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analyst - data governance & management Jobs in New York

analyst - data governance & management

business intelligence developer Jobs in New York

business intelligence developer

cloud engineer (aws)

data engineer (ai/ml)

data engineer

Capgemini

<div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
</p><div><div><div><h2 class="jobSectionHeader"><b>Job Description
</b></h2></div><div><ul><li>We are seeking a seasoned Data Engineer with 7+ years of experience in developing and deploying machine learning solutions. The ideal candidate should have hands-on expertise in MLOps (at least two end-to-end production deployments), solution architecture, and experience with one major cloud platform (AWS,
</li><li>Azure, or GCP) is an added advantage. Strong skills in Python, SQL, PySpark, Generative AI (GenAI), and NLP are required.
<br>
<br>
<b>Key Responsibilities
</b></li><li>Develop and deploy scalable ML/AI solutions, including MLOps pipelines for CI/CD, model monitoring, and governance.
</li><li>Lead the design and development of GenAI and NLP solutions for applications such as text summarization, conversational AI, and entity recognition.
</li><li>Build and optimize data pipelines using PySpark and SQL for large-scale data processing.
<br>
scalable ML development and deployment
</li><li>Collaborate with stakeholders to align AI initiatives with business goals and mentor junior team members.
<br>
<br>
<b>Qualifications &amp; Skills
</b></li><li>Bachelors degree with exp in Data, AI, ML
</li><li>Programming: Python (Pandas, NumPy, PyTorch, TensorFlow), SQL.
</li><li>MLOps: Experience with tools like MLflow, Kubeflow, Docker, Kubernetes, and CI/CD pipelines.
</li><li>Generative AI &amp; NLP: Expertise in transformer models (e.g., GPT, BERT), Hugging Face, and LangChain.
</li><li>Data Engineering: Proficient in PySpark and distributed data processing.
</li><li>Cloud Platforms: Proven experience with one major cloud platform (AWS, Azure, or GCP) is an added advantage&quot;
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>Life at Capgemini
</b></h2></div><div><p>Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
<br>
Flexible work
<br>
Healthcare including dental, vision, mental health, and well-being programs
<br>
Financial well-being programs such as 401(k) and Employee Share Ownership Plan
<br>
Paid time off and paid holidays
<br>
Paid parental leave
<br>
Family building benefits like adoption assistance, surrogacy, and cryopreservation
<br>
Social well-being benefits like subsidized back-up child/elder care and tutoring
<br>
Mentoring, coaching and learning programs
<br>
Employee Resource Groups
<br>
Disaster Relief
</p></div></div><div><div><h2 class="jobSectionHeader"><b>Disclaimer
</b></h2></div><div><p>Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
</p><p>This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
</p><p>Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please get in touch with your recruiting contact.
</p><p>Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
</p></div></div><div><div><h2 class="jobSectionHeader"><b>Salary Transparency Disclaimer
</b></h2></div><div><p>Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $110841 to $145000/yearly.
</p><p>This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
</p><p>Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.
<br>
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of &euro;22.5 billion.
</p></div></div></div><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div>

Data Engineer (AI/ML)

