677 Drift Jobs - Page 28

Hyderabad, Telangana, India Category: Engineering Hire Type: Employee Job ID 9309 Date posted 02/24/2025 We Are: At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation. You Are: As a Senior Staff AI Engineer focusing on AI Optimization & MLOps, you are a trailblazer in the AI landscape. You possess deep expertise in AI model development and optimization, with a keen interest in reinforcement learning and MLOps. Your ability to design, fine-tune, and deploy scalable, efficient, and continuously improving AI models sets you apart. You thrive in dynamic environments, staying at the forefront of AI technologies and methodologies, ensuring that AI solutions are not only cutting-edge but also production-ready. Your collaborative spirit and excellent communication skills enable you to work seamlessly with cross-functional teams, enhancing AI-powered IT automation solutions. With a strong background in AI frameworks and cloud-based AI services, you are committed to driving innovation and excellence in AI deployments. What You’ll Be Doing: Design, fine-tune, and optimize LLMs, retrieval-augmented generation (RAG), and reinforcement learning models for IT automation. Improve model accuracy, latency, and efficiency, ensuring optimal performance for IT service workflows. Experiment with cutting-edge AI techniques, including multi-agent architectures, prompt tuning, and continual learning. Implement MLOps best practices, ensuring scalable, automated, and reliable model deployment. Develop AI monitoring, logging, and observability pipelines to track model performance in production. Optimize GPU/TPU utilization and cloud-based AI model serving for efficiency and cost-effectiveness. Develop tools to measure model drift, inference latency, and operational efficiency. Implement automated retraining pipelines to ensure AI models remain effective over time. Work closely with cloud teams to optimize AI model execution across hybrid cloud environments. Stay ahead of emerging AI technologies, evaluating new frameworks, techniques, and research for real-world application. Collaborate to refine AI system architectures and capabilities, while also ensuring models are effectively embedded into IT automation workflows The Impact You Will Have: Enhance the efficiency and reliability of AI-powered IT automation solutions. Drive continuous improvement and innovation in AI model development and deployment. Ensure scalable and cost-effective AI model serving in cloud and hybrid environments. Improve real-time AI processing with minimal downtime and high performance. Optimize AI systems for performance, security, and cost in IT automation applications. Contribute to the advancement of Synopsys' AI capabilities and technologies. What You’ll Need: 8+ years of experience in AI/ML engineering, with a focus on model optimization and deployment. Strong expertise in AI frameworks (LangGraph, OpenAI, Hugging Face, TensorFlow/PyTorch). Experience implementing MLOps pipelines, CI/CD for AI models, and cloud-based AI deployment. Deep understanding of AI performance tuning, inference optimization, and cost-efficient deployment. Strong programming skills in Python, AI model APIs, and cloud-based AI services. Familiarity with IT automation and self-healing systems is a plus. Who You Are: Innovative and forward-thinking, constantly seeking to improve and optimize AI models. Collaborative and communicative, working effectively with cross-functional teams. Detail-oriented and meticulous, ensuring high standards in AI model performance and deployment. Adaptable and resilient, thriving in dynamic and fast-paced environments. Passionate about AI and its applications in IT automation and beyond. The Team You’ll Be A Part Of: You will join a dynamic team of AI engineers and IT professionals dedicated to advancing AI-powered IT automation. Our team focuses on optimizing model deployment, scaling AI workloads using Kubernetes, and enhancing AI observability and security. Together, we aim to make IT automation faster, more reliable, and cost-efficient, driving continuous technological innovation and excellence. Rewards and Benefits: We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process. At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

Additional Locations: India-Haryana, Gurgaon Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions. Software Engineer SQA – AI/ML Products Join Boston Scientific at the forefront of innovation as we embrace AI to transform healthcare and deliver cutting‑edge solutions. We are seeking a Software Quality Assurance (SQA) Engineer who will champion the reliability and usability of AI‑driven features, ensuring that machine‑learning models and LLM pipelines deliver safe, accurate, and coherent outcomes. Your responsibilities will include: Develop and execute comprehensive test plans for AI/ML features including chatbots, recommendation engines, RAG search, and copilots. Design and maintain automation frameworks (Selenium, Cypress, Playwright, PyTest) for UI, API, and model‑level testing. Implement evaluation harnesses using LangSmith, RAGAS, LangTest, and custom scripts to score relevance, hallucination, fairness, and toxicity. Validate RAG pipelines end‑to‑end: embeddings, retrieval quality, prompt integrity, and response grounding. Monitor post‑deployment AI performance for drift, regression, and latency; partner with MLOps teams to triage incidents. Collaborate with product managers, data scientists, and engineers to define expected outcomes and edge‑case scenarios. Document test results, file defects, and drive root‑cause analysis to closure. Required Qualifications: 6+ years of software quality assurance or test‑automation experience, including AI/ML products. Proficiency in Python or JavaScript and experience with RESTful API testing (Postman, Swagger). Hands‑on with automation tools such as Selenium, Cypress, Playwright, or PyTest. Knowledge of LLM evaluation frameworks (LangSmith, RAGAS) and vector database APIs. Strong foundation in QA processes: test planning, regression testing, CI/CD integration, and defect lifecycle management. Preferred Qualifications: Experience testing RAG or agentic AI workflows at scale. Familiarity with monitoring solutions for model drift and data drift (Vertex AI, Azure Monitor, Fiddler). Exposure to ethical‑AI or bias‑testing methodologies. Background in healthcare or other regulated domains. Requisition ID: 608453 As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen. So, choosing a career with Boston Scientific (NYSE: BSX) isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!