Walk in Recruitment for Data Science and MLOPs Data Scientist (1-7 yrs) Criteria: Mandatory project experience in Data Science with hands on in Sql, Python, Supervised Learning, Un-Supervised Learning, reinforcement learning and Time Series Forecasting Role Brief - As a Data scientist you will solve some of the most impactful business problems for our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain experts to design and develop innovative solutions on the data to achieve predefined outcomes. Key Responsibilities: - Engage with clients to understand current and future business goals and translate business problems into analytical frameworks - Develop custom models based on in-depth understanding of underlying data, data structures, and business problems to ensure deliverables meet client needs - Create repeatable, interpretable and scalable models - Effectively communicate the analytics approach and insights to a larger business audience Education: Engineering Grads or MA / MSc from Statistics/ Maths/ Economics background who have graduated in 2021 or before Machine Learning Engineer (1-7 yrs) Criteria: Mandatory project experience in any Machine Learning Platforms (ML Flow, DataIKU, Sagemaker, VertexAI) and Python. Devops, Docker, Kubernates, Data Engineering with Pyspark experience are good to have. Role Brief As a Machine Learning Engineer you will solve some of the most impactful business problems for our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain experts to design and develop innovative solutions with the models to achieve predefined outcomes THE IDEAL CANDIDATE WILL - Engage with clients to understand current and future business goals and translate business problems into high level solution approach - Work hands-on on building the model deployment and monitoring pipelines based on in-depth understanding of underlying data, data structures, and business problems to ensure deliverables meet client needs - Effectively communicate the approach and insights to a larger business audience - Collaborate with team members, peers and leadership at Tredence and client companies Education: Engineering Grads or MA / MSc from Statistics/ Maths/ Economics background who have graduated in 2021 or before Timings: 9:30 AM to 1 PM Date - 2nd July 2022 Interview venue: Tredence Analytics, 2nd Floor, Sattva Knowledge Court, 20 21, 7th Cross Rd, Green Domain Layout, EPIP Zone, Whitefield, Bengaluru, Karnataka 560048

Bangalore

Tredence - Data Scientist - Data Science/Machine Learning Operations - WalkIn 

Tredence - Data Scientist - Data Science/Machine Learning Operations - WalkIn  ,Job Description for Tredence - Data Scientist - Data Science/Machine Learning Operations - WalkIn  in Tredence Analytics in  Bangalore for (1-7) years of experience. Apply Now!

Job Description for Tredence - Data Scientist - Data Science/Machine Learning Operations - WalkIn  in Tredence Analytics in  Bangalore for (1-7) years of experience. Apply Now!