders Proven track record of designing end to end ML systems which can handle the scale About Dream Sports: Dream Sports is India’s leading sports technology company with 250 million users, housing brands such as Dream11 , the world’s largest fantasy sports platform, FanCode , a premier sports content & commerce platform and DreamSetGo , a sports experiences platform. Dream Sports is based in Mumbai and has a workforce of close to 1,000 ‘Sportans’. Founded in 2008 by Harsh Jain and Bhavit Sheth, Dream Sports’ vision is to ‘Make Sports Better’ for fans through the confluence of sports and technology. For more information: https://dreamsports.group/ Dream11 is the world’s largest fantasy sports platform with 230 million users playing fantasy cricket, football, basketball & hockey on it. Dream11 is the flagship brand of Dream Sports, India’s leading Sports Technology company and has partnerships with several national & international sports bodies and cricketers. Show more Show less

Job Requirements We are seeking an experienced and visionary AI Architect / Subject Matter Expert (SME) to lead the design, development, and deployment of scalable artificial intelligence and machine learning (AI/ML) solutions. The ideal candidate will have deep expertise in AI technologies, hands-on experience in model development, and the ability to translate business challenges into technical strategies. As an AI Architect, you will serve as a strategic advisor, technology leader, and innovation driver, ensuring our AI solutions are impactful, ethical, and aligned with enterprise goals. Roles & Responsibilities Define the AI vision and roadmap aligned with organizational objectives. Design enterprise-grade AI/ML architectures integrating with data pipelines, APIs, cloud services, and business applications. Evaluate and recommend AI platforms, tools, and frameworks. Lead the end-to-end lifecycle of ML models: from data exploration, feature engineering, and training to deployment and monitoring. Work on supervised, unsupervised, and reinforcement learning models, as well as generative AI (LLMs, diffusion models, etc.). Apply deep learning (CNNs, RNNs, Transformers) for use cases in NLP, computer vision, or forecasting. Collaborate with data engineers to build robust data pipelines and preprocessing workflows. Implement MLOps practices for continuous integration, model versioning, retraining, and deployment. Integrate models with cloud services (AWS Sagemaker, Azure ML, GCP Vertex AI, etc.). Ensure AI solutions are transparent, explainable, fair, and compliant with data privacy laws (e.g., GDPR, HIPAA). Establish AI governance policies, including risk assessments, audits, and bias detection mechanisms. Act as a technical SME across AI initiatives, mentoring data scientists, engineers, and analysts. Lead cross-functional teams in developing POCs and MVPs for high-impact AI projects. Collaborate with executives, product managers, and stakeholders to prioritize use cases. Stay abreast of cutting-edge AI research, tools, and industry trends. Drive innovation through rapid prototyping, collaboration with academia/startups, and participation in AI communities. Publish internal white papers or contribute to patents and publications. Work Experience Required Skills Bachelor's or Master’s in Computer Science, AI, Data Science, or related field (PhD preferred). 8+ years in software or data engineering, with 4+ years in AI/ML roles. Proficient in Python and frameworks like TensorFlow, PyTorch, Scikit-learn, or Hugging Face Transformers. Strong grasp of algorithms, statistics, and probability. Experience deploying models in production via REST APIs, batch scoring, or real-time inference. Hands-on with cloud AI services (AWS, Azure, GCP). Experience with data tools: Spark, Kafka, Airflow, Snowflake, etc. Preferred Qualifications Certifications in AI/ML (e.g., AWS Certified Machine Learning, Google Cloud ML Engineer). Experience with LLMs, RAG pipelines, or enterprise chatbot systems. Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS). Contributions to open-source AI projects or academic publications. Experience in regulated industries (healthcare, finance, etc.) applying ethical AI principles. Show more Show less

Role Overview We are seeking a QA Manager with strong experience in test automation and a passion for AI . You will lead a team of QA engineers and work closely with cross-functional stakeholders to build robust testing frameworks, introduce intelligent automation, and ensure end-to-end product quality. You’ll also play a key role in shaping how AI can be used to improve QA efficiency and software reliability. Key Responsibilities Own the QA strategy, test planning, and execution for web, mobile, and API-based applications. Lead, mentor, and grow a team of QA engineers and SDETs. Design and implement automation frameworks using modern tools (e.g., Selenium, Cypress, Playwright, Appium). Evaluate and integrate AI-driven QA tools (e.g., Testim, Mabl, Functionize, Diffblue, ChatGPT-based test case generation). Drive continuous integration and delivery (CI/CD) of automated tests across environments. Establish test data strategies using synthetic data generation and AI-based test data tools. Collaborate with product managers, developers, and DevOps teams to define acceptance criteria and promote shift-left testing. Monitor quality metrics and use analytics to improve test coverage, defect detection, and release velocity. Stay abreast of emerging QA trends, especially in AI/ML validation, generative AI testing, and model interpretability QA. Required Skills & Qualifications 8+ years of experience in Quality Assurance, with at least 3 years in a managerial or leadership role. Proven track record in building and scaling test automation for complex systems. Experience with at least one programming language (Python, Java, JavaScript preferred). Hands-on experience with AI-powered QA tools or building AI/ML pipelines with embedded QA. Solid understanding of AI/ML concepts such as model training, inference, data drift, and validation. Strong knowledge of testing practices: unit, integration, functional, performance, regression, security. Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab, etc.). Familiarity with cloud platforms (AWS, Azure, or GCP) and containerized environments (Docker, Kubernetes). Excellent leadership, communication, and stakeholder management skills. Nice to Have Exposure to MLOps or AI model lifecycle QA. Experience in regulatory or enterprise-level compliance QA (e.g., SOC2, GDPR). Contributions to open-source QA projects or AI QA communities. Show more Show less

