AI Engineer
1 month ago
We are seeking a highly skilled Data Science Professional to join our team. As a key member of our AI adoption team, you will play a crucial role in developing and deploying AI solutions that transform business processes.
Key Responsibilities- Design, develop, and deploy production-grade AI applications that integrate into business workflows, leveraging Generative AI models and RAG frameworks.
- Lead the end-to-end machine learning lifecycle, from data collection and preprocessing to model development, fine-tuning, deployment, and monitoring.
- Collaborate with product and engineering teams to integrate AI/ML solutions into workstreams, enabling automation and boosting productivity in professional services.
- Apply expertise in traditional machine learning techniques to enhance existing solutions and develop new ones.
- Fine-tune large language models and implement RAG techniques to provide real-time, data-driven insights and decision support.
- Work with databases to support data-driven AI models, ensuring efficient storage, access, and preprocessing of large datasets.
- Continuously optimize model performance to ensure scalability, reliability, and efficiency in a cloud-based environment.
- Monitor and maintain production models, using feedback loops and A/B testing to improve performance.
- Stay up-to-date with the latest AI/ML advancements and incorporate them into AI solutions.
- Mentor and provide guidance to junior data scientists, contributing to a collaborative and innovative culture.
- 2+ years of experience in AI/ML, with a focus on traditional machine learning and deploying AI/ML models in production environments.
- Proven experience in developing Generative AI-based applications with actual users.
- Strong foundation in machine learning techniques, including deep learning and traditional ML methods.
- Experience fine-tuning large language models and applying Retrieval-Augmented Generation for business applications.
- Proficient with databases (SQL, NoSQL) and handling large datasets in production environments.
- Expertise in AI/ML frameworks like TensorFlow, PyTorch, Hugging Face, and programming languages like Python.
- Knowledge of MLOps practices for deploying, monitoring, and maintaining machine learning models at scale.
- Familiarity with cloud platforms (AWS, GCP, Azure), and tools like Docker and Kubernetes.
- Strong interpersonal and communication skills, with the ability to work closely with both technical and non-technical teams.
We are a leading AI adoption company, driving innovation and transformation across industries. As a member of our team, you will have the opportunity to work on impactful projects, collaborate with cross-functional teams, and contribute to a culture of innovation and excellence.
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