
AI Visionary Engineer
1 day ago
We are at the forefront of innovative technology development, pushing the boundaries of AI solutions in various industries. Our team is dedicated to creating cutting-edge AI models that transform businesses and drive growth.
We seek a highly skilled engineer with expertise in Generative AI, Python, and Pyspark to develop and implement state-of-the-art AI models, including LLMs and Deep Learning solutions. The ideal candidate will have a passion for leveraging AI technologies such as Transformers and RAG for intelligent system development. A solid understanding of DevOps, CI/CD, and deployment processes, along with data visualization skills, is essential.
Key Responsibilities- Design, develop, and implement Generative AI use cases focusing on Large Language Models (LLMs).
- Apply Deep Learning techniques to develop models solving real-world problems.
- Leverage Machine Learning algorithms for classification, forecasting, and other AI-driven tasks.
- Utilize Natural Language Processing techniques, including transformers, to develop advanced language models.
- Collaborate with cross-functional teams to gather requirements and deliver AI solutions aligned with business goals.
- Implement end-to-end pipelines with Python and Pyspark, ensuring scalability and performance.
- Work on DevOps and deployment using Docker, CI/CD practices to ensure seamless integration and deployment.
- Use visualization tools like Power BI and Matplotlib to communicate results effectively to stakeholders.
- Strong experience with Python and Pyspark for AI and data engineering tasks.
- Expertise in Generative AI, including LLMs and RAG.
- Proficiency in Deep Learning models (CNN, LSTM, RNN).
- Solid understanding of Machine Learning techniques (Classification, Forecasting).
- Experience with NLP, specifically Transformers and related models.
- Knowledge of API Development and experience working with SQL.
- Hands-on experience with DevOps, Docker, and CI/CD.
- Data visualization skills using Power BI or Matplotlib.
- Familiarity with cloud platforms (AWS, GCP, Azure) for AI deployments.
- Experience working with distributed systems and frameworks.
- Experience with Reinforcement Learning or other advanced AI techniques.
- Bachelor's/Master's degree in Computer Science, Engineering, or a related field.
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