Python Engineer Jobs in Ahmedabad

Senior Embedded Software/Firmware Engineer Location: Ahmedabad Job Type: Full-Time Category: Embedded Solutions Job Summary We are seeking an experienced Senior Embedded Software/Firmware Engineer to join our core R&D team focused on developing robust and high-performance embedded systems for industrial-grade products. You will own the firmware development process throughout the product lifecycle, from initial design to final deployment. Prior experience in avionics or cutting-edge consumer electronics will be highly valued. Key Responsibilities Lead the design and development of embedded firmware for microcontrollers, SoCs, and custom hardware platforms. Architect and implement low-level device drivers, middleware components, and protocol stacks. Collaborate closely with hardware engineers, QA teams, and systems engineers to define firmware requirements and integration plans. Perform board bring-up, system debugging, and optimize firmware for performance and reliability. Develop and execute comprehensive test plans covering unit, integration, and system-level testing. Maintain high standards for code quality, maintainability, and traceability using version control systems (Git, SVN) and issue-tracking tools. Contribute to firmware architecture, coding standards, and conduct peer code reviews. Document software designs, test outcomes, and interface specifications thoroughly. Stay current with emerging embedded technologies, tools, and industry standards. Required Qualifications Bachelor s or Master s degree in Electronics, Electrical, Computer Engineering, or related field. 6 8 years of professional experience in embedded software/firmware development. Strong proficiency in C/C++ programming, real-time operating systems (RTOS), and bare-metal firmware development. Hands-on experience with ARM Cortex-M, STM32, or similar microcontroller families. Solid understanding of communication protocols such as SPI, I2C, UART, CAN, Ethernet, PCIe, and USB. Skilled in debugging tools including JTAG, oscilloscopes, and logic analyzers. Proven experience across full development cycles: design, implementation, debugging, testing, and documentation. Preferred Qualifications Experience working in avionics environments (DO-178C, ARP-4754) or safety-critical development. Familiarity with scripting languages (Python, Bash) for automation and testing purposes. Knowledge of high-speed interfaces or FPGA firmware interactions. Understanding of MISRA C, secure coding practices, and industry coding standards. Be a part of a dynamic and innovation-driven team. Work on real-world, deployed products in industrial and emerging technology sectors. Opportunity to work on advanced platforms and collaborate with domain experts. Competitive salary with clear and transparent career growth opportunities. Qualification : Bachelors or Masters degree in Electronics, Electrical, Computer Engineering, or related field

Job Title: Data Engineer Location: Ahmedabad, Gujarat Job Type: Full-Time About the Role We re seeking a talented Data Engineer with hands-on experience in Azure-based data solutions. If you excel at building scalable data pipelines and have a strong command of Azure Data Factory, Databricks, PySpark, and Python, we want to hear from you. Experience with Azure Synapse Analytics, Microsoft Fabric, or Power BI will be a strong advantage. What You ll Do Design and implement scalable ETL/ELT pipelines using Azure Data Factory and Databricks. Process and transform large datasets using PySpark and Python. Build and maintain data lakes and data warehouses on the Azure Cloud. Collaborate with data architects, analysts, and business stakeholders to develop effective data solutions. Ensure high standards of data quality, consistency, and reliability. Optimize pipeline performance and manage cloud costs efficiently. Apply best practices for data security, governance, and monitoring. Document workflows and contribute to architectural decisions. 3 5 years of hands-on experience in Data Engineering. Proficiency with: Azure Data Factory (ADF) Azure Databricks Azure SQL Python and PySpark Azure Storage (Blob, Data Lake Gen2) Experience with data lakehouse or modern data warehouse architecture. Familiarity with Delta Lake, MLflow, and Unity Catalog is a plus. Strong SQL skills and experience with performance tuning. Understanding of CI/CD processes in Azure. Excellent analytical and problem-solving abilities. Bonus Skills (Preferred but not required) Experience with Azure Synapse Analytics. Knowledge of Microsoft Fabric. Power BI experience for dashboards and reporting. Exposure to DevOps and Infrastructure as Code (IaC). Understanding of data governance and security frameworks. Relevant certifications (e.g., Databricks Certified Data Engineer Associate/Professional).

Job Title: Data Engineering Intern / Junior Data Engineer Location: Ahmedabad, Gujarat Type: Internship About the Role We re looking for a passionate and motivated Data Engineering Intern to join our team. This is an excellent opportunity for individuals with a foundational understanding of data concepts who are eager to gain hands-on experience with real-world data engineering projects and modern cloud technologies. Key Responsibilities Assist in building and maintaining ETL/ELT data pipelines. Support data extraction, transformation, and loading processes. Help design and implement data warehouses and data lakes. Work closely with senior engineers and analysts to understand data requirements. Write basic SQL queries and Python scripts for data manipulation. Participate in data validation and quality checks. Document workflows, processes, and technical details. What You ll Need Basic understanding of SQL and Python. Familiarity with ETL concepts and data warehouse/lake architectures. Interest in cloud platforms such as Azure, AWS, or Google Cloud. Strong problem-solving skills and analytical thinking. Willingness to learn, adapt, and take initiative. Clear and effective communication skills. Bonus Skills (Nice to Have) Exposure to tools like Azure Data Factory, Databricks, or Power BI. Academic or personal projects related to data engineering. Familiarity with Git or other version control systems. Get hands-on experience with industry-standard data tools and technologies. Learn from a collaborative and experienced team. Build a solid foundation for a career in data engineering. Opportunity for full-time employment based on performance and growth.

