DATA SCIENTIST LEAD L2

Wipro; Hyderabad; On-site; INR 2,200,000 - 3,600,000; Full time

Job summary

Wipro is seeking a Senior ML Lead to define, architect, and lead delivery of machine learning and AI solutions from idea through deployment. The role includes collaborating with sales, pre-sales, and consulting to generate demand and build solution propositions, and to drive revenue through scalable ML/DL deployments.

You will work with ML Engineers, Data Engineers and IT to evaluate deployment options, integrate performance tools, and ensure robust model governance while leading recruitment,

Qualifications

• 8-10 years of experience in data science and ML leadership.
• Strong Python for Data Science skills.
• Experience in delivering ML/AI solutions at scale.

Responsibilities

• Demand generation through support in solution development and GTM collaboration.
• Develop ML/Deep Learning models for decision augmentation or automation.
• Collaborate with ML Engineers, Data Engineers and IT on deployment options.
• Integrate model performance management tools into the current infra.
• Lead recruitment, onboarding, and training; manage team attrition and performance reviews.
• Drive employee engagement and maintain a high-performing team.

Skills

Python for Data Science

Job description

Role Purpose

The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions

Job description:
Job Description

The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions

Do

1. Demand generation through support in Solution development

• a. Support Go-To-Market strategy
  • i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation
  • ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales
• b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses

2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions

• a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions
• b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options
• c. Integrate model performance management tools into the current business infrastructure

3. Team Management

• a. Resourcing
  • i. Support recruitment process to on-board right resources for the team
• b. Talent Management
  • i. Support on boarding and training for the team members to enhance capability & effectiveness
  • ii. Manage team attrition
• c. Performance Management
  • i. Conduct timely performance reviews and provide constructive feedback to own direct reports
  • ii. Be a role model to team for five habits
  • iii. Ensure that the Performance Nxt is followed for the entire team
• d. Employee Satisfaction and Engagement
  • i. Lead and drive engagement initiatives for the team

Deliver

No.Performance ParameterMeasure

1. 1.Demand generationOrder booking
2. 2.Revenue generation through deliveryTimeliness, customer success stories, customer use cases
3. 3.Capability Building & Team Management% trained on new skills, Team attrition %

Mandatory Skills: Python for Data Science .

Experience: 8-10 Years
.

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