Key Responsibilities:
AI and Machine Learning Development:
Design, develop, and implement AI solutions using Python to solve complex business problems.
Develop machine learning models using scikit-learn, TensorFlow, PyTorch, or other relevant frameworks.
Work with large datasets and implement data preprocessing and feature engineering for AI model training and validation.
Integrate AI models into production environments, ensuring scalability, performance, and reliability.
Python Development and Automation:
Write efficient, reusable, and modular Python code for AI systems, data pipelines, and automation tasks.
Implement APIs, data ingestion, and data transformation pipelines to integrate AI models into business processes.
Optimize Python-based algorithms for high-performance and scalability, ensuring minimal latency in production environments.
Model Training and Evaluation:
Train, test, and validate machine learning models using appropriate algorithms and frameworks.
Perform model evaluation and optimization, including hyperparameter tuning, model validation, and performance testing.
Continuously improve model accuracy and efficiency by iterating on different algorithms and architectures.
Collaboration and Stakeholder Engagement:
Collaborate with cross-functional teams, including data scientists, business analysts, and product managers, to understand business requirements and deliver AI-driven solutions.
Communicate complex technical concepts to non-technical stakeholders, ensuring alignment with business goals and objectives.
Participate in agile development cycles, providing updates, feedback, and troubleshooting support as needed.
Data Analysis and Insights:
Analyze business and operational data to extract insights and identify trends, providing actionable recommendations to improve decision-making processes.
Develop visualization tools and reports to present the results of AI models and analytics to stakeholders.
Leverage AI to automate data-driven tasks and decision-making processes across the organization.
Model Deployment and Maintenance:
Deploy machine learning models into production environments using containerization (e.g., Docker, Kubernetes) and cloud technologies (e.g., AWS, Azure, Google Cloud).
Monitor and maintain deployed models, addressing performance issues and updating models as needed to ensure continuous optimization.
Ensure data security, privacy, and compliance when deploying AI solutions, particularly for sensitive business data.
Continuous Learning and Improvement:
Stay updated with the latest trends, technologies, and research in the fields of AI, machine learning, and Python development.
Attend training, conferences, or webinars to expand knowledge and skills in AI technologies and Python programming.
Contribute to knowledge sharing within the team by providing technical insights, documentation, and best practices.
Required Qualifications:
Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field.
2-4 years of hands-on experience with Python development in an AI/ML context.
Solid understanding of machine learning algorithms and frameworks such as scikit-learn, TensorFlow, Keras, PyTorch, etc.
Experience in data preprocessing, feature engineering, and working with structured and unstructured data.
Familiarity with cloud platforms (e.g., AWS, Google Cloud, Microsoft Azure) and their AI/ML offerings.
Strong knowledge of data structures and algorithms, with experience writing efficient and scalable Python code.
Experience in model deployment, monitoring, and continuous improvement of AI models.
Ability to work with APIs and integrate AI models into production systems.

Developer - Python with AI

Job Description

Required Skills