Job Title: Data Science Intern AI/ML Location: Ahmedabad, Gujarat Type: Internship About the Role We re looking for a curious and motivated AI/ML Intern to join our Data Science team. This internship offers a fantastic opportunity to gain hands-on experience working on real-world machine learning and AI projects. You ll collaborate with experienced data scientists and engineers, apply algorithms to solve practical problems, and contribute to innovative research and development efforts. Key Responsibilities Assist in building, training, and evaluating machine learning models using Python. Support AI/ML research, experimentation, and proof-of-concept development. Perform data collection, cleaning, exploration, and visualization. Apply statistical methods and ML algorithms to solve analytical challenges. Document experiments, models, and processes clearly and thoroughly. Work closely with cross-functional teams including engineering and product. Proficiency in Python and libraries like scikit-learn, pandas, NumPy. Basic understanding of machine learning concepts, statistics, and data modeling. Experience with academic, personal, or internship-based AI/ML projects. Familiarity with tools such as TensorFlow, scikit-learn, or Azure ML. Eagerness to learn and apply new techniques. Strong analytical thinking and communication skills. Bonus Skills (Preferred but not required) Experience with Jupyter Notebooks, Google Colab, or cloud-based ML tools. Knowledge of deep learning frameworks (TensorFlow, Keras, PyTorch). Exposure to Azure Machine Learning, MLflow, or MLOps. Understanding of data pipelines and basic SQL. Work on cutting-edge AI/ML projects with real-world impact. Learn directly from seasoned data science professionals. Be part of a collaborative and growth-oriented environment. Potential pathway to full-time employment based on performance.

Job Title: DevOps Engineer Location: Ahmedabad, India Experience Required: 3 to 7 Years Role Overview As a DevOps Engineer, you ll be responsible for managing and improving infrastructure for both production and development environments. You'll collaborate across engineering teams to ensure seamless integration, scalable systems, and continuous delivery of quality software products. Key Responsibilities Build and maintain secure, scalable infrastructure for production and development. Automate deployment processes and improve CI/CD workflows. Work with public cloud services (AWS, Azure, or GCP) for infrastructure provisioning and monitoring. Implement Infrastructure as Code (IaC) using tools like Terraform or Ansible. Troubleshoot and resolve infrastructure issues quickly and effectively. Collaborate with developers to ensure smooth and efficient software delivery. Manage and optimize Linux-based server environments. Configure and maintain databases such as MySQL and MongoDB. Support containerization using Docker and orchestration with Kubernetes. Design and maintain CI/CD pipelines for microservices and frontend deployments. Ensure high availability, performance, and security of systems and services. Coordinate with cross-functional teams to plan scaling and capacity requirements. Required Skills & Qualifications Minimum 3 years of professional experience in a DevOps role. Hands-on experience with at least one major public cloud platform (AWS, Azure, or GCP). Strong Linux/Unix systems administration background. Proficiency in scripting languages like Bash, Shell, or Python. Experience with CI/CD tools such as Jenkins, GitLab CI, or GitHub Actions. Familiarity with container technologies like Docker and orchestration tools like Kubernetes. Knowledge of database management (MySQL, MongoDB). Working knowledge of tools like Git, JIRA, and Confluence. Strong troubleshooting, problem-solving, and communication skills. Nice to Have Experience with monitoring/logging tools like Prometheus, Grafana, ELK Stack, or similar. Exposure to microservices architecture and cloud-native deployment strategies. Knowledge of version control best practices and release management. Be part of a fast-growing tech company at the cutting edge of infrastructure and DevOps innovation. Work on challenging problems in a collaborative and supportive environment. Opportunity to influence DevOps strategy and infrastructure decisions. Located in the heart of Ahmedabad, offering a great work-life balance.

Job Title: Python Developer About Metizsoft What You'll Do: As a Python Developer at Metizsoft, you'll play a crucial role throughout the entire software development lifecycle. Your responsibilities will include: Developing, testing, and maintaining robust and scalable software using the Python programming language. Actively participating in all stages of software development, from building to testing and delivering exceptional solutions. Collaborating with cross-functional teams to tackle complex challenges and innovate. Writing clean, efficient, and reusable code that is easy to maintain and scale for future growth. What We're Looking For: We're searching for a Python Developer with a strong technical background and a collaborative spirit. Here are the key skills and qualifications we require: 3+ years of experience as a Python Developer with a proven track record of successful projects. A Bachelor's degree in Computer Science, Software Engineering, or a related technical field. In-depth understanding of the Python software development ecosystem, including frameworks and tools like Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn, and PyTorch. Experience with front-end development technologies such as HTML, CSS, and JavaScript. Familiarity with various database technologies, including both SQL and NoSQL. Exceptional problem-solving abilities combined with strong communication and collaboration skills. Hands-on experience with popular Python frameworks like Django, Flask, or Pyramid. Knowledge of data science and machine learning concepts and tools is a significant plus. A working understanding of cloud platforms such as AWS, Google Cloud, or Azure. Contributions to open-source Python projects or active involvement in the Python community are highly valued. At Metizsoft, we foster a challenging and enjoyable collaborative culture that supports long-term career growth. We believe in empowering our team members and providing them with opportunities to excel. If you're ready to make an impact and grow with a dynamic company, explore this career opportunity with Metizsoft! Qualification : A Bachelor's degree in Computer Science, Software Engineering, or a related technical field.

