... end to end. No one currently rehearses database restores, owns index and capacity strategy, or reviews schema changes before they reach production. Because the data includes client money movement and KYC records, this is a compliance exposure as well as an engineering one. Own backup, point-in-time recovery and retention ...
... external business functions to ensure global master data is maintained at the highest quality level. Key Performance Measures Meeting Project Milestones Master Data Accuracy On time delivery of Data analysis to stakeholders Knowledge, Skills And Experience Data Analysis & Problem-Solving Ability to analyze large datasets, ...
... Industrial Engineering and Management / Information Systems Engineering / Economics / Statistics / Mathematics / similar background. - 3+ years of experience in Data Analysis and interpretation (Marketing/ Business/ Product). - High proficiency in SQL. - Experience with data visualization of large data sets using BI systems ...
... techniques. - Proficiency in data manipulation and analysis tools (e.g., Pandas, NumPy, SQL). - Experience in Generative AI Models and LLMs, finetuning LLMs, prompt engineering and experience with LLM orchestration frameworks like Langchain, LlamaIndex, RAGAS, etc. - Strong software engineering skills for rapid and accurate development ...
... quality at a global scale? Join us in Bangalore to lead a team of expert medical reviewers, advance Risk-Based Quality Management (RBQM), and ensure that the data behind life-changing therapies is robust, reliable and patient-focused. Your new role As Senior Manager of CMU-BLR Medical Data Review, you will plan and oversee ...
... hiring a hands-on Senior Data Scientist / AI Engineer to design and productionize AI capabilities for automated understanding and validation of complex 2D engineering drawings. The role combines Computer Vision, OCR/Document AI, multimodal LLMs, RAG/Graph-RAG, Knowledge Graphs and deterministic engineering rules. Key Responsibilities ...
... Description: IF interested, please fill this form: - - 5+ years of experience combined in programming, small to large-scale applications, frontend and backend engineering, test-driven development, microservices and architecture design principles - Must have experience on AI/ML implementation such as: Langchain, Langgraph and ...
... understanding of web and network technologies, including TCP/IP, DNS, TLS/SSL, and web application architectures. - Ability to collaborate effectively across data science, security, operations, customer-facing, and engineering teams. Permanent workplace flexibility with the ability to work from home, from an office, or ...
... techniques. - Proficiency in data manipulation and analysis tools (e.g., Pandas, NumPy, SQL). - Experience in Generative AI Models and LLMs, finetuning LLMs, prompt engineering and experience with LLM orchestration frameworks like Langchain, LlamaIndex, RAGAS, etc. - Strong software engineering skills for rapid and accurate development ...
... Expertise in developing data transformation pipelines using DBT . Experience building and maintaining workflows using Apache Airflow . Proficiency in Python for data engineering and automation. Experience designing, developing, and supporting end-to-end data pipelines . Strong understanding of data modelling, data quality, ...
... agile team of data scientists, engineers, and UX developers. The role focuses on building and maintaining robust data pipelines to support advanced analytics, data science, and BI solutions. As a Senior Data Engineer, you will work with internal and external data, collaborate with data scientists, and contribute to the design, ...
... clients, including organisations across professional sport and other major industries. You won’t spend your internship making presentations, shadowing senior engineers or working on meaningless internal projects. You will build. You’ll work with AI agents, n8n, APIs, automation, data enrichment and large language models to ...
... are dedicated to developing cutting-edge solutions that leverage artificial intelligence to solve complex real-world problems. Our team comprises passionate engineers, researchers, and designers committed to pushing the boundaries of what's possible with AI. Responsibilities - Assist in the design, development, and deployment ...
... understand data requirements and deliver data solutions Ensure data quality governance lineage and security standards are maintained Monitor troubleshoot and optimize data workflows and pipeline performance Technical Requirements: Databricks Certification Azure Data Engineer Associate Certification AWS Data Analytics Certification ...
... the product team members. Qualification & Experience . Graduate in an area such as Information Technology, Engineering . . At least 5 years experience in BigData Development. ○ Strong Hands On Experience on Python, PySpark, Java Script, AWS, Cloud . Primary Skills ○ Knowledge of SQL and relational databases ○ Proficiency ...
... compelling and clear business focused insights. Can work with multiple databases and big data solutions. Work with the data engineering team to develop & maintain data pipelines. Identify, design, and implement internal process improvements and tools to automate data processing and ensure data integrity while meeting data security ...
... problems.- Collaborate with cross-functional teams (Product, Engineering, Business) to understand business needs, define project scopes, and translate them into data science problems.- Develop, test, and productionize models using Python, SQL, and PySpark on large-scale datasets.- Apply deep learning and advanced statistical ...
... of data engineers, data scientists, and ML engineers from scratch.- Unified Roadmap : Define and execute a multi-year technical vision that bridges scalable data infrastructure with advanced AI capabilities.- Cross-Functional Impact : Partner with Vehicle Engineering, Software, Manufacturing, and Sales to identify high-impact ...
... data validation and acceptance testing for new and updated data products, ensuring delivered assets meet the requirements defined. - Support investigation of data quality issues reported by consumers, working with Data Engineers to diagnose and resolve them. - Drive adoption of certified data products and datasets across ...