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The MLOps Engineer will design and implement automated pipelines for model deployment, monitoring, and retraining within Data Science projects. The role requires expertise in cloud-based ML platforms, CI/CD/CT practices, and container orchestration using tools like Kubernetes, AWS SageMaker, and Kubeflow.
Role \: AIML Data Science Location\: Pan India Experience\: 6 to 15 Years Notice Period\: Immediate to 90 days Mode of Interview\: In Person Job Description\: 1. Be a hands on problem solver with consultative approach,…
Sr. Consultant Machine Learning & Knowledge Graph Engineer Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive…
Data Engineer (AWS) - Manchester (Data Engineer, Senior Data Engineer, ETL, AWS, AWS Glue, AWS Lambda, AWS S3, AWS Redshift, Amazon EMR, Python, SQL, Pipeline Orchestration, PySpark, data warehousing, data lakehouse,…
Senior Data Engineer (AWS) - Manchester (Senior Data Engineer, Lead Data Engineer, Data Engineer, ETL, AWS, AWS Glue, AWS Lambda, AWS S3, AWS Redshift, Amazon EMR, Python, SQL, Pipeline Orchestration, PySpark, data…
The Azure Databricks Platform Engineer will design, deploy, and manage cloud-native data platform solutions using Azure Databricks, Python, and Spark. This role focuses on building resilient data pipelines, ensuring platform security, and supporting data modeling within a large-scale fintech environment.
The Director of Enterprise Data & Analytics Architect will lead the design and scaling of Lilly's AWS-based data and AI platform, focusing on Databricks Lakehouse architectures to support commercial analytics and AI/ML initiatives. This role involves defining data strategy, ensuring governance compliance, and collaborating with cross-functional teams to operationalize data products and GenAI solut
The Advisor AI/ML Engineer will design enterprise AI blueprints, lead applied research in LLMs and agentic systems, and manage MLOps pipelines for Lilly's commercial technology team. The role involves mentoring engineers and bridging cutting-edge AI research with scalable business outcomes using AWS, Azure, and Databricks.
The Associate Architect will design and implement data pipelines and hybrid data solutions on Azure, utilizing technologies like Spark, Databricks, and Snowflake. The role involves building ML workflows, managing data migrations, and collaborating with cross-functional teams to modernize data architectures.
The Director of Enterprise Data & Analytics Architecture will lead the design and scaling of Lilly USA's commercial data and AI platforms using AWS and Databricks. This role involves defining data strategy, implementing modern data architectures like Data Mesh and Lakehouse, and collaborating with cross-functional teams to operationalize AI/ML models for commercial intelligence.
The Advisor AI/ML Engineer will define enterprise AI blueprints and lead the development of LLM-based solutions and MLOps pipelines for commercial applications. This hands-on role involves mentoring engineers and bridging cutting-edge AI research with business outcomes using technologies like Python, PySpark, AWS, Azure, and Databricks.
The Senior Data Engineer will build and evolve a strategic Research data platform using Databricks, Azure, and Spark to support analytics and AI initiatives. This role involves designing scalable data pipelines, implementing data governance, and coordinating with global teams to deliver enterprise-grade data products.
This Senior Associate role at PwC involves developing and deploying AI and machine learning solutions, including GenAI and statistical models, within the Palantir Foundry platform to support risk management and regulatory compliance for clients. The position requires expertise in data engineering, model development, and cross-functional collaboration to deliver scalable analytical workflows.
This Senior Associate role at PwC involves developing automation scripts and data transformation solutions using Python, Pandas, and NumPy. The position focuses on building data workflows and integrating REST APIs to support business intelligence and analytics initiatives.
Contract Senior Data Engineer building scalable big data pipelines and entity resolution solutions with Quantexa for a data consultancy's client engagements, using Spark, Python/Scala, and cloud platforms.
Build and ship AI agents and LLM-powered services on Databricks and Azure, automating workflows in contracting, commissions, and distribution operations for an insurance company.
Leads Azure Synapse Analytics migrations to Microsoft Fabric, designing data pipelines, optimizing performance, and ensuring governance across cloud-based data solutions.
In this AVP-level role, you will be responsible for designing, implementing, and maintaining automated testing frameworks for AI systems. You will validate model accuracy, data pipelines, and software integrations to…
Design, build, and optimize enterprise ETL/ELT pipelines using SSIS, Informatica PowerCenter, and Python to move and transform financial data across on-prem and cloud systems.
Azure Data Engineer designing scalable data pipelines, building RESTful APIs for data integration, and managing containerized workloads on Kubernetes (AKS) using Azure Data Factory, Databricks, Synapse, and CI/CD practices.
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