Sr. Software Engineer | AI & Cloud Technologies | Generative AI | NLP | Ahmedabad Location: Ahmedabad Reports to: Director, Software Engineering Experience: 5+ Years Tech Stack: Generative AI, NLP, Deep Learning, Cloud (AWS, Azure, GCP), Docker, Kubernetes, CI/CD About Conga At Conga, we are committed to creating a thriving environment where innovation, team growth, and open communication are at the heart of everything we do. We simplify complexity for our customers by aligning teams, processes, and technologies to deliver transformational revenue growth. Our mission is to optimize the Revenue Lifecycle Management process, helping businesses achieve sustainable growth and maximize customer lifetime value. Conga's approach to business is grounded in The Conga Way, a set of values shaped by direct input from our colleagues. Job Overview: Sr. Software Engineer - AI & Cloud Technologies As a Senior Software Engineer at Conga in Ahmedabad, you will play a critical role in building next-generation products focused on AI models, NLP, and cloud technologies. In this role, you ll serve as a subject matter expert in AI, building scalable systems that support Conga s Cloud Revenue Lifecycle Management platform. You will collaborate closely with cross-functional teams, ensuring your solutions meet business needs and drive the future of Conga's AI-powered products. Why It s a Big Deal Your contributions as a Senior Software Engineer will directly impact the development of scalable AI components and cloud-based solutions for Conga s product offerings. This role is ideal for someone passionate about building and deploying cutting-edge AI models, especially those utilizing Generative AI and NLP. You will have the chance to tackle complex challenges and create meaningful solutions that optimize critical business workflows for Conga s customers. Key Responsibilities: AI Model Development: Design, develop, and deploy Generative AI models, including Natural Language Processing (NLP) and Deep Learning models. Fine-tune LLMs (such as GPT-4, BERT, Llama) to meet specific business needs. AI Pipelines: Build and maintain RAG (Retrieval-Augmented Generation) pipelines, integrating external data with AI models to enhance document processing. Cloud & Deployment: Architect and deploy AI solutions within AWS or Azure cloud environments, leveraging Docker and Kubernetes for containerization and cloud deployment. Microservices Architecture: Design and develop reusable components, microservices, and APIs that enable seamless integration with other Conga products and platforms. Cross-functional Collaboration: Work closely with product managers, engineers, and stakeholders to translate business requirements into technical solutions. Communicate complex technical concepts effectively to all stakeholders. Agile Development: Participate in Agile sprints and collaborate with team members to ensure successful project delivery, from initial concept to deployment. Qualifications: 5+ years of experience in developing AI models, including NLP, Generative AI, and Deep Learning. Hands-on experience with LLMs such as GPT-4, BERT, Llama, with practical experience in fine-tuning and deploying these models for business use cases. Experience in building and maintaining RAG pipelines for enhancing document and data analysis capabilities. Proficiency with cloud technologies (AWS, Azure, GCP) and understanding of cloud architecture and cloud design patterns. Expertise in containerization tools (Docker, Kubernetes) and CI/CD pipelines. Strong knowledge of microservices and API development. Bachelor's degree in Engineering or related field (advanced degrees are a plus). What Will Give You an Edge: Effective Communication: You excel at initiating and driving discussions, translating complex AI solutions into actionable business value. Proactive & Entrepreneurial: You take the initiative to propose new projects that improve team performance and solve complex challenges. Passionate Problem Solver: Self-driven, you enjoy solving complex technical challenges and are dedicated to delivering high-quality, scalable solutions. Mentorship: You will be a mentor for junior engineers, helping them grow and fostering a collaborative, innovative environment. What We Offer: Dynamic and inclusive culture where innovation is encouraged and every voice matters. Opportunities to work with cutting-edge technologies like Generative AI, NLP, and Cloud computing. Agile development environment that values creativity and technical expertise. Collaborative work culture where you can contribute ideas and solve impactful business problems. Qualification : Bachelor's degree in Engineering or related field (advanced degrees are a plus).

Job Title: AWS DevOps Engineer Experience Required: 1-3 Years Job Location: Ahmedabad/Pune Educational Qualifications: UG: BE/BTech (CE, IT, EC, EEE) PG: MCA/MSC IT Job Description: We are looking for a talented AWS DevOps Engineer to join our dynamic team. The ideal candidate will play a crucial role in designing, developing, and deploying robust applications using AWS cloud technologies. You will work closely with the development and operations teams to ensure seamless integration, automation, and efficient cloud infrastructure management. Key Responsibilities: AWS Expertise: Hands-on experience with a wide range of AWS services including IAM, VPC, EC2, RDS, CloudFront, ECR, ECS, EKS, Lambda, CodeBuild, CodeCommit, CloudTrail, and CloudWatch. Serverless & Microservices: Proficiency in building and deploying serverless applications and microservice architectures. Infrastructure as Code: Experience with CloudFormation and Terraform, creating reusable, module-based code for resource provisioning. CI/CD Pipelines: Design, implement, and manage Continuous Integration and Continuous Deployment (CI/CD) pipelines using tools such as Jenkins, GitHub Actions, and other build management tools. Build Management: Proficiency in creating build artifacts using tools like Maven, Gradle, npm, etc. Cloud Infrastructure Management: Hands-on experience managing cloud-based infrastructure (AWS), ensuring scalability and security. Containerization & Orchestration: Expertise in Docker and container orchestration tools like AWS ECS, EKS, and Kubernetes. Monitoring & Analytics: Monitor platform capacity and health, providing analytics and forecasts for resource scaling. Version Control: Solid experience with Git and GitHub for version control. Automation & Scripting: Ability to automate tasks using scripting languages like Bash or Python. Troubleshooting & Logging: Proficient in logging, troubleshooting, and optimizing deployment pipelines for efficient operations. Key Requirements: Proven experience as a DevOps Engineer with a focus on AWS cloud technologies. Strong expertise in designing and implementing CI/CD pipelines to streamline development and deployment processes. In-depth knowledge of AWS security best practices and ability to implement them in the AWS environment. Strong problem-solving skills, with the ability to diagnose and troubleshoot issues in complex, distributed systems. Excellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams. Hands-on experience with logging and troubleshooting deployment pipelines. Nice to Have: AWS Certifications such as AWS Certified Solutions Architect Associate, AWS Certified Developer Associate, or AWS Certified Cloud Practitioner. Understanding of AI/ML concepts. Familiarity with logging and monitoring tools like ELK Stack and Grafana. Experience with SonarQube for continuous code quality inspection.

