Talent Pipelines Jobs in Ahmedabad

Job Title: Senior Software Engineer Location: Ahmedabad Employment Type: Full-Time Experience Required: 5+ Years Position Overview: We are seeking an experienced Senior Software Engineer with a strong background in C# and .NET technologies to join our team in Ahmedabad. The ideal candidate will have extensive backend development experience, a deep understanding of architecture design patterns, and a proven track record of delivering scalable and maintainable software solutions. Key Responsibilities: Design, develop, and maintain backend applications using C# and .NET Core Work extensively with .NET Framework 4.0+ and ASP.NET technologies Apply high-level technical architecture design patterns and develop detailed low-level designs Collaborate effectively in an agile development environment Use version control systems like Git/GitHub for source code management Analyze, troubleshoot, and solve complex software problems Contribute to code reviews, mentoring, and knowledge sharing within the team Understand and implement microservice architecture principles Required Skills & Qualifications: Strong grasp of Object-Oriented Programming (OOPS) concepts with C# Proven experience in .NET Framework 4.0+ and backend development using .NET Core and ASP.NET Experience working in agile teams and understanding of agile methodologies Familiarity with version control systems such as Git/GitHub Strong analytical, problem-solving, and communication skills Basic understanding of microservices architecture Good to Have: Experience with Identity Framework for authentication/authorization Knowledge of MongoDB or other NoSQL databases Hands-on experience with CI/CD pipelines, preferably Azure DevOps Immediate availability or notice period of up to 1 month

Job Title: Sr. Python / AI-ML Developer Location: Ahmedabad Experience: 3+ Years Qualification: Graduate in any discipline About Us: At Bytes Technolab, we strive to foster innovation through a robust digital infrastructure and a dynamic work environment. Our goal has always been to empower our developers with cutting-edge tools and technologies, enabling them to deliver world-class software solutions to startups, enterprises, and everything in between. We are looking for a highly skilled and driven Sr. Python / AI-ML Developer to join our expanding AI/ML team. If you're passionate about solving complex problems with intelligent solutions, we d love to hear from you. Key Responsibilities: Develop, train, and optimize machine learning and deep learning models using Python and its ML/AI ecosystem (NumPy, Pandas, scikit-learn, etc.). Work with leading ML/AI frameworks such as PyTorch, TensorFlow, Keras, OpenCV, and FaceNet. Leverage GPU acceleration (CUDA, cuDNN) for deep learning development and optimization. Design and implement solutions in computer vision, natural language processing (NLP), and neural networks. Work with large language models (LLMs) like GPT, BERT, and LLaMA, including tasks such as fine-tuning, embedding-based retrieval (RAG), and prompt engineering. Develop agentic AI systems using frameworks like LangChain, AutoGPT, BabyAGI, and custom orchestration pipelines. Translate complex business requirements into scalable AI/ML solutions. Deploy models on cloud platforms (AWS SageMaker, Azure ML, or Google AI Platform). Build and manage robust ETL pipelines, handle data preprocessing, and perform feature engineering. Implement MLOps workflows using tools such as MLflow, Kubeflow, or TensorFlow Extended (TFX). Containerize and orchestrate scalable deployments using Docker and Kubernetes. Manage model evaluation, A/B testing, continuous training pipelines, and CI/CD for ML systems. Work closely in Agile/Scrum teams and contribute to collaborative solution design. Ensure AI solutions adhere to ethical principles, and are fair, interpretable, and secure. Required Skills & Qualifications: 3+ years of professional experience in AI/ML model development and deployment. Expertise in Python and relevant libraries for AI/ML and data science. Strong grasp of neural networks, computer vision, and NLP fundamentals. Experience working with LLMs and agent-based architectures. Proficiency in cloud-based ML deployment and automation. Solid experience with containerization (Docker) and orchestration (Kubernetes). Strong problem-solving and analytical skills. Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders. Familiarity with data versioning (DVC, Delta Lake) and continuous model delivery. Understanding of responsible AI practices including fairness and bias mitigation. Work on cutting-edge technologies in a high-growth, collaborative environment. Opportunity to lead AI/ML projects from ideation to production. Exposure to real-world applications of LLMs, MLOps, and agentic systems. Learn and grow with a passionate team of engineers, innovators, and thinkers.

