Technology Lead

Job Description

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.