- Strong Programming skills in Python & Python based frameworks such as Celery, Flask, Django, FAST API etc.
- Experienced in building V3 REST APIs
- Experience in ML SDLC, Microservices Architectures, building pipelines and productionizing Python and Java applications.
- Hands on experience in AWS apps such EC2, S3 Data Lake etc.
- Strong knowledge in CI/CD pipelines and tools such as Jenkins, Splunk, CloudWatch, Grafana, Dynatrace, Terraform. etc.
- Experience in deploying applications in Kubernetes and AWS platform.
- Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
- Familiarity with data pipelines and ML pipelines right from Data Extraction to Insights generation
- Familiarity with Databases such as Mongo, Graph (Neptune, Neo4j etc.) will be a plus.
- Environment/OS: Linux - Commands & scripting
Qualifications & Relevant Experience
- Bachelor s degree in engineering preferably in Computer Science OR a related area with necessary software skills gleaned academically and through working experience.
- 3-7 years of relevant work experience
