Data science engineer - PULSE

Key Skills

Java Programming, Python Programming, MongoDB, SQL, DevOps, PyTorch, TensorFlow, Apache Airflow, Kubernetes-K8s, Natural Language Toolkit - NLTK, Kubeflow

Job Description

• Designation / Job Title : SE or SSE
• Years of Experience : 2-4years
• Location : Bangalore - India

Required experience and qualifications:

• Master’s degree in Computer Science, related technical field or equivalent practical experience
• Strong knowledge in CI/CD/CT pipelines implementation (DevOps)
• Strong Software development skills and conceptual understanding
• Experience in data processing using traditional and distributed systems (e.g MongoDB, Airflow)
• Experience with Kubernetes (Preferably AKS)
• Experience in the operationalization of AI/ML use cases using at least one of the popular frameworks or platforms (e.g. PyTorch, Tensorflow, Kubeflow).
• Good understanding of ML and AI concepts. Hands-on experience in ML model development and model serving (e.g. RaySGD)
• Proficiency in Python used both for ML and automation tasks. Good knowledge of Bash and Unix command-line toolkit
• Experience in Data landscape
• Experience working with fast-paced product development team
• Experience in writing production level code (FAANG standards is a plus)
• Required qualifications for this role: Years of Experience - 2 to 4 Years

Skills :

Mandatory Skills:

• Good understanding of ML and AI concepts. Hands-on experience in ML model development and model serving (e.g. RaySGD).
• Good understanding of NLP and DP

Skills:

• Azure Service Fabric