What are the responsibilities and job description for the AI/ML Lead position at Percient Inc.?
Job Summary
We are seeking a highly skilled Software Development Engineer (AI/ML Lead) with strong expertise in Artificial Intelligence and Machine Learning. The ideal candidate will have proven experience in building, implementing, and customizing advanced AI/ML models, along with strong software engineering fundamentals. This role requires collaboration in a fast-paced, innovative environment.
Key Responsibilities
- Design, develop, and implement AI/ML applications, with a focus on Large Language Models (LLMs) and their integration into enterprise systems.
- Develop scalable solutions using Python, R, or Java.
- Customize and optimize prebuilt models such as GPT, BERT, and DALL-E for business use cases.
- Architect and deploy high-performance LLM-based applications.
- Implement MLOps practices using tools like LangChain, LlamaIndex, and Ragas for model deployment and monitoring.
- Build applications leveraging Natural Language Processing (NLP) and Computer Vision.
- Collaborate with cross-functional teams to gather requirements and deliver solutions.
- Contribute to AI/ML research initiatives (papers, conferences, innovation programs).
- Stay up to date with the latest advancements in AI/ML technologies.
Mandatory Skills
- Strong hands-on experience in AI/ML development and implementation.
- Proficiency in Python, R, or Java.
- Expertise in deep learning frameworks: TensorFlow, PyTorch, or Keras.
- Experience with LLMs and prebuilt model customization (GPT, BERT, DALL-E).
- Knowledge of MLOps practices and tools.
- Experience with cloud platforms: AWS, Google Cloud Platform, or Azure.
- Hands-on experience with Docker and Kubernetes.
- Familiarity with cloud AI services such as Amazon Bedrock, AWS SageMaker, Google Vertex AI.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
Preferred Skills
- Experience with AI/ML APIs and cloud AI services (Google AI, Azure AI, AWS SageMaker).
- Knowledge of Agile methodologies and modern software development practices.
- Contributions to AI/ML research (publications, conference presentations).