About The Role Responsibilities - Design, develop, and maintain robust and scalable iOS applications using Swift. - Implement complex UI/UX designs and ensure seamless user interactions. - Write clean, efficient, and well-documented code. - Implement and utilize design patterns and architectures such as MVVM, MVP, and Clean methodologies. - Ensure code maintainability and scalability.- Develop and implement iOS, iPadOS, and Apple Watch Extensions.- Automate Unit/UI tests to ensure code quality.- Debug and resolve complex technical issues.- Utilize Xcode Instruments to identify and address performance bottlenecks.- Integrate and utilize CI/CD platforms such as Bitrise or CircleCI.- Implement automation using Fastlane and other relevant tools.- Integrate Analytics SDKs and build abstraction layers.- Utilize CoreData for data management.- Implement reactive programming using RxSwift.- Develop and integrate App Extensions (Widgets, Rich Notifications, etc.- Optimize app performance, including launch time and app size reduction.- Manage the complete iOS app delivery process, including certificates, provisioning profiles, and authentication keys.Qualifications :Experience :- 5+ years of software development or programming experience, with a focus on iOS development.Technical Skills :- Strong understanding of computer architecture, operating systems, data structures, and algorithms.- Extensive hands-on experience in iOS application development using Swift.- Deep understanding of design patterns and architectures (MVVM, MVP, Clean).- Working knowledge of iOS/iPadOS/Apple Watch Extensions.- Experience with automated Unit/UI testing.- Familiarity with CI/CD platforms (Bitrise, CircleCI).- Experience with Fastlane and other automation tools.- Proficiency in integrating Analytics SDKs.- Experience with CoreData, RxSwift, and App Extensions.- Proficiency in using Xcode Instruments for performance analysis.- Strong understanding of iOS app delivery processes.- Strong attention to detail.Preferred Qualifications :- Contributions to open-source iOS projects.- Experience leading a team of iOS developersApplyInsightsFollow-upSave this job for future referenceDid you find something suspiciousReport Here! Hide This JobClick here to hide this job for you. You can also choose to hide all the jobs from the recruiter.
About The Role : Responsibilities : - Develop and maintain iOS applications using Swift. - Implement UI/UX designs and ensure a smooth user experience. - Write clean, maintainable, and efficient code. - Work with RESTful APIs to integrate backend services. - Write unit tests to ensure code quality. - Debug and troubleshoot application issues. - Participate in code reviews. - Work closely with designers, backend developers, and product managers. - Communicate effectively with team members. - Participate in Agile development processes. - Stay up-to-date with the latest iOS development trends and technologies. - Continuously improve coding skills and knowledge. - Contribute to knowledge sharing within the team. - Understanding of the app store submission process. - Basic knowledge of certificates and provisioning profiles. Qualifications : Experience : - 2-4 years of professional experience in iOS development. Technical Skills : - Proficiency in Swift programming language. - Understanding of iOS SDK and frameworks. - Experience with RESTful APIs and JSON. - Knowledge of version control systems (Git). - Basic understanding of UI testing. Preferred Qualifications : - Experience with Core Data or other data persistence techniques. - Familiarity with RxSwift or other reactive programming frameworks. - Experience with CI/CD tools. - Knowledge of UI testing frameworks. Why Join Us - Opportunity to work on exciting and innovative iOS projects. - Collaborative and supportive team environment. - Opportunities for professional growth and development. - Competitive salary and1 benefits Apply Insights Follow-up Save this job for future reference Did you find something suspiciousReport Here! Hide This Job Click here to hide this job for you. You can also choose to hide all the jobs from the recruiter.
Responsibilities : As a Pyhton Backend Developer, your main responsibilities will include : - Develop, maintain, and optimize backend services using Django and FastAPI. - Design and implement RESTful and asynchronous APIs. - Work with databases (PostgreSQL/MySQL) and ORM frameworks. - Write clean, efficient, and reusable code following best practices. - Optimize application performance and scalability. - Integrate third-party APIs and external services. - Collaborate with frontend developers, designers, and other stakeholders. - Implement security and data protection solutions. - Write unit tests and ensure high code quality. Qualifications and Skills : To thrive in this role, you should have : - 5+ years of experience in Python backend development. - Strong proficiency in Django (DRF) and FastAPI. - Understanding of Microservices. - Experience with relational databases (PostgreSQL/MySQL) and ORM tools. - Familiarity with Docker, Celery, and Redis. - Knowledge of authentication and authorization (OAuth, JWT). - Experience with version control (Git) and CI/CD pipelines. - Good understanding of asynchronous programming and event-driven architecture. - Experience working with cloud services (AWS, GCP, or Azure) is a plus. - Strong problem-solving skills and attention to detail.
