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Lead I - ML Engineering
UST
Thiruvananthapuram
6+ years
Today
$44.6K–57.8K/yr
Full-time
Onsite
Skills Required
LLM
RAG
Gen AI
Agentic AI
GPT
Transformers
Machine Learning
Deep Learning
NLP
AI
PyTorch
TensorFlow
Scikit-learn
BERT
MLOps
Description
UST is seeking a hands-on AI Lead to shape and deliver next-generation AI solutions for complex real-world problems. The role focuses on classical ML, Generative AI, and Agentic AI systems, with an emphasis on production-grade intelligent automation.
Company: UST
Role: Lead I - ML Engineering
Location: Trivandrum
Experience
- 6+ years of industry experience in AI/ML solutions
- Experience leading and delivering multiple large-scale AI projects from idea to production
- Proven track record across diverse domains
- Strong analytical mindset for ambiguous, high-impact problems in fast-paced environments
Qualification
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
- Master's degree preferred
- PhD preferred
Responsibilities
- Lead the design, execution, and delivery of complex AI initiatives from problem framing and architecture to production rollout
- Provide technical leadership in ML, Deep Learning, NLP, Generative AI, and Agentic AI
- Architect AI-powered automation solutions using predictive models, LLMs, and agent-based workflows
- Evaluate emerging AI trends, tools, and research and apply them to real-world use cases
- Build, mentor, and inspire AI teams with technical direction, code/design reviews, and career guidance
- Work with product, engineering, and business stakeholders to identify AI opportunities and define solution roadmaps
- Ensure solution accuracy, robustness, scalability, and observability through MLOps and continuous monitoring
- Contribute to enterprise AI strategy, capability building, and long-term roadmaps
Additional Responsibilities
- Translate cutting-edge research into production-grade systems
- Drive intelligent automation, decision intelligence, and autonomous systems
- Support seamless integration into enterprise systems
Nice To Have
- Generative AI and LLM experience including GPT, BERT, and Transformers
- Experience with multi-agent systems
- Experience with RAG
- Experience with LLM fine-tuning
- Experience with reasoning models
- Excellent leadership, communication, and stakeholder-management skills
More Skills
AI-driven workflows, Predictive models, LLM fine-tuning, Reasoning models, ML frameworks, Modern deep learning architectures, Databricks, Azure, AWS, GCP, Decision support, Intelligent automation, Enterprise AI systems
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