Senior Algorithm/AI Engineer

Summary of Responsibilities The Senior Algorithm/AI Engineer is responsible for designing, developing, and optimizing advanced algorithms and AI models to solve complex business challenges. This role drives technical innovation, provides expert guidance to project teams, and ensures alignment with business objectives and ethical standards.

Lead the end-to-end design, implementation, and optimization of machine learning, deep learning, and traditional algorithms for business-critical applications. Stay abreast of AI/ML advancements; evaluate and integrate emerging techniques to maintain competitive advantage. Mentor junior engineers; provide technical guidance and best practices across teams; participate in code reviews and knowledge sharing. Collaborate with cross-functional teams (data engineering, product, business stakeholders) to translate requirements into scalable AI solutions. Oversee data preparation, feature engineering, and data quality processes to support robust model performance. Establish and execute rigorous testing, validation, and monitoring protocols to ensure model accuracy, fairness, and compliance. Maintain clear, comprehensive technical documentation and ensure adherence to regulatory and ethical standards (e.g., explainability, bias mitigation). Identify opportunities to streamline workflows, automate processes, and enhance system performance

Knowledge (Education/License/Certification, Prior Experience)

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field (PhD preferred) 4+ years of professional experience in algorithm development, machine learning, or AI engineering Proven track record of delivering successful AI/ML solutions in a production environment Experience in the technology, information, or media sectors is highly desirable

Skills and Abilities

Critical thinking and analytical mindset Effective communication of complex technical concepts to non-technical audiences Project management and organizational skills Collaboration and influencing skills across diverse teams Advanced programming (Python, R, Java, or C++), with proficiency in ML/AI libraries (e.g., TensorFlow, PyTorch, scikit-learn) Experience with data pipelines, cloud platforms (AWS, Azure, GCP), and MLOps practices Strong background in statistics, mathematics, and algorithmic problem-solving

Originally posted on Himalayas