AI/ML Lead

Job Summary:

We are seeking a highly skilled Software Development Engineer with a strong focus on AI and Machine Learning (ML) to join our dynamic team. The ideal candidate will possess exceptional engineering skills in AI/ML, with a proven track record of implementing and customizing advanced models. This role requires a deep understanding of software development best practices and the ability to work collaboratively in a fast-paced environment.

Responsibilities:

• Design, develop, and implement AI/ML applications, focusing on large language models (LLMs) and their integration into existing systems.
• Utilize programming languages such as Python, R, or Java to create robust and scalable software solutions.
• Customize and optimize prebuilt models like GPT, BERT, and DALL-E for specific use cases.
• Architect and design LLM-based applications, ensuring high performance and reliability.
• Implement MLOps practices using tools such as Langchain, Llama Index, and Ragas to streamline model deployment and monitoring.
• Develop and maintain applications utilizing natural language processing (NLP) and computer vision technologies.
• Collaborate with cross-functional teams to define project requirements and deliver high-quality software solutions.
• Contribute to research initiatives in AI/ML, including publishing papers and presenting at conferences.
• Stay updated with the latest trends and advancements in AI/ML technologies and methodologies.

Mandatory Skills:

• Strong AI/ML lead engineering skills with a focus on implementation.
• Proficiency in programming languages such as Python, R, or Java.
• Deep understanding of deep learning frameworks including TensorFlow, PyTorch, or Keras.
• Experience in customizing and deploying prebuilt models like GPT, BERT, and DALL-E.
• Knowledge of MLOps tools and practices.
• Experience with cloud platforms (AWS, Google Cloud Platform, Azure) and containerization technologies (Docker, Kubernetes).
• Familiarity with relevant cloud services such as Amazon Bedrock, SageMaker, and Google Vertex.AI.
• Strong problem-solving skills and the ability to work independently as well as in a team environment.
• Excellent written and verbal communication skills.

Preferred Skills:

• Experience with AI/ML APIs and services (e.g., Google Cloud AI, Azure AI Services, AWS SageMaker).
• Knowledge of software development best practices and agile methodologies.
• Contributions to AI/ML research, including published papers and conference presentations.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Demonstrated ability to lead AI/ML projects from conception to deployment.
• Strong analytical skills and a passion for technology and innovation.