
Senior AI/ML Solutions Developer
19 hours ago
The role of AI/ML Engineer is to create, implement and deploy cutting-edge AI and ML solutions that drive business innovation and growth. The successful candidate will work on developing machine learning models, designing scalable production-ready AI solutions and fine-tuning models for optimal performance. Key responsibilities include:
- Developing and optimizing machine learning models including Generative AI, Large Language Models and Deep Learning architectures.
- Designing and implementing scalable production-ready AI solutions that integrate with existing systems.
- Collaborating with cross-functional teams including data scientists, software engineers and product teams to align AI models with business needs.
- Working with large-scale datasets to evaluate and improve model accuracy, efficiency and robustness.
- Bachelor's or Master's degree in a quantitative field such as Computer Science or Data Science.
- Minimum 3+ years' experience in data science/ML role with a track record of delivering impactful solutions in a production environment.
- Proficiency in programming languages like Python, R and SQL with experience in building scalable and efficient ML/NLP workflows.
- Deep understanding and hands-on experience in Machine Learning, Deep Learning and Natural Language Processing.
- Experience working with state-of-the-art Generative AI models, including model finetuning and evaluation techniques.
Key Benefits:
- Opportunity to work on cutting-edge AI and ML projects that drive business innovation and growth.
- Collaborative and dynamic work environment with opportunities for professional growth and development.
- Competitive compensation and benefits package.
Competencies:
- Demonstrated expertise in Precision Products and Services with ability to recommend existing solutions and/or propose new products and services based on client need.
- Ability to drive executive-level conversation regarding business value.
- Passionate and confident communicator with ability to energize stakeholder decision-making.
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