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data engineer ai ml data infrastructure

Yogi Careers

<div>
 
 
 Overview:
 
 
 
 
 
 We&rsquo;re looking for a Data Engineer to build and maintain the data infrastructure that powers machine learning initiatives. You&rsquo;ll work at the intersection of software engineering and data science.
 
 
 
 
 
 Responsibilities:
 
 
 
 
 <ul>
 <li>
 Develop and maintain feature stores and ML-ready datasets
 </li>
 <li>
 Automate data preprocessing pipelines for ML model training and evaluation
 </li>
 <li>
 Collaborate with ML engineers to enable scalable experimentation workflows
 </li>
 <li>
 Monitor and improve data reliability, lineage, and reproducibility
 
 
 </li>
 </ul>
 
 
 Requirements:
 
 
 
 
 <ul>
 <li>
 BS/MS in Computer Science, Data Engineering, or similar
 </li>
 <li>
 Experience with ML platforms (Databricks, AWS Sagemaker, Vertex AI)
 </li>
 <li>
 Strong Python and SQL skills, with familiarity in Spark or Dask
 </li>
 <li>
 Experience with Airflow, MLflow, or Kubeflow pipelines
 </li>
 <li>
 Solid understanding of MLOps, data validation, and model versioning
 
 
 </li>
 </ul>
 
 Job Category:
 
 Data Engineer
 
 
 
 Job Type:
 
 Full Time
 
 
 
 Job Location:
 
 Boston
 
 
 Apply for this position
 
 
 Full Name *
 
 
 Email *
 
 
 Phone *
 
 
 Cover Letter *
 
 
 Upload CV/Resume *Allowed Type(s): .pdf, .doc, .docx
 
 
 By using this form you agree with the storage and handling of your data by this website. *
 
 
 
 
 Responsibilities:
 
 
 
 
 <ul>
 <li>
 Develop and maintain feature stores and ML-ready datasets
 </li>
 <li>
 Automate data preprocessing pipelines for ML model training and evaluation
 </li>
 <li>
 Collaborate with ML engineers to enable scalable experimentation workflows
 </li>
 <li>
 Monitor and improve data reliability, lineage, and reproducibility
 
 
 </li>
 </ul>
 
 
 Requirements:
 
 
 
 
 <ul>
 <li>
 BS/MS in Computer Science, Data Engineering, or similar
 </li>
 <li>
 Experience with ML platforms (Databricks, AWS Sagemaker, Vertex AI)
 </li>
 <li>
 Strong Python and SQL skills, with familiarity in Spark or Dask
 </li>
 <li>
 Experience with Airflow, MLflow, or Kubeflow pipelines
 </li>
 <li>
 Solid understanding of MLOps, data validation, and model versioning
 
 
 </li>
 </ul>
 
 Job Category:
 
 Data Engineer
 
 
 
 Job Type:
 
 Full Time
 
 
 
 Job Location:
 
 Boston
 
 
 
 
 Responsibilities:
 
 
 
 
 <ul>
 <li>
 Develop and maintain feature stores and ML-ready datasets
 </li>
 <li>
 Automate data preprocessing pipelines for ML model training and evaluation
 </li>
 <li>
 Collaborate with ML engineers to enable scalable experimentation workflows
 </li>
 <li>
 Monitor and improve data reliability, lineage, and reproducibility
 
 
 </li>
 </ul>
 
 
 Requirements:
 
 
 
 
 <ul>
 <li>
 BS/MS in Computer Science, Data Engineering, or similar
 </li>
 <li>
 Experience with ML platforms (Databricks, AWS Sagemaker, Vertex AI)
 </li>
 <li>
 Strong Python and SQL skills, with familiarity in Spark or Dask
 </li>
 <li>
 Experience with Airflow, MLflow, or Kubeflow pipelines
 </li>
 <li>
 Solid understanding of MLOps, data validation, and model versioning
 </li>
 </ul>
</div>

