Software Development Engineer (AI/ML Lead

PERCIENT INC.

Dallas, TX, United States

2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

dice.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Computer Vision Microsoft Azure Cloud Computing Python (Programming Language) Machine Learning Natural Language Processing Tensorflow

+13 more

Software Engineering Software Organization Google Cloud Pytorch Large Language Models Deep Learning Software Application Programming Keras Dall-E AI Platforms Machine Learning Operations GPT Docker

Job description

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., * 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.

Requirements

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).