Job Title: Azure DevOps Engineer Required Experience: 1-3 Years Job Location: Ahmedabad/Pune Educational Qualifications: UG: BE/BTech (CE, IT, EC, EEE) PG: MCA/MSC IT Job Description: We are seeking a talented Azure DevOps Engineer to join our expanding team. In this role, you will be responsible for designing, developing, and deploying robust applications using Azure cloud technologies. Your work will be pivotal in automating, optimizing, and ensuring the efficiency of our cloud infrastructure and deployment pipelines. Key Responsibilities: Azure Resource Management: Support deployment and maintenance of Azure resources, such as Virtual Machines, Storage Accounts, Azure Functions, and Azure Kubernetes Service (AKS). CI/CD Pipeline Management: Assist in creating, managing, and optimizing CI/CD pipelines using Azure DevOps to ensure seamless integration and deployment of applications. Clean Code Practices: Write clean, scalable, and efficient code while adhering to best development practices. Automation Collaboration: Work with development teams to automate build, test, and deployment processes, driving faster and more reliable releases. Infrastructure Monitoring: Monitor the performance and reliability of infrastructure and pipelines, implementing improvements as needed. Troubleshooting: Troubleshoot and resolve issues related to builds, releases, environments, and cloud infrastructure. Documentation: Document DevOps processes, configurations, and best practices to ensure consistency and knowledge sharing across the team. Key Requirements: DevOps Experience: Proven experience in DevOps roles, ideally in cloud-based environments. Azure Knowledge: In-depth knowledge of Azure Cloud services, including Azure DevOps, App Services, Functions, Virtual Machines, and AKS. CI/CD Expertise: Hands-on experience with Azure DevOps pipelines and automating software delivery processes. Infrastructure as Code: Proficiency with Infrastructure as Code (IaC) tools like Terraform or ARM templates for managing cloud resources. Version Control: Knowledge of version control systems like Git and Azure DevOps, with an understanding of branching strategies. Scripting Skills: Experience in scripting languages such as PowerShell, Bash, or Python to automate workflows. Containerization: Familiarity with containerization tools such as Docker for application packaging and deployment. Analytical Mindset: Strong analytical and problem-solving abilities with a continuous learning mindset. Pipeline Troubleshooting: Experience in logging, troubleshooting, and optimizing deployment pipelines to ensure smooth operations. Good to Have: Azure Certifications: Certifications such as AZ-900 (Azure Fundamentals) or AZ-104 (Azure Administrator Associate) are a plus. AI/ML Understanding: Knowledge of AI/ML concepts and their integration into cloud environments. Monitoring Tools: Familiarity with logging and monitoring tools like ELK Stack and Grafana for operational insights. SonarQube: Experience with SonarQube for continuous code quality analysis.

Job Title: QA Engineer Required Experience: 1-3 Years Job Location: Ahmedabad/Pune Educational Qualifications: UG: B.E/B.Tech PG: MCA/MSc IT Job Description: We are seeking a skilled and detail-oriented QA Engineer to join our Quality Assurance team. The ideal candidate will play a critical role in ensuring the quality of our software applications through both manual and automated testing. If you are passionate about quality, have a keen eye for detail, and enjoy working in a collaborative environment, we d love to hear from you. Key Responsibilities: Manual & Automated Testing: Execute both manual and automated test cases to identify defects and ensure software quality across different platforms. Collaboration with Development Teams: Work closely with the development team to understand project requirements, functionality, and user stories. Bug Tracking & Reporting: Identify, document, and report defects using issue-tracking tools (e.g., Jira). Test Documentation: Assist in the development and maintenance of test plans, test cases, and test scripts for effective testing coverage. Testing Types: Conduct various types of testing including functional, regression, performance, system integration, and usability testing. Agile Processes: Actively participate in Agile processes such as sprint planning, daily stand-ups, and other collaborative meetings. Compliance & Standards: Ensure compliance with company standards, industry best practices, and quality guidelines. Customer Issue Troubleshooting: Support troubleshooting by reproducing and analyzing customer-reported issues to identify root causes. Automation Testing: Learn and implement automation testing tools under the guidance of senior QA engineers. Cross-Technology Testing: Conduct testing across multiple technology components, including web applications, REST APIs, and databases. Technologies & Platforms: Web Applications REST API Testing Databases: Familiarity with MongoDB, PostgreSQL, or other SQL/No-SQL databases. Operating Systems: Hands-on experience with Windows and Linux environments. Required Skills: Basic Understanding: Software testing methodologies, SDLC (Software Development Life Cycle), and STLC (Software Testing Life Cycle). Test Management Tools: Familiarity with tools like TestRail or Zephyr for test case management. Issue Tracking: Experience using issue-tracking software such as Jira or Bugzilla. Programming/Scripting Knowledge: Knowledge of Python, Java, or JavaScript. Automation Tools: Experience or familiarity with automation testing tools such as Selenium, Cypress, Robot Framework, or Playwright. Analytical & Problem-Solving: Strong analytical skills with the ability to troubleshoot and resolve issues effectively. Communication & Teamwork: Strong verbal and written communication skills with a collaborative mindset. Test Case Creation: Experience in creating and executing functional, system, and integration test cases. Good to Have: Experience working with cloud-ready applications and testing in cloud environments.

