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A leading global data consultancy is searching for an experienced Machine Learning Solutions Architect to join its growing, remote-first team. Partnering with major cloud platforms (Primarily Snowflake, AWS & Databricks), this company delivers cutting-edge services designed to solve complex data challenges for large enterprises.

What You'll Do:

* Architect and implement data science deployment solutions tailored to enterprise client needs, focusing on model inference, monitoring, retraining, and infrastructure setup.
* Collaborate with data scientists to prepare and transform data into production-ready formats.
* Build environments for model development and testing, ensuring operational readiness and maintainability.
* Design integration strategies with existing business systems to ensure scalability and long-term success.
* Lead efforts in model QA, testing, validation, and production rollout.
* Champion best practices for software development, model deployment, and infrastructure.

What You Bring:

* 6+ years of experience in roles such as ML Engineer, Software Engineer, or Data Engineer. However some kind of background in data engineering is crucial for the role
* Strong background in Python, Scala, Java, or comparable languages.
* Proficient in deploying models in real-world production environments.
* Expertise in SQL and distributed computing tools (e.g., Spark, Snowflake, Databricks).
* Familiarity with various data sources and systems (Kafka, RDBMS, cloud platforms).
* Solid grasp of cloud infrastructure and architecture (e.g., AWS, Azure, GCP).
* Experience in developing APIs or backend applications using modern frameworks.

Preferred Qualifications:

* Advanced degree in a relevant technical field.
* Hands-on experience with ML tools and frameworks such as TensorFlow, Keras, scikit-learn, or H2O.
* Experience with containerization tools like Docker or Kubernetes.
* Familiarity with model management tools (MLflow, Sagemaker, Azure ML).
* Contributions to open-source projects or relevant personal initiatives.

Benefits:

* Flexible, remote-first working model.
* Culture that values creativity, autonomy, and team collaboration.
* Competitive compensation, strong benefits, and generous PTO.
* Ongoing professional development including certification opportunities.
* Inclusive environment where diverse perspectives are welcomed and celebrated.



Equal Opportunity:
This company is committed to diversity and inclusion, offering a workplace that supports all employees regardless of background, identity, or experience. Accommodations are available for applicants with disabilities.

Position Title: Data Analyst

Job Overview:

The Data Analyst will support data analysis and reporting efforts, handling everything from data acquisition to generating insights. This role involves working with technical teams to extract and analyse data from the company's central repository using advanced reporting tools. The Analyst will provide actionable insights and recommendations that help inform decision-making processes across the organization.

Key Responsibilities:

* Data Analysis & Reporting: Analyse organizational performance and trends, identifying significant patterns, outliers, and factors that impact outcomes.

* Insight Generation: Investigate data to reveal patterns and behaviours that can inform business decisions and improve overall performance.

* Strategic Recommendations: Provide recommendations based on analysis to assist leadership with both strategic and operational decisions.

* Reporting & Presentations: Prepare and present reports to key stakeholders, helping guide data-driven decision-making.

* Validation Studies: Conduct studies using external data sources to support the company's overall value proposition.

* Data Strategy Development: Propose and implement strategies to enhance data management, accessibility, and reporting processes.

* Technical Tools Usage: Leverage reporting tools such as MicroStrategy to generate in-depth reports and analyses from the data warehouse.

* Flexible Role: This job description outlines the general responsibilities, but additional tasks may arise as needed.

Qualifications:

* Education: Bachelor's degree in Computer Science, Information Technology, or a related field (graduate degree preferred).

* Experience: Typically requires 5+ years of experience in data analysis, with a strong background in handling large data sets and proficiency with tools such as SPSS, MS-SQL, PL/SQL, SQL, Access, or Python.

* Experience with data visualisation and reporting tools like Power BI, MicroStrategy, or Tableau is essential.

* Ability to independently manage tasks and offer support to junior team members when needed.

* Strong project management and presentation skills are crucial.

Skills & Competencies:

* Demonstrates core values such as attention to detail, initiative, and adaptability.

* Strong problem-solving abilities, with a logical approach to analysing data and providing solutions.

* Excellent communication and interpersonal skills, able to present data clearly and professionally.

* Capacity to handle confidential information, ensuring compliance with policies and regulations.

* Advanced proficiency in Microsoft Office and other related software.

* In-depth experience working with database tools and providing technical recommendations to streamline processes.

* Flexible and adaptable to changing priorities, with the ability to meet deadlines in a fast-paced environment.

