Job Title: EDI CLEO Specialist Experience: 5 to 8 Years Location: Remote Work Hours: Must have 3–4 hours overlap with US team Job Summary: We are seeking an experienced EDI CLEO Specialist with a strong background in logistics operations, systems, and processes . The ideal candidate will have in-depth knowledge of CLEO Integration Cloud , EDI standards , and data mapping , and should be comfortable working directly with clients and end customers. This role requires excellent communication, documentation, and problem-solving skills, along with a proactive approach to project delivery in a global environment. Key Responsibilities: Work as a subject matter expert (SME) on CLEO Integration Cloud and EDI solutions within the logistics domain. Gather and document business and technical requirements including functional specifications, process flows, data mapping , and system integrations . Facilitate communication and collaboration with clients, stakeholders, and internal teams to ensure smooth project execution. Monitor EDI transactions and resolve issues related to data transmission, translation, and integration. Provide recommendations for process improvements and automation opportunities based on logistics domain expertise. Manage project deliverables, track progress, and identify potential risks with mitigation strategies. Collaborate within Agile/Scrum teams and contribute to sprint planning, retrospectives, and daily stand-ups. Required Skills & Qualifications: 5 to 8 years of experience in EDI integration and CLEO tools (CIC, Clarify, VLTrader, Harmony, etc.) Strong understanding of logistics operations, systems , and domain processes (e.g., shipping, warehousing, transportation). Experience with common logistics EDI formats such as EDIFACT, ANSI X12 (e.g., 940, 945, 850, 856, 810, etc.) Excellent documentation skills — ability to create functional specs, process flow diagrams, and data maps. Solid understanding of EDI specifications, data mapping, transformation logic , and integration points. Strong communication and stakeholder management skills. Ability to work independently and collaborate with distributed teams, including overlap with US-based teams (3–4 hours daily) . Familiarity with Agile/Scrum methodologies is a plus. Preferred Skills: Knowledge of scripting and data transformation languages used in CLEO (e.g., JavaScript, XPath, SQL). Exposure to supply chain management tools or TMS/WMS platforms. Experience in client-facing roles in multinational logistics or supply chain projects. Show more Show less

Company Description MindBrain seamlessly integrates innovation, education, and workforce solutions to shape the future of technology. They are dedicated to nurturing talent through comprehensive IT and non-IT training and connecting businesses with the right talent through strategic resource augmentation. Role Description This is a contract remote role for a Senior Generative AI Engineer at MindBrain. The Senior Generative AI Engineer will be responsible for developing and implementing AI algorithms, collaborating with cross-functional teams, and driving innovation in AI technologies. Qualifications Experience in developing AI algorithms and models Proficiency in machine learning and deep learning techniques Strong programming skills in languages such as Python, TensorFlow, and PyTorch Ability to work collaboratively in cross-functional teams Excellent problem-solving and analytical skills Experience in the technology or software industry Master's or Ph.D. in Computer Science, Artificial Intelligence, or related field Show more Show less

Job Title: .NET with Azure Integration Developer Experience: 3 to 5 Years Location: Remote Working Hours: UK Business Hours Job Description We are looking for a skilled and motivated .NET with Azure Integration Developer to join our dynamic team. The ideal candidate should have hands-on experience in developing and integrating applications using .NET technologies and Microsoft Azure services. You will be responsible for designing, implementing, and maintaining integration solutions that meet business and technical requirements. Key Responsibilities Design, develop, and maintain integration solutions using .NET and Azure services. Build and manage REST APIs using .NET Core and Azure API Management (APIM). Implement Azure Logic Apps and Azure Functions for business workflows and event-driven processes. Utilize Azure Service Bus for messaging and application decoupling. Handle data storage and processing using Azure Storage Account and SQL. Ensure robust error handling, monitoring, and logging within integration components. Collaborate with cross-functional teams to gather requirements and deliver scalable integration solutions. Work within UK business hours and participate in regular stand-ups and meetings. Write clear, maintainable, and well-documented code. Mandatory Skills Proficiency in .NET and REST API development. Strong experience with Azure Logic Apps , Azure Functions , Azure Service Bus , and Azure API Management (APIM) . Working knowledge of Azure Storage Account and SQL Server . Experience in system integration and working with distributed systems. Good understanding of cloud-native design patterns . Desired Skills Knowledge of DevOps practices using Azure DevOps or GitHub Actions. Experience with other Azure services like Key Vault, App Services, or Event Grid. Familiarity with CI/CD pipelines and Infrastructure as Code (IaC). Soft Skills Excellent communication and interpersonal skills. Strong analytical and problem-solving abilities. Ability to work independently and collaboratively in a remote/distributed team. Show more Show less

