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Sr ML Scientist

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  • Job Posting Type Managed on Cluzters.ai

Company Details

Full Time Job Requirement Details

  • Designation Sr ML Scientist
  • Required Skills R Programming, Python Programming, Statistical Analysis, Machine Learning, Predictive Modeling, Advanced Visualization, Big Data
  • Position Level Senior Manager Level
  • Years of Experience 7-10 years
  • Indicative Package Range Not Disclosed
  • Domain Expertise Flexible/Generic
  • Highest Qualification M.C.A, M.B.A, B.E / B.Tech, Any Post Graduation

JOB DESCRIPTION

We are looking for a seasoned ML Scientist who is able to understand customer needs along with any technical constraints, and be responsible for conceiving the product idea based on variety and amount of data we have available with us (in the BigData ecosystem), and then can translate them into product features leading to the success of our customers. The ML Scientist will also be expected to design the overall functionality of the product, and in order to ensure that the initiative is adding value to our customers, iterate upon it in accordance with user-testing.


 


Responsibilities


 




  • Work closely with the business to understand the problem space, identify the opportunities and formulate the problems.




  • Use machine learning, data mining, statistical techniques and others to create actionable, meaningful, and scalable solutions for the business problems.




  • Analyse and extract relevant information from large amounts of data and derive useful insights.




  • Work with software engineering teams to deliver production systems with your ML models




  • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation



  • Make strategic design and user-experience decisions related to core, new, functions and features.



  • Take a user-centered design approach and rapidly test and iterate your product/feature.



  • Collaborate with other team members and stakeholders.



  • Take risks and champion new ideas.


 


Basic Qualification


 




  • MS in Machine Learning, Data Science, Computer Science, Statistics, Applied Mathematics or another related field who have led ML or Data Analytics team before.




  • 8+ years of hands-on experience in machine learning, predictive modelling and analysis.




  • Understanding of data structures, data modeling and software architecture




  • Experience in developing and delivering end-to- end solutions




  • Ability to deliver with limited guidance, working on problems that are not structured




  • Proficiency with data systems, ML Tools, and at least one programming language i.e. Python, Java and R




  • Experience with time series data is a plus



ABOUT COMPANY

Acceldata has created the world's first Data Observability Cloud, helping data-driven enterprises achieve operational excellence, innovation agility, and higher returns on data investment.

Modern enterprises increasingly rely on embedded analytics and AI systems to power their business operations and decisions. Building, operating, and optimizing these systems, however, can be overwhelming.

Traditional monitoring tools, while effective for web applications and microservices, don’t provide sufficient insight into distributed data, processing, and pipelines.

Acceldata's data observability tools use purpose-built analytics and monitoring to optimize embedded AI and analytics workloads.

Customers like GE Digital, PhonePe (Walmart), Pubmatic, Pratt & Whitney, DBS Bank, and Oracle depend on Acceldata to decrease data pipeline costs by over 20%, while improving reliability by more than 95%. Finance and business teams love the 15+% increase in return on data investments.

Acceldata is now building the industry's first Data Observability Cloud for hybrid data lakes and cloud data warehouses. Acceldata's Data Observability Cloud provides on-demand operational intelligence to support embedded AI and analytics data workloads. With Acceldata, enterprises can easily scale pipelines to meet the needs of modern business, regardless of platform or cloud environment.

Location

Location Information

  • Location: Bengaluru, Karnataka, India - Get Directions
  • Formatted Address: Bengaluru, Karnataka, India
  • Street Address: Bengaluru
  • City: Bangalore Urban
  • State: Karnataka
  • Country: India