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: HR IT Recruiter (Female) Experience: 6 Months to 1 Year Location: Rajkot, Gujarat Vacancy: 1 Job Type: Full-Time Job Overview: We are looking for a proactive and detail-oriented HR IT Recruiter (Female) to join our team in Rajkot. The ideal candidate will be responsible for sourcing, screening, and hiring IT talent while collaborating closely with hiring managers and participating in recruitment events. This role offers great exposure to the full recruitment lifecycle in a dynamic IT environment. Key Responsibilities: Design and update accurate, compelling job descriptions for IT positions. Source potential candidates through various online platforms such as LinkedIn, Naukri.com, social media, and other professional channels. Craft engaging recruitment emails to attract both active and passive candidates. Conduct interviews via phone, video, and in-person to evaluate candidate suitability. Provide hiring managers with shortlists of qualified candidates for further consideration. Send job offer emails and address candidate questions related to compensation and benefits. Participate in job fairs, in-house recruitment drives, and campus hiring events. Lead campus hiring initiatives for internships and placements. Collaborate with department managers to forecast and plan future hiring needs. Manage onboarding formalities for new hires to ensure smooth integration. Requirements & Skills: Proven experience as an HR IT Recruiter or similar recruitment role (6 months to 1 year). Strong knowledge of sourcing techniques and recruitment platforms. Understanding of referral programs and talent acquisition strategies. Excellent verbal and written communication skills. Ability to manage multiple priorities and work effectively with diverse teams. Personal Attributes: Proactive, organized, and detail-oriented. Strong interpersonal skills with a customer-focused approach. Ability to work independently and collaboratively. Opportunity to grow your HR career in a fast-paced IT environment. Work with a supportive team based in Rajkot. Exposure to end-to-end recruitment processes including campus hiring. Apply now to become a vital part of our HR team and help us attract top IT talent!

Job Title: HR Recruiter / Talent Acquisition Specialist Location: Ahmedabad, India Job Overview: As an HR Recruiter, you will play a key role in sourcing, screening, and engaging top talent to support our growing organization. You will work closely with hiring managers, coordinate interview processes, and contribute to building a strong talent pipeline through creative sourcing strategies and excellent candidate engagement. Key Responsibilities: Source and attract potential candidates using job portals, social media platforms, and professional networks. Screen resumes and conduct initial telephonic interviews to shortlist qualified candidates. Schedule and coordinate interviews between candidates and hiring managers. Maintain and update recruitment databases with accurate candidate information. Generate leads and build a pipeline of potential candidates using innovative sourcing techniques. Assist in talent acquisition planning to meet current and future hiring needs. Provide timely updates and reports on recruitment progress to the HR team. Support employer branding initiatives and participate in recruitment drives and events. Qualifications & Skills: Bachelor s or Master s degree in Human Resources, Business Administration, or a related field. Strong verbal and written communication skills. Basic understanding of recruitment processes, sourcing strategies, and candidate screening. Familiarity with popular job portals and lead generation tools. Excellent organizational skills with great attention to detail. A proactive, people-oriented approach with strong interpersonal skills. Ability to work collaboratively in a fast-paced, dynamic environment. Launch your HR career in a supportive and growth-oriented environment. Gain hands-on experience with end-to-end recruitment and talent acquisition. Work with a collaborative team committed to people and culture excellence. Qualification : Bachelors or Masters degree in Human Resources, Business Administration, or a related field.