Job Title : Senior AI/ML Engineer Experience : 5+ Years Location : Remote Job Type - Contractual Job Summary: We are seeking a highly motivated and experienced Senior AI/ML Engineer to join our remote team. In this role, you will design, develop, and deploy cutting-edge AI and machine learning solutions across cloud platforms. The ideal candidate has a passion for innovation, stays up to date with the latest developments in AI, and has hands-on experience with modern AI/ML tools, libraries, and agentic workflows. You will work closely with cross-functional teams to solve complex business problems and drive intelligent automation and decision-making. Key Responsibilities: AI/ML Model Development : Design, build, and deploy robust, scalable machine learning and deep learning models using Python, SQL, NoSQL, and standard ML libraries (e.g., Pandas, Scikit-learn, PyTorch, TensorFlow). Cloud Integration : Leverage cloud-based platforms such as AWS (SageMaker, Bedrock), GCP (Vertex AI, Gemini), Azure AI Studio, and OpenAI to develop and manage end-to-end AI/ML solutions. Model Deployment & Lifecycle Management : Automate deployment pipelines and monitor ML models in production for performance, drift, and retraining needs. Fine-Tuning & Customization : Fine-tune foundation models and LLMs for domain-specific applications using techniques like transfer learning, LoRA, and prompt engineering. Agentic AI Workflows : Implement and optimize agentic workflows involving task-oriented agents and multi-step reasoning pipelines. Architecture & Optimization : Architect data-driven solutions by applying advanced ML, statistical modeling, and deep learning techniques to solve real-world business challenges. Research & Innovation : Stay current with the latest advancements in AI, including GenAI, multi-modal models, RLHF, and experiment with new frameworks and technologies. Cross-Functional Collaboration : Work closely with data scientists, data engineers, product managers, and business stakeholders to translate business requirements into technical solutions. Required Skills & Qualifications: Programming : Expert-level proficiency in Python and SQL; experience working with NoSQL databases. ML/DL Libraries : Strong hands-on experience with Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch. Cloud Platforms : Proven experience with at least one major cloud provider (AWS/GCP/Azure), especially with ML tools like SageMaker, Vertex AI, Bedrock, Azure AI Studio, or OpenAI. Model Deployment : Experience with building, deploying, and monitoring models in production environments. LLMs & Fine-Tuning : Practical experience fine-tuning and integrating large language models (LLMs) using HuggingFace, LangChain, etc. Agentic AI : Experience with autonomous agents, LangChain Agents, AutoGPT, or similar agentic frameworks. Data Engineering : Ability to work with structured and unstructured data, data preprocessing, feature engineering, and pipeline creation. Soft Skills : Strong communication, collaboration, and problem-solving skills; ability to thrive in a fast-paced remote environment. Preferred Qualifications: Experience with RESTful APIs, Docker, and MLOps tools. Familiarity with generative AI tools and multimodal systems. Understanding of CI/CD for ML pipelines and model monitoring. Contributions to open-source AI/ML projects or published research. Why Join Us? Remote-first culture and flexible work hours Opportunity to work with the latest AI/ML technologies Challenging projects with global clients Competitive compensation and benefits Learning-centric environment with access to cloud credits, courses, and conferences Show more Show less

