Staff Software Engineer (AI) at Druva

<h3><strong>About Druva</strong></h3> <p>You won’t just join a company at Druva, you’ll help shape the future of data security at the moment it matters most. We are building a modern standard with our cloud-native solutions, designed to simplify the toughest challenges in cyber resilience for our customers. As the pioneer and market leader in fully managed SaaS data protection, we help organizations secure and recover their data from ransomware, cyberattacks, and operational disruptions without the complexity, cost, or risk of legacy infrastructure.</p> <p>Our momentum is backed by the market: Druva was named a Leader in the 2025 Gartner® Magic Quadrant™ for Backup and Data Protection Platforms, a Leader in the 2025 IDC MarketScape for Cyber-Recovery, and a Leader &amp; Outperformer in the 2025 GigaOm Cloud Data Protection Radar. Even better, customers validate that leadership every day through strong Gartner Peer Insights ratings, standout Net Promoter Scores (NPS), and top willingness-to-recommend results.</p> <p>Visit<a href="https://www.druva.com/">&nbsp;druva.com</a>&nbsp;and follow us on&nbsp;<a href="https://www.linkedin.com/company/druva/mycompany/">LinkedIn</a>,&nbsp;<a href="https://twitter.com/druvainc">X</a>&nbsp;and&nbsp;<a href="https://www.facebook.com/DruvaInc/">Facebook</a>.</p> <p><strong>Experience Required</strong>: 3 to 5 years<br><strong>Location</strong>: Pune<br><strong>Employment Type</strong>: Full-time</p> <h4><strong>About the Role</strong></h4> <p>As a <strong>Staff Software Engineer (AI)</strong>, you will lead the design and development of cutting-edge AI solutions. This role involves taking ownership of projects, mentoring junior engineers, and driving innovation in AI systems. You will work closely with stakeholders to build scalable and robust AI applications that solve complex problems.</p> <h4><strong>Key Responsibilities</strong></h4> <ul> <li>Lead the design, development, and deployment of scalable AI/ML systems.</li> <li>Drive technical discussions and decisions related to AI architecture, algorithms, and tools.</li> <li>Collaborate with data scientists, engineers, and product teams to align AI solutions with business goals.</li> <li>Own the end-to-end lifecycle of AI models, from research and development to production and monitoring.</li> <li>Implement MLOps pipelines for model training, validation, deployment, and monitoring.</li> <li>Optimize models for performance, accuracy, and scalability in production environments.</li> <li>Mentor and guide junior engineers to build their technical skills and understanding of AI concepts.</li> <li>Research and experiment with new algorithms and technologies to improve existing systems.</li> </ul> <h4><strong>Required Skills &amp; Qualifications</strong></h4> <ul> <li><strong>Education</strong>: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related disciplines.</li> <li><strong>Programming Languages</strong>: Advanced expertise in Python and familiarity with other languages such as Java or C++.</li> <li><strong>AI/ML Expertise</strong>: In-depth knowledge of machine learning, deep learning, NLP, or computer vision.</li> <li>Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Hugging Face.</li> <li>Strong understanding of distributed systems, cloud computing, and microservices architecture.</li> <li>Proficiency in deploying AI/ML systems on cloud platforms (AWS, GCP, or Azure).</li> <li>Experience with big data tools and frameworks (Spark, Hadoop, or similar).</li> <li>Demonstrated ability to lead technical teams and projects.</li> </ul> <h4><strong>Preferred Skills</strong></h4> <ul> <li>Experience with advanced AI concepts like federated learning, GANs, or transfer learning.</li> <li>Familiarity with data engineering tools and pipelines.</li> <li>Expertise in containerization (Docker) and orchestration (Kubernetes).</li> <li>Strong problem-solving, leadership, and communication skills.</li> </ul>