Mid AI

Job Description:
Our client is hiring a highly skilled Mid-Level AI/ML Engineer with expertise in C++ and Python to join a dynamic team. This role involves leveraging advanced machine learning algorithms and large language models to enhance and develop intelligent systems across various applications. The successful candidate will collaborate closely with senior engineers and data scientists to design, implement, and deploy cutting-edge AI/ML solutions. This position would be ideal for someone passionate about technology and innovation and looking to make a significant impact in a fast-paced environment.

Responsibilities:

• Develop and maintain robust AI/ML software solutions using C++ and Python.
• Implement and fine-tune large language models and machine learning algorithms tailored to specific real-world applications.
• Collaborate with cross-functional teams to ensure seamless integration of AI models into production systems.
• Write clean, efficient, and well-documented code adhering to software development best practices.
• Engage in debugging, profiling, and optimizing AI-related software to enhance performance and scalability.
• Handle data preprocessing, model training, and inference pipelines to streamline AI functionalities.
• Stay updated with the latest trends and advancements in AI, machine learning, and software development technologies.
• Participate in the testing and validation of machine learning models to ensure their effectiveness in real-world settings.

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
• Proven experience in programming with C++ and Python in a professional environment.
• Strong foundation in data structures, algorithms, and object-oriented programming.
• Experience with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Proficiency in working within Linux environments and using command-line tools.
• Capability to work effectively both as part of a team and independently.
• Excellent problem-solving skills and a strong passion for artificial intelligence and technology.
• Familiarity with deep learning, reinforcement learning, or generative AI is advantageous.
• Exposure to cloud platforms like AWS, GCP, or Azure for deploying machine learning workloads is beneficial.