Role & Responsibilites:

• Developing high-level solution architectures and working with our offshore team of big dataengineers and decision science analysts to build, test and assess models that predict and optimize business outcomes based on client’s success criteria.

• Develop sophisticated yet simple interpretations and communicate insights to clients that lead to quantifiable business impact.

• Building deep relationship with all stakeholders (Product manager, product owner, clients implementation team, delivery team) by understanding their stated but more importantly, latent needs.

• Working closely with the offshore delivery managers to ensure a seamless communication and delivery cadence.

Skills Required:
Apart from being Driven, Energetic and Ambitious, you’ll need the following:
Hands-on experience in either python or R
Expertise in atleast 1 AI/ML discipline (such as Statistical modeling, Computer Vision, Recommender
Systems or Natural Language Understanding).

First-hand experience with deploying and maintaining deep learning systems and services in production at scale.

Expertise in Tensorflow or PyTorch is a must
Good to have experience deploying ML software on Kubernetes
Good to have exposure to TensorRT, DeepStream, Transfer learning toolkit and CUDA
Can break down projects into actionable tasks
Must know how GitLab for release management
Passion for working across teams and with stakeholders on all sides of the project
Ability to implement a research paper, as well as augment the current solution and communicate it to clients and team
Experience in cloud infrastructure like GCP, AWS and Azure, gets brownie points
Great analytical skills, with expertise in analytical toolkit such as Logistic Regression, Cluster
Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis