Senior Machine Learning - VN

What You’ll Be Doing:

• Generative AI (Proven Track Record Required)
·         Designing, fine-tuning, and deploying LLMs in production environments
·         Building and integrating AI-powered chatbots, virtual assistants, and Retrieval-Augmented Generation (RAG) pipelines
·         Expertise in prompt engineering, embeddings, and vector databases (e.g., Pinecone, Weaviate, Chroma)
·         Hands-on experience with Hugging Face Transformers, LangChain, Azure OpenAI, or OpenAI API
·         Demonstrated success delivering Generative AI solutions for real-world business applications


• Traditional ML & Deep Learning
·         Strong background in supervised and unsupervised learning (Scikit-learn, XGBoost, LightGBM, etc.)
·         Deep learning experience with CNNs, RNNs, Transformers using PyTorch or TensorFlow
·         Applied experience in computer vision, NLP, or recommendation systems
·         Ability to select and implement the appropriate ML approach based on business needs


• Engineering & Cloud
·         Strong software engineering skills (Python, Scala, or Java) with a focus on clean architecture and testing practices
·         Experience building scalable ETL/data pipelines
·         Familiarity with ML Ops for CI/CD, deployment, and monitoring
·         Cloud experience (Azure preferred; AWS/GCP acceptable)

Responsibilities:

• Deliver production-ready AI/ML solutions from concept to deployment.
• Lead the design and implementation of Generative AI applications.
• Apply deep learning and traditional ML methods as appropriate.
• Build scalable, cloud-native AI services and APIs.
• Implement ML Ops pipelines for automation, testing, and monitoring.
• Collaborate with product, engineering, and infrastructure teams.
• Mentor teams on best practices for both traditional ML and Generative AI.

Qualifications:

• Proven track record in delivering Generative AI/LLM solutions in production environments.
• Minimum 4 years of programming experience with Python, Scala, or Java.
• At least 2 years of hands-on experience with Generative AI or conversational AI projects.
• Experience deploying traditional ML and deep learning models at scale.
• Strong experience with PyTorch, TensorFlow, Scikit-learn, and relevant AI libraries.
• Familiarity with vector search, embeddings, and semantic search architectures.
• Understanding of ML Ops best practices for production deployments.

Location

• This is a remote / virtual role
• Candidate needs to be based in Vietnam