Job Title: QA (Automation Engineer) Location: Ahmedabad, India Job Type: Full Time Job Overview: We are looking for a QA Automation Engineer with 2 to 5 years of experience to join our dynamic team. The ideal candidate will have a strong background in automation testing, a passion for improving software quality, and the ability to design and implement automated test solutions. You will collaborate with cross-functional teams to ensure our products meet high-quality standards through robust automated testing practices. Key Responsibilities: Automated Test Development: Design, develop, and execute automated test scripts for web, mobile, and API testing to ensure product quality. Develop and maintain test automation frameworks using popular tools like Selenium, Appium, or Cypress. Collaboration: Work closely with developers, product managers, and manual QA teams to understand project requirements and create relevant test plans. Testing: Perform various types of testing including functional, regression, performance, and load testing to ensure comprehensive coverage. Conduct API testing using tools like Postman, REST Assured, or similar platforms. Bug Tracking: Identify, document, and track defects using JIRA, Bugzilla, or similar defect tracking tools. CI/CD Integration: Integrate test automation with CI/CD pipelines (e.g., Jenkins, GitHub Actions, or similar). Test Analysis: Analyze test results, troubleshoot test failures, and work to continuously improve testing strategies. Ensure comprehensive test coverage by maintaining and updating test cases, test scripts, and test documentation. Reporting: Provide regular quality assurance reports and contribute insights to enhance overall product quality. Required Skills & Qualifications: Experience: 2 to 5 years of experience in automation testing within the IT industry. Test Automation Tools: Strong knowledge of Selenium WebDriver, Appium, or Cypress for automation. Programming Languages: Hands-on experience with programming languages like Java, Python, or JavaScript. API Testing: Experience in API testing using tools like Postman, REST Assured, or similar tools. Test Automation Frameworks: Familiarity with test automation frameworks such as TestNG, JUnit, or Cucumber. CI/CD Tools: Working knowledge of CI/CD tools like Jenkins, GitHub Actions, or similar. Database Validation: Good understanding of SQL for database validation. Skills: Strong analytical and problem-solving skills. Excellent verbal and written communication skills. Why Join Us: Innovative Work: You'll be part of a team responsible for developing and executing robust test automation solutions that enhance the software development lifecycle. Career Growth: Opportunities for career development and expanding your knowledge in test automation, CI/CD processes, and various automation tools. Collaborative Environment: Work alongside a skilled team of developers, product managers, and QA professionals in an agile development environment. Impactful Projects: Contribute directly to ensuring the quality of software that impacts millions of users globally. If you are passionate about automation testing, continuously improving software quality, and collaborating with a dynamic team, we d love to hear from you!

Job Title: AI/ML Engineer Location: Ahmedabad, India Job Type: Full-time Job Overview: As a progressive company deeply invested in artificial intelligence, we hold innovation as a guiding principle. In line with our commitment to advancing this domain, we're searching for a seasoned Machine Learning Engineer to refine our existing systems and architect new AI models. This role will involve a rich blend of tasks, including collaborating intensively with stakeholders and domain specialists to help develop AI models capable of tackling intricate business problems. Key Responsibilities: Collaborate with Cross-functional Teams: Work closely with domain experts, data scientists, and software engineers to develop and implement machine learning models and algorithms that solve business problems. Data Analysis and Insights: Analyze large, complex datasets to extract actionable insights, identify patterns, and improve the performance of machine learning models. ML Pipeline Development: Develop and maintain end-to-end machine learning pipelines, including data preprocessing, feature extraction, model training, and evaluation. Model Deployment and Monitoring: Deploy machine learning models into production environments, monitor their performance, and ensure their continued effectiveness. Stay Current with Advancements: Keep up to date with the latest industry advancements in machine learning and artificial intelligence. Apply relevant techniques and technologies to continuously improve existing models and systems. Contribute to Best Practices: Contribute to the development of best practices, guidelines, and standards for machine learning engineering within the organization. Write Clean Code: Maintain high-quality, maintainable, and efficient code that adheres to industry best practices. Required Qualifications: Education: Tertiary degree in Computer Science, Software Engineering, or a related field, with a focus on machine learning or artificial intelligence. Experience: 3+ years of experience as a Machine Learning Engineer or in a similar role. Programming Skills: Advanced skills in programming languages such as Python, Rust, and related frameworks. Machine Learning Frameworks: Hands-on experience with machine learning frameworks such as PyTorch and libraries like NumPy, Pandas, or Keras. Problem-Solving: Excellent problem-solving and analytical skills, with the ability to approach complex challenges with a clear and effective strategy. Collaboration and Communication: Strong communication and collaboration abilities, with the capacity to work well in cross-functional teams. Independence: Ability to work independently when needed, demonstrating initiative and accountability. Preferred Qualifications: Microservices and Containerization: Experience with microservices architecture, Docker, Kubernetes, and Linux. Big Data Tools: Experience with big data processing tools (e.g., Hadoop, Spark) and data storage systems (e.g., SQL, NoSQL). Technical Design Skills: Demonstrated technical design, problem-solving, coding, and debugging skills. Distributed Systems: Experience with distributed systems design and implementation. Innovation: Be part of a team that is shaping the future of artificial intelligence. Career Growth: Continuous learning and growth opportunities in the AI/ML domain. Impact: Work on real-world projects that drive meaningful business outcomes. Dynamic Environment: Thrive in a fast-paced, innovative environment that encourages creativity and collaboration. If you are passionate about AI/ML, have the skills to develop cutting-edge solutions, and are eager to work with a talented team, we d love to have you onboard at Rapidops! Qualification : Tertiary degree in Computer Science, Software Engineering, or a related field, with a focus on machine learning or artificial intelligence.

