Company: Trianz
Position: AI/ML Engineer
Employment Type: Full-Time
Work Location: Remote
Trianz is looking for a talented AI/ML Engineer to join our growing engineering team. You will design, develop, and deploy machine learning and generative AI solutions that solve real-world business challenges. This is an excellent opportunity to work with modern AI technologies, cloud platforms, and large-scale production systems.
- Design, build, and deploy machine learning models and AI-powered applications.
- Develop and optimize Generative AI solutions using Large Language Models (LLMs).
- Build RAG (Retrieval-Augmented Generation) pipelines and AI agents.
- Fine-tune and evaluate machine learning models.
- Work with structured and unstructured datasets for model training and inference.
- Collaborate with software engineers, data engineers, and product teams.
- Deploy AI workloads using cloud platforms such as AWS, Azure, or GCP.
- Monitor, improve, and maintain production AI systems.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- 4+ years of experience in Machine Learning or AI development.
- Strong programming skills in Python.
- Experience with TensorFlow, PyTorch, or Scikit-learn.
- Experience with LLMs such as GPT, Llama, Claude, or Gemini.
- Knowledge of LangChain, LangGraph, or similar AI frameworks.
- Experience with vector databases such as Pinecone, Weaviate, Milvus, or ChromaDB.
- Familiarity with REST APIs, Docker, Git, and CI/CD.
- Good understanding of cloud platforms (AWS, Azure, or GCP).
- Experience building production-grade AI applications.
- Knowledge of MLOps tools and model deployment.
- Experience with Kubernetes and containerized environments.
- Familiarity with prompt engineering and AI evaluation techniques.
Monthly Salary: USD $2,500 – $4,000 (based on experience and qualifications)
- Work on cutting-edge AI and Generative AI projects.
- Collaborative and innovative engineering culture.
- Opportunities for professional growth and continuous learning.
- Flexible remote work environment.
Interested candidates are encouraged to apply with their updated resume.