American Express

<div><p>At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
</p><p>Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
</p><p><b>How will you make an impact in this role?
</b></p><p><b>Responsibilities:
</b></p><ul><li>Work with cross-functional teams, fostering a culture of technical excellence, collaboration, and innovation.
</li><li>Lead and collaborate within Agile teams to deliver chatbot-related data features, support business and product changes, and drive sprint prioritization.
</li><li>Stay current with emerging database technologies, big data platforms, and AI/ML capabilities&mdash;driving adoption of best practices across the organization.
</li><li>Convert logical chatbot data architectures into robust physical designs; develop and test database solutions supporting natural language processing and chatbot intent systems.
</li><li>Administer and optimize databases, data warehouses, and datamarts to ensure performance, scalability, and reliability.
</li><li>Diagnose and resolve chatbot data performance issues&mdash;ensuring optimal replication, high availability, and effective analytical strategies.
</li><li>Develop and enforce standards for chatbot data management, security, and governance, while contributing to tooling and methodology decisions.
</li><li>Enhance Big Data strategies by designing advanced indexing, partitioning, and query optimization solutions to support real-time chatbot decision making.
</li><li>Partner with product and business teams to align chatbot engineering solutions with enterprise objectives and customer experience goals.
</li></ul><p><b>Education &amp; Knowledge:
</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Computer Engineering, or related field (or equal experience).
</li><li>Strong knowledge of <b>Big Data / NoSQL design and development </b>(document, column family, graph data stores).
</li><li>Deep understanding of <b>database management systems </b>: storage formats, replication, encryption, performance tuning, and high availability.
</li><li>Proficiency with <b>distributed systems, algorithms, and both relational &amp; non-relational databases </b>.
</li><li><p>Familiarity with <b>machine learning, AI </b>, relational database systems, and open-source data technologies.<br>
</p></li></ul><p></p><p><b>Experience:
</b></p><ul><li>Proven experience in <b>data engineering, chatbot systems, or related roles </b>.
</li><li>Expertise in <b>SQL and Python </b>(Java or other programming languages a plus).
</li><li>Hands-on experience with database ecosystems such as <b>HBase, Hive, GCP tools, NoSQL (MongoDB, Cassandra, Redis, Couchbase), BigQuery, Spanner, PostgreSQL, Oracle, or DB2 </b>.
</li><li>Background in <b>chatbot-specific data pipelines, conversational AI metrics (e.g., RAG response rate, temperature impact), and NLP model integration </b>is highly desirable.
</li><li>Strong experience in <b>performance tuning for Big Data and AI workloads </b>.
</li><li>Knowledge of <b>Agile, Scrum, XP, or other modern software delivery methodologies </b>.
</li><li>Infrastructure design expertise (e.g., storage integration, cloud data services).
</li><li>Experience with ServiceNow data.
</li></ul><p></p><p>Salary Range: $110,000.00 to $190,000.00 annually + bonus + benefits
</p><p>The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we&rsquo;ll consider your location, experience, and other job-related factors.
</p><p>We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
</p><ul><li>Competitive base salaries
</li><li>Bonus incentives
</li><li>6% Company Match on retirement savings plan
</li><li>Free financial coaching and financial well-being support
</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits
</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
</li><li>Free and confidential counseling support through our Healthy Minds program
</li><li>Career development and training opportunities
</li></ul><p>For a full list of Team Amex benefits, visit our Colleague Benefits Site .
</p><p>American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
</p><p>We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
</p><p>US Job Seekers - Click to view the &ldquo; Know Your Rights &rdquo; poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster
</p><p>Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.</p></div>

Senior Data Engineer - Digital Workplace

<div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
</p><div><div><div><h2 class="jobSectionHeader"><b>Job Description
</b></h2></div><div><ul><li>Design and implement scalable search solutions using Apache Solr.
</li><li>Develop and maintain Solr schemas, configurations, and custom analyzers.
</li><li>Optimize search performance and relevance through tuning and query rewriting.
</li><li>Integrate Solr with other systems and APIs (e.g., RESTful services).
</li><li>Monitor and troubleshoot Solr clusters and indexing pipelines.
</li><li>Collaborate with cross-functional teams including data engineers, backend developers, and product managers.
</li><li>Write unit and integration tests to ensure code quality and reliability.
</li><li>Maintain documentation for search architecture and configurations.
</li></ul><p>Required Qualifications:
</p><ul><li>3+ years of experience with Apache Solr and search technologies (Lucene, Elasticsearch).
</li><li>Proficiency in Java and experience with JVM tuning.
</li><li>Strong understanding of indexing strategies, tokenization, and relevance tuning.
</li><li>Experience with microservices architecture and REST APIs.
</li><li>Familiarity with CI/CD tools like Jenkins, Maven, and Git.
</li><li>Excellent problem-solving and communication skills.
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>Life at Capgemini
</b></h2></div><div><p>Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
<br>
Flexible work
<br>
Healthcare including dental, vision, mental health, and well-being programs
<br>
Financial well-being programs such as 401(k) and Employee Share Ownership Plan
<br>
Paid time off and paid holidays
<br>
Paid parental leave
<br>
Family building benefits like adoption assistance, surrogacy, and cryopreservation
<br>
Social well-being benefits like subsidized back-up child/elder care and tutoring
<br>
Mentoring, coaching and learning programs
<br>
Employee Resource Groups
<br>
Disaster Relief
</p></div></div><div><div><h2 class="jobSectionHeader"><b>Salary Information:
</b></h2></div><div><p>Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $103330 - $128656/yearly.
<br>
<br>
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
<br>
<br>
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.
</p></div></div><div><div><h2 class="jobSectionHeader"><b>Disclaimer
</b></h2></div><div><p>Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
<br>
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
<br>
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
<br>
Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
</p></div></div></div><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div>