Job Title: HR - Talent Acquisition Experience: Fresher - 2 Years Job Overview We are seeking a dynamic and motivated HR Recruiter to join our team. The ideal candidate will be passionate about recruitment, have excellent communication skills, and a people-oriented approach to talent acquisition. This role is an excellent opportunity for freshers with a degree in Human Resources to start their career in recruitment. Key Responsibilities Source potential candidates through various job portals, social media, and networking channels. Screening resumes and conducting initial telephonic interviews to shortlist candidates. Schedule interviews and coordinate with candidates and hiring managers. Maintain and update the recruitment database with accurate and relevant data. Generate leads for potential candidates through innovative sourcing techniques. Assist in building a talent pipeline for current and future hiring needs. Provide regular updates and reports on recruitment progress to the team. Assisting in employer branding initiatives and recruitment drives. Qualifications and Skills Bachelor s/Master s degree in Human Resources or related field. Strong verbal and written communication skills. Basic understanding of recruitment processes and sourcing techniques. Familiarity with job portals and lead generation strategies. Strong organizational skills with attention to detail. A proactive and people-oriented mindset. Qualification : Bachelors/Masters degree in Human Resources or related field.

Position: AI/ML Python Developer Job Overview: We are seeking an experienced AI/ML Python Developer to join our dynamic team. In this role, you will leverage cutting-edge technologies to build and deploy machine learning models, contribute to innovative projects, and work with large language models (LLMs) and retrieval-augmented generation (RAG) systems. Key Responsibilities: Develop and optimize machine learning models using Python, ensuring high performance and accuracy. Utilize frameworks like TensorFlow and PyTorch for model training, evaluation, and deployment. Process and analyze data using tools such as scikit-learn, NumPy, and pandas to build robust data pipelines. Implement natural language processing techniques, including text preprocessing, tokenization, and embeddings. Work with large language models such as GPT, BERT, T5, and LLaMA, including fine-tuning and prompt engineering. Build and manage RAG pipelines with vector databases such as FAISS, Pinecone, or Chroma. Develop multi-agent systems using frameworks like LangChain, LangGraph, or CrewAI. Design and implement APIs for seamless model deployment using FastAPI, Flask, or Django. Collaborate effectively using Git/GitHub for version control and to ensure efficient team workflows. Contribute to the development, training, and deployment of models using Hugging Face tools. Work with both SQL and NoSQL databases to handle and preprocess large datasets. Required Skills & Experience: Proficiency in Python, especially for AI/ML model development. Experience with machine learning and deep learning frameworks, particularly TensorFlow and PyTorch. Strong understanding of data science concepts and tools like scikit-learn, NumPy, and pandas. Expertise in Natural Language Processing (NLP) techniques, including text preprocessing and embeddings. Familiarity with transformer models such as GPT, BERT, T5, and LLaMA, along with fine-tuning and prompt engineering. Experience with Retrieval-Augmented Generation (RAG) and vector databases like FAISS, Pinecone, or Chroma. Knowledge of multi-agent systems and frameworks such as LangChain, LangGraph, or CrewAI. Strong skills in API development using FastAPI, Flask, or Django. Solid understanding of version control using Git/GitHub. Hands-on experience with Hugging Face for model training and deployment. Location: Ahmedabad, Gujarat, India (Ognaj, eInfochips) Employment Type: Full-time Job Category: Engineering Services

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.

Experience 3 Years No of Openings 2 Responsibilities Collaborate with clients and teams to understand the latest candidate requirements. Develop a well-structured recruitment strategy. Source qualified candidates from social media, internal databases, and different job portals. Make changes in approaches according to the latest industry trends. Assist with budget preparation and HR-related tasks. Screen and filter out candidates by evaluating against the latest standards. Analyze a candidate s capabilities via pre-screening assessments and calls. Conduct interviews using a variety of methods, like video, in-person, or telephone. Keep track of applicants at every stage and follow up. Create new leads by participating in tech conferences and meetups. Keep a record of job responsibilities through job analyses. Skills A bachelor s in HR or any related field. Excellent sourcing and evaluation skills. Proven experience in building the talent pool for the IT department via different recruitment platforms and processes. Familiarity with interview formats, such as Skype, Zoom, Teams, etc. Solid understanding of phone interviews, group interviews, and other interview methods. First-hand experience using Applicant Tracking System (ATS) and recruitment software. Good communication and decision-making skills. Qualification : A bachelors in HR or any related field.

