... 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 ...
Data Scientist Starts Immediately Competitive salary Competitive salary Experience Data Scientist RightProfile Mumbai (Hybrid) Full-time 23 yrs Syntellect is building the intelligence layer for lending in markets where bureau data stops. RightProfile our field AI platform is live across India and East Africa, and expanding ...
... basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages. Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further ...
... statistical modelling, and explainability libraries. Data Platforms & Engineering: Experience working with Snowflake, Snowpark, Spark/PySpark, MLflow, cloud-based data platforms, and scalable analytical environments. Healthcare Data Expertise: Experience working with de-identified patient-level data including claims, specialty ...
... building robust, scalable systems that process real-time and historical financial data with minimal https://jobeax.com/link/XBSjZr7sVWVK9c0k may include : - Market Data Infrastructure : Design and optimize scalable systems for high frequency & mid frequency market data capture and storage.- Trading System Development : Enhance ...
... Widgets Implementation: Drive the hands-on development and implementation of the Quantus Insight graphical user interface using C++ and the Qt Widgets framework. - Big Data Presentation: Build and customize high-scale Qt Model/View components (trees, tables, forms) optimized for lazy loading, data paging, and minimal memory ...
... exceptional at understanding data, extracting insights, and turning those insights into robust machine learning or statistical models. You will own the full modeling workflow from exploratory analysis and feature engineering through to building reproducible pipelines that can be deployed into production for our customers.
... to leadership- Align practice goals with overall company strategyJob Summary : - 16+ years of experience in Data & Analytics / Data Engineering / Enterprise Data Management- Proven experience in leading large teams and managing P&L- Strong understanding of cloud data platforms (Azure, AWS, GCP) and modern data architectures- ...
... Experience with cloud platforms (AWS / Azure / GCP).- Familiarity with MLOps tooling and practices (e.g., model versioning, CI/CD for ML, monitoring).- Experience with big data technologies (Spark, Databricks, etc.).- Bachelor's / Master's / PhD in Computer Science, Statistics, Mathematics, or a related quantitative https://jobeax.com/link/sEOksQVqU173JbV8 ...
... accessibility and usability. Troubleshoot data-related issues and optimize data processing workflows. Skills and Qualifications - Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. - 8-15 years of experience in data analysis or a similar role. - Proficiency in Databricks and Spark for big data processing. ...
... Design, develop, operationalize robust and scalable data pipelines with automated data quality checks to support business needs and demonstrate ownership of live data pipelines. Proficiency understanding and implementing data life cycles, data lineage, custom metadata, and data governance. Proficiency implementing BigQuery ...
... 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 ...
... redefine the future of how work gets done. Senior Data Engineer At Snowflake, we are building the future of the data-driven enterprise. We are looking for a Senior Data Engineer who brings deep technical craft, strong ownership instincts, and the ability to operate across the full data lifecycle — from raw ingestion to production-ready ...
... critical data ingestion and processing capabilities, improve data quality and reliability, and develop AI-powered solutions for complex real-world healthcare data challenges. We are looking for an engineer who combines strong Python and data engineering expertise with cloud-native development, production ownership, and ...
... consistent access to trusted data at enterprise scale. Senior Data Engineers work closely with Data Product Managers, Architects, Domain SMEs, and Platform Engineering to translate business requirements into robust technical solutions using modern data engineering patterns and cloud-native tooling. The role supports the ...
Role Overview Application Senior Data (Platform) Engineer Location: Hyderabad | Department: Technology, Data About The Role Are you passionate about building reliable, scalable data platforms that make analytics and AI development easier As a Senior Data Platform Engineer, you will be hands-on in building, operating, and ...