Company Description MindBrain is a dynamic software company that integrates innovation, education, and strategic workforce solutions. As pioneers in cutting-edge solutions, we shape the future of technology. Our dedication to education empowers individuals with the skills needed to lead in a rapidly evolving landscape. We also connect businesses with the right talent at the right time to drive success through impactful collaborations. Role Description This is a contract remote role for a Senior Python Developer at MindBrain. The Senior Python Developer will be responsible for back-end web development, software development, object-oriented programming (OOP), programming, and databases. Qualifications Fluency in Python and SQL and noSQL is essential. Experience with common data science libraries such as pandas and Scikit-learn, as well as deep learning frameworks like PyTorch and TensorFlow, is required. Hands-on experience with cloud-based AI/ML platforms and tools, such as AWS (SageMaker, Bedrock), GCP (Vertex AI, Gemini), Azure AI Studio, or OpenAI, is a must. This includes experience with deploying and managing models in the cloud. Experience with fine tuning models with different technologies. Experience with Agentic AI workflows. Hungry to learn and stay adopt with all the advancements in AI world Architect robust and scalable AI solutions that enable data-driven decision-making, leveraging a deep understanding of statistical modeling, machine learning, and deep learning techniques to forecast business outcomes and optimize performance. Show more Show less

Company Description At MindBrain, we seamlessly integrate innovation, education, and strategic workforce solutions. We are architects of innovation, shaping the future of technology through cutting-edge solutions. Our focus on education empowers individuals with the skills needed to thrive and lead in a rapidly evolving landscape. MindBrain serves as a catalyst of change in the workforce domain, connecting businesses with the right talent for success. Role Description This is a contract remote role for a Senior Generative AI Engineer at MindBrain. The Senior Generative AI Engineer will be responsible for developing and implementing generative AI models, collaborating with cross-functional teams to optimize AI algorithms, and researching and implementing the latest AI technologies. Qualifications Experience in developing and implementing generative AI models Strong skills in AI algorithms optimization Proficiency in researching and implementing the latest AI technologies Experience working with cross-functional teams Excellent problem-solving and analytical skills Advanced degree in Computer Science, Artificial Intelligence, or related field Knowledge of machine learning frameworks such as TensorFlow or PyTorch Experience with software development and programming languages like Python Show more Show less

Job Title: MLOps Engineer (Remote) Experience: 5+ Years Location: Remote Type: Full-time About the Role: We are seeking an experienced MLOps Engineer to design, implement, and maintain scalable machine learning infrastructure and deployment pipelines. You will work closely with Data Scientists and DevOps teams to operationalize ML models, optimize performance, and ensure seamless CI/CD workflows in cloud environments (Azure ML/AWS/GCP). Key Responsibilities: ✔ ML Model Deployment: Containerize ML models using Docker and deploy on Kubernetes Build end-to-end ML deployment pipelines for TensorFlow/PyTorch models Integrate with Azure ML (or AWS SageMaker/GCP Vertex AI) ✔ CI/CD & Automation: Implement GitLab CI/CD pipelines for automated testing and deployment Manage version control using Git and enforce best practices ✔ Monitoring & Performance: Set up Prometheus + Grafana dashboards for model performance tracking Configure alerting systems for model drift, latency, and errors Optimize infrastructure for scalability and cost-efficiency ✔ Collaboration: Work with Data Scientists to productionize prototypes Document architecture and mentor junior engineers Skills & Qualifications: Must-Have: 5+ years in MLOps/DevOps, with 6+ years total experience Expertise in Docker, Kubernetes, CI/CD (GitLab CI/CD), Linux Strong Python scripting for automation (PySpark a plus) Hands-on with Azure ML (or AWS/GCP) for model deployment Experience with ML model monitoring (Prometheus, Grafana, ELK Stack) Nice-to-Have: Knowledge of MLflow, Kubeflow, or TF Serving Familiarity with NVIDIA Triton Inference Server Understanding of data pipelines (Airflow, Kafka) Why Join Us? 💻 100% Remote with flexible hours 🚀 Work on cutting-edge ML systems at scale 📈 Competitive salary + growth opportunities Show more Show less