Requirements: Good knowledge of Python with a minimum of 2+ years of experience. Strong understanding of various Python libraries, APIs, and toolkits. Experience or understanding of working in Web 3.0. Proficient in Django, Django REST Framework, and Flask framework. Understanding of AWS Serverless implementation using Lambda and API Gateway. Hands-on experience with databases like MySQL and PostgreSQL. Proficient in NoSQL document databases, especially MongoDB and Redis. Strong knowledge of Data Structures and Algorithms. Thorough understanding of version control system concepts, especially Git. Understanding of the whole web stack and how all the pieces fit together (front-end, database, network layer, etc.) and their impact on application performance. Excellent understanding of MVC and OOP; bonus for understanding prevalent design patterns. Excellent debugging and optimization skills. Job Responsibilities: Build robust, scalable, and maintainable applications. Debug, fix bugs, identify performance issues, and improve app performance. Continuously discover, evaluate, and implement new technologies to maximize development efficiency. Handle complex technical issues related to web app development and discuss solutions with the team. Develop, deploy, and maintain multistage, multi-tier applications. Write high-performing code and participate in key architectural decisions. Execute projects and interact with clients. Implement Scrum methodologies.

Primary Skills: Python, Django, FastAPI, REST, AWS. Key Responsibilities: Design, develop, and maintain web applications using Python and the Django framework. Implement RESTful APIs and integrate them with front-end components. Utilize Flask/FastAPI for specific projects or microservices as needed. Write efficient, reusable, and testable code. Collaborate with front-end developers, designers, and other stakeholders to create seamless user experiences. Optimize applications for maximum speed and scalability. Troubleshoot and debug applications to ensure optimal performance. Deploy and manage applications on AWS, leveraging its services for scalability and performance. Stay updated with the latest industry trends and technologies to continuously improve skills and enhance the development process. Preferred Skills: Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities. Ability to work independently and manage multiple tasks effectively. Experience with additional frameworks and libraries (e.g., FastAPI, Pyramid). Experience in Cloud services. Familiarity with containerization technologies like Docker.

Job Description We are looking for a highly skilled AI Engineer with expertise in Large Language Models (LLMs), machine learning, data engineering, and product development. The ideal candidate will drive the development of intelligent, scalable, and ethical AI solutions while leveraging cutting-edge technologies to solve complex challenges. Required Qualifications Expertise in LLMs, machine learning, and data engineering. Knowledge of transformer architectures and deep learning models like CNNs and RNNs. Strong in Python and JavaScript; familiarity with C++ and Java is a plus. Experience with TensorFlow, PyTorch, and Keras for AI model development. Proficient in building scalable data pipelines and performing data preprocessing. Familiarity with AWS, Google Cloud, or Azure for scalable deployments. Understanding of CI/CD practices for automating AI workflows. Awareness of AI ethics, including bias mitigation and fairness principles. Strong analytical and problem-solving skills with adaptability to new technologies. Roles and Responsibilities Develop and fine-tune LLMs for tasks like retrieval-augmented generation (RAG). Build and deploy machine learning models using frameworks like TensorFlow, PyTorch, and Keras. Create scalable data pipelines using Apache Spark, Hadoop, and SQL. Conduct data preprocessing, including cleaning, transformation, and feature engineering. Leverage agentic frameworks such as LangGraph, CrewAI, and AutoGen to design advanced AI workflows. Deploy AI models on cloud platforms (AWS, Google Cloud, Azure) and implement CI/CD practices. Develop generative models like GANs for synthetic data generation and analysis. Ensure ethical AI design by mitigating bias and promoting fairness. Troubleshoot and optimize AI systems for performance and scalability.

