ML Engineer-AI/ML

Design, develop, and deploy AI/ML models using Python and TensorFlow. Collaborate with cross-functional teams to create innovative solutions and optimize processes using genetic algorithms. Evaluate model performance and stay updated with AI/ML advancements.

• Design, develop, and deploy AI/ML models using Python, TensorFlow, and other relevant technologies.
• Utilize genetic algorithms to optimize solutions for resource allocation, scheduling, and predictive modeling.
• Collaborate with cross-functional teams to understand project requirements and develop innovative AI solutions.
• Conduct research and stay updated on the latest advancements in AI/ML, particularly genetic algorithms.
• Evaluate model performance and implement improvements to enhance efficiency and accuracy.

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• Proven experience as an AI/ML Engineer with strong coding and software development skills.
• Hands-on experience with Python, TensorFlow, and other relevant programming languages and libraries.
• Demonstrated expertise in implementing genetic algorithms for optimization tasks.
• Familiarity with machine learning techniques: supervised, unsupervised, and reinforcement learning.
• Excellent problem-solving skills and ability to think creatively.
• Strong communication skills and ability to collaborate effectively with cross-functional teams.

• Experience with large-scale datasets and distributed computing frameworks.
• Knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud.
• Previous experience in healthcare, finance, or manufacturing industries.
• Experience using GenAI frameworks like OpenAI.