Responsibilities : - Design, develop, and maintain robust and scalable iOS applications using Swift. - Implement complex UI/UX designs and ensure seamless user interactions. - Write clean, efficient, and well-documented code. - Implement and utilize design patterns and architectures such as MVVM, MVP, and Clean methodologies. - Ensure code maintainability and scalability. - Develop and implement iOS, iPadOS, and Apple Watch Extensions. - Automate Unit/UI tests to ensure code quality. - Debug and resolve complex technical issues. - Utilize Xcode Instruments to identify and address performance bottlenecks. - Integrate and utilize CI/CD platforms such as Bitrise or CircleCI. - Implement automation using Fastlane and other relevant tools. - Integrate Analytics SDKs and build abstraction layers. - Utilize CoreData for data management. - Implement reactive programming using RxSwift. - Develop and integrate App Extensions (Widgets, Rich Notifications, etc. - Optimize app performance, including launch time and app size reduction. - Manage the complete iOS app delivery process, including certificates, provisioning profiles, and authentication keys. Qualifications : Experience : - 5+ years of software development or programming experience, with a focus on iOS development. Technical Skills : - Strong understanding of computer architecture, operating systems, data structures, and algorithms. - Extensive hands-on experience in iOS application development using Swift. - Deep understanding of design patterns and architectures (MVVM, MVP, Clean). - Working knowledge of iOS/iPadOS/Apple Watch Extensions. - Experience with automated Unit/UI testing. - Familiarity with CI/CD platforms (Bitrise, CircleCI). - Experience with Fastlane and other automation tools. - Proficiency in integrating Analytics SDKs. - Experience with CoreData, RxSwift, and App Extensions. - Proficiency in using Xcode Instruments for performance analysis. - Strong understanding of iOS app delivery processes. - Strong attention to detail. Preferred Qualifications : - Contributions to open-source iOS projects. - Experience leading a team of iOS developers
Key Responsibilities: - Design and develop scalable, resilient, and secure backend services using Java, Springboot, Spring framework and Microservices architecture. - Implement containerized applications using Kubernetes for orchestration and management. - Develop, deploy, and maintain applications on AWS Cloud, ensuring high availability and reliability. - Conduct performance analysis and optimization to improve system efficiency and responsiveness. - Collaborate closely with cross-functional teams including Product Management, UX/UI, and DevOps to deliver end-to-end solutions. - Partner with DevOps teams to operationalize the product deliveries - Technical hands-on experience with Microservices Architecture Style and the related patterns, where software is developed as small and independently deployable services that work together modeled around a business domain. - Manage diverse requirements, negotiate, and effectively articulate rationale and vision behind technical decisions that support the business. - Conduct code reviews, ensure code quality, and enforce coding standards and best practices. - Participate in architectural design discussions and propose solutions to complex technical challenges. - Troubleshoot issues, perform root cause analysis, and implement solutions in a timely manner. - Stay updated on emerging technologies and industry trends, and apply them to improve our products and processes Required Skills and Qualifications: - Proven experience (5+ years) as a Software Development Engineer with expertise in Java, Microservices, Kubernetes, AWS Cloud, and Performance Tuning. - Experience in decouple architecture development using middle ware (eg Kafka) - Exposure to relational and Non relational DBs ( eg Casandra, Elastic, Mongo DB etc) - Strong understanding of software architecture principles, design patterns, and best practices - Proficiency in building RESTful APIs and microservices architecture. - Familiarity with Agile development methodologies and CI/CD pipelines. - Hands-on experience with cloud-native development, CI/CD pipelines, and infrastructure as code (IaC). - Proficiency in troubleshooting and debugging complex issues in distributed systems. - Excellent communication, Analytical skills and ability to work effectively in a collaborative team environment. - Prior experience in [Ecommerce, Retail Domain] is a plus.
