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22/06 Abhilasha
Principal Consultant at Catalyst Advise

Views:338 Applications:32 Rec. Actions:Recruiter Actions:4

Leadership Role - Data Scientist/Computer Vision/Machine Learning - Automated Remote Control System (5-15 yrs)

Chennai Job Code: 940818

Responsibilities :

- Experience in Computer Vision is MUST.

- Build innovative analytics solutions and partner with product and business teams to improve existing solutions.

- Lead and counsel the data science team in choosing the right approach for problem-solving.

- Collaborate with Data Scientists and Data engineers to enable deployment of solutions.

- Architecting DS/AI/ML solutions for easy integration with product.

- Identify new opportunities to build data science solutions.

- Experience deploying DS/ML/AI solutions

- Ability to discover patterns in data and deliver impactful insights.

- Ability to convert high level business problems into analytics problems.

- Experience Managing data science teams and Experience working with business users / clients

- Design, build, test and deploy ML models at scale

- Experience with modern machine learning techniques including Ensemble Methods,

- Recommender Systems, NLP and Deep learning

- Hypothesis Testing and Design of experiments to analyse and monitor results

- Engineer features to improve decision algorithms

- Partner with data/ML engineers and vendor partners for input data pipes development and ML models automation

Skills and Experience :

- ML algorithms ( Supervised / Unsupervised Learning, Clustering, Time Series Forecasting, recommender systems, Deep learning)

- Languages and packages - Python, Spark, PySpark, SparkML, MLlib, Tensorflow, NLP Packages like NLTK

- Knowledge in cloud platform - Microsoft Azure ADF, Azure kafka, Azure Databricks, Databricks MLflow

- Experience building scalable / highly available distribute systems in production

- Hands-on experience in Data Science with exposure to online recommender systems, NLP, traditional ML

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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