
Data Scientist Specialist
23 hours ago
Company Overview
Nexer Enterprise Applications is a pioneering company that embodies entrepreneurship and innovation in the field of AI and data science. We leverage advanced analytics, machine learning, and artificial intelligence to drive innovation and deliver impactful solutions for our clients.Job Description
We are seeking a talented Data Scientist to join our team. As a key member of our team, you will work with cutting-edge technologies, including LLMs (Large Language Models), RAG (Retrieval-Augmented Generation), and advanced AI solutions. Your primary responsibility will be to design and develop innovative AI/ML models and solutions leveraging LLMs for various AI use cases, including RAG and intelligent agents. Additionally, you will apply machine learning, statistical methods, and predictive modeling to solve real-world problems, build and deploy data pipelines and cloud-based architectures for ML workloads and MLOps, innovate and collaborate with clients to discover new business opportunities and develop tailored solutions, and work with NLP, computer vision, and containerized applications to deliver high-impact projects. 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, from architecture and data quality to reliability and performance.Key Responsibilities
- Design and develop advanced AI/ML models and solutions leveraging LLMs for various AI use cases, including RAG and intelligent agents.
- Apply machine learning, statistical methods, and predictive modeling to solve real-world problems.
- Build and deploy data pipelines and cloud-based architectures for ML workloads and MLOps.
- Innovate and collaborate with clients to discover new business opportunities and develop tailored solutions.
- Work with NLP, computer vision, and containerized applications to deliver high-impact projects.
- Leverage platforms like Azure Databricks, Azure Data Lake, and Azure ML for scalable and efficient workflows.
- Promote best practices for data science, from architecture and data quality to reliability and performance.
Required Skills and Qualifications
We expect you to have at least 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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