The GenAI Technical Solutions Architect develops and implements GEN AI achitecture strategies, best practices, and standards to enhance AI ML model deployment and monitoring efficiency. Develop architecture roadmap and strategy for GenAI Platforms and tech stacks. This role will focus on the technical development, deployment, Code reuse and optimization of GenAI solutions, ensuring alignment with business strategies and technological advancements. Responsibilities: 1. Develop cutting-edge architectural strategies for Gen AI components and platforms, leveraging advanced techniques such as chunking, Retrieval-Augmented Generation (RAG), Ai agents, and embeddings. Balance build versus buy decisions, ensuring alignment with SaaS models and decision trees, particularly for the PepGenX platform. Emphasize low coupling and cohesive model development. 2. Lead working sessions for Arch Alignment, pattern library development, GEN AI Tools Data Architect alignment, tag new components to reuse (components reuse strategy), patterns of the usecases, reuse components ( save efforts, time money). 3. Lead the implementation of LLM operations, focusing on optimizing model performance, scalability, and efficiency. Design and implement LLM agentic processes to create autonomous AI systems capable of complex decision-making and task execution. 4. Work closely with data scientists and AI professionals to identify and pilot innovative use cases that drive digital transformation. Assess the feasibility of these use cases, aligning them with business objectives, ROI and leveraging advanced AI techniques. 5. Gather inputs from various stakeholders to align technical implementations with current and future requirements. Develop processes and products based on these inputs, incorporating state-of-the-art AI methodologies. 6. Define AI architecture and select suitable technologies, with a focus on integrating RAG systems, embedding models, and advanced LLM frameworks. Decide on optimal deployment models, ensuring seamless integration with existing data management and analytics tools. 7. Audit AI tools and practices, focusing on continuous improvement of LLM ops and agentic processes. Collaborate with security and risk leaders to mitigate risks such as data poisoning and model theft, ensuring ethical AI implementation. 8. Stay updated on AI regulations and map them to best practices in AI architecture and pipeline planning. Develop expertise in ML and deep learning workflow architectures, with a focus on chunking strategies, embedding pipelines, and RAG system implementation. 9. Apply advanced software engineering and DevOps principles, utilizing tools like Git, Kubernetes, and CI/CD for efficient LLM ops. Collaborate across teams to ensure AI platforms meet both business and technical requirements. 10. Spearhead the exploration and application of cutting-edge Large Language Models (LLMs) and Generative AI, including multi-modal capabilities and agentic processes. Oversee MLOps, automating ML pipelines from training to deployment with a focus on RAG and embedding optimization. 11. Engage in sophisticated model development from ideation to deployment, leveraging advanced chunking and RAG techniques. Effectively communicate complex analysis results to business partners and executives. 12. Proactively reduce biases in model predictions, focusing on fair and inclusive AI systems through advanced debiasing techniques in embeddings and LLM training. 13. Design efficient data pipelines to support large language model training and inference, with a focus on optimizing chunking strategies and embedding generation for RAG systems. Experience: 1. Proven track record in shipping products and developing state-of-the-art Gen AI product architecture. 2. 10+ years of experience with a strong balance of business acumen and technical expertise in AI. 3. 5+ years in building and releasing NLP/AI software, with specific experience in RAG , Agents systems and embedding models. 4. Demonstrated experience in delivering Gen AI products, including Multi-modal LLMs, Foundation models, and agentic AI systems. 5. Deep familiarity with cloud technologies, especially Azure, and experience deploying models for large-scale inference using advanced LLM ops techniques. 6. Proficiency in PyTorch, TensorFlow, Kubernetes, Docker, LlamaIndex, LangChain, LLM, SLM, LAM, and cloud platforms, with a focus on implementing RAG and embedding pipelines. 7. Excellent communication and interpersonal skills, with a strong design capability and ability to articulate complex AI concepts to diverse audiences. 8. Hands-on experience with chunking strategies, RAG implementation, and optimizing embedding models for various AI applications. Qualifications: - Bachelor’s or master’s degree in computer science, Data Science, or a related technical field. - Demonstrated ability to translate complex technical concepts into actionable business strategies. Experience in data-driven decision-making processes. - Strong communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders. - Proven track record in managing and delivering AI/ML projects, with a focus on GenAI solutions, in large-scale enterprise environments. Show more Show less

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Nielsen is seeking an organized, detail oriented, team player, to join the Engineering team in the role of Machine learning Engineer . Nielsen’s Audience Measurement Engineering platforms support the measurement of television viewing in more than 30 countries around the world. The Software Engineer will be responsible to define, develop, test, analyze, and deliver technology solutions within Nielsen’s Collections platforms. Qualifications: Experience having led multiple projects leveraging LLMs, GenAI and Prompt Engineering Exposure to real-world MLOps deploying models into production adding features to products Knowledge of working in a cloud environment Strong understanding of LLMs, GenAI, Prompt Engineering and Copilot Responsibilities: Bachelor's degree in Computer Science or equivalent degree 6+ years of software experience Experience with Machine learning frameworks and models The ML Engineer is expected to fully own the services that are built with the ML Scientists. This cuts across scalability, availability, having the metrics in place, alarms/alerts in place – and be responsible for the latency of the services Data quality checks & onboarding the data on to the cloud for modeling purposes Prompt Engineering, FT work, Evaluation, Data End-end AI Solution architecture, latency tradeoffs, LLM Inference Optimization, Control Plane, Data Plate, Platform Engineering Comfort in Python and Java is highly desirable The ML Engineer will head the ML engineering for a pod and be the technical leader for all ML/AI Engineering issues in a delivery pod Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Show more Show less

