Principal ML & AI Engineer Job at Dynamic Search Solutions

Principal Engineer, AI Strategy and Innovation

Shape the architecture and execution of CLEAR’s AI platform strategy, from infra...

Location

United States , New York

Salary:

250000.00 - 290000.00 USD / Year

Clear

Expiration Date

Until further notice

Requirements

12+ years in software engineering and/or technical experience with deep expertise in AI systems, ML platforms, and data infrastructure
At least 5 years of experience with various AI technologies including GenAI, ML, Deep Learning, RPA or others
Proven ability to scale AI capabilities into high-throughput, low-latency environments
Strong technical background in cloud-native architectures (AWS or similar) and modern AI/ML stacks (TensorFlow/PyTorch, MLflow, RAG, MCP, etc.)
Experience leading AI strategy and platform adoption in enterprise-scale environments
Skilled at translating regulatory and compliance requirements into responsible AI practices
Track record of partnering closely with Product, Engineering, Analytics, and Security teams as well as business executives
Excellent communicator who can set a vision for AI, explain technical trade-offs, and influence executives, peers, and partners
Passionate about embedding AI into core products to deliver measurable impact for members and enterprise partners

Job Responsibility

Define and scale CLEAR’s AI strategy: spanning data pipelines, ML lifecycle management, and intelligent applications
Lead engineering execution for AI models (development, deployment, monitoring, retraining) with a focus on reliability, observability, and ethical AI practices
Modernize analytics and intelligence systems to deliver predictive insights and partner-facing transparency in real time
Operationalize trust in AI by embedding privacy, compliance, and security into all platforms and workflows
Influence cross-functional stakeholders across the business, fostering a culture of technical rigor, collaboration, and innovation, advising C Suite executives, leaders, and individual contributors
Lead the AI Governance group and drive best practices across business functions
Track and optimize KPIs on AI adoption, model performance, scalability, and business impact

What we offer

Comprehensive healthcare plans
Family-building benefits (fertility and adoption/surrogacy support)
Flexible time off
Annual wellness stipend
Free OneMedical memberships for you and your dependents
A CLEAR Plus membership
A 401(k) retirement plan with employer match
Catered lunches every day
Fully stocked kitchens
Stipends and reimbursement programs for well-being and learning & development

Fulltime

Principal AI Engineer

At JFrog, we’re reinventing DevOps to help the world’s greatest companies innova...

Location

Israel , Netanya/Tel Aviv

Salary:

Not provided

JFrog

Expiration Date

Until further notice

Requirements

A bachelor's degree or higher in Computer Science, Data Science, or a related field
Proven experience in software development
Proficiency in LLM-related tools, processes, and frameworks, including OpenAI Models and APIs, Hugging Face Transformers, LangChain, vector databases, and prompt management tools like PromptPerfect/PromptBase and Guardrails
Experience with cloud platforms, such as AWS, Google Cloud, or Azure
Proficiency in Python programming
Experience deploying LLM-based applications in a production environment
Excellent problem-solving and analytical skills
Experience with CI / CD tools
Strong communication skills and the ability to collaborate effectively in a team

Job Responsibility

Recommend and test agentic productivity tools
Collaborate with key organizational stakeholders to understand AI requirements and design end-to-end AI productivity solutions
Explore and experiment with novel ML and AI techniques and architectures to drive DevX and productivity innovation
Evaluate and recommend ML and AI tools and frameworks to enhance productivity and effectiveness
Provide technical guidance and mentorship to development teams on AI and ML technologies and practices
Define meaningful KPIs and closely monitor cost

AI Machine Learning Principal Engineer

Our Regulatory Engineering team thrives on the challenge of operating in a compl...

Location

Singapore , Singapore

Salary:

Not provided

Dell

Expiration Date

March 31, 2026

Requirements

Requires 8+ years of related experience in a professional role with a Bachelor’s degree
or 6+ years with a Master’s degree
or 3+ years with a PhD
or equivalent experience
Knowledge on product compliance, Safety, EMC, Wireless, Telecom and Environmental (e.g. Energy, Material, ECO Labels, Accessibility, Repairability, Packaging and etc.) legislation programs will be plus
Track record of being an enthusiastic and effective team player with experience leading and influencing internal and external stakeholders to ensure successful outcomes

Job Responsibility

Apply knowledge of AI machine learning, statistics, optimization, software engineering and data engineering to produce code for testing, operationalizing and governing software-integrated machine learning models
Works with stakeholders including business owners, software engineers, data scientists and data engineers to align and execute end-to-end solutions which start with data collection and management, extend through machine learning methodologies and efficiencies in software engineering, and end with governance of machine learning model performance
Optimizes code for existing data streams, machine learning models and APIs using best practices in software engineering and experimental design
Defines best practices for AI ML engineering, code optimization, model and system validation and model governance and educates prospects and customers on analytics and machine learning offerings
Leads the design and testing of analytical technologies, or the development/testing of new algorithms/functions to enhance capabilities within key market segments of interest
Leads definition of machine learning and data analytics vision, multiple use-case evaluation and selection criteria, as well as project-level scope definition for customers
Proactively identifies gaps and collaborates with engineering teams to find solutions, while solidifying commitments to execute these
Drives partnerships & relationships with third parties to develop vertical/horizontal analytical solutions and product integrations

