Requirements:

6-8 years experience in AI Cognitive skills
Proficient at CI/CD, Kubernetes, Dynamo DB, Python, DB Migration
Good communication skills.

Job Desc:

We are looking for a Software Engineer to design and implement core components of our data science services and platform and scale it to serve globally.
The focus of this engineer will be at the intersection of computer systems and machine learning. You will also work collaboratively with the data science and analytics teams to ship scalable, performant, and reliable solutions.

The successful candidate will:

Develop and/or implement services to enable data scientists and ML engineers. These services will include model training, model serving, and model management
Evaluate new AI/ML Frameworks for possible long-term approaches
Develop proof-of-concept (POC) projects designed to evaluate the feasibility of new data science projects, vendor-supplied machine learning, and/or AI platforms
Work with the user community to anticipate services and platform needs to be required to support algorithm development, model training, model management, data engineering, and model serving
Facilitate deep technical discussions with end-users and partner
Advance and improve development practices with the engineering team through participation in architecture, technical design, and code reviews

Basic Qualifications

Strong Computer Science fundamentals
2+ years of non-internship professional software development experience
Programming experience with at least one modern language such as Java, Python, Golang including object-oriented design
Experience with Kubernetes and the broader container ecosystem
Experience with container-native machine learning ecosystems such as Kubeflow
Experience with AWS services (EC2, S3, DynamoBD, EMR)
Knowledgeable about machine learning (concepts and application)
Excellent written and oral communication skills on both technical and non-technical topics

Additional Qualifications

Experience with Big Data technologies (e. g. Spark)
Experience with Databricks ecosystem
Experience with SageMaker ecosystem
Experience with workflow orchestration systems such as Airflow
Experience with Infrastructure as Code practices and technologies like Terraform
Experience with source code control systems like GIT

AI Cognitive Developer