AI ML

Position Title: AI ML
Tier: Tier2
Role: A Team Lead (Ops) is responsible for ensuring that solutions and services are delivered to customers and stakeholders on time and in line with the SLA, company policies and controls. Provide direction, instructions and guidance to the team for achieving the set goal.
Key Responsibilities
Key Business Requirements:

• Python Experience
• Bayesian Statistics

• Ads Measurement (P1), Market mixed modelling exposure
  

Experience
Min 2-3 years in each aspect of the above requirements
Data Science Skills
Expertise in analyzing the large data sets (Advertisement related can be a good match), manipulate and clean the data sets by using Python
Strong understanding in developing statistics models, with a focus on Bayesian methods
Development and implementations of market mix modelling (MMM) strategies
Technical Skills

Looking to get Placed? Try our Placement Guarantee Plan

Get Hired

Analysis of AI model training , data analysis
Experience in working as Data Analyst or similar role
Proven experience working with Python for data analysis and manipulation
Strong understanding of statistical concepts, experience in Bayesian is added advantage
Experience with Data Visualization tools
Excellent skills in Python (most common) or PySpark (for large-scale data processing).
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 21,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.