Data Engineer – AI/ML Data Infrastructure

Nextera Robotics

Nextera Robotics is a fast-growing Physical AI company founded at MIT. We build and deploy advanced AI systems and autonomous technologies for Fortune 500 clients across construction, energy, and manufacturing.We move fast with small, agile teams. Autonomy is the standard, not the exception. You'll take your work from idea to production and see it create real value in the field. The work is challenging, deeply technical, and seriously rewarding.This role is built for a strong engineer with a versatile software development background and a real passion for AI, machine learning, and robotics.What you'll do:<ul><li>Build and productionize advanced computer vision and multimodal AI systems for real-world industrial deployment - spanning detection, segmentation, visual understanding, and VLM/LLM-powered reasoning.</li><li>Turn large-scale visual data collected by autonomous robots into actionable insights for progress tracking, safety monitoring, and project intelligence.</li><li>Develop AI systems deployed across robotics, construction, energy, and telecommunications.</li><li>Work closely with engineers and annotators to expand and improve high-quality training datasets.</li><li>Support and scale machine learning operations (MLOps).</li><li>Build and maintain the cloud infrastructure and ML pipelines that power training, evaluation, and deployment.</li></ul>Required:<ul><li>Proven academic or industry experience building computer vision systems, including areas such as object detection, segmentation, visual understanding, or multimodal models</li><li>Strong Python skills, with the ability to build, test, and iterate quickly in a production-oriented environment</li><li>Proficiency using modern AI-assisted development tools such as coding agents, GitHub Copilot, or similar systems to accelerate implementation, debugging, and iteration</li><li>Solid problem-solving skills, strong ownership, and the ability to communicate clearly across technical and non-technical teams</li><li>Familiarity with data pipelines, model evaluation, and real-world ML workflows</li></ul>Good to have:<ul><li>Strong background in mathematics, statistics, physics, or another highly quantitative field</li><li>Experience with VLMs, LLMs, or multimodal AI systems</li><li>Familiarity with MLOps, cloud infrastructure, and training or deployment pipelines</li><li>Back-end experience with modern frameworks; Django and MySQL are a plus</li></ul>Working at Nextera is a great opportunity for those who love to get things done. The work is challenging, deeply technical, and incredibly rewarding - you&rsquo;ll see your models and systems make the jump from development to real-world deployment. We&rsquo;ll be very excited to learn more about you and welcome you to the Nextera Robotics team!Competitive salary based on experience, plus great perks. Join a YC-backed startup shaping the future of Physical AI!Pay: $130,000.00 - $210,000.00 per yearBenefits:<ul><li>Health insurance</li><li>Paid time off</li><li>Parental leave</li><li>Professional development assistance</li><li>Relocation assistance</li><li>Tuition reimbursement</li><li>Vision insurance</li></ul>Work Location: In person

