Senior AI Engineer

Position Title: Senior AI Engineer

Role Summary:

Seeking an innovative and highly skilled AI Engineer to design, develop, and deploy advanced AI solutions that elevate our Data Science capabilities. This role will partner with Data Science, Product, and Engineering to deliver scalable AI products across marketing, sales, operations, and member experience, while ensuring security, reliability, and responsible AI practices.

Work Hours and Location: Must be willing to work from the Hyderabad office on Eastern Standard Time Zone

Key Responsibilities:

AI Solution Engineering:

• 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.

Technical Qualifications Needed:

Education:

• Bachelors or Masters degree in Computer Science, Engineering, Statistics, or a related field.

Mandatory Required skills:

• 5 to 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.

Certifications

• Azure AI Engineer Associate and/or relevant machine learning certifications preferred.