Fresh Tri is looking for an AI Engineer to design, build, and maintain smart, scalable AI systems that directly impact their products and user experience, bringing next-gen AI-driven features from prototype to production.
Requirements
- Familiarity with NLP, computer vision, or generative AI and LLMs (e.g., LangChain).
- Proficiency in Python (or Java/R)
- Hands-on with ML frameworks: TensorFlow, PyTorch, scikit-learn, Spark, etc.
- Cloud and DevOps tooling: Docker, AWS/GCP/Azure, Mlflow or equivalent MLOps tools
- Strong in data engineering: ETL pipelines, SQL/NoSQL, data preprocessing
- Demonstrated experience deploying models in production settings.
- Experience contributing to open source AI projects or possessing industry-recognized certifications (e.g. Azure AI Engineer, Google ML Engineer, etc.).
Responsibilities
- Design, train, and validate machine learning models (e.g., classification, forecasting, recommendations) using real-world datasets.
- Develop and maintain MLOps pipelines, integrating CI/CD, model monitoring, and version control to ensure reliability and scalability.
- Rapidly prototype AI features and deploy robust solutions
- Conduct hyperparameter tuning and efficiency testing to optimize for accuracy, latency, throughput, and resource utilization.
- Work alongside product teams to translate business needs into practical AI solutions; clearly document and communicate methodologies and results.
- Ensure fairness, interpretability, and regulatory compliance in AI deployments.
- Implement monitoring strategies to detect model drift, bias, or performance degradation.
Other
- Bachelor’s degree in Computer Science, AI, Data Science, or related field; Master’s degree preferred.
- Excellent analytical thinking, communication skills, teamwork, adaptability, and attention to detail.
- Domain expertise (e.g., AdTech, FinTech, Healthcare) that informs feature engineering and system design.
