Key Responsibilities:
- Design and develop machine learning systems and algorithms
- Analyze large datasets to extract valuable insights and patterns
- Implement appropriate ML algorithms and tools to solve specific business problems
- Conduct experiments and optimize machine learning models for performance and accuracy
- Collaborate with data scientists, software engineers, and product managers to integrate ML solutions into our products
- Stay up-to-date with the latest advancements in machine learning and AI technologies
- Develop and maintain ML pipelines for data preprocessing, model training, and deployment
- Evaluate and improve existing ML systems
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field
- 3+ years of experience in machine learning or related field
- Strong programming skills in Python, with experience in ML libraries such as TensorFlow, PyTorch, or scikit-learn
- Solid understanding of machine learning algorithms, statistical modeling, and deep learning techniques
- Experience with data preprocessing, feature engineering, and model evaluation
- Proficiency in working with large datasets and distributed computing frameworks (e.g., Spark)
- Excellent problem-solving and analytical skills
- PhD in Machine Learning, Computer Science, or related field
- Experience with cloud platforms (AWS, GCP, or Azure) for ML model deployment
- Familiarity with version control systems (e.g., Git) and CI/CD pipelines
- Knowledge of software engineering best practices and design patterns
- Experience with natural language processing (NLP) or computer vision projects
What We Offer:
- Competitive salary and benefits package
- Opportunity to work on cutting-edge AI projects
- Continuous learning and development opportu
Generating Apply Link...