Posted:3 hours ago|
Platform:
On-site
Full Time
Key Responsibilities 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). Must-Have Skills 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) Good-to-Have Skills 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.
KAP SOFTECH
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