- 5+ years of software development or programming experience.- A thorough understanding of computer architecture, operating systems, data structures and algorithms.- Good hands-on experience of iOS application development using Swift Lang.- Experience in design patterns and architecture like MVVM, MVP with Clean methodologies is a must- Working knowledge of all the iOS/iPadOS/Apple Watch Extensions is big plus.- Working knowledge of automating Unit/UI tests is desirable.- Exposure to CI/CD platform like Bitrise, CircleCI, etc.- Exposure to Fastlane and other automation tools.- Experience in integrating Analytics SDKs and building abstraction layer would be a plus.- Experience in CoreData, RxSwift, App Extensions (Widgets, Rich Notification etc) would be a plus.- Experience in working with Xcode instruments to detect app performance issues.- Exposure to various app optimization techniques like launch time, app size reduction is a plus.- Strong understanding of complete iOS app delivery process including certificates, provisioning profiles and auth keys.
The Engineer plays a critical role in engineering teams, demonstrating strong technical skills, problem-solving abilities, and effective collaboration with team members to contribute to software development and innovation. This role focuses on designing, testing, and maintaining high-quality, scalable, and robust software components. It requires a solid technical foundation, creativity, and a collaborative mindset. Responsibilities include designing and developing software components, working closely with team members to deliver software projects, translating business requirements into technical solutions, improving existing codebases, participating in code reviews, troubleshooting technical issues, writing clean and well-documented code, engaging in the full software development lifecycle, and staying updated on new technologies and best practices. Additionally, participation in team meetings to provide project updates and insights is essential. This role is crucial for driving the development and maintenance of innovative software solutions, offering a challenging and rewarding environment for skilled software engineers to enhance their technical abilities and contribute significantly to important projects. Working as a Sr Engineer provides an excellent opportunity to collaborate with experienced professionals and engage with state-of-the-art technologies. Key Skills include expertise in Next.js 13+/14+ (App Router, Server Components, Data fetching patterns, API Routes, Middleware, Edge Runtime), advanced React knowledge (Hooks, Custom Hooks, Performance optimization, Component architecture, State management), TypeScript proficiency, modern CSS approaches (Tailwind CSS, CSS Modules, Styled Components), version control with Git, testing methodologies (Jest, React Testing Library, Cypress), CI/CD workflows, performance monitoring and optimization, web accessibility standards (WCAG), SEO best practices, API integration (REST, GraphQL), and state management solutions (Redux, Zustand, Jotai). Professional Requirements typically include 3+ years of experience in software development and demonstrated experience in developing scalable and reliable software solutions.,
The Engineer plays a critical role in the engineering teams by demonstrating strong technical skills, problem-solving abilities, and effective collaboration with team members to contribute to software development and innovation. The primary focus of this position is on developing, testing, and maintaining high-quality, scalable, and robust software products and solutions. To excel in this role, you need a solid technical foundation, creativity, and a collaborative mindset. Your responsibilities will include designing and developing high-quality software components, working collaboratively with team members to deliver software projects, translating business requirements into technical solutions, improving existing codebases, participating in code reviews, troubleshooting and resolving technical issues, writing clean and efficient code, engaging in the full software development lifecycle, and staying updated on new technologies and best practices in software development. Additionally, you will participate in team meetings to provide updates and insights on project progress. This role is crucial for driving the development and maintenance of innovative software solutions. It provides a challenging and rewarding environment for skilled software engineers to enhance their technical abilities and make significant contributions to important projects. Working as a Sr Engineer offers an excellent opportunity to collaborate with experienced professionals and engage with state-of-the-art technologies. Key Skills Required: - Next.js 13+/14+ expertise, including App Router, Server Components, Data fetching patterns, API Routes, Middleware, and Edge Runtime. - Advanced React knowledge, including Hooks and Custom Hooks, Performance optimization, Component architecture, and State management. - Proficiency in TypeScript. - Familiarity with modern CSS approaches such as Tailwind CSS, CSS Modules, and Styled Components. - Additional technical skills include Version control with Git, Testing methodologies (Jest, React Testing Library, Cypress), CI/CD workflows, Performance monitoring and optimization, Web accessibility standards (WCAG), SEO best practices, API integration (REST, GraphQL), and State management solutions (Redux, Zustand, Jotai). Professional Requirements: - Typically, 3+ years of experience in software development. - Demonstrated experience in developing scalable and reliable software solutions.,
About the Role We are seeking a motivated and technically skilled Data Scientist with 4+ years of experience in applying AI/ML techniques to solve real-world problems. The ideal candidate will possess a solid foundation in machine learning, statistical modeling, and data analysis, with hands-on experience working with large datasets and deploying models in production environments. Key Responsibilities: Design, develop, and deploy machine learning models and AI solutions for business problems across multiple domains. Collaborate with cross-functional teams including engineering, product, and analytics to identify opportunities for data-driven solutions. Perform exploratory data analysis (EDA), feature engineering , and model selection using industry best practices. Conduct experiments and perform model validation and performance tuning . Build reusable code and libraries for future use and contribute to data science platform improvements. Present findings and insights clearly to both technical and non-technical stakeholders. Required Skills & Qualifications: 4+ years of relevant experience in data science, with hands-on experience in machine learning, deep learning, or AI systems . Proficiency in Python and relevant libraries (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch, NumPy, etc.). Strong understanding of supervised, unsupervised , and reinforcement learning techniques. Experience with SQL, data wrangling , and working with large datasets. Exposure to cloud platforms like AWS, Azure , or GCP is a plus. Familiarity with MLOps, model deployment, and version control (e.g., Git). Preferred Qualifications: Experience working with NLP, computer vision, or time-series forecasting. Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Power BI, Tableau). Understanding of A/B testing, causal inference, and statistical hypothesis testing. Ability to work in a fast-paced, agile environment with minimal supervision. Experience in GenAI frameworks (OpenAI, Vertex AI), multi-agent architectures, and MLOps tooling. Tech Stack: Languages & Frameworks: Python, Java, SQL, JavaScript/TypeScript TensorFlow, PyTorch, Scikit-learn Cloud Platform: GCP – Vertex AI, BigQuery, Cloud Functions, Cloud Run, Dataflow, Pub/Sub Data & MLOps: BigQuery, AlloyDB, MongoDB, Redis Any relation Database – Oracle , MySQL, MSSQL Any of the MLOps – MLflow, Kubeflow, Airflow Docker, Kubernetes GenAI & Agents: Vertex AI Gemini, OpenAI, Claude LangChain, LlamaIndex, FAISS, Pinecone RAG pipelines, autonomous agents, multi-agent orchestration, memory modules, tool use, prompt chaining Dev Tools: GitHub Copilot, ChatGPT, Cursor AI or any other Gen AI Tools
About the Role We are seeking a Data-Science AI/ML Architect & Hands-On Technical Lead to architect, build, and lead full-life cycle AI/ML product development—from data pipelines and model training to GenAI integration and intelligent app deployment. This is an end-to-end role for a builder-leader: someone who thrives on writing production code, deploying machine learning systems, integrating LLMs, and leading an elite team of engineers and ML practitioners. Key Responsibilities: Architect & Build Full-Stack AI Solutions Design and build end-to-end machine learning systems—including pipelines, feature stores, training/inference services, and monitoring. Architect scalable, modular applications that embed foundation models, retrieval-augmented generation (RAG), and agentic workflows directly into product experiences—all on Google Cloud Platform (GCP) or Oracle Cloud Infrastructure (OCI). Develop privacy-preserving ML systems that align with food industry compliance and traceability standards. Build explainable AI frameworks to enable business stakeholders to trust and validate model outputs. Design AI architectures that deliver tenant-aware intelligence while ensuring strict data isolation and performance SLAs across