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Genai Manger- Chennai
2 weeks ago
**Level**:
- M (9+ years’ experience)
**Location**:
- Preferred
**Notice Period**:
- Immediate-30 Days only
**Key Responsibilities**:
- **Design and Development
- Technical Leadership**:
- Provide technical guidance and oversight to ensure high-quality, scalable, and maintainable code.
- Collaborate with data scientists and engineers to develop and deploy machine learning models and GenAI-powered features.
- **GenAI Development**:
- Develop and train GenAI models using popular frameworks such as TensorFlow, PyTorch, or Keras.
- Optimize and fine-tune GenAI models for performance, accuracy, and scalability.
- **Front-end Development**:
- Ensure cross-browser compatibility and optimize front-end performance.
- **Back-end Development**:
- **Testing and Deployment**:
- **Collaboration and Communication**:
- Work closely with cross-functional teams, including data science, product, and design teams.
- Communicate technical concepts and trade-offs to non-technical stakeholders.
**Requirements**:
- **Technical Skills**:
- 10+ years of experience in full-stack development with a focus on JavaScript, Python, or other programming languages.
- Experience with GenAI - Azure Open AI and frameworks such as TensorFlow, PyTorch, or Keras.
- Familiarity with front-end frameworks such as React, Angular, or Vue.js.
- Experience with back-end frameworks such as Node.js, Django, or Flask.
- Knowledge of database management systems such as MySQL, MongoDB.
- **GenAI Skills**:
- Experience with GenAI models /Transformers.
- Knowledge of GenAI ethics and bias mitigation techniques.
- **Soft Skills**:
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
- Ability to work in a fast-paced environment and adapt to changing requirements.
**Nice to Have**:
- **Cloud Experience**:
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Familiarity with containerization using Docker or Kubernetes.
- **DevOps Experience**:
- Experience with DevOps tools such as Jenkins, GitLab CI/CD.
- Familiarity with agile development methodologies such as Scrum or Kanban.
- **Data Science Experience**:
- Experience with data science tools such as Jupyter Notebooks, pandas, or NumPy.
- Familiarity with data visualization libraries.