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 at scale. Role Design, implement and lead Data Architecture, Data Quality, Data Governance Defining data modeling standards and foundational best practices Develop and evangelize data quality standards and practices Establish data governance processes, procedures, policies, and guidelines to maintain the integrity and security of the data Drive the successful adoption of organizational data utilization and self-serviced data platforms Create and maintain critical data standards and metadata that allows data to be understood and leveraged as a shared asset Develop standards and write template codes for sourcing, collecting, and transforming data for streaming or batch processing data Design data schemes, object models, and flow diagrams to structure, store, process, and integrate data Provide architectural assessments, strategies, and roadmaps for data management Apply hands-on subject matter expertise in the Architecture and administration of Big Data platforms, Data Lake Technologies (AWS S3/Hive), and experience with ML and Data Science platforms Implement and manage industry best practice tools and processes such as Data Lake, Databricks, Delta Lake, S3, Spark ETL, Airflow, Hive Catalog, Redshift, Kafka, Kubernetes, Docker, CI/CD Translate big data and analytics requirements into data models that will operate at a large scale and high performance and guide the data analytics engineers on these data models Define templates and processes for the design and analysis of data models, data flows, and integration Lead and mentor Data Analytics team members in best practices, processes, and technologies in Data platforms Qualifications B.S. or M.S. in Computer Science, or equivalent degree 10+ years of hands-on experience in Data Warehouse, ETL, Data Modeling & Reporting 7+ years of hands-on experience in productionizing and deploying Big Data platforms and applications, Hands-on experience working with: Relational/SQL, distributed columnar data stores/NoSQL databases, time-series databases, Spark streaming, Kafka, Hive, Delta Parquet, Avro, and more Extensive experience in understanding a variety of complex business use cases and modeling the data in the data warehouse Highly skilled in SQL, Python, Spark, AWS S3, Hive Data Catalog, Parquet, Redshift, Airflow, and Tableau or similar tools Proven experience in building a Custom Enterprise Data Warehouse or implementing tools like Data Catalogs, Spark, Tableau, Kubernetes, and Docker Knowledge of infrastructure requirements such as Networking, Storage, and Hardware Optimization with hands-on experience inAmazon Web Services (AWS) Strong verbal and written communications skills are a must and should work effectively across internal and external organizations and virtual teams Demonstrated industry leadership in the fields of Data Warehousing, Data Science, and Big Data related technologies Strong understanding of distributed systems and container-based development using Docker and Kubernetes ecosystem Deep knowledge of data structures and algorithms Experience working in large teams using CI/CD and agile methodologies.

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 data warehouse solutions, schema evolution, and data versioning. Implement and manage workflow orchestration using Airflow or similar tools. Work with complex business use cases and transform them into scalable data models and architectures. Collaborate with cross-functional teams to deliver high-quality data engineering and analytics solutions. Mentor team members and provide technical leadership on Databricks and modern data technologies. Required Skills & Experience 7+ years of experience in Data Warehouse, ETL, Data Modeling & Reporting. 5+ years of experience in productionizing & deploying Big Data platforms. 3+ years of hands-on Databricks experience. Strong expertise with : SQL, Python, Spark, Airflow AWS S3, Redshift, Hive Data Catalog, Delta Lake, Parquet, Avro Streaming platforms (Spark Streaming, Kafka, Hive) Proven experience in building Enterprise Data Warehouses and implementing frameworks such as Databricks, Apache Spark, Delta Lake, Tableau, Hive Metastore, Kafka, Kubernetes, Docker, and CI/CD pipelines. Hands-on experience with Machine Learning frameworks (TensorFlow, Keras, PyTorch) and MLOps practices. Strong leadership, problem-solving, and communication skills.

