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Architect and Practice Head

2 months ago


Pune, India Job Post Solutions Full time

Job Description

Looking for highly motivated self-driven AI Experienced Leader to head the AI and Gen AI practice and solution with objective to design and implement AI and Gen AI based solutions for customer's business problems.

  • As AI Solution Consultant, understand the customer needs and propose AI and Gen AI empowered practical in-depth solutions for solving customer’s business problems.
  • As AI Practice Head, research industry evolution in AI and Gen AI areas to identify practical differentiating solutions for solving business problems through AI and Gen AI.
  • As AI Solution Architect, Define the architecture, Design the solutions and Implement AI and Gen AI based solutions for customer programs.
  • Inspire, mentor, and build strong Data Scientist practice & delivery team to deliver the complex AI and Gen AI programs for various customers.
  • Conduct architecture reviews, design workshops and code reviews to deliver the outcome by collaborating with AI Data Scientists and Cloud Engineers.
  • Apply statistics, modeling, and machine learning to improve the efficiency of systems and relevance algorithms across our business application products.



Requirements

  • Bachelor’s degree or Master’s degree in Computer Science / AIML / Data Sciences.
  • 10+ years of overall experience and hands-on experience with the design + implementation of Machine Learning models, Deep Learning models for solving business problems.
  • Expertise in R, Python (NumPy, Scikit-learn + Pandas), TensorFlow, PyTorch or MLlib and LLM solutions.
  • Excellent problem-solving and analytical skills with the ability to translate business requirements into data science solutions.
  • Good experience in building complex and scalable Machine Leaning solutions and practically using in production.
  • Experience with scripting in SQL - extracting large data sets and design of ETL flows.
  • Deep interest and aptitude in data, metrics, analysis, trends and applied knowledge of measurement, statistics and program evaluation.
  • Capable of translating analysis results into business recommendations.
  • Effective communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.