What part willyou play?

• Analyzethe applicability of learning algorithms to address customer use-cases.
• Conductexploratory analysis and ensure data adequacy.
• Utilizevarious visualization tools to convey analysis and prediction results tostakeholders.
• DesignML based solutions and train, test and deploy the models into production.
• Ensurethat the delivery conforms to organization and project quality requirements.
• Reviewthe performance of deployed models and make necessary modifications wherever required.

Use your skills to move the world forward!

Qualifications:

• Bachelor sor master s degree in Statistics, Mathematics, Computer Science, or any other quantitative field
• 2-3years of relevant experience in machine learning.

Essential Skills:

• Proficiencyin Python.
• Strongworking knowledge of Numpy, Pandas and Matplotlib.
• Willingnessto learn the problem domain and acquire required technical skills on the go.
• Abilityto execute a complete AI solution workflow from problem definition to usable implementation.
• Skillsin Exploratory analysis and in presenting insights and stats to thestakeholders.
• Abilityto identify right visualization to communicate data insights.
• Appliedstatistics, Ability to use statistical techniques to derive value from data.
• Experiencein ETL with different data types (timeseries, images etc.) and data sources.
• Experiencein querying databases and in using SQL.
• Conceptualunderstanding of Machine Learning and Deep Learning algorithms.
• Abilityto translate output from the algorithms to the respective domains.
• Practicalexperience in developing end-to-end Machine Learning workflows. Including Data
• Preparation,Feature Engineering, Exploratory analysis, Selection of right learningalgorithm,
• hyper-parametertuning, validation, test, and model management.
• Experiencein computer vision and Natural Language Processing areas.

Preferred Skills:

• Familiaritywith BI tools
• Experiencein Design and implementation of robust end-to-end modern Data pipeline.
• Experiencewith cloud computing platforms (Azure/AWS).
• Experiencewith Web Frameworks (Flask, FastAPI, Django).
• Basicunderstanding of power and energy domain.