Key Responsibilities: •Develop computer vision solutions for machine learning applications. •Design deep learning models using frameworks like PyTorch, TensorFlow, and OpenCV. •Implement algorithms for object detection, segmentation, classification, and tracking. •Work with large datasets for image processing and develop scalable models. •Deploy models on edge devices to optimize inference efficiency and resource utilization. •Collaborate with data scientists to understand project requirements and deliver solutions. •Implement and evaluate model performance to ensure accuracy and efficiency. •Stay up to date with the latest techniques in deep learning and classical computer vision Qualifications: •Bachelor s degree in Computer Science, or related field. •3+ years of experience in computer vision. •Strong skills in Python and experience with deep learning frameworks like PyTorch and TensorFlow. •Experience with computer vision libraries such as OpenCV. •Proficiency in classical computer vision techniques, including SIFT, SURF, feature extraction, image manipulation, and calibration. •Experience in deploying models to edge devices for real-time computer vision applications. •Strong understanding of Data Structures and Algorithms (DSA) with hands-on coding experience. •Strong experience working with large-scale datasets. •Excellent communication and collaboration skills.
Technical Skills & Experience: Programming Skills: Proficiency in Python, capable of developing AI-driven test scripts. Test Automation: Solid experience in test automation practices. Model Evaluation: Hands-on experience evaluating and testing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and computer vision models. Evaluation Frameworks: Skilled in designing evaluation frameworks to assess AI model performance, accuracy, bias, and safety. Familiarity with open-source evaluation tools such as DeepEval and similar frameworks. Prompt Engineering & Metrics: Knowledge of prompt engineering and LLM evaluation metrics like perplexity, BLEU, ROUGE, and human evaluation techniques. RAG System Testing: Experience in testing RAG systems, including retrieval quality assessment and hallucination detection. Computer Vision Testing: Familiarity with vision model testing methodologies and image processing evaluation. CI/CD Integration: Working knowledge of Continuous Integration/Continuous Deployment (CI/CD) tools like GitLab, Jenkins, or Azure DevOps. Preferred Qualifications Evaluation Framework Proficiency: Hands-on experience with at least one open-source AI evaluation framework, such as DeepEval, is essential. Vector Databases & Embedding Evaluation: Familiarity with vector databases like FAISS or Milvus, and experience in evaluating embedding models for tasks such as similarity search and retrieval. Multimodal AI Systems: Understanding of AI systems that process multiple data modalities (e.g., text, images) and the unique challenges involved in their evaluation. Human-in-the-Loop Evaluation: Experience incorporating human feedback into AI evaluation processes to enhance model performance and reliability Perks and benefits Best of Technology Flexible Working Hours Rewards and Recognition Medical Insurance Round the Clock Snacks Paid Time-Off and Vacation
Responsibilities Experience in a SRE, DevOps, or Systems Engineering role Collaborate with cross-functional teams on CI/CD pipelines using Jenkins & Git. Proficient in monitoring/logging tools (Prometheus, Grafana, etc.) Health insurance Provident fund Flexi working Free meal
What Youll Do: Build and maintain robust, scalable ETL/ELT pipelines for large-scale, high-volume, and multi-modal datasets. Architect and manage data lakes, warehouses, and marts for structured and unstructured data. Collaborate with ML, NLP, and Speech teams to deliver high-quality, ML-ready datasets. Implement data quality checks, lineage tracking, versioning, and compliance controls. Optimize pipeline performance and handle infrastructure reliability and observability (logging, alerting, monitoring). Develop internal tools and workflows to automate ingestion, labeling, and transformation processes. Mentor junior engineers and help establish best practices in data engineering and MLOps. What We’re Looking For: 4+ years of experience in data engineering or backend systems for ML/AI workflows. Advanced SQL skills and experience with analytical databases (PostgreSQL, BigQuery, Redshift, Snowflake). Strong Python or Scala skills for data transformation and pipeline orchestration. Proficiency with workflow tools like Airflow, Prefect, or DBT. Experience with cloud platforms (AWS, GCP, or Azure), object storage (e.g., S3, GCS). Familiarity with big data frameworks (Spark, Hadoop) and distributed computing. Solid understanding of data modeling, partitioning, and performance optimization. Comfort with CI/CD workflows, version control (Git), Docker, and Kubernetes. Nice to Have: Experience with real-time data pipelines using Kafka, Flink, or Spark Streaming. Exposure to ML data lifecycle: labeling, augmentation, training, evaluation. Knowledge of data governance, security, PII compliance, and auditability. Prior leadership experience or ownership of major data initiatives.
