Engineering Software Development AI/ML AI/Artificial Intelligence Large Language Models (LLM)
- Identify Opportunities: Proactively seek out and identify potential applications for Generative AI within the organization. - Evaluate Technologies: Assess and evaluate existing and emerging Generative AI technologies for suitability in meeting business objectives. - Conceptualize Solutions: Develop innovative concepts for AI applications that align with organizational goals. - Build and Rollout AI Applications: Lead the development and implementation of AI applications, employing both in-house development and external procurement strategies. - Collaborate Across Teams: Work closely with various departments to ensure seamless integration and effective deployment of AI solutions. - Leadership and Teamwork: Exhibit strong leadership qualities and work collaboratively with the team to achieve project goals. - Solution Selling: Effectively communicate and advocate for the adoption of AI solutions within the organization. - Continuous Learning: Stay abreast of the latest developments in Generative AI and related fields.
- Minimum of 5 years’ experience in machine learning and data science technologies - Strong Understanding of the AI Ecosystem: Comprehensive knowledge of components critical to Agentic AI, including Large Language Models (LLMs), Prompt Engineering Techniques - Hands on experience in Machine Learning Operations (MLOps) covering entire lifecycle of a ML model. - Proven hands-on Project Management experience - Knowledge of Retrieval-Augmented Generation (RAG): Strong understanding with RAG for enhancing the quality of AI applications. - Programming Skills: Excellent programming abilities in relevant languages (python) and frameworks (Llama Index, Lang Chain). - Hands on experience in AWS ML Services like SageMaker, Kendra, OpenSearch - Leadership Skills: Demonstrated leadership capabilities with the ability to inspire and guide teams. - Communication Proficiency: Excellent verbal and written communication skills in English. - Team Player: Proven ability to work effectively in a team environment. - Professional Experience: Solid background in developing and implementing AI solutions in a corporate setting.
ST Engineering is one of Asia's largest defense and engineering groups. It has also diversified over the years, and now supplies both military customers and commercial ones in over 100 countries, which cover its four core businesses -- aerospace, land systems, electronics and marine. - Meal allowance & transportation allowance - Laptop - 100% salary from probation - Training from probation - Free learning of all courses on LinkedIn e-learning - Private insurance for employees from probation - SHUI is paid on total Gross Base salary - Annual performance review - Annual salary review - Lots of periodic company gatherings and events.