G & PS Government Technology Assistant Manager

About KPMG in India

KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. 

KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.

About KPMG in India

KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. 

KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.

 

Responsibilities:

1.       Building and deploying relevance models that caters the requirements including classification, regression, semantic-instance segmentation, object detection, tracking, etc , keeping scalability and performance in mind through design and engineering choices.

2.       Capability to leverage the cutting-edge machine learning techniques in computer vision

3.       Develop advanced computer vision and state of the art deep learning models for building an understanding of software applications

4.       Participate in code review and process improvement

5.       Build infrastructure needed for AI/ML systems such as model inference, automated re-training, monitoring and explainability

6.       Deep understanding of the family of CNN algorithms such as RCNN, Fast RCNN, Faster RCNN, Yolo, etc.

7.       Strong hands on experience on deep learning libraries and frameworks such as pytorch, Fastai, TensorFlow, OpenCV, etc.

Equal employment opportunity information 

KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.

Basic Qualifications:

1.       Bachelor’s degree in Computer Science or related field or equivalent technical experience

2.       3+ years of industry experience in software design, machine learning, deep learning, image and video preprocessing, computer vision, and algorithm related solutions

3.       2+ years of experience in any programming language, Python or C++ is preferred

4.       Analytical approach and strategic thinking coupled with solid communication skills and a sense of ownership

5.       Experience with public cloud tools GCP/AWS/Azure (any) is a plus

6.       Bonus points for experience in  ML/AIops