
Data Scientist Machine Learning
1 week ago
We are seeking an experienced AI Engineer to contribute to the design, development, and deployment of advanced AI models and systems that power intelligent products.
This is a great opportunity to work on high-impact AI initiatives at the forefront of technology.
Innovative Work:- Drive impactful AI and machine learning projects using state-of-the-art technologies, including Generative AI and Retrieval-Augmented Generation (RAG) systems.
- Play a key role in developing next-generation AI-powered solutions.
- Advance your career by contributing to AI strategy, collaborating with diverse teams, and tackling challenging problems that push the boundaries of machine learning in a fast-paced environment.
- Work alongside talented AI engineers, researchers, and product leaders in a dynamic setting that values innovation, expertise, and continuous learning.
- Develop, train, and deploy large language models (LLMs) and machine learning solutions with real-world applications.
- Build and maintain end-to-end AI pipelines, from data processing to production model serving.
- Support and implement Retrieval-Augmented Generation (RAG) and multi-model orchestration features.
- Collaborate closely with engineering, product, and data science teams to deliver scalable AI-powered features.
- Evaluate emerging AI technologies and frameworks to continuously improve our AI capabilities.
- 4+ years experience in AI/ML, with solid knowledge of LLMs, generative AI, and applied machine learning.
- Hands-on experience building and deploying AI models in production.
- Familiarity with RAG architectures, vector databases, and hybrid model workflows.
- Strong programming skills in Python and experience with ML libraries (PyTorch, TensorFlow, Hugging Face, LangChain).
- Understanding of cloud platforms and MLOps tools for scalable AI deployment (AWS, GCP, or Azure).
- Effective communication and collaboration skills, with a passion for innovation and problem-solving.
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