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principal data science engineer financial crimes

Fidelity Investments

<div><h3 class="jobSectionHeader"><b>Job Description:</b></h3><p><b>
Principal Data Science Engineer - Financial Crimes</b></p><p><b>
The Role</b>
</p><p><b>Financial Crimes Models &amp; Analytics </b>is seeking a <b>Principal Data Science Engineer </b>to lead the design, development, and optimization of our transaction monitoring surveillance models.
</p><p>You will partner with our Data Scientists, Business Intelligence analysts, Investigators, and Compliance professionals to translate regulatory requirements into scalable, rules based &amp; machine learning detection models. <b>This role requires a unique blend of banking, brokerage, anti-money laundering (AML) &amp; fraud knowledge, as well as data analysis, data engineering, and AI/ML expertise.
</b></p><p>If you&rsquo;re passionate about feature engineering, analytics, and machine learning to help fight financial crime, this is an excellent opportunity for you!
</p><p><b>The responsibilities of this role:</b></p><ul><li>
Collaborate with team members and compliance partners to understand<b> AML typologies</b> and <b>red flags</b> we must detect
</li><li>Assist in building detection models and features using <b>SQL, Python, DBT</b> (Data Build Tool), and <b>Snowflake</b>
</li><li>Develop detection models using both rules-based and machine learning algorithms on customer, account, and transaction data
</li><li>Apply machine learning and AI techniques to enhance suspicious activity detection by analyzing and identifying appropriate target data.
</li><li>Monitor and optimize model performance using proper ML Operations tools
</li><li>Help drive AI use cases for investigative workflows including integration in alert management systems, narrative generation, and straight through SAR filing
</li><li>Champion best practices for CI/CD, robust automated testing, model performance, and production monitoring
</li><li>Provide technical leadership, mentoring and training to other team members through code reviews, collaboration, and educational presentations
</li><li>Explore new technologies (e.g., anomaly detection, graph analytics, predictive modeling) and determine their applicability to the team&rsquo;s use cases; orchestrate the adoption of such technologies and trends where appropriate
</li></ul><p><b>The Expertise and Skills You Bring</b></p><p><b>
Required Qualifications</b>
</p><ul><li><b>Bachelor&rsquo;s degree in Computer Science </b>or equivalent technical discipline.
</li><li><b>6+ years</b> of experience in software or data engineering, including leading and delivering complex projects.
</li><li><b>Strong proficiency in Python </b>or at least one object-oriented programming language (e.g., Java) with a focus on writing clean, modular, and testable code.
</li><li>Strong experience querying <b>relational databases</b> (e.g., Oracle, Snowflake) and working with non-relational databases (e.g., MongoDB).
</li><li>Hands-on experience with <b>machine learning algorithms</b>, including decision trees, neural networks, regression models, clustering, and anomaly detection.
</li></ul><p><b>Preferred Skills</b>
</p><ul><li><b>Domain expertise</b>: Prior experience working with customer and transactional data in the fraud or AML space.
</li><li><b>Digital assets knowledge</b>: Understanding blockchain technologies; prior experience in cryptocurrency monitoring is a plus.
</li><li>Experience with <b>dbt (data build tool)</b> for data transformation and pipeline development.
</li><li>Prior experience developing solutions using <b>large language models (LLMs)</b>, including <b>Retrieval-Augmented Generation (RAG)</b> for information retrieval and workflow automation.
</li><li>Certifications such as CAMS (Certified Anti-money Laundering Specialist) or CFE (Certified Fraud Examiner) are desirable
</li></ul><p><b>The Team</b>
</p><p>Financial Crimes Models &amp; Analytics is made up of Data Scientists, Data Engineers, Business Intelligence, and Data Visualization analysts. Our team has broad responsibility for Fidelity Investments transaction monitoring across multiple business units, including Brokerage and Digital Assets. We leverage data to detect potential suspicious activity, customer behavior changes, and more.
</p><p>Coverage areas include insider trading, high risk money movement, customer behavior &amp; potentially suspicious transactional patterns, elder financial exploitation, low-priced securities, emerging risks, cryptocurrency transactions and many more.
</p>The base salary range for this position is $107,000-216,000 USD per year.
<p>Placement in the range will vary based on job responsibilities and scope, geographic location, candidate&rsquo;s relevant experience, and other factors.</p><p>
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
</p><p>We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.</p><p>
Please be advised that Fidelity&rsquo;s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.</p><p>
Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Please consult with your recruiter for the specific expectations for this position.</p><h3 class="jobSectionHeader"><b>
Certifications:</b></h3><h3 class="jobSectionHeader"><b>
Category:</b></h3>
Data Analytics and Insights</div>

