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Data _Scientist

4.00 to 7.00 Years   Chennai   11 Jul, 2022
CEAT VENTURES LIMITED
Job LocationChennai
EducationNot Mentioned
SalaryNot Disclosed
IndustryNBFC ( Non Banking Financial Services )
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    Role Machine Learning Engineer Position Title: Manager Machine Learning Engineer Department: Digital Grade/ Level M2 Reporting To: Head Analytics Reportees: 0 Organisational Chart : Key Purpose of the Job (Position Summary) An important team member in digitization journey. The role manages multiple projects under the digitalization umbrella. Creation of analytical models using ML/DL/AI, data transformations, visualization & statistics. KEY PERFORMANCE AREAS
    • # of Use Case
    • Use Case Delivery
    • Adoption of analytical output
    • Improvement in sales and margin
    • Timely Delivery of products
    • Timely compliance and documentation
    • Business feedback
    KEY ACTIVITIES & RESPONSIBILITIES
    • 5+ years of strong experience, working Hands on experience on AWS cloud services that includes VPC, EC2, S3, RDS, Redshift, Data Pipeline, EMR, DynamoDB, DevOps, Lambda, Kinesis, DMS, SNS, SQS, Sagemaker, Apache Airflow, and EKS.
    • Experience in performing data enrichment, cleansing, analytics, aggregations
    • Experience in building & maintaining machine & deep learning models
    • Understanding of concepts related to algorithm and deep learning architectures
    • Develop prototypes, proof of concepts, algorithms, predictive models, and custom analysis
    • Extrapolatory data analysis of structured and unstructured data from problem statement to model deployment & business impact perspective using ML/DL/AI
    • Proficient in big data ingestion and streaming tools like Amazon Kinesis, Beam or Kafka.
    • Experience in deploying models via APIs and on the edge devices in a secure manner.
    • Good Knowledge/Understanding of NoSQL data bases and hands on work experience in writing applications on NoSQL databases like Cassandra and MongoDB
    • Good knowledge on various scripting languages like Linux/Unix shell scripting and Python
    • Good knowledge of Datawarehousing concepts and ETL processes using Redshift & SQL Server
    • Diverse experience in working with variety of Database like MySql/MariaDB, SQL Server, Redhshift and HANA.
    • Experienced in using IDEs and Tools like GitHub, AWS CodeCommit, Jupyter Notebooks/Lab and Anaconda.
    • Strong team player, ability to work independently and in a team as well, ability to adapt to a rapidly changing environment, commitment towards learning, & documentation skills
    • Practical knowledge of statistical packages like - R, Python, and Apache Open-Source technologies.
    • Creating data visualisations to effectively convey findings using Tableau
    Technical Skills:
    • Platform: AWS
    • Big Data: Python, Pytorch, Torchserve, Airflow, TensorFlow
    • Databases: Redshift and SQL Server.
    • Visualization: Tableau
    • Languages: SQL, UNIX/LINUX Shell Scripting, TensorFlow, Pytorch and Python
    • Tools/IDE: Docker, Kubernetes, Airflow, Jupyter Notebooks/Labs and Anaconda
    • Operating Systems: UNIX, LINUX
    • AWS Services: EC2, Sagemaker, RDS, Lambda, Redshift, S3, CloudWatch.
    • Packages: MS Office Suite
    • DevOps: AWS Code commit
    • Other Tools: Putty
    Education and Experience Required Education: MBA/B.E/M.Tech/B.Tech/M.Tech/MS/B.E./BCA/MCA Experience: Overall 4-7 years, with core ML Skills, AWS Big Data experience, Visualization experience using Tableau, Data Engineering skills.,

Keyskills :
analyticspythonmachine learningdata analysissql

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