our multi-tenant SaaS platform. Hands-On Engineering Develop robust data pipelines using BigQuery, Dataflow, and Apache Beam. Train, tune, and deploy ML models using TensorFlow, PyTorch, and Scikit-learn. Build full-stack AI-native applications with Python, Java, React/Angular, and GCP-native services. Implement robust MLOps pipelines that ensure reproducible training, CI/CD deployment, cost-efficient scaling, and real-time model monitoring. GenAI & AI Agent Development: Integrate GenAI features: RAG pipelines, content summarization, Q&A, semantic search synthetic data generation, and multi- turn chat interfaces Design and develop AI agents and copilots using LangChain, CrewAI, and Vertex AI to automate complex business processes. Use vector databases (FAISS, Pinecone) to build domain-specific LLM workflows. Prototype and deploy multi-agent systems for autonomous decision-making and workflow execution across supply chain, pricing, traceability, and forecasting. Technical Leadership: Lead a high-impact team of ML engineers and AI developers. Set technical strategy, define best practices, and guide architectural decision-making. Work cross-functionally with Product, Data Science, and Executive teams to shape AI innovation and delivery. Requirement: 10+ years in software/ML engineering; 5+ years leading architecture and engineering teams. Proven experience building production-ready AI/ML pipelines and applications end-to-end. Expertise in GenAI frameworks (OpenAI, Vertex AI), multi-agent architectures, and MLOps tooling. Experience operationalizing LLMs for enterprise use cases: hallucination reduction, security, cost optimization, and monitoring. Track record of shipping high-quality intelligent products quickly and at scale. Strong team leadership, communication, and cross-functional collaboration skills. Tech Stack: Languages & Frameworks: Python, Java, SQL, JavaScript/TypeScript TensorFlow, PyTorch, Scikit-learn React, Angular Cloud Platform: GCP – Vertex AI, BigQuery, Cloud Functions, Cloud Run, Dataflow, Pub/Sub OCI – Data Science, Autonomous Data Warehouse, Functions, Container Engine for Kubernetes (OKE), Data Flow, and Streaming Data & MLOps: BigQuery, AlloyDB, MongoDB, Redis MLflow, Kubeflow, Airflow Docker, Kubernetes, GitHub Actions, Terraform GenAI & Agents: Vertex AI Gemini, OpenAI, Claude LangChain, LlamaIndex, FAISS, Pinecone RAG pipelines, autonomous agents, multi-agent orchestration, memory modules, tool use, prompt chaining Dev Tools: GitHub Copilot, ChatGPT, Cursor AI, Locofy or similar tools
Job brief We are Looking for Sterling Integrator Developer who has strong knowledge with 2-4 years of experience including functional and unit testing. Desired experience in supporting a B2B environment, Interaction with internal and external clients. Responsibilities: The desired candidate should have over 2 years of experience in using SI mapping Should be expertise in using Sterling Map Editor Should be well-versed with the Sterling Integrator dashboard and ability to convert requirements to technical business process Should have experience in networking with the ability to setting up communication channels using AS2, SFTP, etc. Ability to perform various configuration setups like Envelopes, code lists, etc. in SI Should have a good understanding of X12 and EDIFACT standards Preferred to have good interpersonal and problem-solving skills Good team player, quick learner, capable of working in high-demand work environments, and ready to accept any challenges Good verbal/written communication skills with the ability to work in large teams and interact with technical teams Should have the ability to quickly adapt to new technologies Qualifications Minimum 3 years experience in Sterling Integrator Technical Skills – Must Haves Strong knowledge of IBM Sterling Integrator Experience in creating MAPS for various envelopes Hands-on experience with AS2 server and SFTP server Experienced with Testing MAPS and end to end document flows Technical Skills – Good To Haves Working knowledge of SQL Overlap with US shift timing
