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Python Developer - ML Expertise Job in @ Kpr sugar apperals

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 Python Developer - ML Expertise Job in

Job Description

    Responsibilities: Design, develop, and maintain efficient, reusable, and reliable Python code to support machine learning applications. Collaborate with data scientists and cross-functional teams to define, design, and implement machine learning models and algorithms. Integrate machine learning models into production systems and applications. Optimize model performance and scalability by implementing best practices in model tuning and deployment. Build APIs and integrate with third-party ML services and data sources. Debug and resolve complex software defects, issues, and risks related to Python development and machine learning. Participate in code reviews to ensure adherence to best coding practices and maintain high-quality standards. Continuously research new machine learning techniques and tools to stay ahead in the field and improve development practices. Contribute to the overall architecture and design of ML-driven systems. Required Skills: Bachelor's degree in Computer Science, Software Engineering, or a related field. 4+ years of professional experience as a Python Developer with a strong focus on machine learning. Experience with machine learning libraries and frameworks like TensorFlow, PyTorch, or Scikit-learn. Proficiency in Python frameworks such as Django, Flask, or FastAPI. Strong understanding of data structures, algorithms, and software design principles. Experience with version control systems (e.g., Git) and CI/CD pipelines. Solid understanding of databases, including relational (MySQL, PostgreSQL) and NoSQL (MongoDB). Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and deployment of machine learning models. Strong debugging and performance tuning skills. Excellent verbal and written communication skills, with an emphasis on teamwork and collaboration. Ability to thrive in a fast-paced, dynamic environment with attention to detail. Preferred Qualifications: Experience with machine learning libraries and frameworks like TensorFlow, PyTorch, or Scikit-learn. Familiarity with testing frameworks such as PyTest or UnitTest. Certifications in Python programming, machine learning, or related technologies. Knowledge of containerization technologies like Docker and orchestration tools such as Kubernetes. Understanding of DevOps practices and tools.,

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Python Developer - ML Expertise Job in

Contact Details:

Company: QTIMinds
Location(s): Hyderabad

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Keyskills:   Python Machine Learning Django Flask Git MySQL PostgreSQL MongoDB AWS Azure Debugging Performance Tuning Teamwork Collaboration TensorFlow PyTorch Verbal Written Communication

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