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Senior Python Developer

TechCorp

San Francisco, CA

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Data Scientist

DataCo

New York, NY

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Frontend Developer

WebSolutions

Remote

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DevOps Engineer

CloudTech

Seattle, WA

Open Jobs

Tata Consultancy Services logo

Data Scientist(AIML)

Tata Consultancy Services - New Delhi, Delhi, India

The Nielsen Company logo

Senior Data Scientist (AI & ML)

The Nielsen Company - Bengaluru, Karnataka, India

Luxoft logo

Senior Quant Software Developer

Luxoft - London, United Kingdom

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Apprentice: Level 4 Software Engineer, RFQ-HUB | London, UK

MarketAxess - London, United Kingdom

Jack & Jill logo

Staff Backend Engineer (£140k-£160k+ + Equity) at a16z-backed Series B marketplace

Jack & Jill - London, United Kingdom

Pearson logo

Principal Software Engineer, AI Innovation

Pearson - London, United Kingdom

Luxoft logo

AI Platform Infrastructure Engineer

Luxoft - London, United Kingdom

Tata Consultancy Services logo

Tata Consultancy Services - New Delhi, Delhi, India

Data Scientist(AIML)

Job Type: Not specified

Experience: Not specified

About Job

WALK-IN Interview On 13-June -2026 _Data Scientist_Delhi Role - Data Scientist Experience - 4 to 15 years 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 Job description · Advanced degree in mathematics, statistics, computer science, or related field. · Strong knowledge of statistical analysis, machine learning, and deep learning. · Developing advanced algorithms and models to extract valuable insights from complex datasets, with a focus on generative AI and large language models (LLMs). · Conducting thorough exploratory data analysis (EDA) to uncover patterns, anomalies, and correlations in the data for NLP/Time series/Vision capability streams. · Fine-tuning pre-trained models to optimize their performance for specific tasks and domains. · Strong working knowledge of agent-based and Agentic AI systems leveraging LLMs for reasoning, planning, and task execution. · Collaborating with cross-functional teams to define project objectives and deliverables and integrating AI models into production environments. · Applying statistical techniques, machine learning algorithms, and deep learning architectures to solve complex business problems and generate accurate predictions. · Utilizing cloud-based AI services (e.g., AWS, Azure, GCP) to build scalable and efficient AI solutions. · Implementing MLOps practices for model deployment, monitoring, and management. · Proficiency in Python or R, along with relevant libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch). · Staying updated with the latest advancements in data science, generative AI, and cloud AI services. · Experience in developing and deploying AI/Gen AI based systems in production. Mentoring junior data scientists and providing technical guidance. job perk: Posted At: 12 hours ago, job perk: Schedule Type: Full-time

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