Job Title: Generative AI Engineer Location: Remote Experience: 4 to 7 Years Job type - Contractual About the Role: We are seeking talented and experienced Generative AI Engineers to join our growing remote team. In this role, you will be responsible for designing, developing, and deploying cutting-edge generative AI solutions using modern frameworks and LLM ecosystems. You’ll collaborate with cross-functional teams to build intelligent, scalable, and production-ready systems. Key Responsibilities: Design and develop microservice-based applications for AI use cases using Python and FastAPI Build and deploy LLM-based chatbots using GPT-4 , LangChain , and Azure OpenAI services Develop and maintain retrieval-augmented generation (RAG) pipelines using ChromaDB for document-based Q&A systems Integrate solutions with Azure AI tools and services for scalable deployment Implement effective prompt engineering techniques to optimize LLM performance Collaborate with DevOps and product teams to ensure high-quality delivery and reliability of AI solutions Optional: Work with LangGraph for advanced workflow orchestration in LangChain Required Skills & Qualifications: 4–7 years of overall experience in AI/ML, with at least 2 years in Generative AI Strong proficiency in Python and FastAPI Hands-on experience with GPT-4 , LangChain , and Azure OpenAI Experience working with ChromaDB or other vector databases Proven experience in microservices architecture and deployment Solid understanding of prompt engineering and chatbot development Strong debugging and problem-solving skills Nice to Have: Experience with LangGraph for managing complex LangChain workflows Familiarity with MLOps and CI/CD pipelines for AI model deployment What We Offer: Competitive compensation 100% remote working opportunity Work on state-of-the-art AI projects with a skilled and passionate team Opportunity to grow and learn in the rapidly evolving GenAI landscape Show more Show less

Required Experience and Qualifications: Minimum 4 years of experience as a Business Analyst, with at least 2+ years in Azure Data Engineering projects Good to have knowledge of: Azure Data Factory Azure Databricks Azure SQL Database Other Azure data services Strong analytical and problem-solving skills with the ability to work in fast-paced, dynamic environments Familiarity with ETL pipelines, data modeling, and data warehousing concepts Excellent verbal and written communication skills Demonstrated ability to collaborate across business and technical teams Understanding of data governance and data quality best practices Preferred Skills: Exposure to other cloud platforms Familiarity with modern data engineering tools and frameworks SQL Show more Show less

Company Description At MindBrain, we are a dynamic software company that integrates innovation, education, and workforce solutions. We pioneer cutting-edge solutions, provide comprehensive IT and non-IT training, and connect businesses with the right talent at the right time. MindBrain is a living ecosystem where software innovation, educational excellence, and workforce solutions converge to shape the future of technology, knowledge, and business collaborations. Role Description This is a contract remote role for a ServiceNow IRSM/ITOM Specialist at MindBrain. The specialist will be responsible for day-to-day tasks related to ServiceNow Incident Resolution and Service Mapping/Discovery. They will work on configuring the ServiceNow platform, managing incidents, and ensuring smooth IT operations. Qualifications Experience with ServiceNow Incident Resolution Proficiency in Service Mapping/Discovery IT Operations Management skills Strong analytical and problem-solving abilities Excellent communication and collaboration skills Ability to work independently and remotely ServiceNow certification is a plus Bachelor's degree in Computer Science, Information Technology, or related field Show more Show less