Job Title: Data Engineer Position Overview: We are seeking a Data Engineer to join our team and work on developing and maintaining our Python-based applications. The Data Engineer will be responsible for designing, developing, testing, and maintaining code for new features while fixing bugs in the existing codebase. The role requires experience with ETL/ELT tools, SQL, Python, and PowerBI to deliver high-quality data integration and reporting solutions. Key Responsibilities Collaborate with the source application team and Data Champions to build and maintain the ETL/ELT pipelines for various source systems across the organization. Utilize applicable tools (e.g., SSIS, APIs) to qualify, extract, standardize/normalize, optimize, and import data from source to target data marts. Demonstrated experience working with Microsoft SQL Server Integration Services (SSIS) to create and deploy ETL packages. Write and optimize complex SQL queries, stored procedures, views, and functions for data extraction and transformation. Work on data analysis projects and continuous improvement programs to support internal projects. Use data visualization and reporting tools like Power BI/SSRS to create and publish reports. Write high-quality, clean, and maintainable code. Collaborate with cross-functional teams to define, design, and ship new features. Identify and fix bugs in existing code and optimize the performance of our applications. Ensure proper documentation for all tasks and deliverables. Requirements 3 to 5 years of experience in ETL/ELT tools, SQL, SSIS, Python, and PowerBI. Solid Python development skills, particularly for data manipulation or back-end API/framework development. Experience with SSIS and Business Objects Data Services, including data governance, master data management, data cleansing, Slowly Changing Dimensions, and Change Data Capture. Experience developing ETL pipelines using Python and SSIS to support data warehouse and data pipeline automation. Proven ability to write complex SQL queries and optimize them for performance. Experience managing production support for ETL projects and handling deployment activities. Tools and Activities Experience Data Integration and Management Tools: SQL Server Integration Services (SSIS), APIs, Python, SQL Server. Databases: SQL Server, MySQL, DB2. Data Visualization Tools: Microsoft Power BI, SSRS. Cloud: Azure (preferred). Skill Sets: Python, SQL Server, PowerBI, Azure (plus). Desired Skills Strong analytical skills with the ability to write and optimize SQL queries effectively. Excellent problem-solving and troubleshooting skills, particularly in a production support environment. Ability to work independently and manage multiple projects simultaneously. Strong written and verbal communication skills for reporting and collaborating across teams.

Job Overview Join us in shaping both our product and company culture! We re looking for an experienced engineer who thrives in a collaborative environment and enjoys experimenting with innovative solutions for building a blockchain ecosystem. You ll work alongside a supportive team that values agility, quality, and delivering impactful results. What You ll Do Play a core role in defining and implementing our product strategy. Collaborate closely with the team to deliver high-quality solutions with the right balance of speed and precision. Own the full lifecycle of projects from ideation to production release. Design and build scalable backend systems and ETL pipelines for processing financial market data. Work with modern tools and technologies such as Node.js, Typescript, AWS, Docker, Terraform, and Kafka. Contribute to backend architecture, code implementation, and strategies for improving system performance over time. 8+ years of engineering experience, with a strong foundation in distributed systems. Proficiency in Node.js, JavaScript, and Python. Experience with serverless technologies like AWS Lambda and AWS Fargate. Proven track record of running production APIs (REST/GraphQL). Experience working with Puppeteer, Playwright, or Cypress. Strong knowledge of relational databases (PostgreSQL, Snowflake). Hands-on experience managing complex software systems in AWS. Bonus Skills Experience with Rust, Solidity, and smart contract development/testing. Familiarity with Kafka and building ETL pipelines.

Bytes Technolab is a comprehensive web application development company, established in 2011, with a global presence in the USA, Australia, and India. Since its inception, Bytes has consistently demonstrated excellence in innovative web development, eCommerce solutions, and mobile application development services. Roles & Responsibilities: Cloud Infrastructure Solutions: Design, implement, and maintain scalable and reliable cloud infrastructure solutions leveraging GCP and AWS services. Kubernetes Cluster Management: Deploy, configure, and manage Kubernetes clusters on both GCP and AWS, ensuring smooth integration with RabbitMQ for reliable messaging. Collaboration with Development Teams: Collaborate with software development teams to optimize application deployment, monitoring, and performance in a cloud environment. RabbitMQ Management: Implement and manage RabbitMQ messaging queues for efficient communication between services, ensuring reliability and performance. CI/CD Pipeline Management: Develop and maintain CI/CD pipelines for automated application deployment and release management, integrating RabbitMQ as part of the pipeline. Infrastructure as Code (IaC): Implement IaC using tools like Terraform or CloudFormation, ensuring consistent and repeatable deployments across the cloud environment. Monitoring and Troubleshooting: Monitor and troubleshoot system and application performance, including RabbitMQ queue performance optimization. Compliance and Security: Conduct regular audits to ensure adherence to industry best practices and security standards, with a particular focus on messaging queue security. Cross-Functional Collaboration: Work with cross-functional teams to resolve infrastructure and deployment-related issues, with a focus on messaging queues and cloud environments. Continuous Learning and Evaluation: Stay up-to-date with the latest trends in DevOps, cloud computing, and messaging queue technologies to evaluate their applicability to the organization. Skills Required: Educational Background: Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience. Experience: Proven experience as a DevOps Engineer or in a similar role, with a strong focus on Kubernetes, GCP, AWS, and RabbitMQ. Kubernetes Expertise: In-depth knowledge of Kubernetes, including cluster management, deployment, and troubleshooting in both GCP and AWS environments. Cloud Platforms Knowledge: Hands-on experience with GCP services (e.g., compute engine, Kubernetes engine, cloud storage) and AWS services (e.g., EC2, ECS/EKS, S3, RDS). Scripting and Automation: Proficiency in scripting languages such as Python, Bash, or PowerShell for automating infrastructure management and application deployments. Configuration Management: Familiarity with configuration management tools like Ansible, Chef, or Puppet. CI/CD Principles: Solid understanding of CI/CD principles, with experience using tools like Jenkins, GitLab CI/CD, or CircleCI. Containerization and Orchestration: Experience with Docker for containerization and Kubernetes for container orchestration. RabbitMQ Expertise: Strong understanding of RabbitMQ, including setup, configuration, clustering, and ensuring message reliability. Problem-Solving Skills: Strong problem-solving skills with the ability to troubleshoot complex issues in a distributed, cloud-based environment. Communication & Collaboration: Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders. Certifications: Professional certifications related to cloud computing, Kubernetes, DevOps, or RabbitMQ are highly desirable. Additional Skills: Experience with other cloud platforms like Azure or IBM Cloud is a plus. Familiarity with monitoring and logging tools such as Prometheus, Grafana, ELK Stack, or Splunk. Understanding of infrastructure security principles, particularly for messaging queues. Experience with database administration (SQL or NoSQL) is beneficial. Familiarity with Agile development methodologies. Qualification : Bachelor's degree in computer science, engineering, or a related field (or equivalent work experience).