Experience : 4.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - HurixDigital) What do you need for this opportunity? Must have skills required: Golang, Anguar, AWS HurixDigital is Looking for: Job Summary We are seeking a highly skilled and innovative AI Engineer with Full Stack capabilities to join our dynamic team. The ideal candidate will bring a strong blend of expertise in artificial intelligence, modern software engineering practices, and cloud infrastructure. You will be responsible for designing, developing, and deploying intelligent applications that are scalable, resilient, and deliver real business value. Key Responsibilities Develop and deploy end-to-end AI-powered applications leveraging full-stack development best practices. Architect and integrate AI/ML models and pipelines using tools like LangChain, Hugging Face, OpenAI, and Anthropic Claude APIs. Design and implement microservices, RESTful APIs, and backend systems with scalability and maintainability in mind. Leverage cloud platforms (AWS, Azure, GCP) for hosting, automation, and scaling services. Integrate CI/CD pipelines to ensure smooth and frequent deployment cycles. Collaborate with cross-functional teams to translate business requirements into technical solutions. Apply techniques such as content chunking, vector search, embedding models, and retrievers to build advanced AI retrieval systems. Ensure robust architecture that can withstand variable load conditions, focusing on fault tolerance and high availability. Maintain documentation and adhere to best practices in software development and AI model integration. Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of hands-on experience in AI engineering and full-stack development. Strong proficiency with AI/ML tools including LangChain, Hugging Face, OpenAI, and Claude APIs. Deep understanding of vector databases, retrievers, and modern NLP workflows. Proficient in one or more full-stack frameworks (e.g., Node.js, Django, React, Angular). Experience with cloud platforms (AWS, Azure, GCP) and infrastructure automation tools (e.g., Terraform, CloudFormation). Solid experience with CI/CD pipelines, GitOps, and container orchestration (e.g., Docker, Kubernetes). Proven ability to architect resilient systems and optimize performance under fluctuating workloads. Preferred Skills Knowledge of prompt engineering and LLM fine-tuning techniques. Familiarity with DevSecOps practices and AI compliance requirements. Exposure to multimodal models and real-time inference systems. What We Offer Opportunity to work on cutting-edge AI products and tools. Collaborative and inclusive team environment. Flexible work schedule and remote work options. Competitive salary and performance bonuses. 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 : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - HurixDigital) What do you need for this opportunity? Must have skills required: Golang, Anguar, AWS HurixDigital is Looking for: Job Summary We are seeking a highly skilled and innovative AI Engineer with Full Stack capabilities to join our dynamic team. The ideal candidate will bring a strong blend of expertise in artificial intelligence, modern software engineering practices, and cloud infrastructure. You will be responsible for designing, developing, and deploying intelligent applications that are scalable, resilient, and deliver real business value. Key Responsibilities Develop and deploy end-to-end AI-powered applications leveraging full-stack development best practices. Architect and integrate AI/ML models and pipelines using tools like LangChain, Hugging Face, OpenAI, and Anthropic Claude APIs. Design and implement microservices, RESTful APIs, and backend systems with scalability and maintainability in mind. Leverage cloud platforms (AWS, Azure, GCP) for hosting, automation, and scaling services. Integrate CI/CD pipelines to ensure smooth and frequent deployment cycles. Collaborate with cross-functional teams to translate business requirements into technical solutions. Apply techniques such as content chunking, vector search, embedding models, and retrievers to build advanced AI retrieval systems. Ensure robust architecture that can withstand variable load conditions, focusing on fault tolerance and high availability. Maintain documentation and adhere to best practices in software development and AI model integration. Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of hands-on experience in AI engineering and full-stack development. Strong proficiency with AI/ML tools including LangChain, Hugging Face, OpenAI, and Claude APIs. Deep understanding of vector databases, retrievers, and modern NLP workflows. Proficient in one or more full-stack frameworks (e.g., Node.js, Django, React, Angular). Experience with cloud platforms (AWS, Azure, GCP) and infrastructure automation tools (e.g., Terraform, CloudFormation). Solid experience with CI/CD pipelines, GitOps, and container orchestration (e.g., Docker, Kubernetes). Proven ability to architect resilient systems and optimize performance under fluctuating workloads. Preferred Skills Knowledge of prompt engineering and LLM fine-tuning techniques. Familiarity with DevSecOps practices and AI compliance requirements. Exposure to multimodal models and real-time inference systems. What We Offer Opportunity to work on cutting-edge AI products and tools. Collaborative and inclusive team environment. Flexible work schedule and remote work options. Competitive salary and performance bonuses. 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 : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - HurixDigital) What do you need for this opportunity? Must have skills required: Golang, Anguar, AWS HurixDigital is Looking for: Job Summary We are seeking a highly skilled and innovative AI Engineer with Full Stack capabilities to join our dynamic team. The ideal candidate will bring a strong blend of expertise in artificial intelligence, modern software engineering practices, and cloud infrastructure. You will be responsible for designing, developing, and deploying intelligent applications that are scalable, resilient, and deliver real business value. Key Responsibilities Develop and deploy end-to-end AI-powered applications leveraging full-stack development best practices. Architect and integrate AI/ML models and pipelines using tools like LangChain, Hugging Face, OpenAI, and Anthropic Claude APIs. Design and implement microservices, RESTful APIs, and backend systems with scalability and maintainability in mind. Leverage cloud platforms (AWS, Azure, GCP) for hosting, automation, and scaling services. Integrate CI/CD pipelines to ensure smooth and frequent deployment cycles. Collaborate with cross-functional teams to translate business requirements into technical solutions. Apply techniques such as content chunking, vector search, embedding models, and retrievers to build advanced AI retrieval systems. Ensure robust architecture that can withstand variable load conditions, focusing on fault tolerance and high availability. Maintain documentation and adhere to best practices in software development and AI model integration. Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of hands-on experience in AI engineering and full-stack development. Strong proficiency with AI/ML tools including LangChain, Hugging Face, OpenAI, and Claude APIs. Deep understanding of vector databases, retrievers, and modern NLP workflows. Proficient in one or more full-stack frameworks (e.g., Node.js, Django, React, Angular). Experience with cloud platforms (AWS, Azure, GCP) and infrastructure automation tools (e.g., Terraform, CloudFormation). Solid experience with CI/CD pipelines, GitOps, and container orchestration (e.g., Docker, Kubernetes). Proven ability to architect resilient systems and optimize performance under fluctuating workloads. Preferred Skills Knowledge of prompt engineering and LLM fine-tuning techniques. Familiarity with DevSecOps practices and AI compliance requirements. Exposure to multimodal models and real-time inference systems. What We Offer Opportunity to work on cutting-edge AI products and tools. Collaborative and inclusive team environment. Flexible work schedule and remote work options. Competitive salary and performance bonuses. 