High Salary AI Team Lead

3 weeks ago

Jaipur, Rajasthan, India Vaibhav Global Full time
Job Description

- Leadership and Team Management:
- Lead, mentor, and manage a team of AI/ML engineers and data scientists.
- Set clear goals, define KPIs, and monitor team performance.
- Foster a culture of innovation, collaboration, and continuous learning.
- AI/ML Development and Deployment:
- Oversee the development, training, and deployment of machine learning models using Azure ML.
- Implement MLOps pipelines for continuous integration, delivery, and monitoring of AI solutions.
- Lead initiatives in LLMOps for deploying and fine-tuning large language models (LLMs) at scale.
- Solution Design and Architecture:
- Design robust AI architectures that integrate with cloud services, ensuring scalability and reliability.
- Leverage Azure ML services such as Model Registry, Data Labeling, and Experimentation for efficient workflows.
- Ensure seamless integration of AI models into production environments.
- Operational Excellence:
- Establish and maintain automated pipelines for data preprocessing, model training, testing, and deployment.
- Monitor model performance and drift, implementing strategies for retraining and optimization.
- Ensure compliance with data governance, privacy, and **ethical AI standards.
- Stakeholder Collaboration:
- Collaborate with cross-functional teams, including product managers, data engineers, and business leaders, to align AI solutions with organizational goals.
- Communicate technical concepts and progress effectively to both technical and non-technical stakeholders.
- Qualifications:
- Education:
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related fields.
- Experience:
- 6+ years of experience in AI/ML, with at least 2 years in a leadership role.
- Proven experience in deploying models using Azure ML.
- Hands-on expertise in MLOps frameworks (e.g., MLflow, Kubeflow) and LLMOps tools (e.g., LangChain, Hugging Face).
- Technical Skills:
- Strong programming skills in Python, R, or similar languages.
- Proficiency in cloud platforms, especially Azure.
- Experience with CI/CD tools like GitHub Actions, Jenkins, or Azure DevOps.
- Knowledge of containerization and orchestration (e.g., Docker, Kubernetes).

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