Data Science
Machine Learning (ML)
R Programming
PythonSenior Data Scientist
- 6+ years Experienced in building data pipelines and deployment pipelines for machine learning models
- 4+ years’ experience with ML/AI toolkits such as Tensorflow, Keras, AWS Sagemaker, MXNet, H20, etc.
- 4+ years’ experience developing ML/AI models in Python/R
- Must have leadership abilities to lead a project and team.
- Must have leadership skills to lead and deliver projects, be proactive, take ownership, interface with business, represent the team and spread the knowledge.
- Strong knowledge of statistical data analysis and machine learning techniques (e.g., Bayesian, regression, classification, clustering, time series, deep learning).
- Should be able to help deploy various models and tune them for better performance.
- Working knowledge in operationalizing models in production using model repositories, API s and data pipelines.
- Experience with machine learning and computational statistics packages.
- Experience with Data Bricks, Data Lake.
- Experience with Dremio, Tableau, Power Bi.
- Experience working with spark ML, spark DL with Pyspark would be a big plus!
- Working knowledge of relational database systems like SQL Server, Oracle.
- Knowledge of deploying models in platforms like PCF, AWS, Kubernetes.
- Good knowledge in Continuous integration suites like Jenkins.
- Good knowledge in web servers (Apache, NGINX).
- Good knowledge in Git, Github, Bitbucket.
- Working knowledge in operationalizing models in production using model repositories, APIs and data pipelines.
- Java, R, and Python programming experience.
- Should be very familiar with (MS SQL, Teradata, Oracle, DB2).
- Big Data – Hadoop.
- Expert knowledge using BI tools e.g.Tableau
- Experience with machine learning and computational statistics packages.
Subodh Popalwar
Software Engineer, Memorres
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Follow CutshortSubodh Popalwar
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