Technical Project Manager (Chennai, India) We are seeking an experienced Technical Project Manager to lead and deliver cloud-based software projects hosted on AWS. The ideal candidate should bring deep technical expertise, proven project leadership, and a strong ability to engage with global clients particularly from the US. Apply Now
Were looking for a hands-on Software Engineer to join our growing engineering team. In this role, you ll be working on event-driven architectures using AWS serverless and container services to build scalable, real-time customer interaction platforms using Amazon Chime and Amazon Connect.
We are looking for a skilled AI Engineer with 2+ years of experience to join our team. You will be responsible for designing, developing, and deploying AI/ML models to solve real-world problems. This role requires a strong background in machine learning, deep learning, and software development, along with experience in implementing AI solutions at scale.
Senior Data Engineer (Chennai,India) We re looking for a seasoned Data Engineer with 4+ years of experience to lead the design, development, and optimization of data pipelines and infrastructure powering large-scale machine learning and generative AI systems. Your work will directly support fine-tuning of LLMs, TTS, STT, and translation models. Apply Now
Key Responsibilities: Manage end-to-end delivery of technical projects, with a focus on AWS cloud-based environments. Collaborate with cross-functional teams including engineering, DevOps, QA, and product teams. Own client communication, project updates, and stakeholder alignmentespecially with US-based customers. Implement and champion Agile practices—sprint planning, stand-ups, reviews, retrospectives. Identify and mitigate project risks proactively while ensuring timely delivery. Track and report progress, budgets, and timelines using tools like JIRA, Trello, or MS Project. Ensure adherence to cloud architecture best practices, data security, and high performance. Lead continuous improvement initiatives through retrospectives and feedback loops. Required Qualifications: Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field. 6+ years of experience in technical project management, software engineering, or IT project delivery. Strong understanding of AWS services is mandatory , including EC2, S3, RDS, Lambda, CloudFormation, and CloudWatch. Solid grasp of SDLC, system architecture, APIs, databases, and cybersecurity principles. Familiarity with CI/CD pipelines, DevOps tools, and microservices architecture. Hands-on experience with Agile frameworks and project management platforms. Excellent communication and stakeholder management skills. Experience working with US clients is preferred. Preferred Skills: AWS Certifications (e.g., AWS Certified Solutions Architect or DevOps Engineer). PMP, CSM, or other recognized project management certifications. Budgeting and cost control experience. Knowledge of data privacy and compliance frameworks (e.g., SOC 2, ISO 27001, GDPR)
We are looking for a highly skilled and innovative Test Engineer with a strong focus on Artificial Intelligence and Machine Learning to join our team. You will play a key role in ensuring the quality, reliability, and performance of our cutting-edge AI/ML products and solutions. Your expertise with AI tools, Large Language Models, Computer Vision Models, and Generative AI Techniques will be essential in designing and implementing comprehensive testing strategies. This position offers a unique opportunity to work at the forefront of AI technology and contribute to high-impact developments. Your responsibilities will include: - Designing, developing, and executing comprehensive test plans and test cases for evaluating AI/ML model performance. - Conducting evaluations of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems using innovative methodologies. - Assessing the quality of retrieved information and detecting potential issues in RAG systems. - Evaluating the performance of computer vision models using relevant metrics. - Architecting and implementing robust evaluation frameworks and metrics for assessing AI model performance. - Developing custom evaluation scripts and tools using Python and relevant AI/ML libraries. - Implementing Generative AI-driven solutions to enhance testing processes. - Designing and maintaining automated test scripts to streamline testing of AI-powered features. - Integrating AI-driven test automation into CI/CD pipelines for continuous quality assurance. Qualifications: - Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or related field. - 3+ years of experience as a Test Engineer with a focus on testing AI/ML models. - Hands-on experience evaluating Large Language Models, RAG systems, and computer vision models. - Strong background in designing evaluation frameworks for AI model performance. - Proficiency in Python and AI/ML libraries for test script development. - Experience with test automation frameworks and CI/CD implementation. - Knowledge of test and defect management tools. - Familiarity with Agile development environments. - Relevant certifications in AI/ML or software testing. If you are passionate about AI technology and have the required expertise, we invite you to join our team and make a significant impact on our AI/ML testing processes.,