AI / ML Engineer

Bain Capital

<div>Bain Capital Overview:
With approximately $215 billion of assets under management, Bain Capital is one of the world&rsquo;s leading private investment firms. We create lasting impact for our investors, teams, businesses, and the communities in which we live. Over four decades we have strategically grown our platform to focus on Private Equity, Growth &amp; Venture, Capital Solutions, Credit, and Real Assets. Today, our team includes 1,985+ employees in 24 offices on four continents.
We partner differently to help people and companies embrace possibility and realize potential. Founded as a private partnership in 1984, we have fostered a culture of innovation, entrepreneurialism, and agility, empowering our people to define and own their career trajectories. Today, our partnership approach enables us to pursue strategic growth, build enduring relationships with a robust external network, and collaborate across our integrated platform to connect the deep and diverse expertise that unlocks breakthrough insights.
Our people are the heart of our advantage. Colleagues at all levels have a seat at the table as they tackle business challenges with a principal investor mindset. By asking incisive questions, respectfully challenging one another, and remaining intellectually agile, we work together to achieve exceptional outcomes.
For more information visit: Bain Capital
Position Overview
Bain Capital&rsquo;s Information Security team is seeking a Senior Engineer, Data Protection &amp; AI Security to own and advance the firm&rsquo;s data security posture and AI security capabilities. This is a hands-on engineering role responsible for deploying, operationalizing, and maturing the platforms and processes that protect the firm&rsquo;s most sensitive data&mdash;across cloud environments, SaaS applications, databases, and AI workflows.
The ideal candidate combines deep technical expertise in data security platforms (DSPM, DLP, data classification) with a forward-looking understanding of how AI adoption introduces new data risks. This person will work closely with Security Engineering, Cloud Operations, the Data Science team, and platform owners to build a cohesive data protection program&mdash;one that addresses both traditional data governance gaps and the emerging challenge of securing enterprise AI tools and workflows.
This is not a monitoring or compliance role. This is an engineering role for someone who builds things, owns outcomes, and can operate independently in a fast-moving environment with a growing security platform portfolio.<div></div>
Key Responsibilities
Data Security Posture Management<ul><li>
Own the end-to-end deployment, configuration, and operationalization of the firm&rsquo;s DSPM platform, including onboarding data sources across public cloud environments, cloud data warehouses, SQL databases, and network file shares</li><li>
Triage and prioritize DSPM findings, coordinate remediation with data owners and infrastructure teams, and build reporting workflows that translate discovery results into actionable risk reduction</li><li>
Rationalize DSPM capabilities across the security tool portfolio to eliminate overlap between cloud-native application protection, DSPM, and endpoint-based data security platforms</li><li>
Partner with Cloud Operations and application teams to navigate technical integration challenges, including IAM permissions, network connectivity, and change management processes</li></ul>
Data Classification &amp; Governance<ul><li>
Design and implement a data classification framework that establishes sensitivity levels, ownership models, and handling requirements for the firm&rsquo;s data</li><li>
Develop and maintain data classification policies that inform downstream controls across DLP, DSPM, access governance, and backup immutability</li><li>
Serve as the security team&rsquo;s subject matter expert on data governance, partnering with Compliance and business stakeholders to align classification efforts with regulatory and operational requirements</li></ul>
AI Security<ul><li>
Evaluate, deploy, and manage AI security monitoring tools to provide visibility into sanctioned and unsanctioned AI usage across the enterprise</li><li>
Develop detection capabilities for sensitive data exposure through GenAI workflows, including monitoring for data leakage via AI prompts, outputs, and integrations with enterprise tools</li><li>
Establish and maintain an AI governance operating model in coordination with the CISO and the Data Science team, including sanctioned tool inventories, acceptable use guardrails, and risk-based approval workflows for new AI applications</li><li>
Stay current on evolving AI security frameworks (OWASP LLM Top 10, NIST AI RMF, MITRE ATLAS) and translate emerging threats into practical defensive measures for the firm</li></ul>
Data Loss Prevention &amp; Insider Threat<ul><li>
Manage and enhance the firm&rsquo;s DLP and insider threat platforms to prevent unauthorized data movement across endpoints, cloud applications, and email</li><li>
Develop and tune DLP policies informed by DSPM discovery and data classification outputs, ensuring controls are risk-proportionate and operationally sustainable</li><li>
Partner with Security Operations to integrate data protection alerts into the firm&rsquo;s SOAR platform for automated triage and response workflows</li></ul>
TECHNOLOGY EXPERIENCE<ul><li>
Hands-on experience deploying and operating Data Security Posture Management (DSPM) platforms</li><li>
Strong working knowledge of cloud security in public cloud environments (AWS preferred), including IAM roles and policies, object storage security, VPC architecture, and infrastructure-as-code templates</li><li>
Experience with enterprise DLP platforms and insider threat tools, including policy development, tuning, and incident workflows</li><li>
Familiarity with data classification methodologies and tools across structured and unstructured data environments</li><li>
Experience with SaaS Security Posture Management (SSPM) platforms</li><li>
Working knowledge of AI/ML security concepts, including GenAI data leakage vectors, prompt injection risks, and shadow AI discovery</li><li>
Experience integrating security tools via APIs and working with SOAR and automation platforms</li><li>
Proficiency with cloud data warehouses, SQL databases, and cloud object storage from a security and access governance perspective</li><li>
Familiarity with enterprise identity providers and identity governance platforms as they relate to data access controls</li></ul><div></div>
Qualifications<ul><li>
Bachelor&rsquo;s degree in computer science, information security, or a related technical field (or equivalent professional experience)</li><li>
7+ years of experience in information security, with at least 3 years focused on data security, data protection, or cloud security engineering</li><li>
Demonstrated ability to own and drive complex, multi-stakeholder technical projects from planning through operationalization</li><li>
Strong understanding of data privacy and protection regulations relevant to financial services (GLBA, SOX, SEC guidelines, GDPR)</li><li>
Excellent written and verbal communication skills, with the ability to translate technical findings into business risk language for senior leadership</li><li>
A self-starter with an ownership mindset who thrives in a lean team environment where independent judgment and initiative are expected</li><li>
Experience in financial services, private equity, or asset management is strongly preferred</li></ul>
Preferred Certifications
CISSP, CCSP, CCSK, AWS Security Specialty, or relevant GIAC certifications. Certifications in AI security (CAISP) or data privacy (CIPP/US) are a plus.
Join our team and play a foundational role in building the firm&rsquo;s data protection and AI security capabilities from the ground up&mdash;shaping how Bain Capital discovers, classifies, and protects its most critical data in an era of rapid AI adoption.
Compensation:
Expected Annual Base Salary $125,000-$155,000
Actual base salary will be determined by a wide range of factors including but not limited to role, function, level, experience, qualifications and geographic location. In addition to a competitive base salary, this position may be eligible for a discretionary annual bonus based upon factors such as individual impact, team and firm performance. Bain Capital offers a competitive benefits package designed to support employees&rsquo; health, financial security, family needs, and overall well-being.
Bain Capital is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status</div>

