Artificial Intelligence Engineer

Role Overview: As a Sr. Product Engineer specializing in AI/ML with over 2 years of experience, you will play a crucial role in designing, developing, and implementing innovative AI/ML solutions to enhance the performance of our products. Your expertise in AI/ML technologies, coupled with strong problem-solving and communication skills, will be essential for the success of this challenging yet rewarding position. Key Responsibilities: - Collaborate with cross-functional teams to define product requirements and develop AI/ML solutions. - Design and implement machine learning algorithms and models to address complex business challenges. - Conduct data analysis and visualization to identify patterns and trends in large datasets. - Build and maintain scalable data pipelines for efficient data ingestion, processing, and storage. - Research and assess new AI/ML technologies and tools to enhance product performance and efficiency. - Work closely with product managers to prioritize the product roadmap based on market trends and customer needs. - Collaborate with software engineers to integrate AI/ML models into production systems. - Provide technical guidance and mentorship to junior team members. - Stay abreast of the latest advancements and best practices in AI/ML to enhance product offerings. - Ensure compliance with data privacy and security regulations in all AI/ML solutions. Qualifications Required: - Strong understanding of AI/ML concepts and algorithms. - Proficiency in programming languages like Python, Java, or C++. - Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras. - Familiarity with data analysis and visualization tools like Pandas, NumPy, and Matplotlib. - Knowledge of cloud computing platforms like AWS, Azure, or Google Cloud. - Experience with natural language processing (NLP) and computer vision. - Ability to design and implement AI/ML models from scratch. - Strong problem-solving and critical thinking skills. - Excellent communication and collaboration abilities. - Experience with agile development methodologies. - Ability to work independently as well as in a team environment. - Knowledge of the software development lifecycle (SDLC). - Experience with version control systems like Git or SVN. - Understanding of software testing and debugging processes. - Ability to adapt to new technologies and learn quickly. (Note: No additional information about the company was provided in the job description),