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4-5 Years
a month ago
100 Viewed
9 Applied

Job Description

Background: Computer Science/Computer Applications or any quantitative discipline (Statistics, Mathematics, Economics/Operations Research etc.) from a reputed institute.
Experience: 4-5 years of experience
What you will do:
1) We are seeking a candidate with expertise in ML and Intelligent Automation technologies.
2) This individual will collaborate with various departments within OBS to design solutions that provide actual business value.
3) They will be responsible for leading use cases from proof of concept to industrialization, developing business requirements, and formulating AI strategies for clients.
4) Share technical architecture with Business SPOC and demonstrate leadership by advising clients on AI and automation strategy and specific use cases using established insights and industry best practices.
5) Serve as the single point of contact from the Data AI team, promoting the teams capabilities and encouraging the business team to explore the use of AI and identify use cases.
6) The successful applicant will also act as a technical consultant for Data AI use cases, as well as contribute to the Data Digital Solution Centre.

about you
  • Proficiency in Python, R, SQL, and ML Framework to apply analytical methods to complex datasets.
  • Have experience in machine learning, natural language processing, and deep learning.
  • Demonstrate a proven ability to use NLP and text-based extraction techniques.
  • Be familiar with commonly used data science packages such as Spark, Pandas, SciPy, and NumPy.
  • Lead and train other Jr.Data scientists in designing effective analytical approaches that consider performance and scalability to large datasets.
  • Apply techniques like multivariate regressions, Bayesian probabilities, clustering algorithms, Cluster analysis, Decision trees, and stochastic models to research and solve complex development problems and apply engineering methods to define, predict, and evaluate results.
  • Visualize and communicate analytical results using technologies like Tableau, and PowerBI.
  • Contribute to thought leadership by participating in the development of technology processes.
  • Continuously monitor algorithm and statistical model performance, and troubleshoot and implement enhancements and fixes to these systems.
  • Experience in Generative AI based projects involving designing and implementing solutions using the Langchain framework and designing efficient prompts for LLMs and re-training and fine-tuning Large
  • Language Models would be an added advantage.

Good to have:

  • knowledge of working with DataIKU, Knime
  • Knowledge of building receipies/ flow and MLOps on the Data IKU/ Knime
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