911 Meta jobs in Ireland

About Leading Social

Leading Social is a performance-driven digital marketing agency specialising in paid social and email marketing for Shopify brands. We help eCommerce businesses scale profitably, using data-driven strategies and a strong focus on financial efficiency.

Now, we're looking for a Meta & TikTok Ads Specialist to join our team and help scale paid social campaigns for eCommerce brands.

The Role

As a Meta & TikTok Ads Specialist, you'll be responsible for planning, executing, and optimising paid social campaigns that drive profitable customer acquisition and retention. You'll work closely with our creative and strategy teams to ensure campaigns are hitting performance targets and scaling efficiently.

What You'll Be Doing

• Building, launching, and managing Paid Social campaigns across Meta (Facebook & Instagram) and TikTok for eCommerce brands.
• Optimising campaigns for conversions, revenue growth, and profitability, ensuring strong NCAC (New Customer Acquisition Cost) and MER (Marketing Efficiency Ratio).
• Scaling TikTok ads, testing new strategies, and leveraging promotions to drive product sales.
• Collaborating with our creative team to test and refine ad creatives for best performance.
• Analysing campaign data and performance metrics, identifying trends and opportunities for improvement.
• Testing and iterating on audience targeting, bidding strategies, and creative variations to drive the best possible ROAS.
• Staying ahead of platform updates and emerging trends, ensuring our clients remain competitive in the paid social space.

What We're Looking For

• 2+ years of experience managing Paid Social campaigns for eCommerce brands.
• Strong knowledge of Meta Ads Manager & TikTok Ads Manager, with experience optimising for conversions.
• A proven track record of scaling ad spend profitably and achieving strong performance metrics.
• A strong analytical mindset – you're comfortable interpreting data and making data-driven decisions.
• Creative and performance-focused – you understand what makes a high-converting ad and enjoy testing new creative angles.
• A test-and-learn approach – you're always looking for ways to optimise and scale campaigns.
• A passion for eCommerce, digital marketing, and the ever-changing world of paid social.

What We Offer

• The opportunity to work with high-growth eCommerce brands and scale ad accounts profitably.
• A data-driven environment where results matter – we focus on revenue, not just engagement.
• A supportive and collaborative team of experts in performance marketing, creative, and analytics.
• Access to the latest tools, platforms, and ad tech to help you do your best work.
• Hybrid/Remote working flexibility – work from our Dublin office or remotely.
• A clear path for growth, learning, and career development in paid social.

Job Type: Full-time

Pay: €30,000.00-€50,000.00 per year

Benefits:

• Company events
• Sick pay
• Work from home

Work Location: Hybrid remote in Rathmines West, Dublin, CO. Dublin

About BigLook

BigLook is a commercialisation project at Trinity College Dublin, embedded within the ADAPT Centre. The project is focused on the research and development of AI-driven art intelligence technology. We are advancing the state of the art in multimodal artificial intelligence for the cultural sector, focused on developing a "System of Work" for the global art market powered by a domain-specific Large Multimodal Model (LMM) and a suite of AI Agents. Our work integrates cutting-edge research in computer vision, natural language processing, vision-language models, generative AI, and reinforcement learning with human feedback, translating these into production-grade systems capable of nuanced visual analysis, metadata extraction, and generative interpretation of artworks. Collaborating closely with art historians, galleries, and collectors, we combine rigorous AI research with domain expertise to produce robust, high-fidelity models that deliver novel insights into visual creativity.

About the role

The Research AI Developer will architect and implement a domain-specialized LMM for the art domain, integrating high-resolution imagery, textual metadata, and instructional data via advanced transformer-based architectures to produce semantically aligned joint embeddings. The system will support expert-level visual analysis, fine-grained attribute extraction, taxonomy classification, personalised recommendations, and context-aware generative tasks.

You will apply state-of-the-art generative models (diffusion, GANs, transformer decoders) with domain-aware conditioning, alongside transfer learning, meta-learning, and few/zero-shot strategies to handle heterogeneous styles, rare classes, and evolving art taxonomies. The role involves fine-tuning vision-language transformers using parameter-efficient techniques (LoRA, adapters), implementing hierarchical and cross-modal attention, and optimising multimodal alignment losses for semantic coherence. RLHF pipelines will be developed to align outputs with expert evaluative heuristics.

You will also be responsible for architecting and implementing sophisticated autonomous agents that can reason, plan, and execute complex tasks across the art market ecosystem. This involves designing agents capable of dynamic goal formulation, strategic task decomposition, and adaptive learning in response to real-time market data. A key focus will be on developing novel algorithms for agent communication and coordination, exploring techniques beyond standard protocols to enable emergent collaborative behaviors.

