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Senior Associate , Decision science
LinkedIn
Bengaluru, IND
Full-time
Senior · 7+ years experience
Hybrid
Discovered 3 weeks ago
PythonSparkSQLHadoopPrestoPig
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Responsibilities
- Lead the end-to-end lifecycle of strategic AI/ML initiatives, from problem definition and solution design to production deployment and business adoption.
- Partner with Product, Engineering, Sales, and business stakeholders to identify high-impact opportunities and translate ambiguous business problems into scalable AI-driven solutions.
- Design, develop, evaluate, and productionize machine learning, deep learning, and Generative AI models, including agentic AI workflows where appropriate.
- Own technical solution architecture, model selection, experimentation strategy, and production deployment while ensuring scalability, reliability, and maintainability.
- Drive AI innovation by identifying opportunities to leverage LLMs, AI agents, recommendation systems, optimization techniques, and predictive modelling to improve business outcomes.
- Collaborate closely with Engineering and Infrastructure teams to build robust ML pipelines, automate model retraining, monitoring, and continuous evaluation.
- Define success metrics, conduct experiments, analyse outcomes, and communicate insights and recommendations to senior leadership.
- Mentor junior engineers through technical guidance, code reviews, and best practices in AI/ML development.
- Influence technical direction across multiple projects while driving engineering excellence and reusable AI platforms.
Basic Qualifications
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative discipline.
- 7+ years of industry experience applying machine learning and statistical techniques to solve complex business problems.
- Programming skills in Python with experience building production-grade ML applications.
- Experience building scalable ML pipelines and integrating models into production systems.
- Experience working with large-scale structured and unstructured datasets using Spark, SQL, or distributed computing frameworks.
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