Job Title: Machine Learning Professional
Description: This role involves working on cutting-edge machine learning technologies to contribute to transformative business solutions in a dynamic and collaborative environment.
- Design, develop, and optimize machine learning models and algorithms to address complex business challenges effectively.
- Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models efficiently.
- Train and fine-tune machine learning models using appropriate algorithms, techniques, and tools.
- Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
- Work closely with software engineers and DevOps teams to deploy models in production environments for real-time decision-making.
- Implement APIs and integrate models into existing systems to enable data-driven insights.
- Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues proactively.
- Continuously refine models and algorithms based on user feedback and performance metrics.
- Perform exploratory data analysis to uncover trends and insights that inform business decisions.
- Use statistical methods and visualization techniques to communicate findings to stakeholders effectively.
- Stay updated on advancements in machine learning and artificial intelligence to drive innovation.
- Evaluate and recommend new tools, libraries, and methodologies to enhance workflows and improve efficiency.
Required Skills & Qualifications:
- Min.
Bachelor's Degree in Computer Science, Data Science, Machine Learning, or a related field.
- At least 4 years of hands-on experience in designing, developing, and deploying machine learning models for real-world applications.
- Familiarity with Large Language Models and Generative AI technologies is beneficial.
- Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Strong understanding of statistical analysis, probability theory, and hypothesis testing.
- Experience with cloud-based machine learning tools and distributed computing frameworks is advantageous.
- Excellent communication skills to articulate technical concepts to diverse stakeholders.