Principal Data Science Engineer - Financial Crimes

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div><b>Must Have Technical/Functional Skills</b></div><br>
<div><br>
</div><div>Primary Skill: Python
</div><div>Secondary: Oracle PL/SQL, ETL
</div><div>Experience: Minimum 7 years</div><br>
<div><br>
</div><div><b>Roles &amp; Responsibilities</b></div><br>
<div><br>
</div><div>Bachelor&rsquo;s or master&rsquo;s degree in computer science or related field.</div><br>
<div><br>
</div><ul><li>Good hands-on years of experience in designing, building, and maintaining robust data pipelines using Python and SQL.
</li></ul><ul><li>Expert in writing complex SQLs
</li></ul><ul><li>Develop reusable scripts for data extraction from various structured and semi-structured file formats.
</li></ul><ul><li>Write optimized and scalable queries to retrieve, clean, and transform data for analytics and reporting.
</li></ul><ul><li>Integrate data from different sources, including APIs and multiple databases.
</li></ul><ul><li>Work closely with analysts, data scientists, and business stakeholders to deliver clean, reliable datasets for analysis.
</li></ul><ul><li>Document data workflows and ensure best practices in coding and version control.
</li></ul><ul><li>Good to have experience on Paginated Reports and Power BI issues, Power BI Development, enhancement, and Migration.
</li></ul><ul><li>Core Python: Expert-level proficiency in writing efficient, modular, and production-grade Python code for data extraction, transformation, and loading (ETL) processes.
</li></ul><ul><li>SQL &amp; Databases: Highly skilled in writing complex SQL queries, stored procedures, and optimizing database interactions. Hands-on experience connecting Python scripts with various relational databases (e.g., PostgreSQL, MySQL, SQL Server).
</li></ul><ul><li>Data Source Integration: Extensive experience working with diverse file-based data sources such as CSV, JSON, and Excel, including parsing, transforming, and integrating them into ETL pipelines.
</li></ul><ul><li>API &amp; DB Connectivity: Exposure to consuming REST APIs for data ingestion and integrating multiple database sources in a unified workflow.</li></ul><br>
<div><br>
</div><div><b>Additional Skills:</b>
</div><ul><li>Familiarity with version control (Git), basic shell scripting, and working knowledge of data validation and performance tuning.
</li></ul><ul><li>PBI Skills: Desirable to have skills on Power BI Development, enhancement and Migration.
</li></ul><ul><li>Make an impact &ndash; Drive change for global enterprises and solve business challenges that matter.</li></ul><br>
<div><br>
</div><div><b>TCS Employee Benefits Summary:</b>
</div><div>Discretionary Annual Incentive.
</div><div>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.
</div><div>Family Support: Maternal &amp; Parental Leaves.
</div><div>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.
</div><div>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.
</div><div>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.
</div><div>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.</div><br>
<div><br>
</div><div>Salary Range: $95,000 - $125,000 a year
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Jersey City, NJ</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>401056</div>
</div><div><div><b>Desired Skills</b></div>
<div>Python</div>
</div><div><div><b>Salary Range</b></div>
<div>$95,000-$125,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

