3,507 director data engineering jobs in India.

... dependencies, risks and resolution plans clearly to relevant https://jobeax.com/link/6Jsa1QSw3kSrAk19 Skills & Experience :Mandatory :- 5 - 7 years of experience in data engineering, integration engineering, backend engineering or systems integration.- Meaningful production experience with live financial systems, preferably banking, ...

... architectures like RNNs and LSTM , BERT Should have worked with cognitive services from major cloud platforms like AWS and have a working knowledge of SQL and no-SQL databases. Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles Keep abreast with new tools, algorithms ...

... 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 on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...

... Perform data cleaning and preprocessing to prepare datasets for analysis. Write complex SQL queries to extract, manipulate, and analyze data from relational databases. Work with cloud platforms (e.g., AWS, Azure, Google Cloud) to store, manage, and analyze data. Use statistical techniques and software to analyze datasets, ...

... code deployment. Monitor data freshness and pipeline health; respond to alerts and escalate issues as appropriate. Proactively identify opportunities to improve data quality, reduce pipeline run times, and enhance reporting capabilities. Required Qualifications - 5–10+ years of professional experience in data engineering, ...

... Design and implement GenAI systems with LangChain , RAG , and agent workflows Translate business goals into production-ready AI applications Work with prompt engineering , embeddings, and vector databases Collaborate with engineering, product, and data teams on performance optimization Deploy AI solutions on AWS, Azure, or ...

... operationalize data science and analytical solutions as well as ensure its adoption by businesses. Work toleveragedata (Transactional / Big Data, External/ Internal Data, Structured/ Unstructured Data) and analytics methodsto develop analytics solutions 6 - 8 years of experience, preferred - BTech-BE from Tier 1/2 engineering ...

... LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, ...

... degree in data science, Mathematics, Statistics, Computer Science, or related field AND 5+ years related experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR master's degree in data science, Mathematics, Statistics, Computer Science, or related field AND 4+ ...

... contributing to organizational https://jobeax.com/link/dZl2Pf8ll7nNVerR : BengaluruYour Future Employer :It is a global AI and analytics company specializing in data-driven solutions, advanced analytics, data engineering, governance, MLOps, and AI-powered/Generative AI solutions. Founded in 2011, it works with major organizations ...

... consumer behavior and the influencers that drive it. As a Data Classification Associate, you will perform various duties related to data entry. Enter required data in accordance with detailed data entry guidelines and project- specific requirements. This key function requires learning and adhering to: General data entry ...

... developer tooling framework to ensure data is seamlessly and securely consumed by services across the entire Okta ecosystem. - Collaborate with India-based engineering and development scrum teams to deliver high-performance data pipeline enhancements and architectural improvements. - Distill complex requirements from a diverse ...

... infrastructure and scalable deployments 2+ years of experience in Data Science / Machine Learning / NLP - Proven experience in model training and fine-tuning using custom datasets - Hands-on experience with Hugging Face, PyTorch, or TensorFlow - Vector Databases: Pinecone, Milvus – for embeddings and semantic search in translation or ...

... - Closed source LLMs such as Open AI GPT, Azure Open AI, Claude, Gemini etc - Understand business problems and translate them into AI/ML solutions. - Perform data collection, preprocessing, feature engineering, and exploratory data analysis. - Develop supervised and unsupervised machine learning models. - Design and optimize ...

... forefront of developing intelligent solutions that optimize network performance and enhance customer engagement. You will work closely with cross-functional engineering teams, product managers, and data architects to translate complex business requirements into robust machine learning models. Your work will directly influence ...

... analysis a part of the output) to the client as a part of decision-making. Evaluate and select the tools and components necessary for optimal data management (data acquisition, data storage, data quality, data governance, data visualization). Client data handling, generally high size of data. Loading, analyzing the data ...

... all required inputs for required change Manual and automated adjustments to new systems if required Data quality checks and testing Work closely with account directors, program managers Monitor and support new implementation by analysing Splunk, AppDynamics, and Grafana Dashboards Reverse engineering of current PL/SQL modules, ...

... Perform data cleaning and preprocessing to prepare datasets for analysis. Write complex SQL queries to extract, manipulate, and analyze data from relational databases. Work with cloud platforms (e.g., AWS, Azure, Google Cloud) to store, manage, and analyze data. Use statistical techniques and software to analyze datasets, ...

... data into actionable insights using cutting-edge AI platforms, automation techniques, and advanced statistical methods. Develop and deploy scalable AI-powered data analytics solutions for business intelligence, forecasting, and optimization. Leverage AI tools to automate data cleansing, feature engineering, model building, ...

... analysis a part of the output) to the client as a part of decision-making. Evaluate and select the tools and components necessary for optimal data management (data acquisition, data storage, data quality, data governance, data visualization). Client data handling, generally high size of data. Loading, analyzing the data ...