Manager - Machine Learning/Advance Data Analytics - Big 4 - IIT/IIM

6 to 10 years overall
experience
; at least 5 years dedicated advanced analytics and ML

Education :

B.Tech./B.E./Masters Degree/M.Phil./MBA from reputed institute(s).

Candidates with strong educational background and
experience
in Computer Science/Applied Data Science and Analytics are strongly encouraged to apply.

- (Must)
Experience
of having excelled in consulting/analytics environment

- (Must) Prior
experience
of working in an ML driven environment. Specifically, must have
experience
in end-to-end ML pipeline understanding and architecture designs

- (Must) Strong programming skills in python & deep learning frameworks like PyTorch, Tensorflow, etc.

- (Must)
Experience
in designing, developing and deploying models based on modern ML and deep learning architecture - advanced statistical models, NLP and deep NLP, image processing, adversarial networks (GANs)

- (Good to have) Strong understanding of REST API architecture and containers (Kubernetes or Docker).

- (Good to have)
Experience
in data management, deploying and managing ML models on cloud platforms like Azure, AWS or GCP.

- (Good to have) Paper publications or patents in the field of analytics/AI/computer science.

- Strong aptitude along with good academic and professional background.

- Demonstrated contributions in firm and knowledge building activities such as recruitment, intellectual capital development, staffing, marketing, branding

- Ability to contribute beyond the defined scope of work.

- Strong verbal and written communication and presentation skills.

-
Experience
of engaging with International clients and working in an onsite-offshore environment.

- Design and develop ML models, preferably python

- Develop, deploy and manage production pipeline of ML models; automate the deployment pipeline

- Involved in training and research for continuous improvement

- Evolve problem solving capability by producing creative ideas, experimenting and working in an technological innovation driven environment keeping industry demand and applicability of such experiments in consulting engagements.

- Work closely with other teams in a collaborative manner for mutual growth

- Manage communication and project delivery between the involve teams

- Assess the impact of work, and conduct so-what analysis

- Contribute to research, white papers, blog, and other IC development activities

- Keep abreast of market developments, identify growth opportunities