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 : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - HurixDigital) What do you need for this opportunity? Must have skills required: Golang, Anguar, AWS HurixDigital is Looking for: Job Summary We are seeking a highly skilled and innovative AI Engineer with Full Stack capabilities to join our dynamic team. The ideal candidate will bring a strong blend of expertise in artificial intelligence, modern software engineering practices, and cloud infrastructure. You will be responsible for designing, developing, and deploying intelligent applications that are scalable, resilient, and deliver real business value. Key Responsibilities Develop and deploy end-to-end AI-powered applications leveraging full-stack development best practices. Architect and integrate AI/ML models and pipelines using tools like LangChain, Hugging Face, OpenAI, and Anthropic Claude APIs. Design and implement microservices, RESTful APIs, and backend systems with scalability and maintainability in mind. Leverage cloud platforms (AWS, Azure, GCP) for hosting, automation, and scaling services. Integrate CI/CD pipelines to ensure smooth and frequent deployment cycles. Collaborate with cross-functional teams to translate business requirements into technical solutions. Apply techniques such as content chunking, vector search, embedding models, and retrievers to build advanced AI retrieval systems. Ensure robust architecture that can withstand variable load conditions, focusing on fault tolerance and high availability. Maintain documentation and adhere to best practices in software development and AI model integration. Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of hands-on experience in AI engineering and full-stack development. Strong proficiency with AI/ML tools including LangChain, Hugging Face, OpenAI, and Claude APIs. Deep understanding of vector databases, retrievers, and modern NLP workflows. Proficient in one or more full-stack frameworks (e.g., Node.js, Django, React, Angular). Experience with cloud platforms (AWS, Azure, GCP) and infrastructure automation tools (e.g., Terraform, CloudFormation). Solid experience with CI/CD pipelines, GitOps, and container orchestration (e.g., Docker, Kubernetes). Proven ability to architect resilient systems and optimize performance under fluctuating workloads. Preferred Skills Knowledge of prompt engineering and LLM fine-tuning techniques. Familiarity with DevSecOps practices and AI compliance requirements. Exposure to multimodal models and real-time inference systems. What We Offer Opportunity to work on cutting-edge AI products and tools. Collaborative and inclusive team environment. Flexible work schedule and remote work options. Competitive salary and performance bonuses. 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 : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - HurixDigital) What do you need for this opportunity? Must have skills required: Golang, Anguar, AWS HurixDigital is Looking for: Job Summary We are seeking a highly skilled and innovative AI Engineer with Full Stack capabilities to join our dynamic team. The ideal candidate will bring a strong blend of expertise in artificial intelligence, modern software engineering practices, and cloud infrastructure. You will be responsible for designing, developing, and deploying intelligent applications that are scalable, resilient, and deliver real business value. Key Responsibilities Develop and deploy end-to-end AI-powered applications leveraging full-stack development best practices. Architect and integrate AI/ML models and pipelines using tools like LangChain, Hugging Face, OpenAI, and Anthropic Claude APIs. Design and implement microservices, RESTful APIs, and backend systems with scalability and maintainability in mind. Leverage cloud platforms (AWS, Azure, GCP) for hosting, automation, and scaling services. Integrate CI/CD pipelines to ensure smooth and frequent deployment cycles. Collaborate with cross-functional teams to translate business requirements into technical solutions. Apply techniques such as content chunking, vector search, embedding models, and retrievers to build advanced AI retrieval systems. Ensure robust architecture that can withstand variable load conditions, focusing on fault tolerance and high availability. Maintain documentation and adhere to best practices in software development and AI model integration. Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of hands-on experience in AI engineering and full-stack development. Strong proficiency with AI/ML tools including LangChain, Hugging Face, OpenAI, and Claude APIs. Deep understanding of vector databases, retrievers, and modern NLP workflows. Proficient in one or more full-stack frameworks (e.g., Node.js, Django, React, Angular). Experience with cloud platforms (AWS, Azure, GCP) and infrastructure automation tools (e.g., Terraform, CloudFormation). Solid experience with CI/CD pipelines, GitOps, and container orchestration (e.g., Docker, Kubernetes). Proven ability to architect resilient systems and optimize performance under fluctuating workloads. Preferred Skills Knowledge of prompt engineering and LLM fine-tuning techniques. Familiarity with DevSecOps practices and AI compliance requirements. Exposure to multimodal models and real-time inference systems. What We Offer Opportunity to work on cutting-edge AI products and tools. Collaborative and inclusive team environment. Flexible work schedule and remote work options. Competitive salary and performance bonuses. 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 : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - HurixDigital) What do you need for this opportunity? Must have skills required: Golang, Anguar, AWS HurixDigital is Looking for: Job Summary We are seeking a highly skilled and innovative AI Engineer with Full Stack capabilities to join our dynamic team. The ideal candidate will bring a strong blend of expertise in artificial intelligence, modern software engineering practices, and cloud infrastructure. You will be responsible for designing, developing, and deploying intelligent applications that are scalable, resilient, and deliver real business value. Key Responsibilities Develop and deploy end-to-end AI-powered applications leveraging full-stack development best practices. Architect and integrate AI/ML models and pipelines using tools like LangChain, Hugging Face, OpenAI, and Anthropic Claude APIs. Design and implement microservices, RESTful APIs, and backend systems with scalability and maintainability in mind. Leverage cloud platforms (AWS, Azure, GCP) for hosting, automation, and scaling services. Integrate CI/CD pipelines to ensure smooth and frequent deployment cycles. Collaborate with cross-functional teams to translate business requirements into technical solutions. Apply techniques such as content chunking, vector search, embedding models, and retrievers to build advanced AI retrieval systems. Ensure robust architecture that can withstand variable load conditions, focusing on fault tolerance and high availability. Maintain documentation and adhere to best practices in software development and AI model integration. Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of hands-on experience in AI engineering and full-stack development. Strong proficiency with AI/ML tools including LangChain, Hugging Face, OpenAI, and Claude APIs. Deep understanding of vector databases, retrievers, and modern NLP workflows. Proficient in one or more full-stack frameworks (e.g., Node.js, Django, React, Angular). Experience with cloud platforms (AWS, Azure, GCP) and infrastructure automation tools (e.g., Terraform, CloudFormation). Solid experience with CI/CD pipelines, GitOps, and container orchestration (e.g., Docker, Kubernetes). Proven ability to architect resilient systems and optimize performance under fluctuating workloads. Preferred Skills Knowledge of prompt engineering and LLM fine-tuning techniques. Familiarity with DevSecOps practices and AI compliance requirements. Exposure to multimodal models and real-time inference systems. What We Offer Opportunity to work on cutting-edge AI products and tools. Collaborative and inclusive team environment. Flexible work schedule and remote work options. Competitive salary and performance bonuses. 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 : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - HurixDigital) What do you need for this opportunity? Must have skills required: Golang, Anguar, AWS HurixDigital is Looking for: Job Summary We are seeking a highly skilled and innovative AI Engineer with Full Stack capabilities to join our dynamic team. The ideal candidate will bring a strong blend of expertise in artificial intelligence, modern software engineering practices, and cloud infrastructure. You will be responsible for designing, developing, and deploying intelligent applications that are scalable, resilient, and deliver real business value. Key Responsibilities Develop and deploy end-to-end AI-powered applications leveraging full-stack development best practices. Architect and integrate AI/ML models and pipelines using tools like LangChain, Hugging Face, OpenAI, and Anthropic Claude APIs. Design and implement microservices, RESTful APIs, and backend systems with scalability and maintainability in mind. Leverage cloud platforms (AWS, Azure, GCP) for hosting, automation, and scaling services. Integrate CI/CD pipelines to ensure smooth and frequent deployment cycles. Collaborate with cross-functional teams to translate business requirements into technical solutions. Apply techniques such as content chunking, vector search, embedding models, and retrievers to build advanced AI retrieval systems. Ensure robust architecture that can withstand variable load conditions, focusing on fault tolerance and high availability. Maintain documentation and adhere to best practices in software development and AI model integration. Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of hands-on experience in AI engineering and full-stack development. Strong proficiency with AI/ML tools including LangChain, Hugging Face, OpenAI, and Claude APIs. Deep understanding of vector databases, retrievers, and modern NLP workflows. Proficient in one or more full-stack frameworks (e.g., Node.js, Django, React, Angular). Experience with cloud platforms (AWS, Azure, GCP) and infrastructure automation tools (e.g., Terraform, CloudFormation). Solid experience with CI/CD pipelines, GitOps, and container orchestration (e.g., Docker, Kubernetes). Proven ability to architect resilient systems and optimize performance under fluctuating workloads. Preferred Skills Knowledge of prompt engineering and LLM fine-tuning techniques. Familiarity with DevSecOps practices and AI compliance requirements. Exposure to multimodal models and real-time inference systems. What We Offer Opportunity to work on cutting-edge AI products and tools. Collaborative and inclusive team environment. Flexible work schedule and remote work options. Competitive salary and performance bonuses. 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 : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - HurixDigital) What do you need for this opportunity? Must have skills required: Golang, Anguar, AWS HurixDigital is Looking for: Job Summary We are seeking a highly skilled and innovative AI Engineer with Full Stack capabilities to join our dynamic team. The ideal candidate will bring a strong blend of expertise in artificial intelligence, modern software engineering practices, and cloud infrastructure. You will be responsible for designing, developing, and deploying intelligent applications that are scalable, resilient, and deliver real business value. Key Responsibilities Develop and deploy end-to-end AI-powered applications leveraging full-stack development best practices. Architect and integrate AI/ML models and pipelines using tools like LangChain, Hugging Face, OpenAI, and Anthropic Claude APIs. Design and implement microservices, RESTful APIs, and backend systems with scalability and maintainability in mind. Leverage cloud platforms (AWS, Azure, GCP) for hosting, automation, and scaling services. Integrate CI/CD pipelines to ensure smooth and frequent deployment cycles. Collaborate with cross-functional teams to translate business requirements into technical solutions. Apply techniques such as content chunking, vector search, embedding models, and retrievers to build advanced AI retrieval systems. Ensure robust architecture that can withstand variable load conditions, focusing on fault tolerance and high availability. Maintain documentation and adhere to best practices in software development and AI model integration. Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of hands-on experience in AI engineering and full-stack development. Strong proficiency with AI/ML tools including LangChain, Hugging Face, OpenAI, and Claude APIs. Deep understanding of vector databases, retrievers, and modern NLP workflows. Proficient in one or more full-stack frameworks (e.g., Node.js, Django, React, Angular). Experience with cloud platforms (AWS, Azure, GCP) and infrastructure automation tools (e.g., Terraform, CloudFormation). Solid experience with CI/CD pipelines, GitOps, and container orchestration (e.g., Docker, Kubernetes). Proven ability to architect resilient systems and optimize performance under fluctuating workloads. Preferred Skills Knowledge of prompt engineering and LLM fine-tuning techniques. Familiarity with DevSecOps practices and AI compliance requirements. Exposure to multimodal models and real-time inference systems. What We Offer Opportunity to work on cutting-edge AI products and tools. Collaborative and inclusive team environment. Flexible work schedule and remote work options. Competitive salary and performance bonuses. 