Company Description MindBrain seamlessly integrates innovation, education, and strategic workforce solutions. As software architects, we shape the future of technology with cutting-edge solutions. Our dedication to education empowers talent through comprehensive training, fostering leadership in a rapidly evolving landscape. We are catalysts of change, connecting businesses with the right talent for success. Role Description This is a contract remote role for a Senior Data Scientist at MindBrain. The Senior Data Scientist will be responsible for data science, statistics, data analytics, data visualization, and data analysis tasks on a daily basis. Qualifications Data Science, Statistics, and Data Analytics skills Data Visualization and Data Analysis skills Experience in developing and implementing machine learning models Proficiency in programming languages such as Python and R Strong analytical and problem-solving skills Ability to work independently and remotely Master's or Ph.D. in Data Science, Computer Science, Statistics, or related field Show more Show less

Company Description MindBrain is a dynamic software company that integrates innovation, education, and workforce solutions. As pioneers in cutting-edge solutions, we shape the future of technology. We are also a leading educational hub dedicated to empowering individuals with the skills they need to thrive and lead in a rapidly evolving landscape. Role Description This is a remote contract role for a Senior .NET Engineer (ABP.io) at MindBrain. The Senior .NET Engineer will be responsible for Object-Oriented Programming (OOP), Software Development, .NET Core, Programming, and ASP.NET MVC. Qualifications Proficiency in Object-Oriented Programming (OOP) and Software Development Experience with .NET Core and ASP.NET MVC Strong programming skills Bachelor's degree in Computer Science or related field Excellent problem-solving abilities Ability to work independently and remotely Experience in Agile development practices is a plus Show more Show less

Company Description At MindBrain, we are architects of innovation, a dynamic software company shaping the future of technology. We are also a leading educational hub dedicated to empowering individuals with the skills they need to thrive in a rapidly evolving landscape. Additionally, we are catalysts of change in the workforce domain, connecting businesses with the right talent at the right time to drive success through meaningful collaborations. Job Overview We are seeking a skilled and motivated IX-API Developer to join our engineering team. The ideal candidate will have strong experience developing and integrating IX-API-based solutions, with a comprehensive understanding of internet exchange (IX) operations, network automation, and API-driven architectures. You will be instrumental in creating scalable, efficient systems that support our evolving network infrastructure and service delivery platforms. Key Responsibilities: Design, build, and maintain IX-API-based applications for internet exchange platforms. Integrate IX-API with both internal systems and third-party services. Collaborate with network engineering and DevOps teams to automate provisioning and configuration tasks. Ensure IX-API implementations conform to industry standards and best practices. Troubleshoot and resolve technical issues related to API integrations and performance. Develop and maintain comprehensive documentation, including API specifications and integration workflows. Participate in code reviews, testing, and deployment processes. Required Skills & Qualifications: Proven hands-on experience with IX-API development and integration. Strong coding skills in Python, Go, or JavaScript. Deep understanding of RESTful APIs, JSON, and OpenAPI specifications. Solid knowledge of internet exchange operations, BGP routing, and IP networking. Experience with CI/CD tools like Jenkins, GitLab CI, or similar. Proficiency in network automation tools (e.g., Ansible, Terraform). Strong analytical and communication skills with the ability to work independently. Preferred Qualifications: Familiarity with EVPN, VXLAN, or other modern networking protocols. Contributions to open-source IX-API projects or active community involvement. Experience with Docker, Kubernetes, and microservices architecture. Exposure to cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). Show more Show less

