Data Engineer (AI/ML) Contract

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.

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.