Data Engineer

SynergisticIT

<div>
 <p>
  <strong>
   "Applied Everywhere? Still No Offers? Let&rsquo;s Provide the solution.&rdquo;
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  If you&rsquo;ve sent out hundreds&mdash;maybe thousands&mdash;of applications and your inbox is still silent, it doesn&rsquo;t mean you&rsquo;re not capable. It usually means your profile isn&rsquo;t lining up with how companies filter, shortlist, and interview candidates right now. In today&rsquo;s market, employers expect more than a degree or a few tutorial projects. They want candidates who look
  <strong>
   job-ready on paper
  </strong>
  , sound
  <strong>
   confident in interviews
  </strong>
  , and demonstrate
  <strong>
   hands-on ability
  </strong>
  in the tools teams actually use. That&rsquo;s exactly what SynergisticIT solves&mdash;because the real challenge isn&rsquo;t learning in isolation. The real challenge is translating learning into
  <strong>
   interviews and offers
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  Since
  <strong>
   2010
  </strong>
  , SynergisticIT has helped thousands of candidates secure full-time roles with leading companies and recognizable brands&mdash;think
  <strong>
   Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Walmart Labs, Citi, JPMC, Bank of America, Wayfair
  </strong>
  , and many more&mdash;often in the
  <strong>
   $95k to $154k
  </strong>
  offer range depending on role, location, and skillset. The purpose of SynergisticIT is simple:
  <strong>
   close the gap between what you know and what employers expect you to prove
  </strong>
  .
 </p>
 <p>
  Here&rsquo;s the truth employers hire based on whether you can handle real work&mdash;clean coding, debugging, teamwork workflows, version control, APIs, cloud basics, deployment pipelines, and the ability to explain what you did. That&rsquo;s why SynergisticIT emphasizes structured skill-building, project depth, resume positioning, interview readiness, and support through the job-search process.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What roles are in demand right now?
  </strong>
 </p>
 <p>
  A lot of jobseekers assume they must become &ldquo;AI experts&rdquo; overnight. Not true. Many companies are actively hiring professionals in core roles that run modern software teams. In JOPP, the demand typically includes roles such as
  <strong>
   entry-level software programmer
  </strong>
  ,
  <strong>
   Java full stack developer
  </strong>
  ,
  <strong>
   Python/Java developer
  </strong>
  ,
  <strong>
   data analyst
  </strong>
  ,
  <strong>
   data engineer
  </strong>
  ,
  <strong>
   data scientist
  </strong>
  , and
  <strong>
   machine learning/AI engineer
  </strong>
  . In other words, SynergisticIT focuses on building candidates across
  <strong>
   Java / Full Stack / DevOps
  </strong>
  and
  <strong>
   Data Analytics / Data Engineering / Data Science / ML/AI
  </strong>
  based on what employers repeatedly request.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Who benefits most from this model?
  </strong>
 </p>
 <p>
  If you&rsquo;re applying and not seeing results, you&rsquo;re likely in one of these situations:
 </p>
 <ul>
  <li>
   You have skills, but your resume doesn&rsquo;t show impact and your projects look generic
  </li>
  <li>
   You know tools, but you can&rsquo;t explain them confidently in interviews
  </li>
  <li>
   You&rsquo;ve learned from courses, but you lack real-world structure and job alignment
  </li>
  <li>
   You&rsquo;ve built a portfolio, but it doesn&rsquo;t match what hiring managers evaluate
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    What Recruiters Look for in Junior Developers | SynergisticIT
   </strong>
  </li>
  <li>
   <strong>
    Software engineering or Data Science as a career?
   </strong>
  </li>
  <li>
   <strong>
    How OPT Students Can Land Tech Jobs &ndash; SynergisticIT
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  SynergisticIT works especially well for candidates such as: recent grads in
  <strong>
   CS/Engineering/Math/Stats
  </strong>
  , jobseekers who were
  <strong>
   laid off
  </strong>
  and need an updated stack, career switchers who want a guided plan, candidates with
  <strong>
   career gaps
  </strong>
  , people with &ldquo;learning but not hired&rdquo; bootcamp history, experienced professionals not landing interviews, and international candidates on
  <strong>
   F1/OPT
  </strong>
  needing a clear employment pathway. SynergisticIT also supports candidates with guidance around
  <strong>
   STEM extension
  </strong>
  and provides process support for
  <strong>
   H-1B and Green Card filing
  </strong>
  once employed (as applicable through employers and standard processes).
 </p>
 <p>
  <br/>
 </p>
 <p>
  If you want to explore, here are the key links:
 </p>
 <ul>
  <li>
   <strong>
    Event videos (OCW, JavaOne, Gartner):
   </strong>
  </li>
  <li>
   <strong>
    USA Today feature
   </strong>
  </li>
  <li>
   <strong>
    Contact Us:
   </strong>
   https://www.synergisticit.com/contact-us/
  </li>
 </ul>
 <p>
  You don&rsquo;t need more random applications. You need a job-ready plan.
  <strong>
   Start smarter&mdash;start with the right support.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
   </em>
  </strong>
 </p>
 <p>
  <strong>
   <em>
    <u>
     Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don&rsquo;t want to be contacted please don&rsquo;t submit your resume.
    </u>
   </em>
  </strong>
 </p>
 <p>
 </p>
</div>


