Senior Associate , Decision science

LinkedIn; Karnataka; On-site; INR 4,000,000 - 5,500,000; Full time

Job summary

LinkedIn is seeking a Senior Associate Decision Science to lead AI/ML initiatives that turn data into actionable insights and drive operational excellence. You will partner with Product, Engineering, and Sales to identify opportunities and deploy scalable AI-driven solutions.

The role requires a strong background in ML, Generative AI, and productionizing models, with ability to influence stakeholders and mentor engineers in a fast-paced environment.

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.
• Communication skills: ability to influence technical and non-technical stakeholders.

Responsibilities

• Lead end-to-end lifecycle of strategic AI/ML initiatives, from problem definition to production deployment and adoption.
• Partner with Product, Engineering, Sales, and stakeholders to identify high-impact opportunities and translate problems into scalable AI-driven solutions.
• Design, develop, evaluate, and productionize ML, 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.
• Drive AI innovation by identifying opportunities to leverage LLMs, AI agents, recommendations, and predictive modelling.
• Collaborate with Engineering and Infrastructure teams to build robust ML pipelines and monitor models.
• Define success metrics, conduct experiments, analyze outcomes, and communicate insights 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 reusable AI platforms.

Skills

Machine Learning

Generative AI

Python

ML Pipelines

Stakeholder Management

Communication

LangGraph/LangChain

Education

Master's or PhD in CS/AI

Tools

Python

Spark

SQL

Hadoop

Azure

Job description

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed.

Join us to transform the way the world works.

At LinkedIn, our approach to flexible work is centered on trust, care, inclusion, and fun - where everyone can succeed.

TheAI team withinTech COEorganizationis responsible forbuilding the ultimate go-to-market engine to connect our solutions with customer needs at scale. As a Senior Associate Decision Science, you will be partnering withstakeholdersto crack the most importantchallengesto drive operational excellenceandultimatelyincreasecustomer value.

This role focuses on building and deploying AI and GenAI solutions that turn complex data into actionable business insights, improve forecasting, and drive operational efficiency. It involves solving advanced analytical problems, creating intelligent systems for sales teams, and partnering cross-functionally to scale data-driven processes and innovation.

Theideal candidateshould have a strategic mindset andstrongcommunications skillstocollaborate with cross-functional stakeholdersanddrive critical business decisions. The candidate should also be able to handlehighly sensitive, confidential, and non-routine information, have high attention to detail, be open-minded to challenge the status quo and work in a rapidly changing organizationin close collaboration withbusiness partners.

Responsibilities

• Lead theend-to-endlifecycle of strategic AI/MLinitiatives, fromproblem definition and solution design to production deployment and business adoption.
• Partner with Product, Engineering, Sales, and business stakeholders toidentifyhigh-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 whereappropriate.
• Own technical solution architecture, model selection, experimentation strategy, and production deployment while ensuring scalability, reliability, and maintainability.
• Drive AI innovation byidentifyingopportunities to leverage LLMs, AI agents, recommendation systems, optimization techniques, and predictivemodellingto 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,analyseoutcomes, 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+ yearsof industry experience applying machine learning and statistical techniques to solve complex business problems.
• Programming skills inPythonwith 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.
• Communication skills: ability to influence technical and non-technical stakeholders.

Preferred Qualifications

• Experience building production-gradeGenerative AIapplications using LLMs, Retrieval-Augmented Generation (RAG), AIagentsand orchestration frameworks.
• Experience in deploying machine learning models in Azure cloud.
• Experience with distributed data systems such as Hadoop and related technologies (Spark, Presto, Pig, Hive, etc.)
• Background in anyoneofprogramming language (C#, Java, PHP, JavaScript)
• Experience designing multi-agent systems and autonomous AI workflows.
• Hands-on experience with modern AI frameworks such asLangGraph,LangChain, Semantic Kernel,AutoGen,CrewAI, or equivalent.
• Deep understanding of technical and functional designs for relational and MPP Databases.
• Familiarity with CI/CD,MLOps, model monitoring, observability, and production AI governance.
• Experience mentoring scientists and leading cross-functional technical initiatives.
• Publications, patents, or contributions to open-source AI projects are a plus.

Suggested Skills

• Machine Learning & Deep Learning
• AI Model Deployment
• Distributed Data Systems
• Mentoring
• Stakeholder Management

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LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf

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