AI Engineer - INTL India

• Design, build, and deploy AI/ML solutions leveraging LLMs, NLP, forecasting, personalization, and generative AI use cases.

• Translate business problems into technical designs, model architectures, and scalable services.

Model Development & Optimization:

• Implement and train deep learning models (e.g., transformers, sequence models) using PyTorch/TensorFlow.

• Run experiments, hyperparameter tuning, and evaluation; document results and recommendations.

Production Integration:

• Work with ML Ops to operationalize models through CI/CD, model registries, and repeatable training pipelines.

• Develop APIs and batch scoring jobs; ensure performance, latency, and cost targets.

Governance & Responsible AI:

• Apply responsible AI practices: bias assessment, explainability where needed, and model risk documentation.

• Ensure compliance with data privacy, security, and internal standards.

• 5-8+ years of hands-on experience in AI/ML engineering or applied machine learning.

• Expert Python and strong software engineering practices (testing, packaging, code review).

• Expertise with NLP/LLMs.

• Experience deploying models to production (batch and/or real-time) in cloud environments (Azure preferred).

• Strong understanding of model evaluation, monitoring concepts, and data/feature quality.

Desired Skills:

• Experience with Azure Machine Learning, Databricks, MLflow, and vector databases.

• Experience building retrieval-augmented generation (RAG) systems and prompt evaluation.

• Strong communication skills with ability to explain technical concepts to business stakeholders.