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4 days ago
We seek a visionary architect with deep expertise in designing and developing end-to-end statistical/ML/analytics solutions.
- Develop large language models (LLMs) and build asset lifecycle prediction algorithms using industry-standard processes.
- Collaborate with cross-functional teams to understand business requirements and propose suitable solutions, explore AI algorithm stacks, and implement Observability and Monitoring for software systems.
- Design architecture for SaaS offerings, automate unit and acceptance testing, product costing, performance tuning and benchmarking, product deployment and management, and customer support.
Requirements:
- Bachelor's or Master's degree in Computer Science or related field with 14+ years of experience in SaaS or software product development.
- Strong experience with C# and .NET Core, proficient in REST API development.
- Work experience in IoT-based cloud application development, expertise in Data Science, Gen AI, RAG (Agentic AI, LLM), Predictive Modelling (Supervised, Unsupervised), Deep Learning, and NLP.
Technical Skills:
- Languages: Python, Java
- Libraries & Frameworks: Langchain, LangGraph, Scikit-learn, Keras
- Data Visualization & UI: Seaborn, Streamlit, Gradio
- Databases: SQL (PostgreSQL), Cassandra
- Cloud Platforms: Azure, GCP
- Other Tools: PowerBI, Git, Docker, Pycharm
Job Responsibilities:
- Contribute to the design and development of statistical/ML/analytics solutions.
- Engage with cross-functional teams to identify and address technical challenges.
- Explore new technologies and contribute to their adoption within the organization.
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