AI/ML Engineer

We are seeking a highly skilled Advanced AI/ML Engineer to drive innovation and excellence in our AI and machine learning endeavors. This role is instrumental in developing and deploying cutting-edge AI systems that enhance software and hardware products. You will be at the forefront of prototyping new ideas, collaborating with cross-functional teams, and transforming concepts into production-level solutions.

Key Responsibilities:

• Design and implement comprehensive AI systems and frameworks, ensuring their scalability and robustness.
• Maintain AI systems in production to ensure ongoing accuracy and reliability.
• Develop proofs of concept and prototypes, focusing on algorithm feasibility and model performance.
• Explore and apply state-of-the-art data science techniques for advanced modeling and algorithm development.
• Lead and manage end-to-end projects involving both structured and unstructured data.
• Mentor junior team members, sharing expertise in AI/ML best practices and methodologies.
• Oversee multiple projects, ensuring timely and successful completion.
• Create sophisticated data visualizations and dashboards for effective communication.
• Collaborate with engineers, product managers, and researchers to deliver top-quality products.
• Stay informed about the latest trends and advancements in AI and computer vision.
• Engage with stakeholders to translate business requirements into technical specifications.
• Promote AI adoption among internal and external audiences through education and advocacy.

Required Qualifications:

• Bachelor’s degree in Statistics, Data Science, Computer Engineering, or a related field; a Master’s degree is preferred.
• Equivalent experience and education that demonstrate the capability to fulfill the role's essential functions may be considered.
• At least 5 years of experience in developing and deploying AI/ML solutions, with expertise in NLP, computer vision, or deep learning.
• Proven experience delivering production-ready AI/ML models, including scalable data pipelines and monitoring systems.
• Experience in developing AI systems for customer-facing products.
• Hands-on experience with MLOps, including model deployment, versioning, and monitoring using tools like Azure ML, SageMaker, MLflow, or Airflow.
• Proficiency in Python and SQL, along with frameworks and libraries such as TensorFlow, PyTorch, Keras, Scikit-learn, NumPy, Pandas, OpenCV, and Docker.
• Strong understanding of statistical modeling and machine learning techniques.
• Experience deploying models on cloud platforms such as Azure, AWS, or GCP.
• Excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders.
• Demonstrated leadership and mentoring abilities, with strong business acumen.

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