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 : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - HurixDigital) What do you need for this opportunity? Must have skills required: Golang, Anguar, AWS HurixDigital is Looking for: Job Summary We are seeking a highly skilled and innovative AI Engineer with Full Stack capabilities to join our dynamic team. The ideal candidate will bring a strong blend of expertise in artificial intelligence, modern software engineering practices, and cloud infrastructure. You will be responsible for designing, developing, and deploying intelligent applications that are scalable, resilient, and deliver real business value. Key Responsibilities Develop and deploy end-to-end AI-powered applications leveraging full-stack development best practices. Architect and integrate AI/ML models and pipelines using tools like LangChain, Hugging Face, OpenAI, and Anthropic Claude APIs. Design and implement microservices, RESTful APIs, and backend systems with scalability and maintainability in mind. Leverage cloud platforms (AWS, Azure, GCP) for hosting, automation, and scaling services. Integrate CI/CD pipelines to ensure smooth and frequent deployment cycles. Collaborate with cross-functional teams to translate business requirements into technical solutions. Apply techniques such as content chunking, vector search, embedding models, and retrievers to build advanced AI retrieval systems. Ensure robust architecture that can withstand variable load conditions, focusing on fault tolerance and high availability. Maintain documentation and adhere to best practices in software development and AI model integration. Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of hands-on experience in AI engineering and full-stack development. Strong proficiency with AI/ML tools including LangChain, Hugging Face, OpenAI, and Claude APIs. Deep understanding of vector databases, retrievers, and modern NLP workflows. Proficient in one or more full-stack frameworks (e.g., Node.js, Django, React, Angular). Experience with cloud platforms (AWS, Azure, GCP) and infrastructure automation tools (e.g., Terraform, CloudFormation). Solid experience with CI/CD pipelines, GitOps, and container orchestration (e.g., Docker, Kubernetes). Proven ability to architect resilient systems and optimize performance under fluctuating workloads. Preferred Skills Knowledge of prompt engineering and LLM fine-tuning techniques. Familiarity with DevSecOps practices and AI compliance requirements. Exposure to multimodal models and real-time inference systems. What We Offer Opportunity to work on cutting-edge AI products and tools. Collaborative and inclusive team environment. Flexible work schedule and remote work options. Competitive salary and performance bonuses. 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 : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - HurixDigital) What do you need for this opportunity? Must have skills required: Golang, Anguar, AWS HurixDigital is Looking for: Job Summary We are seeking a highly skilled and innovative AI Engineer with Full Stack capabilities to join our dynamic team. The ideal candidate will bring a strong blend of expertise in artificial intelligence, modern software engineering practices, and cloud infrastructure. You will be responsible for designing, developing, and deploying intelligent applications that are scalable, resilient, and deliver real business value. Key Responsibilities Develop and deploy end-to-end AI-powered applications leveraging full-stack development best practices. Architect and integrate AI/ML models and pipelines using tools like LangChain, Hugging Face, OpenAI, and Anthropic Claude APIs. Design and implement microservices, RESTful APIs, and backend systems with scalability and maintainability in mind. Leverage cloud platforms (AWS, Azure, GCP) for hosting, automation, and scaling services. Integrate CI/CD pipelines to ensure smooth and frequent deployment cycles. Collaborate with cross-functional teams to translate business requirements into technical solutions. Apply techniques such as content chunking, vector search, embedding models, and retrievers to build advanced AI retrieval systems. Ensure robust architecture that can withstand variable load conditions, focusing on fault tolerance and high availability. Maintain documentation and adhere to best practices in software development and AI model integration. Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of hands-on experience in AI engineering and full-stack development. Strong proficiency with AI/ML tools including LangChain, Hugging Face, OpenAI, and Claude APIs. Deep understanding of vector databases, retrievers, and modern NLP workflows. Proficient in one or more full-stack frameworks (e.g., Node.js, Django, React, Angular). Experience with cloud platforms (AWS, Azure, GCP) and infrastructure automation tools (e.g., Terraform, CloudFormation). Solid experience with CI/CD pipelines, GitOps, and container orchestration (e.g., Docker, Kubernetes). Proven ability to architect resilient systems and optimize performance under fluctuating workloads. Preferred Skills Knowledge of prompt engineering and LLM fine-tuning techniques. Familiarity with DevSecOps practices and AI compliance requirements. Exposure to multimodal models and real-time inference systems. What We Offer Opportunity to work on cutting-edge AI products and tools. Collaborative and inclusive team environment. Flexible work schedule and remote work options. Competitive salary and performance bonuses. 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 : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - HurixDigital) What do you need for this opportunity? Must have skills required: Golang, Anguar, AWS HurixDigital is Looking for: Job Summary We are seeking a highly skilled and innovative AI Engineer with Full Stack capabilities to join our dynamic team. The ideal candidate will bring a strong blend of expertise in artificial intelligence, modern software engineering practices, and cloud infrastructure. You will be responsible for designing, developing, and deploying intelligent applications that are scalable, resilient, and deliver real business value. Key Responsibilities Develop and deploy end-to-end AI-powered applications leveraging full-stack development best practices. Architect and integrate AI/ML models and pipelines using tools like LangChain, Hugging Face, OpenAI, and Anthropic Claude APIs. Design and implement microservices, RESTful APIs, and backend systems with scalability and maintainability in mind. Leverage cloud platforms (AWS, Azure, GCP) for hosting, automation, and scaling services. Integrate CI/CD pipelines to ensure smooth and frequent deployment cycles. Collaborate with cross-functional teams to translate business requirements into technical solutions. Apply techniques such as content chunking, vector search, embedding models, and retrievers to build advanced AI retrieval systems. Ensure robust architecture that can withstand variable load conditions, focusing on fault tolerance and high availability. Maintain documentation and adhere to best practices in software development and AI model integration. Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of hands-on experience in AI engineering and full-stack development. Strong proficiency with AI/ML tools including LangChain, Hugging Face, OpenAI, and Claude APIs. Deep understanding of vector databases, retrievers, and modern NLP workflows. Proficient in one or more full-stack frameworks (e.g., Node.js, Django, React, Angular). Experience with cloud platforms (AWS, Azure, GCP) and infrastructure automation tools (e.g., Terraform, CloudFormation). Solid experience with CI/CD pipelines, GitOps, and container orchestration (e.g., Docker, Kubernetes). Proven ability to architect resilient systems and optimize performance under fluctuating workloads. Preferred Skills Knowledge of prompt engineering and LLM fine-tuning techniques. Familiarity with DevSecOps practices and AI compliance requirements. Exposure to multimodal models and real-time inference systems. What We Offer Opportunity to work on cutting-edge AI products and tools. Collaborative and inclusive team environment. Flexible work schedule and remote work options. Competitive salary and performance bonuses. 