
Manager/Deputy Manager
17 hours ago
Responsibilities & Key Deliverables
- Model Development: Design, implement, and optimize LLMs, GANs, diffusion, RAG models, and VAEs to solve complex problems and create innovative solutions.
- Research and Innovation: Stay abreast of the latest advancements in AI and machine learning, and integrate new techniques and technologies into the company's projects.
- Data Handling: Collect, preprocess, and analyze large datasets to train and validate models, ensuring high accuracy and performance.
- Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI models into applications and services.
- Documentation: Maintain comprehensive documentation of models, experiments, and processes to ensure reproducibility and knowledge sharing.
- Performance Monitoring: Monitor and evaluate the performance of AI models in production, and implement improvements as needed.
Preferred Industries
Manufacturing
Manufacturing and Pr
Computers, Hardware
Computers, Software
Manufacturing & Trad
Education Qualification
- Educational Background: Bachelor's degree (BE/BTech) in Computer Science, Engineering, or a related field, or a Master's degree (MCA) with a strong focus on AI and machine learning.
General Experience
Experience: Approximately 5 years of relevant experience in developing and deploying generative AI models.
Critical Experience
Technical Skills:
- Proficiency in programming languages such as Python, TensorFlow, and PyTorch.
- Strong understanding of LLMs, GANs, RAG models, and VAEs.
- Experience with cloud platforms (e.g., AWS, Google Cloud) and containerization (e.g., Docker).
- Solid knowledge of data preprocessing, augmentation, and visualization techniques.
System Generated Core Skills
Communication Skills
Operations Research (OR)
Operations Management
Team Management
Teamcenter
Project Management
Cordys
Digital Tools
Computer Aided Engineering (CAE)
Requirements Gathering
Testing
Manpower Management
Technology Implementation
Budget Management
Negotiation
Contract Management
Security Management
Access Control
Escalations Management
SAP Product Lifecycle Management (SAP PLM)
SAP
Product Lifecycle Management (PLM)
Skill Development
Training & Development
Market Research
System Generated Secondary Skills
Job Segment: Machinist, Engineer, Manufacturing, Engineering
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