Machine Learning Engineer

Position Description :

Company Profile :

At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72, professionals located in 40 countries. Founded in , CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72, professionals located in 40 countries. Founded in , CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please.

Job Title : Machine Learning Engineer

Employment Type : Fulltime

Exp : 5+ years

Location : Pune

Job Description :

Machine Learning Engineer who has worked on building and optimizing machine learning solutions at scale and the person should have hands-on experience in writing effective and scalable python code.

Your future duties and responsibilities :

Role & Responsibilities :

• Responsible for designing, implementation, scalable & optimization of end to end AI / ML usecases
• Python Expert in developing the backend code.
• Establish and implement engineering excellence guidelines for the team.
• Hands-on development on Machine Learning code and collaborate with Data Scientists to optimize ML models for high throughput and low-latency use cases
• Work with our AI platform and feature teams to help them successfully integrate the python codes and ML models
• Build tools and automation to improve systems availability, reliability, performance, monitoring and scalability.
• Integrate ML model training, inferencing into Data pipelines.
Skills :
• GIT
• GIT
• Kubernetes
• Python
• Artificial Intelligence