Senior Engineer, Data Protection & AI Security

Full Stack Engineer (AI)

TetraScience

<div>About TetraScience
TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world&rsquo;s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience&rsquo;s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft.
In connection with your candidacy, you will be asked to carefully review The Tetra Way authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you. 
The Role
The Scientific Solutions Partner is a new role born from a deliberate strategic choice: the most effective way to sell TetraScience&rsquo;s Scientific Data and AI Cloud is to have one person who can credibly do both &mdash; win the scientific and technical confidence of the customer and manage the commercial relationship to close. No separate Account Executive needed.
This is not a traditional Account Executive role with a presales overlay. The Scientific Solutions Partner owns the full customer engagement, from prospecting and discovery through technical solutioning, proof-of-concept, RFP response, and close &mdash; and remains accountable for the account&rsquo;s health, expansion, and renewal alongside the Delivery Manager. Both roles share accountability for identifying and progressing expansion opportunities within their accounts.
You will work with the world's largest enterprise biopharma, biotech, and life sciences companies, helping them understand how the Tetra Scientific Data Foundry and Tetra OS transforms siloed, raw scientific data into AI-ready scientific datasets across the medallion architecture (bronze silver gold AI-native). You will engage audiences ranging from bench scientists and data engineers to CDOs, VPs of Divisional IT, VPs of Scientific areas, and digital transformation executives.
TetraScience provides its SSPs with AI-powered tools &mdash; including Claude Cowork and Codex &mdash; that automate RFPs, triage, and contracting workflows, enabling each SSP to operate with the leverage of a larger team.
What You&rsquo;ll Do
Scientific &amp; Technical Engagement<ul><li>
Lead technical discovery: understand the customer&rsquo;s current lab data landscape &mdash; instruments, data formats, informatics stack, and data science ambitions</li><li>
Design and present compelling solution architectures aligned to the customer&rsquo;s specific scientific use cases (e.g., ADMET assays, FPLC/UPLC chromatography, bioassay data harmonization, AI training datasets) as well as understanding their core data management pain points and goals.</li><li>
Always be leading with demo&rsquo;s of actual software aligned to the customers main value levers.</li><li>
Own and drive proof-of-concept and proof-of-value engagements, partnering with TetraScience scientific data architects to deliver credible, high-quality demonstrations of the Tetra Scientific Data Foundry&rsquo;s capabilities</li><li>
Own RFP technical responses end-to-end, synthesizing platform capabilities, scientific use cases, and customer-specific requirements into compelling, accurate submissions</li><li>
Articulate the medallion data architecture in scientific and business terms: how bronze (raw scientific data), silver (harmonized Tetra Data), and gold (analysis-ready datasets) each create value, and how TetraScience&rsquo;s AI-native layer accelerates scientific outcomes</li><li>
Stay current on the scientific and informatics landscape &mdash; relevant assay workflows, instrument vendors, SDMS/ELN/LIMS/analytical software integrations, and AI/ML use cases in drug discovery and development</li></ul>
Commercial Ownership<ul><li>
Prospect, qualify, and build territory pipeline in alignment with the TetraScience go-to-market strategy</li><li>
Relentlessly identify and close expansion opportunities across new labs, instruments, geographies, sites, and use cases within existing accounts</li><li>
Manage the full sales cycle from discovery through contracting, using modern sales methodologies (MEDDIC, MEDDPIC, Force Management, or similar)</li><li>
Maintain a rigorous, accurate pipeline with consistent forecasting and visibility to leadership</li><li>
Build and expand relationships across the customer organization, from individual contributors to executive sponsors</li><li>
Identify and close expansion opportunities across new labs, instruments, geographies, sites, and use cases within existing accounts</li><li>
Partner with the Delivery Manager to ensure smooth handoff from sales to delivery, maintaining continuity of scientific context</li></ul>
Market &amp; Thought Leadership<ul><li>
Represent TetraScience at industry conferences, seminars, and customer events as a scientifically credible voice</li><li>
Contribute customer and market insights back to product, marketing, and science teams to inform roadmap and messaging</li><li>
Help develop compelling content &mdash; case studies, solution briefs, demo narratives &mdash; that advances the category</li></ul> 
 
