Analytics Data science and IOT Engineer

Role Overview We are seeking an experienced and proactive senior AI/ML Engineer to join our dynamic team. In this role, you will contribute to the development, deployment, and maintenance of AI/ML models, ensuring robust and scalable solutions. You will work closely with cross-functional teams to analyze data, implement machine learning models, and deliver actionable insights that drive business value. Key Responsibilities Data Preparation and Analysis: Conduct Exploratory Data Analysis (EDA) on tabular datasets to extract meaningful insights. Preprocess and prepare data for ML models, including leveraging NLP techniques for unstructured data. Model Development and Maintenance: Build and deploy machine learning models, ensuring performance and scalability. Debug ML pipelines and processes to resolve issues efficiently. Understand and explain the mechanics and functionality of models to stakeholders. Programming and Infrastructure: Write high-quality, maintainable Python code following best practices. Develop unit tests using PyTest to ensure code reliability. Maintain and optimize infrastructure using Docker for containerization. Collaboration and Communication: Conduct code reviews to maintain quality across the team. Analyze business feedback to refine models and processes. Write and optimize prompts for large language models (LLMs) to support various applications. Qualifications Must-Have Skills: Strong proficiency in Python and familiarity with best programming practices. Hands-on experience with PyTest for writing unit tests. Competence in training and maintaining Machine Learning Models. Understanding of SQL and database operations. Familiarity with large language models (LLMs) and NLP techniques.

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