| Job Description: |
Requisition ID: 10391242
Job Role: AI/ML Engineer
Location: Bangalore
Skill Required: ML Engineering / Modelling Python Programming GPU frameworks: TensorFlow, Keras, Pytorch etc. Cloud Based ML development and Deployment AWS or Azure.
Experience Range: 2-4 years
Job Description:
[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
• 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]:
• 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.
Essential 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
Desirable skills:
• Experience in GitHub, AWS Code Pipeline & Sage maker will be an advantage
• Experience in MySQL, NoSQL, and Columnar database
• Exposure to DevOps tools, with experience integrating platform components into Sage maker / ECR and AWS Cloud environments.
• Cloud Based ML development and Deployment AWS |
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