 
Requirements 
What You Bring<ul><li>
A Bachelors in a life science, chemistry, or engineering discipline is required. A MS or PhD is highly preferred; equivalent practical experience considered</li><li>
5+ years of combined scientific, technical, and commercial experience in life sciences software, laboratory informatics, scientific data infrastructure, or adjacent domains</li><li>
Direct experience in pharma, biotech, or CRO/CDMO environments &mdash; either as a scientist, scientific software professional, or sales/solutions professional serving these customers</li><li>
Demonstrated ability to lead technical sales cycles in enterprise SaaS or scientific software, including POC design and execution and RFP ownership</li><li>
Deep familiarity with laboratory workflows and data: you understand what it means when a customer has 50 instruments generating unstructured data that no one can analyze</li><li>
Fluency with scientific data concepts: file formats, instrument connectivity, data harmonization, and the path from raw data to AI-ready datasets</li><li>
Experience with modern sales methodologies (MEDDIC, MEDDPIC, Force Management, or similar)</li><li>
Strong executive presence &mdash; equally compelling in a whiteboard architecture session and a C-suite business case conversation</li><li>
Proficiency with CRM and digital sales tools (Salesforce, LinkedIn Sales Navigator, ZoomInfo, SalesLoft, or equivalent)</li><li>
Ability to travel (approximately 25%) to client sites within assigned region</li></ul> 

Benefits 
<ul><li>
100% employer-paid benefits for all eligible employees and immediate family members</li><li>
Unlimited paid time off (PTO)</li><li>
401K</li><li>
Company paid Life Insurance, LTD/STD</li></ul></div>

Scientific Solutions Partner- Eastern US

State Street

<div>We are seeking an experienced Officer‑level Senior Data Engineer to design, build, and support modern cloud‑based data engineering solutions that enable analytics, reporting, and AI use cases for Sales and Business teams. This role focuses on hands‑on engineering with AWS Cloud,Redshift, Databricks, Snowflake, and modern data pipelines, ensuring high‑quality, secure, and scalable data platforms.
The role requires strong ownership of technical components, independence in execution, and close collaboration with cross‑functional stakeholders while operating as a senior individual contributor.
Job Description
Key Responsibilities &amp; Experience Range<ul><li>
Design, develop, and support end‑to‑end data pipelines using cloud‑based platforms such as AWS, Redshift ,Databricks, and Snowflake.</li><li>
Build scalable data ingestion, transformation, and validation frameworks using Python, SQL, and Shell scripting</li><li>
Develop and optimize data pipelines for performance, reliability, and data quality</li><li>
Partner with product owners, analytics teams, and downstream consumers to translate business requirements into technical solutions</li><li>
Support production stability, incident resolution, and root‑cause analysis for data platforms</li><li>
Actively participate in architecture discussions, design reviews, and technical walkthroughs</li><li>
Follow Agile delivery practices, including sprint planning, estimation, and issue tracking using JIRA</li><li>
Ensure compliance with data security, governance, and SDLC standards</li><li>
Continuously identify opportunities to improve efficiency, automation, and platform capability</li><li>
Good Analytical skills to understand the business requirements and translate them into Technical specifications</li><li>
Good hands-on to AWS Data storage products like AWS S3 and Amazon Redshift.</li><li>
Ability to participate in major incident management, production stability, etc as and when required</li><li>
Good Exposure to code versioning tool GIT, Bitbucket and CI/CD Process and project collaboration platform JIRA</li><li>
Excellent verbal and written communication and should be able to work with all the stakeholders.</li><li>
Prior experience on working in Agile project management practices</li></ul>
Qualification &amp; Certifications<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related field.</li><li>
6&ndash;10 years of overall IT experience, with strong focus on Data Engineering</li><li>
4+ years of hands‑on experience building data pipelines on cloud platforms</li><li>
Proven experience working as a senior data engineer/ETL expert on complex technical problem statements</li><li>
Excellent communication and leadership skills.</li></ul>
Primary Skills (Must Have)<ul><li>
Proficient on designing ,developing and supporting Data pipelines with AWS S3,AWS Redshift, YAML Sripting ,Apache Airflow and Shell Scripting.</li><li>
Solid AWS Cloud experience, including EC2, S3, IAM, and cloud‑based data architectures</li><li>
Proficiency in Python for data engineering and automation</li><li>
Strong SQL skills for data analysis, validation, and performance tuning</li><li>
Experience writing and maintaining Shell scripts for automation and operational support</li><li>
Good understanding of Data Warehousing, Data Lakes, and Data Quality concepts</li><li>
Ability to independently analyze requirements and deliver technical solutions</li></ul>
Secondary Skills (Good to Have)<ul><li>
Exposure on AWS Cloud Tech Stack for Data Engineering.</li><li>
Good to have hands on Databricks and Snowflake.</li><li>
Exposure to any financial/asset management domain or sales and marketing would be added advantage.</li><li>
Knowledge of networking fundamentals and key management services</li><li>
Exposure to Complete CI/CD Process for Deployment and Releases.</li><li>
Good understanding/hands-on of application of AI /ML in data engineering and data quality.</li></ul>
Salary Range:
$70,000 - $118,750 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street&rsquo;s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
For a full overview, visit https://hrportal.ehr.com/statestreet/Home.<h1 class="jobSectionHeader">
About State Street</h1>
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you&rsquo;ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Discover more information on jobs at StateStreet.com/careers
Read our CEO Statement
Job Application Disclosure:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</div>

