Role Overview
The AI/ML Specialist will play a pivotal role in designing and implementing advanced AI solutions that address complex business challenges. Collaborating with cross-functional teams, this role will leverage expertise in machine learning, deep learning, and emerging AI technologies to enhance product offerings, optimize operations, and drive innovation across customer experiences.
Key Responsibilities
- Apply AI/ML expertise to build scalable solutions in areas such as Generative AI, personalization, image and speech recognition, NLP, recommendation systems, and time series forecasting.
- Lead the full solution lifecycle: problem identification, data collection, analysis, modeling, validation, and deployment of production-grade systems.
- Research and experiment with emerging academic ideas to solve new business problems and improve existing solutions.
- Define and implement deployment strategies for AI solutions in cloud infrastructure at scale.
- Drive technical design reviews, ensuring high-quality, maintainable code and integration with CI/CD pipelines.
- Provide mentorship to junior team members and foster technical excellence across the team.
- Actively contribute to business and technical forums, influencing strategy and innovation.
Job Qualifications
- Advanced degree in Computer Science, Engineering, Statistics, Mathematics, or related quantitative discipline
- Proven track record of impactful research, with publications or patents a plus.
- Extensive experience building and deploying sophisticated AI/ML solutions at scale.
- Expertise in one or more fields: Generative AI, Deep Learning, NLP, Reinforcement Learning, Recommendation Systems, Bayesian Inference, or advanced time series forecasting.
- Hands-on experience with open-source tools and frameworks, including Airflow, Kubeflow, Docker, Kubernetes, MLflow, TensorFlow, PyTorch, Scikit-learn, and feature stores.
- Good programming skills in Python, Java, Scala, or Julia, with proficiency in modern IDEs and ML libraries.
- Solid understanding of agile methodologies, with experience leading projects in dynamic environments.
- Excellent communication and leadership skills, with the ability to collaborate across technical and non-technical teams.
- Experience with cloud platforms (GCP, AWS) is a plus.
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