Posted:5 hours ago|
Platform:
On-site
Full Time
We are seeking a highly motivated Python Developer with strong coding skills and a passion for building scalable, efficient, and modern solutions. The ideal candidate will have hands-on experience in Python (mandatory), with added expertise or interest in Artificial Intelligence, Machine Learning, and Data Analytics. Exposure to modern technologies such as cloud platforms, containerization, and big data tools will be a plus.
• Design, develop, and maintain robust applications and APIs using Python.
• Work with cross-functional teams (Data Science, Analytics, DevOps) to implement AI/ML models into production.
• Build data pipelines and perform data wrangling, transformation, and analysis.
• Contribute to analytics dashboards and reporting systems for business insights.
• Optimize code for performance, scalability, and reliability.
• Ensure best practices in version control, testing, CI/CD, and documentation.
• Stay updated with emerging technologies (AI, ML, analytics, DevOps).
• Strong programming skills in Python (mandatory).
• Hands-on experience with Python libraries/frameworks such as Pandas, NumPy, Flask/Django, FastAPI.
• Proficiency in data manipulation, scripting, and automation.
• Strong understanding of OOP, design patterns, and software engineering principles.
• Familiarity with databases (SQL/NoSQL)
• Knowledge of AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face).
• Experience in data visualization and analytics tools (Matplotlib, Seaborn, Power BI, Tableau).
• Exposure to cloud platforms and services
• Understanding of containerization & orchestration (Docker, Kubernetes).
• Knowledge of big data tools (Spark, Hadoop) and streaming platforms (Kafka).
• Experience integrating ML/AI models into production systems.
• B Tech. or Masters in Computer Science, IT, Data Science, or related field.
• 5-7 years of experience in Python development (range customizable).
• Strong problem-solving, analytical thinking, and communication skills.
• Experience with cloud platforms (AWS, Azure, GCP).
• Familiarity with containerization tools like Docker.
• Exposure to front-end technologies (React.js, Angular, or Vue.js).
• Knowledge of unit testing and CI/CD pipelines.
KAP Softech
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