Position Title: Data Analyst

Job Overview:

The Data Analyst will support data analysis and reporting efforts, handling everything from data acquisition to generating insights. This role involves working with technical teams to extract and analyse data from the company's central repository using advanced reporting tools. The Analyst will provide actionable insights and recommendations that help inform decision-making processes across the organization.

Key Responsibilities:

* Data Analysis & Reporting: Analyse organizational performance and trends, identifying significant patterns, outliers, and factors that impact outcomes.

* Insight Generation: Investigate data to reveal patterns and behaviours that can inform business decisions and improve overall performance.

* Strategic Recommendations: Provide recommendations based on analysis to assist leadership with both strategic and operational decisions.

* Reporting & Presentations: Prepare and present reports to key stakeholders, helping guide data-driven decision-making.

* Validation Studies: Conduct studies using external data sources to support the company's overall value proposition.

* Data Strategy Development: Propose and implement strategies to enhance data management, accessibility, and reporting processes.

* Technical Tools Usage: Leverage reporting tools such as MicroStrategy to generate in-depth reports and analyses from the data warehouse.

* Flexible Role: This job description outlines the general responsibilities, but additional tasks may arise as needed.

Qualifications:

* Education: Bachelor's degree in Computer Science, Information Technology, or a related field (graduate degree preferred).

* Experience: Typically requires 5+ years of experience in data analysis, with a strong background in handling large data sets and proficiency with tools such as SPSS, MS-SQL, PL/SQL, SQL, Access, or Python.

* Experience with data visualisation and reporting tools like Power BI, MicroStrategy, or Tableau is essential.

* Ability to independently manage tasks and offer support to junior team members when needed.

* Strong project management and presentation skills are crucial.

Skills & Competencies:

* Demonstrates core values such as attention to detail, initiative, and adaptability.

* Strong problem-solving abilities, with a logical approach to analysing data and providing solutions.

* Excellent communication and interpersonal skills, able to present data clearly and professionally.

* Capacity to handle confidential information, ensuring compliance with policies and regulations.

* Advanced proficiency in Microsoft Office and other related software.

* In-depth experience working with database tools and providing technical recommendations to streamline processes.

* Flexible and adaptable to changing priorities, with the ability to meet deadlines in a fast-paced environment.

Job Title: D365 Business Central Consultant - Manufacturing Optimization

Job Description: I am working with a client who is seeking a skilled D365 Business Central Consultant to help improve and streamline our manufacturing processes. In this role, you will analyze current workflows, identify inefficiencies, and implement best practices using Microsoft Dynamics 365 Business Central. Your expertise in manufacturing operations and ERP solutions will drive automation, enhance productivity, and ensure seamless system integration.

Key Responsibilities:

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Assess and optimize manufacturing workflows using D365 Business Central
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Configure and customize the system to align with business needs
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Provide training and support to users for successful adoption
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Troubleshoot issues and recommend process improvements
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Collaborate with stakeholders to enhance operational efficiency

Requirements:

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Proven experience with D365 Business Central in a manufacturing setting
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Strong knowledge of ERP implementation and process automation
* InsightWorks is nice to have
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Ability to analyze business needs and develop effective solutions
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Excellent communication and problem-solving skills

This role is ideal for a proactive consultant who thrives on improving operations and driving digital transformation in manufacturing.

🚀 Join Our Team as a Senior Systems Consultant - ERP & Infrastructure

Are you a seasoned IT professional with a deep understanding of ERP systems and enterprise infrastructure? We're looking for a Senior Systems Consultant to join our expert team and play a key role in supporting and optimizing our ERP environment and virtualization infrastructure.

🔍 About the Role

As a Senior Systems Consultant - ERP & Infrastructure, you will be responsible for designing, implementing, and supporting ERP solutions-primarily Microsoft Dynamics Great Plains (GP)-alongside managing enterprise infrastructure using VMware and Citrix technologies. You'll serve as a technical leader across cross-functional teams, ensuring stable, secure, and high-performing systems that support critical business operations.

✅ Key Responsibilities

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Administer, support, and optimize Microsoft Dynamics GP, including integrations, upgrades, and troubleshooting.
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Design and maintain virtualization environments using VMware vSphere.
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Deploy and manage Citrix environments for remote access and application delivery.
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Work with stakeholders to identify business requirements and translate them into technical solutions.
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Provide hands-on support for infrastructure projects, patch management, disaster recovery, and security compliance.
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Mentor junior team members and collaborate with cross-functional departments on system and process improvements.

