AI Platform Lead Engineer
2 days ago
Engineer/ Sr Engineer/ Lead Sr Enginner, AI Platform Development
>5 Years of Experience in Software Product Development.
Our team is focused on applying state-of-the-art AI and ML technologies to solve complex business problems in the chip design, qualification, and debug engineering processes. We aim to enhance engineering efficiency through intelligent automation, data-driven insights, and innovative tool development.
This role focuses on building scalable cloud-native AI applications that enhance engineering productivity. You'll work on distributed systems, cloud platforms, and user-facing tools that integrate AI/ML capabilities into chip design and debug workflows.
Key Responsibilities
- Design and implement AI/ML applications and pipelines using LLMs, GenAI platforms, and custom models to address real-world engineering challenges.
- Build intelligent agents and user interfaces that integrate seamlessly into engineering workflows.
- Develop robust data ingestion, transformation, and analysis pipelines tailored to chip design and debug use cases.
- Build distributed computing architectures and scalable backend services.
- Design intuitive user interfaces and intelligent agents for engineering teams.
- Implement robust ETL pipelines and integrate with SQL/NoSQL databases.
- Collaborate with team leads to ensure timely delivery and high-quality solutions.
- Provide technical support and training to internal teams, helping resolve issues and improve adoption.
- Engage in cross-functional initiatives to solve technical problems across departments.
- Continuously contribute to the innovation and evolution of tools, technologies, and user experiences.
Minimum Qualifications
- Bachelor's degree in Computer Science
- Very Strong in data structures, algorithms, and software design principles.
- Strong programming skills in Python and C/C++.
- Experience in building scalable software systems and solving complex technical problems.
- Experience with software architecture and design patterns.
- Fast learner with a strong technical foundation and ability to work independently.
- Very Strong Analytical and problem Solving Skill.
Preferred Qualifications
- Master's degree in Computer Science or related field.
- Proficiency in data analysis using Python libraries (e.g., Pandas, NumPy, Matplotlib).
- Familiarity with SQL databases, ETL frameworks, and cloud platforms (e.g., AWS).
- Hands-on experience on Cloud Scale & Distributed Computing Architectures.
- Hands-on experience with AI/ML technologies including: Supervised and unsupervised learning. LLMs, GenAI platforms, and RAG optimization. ML frameworks like scikit-learn, PyTorch, TensorFlow. LLM integration frameworks (e.g., LangChain)
Job Types: Full-time, Permanent
Pay: From ₹5,000,000.00 per year
Benefits:
- Food provided
- Health insurance
- Internet reimbursement
- Life insurance
- Paid time off
- Provident Fund
Work Location: In person
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