MakeMyTrip data science group is looking for experienced Data Scientists and ML Engineers who would focus on building the next level of AI/ML personalization, ranking, recommendation systems, pricing systems, reinforcement learning/bandit experimentation platform with click stream, customer, entities, and text data. Responsibilities ...
... Data Engineer to drive our mission to unlock potential of data assets by consistently innovating, eliminating friction in how users access data from its Big Data repositories and enforce standards and principles in the Big Data space. The candidate will be part of an exciting, fast paced environment developing Data Engineering ...
... maintain scalable data pipelines and data lake solutions on GCP. Build and automate data ingestion and transformation workflows using Airflow and BigQuery. Ensure data quality, performance, and security across all cloud environments. Collaborate with cross-functional teams to translate business needs into efficient data models. ...
... https://jobeax.com/link/fYGlpInxuIv5PeS1 & Skills :- 4 - 7 years in data engineering: SQL, Python, ETL/ELT orchestration.- Cloud data platform experience (Azure preferred): pipelines, storage, APIs.- Strong understanding of data lake and data architecture.- Data modelling for analytics (star schema) and data quality frameworks. (ref:hirist.tech)
... implementing batch and real-time data pipelines , data migration solutions, and scalable data-layer architectures across the GCP ecosystem is highly desirable. Data Warehouse & Data Modeling Strong understanding of: Data Warehouse Architecture Data Lake vs. Data Warehouse Star Schema Snowflake Schema Fact & Dimension Modeling ...
... cost-efficiency of production data infrastructure , with monitoring, alerting, and SLAs appropriate for a system that makes real-time risk decisions Collaborate with data science and ML teams to design feature stores and data pipelines that shorten the path from raw signal to deployed model Champion data engineering best practices, ...
... closely with data scientists, engineers, and product managers to understand data requirements. Provide regular updates on project progress, including metrics for dataset quality and completeness. Bachelors degree in Computer Science, Data Science, or a related field (or equivalent experience). Proven experience in data labelling, ...
... shape. Senior Data Scientist We have an opportunity for a Senior Data Scientist to join our Data Science team in Bangalore, reporting to the Senior Director, Data Science. In this pivotal role, you will drive advanced analytics and machine learning solutions that power our security, networking, and cloud data products. ...
... AI, AI safety, data privacy, and data security best practices. Experience with vector databases, embeddings, prompt engineering, and LLM evaluation frameworks. Data Science Leadership Machine Learning Generative AI & LLMs Natural Language Processing (NLP) MLOps & Model Deployment AI Strategy & Innovation Data-Driven Decision ...
... teams to integrate predictive models into live production environments, ensuring low-latency performance and high reliability.- Conduct deep-dive exploratory data analysis on large-scale financial datasets to uncover hidden patterns that drive product strategy and business growth.- Partner with stakeholders to define key ...
... technical and non-technical stakeholders. - Experience mentoring engineers and data scientists and providing technical leadership. - Bachelor's degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience. - Master's degree or PhD in Computer Science, Artificial Intelligence, ...
... ML, Google AI Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field. Minimum 8 years of experience in data science, analytics, or AI development. Strong understanding of machine learning algorithms, data pipelines, and MLOps. Excellent communication and storytelling ...
... (internship experience does not apply) Atleast 3 years of experience in building software solutions to problems in one of the Data Management areas listed below: Data Catalog / Metadata Store Access Control / Policy Enforcement Data Governance Data Lineage Data Monitoring and Alerting Data Scanning and Protection Atleast 3 ...
... business insights. Owning and leading projects that focus on data platform modernization, ensuring high performance, security, and scalability. Working on complex data engineering challenges that push the boundaries of cloud data infrastructure. A Bachelor's or Master's degree in Computer Science, Engineering, or a related technical ...
... transactional data. You will work closely with Data Engineering, Product, Technology, Analytics, and Business teams to turn complex business problems into scalable data science solutions. Mortgage domain experience is preferred but not required. We are equally interested in candidates with strong data science fundamentals who ...
... VM0042 and VMD0053, including the distinction between structural validation and project-specific back-modeling. - Production-grade Python, Git, and geospatial data handling — not notebook-only. - M.S. or Ph.D. in soil science, agronomy, biogeochemistry, environmental science, or a quantitative equivalent. Preferred - Prior ...
... semiconductor development flow, including design automation, process technology optimization, device modeling, design verification, manufacturing yield enhancement, test data analytics, and reliability prediction. Beyond traditional data science, you will apply cutting-edge AI/ML techniques combined with strong mathematical foundations ...
... in Python and related data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.). - Experience with Firebase, REST APIs, and cloud-based data integration. - Advanced skills in data visualization and BI tools (Looker Studio, Tableau, or Power BI). - Solid understanding of data architecture, data modeling, ...
... experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in data analysis, data science, statistics, or related field.