🧩 What You'll Bring

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5+ years of experience in systems administration or consulting roles with a focus on ERP and IT infrastructure.
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Strong expertise in Microsoft Dynamics Great Plains - installation, configuration, and troubleshooting.
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Hands-on experience with VMware vSphere - including ESXi hosts, vCenter, and virtual networking/storage.
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Proficiency in Citrix Virtual Apps and Desktops, Citrix ADC (NetScaler) preferred.
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Experience with Windows Server, Active Directory, and SQL Server environments.
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Excellent analytical, problem-solving, and communication skills.

🌟 Bonus Skills (Nice to Have)

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Familiarity with Power BI or SSRS for ERP reporting.
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Experience with Office 365, Azure, or other cloud platforms.
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IT certifications (e.g., MCSE, VCP, CCA-V) are a plus.

💼 Why Work With Us?

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Collaborative, growth-oriented environment
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Flexible working arrangements
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Competitive salary and benefits package
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Opportunities for professional development and certification

📨 Apply Now and bring your ERP and infrastructure expertise to a team that values innovation and excellence.

Remote Role

A leading organization at the forefront of modern data solutions is seeking a Principal Solutions Architect specializing in Machine Learning. Partnering with major cloud providers such as AWS, Azure, GCP, and Snowflake, their team helps enterprises navigate their most complex data challenges with innovative and scalable solutions.

The company fosters a vibrant culture rooted in curiosity, ownership, and mutual trust. Despite their rapid growth, they maintain an engaging, flexible environment focused on delivering excellence while supporting personal and professional development.



Key Highlights:

* Multiple-time Partner of the Year with top cloud platforms
* 600+ advanced cloud certifications (AWS, Azure, Snowflake, and more)
* Recognized as a best place to work across multiple regions



Role Overview: In this role, you will lead the architecture and delivery of advanced AI/ML solutions, while simultaneously cultivating client relationships and uncovering new growth opportunities. This position demands a rare blend of technical leadership, client advocacy, and strategic thinking.



Primary Responsibilities:

Technical Leadership & Delivery:

* Design end-to-end AI/ML solutions ensuring scalability, robustness, and business alignment
* Lead teams of engineers and data scientists to build sophisticated ML platforms, pipelines, and products
* Articulate the business impact and ROI of machine learning initiatives to diverse audiences
* Mentor team members on emerging best practices and industry standards
* Stay current on evolving AI/ML tools and methodologies to shape future solutions

Client Engagement & Account Development:

* Forge strong client relationships to understand their AI/ML vision and translate it into actionable roadmaps
* Present compelling technical strategies that drive client adoption and success
* Identify opportunities for additional client value through expanded AI/ML solutions
* Lead responses to RFIs and RFPs, emphasizing innovative and results-driven approaches



Required Qualifications:

* Extensife experience in AI/ML architecture, software engineering, or data science
* Significant leadership experience in a consulting environment
* Bachelor's degree in Computer Science, Engineering, or related field
* Strong expertise deploying machine learning models in production environments
* Demonstrated success in account growth, solution pre-sales, and proposal development
* Deep knowledge of AI/ML ecosystems (AWS, GCP, Azure, Databricks, Vertex AI, SageMaker)
* Proficient in Python, Scala, Java, or other modern programming languages
* Experience with building scalable data pipelines and API/web server development
* Full software development lifecycle experience



Preferred Skills:

* Master's degree or other advanced qualifications
* Contributions to open-source AI/ML projects
* Familiarity with ML libraries (TensorFlow, Keras, scikit-learn, h2o, etc.)
* Experience with Docker, Kubernetes, MLflow, and Sagemaker/Azure ML



Benefits:

* Remote-first work environment
* Award-winning, collaborative culture emphasizing creativity and autonomy
* Competitive compensation and benefits, including 4 weeks PTO plus holidays
* Ongoing investment in advanced training and professional certifications



Those interested should apply to this advertisement with their resume & contact details. Candidates are being shortlisted this week.

This role focuses on building scalable data pipelines, integrating diverse data sources, and enabling predictive analytics across cloud environments.



