Senior Technical Lead
Job Description (Posting).
Strong hands on experience on Python SQLGood experience in Maintaining and running ML Models Worked on Minimum two end to end ML projectsKnowledge in Time series Text Mining Classification RegressionExperience in developing ML models work closely with business stakeholdersUnderstand requirement from business teamSound knowledge on the terminologies that defines the field of MLShould be able to drive the ML predictions for product divisionExcellent documentation presentation and written communication skillsShould be a quick learner & self driving personSnowflake cloud warehouse knowledgeNice to have knowledge on Azure MLMaintaining and troubleshooting Jupiter notebooks with ML Models and data pipelines.
Developing ML models, work closely with business stakeholdersAnonymize and operationalize data pipes from Datawarehouse or System REST APIs for ML modelsProvide data insight and feedback to Analyst Data Scientist leader and Business users (1.
) To ensure process compliance in the assigned module, and participate in technical discussionsorreview as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).
(2.
) To develop and guide the team members in enhancing their technical capabilities and increasing productivity (3.
) To prepare and submit status reports for minimizing exposure and risks on the project or closure of escalations.
(4.
) To be responsible for providing technical guidance or solutions ;define, advocate, and implement best practices and coding standards for the team.
Recommended Skills Architecture Communication Curiosity Problem Solving Python (Programming Language) Sql Databases Estimated Salary: $20 to $28 per hour based on qualifications.
Strong hands on experience on Python SQLGood experience in Maintaining and running ML Models Worked on Minimum two end to end ML projectsKnowledge in Time series Text Mining Classification RegressionExperience in developing ML models work closely with business stakeholdersUnderstand requirement from business teamSound knowledge on the terminologies that defines the field of MLShould be able to drive the ML predictions for product divisionExcellent documentation presentation and written communication skillsShould be a quick learner & self driving personSnowflake cloud warehouse knowledgeNice to have knowledge on Azure MLMaintaining and troubleshooting Jupiter notebooks with ML Models and data pipelines.
Developing ML models, work closely with business stakeholdersAnonymize and operationalize data pipes from Datawarehouse or System REST APIs for ML modelsProvide data insight and feedback to Analyst Data Scientist leader and Business users (1.
) To ensure process compliance in the assigned module, and participate in technical discussionsorreview as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).
(2.
) To develop and guide the team members in enhancing their technical capabilities and increasing productivity (3.
) To prepare and submit status reports for minimizing exposure and risks on the project or closure of escalations.
(4.
) To be responsible for providing technical guidance or solutions ;define, advocate, and implement best practices and coding standards for the team.
Recommended Skills Architecture Communication Curiosity Problem Solving Python (Programming Language) Sql Databases Estimated Salary: $20 to $28 per hour based on qualifications.
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