Responsibilities: Architect, build, and scale backend services using Node.js and TypeScript , deployed via Google Cloud Platform (GCP), including Firebase and Cloud Run . Design and maintain real-time AI data pipelines integrating biometric wearables, electronic health records, and live voice interactions. Optimize performance and data processing pipelines for biometric signals (heart rate, sleep data, blood pressure, etc.). Integrate with AI services such as OpenAI and LiveKit to support real-time voice interactions. Develop and maintain secure, HIPAA-compliant API endpoints for sensitive medical and biometric data. Collaborate with frontend developers, AI engineers, and designers to bring OmegaX’s product vision to life. Drive decisions around infrastructure, performance optimization, and scalability. Requirements: 4+ years of experience in backend development using Node.js and TypeScript . Proven experience with Google Cloud Platform services such as Firebase, Cloud Run, or Compute Engine. Strong understanding of real-time systems , WebSockets , and optimizing API response times for voice and live interactions. Proficiency in databases such as Firestore , PostgreSQL , or NoSQL alternatives. Experience designing or working with event-driven architectures and real-time APIs . Deep understanding of data security , authentication , and privacy protocols , particularly for healthcare systems (HIPAA, GDPR). Startup mindset: adaptable, collaborative, and energized by ambitious roadmaps. Strong communication skills and a passion for building impactful healthcare solutions powered by AI. Nice to Have: Hands-on experience with LiveKit , OpenAI APIs , or other real-time conversational AI tools. Familiarity with Web3 technologies, such as Solana , smart contracts , DAO governance , or zero-knowledge proofs (ZKPs) . Prior experience handling medical data in compliance with privacy regulations (HIPAA, GDPR). Interest in reshaping the healthcare experience through intelligent, real-time, patient-centric technologies. Show more Show less

Company Description At MindBrain, we are a dynamic software company that integrates innovation, education, and strategic workforce solutions. We nurture talent through comprehensive IT and non-IT training, empowering individuals to lead in a rapidly evolving landscape. Our team pioneers cutting-edge solutions, pushing the boundaries of what's possible in technology and education. We connect businesses with the right talent at the right time, driving success through collaborations that make a lasting impact. Role Description This is a contract remote role for a Senior Node Js Developer at MindBrain. The Senior Node Js Developer will be responsible for front-end and back-end web development, software development, and utilizing JavaScript and Redux.js in day-to-day tasks. Qualifications Front-End Development and Back-End Web Development skills Software Development expertise Proficiency in Node.js and Typescript Experience with developing complex applications and systems Strong problem-solving and analytical skills Ability to work independently and in a remote team environment Bachelor's degree in Computer Science, Engineering, or related field Show more Show less

Company Description At MindBrain, we integrate innovation, education, and strategic workforce solutions to shape the future of technology. Our core focus is on software innovation, providing cutting-edge solutions to push boundaries. We are also a leading educational hub dedicated to nurturing talent through comprehensive IT and non-IT training. Additionally, we connect businesses with the right talent through strategic resource augmentation to drive lasting impact. Role Description This is a full-time on-site role located in Hyderabad for a Senior Quality Assurance Automation Engineer at MindBrain. The role entails tasks such as overseeing quality assurance processes, creating and executing test cases, manual testing, software testing, and QA automation to ensure product quality and reliability. Qualifications Quality Assurance and Software Testing skills Experience in creating and executing test cases Proficiency in manual testing Knowledge of QA Automation Strong analytical and problem-solving skills Excellent communication and teamwork abilities Bachelor's degree in Computer Science or related field Show more Show less

