Fine-tunes a large language model on proprietary data to improve its performance
Developing new machine learning models from scratch
Experiments with novel model architecture or algorithms
Conducts and publishes research on AI models
Research and develop cutting-edge AI models, including deep learning, reinforcement learning, and generative architectures
Advance agentic capabilities by designing autonomous systems that can reason, plan, and interact with complex environments
Prototype and refine novel algorithms to improve model performance, scalability, and interpretability
Collaborate with cross-functional teams to translate theoretical advancements into practical enterprise applications
Conduct rigorous experimentation and benchmarking to evaluate model efficacy and robustness
Publish findings, contribute to open-source initiatives, and stay abreast of emerging trends in AI research
Ensure ethical AI development by incorporating fairness, transparency, and accountability into model design
Optimize training pipelines and infrastructure for large-scale model deployment and continuous learning
Mentor junior researchers and contribute to the development of internal AI knowledge bases and best practices
Partner with data engineering and product teams to integrate AI solutions into production systems
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
Bachelor's or master's degree in computer science, Engineering, or a related field
8+ years of experience in software development
3+ years of experience delivering solutions with a focus on AI/ML
Extensive experience implementing generative AI solutions using OpenAI compatible APIs
Hands-on experience with Azure Functions, Azure Monitor, and App Insights
Experience with Cloud-based AI and data services like Python, Databricks, RAG, Agentic, AI Foundary, LangFuse
Experience in GitHub & M365 Copilot, Deep learning frameworks such as PyTorch, TensorFlow, Scikit Learn
Experience with frontend development using React or Angular, and backend services using Java or .NET
Experience to lead the design and implementation of intelligent applications using Azure OpenAI, LLM Gateway, and Retrieval-Augmented Generation (RAG) techniques.
Experience to drive end-to-end delivery of AI-powered solutions across cross-functional teams
Solid understanding of RAG architecture including knowledge of vector databases and semantic search
Expertise in Azure Document Intelligence, OCR, and Databricks
Expertise in enterprise search, NLP, Speech AI, Vision AI, Supervised and unsupervised ML
Advanced proficiency in Python for AI/ML and automation
Proven excellent communication and stakeholder management skills
Preferred Qualifications:
Azure certifications (e.g., Azure AI Engineer Associate, Azure Developer Associate)
Experience with prompt engineering and fine-tuning LLMs
Experience working in agile development environments
Knowledge with Agentic AI concepts and Implementation
Job Classification
Industry: RetailFunctional Area / Department: Engineering - Software & QARole Category: Quality Assurance and TestingRole: Blockchain Quality Assurance EngineerEmployement Type: Full time