Bourntec Solutions

The Technical Product Manager (AI/Gen AI) position at Bourntec in Hyderabad involves spearheading the integration of AI and Gen AI technologies into enterprise workflows. As a Technical Product Manager, you will play a crucial role in bridging the gap between engineering, product management, and enterprise integration. Your responsibilities will include defining technical roadmaps and architectures for AI/Gen AI product integration, acting as a Scrum Master to facilitate agile execution, collaborating with various teams to drive seamless AI adoption, and overseeing the execution of core products from proof of concepts to scalable AI solutions. To excel in this role, you should have 5-6 years of experience as a Technical Product Manager, Technical Lead, or Scrum Master. Your expertise should encompass strong AI/ML knowledge, including NLP, agentic workflows, and familiarity with cloud platforms such as Azure, AWS, and OCI. Proficiency in APIs, enterprise integrations, and agile methodologies is essential, along with exceptional communication and stakeholder management skills. Key Technical Skills required for this role include: - Strong AI/Gen AI Expertise: Profound understanding of ML, NLP workflows, and agentic AI systems. - Enterprise Integration: Hands-on experience with APIs, cloud platforms, and CI/CD pipelines. - Agile Product Execution: Experience with Scrum frameworks, Jira, and backlog management. In addition to technical skills, soft skills such as effective communication, leadership, problem-solving, critical thinking, and cross-team collaboration are highly valued for this position. If you are passionate about AI product execution and enterprise integration and possess the requisite technical and soft skills, we encourage you to apply for this exciting opportunity. Let's connect and explore how you can contribute to our mission of seamlessly integrating AI into businesses at Bourntec.,

Job Title: Data Specialist – GenAI, Azure, Snowflake, and Databricks Location: Hyderabad, Telangana (Onsite/Hybrid as per project needs) Employment Type: Full-time About the Role We are seeking a highly skilled Data Specialist with proven expertise in Generative AI (GenAI) , Azure cloud services , Snowflake , and Databricks . The ideal candidate will be responsible for designing, developing, and optimizing data solutions, integrating GenAI-driven insights, and enabling efficient data pipelines and analytics for enterprise-scale projects. Key Responsibilities Data Engineering & Pipeline Development: Design and implement robust ETL/ELT pipelines using Databricks and Azure Data Factory. Optimize data workflows for high performance and scalability. GenAI Integration: Develop and deploy AI/ML solutions leveraging Generative AI models. Work with unstructured and structured datasets to generate predictive and prescriptive insights. Data Platform Management: Manage and maintain Snowflake data warehouse, ensuring high availability and security. Optimize Snowflake queries and storage for cost-effectiveness. Collaboration & Stakeholder Management: Work closely with data scientists, analysts, and business stakeholders to understand requirements. Translate business needs into technical solutions. Cloud Data Solutions: Architect and deploy data solutions on Microsoft Azure, leveraging services like Azure Data Lake, Azure Synapse, and Cognitive Services. Required Skills & Qualifications Technical Expertise: Strong hands-on experience with GenAI models (e.g., OpenAI, Azure OpenAI, Hugging Face). Proficiency in Databricks , Snowflake , and Azure data ecosystem . Strong SQL and Python programming skills. Experience with Spark for big data processing. Experience: 4–8 years of experience in data engineering, analytics, or AI-driven projects. Proven track record in implementing AI-powered data solutions. Soft Skills: Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in fast-paced, agile environments. Preferred Qualifications Certification in Microsoft Azure Data Engineer Associate or Snowflake SnowPro . Experience with machine learning pipelines and model deployment in production environments. Familiarity with MLOps and data governance best practices. Why Join Us? Opportunity to work on cutting-edge AI and data platforms. Collaborative and innovation-driven environment. Career growth through learning and certifications. If you’re passionate about leveraging AI and cloud data technologies to create impactful business solutions , we’d love to hear from you. Apply now with your updated resume. Job Type: Permanent Pay: From ₹2,000,000.00 per year Benefits: Health insurance Paid sick time Paid time off Provident Fund Work from home Work Location: In person

Job Title: Data Specialist – GenAI, Azure, Snowflake, and Databricks Location: Hyderabad, Telangana (Onsite/Hybrid as per project needs) Employment Type: Full-time About the Role We are seeking a highly skilled Data Specialist with proven expertise in Generative AI (GenAI) , Azure cloud services , Snowflake , and Databricks . The ideal candidate will be responsible for designing, developing, and optimizing data solutions, integrating GenAI-driven insights, and enabling efficient data pipelines and analytics for enterprise-scale projects. Key Responsibilities Data Engineering & Pipeline Development: Design and implement robust ETL/ELT pipelines using Databricks and Azure Data Factory. Optimize data workflows for high performance and scalability. GenAI Integration: Develop and deploy AI/ML solutions leveraging Generative AI models. Work with unstructured and structured datasets to generate predictive and prescriptive insights. Data Platform Management: Manage and maintain Snowflake data warehouse, ensuring high availability and security. Optimize Snowflake queries and storage for cost-effectiveness. Collaboration & Stakeholder Management: Work closely with data scientists, analysts, and business stakeholders to understand requirements. Translate business needs into technical solutions. Cloud Data Solutions: Architect and deploy data solutions on Microsoft Azure, leveraging services like Azure Data Lake, Azure Synapse, and Cognitive Services. Required Skills & Qualifications Technical Expertise: Strong hands-on experience with GenAI models (e.g., OpenAI, Azure OpenAI, Hugging Face). Proficiency in Databricks , Snowflake , and Azure data ecosystem . Strong SQL and Python programming skills. Experience with Spark for big data processing. Experience: 4–8 years of experience in data engineering, analytics, or AI-driven projects. Proven track record in implementing AI-powered data solutions. Soft Skills: Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in fast-paced, agile environments. Preferred Qualifications Certification in Microsoft Azure Data Engineer Associate or Snowflake SnowPro . Experience with machine learning pipelines and model deployment in production environments. Familiarity with MLOps and data governance best practices. Why Join Us? Opportunity to work on cutting-edge AI and data platforms. Collaborative and innovation-driven environment. Career growth through learning and certifications. If you’re passionate about leveraging AI and cloud data technologies to create impactful business solutions , we’d love to hear from you. Apply now with your updated resume. Job Type: Permanent Pay: From ₹2,000,000.00 per year Benefits: Health insurance Paid sick time Paid time off Provident Fund Work from home Work Location: In person