
AI and ML Innovator
22 hours ago
Company Overview
Nexer Enterprise Applications is a leading company in the field of AI and data science. We strive to push boundaries and use advanced data science to create meaningful solutions for our clients. Our company culture values teamwork, professional growth, and a vibrant community spirit.Job Description
We are looking for a skilled Data Scientist to join our team. In this role, you will work on designing and developing AI/ML models and solutions, applying machine learning and statistical methods to solve real-world problems, building and deploying data pipelines and cloud-based architectures, innovating and collaborating with clients, and working with NLP, computer vision, and containerized applications. You will also leverage platforms like Azure Databricks, Azure Data Lake, and Azure ML for scalable and efficient workflows, and promote best practices for data science. As a key member of our team, you will have the opportunity to work on exciting projects, collaborate with experts in the field, and make a meaningful impact in the intersection of data science and AI.Key Responsibilities
- Design and develop AI/ML models and solutions.
- Apply machine learning and statistical methods to solve real-world problems.
- Build and deploy data pipelines and cloud-based architectures.
- Innovate and collaborate with clients.
- Work with NLP, computer vision, and containerized applications.
- Leverage platforms like Azure Databricks, Azure Data Lake, and Azure ML.
- Promote best practices for data science.
Requirements
We require a minimum of 4 years of experience in data science, a strong understanding of LLMs, and experience building solutions on top of them for AI-driven solutions. You should also have experience with RAG and AI-driven agents, an analytical mindset, strong business acumen, problem-solving aptitude, proactive mindset, hands-on experience with applied ML, statistics, and cloud architectures for MLOps, proficiency in Python, PySpark, familiarity with tools like Databricks, knowledge of computer vision, NLP, SQL, and containerized apps, experience with Azure cloud services such as Azure ML and Azure Data Lake, and fluency in English.-
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