3 Enterprise Analytics Jobs

As a Senior Data Engineer + AI, you will play a crucial role in designing and optimizing distributed data pipelines using PySpark, Apache Spark, and Databricks to cater to both analytics and AI workloads. Your expertise in PySpark, Apache Spark, and Databricks for batch and streaming data pipelines will be instrumental in contributing to high-impact programs with clients. Your strong SQL skills for data analysis, transformation, and modeling will enable you to drive data-driven decision-making and facilitate rapid insight generation. Your responsibilities will involve supporting RAG pipelines, embedding generation, and data pre-processing for LLM applications, as well as creating and maintaining interactive dashboards and BI reports using tools such as Power BI, Tableau, or Looker. You will collaborate with cross-functional teams, including AI scientists, analysts, and business teams, to ensure the successful delivery of use cases. In this role, you will need to have a solid understanding of data warehouse design, relational databases such as PostgreSQL, Snowflake, SQL Server, as well as data lakehouse architectures. Your familiarity with cloud services for data and AI, such as Azure, AWS, or GCP, will be essential for ensuring data pipeline monitoring, cost optimization, and scalability in cloud environments. Furthermore, your exposure to Generative AI, RAG, embedding models, and vector databases like FAISS, Pinecone, ChromaDB, as well as experience with Agentic AI frameworks such as LangChain, Haystack, CrewAI, will be beneficial. Your knowledge of MLflow, Delta Live Tables, or other Databricks-native AI tools, CI/CD, Git, Docker, and DevOps pipelines will also be advantageous in this role. If you have a background in consulting, enterprise analytics, or AI/ML product development, it will further enhance your ability to excel in this position. Your excellent problem-solving and collaboration skills, coupled with your ability to bridge engineering and business needs, will be key to your success as a Senior Data Engineer + AI.,

Position - Senior Software Engineer - Azure Stack (Enterprise Analytics & Data Science) Our Enterprise Analytics team is at the forefront of transforming data into actionable insights that drive strategic decisions across the organization. We are a collaborative, cross-functional group of engineers, data scientists, analysts, and architects who value: Innovation : We embrace new technologies and encourage experimentation to solve complex business problems. Ownership : Every team member is empowered to take initiative and drive projects from concept to production. Transparency : We foster open communication, regular knowledge sharing, and inclusive decision-making. Continuous Learning : We support professional development through certifications, tech talks, and hands-on learning. Impact : Our work directly influences enterprise-wide initiatives, from customer experience to operational efficiency. Youll be joining a team that believes in building with purpose , where engineering excellence meets data-driven strategy. Key Responsibilities: Design, develop, and deploy robust, scalable, and secure applications on the Azure platform. Collaborate with product managers, architects, and cross-functional teams to translate business requirements into technical solutions. Implement CI/CD pipelines using Azure DevOps or GitHub Actions. Optimize application performance, scalability, and reliability. Ensure best practices in cloud security, monitoring, and cost management. Mentor junior engineers and contribute to code reviews and architectural discussions. Stay current with Azure innovations and recommend new tools and technologies. Required Qualifications: 6+ years of professional software development experience. 3+ years of hands-on experience with Azure services such as: Azure SQL, Cosmos DB, Azure Storage Azure App Services, Azure Functions, Azure Kubernetes Service (AKS) Azure Key Vault, Azure Monitor, Application Insights Strong proficiency in backend development using languages such as Python, Node.js, or Go . Experience with RESTful APIs , microservices architecture and cloud platforms (e.g., AWS, GCP, Azure). . Solid understanding of CI/CD pipelines , infrastructure as code (IaC) using ARM templates , Bicep , or Terraform . Proficiency in working with databases (SQL and NoSQL). Familiarity with containerization and orchestration (Docker, Kubernetes). Strong problem-solving skills and ability to work independently in a remote or hybrid environment. Preferred Qualifications: Microsoft Certified: Azure Solutions Architect Expert or Azure Developer Associate. Experience with Azure OpenAI , Azure Logic Apps , or Power Platform . Exposure to Agile/Scrum methodologies and tools like Jira or Azure Boards. Contributions to open-source projects or technical blogs. Minimum Qualifications Doctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years; Bachelor's Level Degree and related work experience of 8 years

As the Head of Product for our client in the Technology, Information and Media industry based in Mumbai, you will be responsible for leading AI/ML and enterprise analytics initiatives. This role requires a strategic product leader with at least 8 years of experience and a strong technical background. Your main focus will be on developing AI-first solutions that revolutionize how businesses utilize data, by leveraging cutting-edge technologies such as large language models, generative AI, and real-time data intelligence. Your responsibilities will include defining and evolving the product strategy for AI/ML-powered tools, translating customer needs into product opportunities, and integrating frontier technologies into a cohesive product vision. You will lead the ideation, scoping, and launch of ML-driven features, collaborate with cross-functional teams, and drive customer-centricity through iterative feedback loops and product analytics. Additionally, you will mentor a product team, build internal alignment, and act as a thought leader both internally and externally. To excel in this role, you should have a Masters or PhD in Computer Science, Data Science, Machine Learning, or a related field, along with 8-12 years of experience in AI/ML, advanced analytics, or enterprise-grade data science platforms. You should possess a strong grasp of ML/NLP models, GenAI/LLM stacks, and experience working with scalable architectures. Furthermore, you should have 5+ years of product management experience, including 2+ years in a leadership role, with a proven track record of shipping AI-first B2B or enterprise products. Your business and communication skills should be exceptional, with the ability to tell compelling product stories, align stakeholders around a data-driven narrative, and translate technical outputs into user value and commercial impact. Experience with MLOps platforms, growth-stage startups, enterprise SaaS companies, and global data privacy frameworks would be considered a bonus. If you are passionate about innovation, execution, and impact, and have a strong background in AI/ML and product management, this is an exciting opportunity for you to lead transformative AI initiatives and make a significant difference in the world of analytics and enterprise solutions.,