What we offer

Comprehensive Healthcare Programs
Award Winning Financial Wellness Tools and Resources
Generous Leave of Absence for New Parents and Caregivers
Industry Leading Wellness Platform
Employee Assistance Program

Principal Consulting AI / Data Engineer

As a Principal Consulting AI / Data Engineer, you will design, build, and optimi...

Location

Australia , Sydney

Salary:

Not provided

DyFlex Solutions

Expiration Date

Until further notice

Requirements

Proven expertise in delivering enterprise-grade data engineering and AI solutions in production environments
Strong proficiency in Python and SQL, plus experience with Spark, Airflow, dbt, Kafka, or Flink
Experience with cloud platforms (AWS, Azure, or GCP) and Databricks
Ability to confidently communicate and present at C-suite level, simplifying technical concepts into business impact
Track record of engaging senior executives and influencing strategic decisions
Strong consulting and stakeholder management skills with client-facing experience
Background in MLOps, ML pipelines, or AI solution delivery highly regarded
Degree in Computer Science, Engineering, Data Science, Mathematics, or a related field

Job Responsibility

Design, build, and maintain scalable data and AI solutions using Databricks, cloud platforms, and modern frameworks
Lead solution architecture discussions with clients, ensuring alignment of technical delivery with business strategy
Present to and influence executive-level stakeholders, including boards, C-suite, and senior directors
Translate highly technical solutions into clear business value propositions for non-technical audiences
Mentor and guide teams of engineers and consultants to deliver high-quality solutions
Champion best practices across data engineering, MLOps, and cloud delivery
Build DyFlex’s reputation as a trusted partner in Data & AI through thought leadership and client advocacy

What we offer

Work with SAP’s latest technologies on cloud as S/4HANA, BTP and Joule, plus Databricks, ML/AI tools and cloud platforms
A flexible and supportive work environment including work from home
Competitive remuneration and benefits including novated lease, birthday leave, salary packaging, wellbeing programme, additional purchased leave, and company-provided laptop
Comprehensive training budget and paid certifications (Databricks, SAP, cloud platforms)
Structured career advancement pathways with opportunities to lead large-scale client programs
Exposure to diverse industries and client environments, including executive-level engagement

Fulltime

Principal Site Reliability Engineer (AI-first SRE)

Groupon is modernizing its global platform — and reliability is at the center of...

Location

Peru

Salary:

Not provided

Groupon

Expiration Date

Until further notice

Requirements

10+ years in software/systems engineering, including 5+ years in SRE or platform reliability
Strong experience with GCP (preferred) or AWS, Kubernetes, and Terraform
Proficiency in Python or Go for automation and tooling
Deep understanding of observability stacks (Prometheus, Grafana, OpenTelemetry) and service meshes (Istio, Envoy)
Hands-on AIOps experience: anomaly detection, predictive analytics, ML-assisted operations
Strong communication and influencing skills — data over hierarchy

Job Responsibility

Architect and maintain self-healing systems with 99.9%+ availability targets
Use AI/ML to automate infrastructure governance and detect configuration or IaC anti-patterns
Implement adaptive SLIs/SLOs that evolve automatically from real-time data
Build AIOps-based observability and auto-remediation pipelines
Apply predictive modeling to forecast failures before they impact users
Lead chaos, performance, and resilience testing programs
Map platform and service behavior to revenue impact and drive improved revenue resilience through better infrastructure performance
Mentor engineers and drive reliability standards across teams
Partner with platform, data, and product teams to ensure stability aligns with business goals
Support major incident response, incident review, and participate in on-call rotations

What we offer

The opportunity to work with cutting-edge technologies in a transformative environment
Professional growth and leadership development pathways tailored to your aspirations
A chance to leave a lasting impact by shaping the future of reliable and scalable systems

Principal ML/AI Software Engineer

We are looking for a Principal Engineer experienced in the ML/AI domain to drive...

