AI Director

1 week ago

Jaipur, Rajasthan, India beBeeMachine Full time ₹ 15,00,000 - ₹ 28,00,000

Job Title: AI Team Lead

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  • Leadership and Team Management:
  • Create a high-performing team of AI/ML engineers and data scientists by setting clear goals, defining key performance indicators (KPIs), and monitoring team progress.
  • Foster an innovative culture that promotes collaboration and continuous learning.
  • AI/ML Development and Deployment:
  • Oversee the development, training, and deployment of machine learning models using Azure ML.
  • Implement model operations pipelines for continuous integration, delivery, and monitoring of AI solutions.
  • Lead initiatives in large language model operations (LLMOps) for deploying and fine-tuning 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 objectives.
  • 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 continuous integration/continuous deployment (CI/CD) tools like GitHub Actions, Jenkins, or Azure DevOps.
  • Knowledge of containerization and orchestration (e.g., Docker, Kubernetes).

About Us:

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We are committed to fostering a culture of innovation, collaboration, and continuous learning. We believe that our team members are the backbone of our organization, and we strive to create a work environment that supports their growth and development.

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What We Offer:

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  • A competitive salary and benefits package.
  • Ongoing opportunities for professional growth and development.
  • A collaborative and dynamic work environment.

Contact Us:

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Please submit your application through our website. We look forward to hearing from you

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