This position combines foundational multimodal AI research with production-grade deployment, delivering a robust, high-fidelity LMM optimised for subjective, high-variance visual art interpretation and creation.

Key Responsibilities

• Architect and Advance Domain-Specific LMMs
   – Design, pre-train, and fine-tune state-of-the-art multimodal architectures (e.g., BLIP-2, Llama 4) for deep art analysis, integrating high-resolution imagery, structured/unstructured metadata, and provenance records into unified semantic embeddings.
• Generative AI Pipelines for Art
   – Develop advanced generative systems leveraging diffusion models, StyleGAN variants, and autoregressive transformer decoders with domain-specific conditioning for style transfer, restoration, synthesis, and augmentation of artworks.
• Adaptive Learning for Rare and Evolving Styles
   – Implement domain adaptation, meta-learning, and few/zero-shot generalisation strategies to support emerging art demands, categories, and ontologies in the art market.
• Efficient and Scalable Fine-Tuning
   – Employ parameter-efficient training to adapt foundation LMM/LLM models to the art domain while optimising GPU/TPU resource utilisation.
• Human-Aligned Multimodal Reasoning
   – Design and run RLHF pipelines and preference-modelling loops that incorporate feedback from art historians, curators, and valuation experts, ensuring subjective alignment in interpretive tasks.
• Attention Optimisation and Multiscale Contextual Modelling
   – Engineer hierarchical, cross-modal, and sparse attention mechanisms (e.g., Performer, LongNet) to capture fine-grained visual detail and contextual relationships across large, heterogeneous datasets.
• Research-to-Product Translation
   – Rapidly prototype, benchmark, and productionise research innovations, bridging SOTA academic models with deployable APIs and scalable MLOps pipelines optimised for low-latency, high-fidelity outputs.
• Evaluation Beyond Accuracy
   – Establish hybrid evaluation frameworks combining quantitative metrics (BLEU, CIDEr, CLIPScore, FID) with qualitative expert panel reviews, cultural expert checks, and subjective aesthetic scoring.
• Multi-agent framework
  – Design and implement a scalable, asynchronous multi-agent framework, creating robust systems for agent communication, task delegation, and coordinated execution.
• Cross-Disciplinary Collaboration
   – Work with art experts to define ontology schemas, annotation protocols, and evaluation rubrics that guide both supervised learning and self-supervised representation learning pipelines.

Essential Qualifications & Experience

• At least 4 years of relevant experience in AI, machine learning, or data science.
• Strong background in deep learning and computer vision. Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow).
• Demonstrated experience with transformer-based architectures and attention mechanisms.
• Experience with vision-language or multimodal models (e.g., CLIP, Vision Transformers, GPT-4V) and generative models (GANs, diffusion).
• Familiarity with advanced fine-tuning methods (LoRA), RLHF techniques, and few-shot/zero-shot learning paradigms.
• Familiarity with multi-agent system frameworks such as LangGraph, AutoGen, or CrewAI.
• Solid understanding of agentic design patterns, planning algorithms, and inter-agent communication protocols.
• Creative problem-solving skills & a track record of innovation (publications or projects).
• Teamwork abilities for collaborating in a multidisciplinary startup environment.
• Master's or PhD in Computer Science, Artificial Intelligence, or comparable commercial experience.

All applicants should have a valid work permit or legal right to work in Ireland.

Overview
We are seeking a curious, collaborative, and proactive professional who is passionate about Generative AI to join our newly formed central AI team. As a Generative AI Developer, you will build innovative generative AI applications for business users. This role blends full-stack development with cutting-edge AI methods, delivering impactful solutions from data integration to user interfaces.

Key Responsibilities

• Collaborate with stakeholders to identify AI use cases and integrate solutions into workflows.
• Develop data pipelines for structured and unstructured data to support AI workflows.
• Process unstructured data using NLP and LLM techniques.
• Implement and optimize Retrieval-Augmented Generation (RAG), agentic AI applications, and LLM integrations.
• Build intuitive user interfaces for web and desktop platforms.
• Create dashboards to visualize AI insights and model performance.
• Deploy and monitor AI applications using Docker, Kubernetes, VMs, and enterprise schedulers.
• Maintain and support AI applications for reliability and performance.
• Ensure compliance with security and ethical standards in AI development.

