successfactors
Associate Director (10754)
Axtria
Gurugram, IND
Full-time
Senior · 8+ years experience
Onsite
Discovered 3 weeks ago
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Job Responsibilities: -
- Be a leader in ML & GenAI Space with exposure to Application building
- Should have experience in doing Business Development on ML & GenAI space
- Should have exposure in independently creating demos, PoC’s and accelerators on GenAI space
- Able to handle entire BD process of its own
- Can setup a team of smart data scientists and app developers quickly
- Be an Individual Contributor in the Analytics and Development team and solve real-world problems using cutting-edge capabilities and emerging technologies based on LLM/GenAI/GPT
- Software development experience in python is needed as backend for UI based applications
- Create Technical documents e.g., HLD/LLDs/Technical Designs etc., develop, test, and deploy data analytics processes using Python, SQL on Azure/AWS platforms
- Can interact with client on GenAI related capabilities and use cases
Qualification: -
- B-Tech or BE in Computer Science / Computer Applications from Tier 1-2 college with 10+ years of proven experience in the field of Advanced Analytics or Machine Learning
- OR
- Master’s degree in Machine Learning / Statistics / Econometrics, or related discipline from Tier 1-2 college with 8+ years of experience
Must have Skills: -
- Minimum 8 years of experience in designing and architecting ML based solutions on Azure/AWS platforms
- Must have good knowledge on concepts of Generative AI / LLMs / GPT
- Deep understanding of architecture and work experience on Web Technologies
- Python, SQL hands-on experience
- Expertise in any popular python web frameworks e.g. flask, FastAPI, Django etc.
- Familiarity with frontend technologies like HTML, JavaScript, REACT
Skills that give you an edge: -
- Strong analytical skills to solve and model complex business requirements are a plus. With life sciences or pharma background.
About Axtria
Software & SaaS3650 employeesFounded 2010
Provider of cloud-based software and data analytics for life sciences.
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