📌 Job Description – Automation QA 📅 Date of Requirement: 17th June 2025 🏢 Reporting To: QA Manager 📍Location: Hyderabad 👥 Direct Reports: None ⏰ Employment Type: [Full-time / Contract – Add as applicable] Role Summary As an Automation QA, you will play a crucial role in ensuring software quality, helping the business gain confidence in product functionality and performance. You will collaborate with cross-functional teams globally to verify system functionality and deliver high-quality solutions that meet customer needs. This position demands a sense of urgency, ownership, and the ability to work independently with minimal supervision. Key Responsibilities Perform Build Verification Testing (BVT) , regression testing , and feature testing . Develop and maintain automated test scripts for regression and feature validation using tools like TOSCA , Selenium , and Postman . Create and maintain reusable test data and regression test suites. Document test results and generate status reports. Convert business requirements and design documents into effective test cases and test scripts using Zephyr . Identify, log, and manage defects throughout their lifecycle. Ensure all development tasks meet defined quality standards through detailed planning and execution. Conduct root cause analysis of defects and suggest viable solutions. Collaborate closely with developers , business analysts , and QA teams across regions. Maintain detailed documentation of the testing process, evaluations, and improvements. Required Skills & Qualifications Experience: 6+ years in software testing with a strong focus on automation . Programming: Proficiency in Java , Python , or JavaScript . Automation Tools: Hands-on experience with TOSCA , Selenium , Jenkins , and Postman . Testing Tools: Experience with Zephyr for test management. Database Skills: Strong knowledge of SQL and experience working with relational databases. Certifications: ISTQB or equivalent certification preferred. Agile: Exposure to or experience working in Agile/Scrum environments. Strong analytical , problem-solving , and communication skills. Key Attributes for Success Strong commitment to delivering high-quality work. Ability to understand business context, especially in financial services . Effective team collaboration and independent problem-solving. Good time management and ability to meet tight deadlines. Professional demeanor with a dedication to continuous learning and excellence. Cultural Fit: Our Values in Action Wonder What If Embrace innovation and continuous improvement. Seek diverse opinions and challenge assumptions. Solve problems, don’t just raise them. We’re Good Eggs Take ownership of performance, mistakes, and learning. Provide and act on feedback. Strive for outcomes that benefit everyone. Human. Kind Show kindness, gratitude, and inclusivity. Build strong relationships with empathy and respect. Communicate to uplift and motivate. We All Add Up Value diversity of thought and perspective. Share knowledge freely and support team success. Support collective decisions and mutual priorities. Show more Show less

Job Title: Java Architect Experience Required: 12+ Years Shift Timing: 2:00 PM – 11:00 PM IST Location: Employment Type: Contractual Immediate Joiners Preferred Job Summary: We are seeking a highly experienced Java Architect with 12+ years of strong hands-on experience in designing and developing scalable Java-based solutions. The ideal candidate must have a solid background in software architecture, AWS cloud services, and database design with Postgres. Additionally, experience with Angular is essential. This is a hybrid role involving both technical leadership and hands-on coding responsibilities. Key Responsibilities: Lead the architecture, design, and development of scalable and secure enterprise-grade Java applications. Make key architectural decisions in collaboration with stakeholders, including microservices architecture, integration patterns, and deployment strategies. Work closely with cross-functional teams including product owners, developers, and QA to define system requirements and design specifications. Build and maintain reusable code, libraries, and components for future use. Conduct design/code reviews and enforce best practices in coding, testing, and deployment. Own the end-to-end technical delivery of projects, including infrastructure setup and CI/CD pipelines. Guide and mentor junior developers and act as a subject matter expert in Java and system design. Participate in client calls, provide technical leadership, and influence architectural direction. Mandatory Skills: 12+ years of experience in Java/J2EE development Strong experience in designing scalable architectures using Java (Spring Boot, Microservices) Cloud expertise – hands-on with AWS services (EC2, Lambda, S3, API Gateway, etc.) Experience with PostgreSQL – schema design, performance tuning, and advanced querying Strong proficiency with front-end frameworks – primarily Angular Expertise in RESTful API development and integration Familiarity with CI/CD pipelines, Git, Jenkins, Docker, and containerization practices Excellent problem-solving, debugging, and analytical skills Strong communication skills – both verbal and written Experience working in Agile/Scrum environments Preferred Skills: Exposure to other frontend technologies (React, TypeScript) Knowledge of Kubernetes, Terraform, or CloudFormation Experience with performance testing and monitoring tools (New Relic, Dynatrace, etc.) Previous experience in client-facing roles or technical leadership positions Show more Show less

