SDE-II, ML

What's in it for you?

• Credibility
• You should have a proven track record on research and development with adequate publication / patenting and / or academic credentials in data science.
• You should have a demonstrated history of participating in ML hackathons, writing Medium blogs, developing ML POCs, or contributing to open-source ML projects.
• You have the ability to directly connect business problems to research problems along with the latest emerging technologies.


• Strategic Responsibility
• To perform the following: understanding problem statements, connecting the dots between high level business statements and deep technology algorithms, crafting new systems and methods in the space of structured data mining, natural language processing, computer vision, speech technologies, robotics or internet of things etc.
• To be responsible for end-to-end production level coding with data science and machine learning algorithms, unit and integration testing, deployment, optimization and fine-tuning of models on cloud, desktop, mobile or edge etc.
• To learn in a continuous mode, upgrade and upskill along with publishing novel articles in journals and conference proceedings and / or filing patents, and be involved in evangelism activities and ecosystem development etc.
• To share knowledge, mentor colleagues, partners, customers, take sessions on artificial intelligence topics both online or in-person, participate in workshops, conferences, seminars / webinars as speaker, instructor, demonstrator or jury member etc.
• To design and develop high-volume, low-latency applications for mission-critical systems and deliver high availability and performance.
• To collaborate within the product streams and team to bring best practices and leverage world-class tech stack.
• To set up every essentials (tracking / alerting) to make sure the infrastructure / software built is working as expected.
• To search, collect and clean Data for analysis and setting up efficient storage and retrieval pipelines.

We'd love to hear from you, if you:

• Have done B Tech / BS / BE / M Tech / MS / ME in CS or equivalent from Tier I / II or Top Tier Engineering Colleges and universities.
• Own 3-6 years of strong software (application or infrastructure) development experience and software engineering skills (Python / Java / Golang).
• Acquire deep expertise and practical knowledge of operating systems, MySQL and NoSQL databases(Redis/couchbase/mongodb/ES or any graphDB).
• Have a good understanding of Machine Learning Algorithms, Linear Algebra and Statistics.
• Have a working knowledge of Amazon Web Services(AWS).
• Get hold of Docker and kubernetes will be a plus.
• Have experience with Natural Language Processing, Recommendation Systems, or Search Engines
• Working knowledge of proprietary / self hosted LLMs and prompt engineering.
• Fine-tuning of models will be a plus.


• Personality
• Requires excellent communication skills – written, verbal, and presentation.
• You should be a team player.
• You should be positive towards problem-solving and have a very structural thought process to solve problems.
• You should be agile enough to learn new technology if needed.