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We are hiring AI Engineers in large scale. Share your CVs to swarna.bandekar@ or Whatsapp your CV to 9705712873Role 1: AI EngineerExp: 4-6 YearsJob Location: Hyderabad/Bangalore/Chennai/Pune/Mumbai/NoidaShift:2-PM-11PMBudget: Max 21.5 LOpenings: 4Working knowledge of Azure AIWorking knowledge of LLM , RAG- Data insights , Reasoning Agent , Chain of thoughtKnowledge of Graph DB , COSMOS DB , Neo4jPrompt engineering API buildingDomain knowledge in Finance , data managementShould have worked on enterprise AI use cases and one go live solution.Role 2: Cornerstone Implementation EngineerExp: 4-7 YearsJob Location: Hyderabad/Bangalore/Chennai/Pune/Mumbai/NoidaBudget: 20LGeneral ShiftHave strong expertise with CSOD Learning (LMS) including Reporting 2.0 and CSOD integrations CSOD core and LMS certification required CSOD Integration consultant certification will be a plus Experience with:CSOD release management, patch updatesProviding advisory and support for CSOD LMS, usage and enhancementsKnowledge of IT Neworking industry will be a plusStrong client facing communication skills, consultative and analytical approachAble to work independently without much supervisionexperience in LMS / learning domain and CSODShould be open to work in overlapping EST time zoneBasic Qualifications:Minimum 5 years of work experienceMinimum 3 years of CSOD implementationMinimum 2 years of CSOD IntegrationsMinimum 3 years of CSOD Release ManagementRole3: AI/ ML EngineerJob Location: Mumbai/PuneExp: 5-10 YearsBudget: 5-7 yrs: 22 Max & 7-10 yrs: 30 MaxGeneral ShiftExperience:• 5–10 years in AI/ML, data science, or a related field with a strong background in developing and deploying AI solutions.• Demonstrated hands-on experience in Python, with extensive use of ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).• Proven track record in working with Gen AI foundation models (such as GPT, BERT, or similar) to build and deploy generative AI solutions.Technical Skills:• Proficiency in Python programming and data manipulation libraries (e.g., Pandas, NumPy).• Experience with NLP, data extraction, and transformation techniques.• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).• Experience in developing production-grade code with robust error handling, logging, and monitoring.Domain Knowledge:• Understanding of Life and General Insurance business processes (claims processing, underwriting, risk assessment, customer support).• Ability to translate business requirements into technical solutions and actionable insights.