Manager

Ex; Gurugram District; Hybrid; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Flexible work options

Job summary

Ex is seeking a Lead AI solution strategist to drive AI strategy across multiple projects and teams in a fast-paced environment. You will shape long-term plans for AI research and development, and represent the AI solution team in executive meetings.

You will lead data extraction, model development, deployment, and dashboarding while ensuring rigorous documentation and governance across projects.

Qualifications

• Strong background in science or STEM fields.
• Experience developing and deploying ML/GLM models.
• Experience with data prep, transformation, and analysis.
• Proficient in Python, PySpark and SQL.
• Good NLP & text mining knowledge.
• Familiarity with AWS services including S3, EC2, EMR, Airflow, SageMaker.
• Knowledge of Snowflake.

Responsibilities

• Clearly setting project objectives with the client.
• Data extraction, cleansing and manipulation of large datasets.
• Predictive modelling and development of models.
• Model documentation and governance.
• Model deployment and automation.
• Engage in analytics projects and ad-hoc data visualizations.
• Model training, validation, monitoring, diagnostics.

Skills

ML deployment

GLM development

Data prep & analysis

Model monitoring

NLP/Text mining

Python

PySpark

SQL

Airflow

AWS SageMaker

Snowflake

Education

Science background (math/physics/engineering/stats/economics/actuarial)

Tools

Python

PySpark

SQL

Airflow

AWS SageMaker

Snowflake

Job description

Lead AI solution strategy across multiple projects and teams. Drive innovation in AI solution practices and model optimization. Represent the AI solution team in executive meetings. Develop long-term plans for AI solution research and development.

Responsibilities

The job responsibilities include the following:

Clearly Setting Project Objectives with the Client - Take initiatives to identify opportunities and develop problem statements to be worked upon.

Data Extraction, Cleansing and Manipulation - Manage large volume of data, research for variables and work with structured/unstructured data.

Predictive Modelling - Development of models using appropriate predictive analytics techniques.

Model Documentation - Clear and Detailed Documentation of the modelling procedures.

Model Deployment and Automation

Participate in various other analytics projects and work on ad-hoc requests relating to data extractions and visualizations as per the client's need.

Modeling / Data Science: Model training and development, Model monitoring, refitting models, diagnostics/analysis and publishing the model.

Model pipeline automation via airflow documentation.

Development dashboards containing model validation and monitoring KPIs.

Qualifications

Academic Background in Science (Mathematics, Physics, Engineering, Statistics, Economics, Actuarial Science etc.)

Essential Technological skills:

Hands-on experience in developing and deploying Machine Learning and Generalized Lineal Models as well as data preparation, transformation and analysis

Well versed in model development, validation, and monitoring process

Expertise in tools like Python, Pyspark, SQL

Good knowledge of Natural Language Processing and Text Mining

Working knowledge with AWS Services like S3, EC2, EMR, Airflow, Sagemaker

Working knowledge of Snowflake

Experience in P&C Insurance Industry is preferable.