Machine Learning Engineer
Description For Machine Learning Engineer
DeepSource Technologies is seeking a Machine Learning Engineer to join their team in a hybrid work environment. The role focuses on developing and optimizing ML models and algorithms to enhance their products and services. You'll work with cross-functional teams, handling everything from model development to deployment, while using cutting-edge ML technologies and cloud platforms. The ideal candidate should have strong ML expertise, programming skills, and the ability to work collaboratively. The position offers comprehensive benefits including health insurance and flexible working hours, making it an excellent opportunity for ML professionals looking to make an impact in AI technology development. The role requires 3+ years of experience and offers a collaborative environment where you can grow your expertise in machine learning and AI technologies.
Responsibilities For Machine Learning Engineer
- Design, implement, and maintain machine learning models and systems to solve complex business problems
- Collaborate with cross-functional teams to gather requirements and translate them into machine learning solutions
- Preprocess and analyze large datasets to extract meaningful features and insights for model training
- Evaluate and improve existing algorithms for accuracy, performance, and scalability
- Deploy machine learning models in production environments using cloud-based platforms or on-premise solutions
- Monitor and evaluate model performance, making updates and optimizations as necessary
- Stay current with advancements in machine learning and AI technologies, adopting best practices and methodologies
- Document and communicate findings and methodology to stakeholders
- Work closely with software engineers to integrate ML models into applications and services
Requirements For Machine Learning Engineer
- Bachelor's in Computer Science, Software Engineering or a related field is a must
- 3+ years of experience in machine learning, data analysis, or a similar role
- Strong understanding of machine learning algorithms, frameworks, and libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
- Experience with data preprocessing, feature engineering, and exploratory data analysis
- Familiarity with tools and techniques for model deployment and monitoring
- Proficiency in programming languages such as Python
- Understanding of cloud computing services and infrastructure (AWS, Azure, or Google Cloud)
- Excellent problem-solving skills and ability to work with large datasets
- Strong communication skills and ability to work collaboratively in a team environment
- Experience with version control (e.g., Git) and Agile methodologies is a plus
Benefits For Machine Learning Engineer
- Health Insurance
- Social Insurance
- Flexible working hours
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