Senior AI Engineer

As a Senior AI Engineer at Avathon, you will play a key role in designing and delivering advanced AI solutions with a strong emphasis on Generative AI and Large Language Models (LLMs). You will apply scientific rigor to develop scalable, production-ready machine learning systems that drive measurable business impact, working on challenging problems in forecasting, demand planning, renewable energy optimization, anomaly detection, and prescriptive maintenance. With minimum 5 years of industry experience, you are expected to bring strong expertise in statistical modeling, ML engineering, and modern AI architectures, particularly in GenAI and LLM-based applications. This role offers the opportunity to work on high-impact projects that shape next-generation AI capabilities within the organization.

You Will

Design, develop, and deploy machine learning and Generative AI solutions to solve complex business problems

Build, fine-tune, and optimize Large Language Models (LLMs) and transformer-based architectures for real-world applications

Apply rigorous scientific methodologies to experimentation, model evaluation, and performance optimization

Develop scalable ML pipelines and production-grade systems in collaboration with Engineering teams

Conduct prompt engineering, model alignment, evaluation, and performance benchmarking for GenAI applications

Work closely with Product, Engineering, and Business stakeholders to translate ambiguous requirements into data-driven AI solutions

Instrument and monitor LLM applications in production using observability tools, tracking cost, latency, quality, and drift

Contribute to model governance, responsible AI practices, and performance monitoring in production environments

Stay current with advancements in Generative AI, LLM research, and applied machine learning, incorporating relevant innovations into company solutions

You'll Have

Master’s or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field

Minimum 5 years of hands-on industry experience in AI engineering, machine learning, data science, or applied AI roles

Strong experience with Generative AI frameworks and Large Language Models (e.g., transformer architectures, fine-tuning, RAG systems)

Proficiency in Python and modern ML/AI libraries such as PyTorch, TensorFlow, Hugging Face, or equivalent ecosystems

Solid understanding of statistical modeling, experimentation, and model evaluation methodologies

Experience building and deploying ML models into production environments

Familiarity with data engineering workflows and cloud-based ML platforms (AWS, GCP, or Azure)

Strong problem-solving skills with the ability to work independently on complex and ambiguous problem statements

Excellent communication skills with the ability to present technical insights clearly to cross-functional stakeholders