You are a motivated and technically skilled Data Scientist with 4+ years of experience in applying AI/ML techniques to solve real-world problems. You possess a solid foundation in machine learning, statistical modeling, and data analysis, with hands-on experience working with large datasets and deploying models in production environments. Your key responsibilities include designing, developing, and deploying machine learning models and AI solutions for business problems across multiple domains. You will collaborate with cross-functional teams including engineering, product, and analytics to identify opportunities for data-driven solutions. Conducting exploratory data analysis (EDA), feature engineering, and model selection using industry best practices are essential. You will also perform experiments, model validation, and performance tuning, as well as build reusable code and libraries for future use while contributing to data science platform improvements. Presenting findings and insights clearly to both technical and non-technical stakeholders is a crucial part of your role. You should have 4+ years of relevant experience in data science, with hands-on experience in machine learning, deep learning, or AI systems. Proficiency in Python and relevant libraries such as Pandas, Scikit-learn, TensorFlow, PyTorch, NumPy, etc., is required. A strong understanding of supervised, unsupervised, and reinforcement learning techniques is necessary. Experience with SQL, data wrangling, and working with large datasets is expected, and exposure to cloud platforms like AWS, Azure, or GCP is a plus. Familiarity with MLOps, model deployment, and version control (e.g., Git) is beneficial. Preferred qualifications include experience working with NLP, computer vision, or time-series forecasting, as well as familiarity with data visualization tools such as Matplotlib, Seaborn, Power BI, Tableau. An understanding of A/B testing, causal inference, and statistical hypothesis testing is advantageous. You should be able to work in a fast-paced, agile environment with minimal supervision and have experience in GenAI frameworks (OpenAI, Vertex AI), multi-agent architectures, and MLOps tooling. In terms of the tech stack, you should be familiar with languages and frameworks like Python, Java, SQL, JavaScript/TypeScript, and tools such as TensorFlow, PyTorch, and Scikit-learn. Cloud platforms like GCP Vertex AI, BigQuery, Cloud Functions, Cloud Run, Dataflow, and Pub/Sub are essential. Knowledge of data and MLOps tools like BigQuery, AlloyDB, MongoDB, Redis, relation databases (e.g., Oracle, MySQL, MSSQL), and MLOps tools (e.g., MLflow, Kubeflow, Airflow, Docker, Kubernetes) is required. Understanding of GenAI and agents such as Vertex AI Gemini, OpenAI, Claude, LangChain, LlamaIndex, FAISS, Pinecone, RAG pipelines, autonomous agents, multi-agent orchestration, memory modules, tool use, and prompt chaining is beneficial. Dev tools like GitHub Copilot, ChatGPT, Cursor AI, or any other Gen AI tools are also part of the tech stack you will work with.,
Overview: We are seeking a highly skilled Technical Lead with extensive experience in Java development and team leadership. The ideal candidate will be a hands-on individual contributor with a proven track record in developing robust, scalable software solutions using Java, along with expertise in Microservices, SQL, and the Spring framework. In addition to technical prowess, this role requires strong leadership abilities to mentor and guide the development team towards successful project outcomes. Key Responsibilities: Lead a team of Java developers, providing technical guidance, mentorship, and support to ensure high-quality deliverables. Collaborate with cross-functional teams to design, develop, and deploy scalable software solutions using Java, Microservices, SQL, Spring framework etc. Architect and implement complex features and functionalities, ensuring adherence to best practices and coding standards. Drive innovation and continuous improvement within the development team through proactive research, exploration, and adoption of new technologies and methodologies. Conduct code reviews, performance evaluations, and provide constructive feedback to team members to foster professional growth and development. Resolving technical challenges, and providing technical leadership in troubleshooting and issue resolution. Qualifications: 8+ years of hands-on experience in Java development, with a deep understanding of core Java concepts and best practices. Proven experience in team leadership or management, with the ability to inspire, motivate, and mentor team members towards achieving common goals. Extensive experience in designing and developing enterprise-level software applications using Java, Elasticsearch, SQL, and the Spring framework. Strong understanding of software development methodologies, agile practices, and DevOps principles. Excellent problem-solving skills, with the ability to analyze complex technical issues and propose effective solutions. Excellent communication skills, with the ability to effectively collaborate with cross-functional teams and articulate technical concepts to non-technical stakeholders. Strong leadership qualities, with a passion for mentoring and developing team members, fostering a culture of innovation, collaboration, and excellence. Should have understanding of Angular or any other UI framework Should have understanding of mobile applications and how they work.
