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Data and Analytics Engineer
Tasks
Job description: Senior Engineer – Data Analytics - Understand business objective and translate it to Data science objective - Lead client discussions and brainstorm for ideas to solve business problems - Identify data sources, perform EDA , data cleaning and transformations for ML / DL models - Build ML / DL models hands on - Evaluate ML models and generate appropriate metrics for validation - Create necessary documentation and provide KT for deployment team to create apis for ML application - Constantly learn the latest updates in the ML / DL space and implement solutions accordingly - Recommend best practices for deployment in terms of infrastructure / technology required etc. - Act as an AI evangelist to stress the importance of AI / Data science within the dept. / team Good to have : - Experience working with Azure cloud tech stack (databricks / ADLS etc.) - Experience building models in distributed computing (preferably pyspark) - Experience building AI models @ scale for auto / Manufacturing domain - Experience in deploying predictive or prescriptive data science solutions from any embedded electronic sensor data streams (such as Cameras, IoT sensors, wearables etc.)
Qualifications
Qualification: 1. Master’s degree/Bachlelor’s degree in Applied Mathematics, Statistics, Machine Learning, Electrical Engineering, Computer Science/Information Systems. 2.0-2 years of Data Science Experience in industry environment (preferably automotive). 3.A self-starter with a proven track record of working independently in developing Data science solutions 4. Experience working in a good mix structured and unstructured (NLP/image) data science projects 5. Advanced working knowledge in Python and ML / DL frameworks like tensorflow / Pytorch / OpenCV 6. Good conceptual understanding of ML / DL algorithms 7. Good experience with version control tools – GIT, Atlassian toolchain 8. Good knowledge of model deployment
Benefits
Mit­arbeiter­rabatte möglich
Gesund­heits­maß­nahmen
Mit­arbeiter­handy möglich
Essens­zulagen
Betrieb­liche Alters­ver­sorgung
Hybrides Arbeiten möglich
Mobilitäts­angebote
Mit­arbeiter Events
Coaching
Flexible Arbeits­zeit möglich
Kantine
Betriebs­arzt
Barriere­frei­heit
Gute An­bindung
Park­platz
Kinder­betreuung
Mit­arbeiter­beteili­gung möglich
ContactMercedes-Benz Research and Development India Private Limited LogoMercedes-Benz Research and Development India Private Limited
Plot No. 5-P, EPIP 1st Phase560 066 BangaloreDetails to location
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