Deployed Transformation Engineer Job at avis budget group (Parsippany)

Lead Deployed Transformation Engineer

As the Lead Deployed Transformation Engineer, you will play a key role in drivin...

Location

United States , Parsippany

Salary:

125000.00 - 155000.00 USD / Year

avis budget group

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in an engineering field such as Computer Science, Data Science, Operations Research, Physics
3+ years of professional experience solving complex, real-world problems in a customer-facing or business-facing environment using technology and data-driven approaches
Demonstrated ability to lead development of end-to-end software products — from concept through design, deployment, and scaling
Proficiency in Python, Java, or TypeScript/JavaScript and familiarity with modern frameworks and development tools
Proven track record of engaging directly with business stakeholders, translating complex requirements into actionable solutions
Excellent communication skills
able to bridge technical and non-technical discussions effectively
Comfortable working in ambiguous, fast-paced environments and prioritizing for maximum business impact
Willingness to travel 10–25% to collaborate with field teams and support deployments

Job Responsibility

Build solutions that are intuitive, reliable, and truly adopted by end users – ensuring the tools you create deliver real value in day-to-day operations
Collaborate with business and operations teams to understand workflows, identify opportunities for improvement, and define technical requirements
Lead technical solution development for complex business challenges, from concept through deployment
Improve and build upon existing production systems, guiding the team through operationally engrained workflows and enhancements
Provide technical guidance and mentorship to junior engineers and other team members, fostering best practices in design and development
Ensure scalability and sustainability of solutions by working with IT and enterprise technology teams to move from prototypes to production
Support user adoption through clear documentation, training, and communication

What we offer

Paid time off
401K retirement plan with company matched contributions
Access to Medical, Dental, Vision, Life and Disability insurance
Eligible to elect other voluntary benefits including: Group Legal, Identity Theft, Insurance, FSA, additional life insurance coverages
Contribute up to $260 as a tax free benefit for public transportation or parking expenses
Employee discounts, including discounted prices on purchase of Avis / Budget cars
Access to an Employee Assistance Program for services including counseling, financial and legal consultation, referrals for care service, and more

Fulltime

Staff Software Engineer, Forward Deployed

As a Staff Forward Deployed Engineer (FDE) at Invisible, you'll lead high-impact...

Location

United Kingdom , London

Salary:

Not provided

Invisible Technologies

Expiration Date

Until further notice

Requirements

5+ years of software engineering experience, including significant time spent building data, ML, or backend systems
Deep proficiency in Python and experience with ML/LLM frameworks such as Hugging Face, LangChain, OpenAI, Pinecone, etc.
Familiarity with full-stack or API-based deployment patterns (Docker, FastAPI, Kubernetes, GCP/AWS)
Strong product and system design instincts — you understand business needs and how to translate them into technical architecture
Experience building usable systems from messy data and ambiguous requirements
Excellent communication and client-facing skills
you’ve led conversations with technical and non-technical stakeholders alike
Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments
Be willing to be on-call for our customers when situations ari
Ability to travel roughly 25–50 % of the time, sometimes short-notice trips—primarily across Europe with occasional international roll-outs—to work directly on-site with clients

Job Responsibility

Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI-driven solutions
Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems
Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability
Own projects from first discovery call through full deployment — including client-facing delivery, internal coordination, and post-launch iteration
Build shared infrastructure, reusable components, and internal playbooks to level-up the team
Coach and mentor mid-level engineers and help shape the culture of forward-deployed AI engineering at Invisible

What we offer

Bonuses and equity are included in offers above entry level

Fulltime

Principal Backend Engineer, Forward Deployed

As a Principal Forward Deployed Engineer (FDE) at Invisible, you'll lead high-im...

Location

United States , Austin; New York; San Francisco Bay Area; Washington DC–Baltimore

Salary:

225000.00 - 370000.00 USD / Year

Invisible Technologies

Expiration Date

Until further notice

Requirements

12+ years of software engineering experience, including significant time spent building data, ML, or backend systems
Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems
Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS)
Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance
Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes
Strong product and system design instincts — you understand business needs and how to translate them into technical architecture
Experience building usable systems from messy data and ambiguous requirements
Excellent communication and client-facing skills
you’ve led conversations with technical and non-technical stakeholders alike
Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments

Job Responsibility

Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI-driven solutions
Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems
Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability
Own projects from first discovery call through full deployment — including client-facing delivery, internal coordination, and post-launch iteration
Build shared infrastructure, reusable components, and internal playbooks to level-up the team
Coach and mentor mid-level engineers and help shape the culture of forward-deployed AI engineering at Invisible

What we offer

bonus
equity

Fulltime

Head of Automation, Analytics & Process Engineering

Senior transformation leader role within the Process and Operations Transformati...

