Cloud Based ML development and Deployment AWS or Azure
Requirements
[Qualifications]
Bachelor s Degree in Computer Science, Computer Engineering or equivalent technical degree
Proficient programming knowledge in Python or Java and ability to read and explain open source codebase.
Good foundation of Operating Systems, Networking and Security Principles
2-4 years of relevant experience working on AI/ML projects
[Primary Skills]:
Understanding and hands-on experience with AI/ML Modelling, Libraries, frameworks, and Tools (TensorFlow, Keras, Pytorch)
Proven knowledge of fine-tuning, deploying and developing inference model APIs
Knowledge of Python
Desire to be hands-on and help invent AI for creators and Influencers
[Good to have Skills]:
Experience in GitHub, AWS Code Pipeline Sagemaker will be an advantage
Experience in MySQL, NoSQL, and Columnar database
Exposure to DevOps tools, with experience integrating platform components into Sagemaker / ECR and AWS Cloud environments.
Cloud Based ML development and Deployment AWS
[Responsibilities and Duties]:
The successful candidate will be amenable to working in an exciting, fast paced, dynamic, collaborative environment. The person filling this position must be a hands-on, hardworking, self-motivated developer with strong initiative. You will have a real passion for extraordinary user experiences and an eye for details
Understanding and hands-on experience with AI/ML Modeling, Libraries, frameworks, and Tools
Knowledge of Python
Desire to be hands-on and help invent AI for creators and Influencers
Experience with various Machine Learning algorithms and ability to apply in real life cases
Education Qualification
B.E or Btech
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data Platform EngineerEmployement Type: Full time