Welcome to the Internal Recruitment Program

Job Description: Python Developer with Expertise in Automation, Data Science, and AI

We are seeking a highly skilled and experienced Python Developer with at least 4 years of professional experience. The ideal candidate should possess a strong background in Python development, with a specific focus on automation using libraries such as Selenium, Pandas, Openpyxl, and Win32. Additionally, the candidate should have a deep understanding of data science, machine learning, and artificial intelligence, and have hands-on experience in Computer Vision, Natural Language Processing (NLP), and Generative AI.

Responsibilities:

• Develop and maintain automation scripts and tools using Python, with an emphasis on efficiency and reliability.
• Implement and optimize automation workflows using Selenium, Pandas, Openpyxl, and Win32 to streamline repetitive tasks and increase productivity.
• Utilize Python to manipulate and analyze large datasets, performing data cleaning, transformation, and statistical analysis.
• Design and develop high-quality Python web applications using Django and Flask frameworks.
• Design and implement machine learning models for various applications, including predictive analytics, classification, and regression tasks.
• Explore and experiment with cutting-edge AI techniques, including Computer Vision, NLP, and Generative AI, to develop innovative solutions.
• Collaborate with cross-functional teams to integrate AI models and technologies into existing products and systems.
• Participate in the entire software development lifecycle, from concept and design to testing and deployment, ensuring code quality and performance.
• Stay up-to-date with the latest advancements in Python development, automation, data science, and AI technologies, and apply them to enhance our projects.
• Provide mentorship and technical guidance to junior team members, fostering a culture of continuous learning and growth.
• Assist in DevOps tasks, such as deployment, monitoring, and infrastructure management (knowledge of DevOps is a bonus).

Key Technologies:

• Python - Proficient in Python programming and its ecosystem, including latest versions and features.
• Automation - Extensive experience in developing automation scripts and tools using Python, Selenium, Pandas, Openpyxl, and Win32.
• Data Science - Strong background in data manipulation, analysis, and visualization using Python and libraries like Pandas, NumPy, and Matplotlib.
• Machine Learning - Hands-on experience in designing and implementing machine learning models using libraries such as scikit-learn and TensorFlow.
• Artificial Intelligence - Practical knowledge of AI concepts and experience in applying them in real-world projects, including Computer Vision, NLP, and Generative AI.
• Computer Vision - Experience in working with computer vision libraries like OpenCV to develop applications for image and video analysis.
• Natural Language Processing - Proficiency in NLP techniques and libraries such as NLTK, spaCy, or Transformers for text analysis and language modeling.
• Generative AI - Familiarity with Generative Adversarial Networks (GANs) and related algorithms for generating synthetic data and creative content.
• DevOps (Bonus) - Understanding of DevOps practices and tools such as Docker, Kubernetes, and CI/CD pipelines for efficient software deployment and management.
• Version Control - Experience with version control systems like Git to manage code repositories and collaborate effectively in a team.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum of 4 years of hands-on experience in Python development, with a strong focus on automation using key technologies mentioned above.
• Proven experience in data science and machine learning, with practical knowledge of implementing algorithms and models in Python.
• Demonstrated expertise in AI technologies, including Computer Vision, NLP, and Generative AI, with relevant project experience.
• Familiarity with DevOps practices and tools is a bonus.
• Solid understanding of software development best practices, including version control, testing, and code review.
• Strong analytical and problem-solving skills, with a passion for exploring and experimenting with new technologies and approaches.
• Excellent communication skills, both verbal and written, with the ability to convey complex technical concepts to non-technical stakeholders.
• Proven ability to work in a collaborative team environment and lead technical discussions.

A portfolio or links to relevant projects and contributions to open-source repositories would be highly beneficial.

If you are a Python enthusiast with a proven track record in automation, data science, and AI, and you are eager to work on cutting-edge projects, we would love to hear from you. Join our dynamic team of experts and contribute to building innovative solutions that impact the future of technology.