Location

United States , Frisco

Salary:

155500.00 - 376000.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

12+ years in business transformation, operational excellence, or related fields
Leadership of multi-disciplinary teams
Demonstrated success in creating and executing enterprise-level transformation strategies with measurable results
Skilled in balancing innovation with disciplined execution and benefit tracking
Adept at navigating complex, matrixed organizations and driving change at scale
Proven experience leading cross-functional transformation programs in a global enterprise
Expertise in process engineering, automation strategy, and analytics
Strong strategic planning and prioritization skills
Exceptional stakeholder engagement skills
Experience managing large, diverse teams across disciplines and geographies

Job Responsibility

Serve as senior point of contact for automation, analytics, and process engineering with executive leadership
Define and lead formalized strategy for identifying, evaluating, and prioritizing transformation opportunities
Oversee and inspire a large, multidisciplinary team
Own the Value Realization program for the business unit
Guide design and deployment of automation, analytics, and process optimization solutions
Establish governance and oversight structures
Build and maintain strong relationships with senior stakeholders
Ensure continuous capability growth by adopting emerging tools and technologies

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion
Comprehensive suite of benefits supporting physical, financial and emotional wellbeing

Fulltime

Senior Staff Machine Learning Engineer

Join the Affirm team as a Senior Staff Machine Learning Engineer and become a pi...

Location

United States

Salary:

232000.00 - 310000.00 USD / Year

Affirm

Expiration Date

Until further notice

Requirements

10+ years of experience researching, designing, deploying, and operating large-scale, real-time machine learning systems
Experience leading end-to-end ML system design, from data architecture and feature pipelines to model training, evaluation, and production deployment
Proficient in Python and ML frameworks, including PyTorch and XGBoost
Strong understanding of representation learning and embedding-based modeling
Deep expertise in neural network-based sequence modeling, including architectures such as Transformers, recurrent, or attention-based models, and multi-task learning systems
Deep hands-on experience with large-scale distributed ML infrastructure, including streaming or batch data ingestion, feature stores, feature engineering, training pipelines, model serving and inference infrastructure, monitoring, and automated retraining
Strong technical leadership: defining long-term strategy, guiding research direction, and aligning work across teams
Exceptional judgment, collaboration, and communication skills
Strong verbal and written communication skills that support effective collaboration across our global engineering organization
Equivalent practical experience or a Bachelor’s degree in a related field

Job Responsibility

Define and drive multi-year, multi-team technical strategy for machine learning across Affirm
Lead the design, implementation, and scaling of advanced ML systems
Partner deeply with ML Platform, product, engineering, and risk leadership to shape long-term modeling capabilities
Provide broad technical leadership across the ML organization, mentoring senior engineers
Drive clarity and alignment on ambiguous, high-stakes technical decisions
Champion operational and system excellence at the area level

What we offer

Equity rewards
Monthly stipends for health, wellness and tech spending
100% subsidized medical coverage, dental and vision for you and your dependents
Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
Competitive vacation and holiday schedules
Employee stock purchase plan enabling you to buy shares of Affirm at a discount

Fulltime

Senior Staff Machine Learning Engineer

Join the Affirm team as a Senior Staff Machine Learning Engineer and become a pi...

Location

Canada

Salary:

206000.00 - 256000.00 CAD / Year

Affirm

Expiration Date

Until further notice

Requirements

10+ years of experience researching, designing, deploying, and operating large-scale, real-time machine learning systems
Experience leading end-to-end ML system design, from data architecture and feature pipelines to model training, evaluation, and production deployment
Proficiency in Python and ML frameworks, including PyTorch and XGBoost
Experience with ML tooling for training orchestration, experimentation, and model monitoring, such as Kubeflow, MLflow, or equivalent
Strong understanding of representation learning and embedding-based modeling
Deep expertise in neural network-based sequence modeling, including architectures such as Transformers, recurrent, or attention-based models, and multi-task learning systems
Deep hands-on experience with large-scale distributed ML infrastructure, including streaming or batch data ingestion, feature stores, feature engineering, training pipelines, model serving and inference infrastructure, monitoring, and automated retraining
Strong technical leadership: defining long-term strategy, guiding research direction, and aligning work across teams
Exceptional judgment, collaboration, and communication skills
Strong verbal and written communication skills

Job Responsibility

Define and drive multi-year, multi-team technical strategy for machine learning across Affirm
Lead the design, implementation, and scaling of advanced ML systems
Partner deeply with ML Platform, product, engineering, and risk leadership to shape long-term modeling capabilities
Provide broad technical leadership across the ML organization
Drive clarity and alignment on ambiguous, high-stakes technical decisions
Champion operational and system excellence at the area level

What we offer

Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
Time off - competitive vacation and holiday schedules
ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

Fulltime

Forward Deployed Engineer

Cinder provides a cutting-edge platform to protect the internet. Trust & Safety ...

