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Strong brand, remote flexibility, and popular ML/Data title create high applicant competition.
Specialized LLM and deep learning expertise reduces cross-industry transferability, indicating high sensitivity.
Extensive mandatory ML/LLM, deep learning, deployment and full-stack requirements indicate high shortlisting strictness.
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Manage and deliver AI and Big Data projects within agreed timelines, budget, and quality standards including risk management and stakeholder communication.
Participate fully in the lifecycle of Large Language Model (LLM) development: from data preparation, model training, evaluation, deployment to monitoring in production environments.
Design, implement, and maintain scalable LLM architectures, data pipelines, front-end AI applications, and back-end systems using modern ML frameworks and web technologies.
Experience Required: Extensive hands-on experience designing and delivering AI or Big Data solutions and applied research in machine learning on large-scale datasets.
Technical Skills: Proficiency with deep learning frameworks (TensorFlow, PyTorch), machine learning algorithms, statistical analysis, and programming languages like Python, Java, or Node.js.
Data Experience: Ability to analyze and work with unstructured, structured, and semi-structured data including telemetry and log files.
Location Requirements: Must be able to work in Gurgaon, Haryana, India (explicit location).
Experienced in full LLM development lifecycle with applied research and engineering skills to build production-ready AI models and infrastructure.
Skilled in collaborating across technical and non-technical teams and managing project delivery including risk and stakeholder communication.
Comfortable working in a multi-national, hybrid environment with a focus on scalable AI applications and continuous learning of the latest LLM advancements.