entry level data scientist/ Junior java developer

Realign

<div>Jersey City, New Jersey 07030 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Role: Hadoop PySpark, Python, Apache Kafka</b></div><div><b>
Location: Charlotte, NC / New York, NY/ Dallas, TX / Jersey City, NJ</b></div><div><b>
FTE only</b></div><div></div><div><b><br>
Job Description</b></div><div><b>
Must Have Technical/Functional Skills</b></div><div></div><div><b><br>
Primary Skill: Hadoop ecosystem (HDFS, Hive, Spark), PySpark, Python, Apache Kafka</b></div><div><b>
Secondary: UI &ndash; Angular.</b></div><div><b>
Experience: Minimum 9 years</b></div><div></div><div><b><br>
Roles &amp; Responsibilities</b></div><div></div><div><b><br>
Architectural Leadership:</b></div><div>
? Define end-to-end architecture for data platforms, streaming systems, and web applications.</div><div>
? Ensure alignment with enterprise standards, security, and compliance requirements.</div><div>
? Evaluate emerging technologies and recommend adoption strategies.</div><div></div><div><b><br>
Data Engineering :</b></div><div>
? Design and implement data ingestion, transformation, and processing pipelines using Hadoop, PySpark, and related tools.</div><div>
? Optimize ETL workflows for large-scale datasets and real-time streaming.</div><div>
? Integrate Apache Kafka for event-driven architectures and messaging.</div><div></div><div><b><br>
Application Development :</b></div><div>
? Build and maintain backend services using Python and microservices architecture.</div><div>
? Develop responsive, dynamic front-end applications using Angular.</div><div>
? Implement RESTful APIs and ensure seamless integration between components.</div><div></div><div><b><br>
Collaboration &amp; Leadership:</b></div><div>
? Work closely with product owners, business analysts, and DevOps teams.</div><div>
? Mentor junior developers and data engineers.</div><div>
? Participate in agile ceremonies, code reviews, and design discussions.</div><div></div><div><b><br>
Required Skills &amp; Qualifications:</b></div><div></div><div><b><br>
Technical Expertise:</b></div><div>
? Strong experience with Hadoop ecosystem (HDFS, Hive, Spark).</div><div>
? Proficiency in PySpark for distributed data processing.</div><div>
? Advanced programming skills in Python.</div><div>
? Hands-on experience with Apache Kafka for real-time streaming.</div><div>
? Frontend development using Angular (TypeScript, HTML, CSS).</div><div></div><div><b><br>
Architectural Skills:</b></div><div>
? Expertise in designing scalable, secure, and high-performance systems.</div><div>
? Familiarity with microservices, API design, and cloud-native architectures.</div><div></div><div><b><br>
Additional Skills:</b></div><div>
? Knowledge of CI/CD pipelines, containerization (Docker/Kubernetes).</div><div>
? Exposure to cloud platforms (AWS, Azure, GCP).</div><div></div><div><b><br>
Education:</b></div><div>
? Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related field.</div><div></div><div><b><br>
Experience:</b></div><div>
? 9+ years in software development, with at least 4 + years in architecture and Big Data technologies.</div><div></div><div><b><br>
Preferred Qualifications:</b></div><div>
? BFSI domain experience or large-scale enterprise systems.</div><div>
? Understanding of data governance, security, and compliance standards.</div><div></div><div><b><br>
Soft Skills:</b></div><div>
? Strong analytical and problem-solving abilities.</div><div>
? Excellent communication and leadership skills.</div><p>
? Ability to thrive in a fast-paced, agile environment.</p><p></p>
<p>Required Skills</p>
<p>DATA / PYTHON ENGINEER</p> <p>PYTHON / DEVOPS ENGINEER</p></div>

