Artificial Intelligence Engineer/Data Scientist

Key Responsibilities

• Design, develop, and implement machine learning models and AI algorithms to solve real-world business problems
• Perform exploratory data analysis (EDA) and build data pipelines for model training and deployment
• Work with stakeholders to understand business challenges and translate them into data science solutions
• Build and optimize predictive models using regression, classification, clustering, NLP, or deep learning techniques
• Deploy models into production environments using ML Ops frameworks and monitor their performance

• Collaborate with data engineers, software developers, and business teams to ensure end-to-end solution delivery
• Stay up to date with the latest trends and best practices in data science, AI, and cloud technologies

Required Skills and Qualifications

• Bachelors or Master s degree in Computer Science, Statistics, Mathematics, or a related field
• 10 15 years of experience in data science, machine learning, or AI
• Proficiency in Python and ML libraries such as scikit-learn, pandas, NumPy, TensorFlow, Keras, or PyTorch
• Experience with SQL and working knowledge of

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  data manipulation and wrangling
• Solid understanding of statistical modeling, hypothesis testing, and performance metrics
• Familiarity with NLP, time-series forecasting, or computer vision is a plus
• Experience in deploying models using Flask/FastAPI, Docker, or MLflow
• Exposure to cloud platforms (AWS, Azure, or GCP) and ML Ops tools