Data Scientist

Job Description

We are seeking a highly skilled Senior AI/ML Engineer to lead the design, development, deployment, and optimization of advanced machine learning and artificial intelligence solutions. This role is ideal for a hands‑on technical professional who thrives at the intersection of machine learning, software engineering, cloud infrastructure, and MLOps. As a key member of the team, you will own the full AI development lifecycle, from problem definition and data ingestion through model development, evaluation, deployment, monitoring, and continuous improvement.

You will work closely with engineering, analytics, product, and leadership teams to build scalable AI systems that drive innovation and business outcomes.

• Design, build, train, evaluate, and deploy machine learning and AI solutions for complex business challenges.
• Translate ambiguous requirements into scalable AI‑driven systems and technical architectures.
• Develop predictive models, classification systems, recommendation engines, personalization frameworks, and generative AI applications.
• Fine‑tune, evaluate, and optimize Large Language Models (LLMs) and other advanced AI architectures as appropriate.

• Build robust, scalable machine learning pipelines from data ingestion through production deployment.
• Implement CI/CD processes, automated testing, model validation, monitoring, and retraining workflows.
• Develop production‑ready APIs and services that integrate AI capabilities into enterprise applications.
• Maintain model lifecycle management, performance monitoring, and continuous optimization processes.
• Ensure systems meet security, scalability, reliability, and performance standards.

• Document architectures, models, deployment procedures, and engineering standards to support maintainability and knowledge sharing.
• Collaborate with cross‑functional stakeholders to communicate technical solutions and recommendations.
• Stay current with emerging AI technologies, frameworks, and industry best practices.
• Contribute to AI strategy, platform selection, and architectural decision‑making.

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, Engineering, or a related technical discipline.
• 5+ years of professional experience in machine learning, AI engineering, software engineering, or data science with production deployments.
• 3+ years of experience building and deploying machine learning solutions in commercial environments.
• Advanced Python programming skills with experience developing, training, testing, and deploying machine learning models.
• Strong SQL expertise for data extraction, transformation, and analysis.
• Experience building end‑to‑end ML systems from data ingestion through production serving.
• Strong understanding of supervised, unsupervised, and deep learning methodologies.
• Experience deploying solutions within cloud environments such as AWS, Azure, or Google Cloud Platform.
• Familiarity with modern data platforms including Snowflake, Big Query, Redshift, SQL Server, or equivalent technologies.
• Demonstrated experience owning AI solutions in production environments including monitoring, optimization, and operational support.
• Strong problem‑solving, systems‑thinking, and analytical skills.
• Excellent communication skills with the ability to explain technical concepts to both technical and non‑technical audiences.
• Ability to manage multiple priorities in a fast‑paced environment.
• Must be available to start onsite and travel occasionally as required.

• Master's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Statistics,…