Required Experience
What we're looking for

• 8+ years of experience with Python or .NET/C#, building production-grade applications and data pipelines
• Proficiency with SQL/NoSQL databases and data integration.
• Familiarity with OOP, DevOps, CI/CD, Docker/Kubernetes, automated testing, and debugging.
• Experience with LLM APIs (OpenAI, Azure, Gemini, Claude) and frameworks (LangChain, LlamaIndex, MCP).
• Understanding of RAG, vector databases, embeddings, and inference techniques.
• Knowledge of prompt engineering techniques (prompt chaining, chain-of-thought, multi-shot).
• Proficiency with developer tools like GitHub Copilot, Cursor AI, Windsurf.

Preferred (Not Required) Experience

• .NET development (C#).
• Familiarity with open-source AI platforms (Hugging Face, Ollama).
• Basic understanding of AI/ML Ops and model hosting.
• Experience with Gen AI evaluation and prompt tuning.
• Cloud platform experience (Azure, GCP, AWS).
• Frontend development for web and desktop UI/UX.
• Understanding of secure authentication (SSO, LDAP) and data handling.
• Financial knowledge or willingness to learn finance basics.
• Basic knowledge of traditional AI, ML, neural networks, and NLP.

Qualifications

• Bachelor's degree in Computer Science or related field.
• Training in Generative AI is advantageous but not essential.

Candidate Profile

• Strong communicator and team collaborator.
• Quick learner, adaptable to new technologies.
• Results-driven with a focus on high-quality solutions.
• Committed to mentorship and team development.
• High integrity and conscientious about compliance and security.

If you're a recruiting agency and want to partner with us, please reach out to . Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

Position Overview

The Data Scientist is responsible for discovering the information hidden in vast amounts of data and supporting the business in making smarter decisions thereby driving significant business efficiencies. The primary focus will be in applying data mining techniques, doing statistical analysis, building high quality prediction systems and collaborating with key business stakeholders to optimize and streamline reporting and metrics, and implement solutions to create better business value.

KEY DUTIES/RESPONSIBILITIES

• Work on the process of translating technical objectives into defined problems that can be solved by applying data science.
• Design algorithms to address current technical problems.
• Work closely with COE Team members to apply advanced analytics, modelling and simulation to replicate and anticipate issues.
• Uncover new technical problems that need to be solved and support better decision-making.
• Communicate data analysis and insights using rich visualization tools (e.g. Tableau; MicroStrategy; R; Power BI) and leverage data to present compelling cases to optimize solutions.
• Perform exploratory data analysis, generate and test working hypothesis, and uncover important trends and relationships.
• Provide expertise on mathematical concepts and inspire adoption of advanced analytics.

EDUCATIONAL REQUIREMENTS

• A recognised Degree in Applied Statistics, Maths or a related quantitative discipline.
• Master's Degree in applied statistics, applied maths, or related quantitative discipline preferred.

PREVIOUS WORK EXPERIENCE & SKILLS

• Minimum of 2 years of relevant experience
• Experience with relational databases, information and insights.
• Experience with modelling software, data mining techniques and methodologies.
• Experience with visualization software (Tableau, MicroStrategy).
• Experience leveraging cloud platforms and developing in SQL.
• Superior critical thinking, analytical and problem-solving skills.
• Passionate, creative and forward-thinking individual.

COMMUNICATION COMPLEXETIES

• Must be able to communicate complex solutions to nontechnical stakeholders in a way that can easily be understood. Data-science software tools can help visualize findings, but strong verbal communication skills are required to tell the story clearly.
• Work closely with Centre Of Excellence team members to apply advanced analytics, modelling and simulation to replicate current issues and develop solutions.
• Communicate data analysis and insights using rich visualization tools
• Able to inspire adoption of advanced analytics through effectively communicating the benefits.

CULTURAL DIVERSITY

• Establish a worldwide network of contacts within the Company with broad culture diversity.
• Ability to work within multi-cultural organisation and to leverage diversity.

Skills

Data Analysis; Data Science; Structured Query Language (SQL); Tableau (Software); Data Mining

We are recruiting a Data Scientist, it's a full time 37.5 hour position.

Musgrave is one of Europe's most successful family-owned businesses with a 140-year heritage in food and brand innovation, supporting communities across the island of Ireland and Spain.

Every day we feed one in three people in Ireland through 11 market leading food and beverage brands that include SuperValu, Centra, Frank and Honest and Musgrave Market Place. We are proud to support thousands of retail and foodservice family businesses who live and work in the heart of the communities they serve.

Our Data and Analytics team is expanding, and we are looking for passionate and talented Data Scientists to join the team and make Musgrave a truly data driven company. You will use advanced analytics and big data technologies to drive better actions for our business; personalising customer's needs across all channels, implementing more efficient processes, optimising marketing spend and driving new data-based income streams.