Hadoop PySpark, Python, Apache Kafka-6

Tiger Analytics

<div><p>Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.</p><p>
We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization.</p><b><br>
Requirements</b><p><b><br>
Key Responsibilities</b></p><ul><li>
Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.</li><li>
Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics, reporting, and AI-driven use cases.</li><li>
Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring.</li><li>
Support data preparation and ingestion for AI/ML and Generative AI workloads, including handling structured and unstructured datasets.</li><li>
Enable data pipelines that support LLM-based applications, vector embeddings, and knowledge retrieval systems.</li><li>
Lead the migration of legacy data systems to modern cloud-based data architectures.</li><li>
Develop and maintain CI/CD pipelines for data workflows and platform automation.</li><li>
Collaborate with data scientists, ML engineers, and AI teams to ensure data availability for model training, inference, and GenAI applications.</li><li>
Optimize data pipelines for performance, reliability, scalability, and cost-effectiveness using AWS best practices.</li></ul><p><b>
Required Skills</b></p><ul><li>
8+ years experience as a Data Engineer working with AWS cloud services.</li><li>
Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, and related data platform tools.</li><li>
Experience building data pipelines using Databricks, Apache Spark, and SQL.</li><li>
Experience with Apache Airflow for workflow orchestration.</li><li>
Strong understanding of data modeling, data lake/lakehouse architectures, and ETL/ELT frameworks.</li><li>
Experience with CI/CD pipelines and version control systems (Git).</li><li>
Exposure to Generative AI or LLM-based applications.</li><li>
Experience supporting data pipelines for AI/ML workloads.</li><li>
Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures.</li><li>
Experience working with LLM APIs or AI frameworks such as LangChain.</li><li>
Understanding of MLOps workflows and model deployment pipelines.</li></ul><br>
<b>
Benefits</b><p><br>
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.</p><p></p><p><b><i>
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.</i></b></p></div><p></p>

Senior Data Engineer

Derex Technologies inc

<div><b>Company Description</b><p><br>
Derex Technologies Inc specializes in providing IT consulting, staffing solutions and software services. Globally headquartered in Harrison New Jersey since 1996 Derex delivers the highest quality technology professionals and an array of customized IT talent solutions designed to improve productivity and drive results to global clients throughout North America.</p><p>
With over two decades of unparalleled experience, Derex provides supports to its clientele, across such industries as Systems Integration, Banking and Finance, Telecommunications, Pharmaceutical and Life Sciences, Energy, Healthcare, Technology, Transportation, and local and federal Government agencies.</p><b><br>
Job Description</b><p><b><br>
Role: Databricks Data Engineer</b></p><p><b>
Location: NJ/ PA onsite
</b></p><p><b>About the job</b></p><p>
We are seeking a Databricks Data Engineer with experience in designing and developing data pipelines using Azure Databricks, Data Factory, and Datalake. The role involves managing large volumes of data, building complex ETL solutions, and working closely with business teams to deliver robust data transformations and analytics solutions.</p><p></p><p><b><br>
Responsibilities:</b></p><ul><li>
Design and develop ETL pipelines using ADF for data ingestion and transformation.</li><li>
Collaborate with Azure stack modules like Data Lakes and SQL DW to build robust data solutions.</li><li>
Write SQL, Python, and PySpark code for efficient data processing and transformation.</li><li>
Understand and translate business requirements into technical designs.</li><li>
Develop mapping documents and transformation rules as per project scope.</li><li>
Communicate project status with stakeholders, ensuring smooth project execution.</li></ul><p><b>
Requirements Must have:</b></p><ul><li>
10-12 years of experience in data ingestion, data processing, and analytical pipelines for big data and relational databases.</li><li>
Hands-on experience with Azure services: ADLS, Azure Databricks, Data Factory, Synapse, Azure SQL DB.</li><li>
Experience in SQL, Python, and PySpark for data transformation and processing.</li><li>
Familiarity with DevOps and CI/CD deployments.</li><li>
Strong communication skills and attention to detail in high-pressure situations.</li><li>
Experience in the insurance or financial industry is preferred.</li></ul><p></p><p><b><br>
Regards,</b></p><p></p><p><b><br>
Manoj</b></p><p><b>
Derex Technologies INC</b></p><p><b>
Contact : </b><b>973-834-5005 </b><b>Ext 206</b></p><b><br>
Additional Information</b><p><br>
All your information will be kept confidential according to EEO guidelines.</p></div>