About the Role We are seeking a skilled Site Reliability Engineer (SRE) with 4 to 5 years of hands-on experience to join our engineering team. In this role, you will be responsible for building and maintaining reliable, scalable, and secure infrastructure to support our applications. You will leverage your expertise in automation, cloud platforms, and monitoring to ensure system availability, performance, and resilience. Key Responsibilities Design, implement, and maintain Infrastructure as Code (IaC) using Terraform . Manage and optimize workloads deployed on Kubernetes (K8s) and containerized environments (Docker, Helm, etc.). Configure, administer, and troubleshoot Linux-based systems ; write automation scripts using Bash/Shell scripting . Deploy, manage, and secure workloads in Azure Cloud environments, leveraging PaaS, IaaS, and managed services. Build and optimize CI/CD pipelines using GitHub Actions for automated deployments and testing. Implement, configure, and maintain robust monitoring and alerting systems using Grafana and Azure-native monitoring tools. Collaborate with developers and architects to improve application reliability, scalability, and performance. Proactively identify and resolve reliability and performance issues across distributed systems. Participate in on-call rotations to support production systems and respond to incidents. Required Skills & Qualifications 4 to 5 years of experience in Site Reliability Engineering, DevOps, or Cloud Infrastructure roles. Strong expertise in Terraform and Infrastructure as Code principles. Hands-on experience with Kubernetes, containerization , and orchestration tools. Proficiency in Linux system administration and Bash/Shell scripting . Solid knowledge of Azure Cloud services (networking, compute, storage, monitoring, security). Experience designing and maintaining CI/CD pipelines with GitHub Actions . Strong understanding of monitoring, alerting, and observability tools (Grafana, Prometheus, Azure Monitor, etc.). Familiarity with incident response, troubleshooting, and root cause analysis in distributed systems. Excellent problem-solving, collaboration, and communication skills. Shifts: First Shift: 03:30 AM - 01:30 PM Second Shift: 08:30 PM - 04:30 AM
Responsibilities: Looking for QA Automation Engineer with experience in Playwright or Robot Framework. Strong skills in test automation, scripting, debugging, and cross-browser testing. Ability to design, execute, and maintain robust test suites. Annual bonus Provident fund Health insurance
We're looking for a hands-on AWS Engineer to join our growing engineering team. In this role, youll be working on event-driven architectures using AWS' serverless and container services to build scalable, real-time customer interaction platforms using Amazon Chime and Amazon Connect. Youll collaborate closely with product, design, and infrastructure teams to deliver end-to-end solutions with both backend and frontend responsibilities. Responsibilities Design and implement event-driven services using AWS Lambda, Step Functions, and ECS Fargate. Build features on top of Amazon Connect and Amazon Chime. Develop backend APIs and services using Node.js or Python. Build and maintain frontend applications in React or Angular, including chat or video integration components. Manage relational and NoSQL data models using Amazon RDS and DynamoDB. Collaborate with other engineers and stakeholders to design and ship features that solve real-world problems. Ensure code quality through testing, reviews, and observability best practices. Required Skills: Strong frontend development skills in React or Angular Solid experience in event-driven architecture, using AWS Lambda, Step Functions, ECS Fargate (or similar container platforms) Hands-on with both Amazon RDS (PostgreSQL or MySQL preferred), Amazon DynamoDB Proficient in at least one programming language preferably Node.js or Python Experience with Amazon Connect, Amazon Chime or similar services Comfortable working with AWS IAM roles, policies, and security best practices Nice to Have: Infrastructure as code experience with CDK, CloudFormation, or Terraform Exposure to real-time communication protocols (WebRTC) Familiarity with monitoring and tracing tools (CloudWatch, X-Ray) • Experience with CI/CD pipelines and automated testing Candidates with relevant AWS Developer or AWS Professional will be given preference.
AI Engineer with 3+ yrs exp in Python, AI/ML, LLM/GenAI. Skilled in model dev, deployment, CI/CD, MLOps, cloud (AWS/GCP/Azure). Build scalable APIs, design POCs, provide AI solutions & client guidance. Strong comms & teamwork required.
