Technology Lead

Roles & Responsibilities:

Hands-on experience in implementation and performance tuning of Kinesis, Kafka, Spark or similar implementations

Hands on experience with AWS technology stack and AWS AI stack including AWS Sagemaker & MLOps.

Experience in Python and python frameworks (Django, Flask, Bottle), via various IDEs like PyTorch, Jupyter, Java/.Net, and other open-source libraries, building and designing REST APIs, etc.

DevOps / Deployment automation using Terraform, Jenkins

Knowledge of software design patterns/architecture like Micro-services, Layered pattern, etc.

Passionate teammate who understands and respects personal & cultural differences

Ability to work under pressure and be highly adaptable

Strong written and communications skills for collaboration with various teams and upper management

Solid analytical skills, especially in area of translating business requirements into technical design with a continuous focus on aligning technical roadmap with the immediate and long-term Business strategy

Able to adapt and embrace change and support business strategy and vision.

Requirements / Qualifications

Bachelors/Masters or PhD in Computer Science, Physics, Engineering or Math.

4 - 8 years of total software development and Data platform implementation experience

Hands on experience working on large-scale data science/data analytics projects

Experience Implementing AWS services in a variety of distributed computing, enterprise environments.

Experience with at least one of the modern distributed Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, MxNet Caffe, and Keras.

Experience building large-scale machine-learning infrastructure that have been successfully delivered to customers.

3+ years experiences developing cloud software services and an understanding of design for scalability, performance, and reliability.

Ability to prototype and evaluate applications and interaction methodologies.