What you'll be doing:

Reporting to Data Analytics Manager and working across Retail, Wholesale and Support areas.

• Use abstract thinking and problem-solving skills to identify business opportunities and pinpoint problems
• Drive data science initiatives requiring a variety of analytical and business skills across our business, including customer behaviour, segmentation, loyalty, marketing, media, online and trading.
• Provide business partners with data driven insights to streamline processes, generate revenue and improve bottom line performance.
• Clearly and concisely explain technical findings to non-analytical peers and business stakeholders.
• Utilise best in class data mining and statistical techniques to derive business value from store, product, operations, financial, and customer transactional data.
• Support our personalisation, data monetisation and business agendas by using advanced techniques to deeply understand customer behaviours/needs, evolving customer trends, and providing tailored shopper experiences consistently across all channels.
• Provide a strong data-driven voice to the rest of the business and be an advocate for using analytics to solve problems and create business value.
• Able to coach, develop and lead Graduates and Junior Data Scientists

What we're looking for:

• 3 – 5 years' experience in a similar role.
• Passionate about using data, analytics and AI to drive business performance
• Proven track record of using advanced solutions that have transformed business performance.
• Ability to query large data sets using SQL with experience with cloud-based environments an advantage
• Proficient in using Python or R.
• Experience applying computational algorithms and statistical methods to structured and unstructured data.
• Experience with exploring and developing solutions in Databricks is a plus.
• Experience combining analytic methods with advanced data visualizations.
• Ability to breakdown and clearly define problems.
• Demonstrated ability to own and deliver projects that deliver real business value.
• Strong communication, presentation and influencing skills.
• A third level qualification in Statistics, Computer Science, Data Science (or equivalent qualification), preferably at post-graduation level.
• Experience coaching or mentoring data scientists or analysts

What we Offer or Why Musgrave:

Career Development: With a commitment to your personal and professional growth, Musgrave offers numerous opportunities for advancement and learning.

Collaborative Environment: Work alongside a passionate team, where your contributions will make a significant impact

Innovation Focus: Be part of a company that values forward-thinking solutions

Community Focus: Be part of a company that truly values its communities and strives to make a positive impact.

Be Part of a Legacy: Join a company with a long-standing commitment to community and innovation.

Are you ready to make a difference? Apply now and join is in creating a future where business success and positive change go hand in hand

Work location is flexible in the republic of Ireland. We have offices in Cork and Dublin. Work Smart hybrid work arrangement applies for this role. Frequent travel to Cork.

Musgrave is an equal opportunities employer. We encourage applications from diverse candidates. If we can make any accommodations to enable you to be the best version of yourself during the interview, please let us know.

Musgrave operate a Work Smart hybrid working model where you can alternate your time between connecting and collaborating in the business and working remotely. Occasional business travel to other locations will also be required

TBC

About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About The Team
Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background.

What you'll do

We're looking for a variety of Data Scientists to partner with the Product, Finance, Payments, Risk, Growth and Go-to-Market teams. You'll work closely with a specific part of the business, playing a crucial role in optimizing our systems and leveraging data to make strategic business decisions. As Data Scientists as Stripe, it's our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics.

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum Requirements

• 3-8+ years of data science/quantitative modeling experience
• Proficiency in SQL and a computing language such as Python or R
• Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
• Experience in working with cross-functional teams to deliver results
• Ability to communicate results clearly and a focus on driving impact
• A demonstrated ability to manage and deliver on multiple projects with a high attention to detail
• Solid business acumen and experience in synthesizing complex analyses into actionable recommendations
• A builder's mindset with a willingness to question assumptions and conventional wisdom

Preferred Qualifications

• Experience deploying models in production and adjusting model thresholds to improve performance
• Experience designing, running, and analyzing complex experiments or leveraging causal inference designs
• Experience with distributed tools such as Spark, Hadoop, etc.
• A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)

In-office expectations

Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in our Bucharest, Romania site have an 80% in-office expectation, and those in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible.

Pay and benefits

The annual salary range for this role in the primary location is €69,600 - €153,600. This range may change if you are hired in another location. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process.

Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant's location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends.

Are you ready to bring your expertise to a household name in the industry? Partnering with a client an experienced
Data Scientist
to join a dynamic team.

In this hybrid role, you will leverage advanced analytics to solve complex business challenges and deliver actionable insights that drive decision-making at every level.

