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.