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 ML system performance Drive continuous improvement in prompt accuracy using quantitative and qualitative feedback Lead system architecture decisions and guide technical strategy Implement efficient data processing and integration solutions Ensure code quality through rigorous testing, code reviews, and LLM best practices Required Qualifications B.Tech/B.E. in Computer Science, IT, or related field from a reputed institute 5+ years of software development experience, with 2+ years in MLOps/LLMOps Proven experience implementing CI/CD, MLOps, or LLMOps pipelines Production-level expertise with Azure Cloud, AI, ML, and Data Pipeline services Strong proficiency in Python and experience with FastAPI Solid understanding of ML algorithms and solutions Excellent problem-solving skills and ability to work independently Strong communication skills in English Willingness to work U.S. East Coast hours Desired Skills Advanced degree in Data Science, Machine Learning, or Computer Science Experience in productionizing GenerativeAI systems Expertise in optimizing ML-based systems Familiarity with Bicep, Terraform, or related infrastructure automation tools Advanced proficiency in Azure and Python Why Join MarketEngine.ai? - Be part of a high-growth Silicon-Valley startup revolutionizing SMB marketing technology. - Collaborate with industry leaders in AI/ML and marketing experts. - Competitive salary package (Best in industry) - Flexible work arrangements and a dynamic, intellectually stimulating environment - Opportunity to shape the future of demand generation technology for startups and SMBs

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 concepts to technical and non-technical audiences. Key Responsibilities: Plan, productionize, and document scalable Data Science solutions Understand the business problem from stakeholders and convert it to actionable tasks Driven to create in-depth Exploratory Data Analysis and Feature Engineering; experienced with ML Ops Adept at standard and latest ML algorithms and Model explainability. Knowledge about causal inference is a great to-have Help mentor and guide Data Scientists Qualifications - Internal Key Requirements: Experience : At least 8 years of relevant experience Education: Bachelors or masters degree in computer science or mathematics, Statistics or a related field. PhD with lesser experience is welcome. Required Skills: Proficient in ML models across supervised and unsupervised learning, along with knowledge of Deep Learning models using TensorFlow / PyTorch Experienced in Natural Language Processing with focus on Transformer models Experienced in using Generative AI. At least one project implementation is expected Knowledge in MLOps is recommended Extensive coding experience in Python (and R) as well as scripting in SQL Visualization of outputs, using Tableau/ Power BI/ Streamlit, along with crisp communication Strong ability to assess the business problem and suggest applicable data science solutions Great at presenting and explaining model results to any kind of audience Personal Attributes: Ability to adapt and work with a distributed team Ability to manage multiple initiatives Ability to work with ambiguous requirements, seek clarity and manage risks. Ability to communicate complex concepts in a simple yet intelligent way.

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 concepts to technical and non-technical audiences. Key Responsibilities: Plan, productionize, and document scalable Data Science solutions Understand the business problem from stakeholders and convert it to actionable tasks Driven to create in-depth Exploratory Data Analysis and Feature Engineering; experienced with ML Ops Adept at standard and latest ML algorithms and Model explainability. Knowledge about causal inference is a great to-have Help mentor and guide Data Scientists Qualifications - Internal Key Requirements: Experience : At least 8 years of relevant experience Education: Bachelors or masters degree in computer science or mathematics, Statistics or a related field. PhD with lesser experience is welcome. Required Skills: Proficient in ML models across supervised and unsupervised learning, along with knowledge of Deep Learning models using TensorFlow / PyTorch Experienced in Natural Language Processing with focus on Transformer models Experienced in using Generative AI. At least one project implementation is expected Knowledge in MLOps is recommended Extensive coding experience in Python (and R) as well as scripting in SQL Visualization of outputs, using Tableau/ Power BI/ Streamlit, along with crisp communication Strong ability to assess the business problem and suggest applicable data science solutions Great at presenting and explaining model results to any kind of audience Personal Attributes: Ability to adapt and work with a distributed team Ability to manage multiple initiatives Ability to work with ambiguous requirements, seek clarity and manage risks. Ability to communicate complex concepts in a simple yet intelligent way

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) TypeScript/React (for building UIs around agents) REST/GraphQL APIs Comfortable integrating models via APIs (OpenAI, Anthropic, HuggingFace). Rapid Prototyping & Iteration Able to build, test, and iterate on Agent workflows Tooling pipelines UI/UX for human-agent interaction Familiarity with hacky proof-of-concept workflows and productionizing them. Product & Systems Thinking Strong sense of product intuition what to build and why. Thinks in terms of goals, user outcomes, system feedback loops , not just features.

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 communication skills The candidates will be assessed internally and by client before they are selected for onboarding. This will include hands-on coding skills.