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Role Purpose The Assistant Manager – AI & Machine Learning will support the development of advanced analytics and AI-driven solutions to enhance digital banking performance, customer engagement, and marketing…
Senior Data Scientist builds and refactors optimization algorithms in Python to improve supply-chain pricing, inventory, and allocation for retail/CPG clients using OR tools and predictive models.
Build and deploy AI/ML models for clients, from data prep to production, while collaborating with engineers and stakeholders to optimize business processes.
ERP Business Analyst translates Army logistics needs into data-driven solutions, ensuring ERP systems like GCSS-Army and LMP run smoothly while maintaining data quality and compliance.
Build real-time data services that power AI-driven advertising at Amazon, including streaming pipelines, advertiser profiles, and authorization layers for Sponsored Ads and DSP.
Build and maintain data pipelines using Databricks, PySpark, and Python to process and transform healthcare data for analytics and ML.
Build and optimize large-scale data pipelines and frameworks for Amgen’s R&D systems using PySpark, Databricks, AWS, and SQL to enable self-service analytics and AI-driven insights.
Build and optimize scalable data pipelines and generative-AI systems for Amgen’s manufacturing knowledge layers, using PySpark, Databricks, vector stores, and LLMs.
Build and lead enterprise software solutions using React, FastAPI, Python, and AWS, integrating AI/ML and DevSecOps practices for a global biotech company.
Translate manufacturing and data needs into clear requirements for analytics and reporting systems, working with SMEs and delivery teams to define user stories, KPIs, and test scenarios in an Agile environment.
Build and maintain high-volume data pipelines between Snowflake and Databricks using PySpark and dbt, then deploy ML models on OpenShift with MLOps tooling like MLflow and Airflow.
Build and deploy cloud-native AI data pipelines, vector databases, and LLM-powered systems to support federal missions like defense and healthcare.
Build, maintain, and scale enterprise web apps and services using Java, Spring, JavaScript, and databases for a global fintech data provider.
Build and maintain production MLOps frameworks and pipelines in Python for enterprise-scale machine learning systems at a major bank.
Build and maintain scalable data pipelines in Palantir Foundry using Python, PySpark, and TypeScript to transform public health data into dashboards and insights for government clients.
Designs, deploys and optimizes cloud data platforms and AI solutions for customers, using OCI/AWS/Azure, Spark, Kubernetes and generative AI tools.
About us: Artic Consulting is a dynamic IT and consulting services firm, delivering digital transformation through innovative solutions in data, cloud, and business analytics. We are seeking a skilled Data Engineer…
Build and optimize ETL pipelines and dashboards for Citi’s internal reporting framework using PySpark, Databricks, and Snowflake to automate billing and deliver business insights.
Build and deploy ML forecasting models (Prophet, ARIMA, LSTM) to predict clinic usage and staffing needs for a UK healthcare network, using Python, PySpark, and cloud tools.
Full-stack developer building backend services and middleware with Solr/Elasticsearch, big-data tools (Hadoop, PySpark), and Java.
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