Data Engineer- Apache Solr

Lyft

<div>
 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
 <br/>
 <br/>
 Lyft is looking for experienced software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our riders and drivers.
 <br/>
 <br/>
 As a Software Engineer for Lyft Media - you will work on one of Lyft&rsquo;s newest lines of business focused on building the world&rsquo;s largest transportation media network. We build products that allow brands to engage with our unique audience throughout their transportation journeys. For this role we are seeking software engineers who are passionate about
 <strong>
  backend and data engineering
 </strong>
 . You will join our Ad Infra Engineering team and contribute to building the systems and pipelines powering our ad-serving and measurement platform. We work on technologies that let brands engage with our unique audience throughout their transportation journeys. This role is a great opportunity for an early-career engineer to gain experience working with distributed backend systems and large-scale data workflows, collaborating closely with product, analytics, and data science teams.
 <br/>
 <br/>
 <strong>
  Why Lyft Media?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Be part of a high-impact team building the foundations of Lyft&rsquo;s advertising infra
  </li>
  <li>
   Gain experience working with complex systems at scale, backed by mentorship and growth opportunities.
  </li>
  <li>
   Join a supportive, inclusive environment focused on engineering excellence and business impact.
   <br/>
   <br/>
  </li>
 </ul>
 Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Develop and maintain backend systems that support real-time ad serving, campaign management, and reporting.
  </li>
  <li>
   Design and implement scalable data models to support analytics, targeting, and measurement use cases.
  </li>
  <li>
   Build and maintain data pipelines that handle ingestion, transformation, and distribution of large volumes of advertising data.
  </li>
  <li>
   Work with orchestration frameworks (e.g., Airflow) to schedule and monitor reliable, production-grade data workflows.
  </li>
  <li>
   Collaborate with cross-functional partners to integrate internal and third-party systems via APIs and batch data feeds.
  </li>
  <li>
   Write clean, maintainable, and testable code following best practices (CI/CD, observability, code reviews).
  </li>
  <li>
   Participate in architecture discussions and design reviews with an emphasis on performance and reliability.
  </li>
  <li>
   Learn and grow through mentorship, documentation, and regular team collaboration.
   <br/>
   <br/>
  </li>
 </ul>
 Experience:
 <br/>
 <br/>
 <ul>
  <li>
   BSc/MSc in Computer Engineering, Computer Science, related field or relevant work experience
  </li>
  <li>
   1&ndash;3 years of industry experience in backend or data engineering roles
  </li>
  <li>
   Proficiency in at least one backend programming language (e.g., Python, Go, Java)
  </li>
  <li>
   Good understanding of distributed systems, microservices, and database design (SQL and NoSQL).
  </li>
  <li>
   Exposure to orchestration tools (e.g., Airflow, Prefect) and data distribution technologies (e.g., Kafka, Pub/Sub).
  </li>
  <li>
   Experience working with relational and non-relational databases (e.g., PostgreSQL, BigQuery, DynamoDB).
  </li>
  <li>
   Experience with Linux.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Great medical, dental, and vision insurance options with additional programs available when enrolled
  </li>
  <li>
   Mental health benefits
  </li>
  <li>
   Family building benefits
  </li>
  <li>
   Child care and pet benefits
  </li>
  <li>
   401(k) plan to help save for your future
  </li>
  <li>
   In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
  </li>
  <li>
   18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  </li>
  <li>
   Subsidized commuter benefits
  </li>
  <li>
   Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
   <br/>
   <br/>
  </li>
 </ul>
 Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
 <br/>
 <br/>
 Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule &mdash; Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
 <br/>
 <br/>
 The expected base pay range for this position in the New York City area is $108,000 - $135,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
 <br/>
 <br/>
 Total compensation is dependent on a variety of factors, including qualifications, experience, and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
</div>