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 : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - HurixDigital) What do you need for this opportunity? Must have skills required: Golang, Anguar, AWS HurixDigital is Looking for: Job Summary We are seeking a highly skilled and innovative AI Engineer with Full Stack capabilities to join our dynamic team. The ideal candidate will bring a strong blend of expertise in artificial intelligence, modern software engineering practices, and cloud infrastructure. You will be responsible for designing, developing, and deploying intelligent applications that are scalable, resilient, and deliver real business value. Key Responsibilities Develop and deploy end-to-end AI-powered applications leveraging full-stack development best practices. Architect and integrate AI/ML models and pipelines using tools like LangChain, Hugging Face, OpenAI, and Anthropic Claude APIs. Design and implement microservices, RESTful APIs, and backend systems with scalability and maintainability in mind. Leverage cloud platforms (AWS, Azure, GCP) for hosting, automation, and scaling services. Integrate CI/CD pipelines to ensure smooth and frequent deployment cycles. Collaborate with cross-functional teams to translate business requirements into technical solutions. Apply techniques such as content chunking, vector search, embedding models, and retrievers to build advanced AI retrieval systems. Ensure robust architecture that can withstand variable load conditions, focusing on fault tolerance and high availability. Maintain documentation and adhere to best practices in software development and AI model integration. Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of hands-on experience in AI engineering and full-stack development. Strong proficiency with AI/ML tools including LangChain, Hugging Face, OpenAI, and Claude APIs. Deep understanding of vector databases, retrievers, and modern NLP workflows. Proficient in one or more full-stack frameworks (e.g., Node.js, Django, React, Angular). Experience with cloud platforms (AWS, Azure, GCP) and infrastructure automation tools (e.g., Terraform, CloudFormation). Solid experience with CI/CD pipelines, GitOps, and container orchestration (e.g., Docker, Kubernetes). Proven ability to architect resilient systems and optimize performance under fluctuating workloads. Preferred Skills Knowledge of prompt engineering and LLM fine-tuning techniques. Familiarity with DevSecOps practices and AI compliance requirements. Exposure to multimodal models and real-time inference systems. What We Offer Opportunity to work on cutting-edge AI products and tools. Collaborative and inclusive team environment. Flexible work schedule and remote work options. Competitive salary and performance bonuses. 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 : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - HurixDigital) What do you need for this opportunity? Must have skills required: Golang, Anguar, AWS HurixDigital is Looking for: Job Summary We are seeking a highly skilled and innovative AI Engineer with Full Stack capabilities to join our dynamic team. The ideal candidate will bring a strong blend of expertise in artificial intelligence, modern software engineering practices, and cloud infrastructure. You will be responsible for designing, developing, and deploying intelligent applications that are scalable, resilient, and deliver real business value. Key Responsibilities Develop and deploy end-to-end AI-powered applications leveraging full-stack development best practices. Architect and integrate AI/ML models and pipelines using tools like LangChain, Hugging Face, OpenAI, and Anthropic Claude APIs. Design and implement microservices, RESTful APIs, and backend systems with scalability and maintainability in mind. Leverage cloud platforms (AWS, Azure, GCP) for hosting, automation, and scaling services. Integrate CI/CD pipelines to ensure smooth and frequent deployment cycles. Collaborate with cross-functional teams to translate business requirements into technical solutions. Apply techniques such as content chunking, vector search, embedding models, and retrievers to build advanced AI retrieval systems. Ensure robust architecture that can withstand variable load conditions, focusing on fault tolerance and high availability. Maintain documentation and adhere to best practices in software development and AI model integration. Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of hands-on experience in AI engineering and full-stack development. Strong proficiency with AI/ML tools including LangChain, Hugging Face, OpenAI, and Claude APIs. Deep understanding of vector databases, retrievers, and modern NLP workflows. Proficient in one or more full-stack frameworks (e.g., Node.js, Django, React, Angular). Experience with cloud platforms (AWS, Azure, GCP) and infrastructure automation tools (e.g., Terraform, CloudFormation). Solid experience with CI/CD pipelines, GitOps, and container orchestration (e.g., Docker, Kubernetes). Proven ability to architect resilient systems and optimize performance under fluctuating workloads. Preferred Skills Knowledge of prompt engineering and LLM fine-tuning techniques. Familiarity with DevSecOps practices and AI compliance requirements. Exposure to multimodal models and real-time inference systems. What We Offer Opportunity to work on cutting-edge AI products and tools. Collaborative and inclusive team environment. Flexible work schedule and remote work options. Competitive salary and performance bonuses. 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 : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - HurixDigital) What do you need for this opportunity? Must have skills required: Golang, Anguar, AWS HurixDigital is Looking for: Job Summary We are seeking a highly skilled and innovative AI Engineer with Full Stack capabilities to join our dynamic team. The ideal candidate will bring a strong blend of expertise in artificial intelligence, modern software engineering practices, and cloud infrastructure. You will be responsible for designing, developing, and deploying intelligent applications that are scalable, resilient, and deliver real business value. Key Responsibilities Develop and deploy end-to-end AI-powered applications leveraging full-stack development best practices. Architect and integrate AI/ML models and pipelines using tools like LangChain, Hugging Face, OpenAI, and Anthropic Claude APIs. Design and implement microservices, RESTful APIs, and backend systems with scalability and maintainability in mind. Leverage cloud platforms (AWS, Azure, GCP) for hosting, automation, and scaling services. Integrate CI/CD pipelines to ensure smooth and frequent deployment cycles. Collaborate with cross-functional teams to translate business requirements into technical solutions. Apply techniques such as content chunking, vector search, embedding models, and retrievers to build advanced AI retrieval systems. Ensure robust architecture that can withstand variable load conditions, focusing on fault tolerance and high availability. Maintain documentation and adhere to best practices in software development and AI model integration. Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of hands-on experience in AI engineering and full-stack development. Strong proficiency with AI/ML tools including LangChain, Hugging Face, OpenAI, and Claude APIs. Deep understanding of vector databases, retrievers, and modern NLP workflows. Proficient in one or more full-stack frameworks (e.g., Node.js, Django, React, Angular). Experience with cloud platforms (AWS, Azure, GCP) and infrastructure automation tools (e.g., Terraform, CloudFormation). Solid experience with CI/CD pipelines, GitOps, and container orchestration (e.g., Docker, Kubernetes). Proven ability to architect resilient systems and optimize performance under fluctuating workloads. Preferred Skills Knowledge of prompt engineering and LLM fine-tuning techniques. Familiarity with DevSecOps practices and AI compliance requirements. Exposure to multimodal models and real-time inference systems. What We Offer Opportunity to work on cutting-edge AI products and tools. Collaborative and inclusive team environment. Flexible work schedule and remote work options. Competitive salary and performance bonuses. 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 : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - HurixDigital) What do you need for this opportunity? Must have skills required: Golang, Anguar, AWS HurixDigital is Looking for: Job Summary We are seeking a highly skilled and innovative AI Engineer with Full Stack capabilities to join our dynamic team. The ideal candidate will bring a strong blend of expertise in artificial intelligence, modern software engineering practices, and cloud infrastructure. You will be responsible for designing, developing, and deploying intelligent applications that are scalable, resilient, and deliver real business value. Key Responsibilities Develop and deploy end-to-end AI-powered applications leveraging full-stack development best practices. Architect and integrate AI/ML models and pipelines using tools like LangChain, Hugging Face, OpenAI, and Anthropic Claude APIs. Design and implement microservices, RESTful APIs, and backend systems with scalability and maintainability in mind. Leverage cloud platforms (AWS, Azure, GCP) for hosting, automation, and scaling services. Integrate CI/CD pipelines to ensure smooth and frequent deployment cycles. Collaborate with cross-functional teams to translate business requirements into technical solutions. Apply techniques such as content chunking, vector search, embedding models, and retrievers to build advanced AI retrieval systems. Ensure robust architecture that can withstand variable load conditions, focusing on fault tolerance and high availability. Maintain documentation and adhere to best practices in software development and AI model integration. Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of hands-on experience in AI engineering and full-stack development. Strong proficiency with AI/ML tools including LangChain, Hugging Face, OpenAI, and Claude APIs. Deep understanding of vector databases, retrievers, and modern NLP workflows. Proficient in one or more full-stack frameworks (e.g., Node.js, Django, React, Angular). Experience with cloud platforms (AWS, Azure, GCP) and infrastructure automation tools (e.g., Terraform, CloudFormation). Solid experience with CI/CD pipelines, GitOps, and container orchestration (e.g., Docker, Kubernetes). Proven ability to architect resilient systems and optimize performance under fluctuating workloads. Preferred Skills Knowledge of prompt engineering and LLM fine-tuning techniques. Familiarity with DevSecOps practices and AI compliance requirements. Exposure to multimodal models and real-time inference systems. What We Offer Opportunity to work on cutting-edge AI products and tools. Collaborative and inclusive team environment. Flexible work schedule and remote work options. Competitive salary and performance bonuses. 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 : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - HurixDigital) What do you need for this opportunity? Must have skills required: Golang, Anguar, AWS HurixDigital is Looking for: Job Summary We are seeking a highly skilled and innovative AI Engineer with Full Stack capabilities to join our dynamic team. The ideal candidate will bring a strong blend of expertise in artificial intelligence, modern software engineering practices, and cloud infrastructure. You will be responsible for designing, developing, and deploying intelligent applications that are scalable, resilient, and deliver real business value. Key Responsibilities Develop and deploy end-to-end AI-powered applications leveraging full-stack development best practices. Architect and integrate AI/ML models and pipelines using tools like LangChain, Hugging Face, OpenAI, and Anthropic Claude APIs. Design and implement microservices, RESTful APIs, and backend systems with scalability and maintainability in mind. Leverage cloud platforms (AWS, Azure, GCP) for hosting, automation, and scaling services. Integrate CI/CD pipelines to ensure smooth and frequent deployment cycles. Collaborate with cross-functional teams to translate business requirements into technical solutions. Apply techniques such as content chunking, vector search, embedding models, and retrievers to build advanced AI retrieval systems. Ensure robust architecture that can withstand variable load conditions, focusing on fault tolerance and high availability. Maintain documentation and adhere to best practices in software development and AI model integration. Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of hands-on experience in AI engineering and full-stack development. Strong proficiency with AI/ML tools including LangChain, Hugging Face, OpenAI, and Claude APIs. Deep understanding of vector databases, retrievers, and modern NLP workflows. Proficient in one or more full-stack frameworks (e.g., Node.js, Django, React, Angular). Experience with cloud platforms (AWS, Azure, GCP) and infrastructure automation tools (e.g., Terraform, CloudFormation). Solid experience with CI/CD pipelines, GitOps, and container orchestration (e.g., Docker, Kubernetes). Proven ability to architect resilient systems and optimize performance under fluctuating workloads. Preferred Skills Knowledge of prompt engineering and LLM fine-tuning techniques. Familiarity with DevSecOps practices and AI compliance requirements. Exposure to multimodal models and real-time inference systems. What We Offer Opportunity to work on cutting-edge AI products and tools. Collaborative and inclusive team environment. Flexible work schedule and remote work options. Competitive salary and performance bonuses. 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