Data Scientist at DataArt in Bengaluru
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Job Description
Client: Our client is a British bank, one of the largest finance companies in the world. The bank was founded three centuries ago, and today its assets are estimated at trillions of US dollars. Throughout its history, the bank has offered various banking products to clients. Its technical support has become more complex and expensive due to the expansion of its product line and the growth of its customer base. * Responsibilities: Develop, deploy, and optimize ML models using PyTorch or TensorFlow to analyze and predict key metrics related to API performance, user engagement, and product usage * Automate workflows with Terraform, Jenkins, or similar tools * Design and implement scalable ML pipelines in the cloud * Analyze large datasets and derive actionable insights * Collaborate with cross-functional teams to integrate ML solutions * Design and implement advanced algorithms that can detect anomalies, predict trends, and optimize business outcomes through automated decision-making processes * Build and maintain predictive models and algorithms that can support real-time analytics on API performance and usage * Stay updated on industry trends and implement best practices in ML development * Requirements: Proven experience as a Data Scientist, preferably in the financial services, fintech, or technology industries * Proficiency in Python for data analysis and ML modeling * Hands-on experience with PyTorch or TensorFlow * Proficient in SQL for querying large datasets and working with relational databases * ML expertise: Minimum 4 years in machine learning, with 1+ years of specialization in any ML field * Familiarity with deployment processes and tools like Terraform, Jenkins, or MLflow * Working knowledge of cloud platforms; certification is a plus * Bonus: Hands-on experience with Java
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Salary Benefits
$397500 - $510000 /year
Want to apply directly?
Apply for the Data Scientist position at DataArt in Bengaluru using https://www.glassdoor.com/job-listing/j?jl=1009540090059
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