Key Technical Requirements:

* Strong hands-on experience developing data pipelines using Python
* Strong SQL skills, including performance tuning, stored procedures, and data modeling (Star/Snowflake schemas)
* Proven experience with Azure Data Factory (ADF) and Azure Synapse
* Experience with ETL orchestration tools such as Apache Airflow
* Skilled in working with structured and unstructured data, including ingestion from APIs (REST/JSON/XML)
* Familiarity with cloud-based warehousing tools such as Snowflake, Redshift, or BigQuery
* Comfortable working in Azure and/or hybrid cloud environments (Azure/AWS)
* Experience supporting machine learning or predictive modeling pipelines
* Familiar with containerization and version control: Docker, Git, and Azure DevOps
* Understanding of data serialization formats (Parquet, Avro, JSON)
* Knowledge of data validation, quality checks, and observability tools (Azure Monitor, logging frameworks, etc.)



Candidates will be expected, during the interview process, to demonstrate deep hands-on technical experience in data pipeline development, cloud orchestration, and ML-ready data infrastructure.



This position will require the successful applicant to work 5 days per week on site.

Dynamics NAV Business Analyst - Hollister, CA

A growing end-user in Northern California is looking for a NAV Business Analyst to bring on-board as their functional NAV subject-matter expert. They are expanding fast and need to ensure their system is keeping up with the growth. No travel is needed for these implementations. This position will work closely with the accounting and finance department, so a strong understanding of finance and the accounting lifecycle is required.

Qualifications:

* Experience with Dynamics NAV including implementations and upgrades
* Partner experience is a plus
* 5+ years of accounting and finance experience
* Manufacturing experience is required
* Strong understanding of Fixed Assets, VAT, workflows, etc.
* Financial implementations within NAV is required

If you would like to apply or learn more about this position, contact me at (972) 805-8409 or email your CV to j.boudreaux@nigelfrank.com.

We are partnered with an innovative HealthTech company in Dallas that is transforming healthcare through advanced data-driven solutions. They are now seeking a talented Data Scientist to join their growing team and help tackle some of the most impactful challenges in healthcare today.

Role Overview:

As a Data Scientist, you will work closely with product, engineering, and clinical teams to develop models and insights that drive better patient outcomes, optimize operations, and enable new product offerings. This is a hands-on role where you will have the opportunity to work with diverse healthcare data sets and apply the latest machine learning and statistical techniques.

Key Responsibilities:



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Design, build, and deploy predictive models to improve patient care and operational efficiency
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Analyze large-scale healthcare data sets (EMR, claims, device data, etc.)
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Collaborate with cross-functional teams to turn insights into actionable product features
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Communicate findings to both technical and non-technical stakeholders
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Stay current with new developments in machine learning, AI, and healthcare analytics



Ideal Candidate:



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5+ years experience in data science or machine learning, preferably in healthcare or life sciences
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Strong programming skills in Python (Pandas, Scikit-learn, etc.)
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Solid understanding of statistical methods, machine learning techniques, and data wrangling
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Experience working with healthcare data sets (FHIR, HL7, claims, EMR) is a plus
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Strong communication skills and ability to thrive in a collaborative environment



Why Join?



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Make an impact on real-world healthcare outcomes
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Work with a collaborative, mission-driven team
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Hybrid work flexibility (Dallas HQ)
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Competitive salary and benefits

We're Hiring: D365 F&O Finance Functional Consultant
📍 Location: Irving, TX (Hybrid)
💼 Industry: End-User - Construction/Project-based Environment

Are you a seasoned D365 Finance & Operations Functional Consultant with a passion for streamlining finance operations and delivering impactful solutions? Join a forward-thinking end-user company in Irving, TX, and be a part of a dynamic digital transformation journey!

What You'll Do:

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Act as the subject matter expert for Dynamics 365 Finance & Operations, focusing on core finance modules (GL, AP, AR, FA, Budgeting, etc.)
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Lead and support Finance-related configurations, testing, and deployment activities
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Collaborate with cross-functional teams to ensure smooth integration with PMA/Project Operations
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Partner with internal stakeholders to translate business requirements into functional designs
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Provide user training, support, and continuous improvement recommendations

Requirements:

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Proven experience with D365 F&O (required)
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Expertise in core Finance modules within D365
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Hands-on experience with Project Management & Accounting (PMA) or Project Operations
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Familiarity with Avalara Tax and ExFlow (preferred)
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Strong understanding of financial processes and best practices
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Consulting and Project Management experience (preferred)
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Background in the construction industry or project-based environments is a strong plus

Why Join Us?

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Be part of a fast-growing, tech-forward company
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Enjoy a collaborative team culture with strong executive support
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Work on innovative projects that directly impact the business
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Competitive compensation & benefits package

Ready to make an impact? Apply now and help shape the future of finance operations with D365 F&O!