Python AI

1 week ago

Chennai, India Teamware Solutions Full time

Job Description Teamware Solutions is seeking a skilled Developer - Python with AI to design, develop, and implement intelligent solutions. This role is crucial for leveraging Python and AI technologies to build innovative applications, ensuring smooth operations, and significantly contributing to business objectives through expert analysis, development, implementation, and troubleshooting within the Python with AI domain. Roles and Responsibilities: - AI/ML Solution Development: Design, develop, and implement end-to-end AI/Machine Learning solutions using Python, focusing on areas such as predictive modeling, natural language processing (NLP), computer vision, or recommendation systems. - Python Programming: Write clean, efficient, scalable, and well-documented Python code for AI model development, data preprocessing, feature engineering, and integration into larger applications. - Data Handling: Work with various data sources, perform data extraction, transformation, and loading (ETL), and ensure data quality and integrity for AI model training and inference. - Model Training & Evaluation: Develop, train, and evaluate machine learning models. Perform hyperparameter tuning and model selection to achieve optimal performance. - Deployment & MLOps: Assist in deploying AI models into production environments. Contribute to MLOps practices, including model monitoring, versioning, and retraining strategies. - API Development: Build and integrate RESTful APIs to expose AI functionalities for consumption by other applications. - Analysis & Research: Conduct research into new AI/ML techniques and technologies. Analyze existing systems and business problems to identify opportunities for AI integration. - Troubleshooting: Perform in-depth troubleshooting, debugging, and issue resolution for AI models, Python applications, and data pipelines. - Collaboration: Work closely with data scientists, data engineers, software developers, and business stakeholders to translate AI concepts into deployable solutions. Preferred Candidate Profile: - Python Expertise: Strong proficiency in Python programming, including experience with relevant libraries for data manipulation (e.g., Pandas, NumPy) and scientific computing. - AI/ML Fundamentals: Solid understanding of core Artificial Intelligence and Machine Learning concepts, algorithms (e.g., regression, classification, clustering), and model evaluation metrics. - Machine Learning Frameworks: Hands-on experience with at least one major machine learning framework (e.g., Scikit-learn, TensorFlow, Keras, PyTorch). - Data Science Libraries: Familiarity with data visualization libraries (e.g., Matplotlib, Seaborn) for exploratory data analysis. - API & Integration: Experience with developing and consuming RESTful APIs for integrating AI models into applications. - Problem-Solving: Excellent analytical and problem-solving skills with a creative approach to complex AI challenges. - Communication: Strong verbal and written communication skills to articulate technical concepts and AI solutions clearly to both technical and non-technical audiences. - Education: Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.

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    1 week ago

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