About the Role We are seeking a highly skilled and innovative Senior Data Scientist AI/ML to lead the design, development, and deployment of advanced machine learning models and AI solutions. This role is ideal for professionals with a strong foundation in data science, deep learning, and statistical modeling who can drive business impact through data-driven strategies and products. Key Responsibilities: • Design, build, and deploy machine learning and AI models for a variety of business use cases. • Lead end-to-end ML projects from ideation to production, including data preparation, feature engineering, model training, validation, and monitoring. • Collaborate with engineering, product, and business stakeholders to understand requirements and deliver impactful solutions. • Leverage techniques in deep learning, NLP, generative AI, time-series analysis, or computer vision, as needed. • Mentor junior data scientists and contribute to technical best practices, code reviews, and solution architecture. • Evaluate and implement ML Ops practices for scalable and maintainable deployment. • Stay updated on emerging trends in AI/ML and drive innovation by applying cutting-edge research. Requirement: • 6+ years of experience in data science, machine learning, and AI model development. • Proficiency in Python, SQL, and ML frameworks such as scikit-learn, TensorFlow, PyTorch, or XGBoost. • Experience with cloud platforms (AWS/GCP/Azure) and data pipeline tools (Airflow, Spark, etc.). • Strong knowledge of model evaluation, A/B testing, feature selection, and data preprocessing. • Excellent communication and storytelling skills to present findings to both technical and non-technical audiences. • Experience in GenAI frameworks (OpenAI, Vertex AI), multi-agent architectures, and MLOps tooling. • Ability to ship high-quality intelligent products quickly and at scale. Tech Stack: Languages & Frameworks: • Python, Java, SQL, JavaScript/TypeScript • TensorFlow, PyTorch, Scikit-learn,Spring Boot • React, Angular Cloud Platform: • GCP – Vertex AI, BigQuery, Cloud Functions, Cloud Run, Dataflow, Pub/Sub • OCI – Data Science, Autonomous Data Warehouse, Functions, Container Engine for Kubernetes (OKE), Data Flow, and Streaming Data & MLOps: • BigQuery, AlloyDB, MongoDB, Redis • Any relation Database – Oracle , MySQL, MSSQL • Any of the MLOps - MLflow, Kubeflow, Airflow • Docker, Kubernetes GenAI & Agents: • Vertex AI Gemini, OpenAI, Claude • LangChain, LlamaIndex, FAISS, Pinecone • RAG pipelines, autonomous agents, multi-agent orchestration, memory modules, tool use, prompt chaining Dev Tools: • GitHub Copilot, ChatGPT, Cursor AI
Job brief We are Looking for Sterling Integrator Developer who has strong knowledge with 2-4 years of experience including functional and unit testing. Desired experience in supporting a B2B environment, Interaction with internal and external clients. Responsibilities - The desired candidate should have over 2 years of experience in using SI mapping - Should be expertise in using Sterling Map Editor - Should be well-versed with the Sterling Integrator dashboard and ability to convert requirements to technical business process - Should have experience in networking with the ability to setting up communication channels using AS2, SFTP, etc. - Ability to perform various configuration setups like Envelopes, code lists, etc. in SI - Should have a good understanding of X12 and EDIFACT standards - Preferred to have good interpersonal and problem-solving skills - Good team player, quick learner, capable of working in high-demand work environments, and ready to accept any challenges - Good verbal/written communication skills with the ability to work in large teams and interact with technical teams - Should have the ability to quickly adapt to new technologies Qualifications - Minimum 3 years experience in Sterling Integrator Technical Skills - Must Haves - Strong knowledge of IBM Sterling Integrator - Experience in creating MAPS for various envelopes - Hands-on experience with AS2 server and SFTP server - Experienced with Testing MAPS and end to end document flows Technical Skills - Good To Haves - Working knowledge of SQL - Overlap with US shift timing Role & responsibilities
Role: Fashion Designer Intern And Fashion Mechandiser Intern Duration: 3 Months Intrested candidate can send their CV and portfolio at Gunjanm@dewsolutions.in
Responsibilities: As a Pyhton Backend Developer, your main responsibilities will include: Develop, maintain, and optimize backend services using Django and FastAPI. Design and implement RESTful and asynchronous APIs. Work with databases (PostgreSQL/MySQL) and ORM frameworks. Write clean, efficient, and reusable code following best practices. Optimize application performance and scalability. Integrate third-party APIs and external services. Collaborate with frontend developers, designers, and other stakeholders. Implement security and data protection solutions. Write unit tests and ensure high code quality. INTRESTED CANDIDATE CAN SHARE THEIR CV AT Gunjanm@dewsolutions.in
Role & responsibilities -Develop, enhance, and maintain scalable web applications using Angular -Write clean, maintainable, and testable code following best practices and coding standards. -Optimize application performance and ensure scalability. -Debug and resolve technical issues as they arise. -Participate in code reviews and contribute to the teams knowledge base. Preferred candidate profile -Minimum 6 years of professional experience in front-end development, with at least 4+ years specializing in Angular. -Proficiency in TypeScript, JavaScript, HTML, CSS. -Experience with RxJS for reactive programming and state management. -Hands-on experience with unit testing frameworks. -Strong problem-solving skills and attention to detail. -Excellent communication and teamwork skills.