Department: Software and Smart Solutions Departments

Job Type: Full-Time 

Position Overview:

The Technical Manager is a key leadership role responsible for overseeing the development, implementation, and optimization of software projects. This role involves managing a team of engineers, collaborating with cross-functional teams, and ensuring that projects are delivered on time, within scope, and with high quality. The ideal candidate will have a strong technical background, proven leadership skills, and the ability to manage complex software projects effectively.

Key Responsibilities:

• Design, develop, and implement state-of-the-art machine learning models for various applications.
• Work on natural language processing (NLP) tasks such as text classification, sentiment analysis, and named entity recognition.
• Develop and optimize computer vision models for image and video analysis.
• Implement reinforcement learning algorithms to solve complex problems.
• Utilize MLOps best practices to streamline the deployment and monitoring of machine learning models.
• Perform model quantization to optimize performance on edge devices.
• Collaborate with cross-functional teams to integrate AI solutions into products and services.
• Conduct thorough research to stay updated with the latest trends and advancements in AI and machine learning.
• Develop and maintain RESTful APIs using FastAPI and Django for serving machine learning models.
• Write clean, maintainable, and efficient code using PyTorch, TensorFlow, pandas, and scikit-learn.
• Participate in code reviews, testing, and debugging to ensure high-quality software.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in AI/ML engineering or related roles.
• Proficiency in Python and experience with PyTorch and TensorFlow.
• Strong knowledge of NLP, reinforcement learning, and computer vision techniques.
• Experience with MLOps tools and practices.
• Familiarity with model quantization techniques.
• Hands-on experience with pandas, scikit-learn, and other data processing libraries.
• Good understanding of RESTful APIs and experience with FastAPI and Django.
• Excellent problem-solving skills and the ability to work independently as well as in a team.
• Strong research abilities to keep up with the fast-evolving AI landscape.
• Effective communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.

Preferred Qualifications:

• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Knowledge of containerization and orchestration tools like Docker and Kubernetes.
• Familiarity with CI/CD pipelines and version control systems like Git.
• Contributions to open-source projects in the AI/ML domain.