On-site
Full Time
🚀 We're Hiring: Data Scientist | 8+ Years Experience | On-Site (India) 🔍 Role Title: Data Scientist 📍 Location: India (Onsite) 🕒 Engagement Type: Full-Time Employee (FTE) 📅 Start Date: Immediate Joiners 💼 Experience: 8+ Years 💰 Salary: Flexible / As per market standards 🖥️ Work Type: On-Site (India-based candidates only) About the Role: We are on the lookout for a seasoned Data Scientist to join our dynamic team and contribute to the development of AI-driven data conversion tools . If you're passionate about working on cutting-edge AI/ML technologies and love solving real-world data transformation challenges — we’d love to hear from you! Key Responsibilities: Design and develop AI-powered data conversion applications Apply advanced AI/ML techniques for data mapping and validation Automate code generation using AI models Ensure data quality and integrity through validation techniques Collaborate closely with engineers, developers, and business analysts Maintain clear and comprehensive technical documentation Stay updated with the latest AI/Data Science trends and tools Troubleshoot and optimize AI-based systems Required Skills & Qualifications: Bachelor’s/Master’s in Data Science, Computer Science, AI , or related fields Strong programming skills in Python and SQL Hands-on with ML frameworks like TensorFlow or PyTorch Solid grasp of AI-driven data mapping, code generation, and validation Familiarity with SQL Server, MongoDB , and other databases Excellent problem-solving, collaboration, and communication skills Proven track record with 8+ years in Data Science Open, growth-oriented mindset with the ability to learn from failures Preferred Skills (Nice to Have): Experience in Financial Services domain Certifications in AI/ML or Data Science Background in ETL, data wrangling, or master data management Exposure to DevOps tools (Jira, BitBucket, Confluence) Familiarity with cloud and ML tools such as Azure ML, Databricks, Cognitive Services, Azure Synapse Interview Process: Technical Round 1 Technical Round 2
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