ML Engineering / Modelling
Python Programming
GPU frameworks: TensorFlow Keras Pytorch etc.
Cloud Based ML development and Deployment AWS or Azure
Qualifications
Bachelors 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
B.E or Btech
Required Skills:
Jon Title - AI/ML Engineer Location-Bengaluru Exp- 2-4 Years Mandatory Skills- ML Engineering / Modelling Python Programming GPU frameworks: TensorFlow Keras Pytorch etc. Cloud Based ML development and Deployment AWS or Azure Job Description Technology and Sub-technology ML Engineering / Modelling Python Programming GPU frameworks: TensorFlow Keras Pytorch etc. Cloud Based ML development and Deployment AWS or Azure Qualifications Bachelors 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
IT Services and IT Consulting