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Associate Azure Databricks Jobs in Illinois (NOW HIRING)

As a Senior Associate Applied AI/ML Scientist within our payment solutions team, you will be ... Cloud computing: â¯Amazon Web Service, Azure, Docker, Kubernetes, DataBricks, Snowflakes.

... Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and ...

... Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and ...

... Databricks, or similar) * 5+ years building ETL/ELT pipelines (batch or streaming) from files ... Azure, AWS, or GCP) and DevOps practices * Comfort integrating systems via REST APIs * BA/BS in ...

Data Governance- Manager

Chicago, IL · On-site

$99K - $232K/yr

... Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data ... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks ...

... Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data ... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks ...

Data Strategy-Manager

Rosemont, IL · On-site

$99K - $232K/yr

... Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data ... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks ...

Data Strategy-Manager

Chicago, IL · On-site

$99K - $232K/yr

... Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data ... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks ...

Showing results 41-60

Associate Azure Databricks information

What is an Associate Azure Databricks?

An Associate Azure Databricks is a professional who works with the Azure Databricks platform, which is a cloud-based analytics service designed for big data and machine learning. Individuals in this role typically assist in building, managing, and optimizing data pipelines and analytics solutions using Apache Spark on Azure. They often support data engineering and data science teams by preparing data, managing clusters, and ensuring smooth data workflows. This position is ideal for those who have foundational knowledge of cloud computing, data engineering, and analytics.

What are some typical challenges faced by an Associate Azure Databricks, and how can newcomers prepare for them?

As an Associate Azure Databricks, you may encounter challenges such as integrating Databricks with existing data infrastructure, managing large-scale data pipelines, and optimizing Spark workloads for performance and cost. Newcomers can prepare by familiarizing themselves with Spark fundamentals, Azure services, and best practices in data engineering. Collaborating closely with data engineers, architects, and analysts is also key to understanding business requirements and ensuring seamless data workflows.

What are the key skills and qualifications needed to thrive as an Associate Azure Databricks?

To thrive as an Associate Azure Databricks, you need a solid understanding of data engineering fundamentals, cloud computing, and proficiency in SQL, Python, or Scala, often supported by a relevant degree or certification. Familiarity with Azure cloud services, Databricks platform tools, and data integration systems like Apache Spark is typically required. Strong problem-solving, communication, and teamwork skills help you collaborate effectively with data scientists and business stakeholders. These skills are crucial for efficiently managing data workflows, ensuring data quality, and delivering actionable insights in a cloud-based analytics environment.

What is the difference between Associate Azure Databricks vs Data Engineer?

AspectAssociate Azure DatabricksData Engineer
Required CertificationsAzure Data Engineer Associate, Databricks certificationsAzure Data Engineer, cloud platform certifications
Work EnvironmentCollaborates with data scientists and analysts on cloud platformsBuilds and maintains data pipelines and infrastructure
Industry UsageUsed in analytics, AI, and data science projects within cloud environmentsUsed across industries for data integration, ETL, and big data processing

The Associate Azure Databricks role focuses on supporting data analytics and machine learning projects using Databricks on Azure, often working under supervision. In contrast, Data Engineers design and develop data pipelines and infrastructure, with a broader scope in data management. Both roles require similar certifications and work in cloud-based environments, but their responsibilities differ in scope and focus.

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Applied AI/ML Senior Associate

J.P. Morgan

Chicago, IL

$60K - $61K/yr

Full-time

Medical, Retirement

Re-posted 7 days ago


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

As part of the Commercial & Investment Bank, J.P. Morgan Payments enables organizations of all sizes to execute transactions efficiently and securely, transforming the movement of information, money and assets. We tackle complex challenges at every stage of the payment lifecycle and our industry-leading solutions facilitate seamless transactions across borders, industries and platforms.  Operating in over 160 countries and handling more than 120 currencies, we are the largest processor of USD payments, with a daily transaction volume of $10 trillion.

As a Senior Associate Applied AI/ML Scientist within our payment solutions team, you will be instrumental in utilizing artificial intelligence and machine learning technologies to augment our services and stimulate business expansion. Your role will involve researching, experimenting, developing, and implementing high-quality machine learning models, services, and platforms to streamline payment processes, bolster fraud detection, and enrich customer experience. You will also be tasked with designing and executing highly scalable and dependable data processing pipelines, conducting analysis, and deriving insights to boost and optimize business outcomes. Collaborating with cross-functional teams to pinpoint opportunities for AI/ML applications within the payment's ecosystem will also be a part of your responsibilities. 

Job Responsibilities: 

  • Actively collaborate with Product, Technology, and other cross-functional teams to gain a deep understanding of complex business problems and formulate data-driven solutions to address these challenges in key areas of the payments' domain. 
  • â¯Design, develop, and deploy agentic systems using Large Language Models (LLM), machine learning and other AI solutions that meet success metrics aligned with business goals, while considering constraints such as model complexity, scalability, and latency. 
  • Partner with Risk and Compliance teams to ensure comprehensive model documentation, track performance metrics, and maintain adherence to regulatory compliance standards. 
  • â¯Translate model outcomes into business impact metrics and communicate complex concepts to senior management and stakeholders. 

Required qualifications, capabilities, and skills: 

  • Master's degree in a quantitative discipline (e.g., Computer Science, Data Science, Mathematics/Statistics, or Operations Research) with a minimum of 3 years of industry experience. Experience with Shell Scripting, Jupyter notebook/Lab, SQL, PySpark, and AWS Cloud Services is required. 
  • Proficient in Python with hands-on experience in Machine learning and Deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., NumPy, Scikit-Learn, Pandas). Experience with Jupyter Notebook/Lab is essential. 
  • Extensive knowledge in the design and development of agentic systems and the tooling ecosystem such as LangChain, LangGraph, Model Context Protocol (MCP), DSPy, etc.   
  • Solid Understanding of algorithms in machine learning, AI, and neural network, including Large Language Models (LLM) and Generative AI as well as familiarity with state-of-the-art practices and advancements in these domains. 
  • Ability to set the analytical direction for projects, transforming vague business questions into structured analytical plans. You possess strong cognitive and communication skills, characterized by clear and articulate expression. You excel at identifying core issues, bringing order to chaos, synthesizing insights, and driving decisive outcomes. 
  • â¯Extensive experience in Natural Language Processing (NLP) or Large Language Models (LLM),or Computer Vision and other machine learning techniques, including classification, regression algorithms. 

Preferred Qualifications, capabilities and skills 

  • Experience in the financial services industry, particularly within investment banking operations. 
  • Cloud computing: â¯Amazon Web Service, Azure, Docker, Kubernetes, DataBricks, Snowflakes. 
  • Familiarity with inference-time algorithms such as Chain of Thought and sampling, etc. 

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

ABOUT THE TEAM

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.