🏢 Company Overview:
Amazon is a world leader in artificial intelligence, cloud computing, and e-commerce innovation. The company is known for its data-driven culture, cutting-edge research, and the development of scalable machine learning systems that impact millions of users globally. Amazon provides a collaborative and intellectually stimulating environment for professionals passionate about building AI-driven solutions.
💼 Job Details:
- Employment type: Full Time
- Experience: 0 to 3 Years
- Salary: ₹15,000 – ₹40,000 monthly
- Location: Work For Home
- Work timing: 9:45 AM to 6:45 PM
- Working Days: 5 Days
- Education: Any Degree
📝 Job Description:
Amazon is seeking an experienced Senior Machine Learning & AI Engineer to design, develop, and deploy end-to-end ML models and AI-driven solutions. The ideal candidate will have a deep understanding of algorithms, data science workflows, and production-level model deployment. You’ll collaborate closely with data scientists, product managers, and engineers to build intelligent systems that enhance customer experiences and business processes.
🔑 Key Responsibilities:
- Design and implement scalable machine learning and AI models for various business applications.
- Develop and deploy end-to-end ML pipelines including data preprocessing, training, testing, and monitoring.
- Work with large-scale datasets to extract insights and build predictive models.
- Collaborate with cross-functional teams to identify opportunities for AI integration.
- Research and apply state-of-the-art ML/AI techniques including deep learning, NLP, and computer vision.
- Optimize models for performance, scalability, and interpretability.
- Mentor junior engineers and contribute to best practices in AI engineering.
🛠️ Required Skills & Qualifications:
- Proven experience in Machine Learning, Deep Learning, and AI model development.
- Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, NumPy, and Pandas.
- Hands-on experience with AWS AI/ML services (SageMaker, Comprehend, Rekognition, etc.).
- Strong foundation in statistics, mathematics, and data analysis.
- Familiarity with MLOps tools for model deployment and monitoring.
- Excellent problem-solving, analytical, and communication skills.
- Bachelor’s or Master’s degree in Computer Science, Data Science, or related technical field (Ph.D. preferred).
🌟 Benefits:
- Work with cutting-edge AI technologies and innovative projects.
- Opportunities for professional development and continuous learning.
- Collaborative and inclusive work environment.
- Flexible work arrangements and supportive leadership.
- Exposure to global-scale AI applications impacting millions of customers.
