Data Engineer (AI, db) in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
Antern Technologies is a product and engineering services company with over a decade of experience building scalable digital platforms and enterprise solutions. The company specializes in AI-driven products and custom technology solutions that help organizations modernize systems, improve efficiency, and achieve measurable business outcomes. Experience: 8–13 Year's
Candidates should be comfortable working 100% remotely.
Preference for professionals who are currently working from home or in a hybrid work environment and are comfortable transitioning to a new remote project.
Candidates should be adaptable and interested in contributing to a new project and evolving technical environment.
Job Description This is a full-time, remote Data Engineer role candidates based in Bengaluru, focused on COSMOS DB for experienced professionals with 8–13 years of relevant background. Candidates who are already comfortable working in a remote or hybrid environment and are looking for a new project opportunity are encouraged to apply.
The Data Engineer will design, build, and maintain scalable data pipelines and solutions, ensuring high performance and reliability across COSMOS DB and related data platforms. Daily responsibilities include modeling and structuring data, implementing ETL processes, optimizing data storage and retrieval, and collaborating with product, engineering, and analytics teams to support business reporting and AI-driven initiatives.
Bulk historical load from the systems of record (Aderant matters and parties via the published field maps): 300k-400k matters, 1-3M party rows.
the search-service performance work.
Incremental sync for same-business-day freshness (including the platform's own write-back and the ledger reconciliation).
Large-scale data / ETL engineering; SQL Server; performance tuning, Graph / vector stores, record linkage; graph and vector databases; SQL Server (incl. large-scale data engineering
Nice-to-have. Experience in Legal or party data at scale.
Experience. Data migration experience, Min 2 years of experience in Knowledge graph and Vector Data migration.
... may be invited to take part in online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based ...
... may be invited to take part in online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based ...
... may be invited to take part in online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based ...
... principles, clean coding standards, and design patterns. Machine Learning Libraries: Advanced proficiency in scikit-learn (sklearn) for data preprocessing, feature engineering, and baseline modelling. Deep Learning Frameworks: Core expertise in PyTorch (preferred) or TensorFlow for building, customizing, and training deep neural ...
... SLA responsibility in an ML/AI data operations environment - Knowledge of databases (SQL, MySQL) and Advanced Excel experience working with and analyzing large datasets to drive business improvements - Familiarity with ML data annotation workflows, labeling tools, or AI/ML program operations - Experience working in geographically ...
... may be invited to take part in online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based ...
... Develop production-ready code and perform data analysis with Python and SQL Create workflows for model development and apply feature engineering methods Use Azure AI Search to make data and models easier to consume for business needs Coordinate with developers and project managers using GitLab and Jira Refine data pipelines ...
... statistics, ML classification, time-series modeling). - Integrate outputs with downstream systems (dashboards, APIs, ML models) to support digital agronomy and sustainability reporting. - Maintain data quality, document methodologies, and support junior geospatial analysts. - Promote best practices in model development and code ...
... may be invited to take part in online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based ...
... applications for accuracy, latency, and cost. Implement data preprocessing, feature engineering, and ML model training workflows. Work with structured and unstructured datasets to solve business problems. Collaborate with Product Managers, Software Engineers, and Subject Matter Experts to deliver AI-driven features. Monitor model ...
... may be invited to take part in online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based ...
... automation, machine learning or generative AI, rather than applying AI by default. Commitment to continuous learning in data, AI, cloud engineering and the maritime domain. Reliable, maintainable and well-tested data and AI workflows that improve product quality and team efficiency. Clear evidence that AI-assisted outputs are evaluated, ...
... generation (RAG) systems Develop and optimize prompts, evaluation frameworks, and guardrails for LLM-powered applications Engineer scalable data and ML pipelines in Databricks using PySpark, Delta Lake, and MLflow Deploy, monitor, and maintain models in production on Azure (Azure AI Foundry, Azure OpenAI, Azure Functions, AKS), ...
... Strategists to translate model outputs into actionable credit limits, cutoff thresholds, and loss-forecasting simulations. - Platform Architecture: Collaborate with Data Platform Engineers to build reliable pipelines and high-throughput feature extraction. - Raise the technical bar through peer reviews, reusable tooling, and pro-active ...
... may be invited to take part in online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based ...
... scalable solutions Generate actionable insights through data analysis and modeling Deploy, monitor, and improve model performance Qualifications - Bachelor's/Master's in Computer Science, Data Science, Engineering, or related field - 3–8 years of relevant experience Skills: data scientist,genai,python,sql,pyspark,aiml,ml
Enterprise Data & AI Solution ArchitectJob SummaryAs an Enterprise Data & AI Solution Architect within Darktrace's TechOps Centre, you will lead the design and evolution of enterprise data, analytics and AI solutions across Darktrace's Microsoft technology https://jobeax.com/link/8eCu4g68SO5sOI6t with business, data, technology, ...
... candidate will leverage generative AI and large language models (LLM) to enhance our data-driven decision-making processes. Key responsibilities : Design and develop data models using generative AI and LLM technologies. Implement retrieval-augmented generation techniques to improve data accessibility. Analyze complex datasets to ...
... to help create sustainable solutions that improve quality of life and meet society's evolving needs. Work with data scientists, data analysts, computational engineers, machine learning engineers, software developers, or business representatives across our global organization to research, develop, and deliver data science ...
... and consumption layers.- Define reference architectures using Azure Data Lake, Azure Synapse Analytics, Microsoft Fabric, Azure Databricks, and Azure SQL/Cosmos DB.- Architect AI/ML and Generative AI solutions using Azure Machine Learning, Azure AI Foundry, Azure OpenAI Service, and Cognitive Services.- Design data governance, ...