Responsibilities :
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Design and develop robust AI/ML solutions tailored to industry verticals such as Banking Financial Services Insurance (BFSI) Energy & Utilities (EnU) Life Sciences and Manufacturing.
-
Collaborate with cross-functional teams to gather business requirements and translate them into scalable machine learning architectures.
-
Lead the end-to-end lifecycle of ML projects-from data exploration and model development to deployment and monitoring-ensuring alignment with organizational standards and best practices.
-
Evaluate and select appropriate ML algorithms frameworks and tools to optimize model performance scalability and interpretability. Conduct research on emerging ML techniques and technologies providing insights for continuous innovation and improvement.
-
Define and implement data governance model versioning and deployment strategies to ensure compliance reproducibility and ethical use of AI.
-
Mentor junior developers and data scientists fostering a collaborative and innovative team culture.
-
Communicate technical solutions and project progress to stakeholders and leadership translating complex ML concepts into business-friendly language.
Responsibilities : Design and develop robust AI/ML solutions tailored to industry verticals such as Banking Financial Services Insurance (BFSI) Energy & Utilities (EnU) Life Sciences and Manufacturing. Collaborate with cross-functional teams to gather business requirements and translate them int...
Responsibilities :
-
Design and develop robust AI/ML solutions tailored to industry verticals such as Banking Financial Services Insurance (BFSI) Energy & Utilities (EnU) Life Sciences and Manufacturing.
-
Collaborate with cross-functional teams to gather business requirements and translate them into scalable machine learning architectures.
-
Lead the end-to-end lifecycle of ML projects-from data exploration and model development to deployment and monitoring-ensuring alignment with organizational standards and best practices.
-
Evaluate and select appropriate ML algorithms frameworks and tools to optimize model performance scalability and interpretability. Conduct research on emerging ML techniques and technologies providing insights for continuous innovation and improvement.
-
Define and implement data governance model versioning and deployment strategies to ensure compliance reproducibility and ethical use of AI.
-
Mentor junior developers and data scientists fostering a collaborative and innovative team culture.
-
Communicate technical solutions and project progress to stakeholders and leadership translating complex ML concepts into business-friendly language.
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