Delivery & Project Management:
- Develop and implement ML models Gen AI solutions and predictive analytics.
- Perform data mining feature engineering and statistical analysis.
- Own project roadmaps quality control and timely delivery.
- Collaborate with Data Engineering teams to deploy and operationalize ML models.
- Automate and optimize workflows for efficiency.
Practice Development:
- Contribute to scaling Blends Data Science practice by building new capabilities.
- Design industry-specific AI/ML solutions and contribute to thought leadership.
- Evaluate emerging AI trends and tools and integrate them into our ecosystem.
- Lead innovation initiatives research and internal AI development.
People & Leadership:
- Mentor and develop a high-performance data science team.
- Guide career development and set performance benchmarks.
- Collaborate with cross-functional teams to drive seamless execution.
Qualifications :
- 8 years of experience in Data Science & AI with hands-on expertise in ML Python and SQL.
- Exposure to Generative AI Should have worked on at least a few POCs or pilot projects leveraging Gen AI capabilities
- Strong knowledge of ML algorithms (Classification Regression Forecasting NLP LLMs Optimization etc.).
- Experience in end-to-end ML deployment including working with either Azure or AWS or GCP or Databricks.
- Proven ability to solve complex business challenges in Retail CPG BFSI Healthcare or eCommerce.
- Deep expertise in statistics probability stochastic processes and causal inference.
- Strong communicator who can explain AI concepts to non-technical stakeholders.
- Experience with big data tools (Hadoop Hive PySpark) and ML pipelines.
- Bonus: Experience in Google Analytics Adobe Analytics or digital marketing analytics.
- Bachelors/Masters degree in Computer Science Statistics Math Operations Research or a related field.
Remote Work :
No
Employment Type :
Full-time
Delivery & Project Management:Develop and implement ML models Gen AI solutions and predictive analytics.Perform data mining feature engineering and statistical analysis.Own project roadmaps quality control and timely delivery.Collaborate with Data Engineering teams to deploy and operationalize ML mo...
Delivery & Project Management:
- Develop and implement ML models Gen AI solutions and predictive analytics.
- Perform data mining feature engineering and statistical analysis.
- Own project roadmaps quality control and timely delivery.
- Collaborate with Data Engineering teams to deploy and operationalize ML models.
- Automate and optimize workflows for efficiency.
Practice Development:
- Contribute to scaling Blends Data Science practice by building new capabilities.
- Design industry-specific AI/ML solutions and contribute to thought leadership.
- Evaluate emerging AI trends and tools and integrate them into our ecosystem.
- Lead innovation initiatives research and internal AI development.
People & Leadership:
- Mentor and develop a high-performance data science team.
- Guide career development and set performance benchmarks.
- Collaborate with cross-functional teams to drive seamless execution.
Qualifications :
- 8 years of experience in Data Science & AI with hands-on expertise in ML Python and SQL.
- Exposure to Generative AI Should have worked on at least a few POCs or pilot projects leveraging Gen AI capabilities
- Strong knowledge of ML algorithms (Classification Regression Forecasting NLP LLMs Optimization etc.).
- Experience in end-to-end ML deployment including working with either Azure or AWS or GCP or Databricks.
- Proven ability to solve complex business challenges in Retail CPG BFSI Healthcare or eCommerce.
- Deep expertise in statistics probability stochastic processes and causal inference.
- Strong communicator who can explain AI concepts to non-technical stakeholders.
- Experience with big data tools (Hadoop Hive PySpark) and ML pipelines.
- Bonus: Experience in Google Analytics Adobe Analytics or digital marketing analytics.
- Bachelors/Masters degree in Computer Science Statistics Math Operations Research or a related field.
Remote Work :
No
Employment Type :
Full-time
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