Job Title: AWS DevOps Engineer Experience: 6+ Years Location: Pune / Hyderabad (Onsite) Employment: Fulltime Job Summary: We are seeking a skilled and experienced AWS Engineer to join our DevOps team. The ideal candidate will have a strong background in AWS cloud services, Infrastructure as Code (IaC) with Terraform, and hands-on experience in automation and CI/CD pipeline management. This role requires proficiency in DevOps tools and scripting to drive efficiency, scalability, and reliability across development and deployment processes. Key Responsibilities: Design, implement, and manage AWS infrastructure using Terraform (IaC). Develop and maintain CI/CD pipelines using Jenkins (Groovy scripting) and integrate with Git and Maven. Automate system configuration and deployment using Ansible. Build reusable scripts and automation tools using Python and Shell scripting. Manage containerized workloads on Kubernetes (EKS preferred). Collaborate with developers, QA, and release teams to improve software delivery. Monitor and ensure system reliability, scalability, and performance. Troubleshoot infrastructure and application issues in real-time environments. Enforce DevOps best practices and security guidelines across all stages of development. Key Skills Required: Cloud: AWS (EC2, S3, IAM, VPC, Lambda, CloudWatch, etc.) IaC: Terraform CI/CD: Jenkins (Groovy), Git, Maven Configuration Management: Ansible Scripting: Python, Shell Scripting Containerization & Orchestration: Docker, Kubernetes (EKS) Version Control: Git DevOps Tools & Practices: End-to-end CI/CD, automated deployments, monitoring Preferred Qualifications: AWS Certification (e.g., AWS Certified DevOps Engineer or Solutions Architect) is a plus. Experience working in Agile environments. Strong problem-solving and communication skills.

Job Title: Data Scientist – Demand Forecasting Location: Remote Experience Level: 4–7 Years Employment Type: Contractual About the Role We are seeking a skilled and data-driven Data Scientist – Demand Forecasting to join our analytics team. In this role, you will be responsible for designing and implementing scalable, data-informed solutions that guide critical business decisions, including inventory management, workforce planning, and financial forecasting. You will collaborate closely with cross-functional teams, applying your expertise in machine learning and statistical modeling to optimize forecasting accuracy and business efficiency. The ideal candidate is curious, analytical, and a strong communicator who thrives on translating complex data into actionable insights. Key Responsibilities Develop and enhance demand forecasting models using machine learning and statistical techniques. Work closely with engineering, supply chain, and business stakeholders to deliver data-driven forecasting solutions. Conduct feature engineering, hyperparameter tuning, and rigorous model evaluation. Use Python and SQL to build and maintain reproducible, scalable code for data analysis and model deployment. Run experiments to test forecasting improvements and validate model performance with historical and real-time data. Translate technical concepts and model behavior into clear, actionable insights for non-technical stakeholders. Support deployment of algorithms into production systems and build data pipelines for automation. Continuously explore new data sources and methodologies to improve forecast accuracy. Communicate findings and recommendations through dashboards, presentations, and reports. Travel up to 20% internationally, if required. Required Qualifications Master’s degree in a quantitative field (e.g., Data Science, Statistics, Mathematics, Physics, Computer Science, or Engineering). 4–7 years of hands-on experience in data science, analytics, or a similar analytical role. Proficiency in Python (Pandas, NumPy, Scikit-learn, etc.) and SQL; experience with big data tools (e.g., Hadoop, Hive, Spark, or Scala) is a plus. Strong grasp of time-series forecasting techniques and statistical modeling. Solid skills in feature engineering, model evaluation, and hyperparameter optimization. Experience building production-ready, maintainable, and tested code. Ability to clearly communicate data assumptions, modeling approaches, and findings to both technical and non-technical stakeholders. Knowledge of data pipelines and integrating ML models into production systems. Collaborative mindset with strong problem-solving skills and the ability to work independently. Preferred Qualifications Experience in supply chain or logistics-related forecasting. Strong communication and stakeholder management skills. Familiarity with data visualization tools and libraries (e.g., Matplotlib, Seaborn, Plotly, Power BI, Tableau). Knowledge of Microsoft Azure cloud platform. Experience designing and building APIs for model integration. Why Join Us? Work on impactful, real-world business challenges. Join a collaborative and forward-thinking team. Enjoy flexibility with remote working options. Engage in continuous learning and cross-domain exposure.