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About HyperVerge:

HyperVerge is a deep tech AI company that provides identity verification solutions for companies in the BFSI, Ed-tech, Telecom, Digital Lenders, Marketplaces etc spaces. Our home grown AI powers large enterprises like Jio, SBI, Bajaj Finserv, etc, and startups like EarlySalary, MoneyTap, ZestMoney, Kissht, etc. Our code has powered 900 million+ AI based automated ID checks so far.

About the role:

We are seeking a motivated and experienced Software Development Engineer - Backend (SDE-II /SDE-III) to join our team. You will be responsible for maintaining and enhancing our Deep Learning and LLM backend systems that serve high-scale applications. Your work will directly impact our ability to deliver reliable, efficient, and innovative AI solutions to our customers.

Key Outcomes for the First 12 Months:

Achieve High Operational Standards:

• Ensure AI backend services meet stringent Service Level Objectives (SLOs) with a focus on 99.99% uptime, optimal accuracy, swift response times, and a high success ratio for all operations.

Quality of service:

• Advance the observability of model inference and performance metrics to facilitate proactive monitoring and rapid troubleshooting.
• Enhance the lead time for changes in AI backend services by emphasizing code quality, readability, and reliability. Implement release strategies that are quicker, safer, and more efficient.
• Identify and execute initiatives aimed at enhancing performance, operational efficiency, reliability, and cost-effectiveness, ensuring our systems deliver strategic business value.
• Drive customer delight by improving the Net Promoter Score (NPS) through faster response times to queries, effective bug fixes, and the swift execution of feature requests.

Pioneer Strategic Innovations:

• Lead strategic initiatives in Machine Learning (ML) and Large Language Model (LLM) inference to secure a competitive advantage for the business.

Mentorship and Leadership:

• Provide guidance and mentorship to junior team members, fostering an environment of growth and accountability for delivering exceptional outcomes.

Technical competencies:

• Languages - Strong proficiency in Nodejs and Python.
• ML inference - Hands on experience with ML Inference frameworks such as TritonServer, TensorRT, ONNX etc
• Backend systems - Deep understanding of REST APIs, distributed systems, Cloud Infrastructure (preferably AWS)
• Code Quality: Write clean, maintainable, and efficient code. Conduct and participate in code reviews to ensure code quality and adherence to standards.
• Scalability & Performance: Design and implement systems with a focus on performance, scalability, and fault-tolerance.
• Production Releases - Familiarity with CI/CD pipelines, DevOps practices, and automated testing frameworks.
• Monitoring & Observability: Proficient in implementing monitoring solutions for system reliability and performance. Utilize tools and frameworks for effective logging, alerting, and visualization of system metrics.
• Mentorship: Ability to mentor juniors in the team. Ensure that designs and code align with the overall architecture and best practices.

Behavioral competencies:

• Problem solving - You can analyze complex business problems and translate them into scalable, efficient technical solutions. You generate new and innovative approaches to solving problems.
• Analytical skills - You are able to structure and process qualitative and quantitative data and draw insightful conclusions from it. You exhibit a probing mind and achieve penetrating insights.
• Hardwork and Persistence - You possess a strong willingness to work hard. You demonstrate tenacity and willingness to go the distance to get something done.
• Action bias - You have a tendency to take initiative and make decisions swiftly. You proactively move forward and tackle challenges, even in uncertain situations, prioritizing action over inaction.
• Learn quickly - You have the ability to learn quickly and proficiently understand and absorb new information. You stay updated with emerging technologies and industry trends to drive continuous improvement.
• Enthusiasm - You exhibit passion and excitement over work. You have a can-do attitude.
• Efficiency - You produce significant output with minimal wasted effort
• Flexibility / Adaptability - You adjust quickly to changing priorities and conditions and cope effectively with complexity and change

Qualifications:

• 2-5 years of total experience working with backend systems at scale - preferably on AI / LLM/ DeepLearning systems.

Join us if you are passionate about pushing the boundaries of technology and excited about the opportunity to drive impactful improvements in our Deep Learning backend systems!

#MLOpsEngineer #MLBackendEngineer #TechnicalLead #AIBackendEngineer