We are seeking a highly skilled and experienced Senior AI/ML Engineer to join our innovative team. The ideal candidate will have a strong background in artificial intelligence and machine learning, with expertise in developing and deploying AI/ML models. As a Senior AI/ML Engineer, you will play a key role in designing, developing, and maintaining AI/ML solutions, as well as mentoring junior engineers. You should be passionate about data, writing clean, maintainable code, and have a deep understanding of modern AI/ML practices. Key Responsibilities:

• Design, develop, and maintain robust, scalable, and high-performance AI/ML models.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Write reusable, testable, and efficient code.
• Integrate AI/ML models with existing systems and applications.
• Optimize models for maximum speed and scalability.
• Implement security and data protection measures.
• Troubleshoot and debug models to resolve issues.
• Mentor and guide junior engineers, providing technical leadership and code reviews.
• Stay up-to-date with emerging technologies and industry trends to ensure our solutions remain cutting-edge.
• Participate in Agile/Scrum processes, including sprint planning, stand-ups, and retrospectives.

Required Skills and Technologies:

• Proficiency in AI/ML Frameworks: Extensive experience with AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Programming Languages: Strong understanding of programming languages such as Python, R, and Java.
• Data Analysis: Expertise in data analysis and data visualization using libraries like Pandas, NumPy, and Matplotlib.
• APIs and Web Services: Experience with RESTful APIs and integrating web services.
• Database Management: Experience with relational databases (e.g., SQL Server, MySQL) and NoSQL databases (e.g., MongoDB).
• Version Control: Strong experience with Git and collaborative development workflows (e.g., GitFlow).
• Testing: Proficient in writing unit tests, integration tests, and using testing frameworks (e.g., PyTest).
• Security Best Practices: Understanding of secure coding practices and common vulnerabilities (e.g., OWASP Top 10).

Preferred Skills:

• Experience with front-end frameworks (e.g., React, Angular, Vue.js) for full-stack development.
• Familiarity with message brokers (e.g., RabbitMQ, Kafka) and event-driven architectures.
• Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
• Experience with serverless computing (e.g., AWS Lambda, Google Cloud Functions).
• Understanding of GraphQL and its implementation in AI/ML applications.

Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• Experience: 5+ years of professional experience in AI/ML development, with at least 2 years in a senior or lead role.
• Certifications (Optional): Relevant certifications such as:
  • AWS Certified Machine Learning - Specialty
  • Microsoft Certified: Azure AI Engineer Associate
  • Google Professional Machine Learning Engineer
  • TensorFlow Developer Certificate

Soft Skills:

• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to work independently and as part of a team.
• Leadership skills with a focus on mentoring and guiding junior engineers.
• Adaptability to changing project requirements and technologies.