About Quadratyx We are a productcentric insight automation services company globally We help the worlds organizations make better faster decisions using the power of insight intelligent automation We build and operationalize their nextgen strategy through Big Data Artificial Intelligence Machine Learning Unstructured Data Processing and Advanced Analytics Quadratyx can boast of more extensive experience in data sciences analytics than most other companies in India We firmly believe in Excellence Everywhere Gen AI ML Data Scientist Job Role Information Designation Gen AI ML Data Scientist Experience 5 Years Function AI Data Science Enterprise Delivery Employment Type FullTime Location Mumbai Role Summary You will own the endtoend delivery of ML and datadriven capabilities for clientsturning business needs into productiongrade data pipelines deployed models recommendation NLP GenAI and measurable outcomes This is a builder owner role you will be accountable for technical delivery operational reliability and proactive stakeholder expectation management Job Description Core responsibilities deliveryoriented Own the endtoend delivery of productiongrade ML systems for recommendations NLP and personalizationdriving outcomes from problem definition and metric design to deployment monitoring and continuous improvement based on realworld impact Take full ownership of scalable data pipelines Architect build and operate robust ETL ELT systems that transform disparate data sources into highquality analytics and MLready datasets ensuring reliability for businesscritical decisions Establish and enforce data architecture standards Design scalable storage patterns for analytics and ML including data lake implementations with strict governance on partitioning schema evolution file optimization and efficient use of columnar formats such as Parquet Drive MLOps as a discipline not an afterthought Build and institutionalize CI CDaligned ML workflows including automated testing reproducibility deployment infrastructure and monitoringensuring models operate reliably in production environments Deliver productionready systems not prototypes Expose model and data capabilities through versioned APIs and services aligned with microservices architecture enabling seamless integration into realworld applications Own stakeholder outcomes and client success Lead problem discovery define scope and constraints translate business needs into scalable technical solutions and proactively manage expectations through clear communication risk mitigation and measurable success criteria Working Relationships Reporting to Project Manager Musthave Experience Endtoend ownership of at least one production ML deliverable recommender NLP personalization segmentation or GenAI feature including how it was evaluated and what changed after launch Handson experience in developing and deploying Computer Vision Image Recognition solutions e g image classification object detection OCR image segmentation or multimodal vision models using frameworks such as OpenCV PyTorch TensorFlow YOLO or Hugging Face Vision models in production environments Handson delivery of scalable data pipelines including concrete scale complexity details volumes SLAs latency freshness targets backfill strategy failure handling Production software practices testing discipline CI CD usage API design operational monitoring and incident learnings relevant to data ML services Clientfacing delivery examples where they translated business requirements into technical plans handled scope changes and aligned stakeholders on measurable success criteria Practical datalake experience design choices columnar formats like Parquet ORC query performance or cost tradeoffs Soft Skills Experience Qualifications Required Educational Qualification Relevant experience Operate effectively in both independent and team-oriented environments taking ownership of outcomes without dependency on constant direction Exhibit strong written and verbal communication skills with the ability to articulate complex ideas clearly to both technical and nontechnical stakeholders Demonstrate sharp critical thinking and structured problemsolving abilities with a questioning mindset that challenges assumptions and drives better decisions Show a high degree of ownership and adaptability proactively stepping in to address gaps rather than deferring responsibility Communicate insights with clarity and impact especially when translating data into actionable business recommendations Thrive in fastpaced environments balancing flexibility with a solutionoriented executionfocused approach Bachelors degree in computer science Data Analytics Engineering or a related discipline 46 years of handson experience in building and

📌 Gen AI ML Data Scientist (Mumbai)
🏢 quadratyx
📍 Mumbai