Legato Off Campus Recruitment For Freshers Across India
Eligibility: B.E./B.Tech, M.E./M.Tech, MSc
Job Location: Hyderabad
Experience Required: Fresher
Last Date To Apply: 5th June 2020
Candidate Profile and Criteria:
- This recruitment drive of Legato is for candidates who are pursuing B.E/B.Tech/M.Tech/M.S in Computer Sciences or Engineering or Mathematics.
- Only 2020 batch pass outs are eligible.
- Candidate can have 0 to 1 years of Programming experience in Python
- Candidate should have Deep understanding of AI Concepts, Techniques and Algorithms.
- Critical Thinking and passion to learn/deliver.
- Preferred Colleges only – IIT/IIIT/NIT/CMI/ISI/IISc/BITs
- SKILLS AND COMPETENCIES:
- ML Model development
- Mathematics – linear Algebra expertise
- Data engineering basics
- Machine Learning concepts and some experience in college projects
- Deep learning or computer vision is highly desirable.
- Hands on Python programming expertise. Must have worked on Jupyter notebooks/CloudAI Platforms.
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Company Profile:
Company’s Name: Legato
Company’s Website: jobs.legatohealth.com
Established in November 2017, Legato is an independent services provider to the Anthem companies with the purpose of leveraging global scale and executional expertise to transform health care as a GIC (Global Inhouse Center).
Our services include
- Enrollment and Billing
- Commercial Claims
- Enterprise Benefits Administration
- IT Application Development
We are headquartered in North Bangalore in the Manyata Embassy Business Park, situated on Outer Ring Road, in close proximity to the Kempegowda International Airport. Developed across sprawling 110.5 acres, the park is home to 45 industry leading companies, many of which are global organizations. We have a second site in Hyderabad.
Our state-of-the-art offices are designed to encourage and facilitate collaboration and co-creation.
Job Details and Description:
- Design, Development and Deployment of various AI products.
- Hands on development, Programming and Testing/Validation of AI Engineering Components.
- Data Sciences.
- Data Engineering.
- AI Model Management Life Cycle Management including ML Ops in Cloud.
- Salary: Not Disclosed
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