Location

Turkey

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

7+ years of experience in Machine Learning engineering, including hands-on work with training/inference pipelines, prompt engineering, and ML systems, demonstrating deep expertise in applied ML
Proven track record of tech-leading AI/ML products from conception to launch
Strong platform mindset - experience building reusable tools/infras to accelerate AI development
Strong programming skills in any OOO programming language - we’re open to candidates from different tech backgrounds
Excellent communication and collaboration skills

Job Responsibility

Define the technical vision and roadmap for AI Foundation and NextGen
End-to-end ownership - from prototyping and development to production
Hands-on work in prompt engineering, model iteration, and training/inference systems
Collaborate with Product, Engineering, Data Science, and UX to align on priorities and deliver measurable impact
Facilitate product and technical decisions, ensuring alignment with business goals
Drive platformization of AI/ML systems to improve scalability, reliability, and adoption across teams
Partner with customer teams to understand needs, build relationships, and expand the scope of AI adoption
Explore and apply state-of-the-art AI/ML techniques to solve novel product challenges
Evaluate in-house model development vs. third-party APIs for ML/AI solutions
Establish best practices for AI development, quality measurement, monitoring, and scalability

What we offer

Health and wellbeing resources
Paid volunteer days

Senior ML Data Engineer

As a Senior Data Engineer, you will play a pivotal role in our AI/ML workstream,...

Location

Salary:

Not provided

Awin Global

Expiration Date

Until further notice

Requirements

Bachelor or Master’s degree in data science, data engineering, Computer Science with focus on math and statistics / Master’s degree is preferred
At least 5 years experience as AI/ML data engineer undertaking above task and accountabilities
Strong foundation in computer science principes and statistical methods
Strong experience with cloud technology (AWS or Azure)
Strong experience with creation of data ingestion pipeline and ET process
Strong knowledge of big data tool such as Spark, Databricks and Python
Strong understanding of common machine learning techniques and frameworks (e.g. mlflow)
Strong knowledge of Natural language processing (NPL) concepts
Strong knowledge of scrum practices and agile mindset

Job Responsibility

Design and maintain scalable data pipelines and storage systems for both agentic and traditional ML workloads
Productionise LLM- and agent-based workflows, ensuring reliability, observability, and performance
Build and maintain feature stores, vector/embedding stores, and core data assets for ML
Develop and manage end-to-end traditional ML pipelines: data prep, training, validation, deployment, and monitoring
Implement data quality checks, drift detection, and automated retraining processes
Optimise cost, latency, and performance across all AI/ML infrastructure
Collaborate with data scientists and engineers to deliver production-ready ML and AI systems
Ensure AI/ML systems meet governance, security, and compliance requirements
Mentor teams and drive innovation across both agentic and classical ML engineering practices
Participate in team meetings and contribute to project planning and strategy discussions

What we offer

Flexi-Week and Work-Life Balance: We prioritise your mental health and well-being, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves as well as volunteer days
Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately
Pension: Awin offers access to an additional pension insurance to all employees in Germany
Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
Development: We’ve built our extensive training suite Awin Academy to cover a wide range of skills that nurture you professionally and personally, with trainings conveniently packaged together to support your overall development
Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program

Senior ML Data Engineer

As a Senior Data Engineer, you will play a pivotal role in our AI/ML workstream,...

Location

Poland , Warsaw

Salary:

Not provided

Awin Global

Expiration Date

Until further notice

Requirements

Bachelor or Master’s degree in data science, data engineering, Computer Science with focus on math and statistics / Master’s degree is preferred
At least 5 years experience as AI/ML data engineer undertaking above task and accountabilities
Strong foundation in computer science principes and statistical methods
Strong experience with cloud technology (AWS or Azure)
Strong experience with creation of data ingestion pipeline and ET process
Strong knowledge of big data tool such as Spark, Databricks and Python
Strong understanding of common machine learning techniques and frameworks (e.g. mlflow)
Strong knowledge of Natural language processing (NPL) concepts
Strong knowledge of scrum practices and agile mindset
Strong Analytical and Problem-Solving Skills with attention to data quality and accuracy

Job Responsibility

Design and maintain scalable data pipelines and storage systems for both agentic and traditional ML workloads
Productionise LLM- and agent-based workflows, ensuring reliability, observability, and performance
Build and maintain feature stores, vector/embedding stores, and core data assets for ML
Develop and manage end-to-end traditional ML pipelines: data prep, training, validation, deployment, and monitoring
Implement data quality checks, drift detection, and automated retraining processes
Optimise cost, latency, and performance across all AI/ML infrastructure
Collaborate with data scientists and engineers to deliver production-ready ML and AI systems
Ensure AI/ML systems meet governance, security, and compliance requirements
Mentor teams and drive innovation across both agentic and classical ML engineering practices
Participate in team meetings and contribute to project planning and strategy discussions

What we offer

Flexi-Week and Work-Life Balance: We prioritise your mental health and well-being, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves as well as volunteer days
Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately
Pension: Awin offers access to an additional pension insurance to all employees in Germany
Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
Development: We’ve built our extensive training suite Awin Academy to cover a wide range of skills that nurture you professionally and personally, with trainings conveniently packaged together to support your overall development
Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program

Principal ML & AI Engineer

Dynamic Search Solutions

Location:
United Kingdom

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 20, 2026

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