AIML Lead

Role Overview: You will lead the design and implementation of advanced machine learning models and AI systems. Additionally, you will manage and mentor a team of AI/ML engineers while setting technical direction. Your role will involve architecting scalable ML infrastructure and establishing best practices for model deployment. Furthermore, you will be responsible for driving research initiatives and proof-of-concept development for new AI applications. Collaboration with product and business teams to define AI strategy and roadmap will also be a key aspect of your role. You will oversee model optimization, testing, and validation processes along with establishing metrics and monitoring systems for ML model performance. Key Responsibilities: - Lead the design and implementation of advanced machine learning models and AI systems - Manage and mentor a team of AI/ML engineers while setting technical direction - Architect scalable ML infrastructure and establish best practices for model deployment - Drive research initiatives and proof-of-concept development for new AI applications - Collaborate with product and business teams to define AI strategy and roadmap - Oversee model optimization, testing, and validation processes - Establish metrics and monitoring systems for ML model performance Qualifications Required: - Bachelor's or Master's degree in Computer Science, Data Science, or related field - Proven experience in designing and implementing machine learning models and AI systems - Strong leadership and mentoring skills - Proficiency in programming languages such as Python, R, or Java - Excellent communication and collaboration abilities - Experience in architecting scalable ML infrastructure and establishing best practices - Knowledge of model optimization, testing, and validation processes (Note: No additional details of the company were provided in the job description) Role Overview: You will lead the design and implementation of advanced machine learning models and AI systems. Additionally, you will manage and mentor a team of AI/ML engineers while setting technical direction. Your role will involve architecting scalable ML infrastructure and establishing best practices for model deployment. Furthermore, you will be responsible for driving research initiatives and proof-of-concept development for new AI applications. Collaboration with product and business teams to define AI strategy and roadmap will also be a key aspect of your role. You will oversee model optimization, testing, and validation processes along with establishing metrics and monitoring systems for ML model performance. Key Responsibilities: - Lead the design and implementation of advanced machine learning models and AI systems - Manage and mentor a team of AI/ML engineers while setting technical direction - Architect scalable ML infrastructure and establish best practices for model deployment - Drive research initiatives and proof-of-concept development for new AI applications - Collaborate with product and business teams to define AI strategy and roadmap - Oversee model optimization, testing, and validation processes - Establish metrics and monitoring systems for ML model performance Qualifications Required: - Bachelor's or Master's degree in Computer Science, Data Science, or related field - Proven experience in designing and implementing machine learning models and AI systems - Strong leadership and mentoring skills - Proficiency in programming languages such as Python, R, or Java - Excellent communication and collaboration abilities - Experience in architecting scalable ML infrastructure and establishing best practices - Knowledge of model optimization, testing, and validation processes (Note: No additional details of the company were provided in the job description)