Data Scientist(AIML)

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<br><p><strong>WALK-IN Interview On 13-June -2026 _Data Scientist_Delhi</strong></p><p><br></p><p><strong>Role - Data Scientist</strong></p><p><strong>Experience - 4 to 15 years</strong></p><p><strong>Location: TCS Yamuna 0ffice, Plot No. 20 & 21, Tower 6, 1st floor, Building B2Seaview Developers SEZ / Unitech Infospace Noida-Greater Noida Expressway, Sector 135, Noida</strong></p><p><br></p><p><strong>Job description</strong></p><p>· Advanced degree in mathematics, statistics, computer science, or related field.</p><p>· Strong knowledge of statistical analysis, machine learning, and deep learning.</p><p>· Developing advanced algorithms and models to extract valuable insights from complex datasets, with a focus on generative AI and large language models (LLMs).</p><p>· Conducting thorough exploratory data analysis (EDA) to uncover patterns, anomalies, and correlations in the data for NLP/Time series/Vision capability streams.</p><p>· Fine-tuning pre-trained models to optimize their performance for specific tasks and domains.</p><p>· Strong working knowledge of agent-based and Agentic AI systems leveraging LLMs for reasoning, planning, and task execution.</p><p>· Collaborating with cross-functional teams to define project objectives and deliverables and integrating AI models into production environments.</p><p>· Applying statistical techniques, machine learning algorithms, and deep learning architectures to solve complex business problems and generate accurate predictions.</p><p>· Utilizing cloud-based AI services (e.g., AWS, Azure, GCP) to build scalable and efficient AI solutions.</p><p>· Implementing MLOps practices for model deployment, monitoring, and management.</p><p>· Proficiency in Python or R, along with relevant libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch).</p><p>· Staying updated with the latest advancements in data science, generative AI, and cloud AI services.</p><p>· Experience in developing and deploying AI/Gen AI based systems in production.</p><p>Mentoring junior data scientists and providing technical guidance.</p>

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