Key Responsibilities

• Work closely with stakeholders across the business to understand requirements and translate them into analytical solutions.
• Apply advanced statistical and machine learning techniques (forecasting, clustering, optimization, etc.) to support business objectives.
• Query and manipulate large datasets using SQL and analytical programming languages (Python, R, or similar).
• Develop and deliver data visualisations and dashboards using tools such as Tableau, Qlik, or Power BI.
• Communicate insights clearly, demonstrating the business benefits of analytics to both technical and non-technical audiences.
• Operate effectively in a fast-paced environment, balancing multiple priorities while ensuring high-quality output.

About You

• Minimum of
  5 years' experience
  in a similar data science or advanced analytics role.
• Proficient in
  R, Python, or other analytical programming languages
  .
• Strong SQL skills and proven ability to work with large-scale databases.
• Experience in
  cloud-based environments
  (advantageous).
• Skilled in the use of
  BI and data visualisation tools
  such as Tableau, Qlik, or Power BI.
• Strong interpersonal and stakeholder management skills, with the ability to influence and build relationships across the business.
• Excellent written and verbal communication skills, including experience presenting findings to senior stakeholders.
• Third-level qualification in
  Statistics, Computer Science, Analytics
  , or a related discipline (or equivalent experience).
• A self-starter with attention to detail, logical decision-making, and the ability to thrive in a dynamic environment.

Your career at Deutsche Börse Group
Your Area of Work
Join Clearstream Fund Services as a Data Scientist to design and prototype data products that empower data monetization and business users through curated datasets, semantic models, and advanced analytics. You'll work across the data stack—from pipelines to visualizations—and contribute to the evolution of AI-driven solutions.

Your Responsibilities

• Prototype data products including curated datasets and semantic models to support data democratization and self-service BI
• Design semantic layers to simplify data access and usability
• Develop and optimize data pipelines using data engineering tool (e.g. Databricks)
• Use SQL, Python, and PySpark for data processing and transformation
• Create Power BI dashboards to support prototyping and reporting
• Apply ML/AI techniques to support early-stage modeling and future product innovation
• Collaborate with data product managers, functional analyst, engineers, and business stakeholders
• Ensure data quality, scalability, and performance in all deliverables

Your Profile

• Master's in Data Science, Computer Science, Engineering, or related field
• 3+ years of experience in data pipeline development and prototyping
• Proficiency in SQL, Python, and PySpark
• Hands-on experience with Databricks
• Experience building Power BI dashboards and semantic models
• Strong analytical and communication skills
• Experience in financial services or fund administration
• Fluent in English

Athena Analytics provide software the "Athena Tracker" to educational institutions. This software uses machine learning to identify a student's potential. The student's performance throughout school is then tracked against this for the purpose of highlighting when they dip below their own unique potential and may require some additional support. We recognise that each student's pathway through school is unique. Success is different for each student. Traditionally academic tracking is focused on both the high achievers and the students that require most support. Our software aims to ensure that every student gets this type of attention and no student gets missed in a busy school system. Over 400 schools are using the Athena Analytics products.

Any role at Athena Analytics will suit someone who is passionate about improving the education experience in Ireland for all involved, someone who has a keen interest in data science and it's applications.

We are looking for a hands-on Data Scientist to take ownership of this core predictive model and the Python-based backend it runs on. This role requires not just strong technical skills, but also the ability to work independently, deliver production-ready code, and collaborate proactively with a small team. The role involves replacing and improving existing legacy code, so experience with working in real-world, imperfect codebases is essential.

This can be a fully remote role, but the person must be available during Irish working hours and willing to collaborate regularly online. This role is part-time, approximately 2-3 days per week but may grow to a full-time role.

Responsibilities:

• Fully rewrite and maintain the core Python model behind the Athena Tracker, currently used by 400+ schools.

• Build and maintain data pipelines that process, clean, and load large datasets from school MIS systems.

• Work with other team members (developers, designer, support) to ensure the data science components are robust, scalable, and aligned with product needs.

• Maintain a clear focus on delivery and avoid excessive exploratory work unless required for direct product improvements.

• Help publish technical documentation or articles related to Athena's work in education analytics.

• Be available for regular check-ins, share progress clearly, and ask questions early when roadblocks arise.

Minimum Requirements:

• Strong Python skills, especially with pandas, numPy, and scikit-learn or LightGBM.

• Experience writing and maintaining production-level code — not just notebooks or prototypes.

• Strong SQL and data manipulation skills.

• Demonstrated ability to work independently and deliver well-tested, documented code.

• Good communication skills and evidence of working well in a small team or startup setting.

• Knowledge of the Irish secondary school system or interest in improving education systems.

Desirable (but not required):

• Familiarity with Docker and model deployment practices.

• Prior involvement in publishing articles or technical documentation.

Deliverables:

• Re-written code base