Job Description
This job will design, develop, and implement machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.
Must Have:
- Design, develop, and implement machine learning models and algorithms
- Work closely with data scientists, software engineers, and product teams
- Build scalable ML pipelines
- Ensure data quality
- Deploy models into production environments
- Develop and optimize machine learning models for various applications
- Preprocess and analyze large datasets to extract meaningful insights
- Collaborate with cross-functional teams to integrate ML models into products and services
- Monitor and evaluate the performance of deployed models
- Minimum of 5 years of relevant work experience
- Bachelor's degree or equivalent experience
- Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn
- Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment
- Several years of experience in designing, implementing, and deploying machine learning models
Perks:
- Flexible work environment
- Employee shares options
- Health insurance
- Life insurance
Job Summary:
This job will design, develop, and implement machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.
Job Description:
Essential Responsibilities:
- Develop and optimize machine learning models for various applications.
- Preprocess and analyze large datasets to extract meaningful insights.
- Deploy ML solutions into production environments using appropriate tools and frameworks.
- Collaborate with cross-functional teams to integrate ML models into products and services.
- Monitor and evaluate the performance of deployed models.
Minimum Qualifications:
- Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.
- Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
- Several years of experience in designing, implementing, and deploying machine learning models.
Preferred Qualification:
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