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 Description: We are seeking a Snowflake Lead to design and manage scalable data pipelines and solutions on Snowflake. The ideal candidate will have a strong understanding of Snowflake architecture and data warehousing concepts, along with hands-on experience in ETL processes, SQL optimization, and performance monitoring. Experience with Fivetran is a plus. Key Responsibilities: Design, build, and maintain scalable data pipelines using Snowflake. Implement and manage Snowpipe, Time Travel, and Fail Safe features. Develop and optimize SQL queries for data extraction and transformation. Build and maintain ETL processes to integrate data from multiple sources into Snowflake. Monitor and troubleshoot data warehouse performance issues. Ensure data security and governance practices are in place. Collaborate with cross-functional teams to support business intelligence and reporting requirements. Apply a deep understanding of Snowflake architecture to deliver robust solutions. Experience with Fivetran is an added advantage. Qualifications: Bachelor s degree in Computer Science, Information Technology, or a related field. Proven experience with Snowflake and data warehousing concepts. Proficiency in SQL and ETL tools (e.g., Talend, Informatica, etc.). Strong problem-solving and analytical skills. Excellent collaboration and communication skills. Qualification : Bachelors degree in Computer Science, Information Technology, or a related field.

Position: Divisional Lead Location: Ahmedabad Department: Operations / Project Management Experience Required: 5 7 Years Role Overview: We are seeking a seasoned and dynamic Divisional Lead to oversee the end-to-end execution of smart meter installation and maintenance projects in the region. The ideal candidate will possess strong leadership skills, a background in electrical engineering, and hands-on experience in the power transmission and distribution sector. This role demands a strategic thinker who can drive project success, ensure quality compliance, and lead cross-functional teams effectively. Key Responsibilities: - Project Planning & Execution: Develop and manage detailed project plans for smart meter installation and maintenance. Coordinate with cross-functional teams to ensure timely and efficient execution. Track project milestones, identify risks, and implement corrective actions to mitigate delays or issues. Team Leadership: Lead, guide, and mentor a team of field technicians to ensure high performance and accountability. Promote adherence to safety standards and ensure compliance with company and industry protocols. Foster a culture of collaboration, discipline, and continuous improvement. Quality Assurance: Implement robust quality assurance processes to ensure installations meet technical and regulatory standards. Conduct periodic site audits and inspections to monitor compliance and workmanship. Address quality issues promptly and enforce corrective/preventive measures. Stakeholder Management: Maintain effective communication and alignment with internal stakeholders including Circle Heads, Project Heads, and department leads. Liaise with external partners, vendors, and clients to ensure smooth collaboration and satisfaction. Resolve client concerns and inquiries in a timely and professional manner. Budget Oversight: Work closely with the finance team to prepare and monitor project budgets. Ensure all project expenditures are tracked and managed within allocated limits. Report on budget variances and implement cost-control measures when necessary. Qualifications & Skills: Education: Bachelor s degree in Electrical Engineering or a related discipline. Experience: 5 7 years of experience in project management, preferably in the power transmission & distribution sector. Technical Expertise: Strong knowledge of smart metering systems, electrical distribution, and power infrastructure. Awareness of industry trends, regulatory standards, and emerging technologies in smart metering. Project Management: Proven ability to plan, budget, schedule, and manage project risks and resources. Experience in managing field operations and large-scale technical deployments. Soft Skills: Excellent communication, negotiation, and stakeholder management skills. Ability to adapt to evolving project needs and technological advancements. Compliance: Familiarity with local and national standards governing smart meter installations and power distribution. Qualification : Bachelors degree in Electrical Engineering or a related discipline

