5 ai ml engineer jobs found

Position: AI ML Engineer Job Description: 2 to 5+ years of experience in understanding the problem statement, data handling/triage, selecting and improving neural network models using deep learning frameworks to solve business problems. Excellent hands-on Coding in Python (mandatory), C/C++ or Java. Experience in developing AI/ML/DL models by using transfer learning or from scratch. Reasonably good knowledge on leading deep learning frameworks like Tensorflow, PyTorch, ONNX, Keras and others. Working experience in computer vision models like Yolo, Mobilenet, Resnet etc. Good understanding and working knowledge of AI/ML/DL on Edge (for e.g. Nvidia Jetson family, Qualcomm, Intel, Rpi). Thorough understanding and experience of DL/AI/ML lifecycle - full neural network pipeline, starting from data collection to model building to experimental framework to data analytics. Developed/optimized various models in computing domain (Video, Statistics , Audio and others)....

Position: Solution Engineer II (AI/ML lead) Job Description: Principal Accountabilities Collaborate with teams to translate business requirements into technical specifications, system architecture, and ML pipelines. Drive end-to-end solution delivery — including data preparation, model development, optimization, validation, deployment, and continuous improvement. Provide technical guidance and mentorship to junior engineers and data scientists; review and refine their designs and code implementations. Develop reusable ML frameworks, model training workflows, and inference pipelines for rapid prototyping and deployment. Evaluate and integrate state-of-the-art AI/ML technologies to continuously improve model efficiency and system design. Respond to client RFQs and provide robust technical proposals and solution architectures. Partner cross-functionally with system engineers, embedded developers, and application teams for integrated AI system delivery. Job...

Position: Senior Software Quality Engineer Job Description: We’re looking for a Senior Software Quality Engineer with strong experience in manual, automation, performance, and API testing, along with a passion for using AI/ML to enhance software testing . You’ll be part of an Agile team focused on delivering high-quality products faster and smarter. Key Responsibilities: Plan, design, and execute manual and automated test cases based on requirements, user stories, and acceptance criteria. Develop and maintain test automation frameworks across UI and API platforms. Perform API testing using tools like Postman, RestAssured, or similar. Develop and maintain performance testing using tools such as JMeter, Gatling, or LoadRunner; analyze performance metrics and suggest improvements. Apply AI/ML technologies techniques to improve testing practices, such as: AI-assisted test case generation Test impact analysis Intelligent test prioritization...

Position: Senior Engineer - Data Engineer Job Description: Position - Data Engineer What you will be doing * Design and development of real time software and Cloud/Web/mobile based software application. * Analyze domain specific technical, high level or low level requirement and modification as per end customer or system requirement. * Perform software testing including unit, functional and system level requirement including manual and automated * Perform code review following coding guidelines and static code analysis & troubleshoots software problems of limited difficulty. * Document technical deliverable like software specifications, design document, code commenting, test cases and test report, Release note etc. throughout the project life cycle.  * Develop software solutions from established programming languages or by learning new language required for specific project. What Are We Looking For * Experience: 4 to 8 years in software/data...

Position: AI Architect Job Description: A highly skilled and motivated AI Architect for designing, developing, and implementing artificial intelligence (AI) solutions within an organization. The role focuses on leveraging AI & GenAI technologies, machine learning (ML), natural language processing (NLP), computer vision, and predictive analytics to solve complex business problems and drive innovation. The AI Architect bridges the gap between business objectives and technology, ensuring that AI systems align with the organization's strategic goals. What we're looking for: Education : Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Advanced degree preferred. Experience: Minimum of 5 years of experience in AI projects, data science, or a related field. Skills: Expertise in AI & GenAI technologies, frameworks, and methodologies (e.g., supervised/unsupervised learning, deep learning, NLP,...