
Data Science Lead
2 days ago
Machine Learning Engineer Job Responsibilities
">We are looking for a talented Senior Machine Learning Engineer to join our team. In this role, you will be responsible for designing, developing, and deploying machine learning models and algorithms to solve real-world business problems.
">Main Responsibilities:
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- Machine Learning Model Development:">
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- Design and develop machine learning models for various applications, including predictive modeling, recommendation systems, NLP, and computer vision.">
- Utilize advanced machine learning algorithms to create scalable and efficient solutions.">
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- Deploy machine learning models into production using Docker, Kubernetes, and cloud platforms like AWS, Google Cloud, or Azure.">
- Ensure that models meet the scalability, performance, and security requirements.">
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- Work closely with data engineers to ensure seamless data pipeline integration for training and serving machine learning models.">
- Collaborate with product managers and business teams to understand use cases and tailor ML solutions to meet business needs.">
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- Monitor the performance of deployed models and implement continuous monitoring systems to track model drift, accuracy, and performance over time.">
- Implement solutions for model retraining, scaling, and optimization to ensure models remain effective in production environments.">
Requirements & Qualifications:
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- At least 4 years of professional experience in machine learning, data science, or AI engineering.">
- A Master's or Ph.D. in Computer Science, Data Science, Machine Learning, Statistics, or a related field.">
- Strong proficiency in Python, with experience in machine learning libraries such as Scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, etc.">
- Ability to communicate complex machine learning concepts to both technical and non-technical stakeholders.">
Perks & Benefits:
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- Competitive salary based on experience.">
- Health insurance and other company benefits.">
- Opportunities for professional development, certifications, and attending AI/ML conferences.">
- Flexible working hours and a collaborative work environment.">
- The chance to work on impactful, cutting-edge machine learning projects.">
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