ML OPS

Job Description
 

• 6-8 years of experience in machine learning and computer vision, with a proven track record in image processing and analysis.
• Development and optimization of Computer Vision algorithms and ML models.
• Continuously refine ML models to improve accuracy
• Collaborate with cross-functional teams to integrate AI/ML features into the application. 
   

Skill Requirements :
 

• Proven hands-on experience in Python programming.
• Proficient in programming languages relevant to AI/ML development ( TensorFlow, PyTorch).
• Strong proficiency in machine learning concepts and practical application.
• Familiarity with data analytics packages including pandas, NumPy, and scikit-learn.
• Intermediate knowledge in statistics for data analysis and interpretation.
• Ability to create insightful and visually appealing graphs using tools like Matplotlib or Seaborn.
• Collaborative mindset with excellent communication skills to work effectively in a team. 
   

Responsibilities :
 

• Develop and maintain Python-based applications, leveraging expertise in Python programming.
• Implement and optimize machine learning models for data analysis and insights generation.
• Utilize data analytics packages such as pandas, NumPy, and scikit-learn for efficient data manipulation and processing.
• Work collaboratively with cross-functional teams to understand business requirements and translate them into technical solutions.
• Apply intermediate knowledge in statistics to analyze and interpret complex datasets.
• Create visually appealing graphs and visualizations to communicate findings effectively.