AI or ML Engineer

Benefits

• Health insurance
• Opportunity for advancement
• Training & development

Primary Responsibilities

• Work with Sr. AI/ML engineers and Leadfor Experiments with novel model architectures or algorithms
• Up to date with cutting‑edge AI models, including deep learning, reinforcement learning, and generative architecture
• 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
• Partner with data engineering and product teams to integrate AI solutions into production systems

Required Qualifications

• Bachelor's or master's degree in computer science, Engineering, or a related field
• 5+ years of experience in software development
• 2+ years of experience delivering solutions with a focus on AI/ML
• Extensive experience implementing generative AI solutions using OpenAI compatible APIs
• Experience with Cloud‑based AI and data services like Python, Databricks, RAG, Agentic, AI Foundary, LangFuse
• Experience with frontend development using React or Angular, and backend services using Java or .NET
• Experience in GitHub & M365 Copilot, Deep learning frameworks such as PyTorch, TensorFlow, Scikit Learn
• Experience in collaborating and working with Sr. AI/ML engineers and Lead to develop new machine learning models from scratch or improvising it
• Solid understanding of RAG architecture including knowledge of vector databases and semantic search
• Advanced proficiency in Python for AI/ML and automation
• Proven expertise in Azure Document Intelligence, OCR, and Databricks
• Proven enterprise search, NLP, Speech AI, Vision AI, Supervised & unsupervised ML
• Proven ability to lead the design and implementation of intelligent applications using Azure OpenAI, LLM Gateway, and Retrieval‑Augmented Generation (RAG) techniques
• Proven drive end‑to‑end delivery of AI‑powered solutions across cross‑functional teams
• Proven excellent communication and stakeholder management skills

Preferred Qualifications

• Experience with prompt engineering and fine‑tuning LLMs
• Experience working in agile development environments
• Knowledge of Agentic AI concepts & Implementation