Job Title: DevOps Engineer Location: Ahmedabad Education Qualification: B.E./B.Tech/MCA/M.E./M.Tech Company Profile: Media NV was established in 2014 and is headquartered in North America as a multinational company with offices in Ahmedabad and Chandigarh. At Media NV, we treat our employees like family. Our core focus is on growing your business because your success drives our growth. Our passionate and driven team combines creativity, technology, and marketing to fully integrate your business into the online world, providing ample opportunity for brand expansion. Whether you require local or outsourced services, we align our goals with yours and deliver maximum value. Role Overview: As a DevOps Engineer at Media NV, you will play a critical role in improving our customer experience by building and maintaining efficient, secure, and scalable infrastructure. You will collaborate closely with developers and engineers to deploy product updates, troubleshoot production issues, automate processes, and ensure reliable software delivery. You will also be involved in project planning and management decisions to help drive the success of our projects. Key Responsibilities: Build and implement development tools and infrastructure to enhance deployment and release processes. Automate and improve development workflows and system maintenance. Deploy updates, fixes, and provide Level 2 technical support. Develop integration software for internal backend systems. Conduct root cause analysis for production issues and implement solutions. Create scripts for automation and visualization of processes. Design troubleshooting and maintenance procedures. Monitor server performance and logs to minimize downtime and ensure system reliability. Ensure security of systems against cybersecurity threats. Collaborate with software engineers to maintain development best practices and quality standards. Manage both local and cloud infrastructure environments. Required Skills and Qualifications: Proven experience as a DevOps Engineer or similar software engineering role. Proficiency with Git and GitHub workflows. Basic knowledge of JavaScript frameworks and deployment processes. Working knowledge of SQL and NoSQL databases. Strong problem-solving skills and a proactive attitude. Familiarity with software development and deployment life cycle. Competitive salary with guaranteed incremental increases. 5-day work week (Monday to Friday). No sandwich leave policy. Comprehensive health insurance benefits. Regular team gatherings and outings. Supportive and growth-oriented work environment. Generous leave policy. Excellent platform for continuous learning and career development. Recognition and rewards for your contributions. Apply now and be a part of a passionate team that values your skills and helps you grow! Qualification : B.E./B.Tech/MCA/M.E./M.Tech

Data Scientist Roles and Responsibilities: Data Mining & Extraction: Extract valuable, usable data from various data sources to support business objectives and analytic systems development. Machine Learning & Model Optimization: Utilize machine learning techniques to select relevant features, build, and optimize classifiers for data analysis. Data Preprocessing & Cleansing: Perform preprocessing tasks on both structured and unstructured data to prepare it for in-depth analysis, ensuring its quality and accuracy. Enhancing Data Collection: Improve data collection procedures to capture all necessary information, enabling the development of robust analytic systems. Data Validation & Integrity: Cleanse and validate data to ensure its integrity, making it suitable for analysis and predictive modeling. Pattern Analysis & Solution Development: Analyze large datasets to identify patterns and develop insights, helping to solve complex business problems. Prediction & Algorithm Development: Design and develop predictive systems and machine learning algorithms to deliver actionable insights and support decision-making. Result Presentation: Communicate findings and insights clearly to both technical and non-technical stakeholders, ensuring understanding and adoption. Solution Proposal & Strategy Development: Propose innovative solutions and strategies to tackle business challenges, driving data-driven decisions. Collaboration with Teams: Work closely with Business and IT teams to align data science initiatives with organizational goals and ensure seamless integration with existing systems. Requirements: Educational Background: Bachelor s or Master s degree in Computer Science, Engineering, or a related field. Experience & Leadership: Proven experience leading data architecture projects and teams, with a strong track record of delivering data-driven solutions. Communication & Collaboration Skills: Excellent communication, collaboration, and interpersonal skills, with the ability to effectively convey technical concepts to various audiences. Adaptability: Ability to thrive in a fast-paced, dynamic environment, managing multiple priorities and deadlines effectively. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field.