Software Engineer Ad Infra, Lyft Media

Tagup

<div><div>Tagup is a defense AI company combining expert knowledge with artificial intelligence to revolutionize military logistics. Tagup's AI software directly controls large-scale industrial equipment and logistics systems, ensuring our customers get the best performance they can. As a rapidly scaling AI/ML technology company, we are looking to expand our team.</div><div></div><div><br>
We are seeking an AI Operations Lead to design, build, and manage internal tools and AI services that power Tagup&rsquo;s business operations. In this role, you&rsquo;ll partner closely with leadership and cross-functional teams to define key metrics, integrate data sources, and create scalable systems that improve visibility and decision-making. You&rsquo;ll be central to ensuring our business runs with clarity and speed, driving efficiency through automation and actionable insights.</div><br>
<div></div>
<h3 class="jobSectionHeader"><b>
What You'll Do</b></h3><ul><li>
Develop and maintain internal applications that track business, engineering, and operational performance</li><li>
Build and optimize data pipelines that integrate information from finance, product, and operations systems</li><li>
Partner with leadership to define key performance indicators (KPIs) and translate them into measurable, real-time dashboards</li><li>
Automate recurring workflows and reporting tasks to improve efficiency and reduce manual effort</li><li>
Ensure data quality, reliability, and accessibility across teams</li><li>
Act as the primary technical point of contact for internal analytics and tooling needs</li><li>
Collaborate with engineering to align internal tools with broader platform and product strategies</li></ul><h3 class="jobSectionHeader"><b>
What We&rsquo;re Looking For</b></h3><ul><li>
5+ years of experience in data engineering, analytics, DevOps, or operations-focused software roles</li><li>
Strong proficiency with Python, SQL, and data visualization tools (e.g., Tableau, Power BI, or similar)</li><li>
Experience building dashboards, monitoring systems, or internal tools that support business operations</li><li>
Familiarity with cloud platforms (AWS, GCP, or Azure) and modern data pipelines</li><li>
Strong problem-solving skills and the ability to translate ambiguous business needs into technical solutions</li><li>
Effective communicator, comfortable working across technical and non-technical teams</li><li>
Bias for action, ownership mindset, and adaptability in a fast-paced environment</li></ul><div><b>
Salary</b></div><div></div><div><br>
The estimated salary range for this position is between $105,000 and $135,000 annually. We strive to provide a competitive salary and benefits package that aligns with our employees&rsquo; experience and qualifications. Our primary objective is to attract and retain top talent, and we firmly believe in compensating our employees fairly for their invaluable contributions.</div><div></div><div><br>
As a rapidly expanding technology company, we extend part-ownership to all team members through an Employee Stock Option Plan. Additionally, we offer comprehensive health insurance benefits, access to the company&rsquo;s 401K plan, and foster a team-oriented work environment with regular company outings!</div><div></div><div><b><br>
Why Join Us?</b></div><div>
Joining Tagup means becoming part of a fast-growing, mission-driven company at the forefront of defense innovation. You&rsquo;ll play a pivotal role in shaping the systems that drive our business, ensuring teams have the tools and insights they need to succeed. This is your chance to combine technical expertise with operational impact, working on projects that directly support national security and critical defense logistics. If you want your work to make a difference and grow alongside a company redefining what&rsquo;s possible with AI, this is the place for you.</div><div></div><div><br>
Tagup is an equal opportunity employer and individuals seeking employment with us are considered without regard to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law.</div><div></div><div><b><br>
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.</b></div></div><div></div>