Sr. DevOps Engineer To qualify for the role you must have: Experience: 10+ Years Skills: Azure DevOps, MySQL, CI/CD, Docker, Python, Shell, Cloud Services (MS SQL/MySQL, NoSQL), Swagger, REST Qualifications: MCA/ BCA / BEIT / BECE /MSc.IT /Bsc.ITYour key responsibilities: Work on a UK Time Zone (11:30 AM to 9 PM IST) schedule to ensure at least 6 hours overlap with the client s team. Provide call support on a rotational basis, ensuring smooth operations and timely resolutions. Lead DevOps initiatives with 7+ years of experience, including at least 3 years of hands-on experience with Azure DevOps. Act as a DevOps Lead, mentoring junior engineers and driving the implementation of best practices for CI/CD, cloud infrastructure, and automation. Ensure proficiency in Azure Infrastructure and Azure DevOps, contributing to the design, deployment, and management of scalable and secure infrastructure. Maintain a constant learning attitude, staying updated on the latest DevOps technologies and trends. Skills and attributes for success: Deep experience with CI/CD tools and hands-on expertise in building and managing pipelines. Strong knowledge of C#, .NET, .NET Core, and working with databases (SQL, MySQL, NoSQL). Excellent team collaboration skills, with the ability to work effectively across development, database, and technical support teams. Strong organizational and time management skills, with the ability to manage multiple projects simultaneously. Awareness and familiarity with Agile processes, ensuring efficient sprint planning and task management. A strong sense of ownership and responsibility for project success, with a focus on delivering high-quality, reliable infrastructure solutions. Proficiency with enterprise-grade tools like Jira, Confluence, and other project management/requirements management solutions. Expert knowledge in automation and configuration management technologies, capable of designing, planning, and deploying large-scale solutions. Experience implementing monitoring and logging solutions for cloud or hybrid environments, particularly in containerized environments. Security-focused design and implementation experience is a plus, with an understanding of how to build secure DevOps pipelines. Hands-on experience with Application Health Monitoring, alerting, and first-level resolution for technical issues. Proven ability to design and implement secure, reliable, and scalable systems. Experience working with Swagger, REST APIs, and integrating with third-party APIs. Strong scripting skills in Python, Shell, and the ability to automate tasks efficiently. Deep understanding of programming languages and their build strategies, particularly in CI/CD pipelines. Complete design and implementation of CI/CD processes, optimizing for scalability and reliability. Experience in the management of cloud services for MS SQL/MySQL and NoSQL databases. Familiarity with virtualization technologies (e.g., hypervisors). Understanding of ISO 27001 and GDPR compliance frameworks. Qualification : MCA/ BCA / BEIT / BECE /MSc.IT /Bsc.IT

Description We are looking for software engineers to join our engineering team in Ahmedabad. The primary responsibility will be to help design and develop Enterprise Software for our Global Fortune 500 clients in Data Analytics, Security and Cloud segments. The job requires expertise on Core & Advanced Python with experience in developing REST API using any framework. Responsibilities Achieves organization goals by defining, integrating, and upgrading a comprehensive architecture to support Java applications. Responsible for providing expertise in software development life cycle, from concept, architecture, design, implementation, & testing. Leading & mentoring small sized team. Ensuring the code reviews & development best practices / processes to be followed. Be part of regular client communication. Estimates efforts, identify risks & provide technical support whenever needed. Ensures effective people management (performance reviews & feedback at very minimal level) & task management for smooth execution. Demonstrates ability to multitask & re-prioritize responsibilities based on dynamic requirements. Requirements 2+ years of experience in software architecture, system design and development Extensive software development experience in Python Experience in developing RESTful Web services using any framework Strong Computer Science fundamentals in Object-Oriented Design and Data Structures Experience with Linux programming, or expertise in the areas of Big Data, Networking, Storage, or Virtualization is a big plus Experience with working on Agile Software development methodology Excellent oral and written communication skills, problem-solving and analytical skills Must be able to succeed with minimal resources and supervision Minimum qualification of BE in Computer Science or equivalent Qualification : Minimum qualification of BE in Computer Science or equivalent