- Develop AI & GenAI Solutions
- Build and deploy machine learning and LLM-based solutions (e.g., RAG, copilots, intelligent agents)
- Apply NLP/AI techniques to extract insights and automate workflows • Productionize AI Models
- Develop scalable APIs and microservices for model deployment
- Implement CI/CD pipelines and ensure monitoring, logging, and performance optimization • Integrate with Enterprise Platforms
- Design data pipelines and integrate AI models into cloud platforms and business applications
- Collaborate with data engineering teams on data ingestion and transformation • Ensure Responsible AI & Governance
- Align solutions with AI governance, compliance, and ethical standards
- Support model transparency, auditability, and risk mitigation • Collaborate & Deliver
- Partner with product owners, architects, and business teams to deliver AI use cases
- Contribute to reusable components, engineering standards, and best practices
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- 4+ years of experience in AI/ML Engineering or Software Engineering
- Strong programming skills in Python
- Hands-on experience with:
- Machine Learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn)
- LLMs / GenAI (Azure OpenAI, LangChain, RAG patterns)
- Experience building APIs, microservices, and production ML pipelines
- Exposure to cloud platforms (Azure preferred) and data pipeline development We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive setting for all employees