6.0 - 11.0 years

15 - 25 Lacs

mumbai, bengaluru, delhi / ncr

Work from Office

Role & responsibilities Designation : ML engineer Manager Job location : remote Notice period : Only immediate joiners What youll do Lead and inspire your team (AI engineers, platform engineers, and a product manager): Set clear goals, mentor team members, and foster a culture of impact, collaboration, and rapid learning. Implement agile processes that prioritize speed without sacrificing quality or security. Collaborate closely with customers to understand and address their AI safety challenges: Engage directly with customer teams to understand their innovation objectives, pain points, and safety requirements. Translate customer needs into actionable roadmaps aligned with their innovation cycles. Deliver tools and services that ensure AI applications are aligned, robust, interpretable, and safe: Oversee the development of platforms for alignment assessments, adversarial testing, drift detection, and interpretability analysis. Make informed build vs. buy decisions to optimize speed and customer integration. Champion engineering excellence in a high-stakes environment: Establish and enforce secure coding practices, automation, monitoring, and infrastructure-as-code. Ensure system reliability through defined SLAs, SLOs, rigorous testing, and clear operational dashboards. Continuously innovate within AI safety methodologies: Keep current with cutting-edge research in AI safety, adversarial testing, and model evaluation. Pilot emerging techniques that enhance our offerings and accelerate customer deployments. Preferred candidate profile Experiences you'll bring 5+ years of experience in software engineering, with at least 2 years managing technical teams or complex projects. Proven track record delivering AI, ML, or data-intensive platforms or services (e.g., model evaluation platforms, MLOps systems, AI safety tools). Demonstrated success in team leadership, coaching, and talent development. Excellent cross-functional collaboration and communication skills, bridging technical concepts with customer value. Technical skills you'll need Proficiency with common software languages, frameworks, and tools such as Python, TensorFlow, PyTorch, Docker, Kubernetes, JavaScript, HTML/CSS, REST APIs, and SQL/noSQL databases Expertise with cloud environments such as AWS, GCP, or Azure. Familiarity with LLM architectures, including evaluation techniques, prompt engineering, and adversarial testing methodologies. Preferred technical experience: exposure to platforms like LangChain, LangGraph; experience with distributed systems (Spark/Flink); familiarity with AI regulatory frameworks or secure deployment standards (e.g., SOC 2, ISO 27001). Interested candidates can apply to kinnera259@gmail.com Regards, HR Manager

Posted Date not available

Apply

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.