About the Role We are seeking a skilled Site Reliability Engineer (SRE) with 4 to 5 years of hands-on experience to join our engineering team. In this role, you will be responsible for building and maintaining reliable, scalable, and secure infrastructure to support our applications. You will leverage your expertise in automation, cloud platforms, and monitoring to ensure system availability, performance, and resilience. Key Responsibilities Design, implement, and maintain Infrastructure as Code (IaC) using Terraform . Manage and optimize workloads deployed on Kubernetes (K8s) and containerized environments (Docker, Helm, etc.). Configure, administer, and troubleshoot Linux-based systems ; write automation scripts using Bash/Shell scripting . Deploy, manage, and secure workloads in Azure Cloud environments, leveraging PaaS, IaaS, and managed services. Build and optimize CI/CD pipelines using GitHub Actions for automated deployments and testing. Implement, configure, and maintain robust monitoring and alerting systems using Grafana and Azure-native monitoring tools. Collaborate with developers and architects to improve application reliability, scalability, and performance. Proactively identify and resolve reliability and performance issues across distributed systems. Participate in on-call rotations to support production systems and respond to incidents. Required Skills & Qualifications 4 to 5 years of experience in Site Reliability Engineering, DevOps, or Cloud Infrastructure roles. Strong expertise in Terraform and Infrastructure as Code principles. Hands-on experience with Kubernetes, containerization , and orchestration tools. Proficiency in Linux system administration and Bash/Shell scripting . Solid knowledge of Azure Cloud services (networking, compute, storage, monitoring, security). Experience designing and maintaining CI/CD pipelines with GitHub Actions . Strong understanding of monitoring, alerting, and observability tools (Grafana, Prometheus, Azure Monitor, etc.). Familiarity with incident response, troubleshooting, and root cause analysis in distributed systems. Excellent problem-solving, collaboration, and communication skills. Shifts: First Shift: 03:30 AM - 01:30 PM Second Shift: 08:30 PM - 04:30 AM
We are seeking a skilled Automation Test Engineer with hands-on experience in Playwright or Robot Framework. The ideal candidate will be responsible for designing, developing, and executing automated test scripts to ensure the quality and reliability of our web and API-based applications. Responsibilities Design, develop, and maintain automated test suites using Playwright or Robot Framework. Collaborate with development and QA teams to understand product requirements and define test strategies. Perform UI and API automation testing across multiple platforms and browsers. Develop test plans, test cases, and test data for functional and regression testing. Integrate automated tests into CI/CD pipelines using tools like Jenkins or GitHub Actions. Identify, document, and track software defects and ensure timely resolution. Participate in Agile ceremonies, including sprint planning, reviews, and retrospectives. Apply BDD/TDD methodologies in test development. Conduct performance testing using tools like JMeter or LoadRunner (optional). Maintain test environments and ensure effective test coverage. Requirements 2+ years of experience in automation testing using Playwright or Robot Framework. Proficiency in JavaScript/TypeScript (for Playwright) or Python (for Robot Framework). Strong understanding of software testing methodologies and SDLC. Experience with test management tools like JIRA, Zephyr Scale, or TestRail. Familiarity with version control systems (Git). Good knowledge of HTML, CSS, and DOM structure. Strong analytical and debugging skills. Excellent communication and documentation abilities. This job was posted by Thamizh Selvan DK from Grootan Technologies.
We are looking for a skilled AI Engineer with 3+ years of experience to join our team. You will be responsible for designing, developing, and deploying AI/ML models to solve real-world problems. This role requires a strong background in machine learning, deep learning, and software development, along with experience in implementing AI solutions at scale. Requirements Work with Python, LLM/GenAI frameworks and tools AI/ML end-to-end solutions developing CI/CD pipelines development, LLM model containerizing and deployment on cloud or premise. Models testing and follow-up maintenance. All stages of ML model life cycle ensuring and support. Design prototypes and POCs to demonstrate solution feasibility and value. Provide architecture solution. Research, design, build, and train innovative applications of LLMs to solve complex real-world problems. Provide technical guidance to clients adopting LLM technologies Qualifications Experience in AI/ML technologies and software engineering, Minimum 1+ years of hands-on experience with Python & shell scripting 1+ years of experience building and maintaining scalable API solution Experience with AWS, GCP or Microsoft Azure Experience with MLOps, CI/CD pipeline development, containerization, model deployment in test and production environments Be a team player, fluent in English and ability to clearly communicate complex LLM capabilities and limitations to non-technical stakeholders.utline the day-to-day responsibilities for this role.
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