Location

United States , New York

Salary:

165000.00 - 235000.00 USD / Year

Cinder

Expiration Date

Until further notice

Requirements

Experience as a Forward Deployed Engineer, software engineer, solutions engineer, sales engineer (or any other relevant title) in a fast-paced, high-growth environment
Strong understanding of safety engineering and/or safety operations via firsthand experience in the space
Alternatively, been an early technical hire (FDE, solutions engineer, or similar) at a high-growth SaaS company and successfully partnered with large enterprise customers to deploy technical solutions at scale
Ability to collaborate effectively with enterprise-level customers and navigate complex organizational structures
Deep familiarity with AI/LLM-powered tools and AI agents, and the ability to guide customers on how to deploy them effectively in safety and investigation workflows
Comfortable with ambiguity and repeatedly takes initiative — thrives when dropped into unfamiliar situations, learning quickly, and finding ways to deliver value
A great team player who deeply values the power of working together
An excellent listener who sees every interaction as a chance to learn

Job Responsibility

Transform internet platform safety by embedding directly with our most strategic enterprise customers to implement Cinder
Drive adoption of cutting-edge user protection measures at today’s largest and most popular internet platforms
Work directly with strategic customers to rapidly diagnose and solve their safety problems with technical and strategic solutions
Serve as the subject matter expert on Cinder’s platform and Trust and Safety practices for customers as well as industry and government agencies
Address technical challenges (bugs, missing feature, last mile-development, etc) or collaborate with our engineering and product teams to efficiently hand off projects
Collaborate with Customer Success to effectively triage and prioritize feedback from thousands of Cinder users
Contribute to the growth and success of the Engineering and Customer Success organizations

What we offer

Offers Equity
Health, vision & dental benefits
401(k) plan with employer matching

Fulltime

Data Ops Capability Deployment - Analyst

Data Ops Capability Deployment - Analyst is a seasoned professional role. Applie...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10 + years of active development background and experience in Financial Services or Finance IT
Experience with Data Quality/Data Tracing/Data Lineage/Metadata Management Tools
Hands on experience for ETL using PySpark on distributed platforms along with data ingestion, Spark optimization, resource utilization, capacity planning & batch orchestration
In depth understanding of Hive, HDFS, Airflow, job scheduler
Strong programming skills in Python with experience in data manipulation and analysis libraries (Pandas, Numpy)
Should be able to write complex SQL/Stored Procs
Should have worked on DevOps, Jenkins/Lightspeed, Git, CoPilot
Strong knowledge in one or more of the BI visualization tools such as Tableau, PowerBI
Proven experience in implementing Datalake/Datawarehouse for enterprise use cases
Exposure to analytical tools and AI/ML is desired

Job Responsibility

Hands on with data engineering background and have thorough understanding of Distributed Data platforms and Cloud services
Sound understanding of data architecture and data integration with enterprise applications
Research and evaluate new data technologies, data mesh architecture and self-service data platforms
Work closely with Enterprise Architecture Team on the definition and refinement of overall data strategy
Should be able to address performance bottlenecks, design batch orchestrations, and deliver Reporting capabilities
Ability to perform complex data analytics (data cleansing, transformation, joins, aggregation etc.) on large complex datasets
Build analytics dashboards & data science capabilities for Enterprise Data platforms
Communicate complicated findings and propose solutions to a variety of stakeholders
Understanding business and functional requirements provided by business analysts and convert into technical design documents
Work closely with cross-functional teams e.g. Business Analysis, Product Assurance, Platforms and Infrastructure, Business Office, Control and Production Support

Fulltime

Deployed Transformation Engineer

avis budget group

Location:
United States , Parsippany

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 06, 2025

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avis budget group

Location:United States , Parsippany

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Job Description:

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Requirements:

Nice to have:

Additional Information:

Job Posted:December 06, 2025

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