8 Productionizing Jobs

Data Architect is responsible to define and lead the Data Architecture, Data Quality, Data Governance, ingesting, processing, and storing millions of rows of data per day. This hands-on role helps solve real big data problems. You will be working with our product, business, engineering stakeholders, understanding our current eco-systems, and then building consensus to designing solutions, writing codes and automation, defining standards, establishing best practices across the company and building world-class data solutions and applications that power crucial business decisions throughout the organization. We are looking for an open-minded, structured thinker passionate about building systems...

Contract Duration : 4 Months (Extendable based on Performance) Job Timings : India Evening Shift (till 11 : 30 PM IST) We are looking for an experienced Databricks Tech Lead to join our team on a 4-month extendable contract. The ideal candidate will bring deep expertise in data engineering, big data platforms, and cloud-based data warehouse solutions, with the ability to work in a fast-paced remote environment. Key Responsibilities Lead the design, optimization, and management of large-scale data pipelines using Databricks, Spark (PySpark), and AWS data services. Productionize and deploy Big Data platforms and applications across multi-cloud environments (AWS, Azure, GCP). Build and manage d...

Role Overview We're looking for a passionate and experienced AIML Engineering Lead to join our Pune team and spearhead the development of production-grade LLM-based agentic platform. In this role, you'll be instrumental in designing scalable infrastructure for our LLM systems and developing robust frameworks for prompt management. As a key team member, you'll have significant influence on our system architecture and technical direction. Job Location The position will be in-person in Pune, India. Key Responsibilities Architect and implement production-grade LLMOps pipelines Develop and maintain prompt engineering and evaluation systems Establish comprehensive monitoring and observability for ...

Job Role: As a Senior Data Scientist, you will be responsible for designing, developing and productionizing of ML-driven solutions to business problems. You will work closely with local and onshore team of data scientists and stakeholders to understand their needs and pain points, and then translate those into actionable data science projects. Your primary focus will be statistical data analyses and helping build high-quality predictive models integrated with our products. The ideal candidate is an experienced data wrangler with a deep understanding of data science principles and a proven track record of delivering ML-driven solutions. S/he will effectively communicate complex technical conc...

Job Role: As a Senior Data Scientist, you will be responsible for designing, developing and productionizing of ML-driven solutions to business problems. You will work closely with local and onshore team of data scientists and stakeholders to understand their needs and pain points, and then translate those into actionable data science projects. Your primary focus will be statistical data analyses and helping build high-quality predictive models integrated with our products. The ideal candidate is an experienced data wrangler with a deep understanding of data science principles and a proven track record of delivering ML-driven solutions. S/he will effectively communicate complex technical conc...

Grade C1/C2 Experience in agent frameworks atleast one of the below CrewAI LangChain agents Autogen AutoGPT / OpenAgents Understand agent roles, memory, planning, and tools .Experience with Prompt engineering (few-shot, chain-of-thought, tool-calling) Fine-tuning or RAG (Retrieval-Augmented Generation) Model selection and deployment (local vs API-based) Vector databases (e.g., Pinecone, Weaviate, Chroma) Tool execution environments (e.g., LangChain tools, custom wrappers) Awareness of model limitations, hallucinations, and how to mitigate them. Full-Stack Engineering Proficiency Ability to build end-to-end systems frontend + backend + infra. Fluency in Python (especially for AI orchestration...

3 -4+ years of overall industry experience in designing, developing, anddeploying ETL solutions using industry standard ETL tools 1+ years of hands-onexperience in developing and productionizing solutions with Talend DataIntegration Extensive experience in designing end-to-end transformations andworkflows using Talend Data Integration, as per requirement specifications Good communications skills in spoken and written English

Looking only Immediate Joiners PAN INDIA Locations Below is the JD for these: Azure based requirements Hands-on experience (5 years or Greater) designing, planning, building, productionizing, maintaining, and documenting reliable and scalable data infrastructure and data products in complex environments Development experience in one or more object-oriented programming languages (e.g. Python, Scala, Java, C#) Experience with SQL and NoSQL database fundamentals, query structures and design best practices, including scalability, readability, and reliability Knowledge and hands-on experience in technologies across all data lifecycle stages and CI-CD implementation Strong verbal and written commu...