Senior Data Engineer - Cloud & Analytics, Officer - State Street Investment Management

Plymouth Rock Assurance

<div>Artificial Intelligence Intern

We are seeking motivated Artificial Intelligence engineering interns to gain hands-on experience deploying artificial intelligence systems while working alongside experienced AI professionals. This internship offers exposure to real-world AI applications, meaningful project contributions, and mentorship designed to help build strong technical and professional foundations. The ideal candidate is curious, eager to learn, and passionate about AI and emerging technologies.

Essential Functions and Responsibilities:
<ul>
<li>Assist in developing, testing, and optimizing deployed AI systems</li>
<li>Support research on AI algorithms, tools, and best practices</li>
<li>Collaborate with software engineering and product teams</li>
<li>Document code, experiments, and technical findings</li>
<li>Participate in team meetings, code reviews, and learning sessions</li>
<li>Tech Stack: Python, SQL/NoSQL, AWS</li>
</ul>
Qualifications and Education:
<ul>
<li>Currently pursuing a degree in Computer Science, AI, Data Science, Engineering, or a related field</li>
<li>Basic understanding of AI concepts</li>
<li>Actively leverages LLM tools to enhance decision-making, creativity, and
</li><li>operational effectiveness</li>
<li>Experience with at least one programming language (Python preferred)</li>
<li>Familiarity with data analysis tools (Pandas, NumPy)</li>
<li>Strong problem-solving, communication, and teamwork skills</li>
</ul>
Nice to Have:
<ul>
<li>Experience with ML libraries ( PyTorch, scikit-learn) and/or LLM APIs (OpenAI, Anthropic, Google)</li>
<li>Exposure to LLM toolkits (e.g., LangChain, Amazon Bedrock)</li>
<li>Knowledge of Git, REST APIs, and AWS</li>
<li>Personal or academic AI/ML projects</li>
</ul>
Pay Rate: The pay range for this position is $25-$30 per hour. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity.

Why work for us:
<ul>
<li>Friendly and collaborate work culture</li>
<li>Free On-site gym access</li>
<li>Free Coffee and Snacks</li>
<li>Company social events</li>
<li>Lunch and Learn Leadership program</li>
<li>Business Casual (Can wear jeans and sneakers!)</li>
<li>Convenient Location &ndash; across from South Station!</li>
</ul>
About the Company:

The Plymouth Rock Company and its affiliated group of companies write and manage over $2.2 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 2,000 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of &ldquo;A-/Excellent&rdquo;.

#LI-DNI</div>

Artificial Intelligence Intern

Explore 321+ Data engineer ai ml data infrastructure in Boston this May. Find roles across top companies and apply now to boost your career.