Position: Senior Engineer/Technical Lead (DevOps Engineer - Azure) Job Description: Key Responsibilities: Azure Cloud Management: Design, deploy, and manage Azure cloud environments. Ensure optimal performance, scalability, and security of cloud resources using services like Azure Virtual Machines, Azure Kubernetes Service (AKS), Azure App Services, Azure Functions, Azure Storage, and Azure SQL Database. Automation & Configuration Management: Use Ansible for configuration management and automation of infrastructure tasks. Implement Infrastructure as Code (IaC) using Azure Resource Manager (ARM) templates or Terraform. Containerization: Implement and manage Docker containers. Develop and maintain Dockerfiles and container orchestration strategies with Azure Kubernetes Service (AKS) or Azure Container Instances. Server Administration: Administer and manage Linux servers. Perform routine maintenance, updates, and troubleshooting. Scripting: Develop and maintain Shell scripts to automate routine tasks and processes. Helm Charts: Create and manage Helm charts for deploying and managing applications on Kubernetes clusters. Monitoring & Alerting: Implement and configure Prometheus and Grafana for monitoring and visualization of metrics. Use Azure Monitor and Azure Application Insights for comprehensive monitoring, logging, and diagnostics. Networking: Configure and manage Azure networking components such as Virtual Networks, Network Security Groups (NSGs), Azure Load Balancer, and Azure Application Gateway. Security & Compliance: Implement and manage Azure Security Center and Azure Policy to ensure compliance and security best practices. Required Skills and Qualifications: Experience: 5+ years of experience in cloud operations, with a focus on Azure. Azure Expertise: In-depth knowledge of Azure services, including Azure Virtual Machines, Azure Kubernetes Service, Azure App Services, Azure Functions, Azure Storage, Azure SQL Database, Azure Monitor, Azure Application Insights, and Azure Security Center. Automation Tools: Proficiency in Ansible for configuration management and automation. Experience with Infrastructure as Code (IaC) tools like ARM templates or Terraform. Containerization: Hands-on experience with Docker for containerization and container management. Linux Administration: Solid experience in Linux server administration, including installation, configuration, and troubleshooting. Scripting: Strong Shell scripting skills for automation and task management. Helm Charts: Experience with Helm charts for Kubernetes deployments. Monitoring Tools: Familiarity with Prometheus and Grafana for metrics collection and visualization. Networking: Experience with Azure networking components and configurations. Problem-Solving: Strong analytical and problem-solving skills, with the ability to troubleshoot complex issues. Communication: Excellent communication skills, both written and verbal, with the ability to work effectively in a team environment. Preferred Qualifications: Certifications: Azure certifications (e.g., Azure Administrator Associate, Azure Solutions Architect) are a plus. Additional Tools: Experience with other cloud platforms (AWS, GCP) or tools (Kubernetes, Terraform) is beneficial. Location: IN-GJ-Ahmedabad, India-Ognaj (eInfochips) Time Type: Full time Job Category: Engineering Services "

Job Title: AI/ML Developer Experience: 2-3 Years Positions Available: 02 Qualification: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Key Responsibilities: Develop and deploy AI/ML solutions, leveraging expertise in machine learning, deep learning, and generative AI. Design, implement, and optimize models using popular libraries like TensorFlow, PyTorch, scikit-learn, and others. Apply deep learning, computer vision, NLP, and reinforcement learning techniques to real-world problems. Work with Large Language Models (LLMs), including training custom models and integrating third-party LLM APIs like OpenAI. Conduct data preprocessing, feature engineering, exploratory data analysis (EDA), and model tuning to ensure high-quality results. Analyze complex data sets, create visualizations, and leverage statistical techniques to guide decision-making. Collaborate effectively with cross-functional teams and stakeholders to ensure successful project delivery. Continuously stay up-to-date with emerging technologies, implementing them to enhance products and services. Contribute to an Agile development environment with familiarity in DevOps practices for CI/CD. Skills & Qualifications: Experience: At least 2 years of hands-on experience in AI/ML development with a proven track record of successful project delivery. Technical Skills: Proficiency in Python, C++, R, or Scala. Strong foundation in machine learning and deep learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, OpenCV, and others. Experience in working with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB). Familiar with API frameworks like Django, Flask, and FastAPI (a plus). Key Areas of Expertise: Data preprocessing, feature engineering, model evaluation, and optimization. Experience with LLMs and integrations with third-party APIs like OpenAI. Ability to work with cloud platforms and ML Ops is a plus. Personal Attributes: Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Proactive, self-motivated, and eager to learn new technologies. Comfortable working both independently and as part of a team. Additional Pluses: Familiarity with Agile methodologies and DevOps practices. Knowledge in data visualization tools and techniques is an advantage. Qualification : Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.

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.