AI Operations Lead

Magnetar Capital

<div><div><p><b>About Magnetar</b></p>
<p>
Magnetar is a leading global alternative asset manager with $22B+ AUM as of May 31, 2025. We are based in Evanston, IL&mdash;just north of Chicago and easily accessible by the &ldquo;L&rdquo;&mdash;with additional offices in New York, London and Menlo Park, CA.</p>
<p>
Grounded in two decades of investing experience, we aim to generate consistent performance for our investors by identifying differentiated investment opportunities and building scalable businesses across our core strategies: Alternative Credit and Fixed Income, Systematic Investing, and Venture.</p>
<p>
This year, we proudly celebrate our 20th anniversary&mdash;a testament to our legacy of innovation, expertise and commitment to our clients and team.</p>
<p>
Magnetar employees are among the best in the business at what they do. Our employees thrive on intellectual curiosity, collaboration and identifying creative solutions to complex problems. Our team is made up of highly skilled, passionate professionals who care deeply about delivering results for our investors, our firm and one another. We are proud to foster an inclusive, welcoming environment that empowers each employee to succeed.</p>
<p>
At Magnetar, our commitment to our employees matches our dedication to our work. We offer top-tier benefits including comprehensive health, dental and vision insurance, a 401k match, competitive paid time off, wellness programs, daily lunches, and professional development through Magnetar University. We are also passionate about giving back, supporting financial education and community engagement through our Foundation and various volunteer initiatives.</p>
<p>
We hope you&rsquo;ll consider joining us as you explore a career at Magnetar!</p></div>
<p>Magnetar Capital, LLC seeks Machine Learning Engineer at its facility located at 10 E. 53rd Street, New York, NY 10022.</p>
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JOB DESCRIPTION:</p>
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Design, develop, and implement machine learning models and algorithms to automate various back-office processes. Engage in work that directly impact the efficiency of operations. Collaborate closely with our infrastructure engineers to ensure that solutions are scalable, secure, and integrated seamlessly into our existing systems. Develop and deploy machine learning models to automate back-office processes, such as trade reconciliation, reporting, compliance checks, and other operational tasks. Work closely with infrastructure engineers to integrate machine learning solutions with existing systems, ensuring scalability and security. Utilize Python, Snowflake, and Databricks to develop data pipelines, preprocess data, and implement machine learning algorithms. Continuously monitor and optimize machine learning models to improve accuracy and efficiency. Collaborate with cross-functional teams to identify areas where machine learning can add value and propose innovative solutions. Stay up to date with the latest advancements in machine learning and apply them to improve our processes. Up to 25% domestic travel required.</p>
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REQUIREMENTS:</p>
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This position requires a Master&rsquo;s degree, or foreign equivalent, in Computer Science, Data Science, Machine Learning, Information Engineering, or in a related field, plus 2 years of experience as a Machine Learning Engineer, Software Engineer, or related occupation. Additionally, the applicant must have employment experience with: (1) Applying AI techniques to generate investment theses, automate workflows, and produce quantitative model signals; (2) Performing sentiment analysis, conducting model fine-tuning and evaluation, and executing information extraction from unstructured text data; (3) Designing and implementing algorithmic approaches that drive strategic decision-making and optimize investment performance; (4) Constructing and managing robust data frameworks and pipelines to ensure efficient integration and accessibility of critical data; and (5) Developing and applying comprehensive models for investment analysis, risk assessment, and portfolio optimization.</p>
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RATE OF PAY: $139,506-$225,000 per year</p>
<div><p><b>Disclaimer</b></p>
<p>
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.</p></div></div><p></p>

