Artificial Intelligence Engineer
Peloton Consulting Group View all jobs
- Hyderabad, Telangana
- Permanent
- Full-time
As an AI Engineer, you will be responsible for:
- Design, develop, and maintain machine learning and AI models under guidance from senior team members.
- Assist in building data pipelines for model training, validation, and deployment.
- Develop and integrate AI/ML models into applications and client systems.
- Support generative AI and LMM-based use cases (e.g., chatbots, summarization, recommendation engines)
- Perform model evaluation, tuning, and optimization to improve performance and accuracy.
- Document models, code, and technical processes clearly for internal and client use.
- Collaborate with cross-functional teams including consultants, data engineers, and product owners.
- Stay current with emerging AI tools, frameworks, and best practices.
- Contributing to continuous improvement and development of Peloton processes and intellectual property
- Qualified candidates must have a Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
- 1 to 3 years of hands-on experience in AI/ML development
- Strong programming skills in Python with an ability to write clean modular code, manage virtual environments, work with APIs and JSON data
- Experience in ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Solid understanding of machine learning concepts (supervised, unsupervised learning, NLP basics, model evaluation)
- Basic knowledge of LLM application development or prompt engineering.
- Familiarity with logging, exception handling, and diagnostics to support traceability and observability of agentic workflows
- Exposure to cloud infrastructure (preferably Oracle Cloud Infrastructure)
- Comfortable with Git-based workflows and agile development practices
- Familiarity with APIs, REST services, and basic software engineering practices
- Strong analytical and problem-solving skills with an ability to learn quickly
- Detail-oriented, disciplined, and capable of working within structured architectural patterns
- Comfortable working with emerging AI frameworks and evolving specifications