Job Description

Area(s) of responsibility

We are seeking a highly skilled and experienced AI/ML Architect / Lead to join our dynamic team. The successful candidate will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) technologies within our organization. This role involves leading a team of data scientists and engineers, collaborating with stakeholders to understand their business problems, and developing AI/ML models to solve them. The AI/ML Architect / Lead will also be responsible for staying up-to-date with the latest industry trends and technologies to ensure our company remains competitive and innovative.

Responsibilities

• Design and implement AI/ML architecture and solutions according to project requirements.
• Lead the development and deployment of AI/ML models using Langchain and other tools.
• Manage the integration of REST APIs into the AI/ML architecture.
• Oversee the entire lifecycle of AI/ML projects, including planning, development, testing, and deployment.

Required Skills

• Solution Architecture: The candidate must have a strong understanding of designing, integrating, and managing complex infrastructure solutions.
• Langchain: Proficiency in Langchain is essential for this role. The candidate should be able to use this tool to develop and implement AI models.
• REST API's: The candidate should have a solid understanding of REST APIs, including how to develop, integrate, and manage them.
• The candidate must have a Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field, with a PhD preferred.

Preferred Skills

• Python: Knowledge of Python, a popular language for AI and ML, is beneficial.
• TensorFlow: Experience with TensorFlow, an open-source platform for machine learning, is a plus.
• Cloud Platforms: Familiarity with cloud platforms like AWS, Google Cloud, or Azure is advantageous.
• Data Analysis: Skills in data analysis can help in understanding and interpreting AI/ML data.
• Machine Learning Algorithms: Understanding of various machine learning algorithms is beneficial.
• Deep Learning: Knowledge of deep learning methodologies can be a plus.
• Natural Language Processing: Experience with NLP can be beneficial for certain AI/ML projects.
• Big Data Technologies: Familiarity with big data technologies like Hadoop, Spark, etc. can be advantageous.
• SQL: Knowledge of SQL for database management can be a plus.
• Project Management: Skills in project management can help in overseeing AI/ML projects from inception to completion.

Required Experience

15-25yrs