3.0 - 7.0 years

0 Lacs

maharashtra

On-site

As a Python Developer, you will be responsible for building supervised (GLM ensemble techniques) and unsupervised (clustering) models using standard industry libraries such as pandas, scikit-learn, and keras. Your expertise in big data technologies like Spark and Dask, as well as databases including SQL and NoSQL, will be essential in this role. You should have significant experience in Python, with a focus on writing unit tests, creating packages, and developing reusable and maintainable code. Your ability to comprehend and articulate modeling techniques, along with visualizing analytical results using tools like matplotlib, seaborn, plotly, D3, and Tableau, will be crucial. Experience with continuous integration and development tools like Jenkins, as well as Spark ML pipelines, will be advantageous. We are looking for a self-motivated individual who can collaborate effectively with colleagues and contribute innovative ideas to enhance our projects. Preferred qualifications include an advanced degree with a strong foundation in the mathematics behind machine learning, including linear algebra and multivariate calculus. Experience in specialist areas such as reinforcement learning, NLP, Bayesian techniques, or generative models will be a plus. You should excel at presenting ideas and analytical findings in a compelling manner that influences decision-making. Demonstrated evidence of implementing analytical solutions in an industry context and a genuine enthusiasm for leveraging data science to enhance customer-centricity in financial services ethically are highly desirable qualities for this role.,

Posted 5 days ago

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The cleaned title from the provided string is Python Developer . Capgemini

3.0 - 7.0 years

0 Lacs

maharashtra

On-site

As a Python Developer, you will be responsible for leveraging your experience to build standard supervised (GLM ensemble techniques) and unsupervised (clustering) models using industry libraries such as pandas, sklearn, and keras. Your expertise in big data technologies like Spark and Dask, as well as databases including SQL and NoSQL, will be crucial in this role. Your role will also involve significant experience in Python, encompassing tasks such as writing unit tests, developing packages, and crafting reusable and maintainable code. An essential aspect of your responsibilities will be the ability to comprehend and articulate modeling techniques, along with visualizing analytical results using tools like matplotlib, seaborn, plotly, D3, and tableau. Experience with continuous integration/development tools like Jenkins and Spark ML pipelines will be advantageous. We are looking for a self-starter who not only excels individually but also collaborates effectively with colleagues, bringing innovative ideas to enhance our collective mindset. For the ideal candidate, possessing an advanced degree with a strong foundation in the mathematical principles underpinning machine learning, such as linear algebra and multivariate calculus, would be a significant advantage. Additionally, expertise in specialized areas like reinforcement learning, NLP, Bayesian techniques, or generative models would be highly valued. Your ability to effectively present ideas and analytical findings in a compelling manner that influences stakeholders will be a key aspect of this role. Demonstrated experience in developing analytical solutions within an industry context and a genuine passion for utilizing data science ethically to enhance customer-centricity in financial services will set you apart. If you are ready to contribute to a dynamic team by applying your Python development skills and data science expertise to drive impactful solutions in the financial services sector, we encourage you to explore this opportunity further.,

Posted 2 weeks ago

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