Machine Learning Engineer

Kentan Staffing Solutions

<div><div><div><b>Title: Go-To-Market (GTM) Development Engineer
</b></div><div>Contract Details:
</div><div>Location: Fully Remote (NYC - occasional travel)
</div><div>Type/Duration: Contract for 6+ months and potential to become contract to hire
</div><div>Start: ASAP
</div><div>Candidates Considered: USC and GC Holders
</div><div>Rate: They said market rate...need to do some recruiting to figure it out.<br>
</div><div></div><div><b>About the Company
</b></div><div>Our client is a fast-growing consumer products and eCommerce company where team members wear many hats and move quickly. Unlike large organizations with siloed functions, we are building new capabilities in-house to accelerate our go-to-market strategy, optimize digital performance, and enable data-driven decision-making.
</div><div><b>About the Role
</b></div><div>The <b>Go-To-Market (GTM) Development Engineer </b>will be a key hire in standing up a new function within our organization. This role combines front-end development, analytics, and marketing technology integration to support rapid go-to-market execution. You will work across marketing, sales, and technology to design, test, and optimize customer-facing digital experiences that drive measurable business results.
</div><div>This is a highly hands-on, entrepreneurial role - perfect for someone with experience in <b>smaller, fast-paced eCommerce/CPG environments </b>who thrives on building and iterating quickly.
</div><div><b>Key Responsibilities
</b></div><ul><li><div><b>Rapid Prototyping &amp; MVP Development: </b>Support quick iteration of landing pages, microsites, and customer-facing digital assets.
</div></li><li><div><b>Front-End Development: </b>Build and maintain scalable, performant, and SEO-optimized user experiences.
</div></li><li><div><b>MarTech &amp; CRM Integrations: </b>Connect marketing systems, business applications, and APIs to improve data flow and customer engagement.
</div></li><li><div><b>Analytics &amp; Data Enablement: </b>Implement and manage tools (Google Analytics, Ruby, or similar) to capture actionable insights; enable marketing and sales teams to leverage data for decision-making.
</div></li><li><div><b>A/B Testing &amp; Conversion Rate Optimization (CRO): </b>Lead testing initiatives to improve campaign performance, conversion rates, and user experience.
</div></li><li><div><b>Performance &amp; SEO Optimization: </b>Ensure digital experiences are optimized for speed, search visibility, and usability.
</div></li><li><div><b>Collaboration with Sales &amp; Marketing: </b>Partner cross-functionally to align technical execution with GTM campaigns and initiatives.
</div></li><li><div><b>Thought Leadership: </b>Provide input on data-driven marketing practices, analytics strategies, and personalization enablement.
</div></li></ul><div><b>Required Qualifications
</b></div><ul><li><div>5&ndash;10 years of experience in <b>eCommerce and CPG industries </b>(experience in ~$300&ndash;400M revenue companies strongly preferred).
</div></li><li><div>Proven experience in <b>front-end development </b>and integrating with marketing tools and business applications.
</div></li><li><div>Strong background in <b>analytics, SEO, and performance optimization </b>.
</div></li><li><div>Hands-on expertise with <b>A/B testing, CRO tools, and digital analytics platforms </b>.
</div></li><li><div>Familiarity with <b>Builder.io </b>(CMS) and integrations with related applications (highly preferred).
</div></li><li><div>Ability to thrive in a <b>smaller, entrepreneurial environment </b>where versatility and initiative are critical.
</div></li><li><div>Strong communication skills, with the ability to work across technical and business teams.
</div></li></ul><div><b>Preferred Qualifications
</b></div><ul><li><div>Experience with rapid prototyping tools and MVP development.
</div></li><li><div>Knowledge of personalization platforms and advanced data enablement strategies.
</div></li><li><div>Track record of thought leadership in analytics and marketing technology.</div></li></ul></div></div>

Go-To-Market (GTM) Development Engineer

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