Databricks Data Engineer

Chubb Insurance

<div><p>As an AI Engineer Intern, you'll join a global team of engineers and product professionals working on AI-enabled digital solutions transforming P&amp;C insurance. This internship provides hands-on exposure to three core disciplines: applied AI/ML, production AI/LLM systems engineering, and agentic AI systems. You'll contribute to real projects across the AI product lifecycle, from model experimentation to production support, while learning from experienced engineers in a fast-paced enterprise environment. This position offers a unique opportunity to gain hands-on experience building production AI systems at enterprise scale while contributing to Chubb's AI-driven transformation.
</p><p>We expect our AI engineers to be AI-native in how they work. You should be comfortable using AI-powered coding tools (e.g., GitHub Copilot, Cursor, Claude Code) and agentic development environments to accelerate your workflow, debug problems, and explore solutions.
</p><p><b>Key Responsibilities
</b></p><p><b>Applied AI/ML
</b></p><ul><li>Assist AI engineers in building and testing ML/AI solutions for business challenges in cloud environments
</li><li>Support experimentation with LLM techniques including prompt engineering, fine-tuning workflows, and evaluation methods
</li><li>Help curate and prepare datasets for model training and evaluation
</li><li>Write and maintain Python scripts for data processing, model inference, and pipeline automation
</li></ul><p><b>Production AI Systems
</b></p><ul><li>Contribute to building and testing AI service components including APIs, inference pipelines, and integration layers
</li><li>Assist with prompt management, versioning, and testing workflows
</li><li>Support documentation and testing of AI system integrations
</li><li>Learn production engineering practices including containerization (Docker), version control, and CI/CD workflows
</li></ul><p><b>Agentic AI Systems
</b></p><ul><li>Explore agentic AI frameworks (e.g., LangChain, CrewAI, AutoGen) through guided prototyping projects
</li><li>Assist in testing agent behaviors, tool integrations, and multi-step workflows
</li><li>Support evaluation and observability efforts including prompt tracing and performance logging
</li><li>Document findings and contribute to internal knowledge sharing.
</li></ul><p><b>General Engineering Practices
</b></p><ul><li>Write clean, well-documented code following team standards and guidelines
</li><li>Participate in code reviews (as reviewer and reviewee) to develop engineering judgment
</li><li>Communicate progress, blockers, and learnings clearly to mentor and team
</li><li>Complete a capstone project demonstrating skills developed during the internship</li></ul></div>
<br><div><ul><li>Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related technical field
</li><li>Proficiency in Python programming (coursework, personal projects, or prior internship experience)
</li><li>Foundational understanding of machine learning concepts (supervised/unsupervised learning, neural networks, model evaluation)
</li><li>Familiarity with version control systems (Git)
</li><li>Comfortable using AI-powered coding assistants (e.g., GitHub Copilot, Cursor, Claude) as part of your development workflow
</li><li>Strong problem-solving skills and attention to detail
</li><li>Intellectual curiosity and eagerness to learn in a fast-paced environment
</li></ul><p><b>Preferred
</b></p>Exposure to ML frameworks and libraries (PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn)<br>
<ul><li>
</li></ul><p></p><p>The pay range for the role is $20/hr. - $24/hr. The specific offer will depend on an applicant&rsquo;s skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website . The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.</p></div>
<br><div><div>Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.<br>
</div><div></div><br>
<div>At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.</div></div>

AI Engineer Intern

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