Recherche actuelle

Create, implement, and launch cutting-edge machine learning and AI-driven algorithms/predictive models to enhance Underwriting, Customer Management, Marketing, and Operational processes

Evaluate, preprocess, combine, and analyze extensive datasets using standardized data manipulation methods and techniques, utilizing tools like R, Python, and/or Apache Spark

Offer expertise and guidance on third-party data providers including knowledge of available products and data, recommendations on what to purchase or discontinue, cost-benefit analysis, data dictionaries, effective use of variables, and understanding their limitations and advantages

Create, build, and implement both linear and nonlinear algorithms for testing, development, and integration into our underwriting engine, focusing on risk management across all channels

Effectively utilize data mining techniques to optimize response and approval rates and develop strategies to boost the profitability of products

Ensure clear and detailed model documentation on Wiki Server using reproducible research tools like IPython, Rmarkdown, Jupyter Notebook, and others

Deploy scoring models on different platforms, including R, on-premise, and cloud systems, in formats like Java objects, R models, and Apache Spark models.

Serve as the primary point of contact and functional lead for business partners, ensuring support for all needs and objectives

Guide and oversee analytical projects while mentoring Junior Data Scientists



Experience and Education:

A Master's degree in a highly quantitative discipline (e.g. Economics, Statistics, Mathematics, Engineering, or similar fields)

Hands-on experience in Data Science or Modeling.

Competence in Linux and proficiency in R, Python, or Java; experience with version control tools (e.g., Git), as well as big data technologies and frameworks (e.g., Spark, Hadoop).

Proven expertise in advanced statistical modeling and substantial exposure to machine learning techniques such as Random Forest, LASSO, Gradient Boosting, Elastic Net, etc.

Proven ability to thrive in fast-paced environments with shifting priorities, while effectively communicating and collaborating with Risk Management teams and executives.

Strong data manipulation and engineering abilities, with experience in performing complex data transformations

Hands-on experience with a range of database technologies, including but not limited to MSSQL Server, SAS Datasets, Hadoop, Kafka, Spark, Redshift, HBASE, Spark Streaming, Oracle, Neo4j, Teradata, MySQL, Amazon AWS, DB2, Cassandra, PostgreSQL, Apache Hive/Impala, and NoSQL data formats (including XML & JSON ).



Required Skills, Abilities, Soft Skill Factors:

Technological Expertise - Comprehensive knowledge of Python, Scala, R, Java, SAS, SQL, MATLAB, and/or SPSS, along with risk management technologies, enabling the use of these tools to enhance organizational decision-making.

Motivational Abilities - Proven track record of meeting challenging organizational goals, instilling a sense of urgency, and overcoming obstacles to deliver results.

Analytical and Administrative Abilities - Strong problem-solving and analytical thinking skills, with the capacity to assess trends and recommend solutions to complex issues.

Communication Proficiency - Excellent verbal and written communication skills, with the ability to promote open dialogue, listen attentively, and cultivate strong professional relationships.

Innovative Thinking - Continuously challenges conventional approaches to foster new ideas and embraces a flexible mindset.

Adaptability - Demonstrates resilience and effectiveness when dealing with stress, uncertainty, difficult situations, and changing priorities.

Results-Oriented - Self-motivated and proactive in taking ownership of tasks and driving projects to completion.

Tenth Revolution Group are working with a leading real estate firm with over 60 years of history in the space.



The organization are looking to add to a data-driven solutions team. Candidates for this role must come with a masters level degree from a field such as Data Science or similarly analytical specialism. An ability to demonstrate a deep understanding and successful track record in the Machine Learning world is essential to be successful in your application for this position. Particularly as it relates to the design, build and deployment of ML models.



Deep Learning and NLP (Natural Language Processing) are essential requirements for this position, alongside prior experience working hands-on with LLMs (Large Language Models), building advanced systems and RAG pipelines. An ability, and flexibility, of designing/implementing tailored Neural Network architectures that relate to specific situational cases. This all ties in with the organizations overall goal of solving problems and an advancement in it's Automated Intelligence capabilities.



Experience with Amazon Web Services and tools listed below are required:

* SageMaker
* Python
* SQL
* Snowflake
* Big Data Technologies



This is a role that is best suited to someone who shares the organizations passion for leading the way, and embracing, emerging technology trends such as Machine Learning, GenAI, Natural Language Processing and more in the Cloud space.



This is a permanent position, based in the organizations Dallas offices, with a hybrid work policy that requires 3 days per week on site.

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.

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 Engineer

About the Role:

We're seeking a dynamic and resourceful Data Engineer to become part of our expanding team. In this role, you'll be responsible for building and maintaining robust, scalable data pipelines and infrastructure that support analytics and reporting across the organization. You'll partner with both technical and business teams to ensure data flows efficiently, systems are dependable, and our data strategy is future-ready. The right candidate thrives in a fast-paced environment, is a collaborative problem-solver, and brings a sharp, adaptable mindset to technical challenges.

What You'll Do:

*

Pipeline Engineering: Develop and maintain scalable ETL/ELT workflows to support data needs across analytics, operations, and business functions.
*

Infrastructure Design: Architect and fine-tune data platforms across cloud and hybrid environments for optimized access and performance.
*

Cross-Functional Collaboration: Partner with data scientists, analysts, engineers, and product teams to deliver reliable, actionable data solutions.
*

System Performance: Ensure systems are built with scale in mind, proactively managing performance and growth.
*

End-to-End Ownership: Manage the full data lifecycle-from ingestion through transformation and delivery-without handoffs or silos.
*

Data Quality & Compliance: Uphold data integrity, security, and traceability in line with internal and regulatory standards.
*

Innovative Problem Solving: Navigate evolving challenges with a solution-oriented mindset and flexible approach to tools and technologies.
*

Team Engagement: Contribute to a small, high-impact team where every voice counts and initiative drives progress.

What We're Looking For:

*

Education: A bachelor's degree in Computer Science, Engineering, or a related discipline (advanced degrees welcomed).
*

Professional Experience: Solid background in data engineering across data ingestion, transformation, and storage layers.
*

Technical Proficiency: Strong command of SQL and experience with at least one core technology (e.g., Python, Scala, Spark, Snowflake, AWS, etc.).
*

Adaptability: Comfortable working in changing technical landscapes and open to evolving tools and priorities.
*

Data Architecture Knowledge: Deep understanding of database systems, data modeling practices, and cloud-based infrastructure.
*

Workflow Tools: Experience with orchestration tools like Airflow, dbt, or comparable systems.
*

Nice to Have: Familiarity with business intelligence platforms such as Power BI, Tableau, or MicroStrategy.

Key Attributes:

*

Proactive and solution-focused, not afraid to take ownership.
*

Strong analytical and systems thinking skills with a practical mindset.
*

Clear communicator who can articulate technical ideas to various audiences.
*

Team player who can also thrive in independent settings.
*

Detail-oriented, reliable, and invested in the team's and company's success.
*

Agile and professional under pressure, with a flexible approach to shifting priorities.

Tenth Revolution Group are working with a leading real estate firm with over 60 years of history in the space.



The organization are looking to add to a data-driven solutions team. Candidates for this role must come with a masters level degree from a field such as Data Science or similarly analytical specialism. An ability to demonstrate a deep understanding and successful track record in the Machine Learning world is essential to be successful in your application for this position. Particularly as it relates to the design, build and deployment of ML models.



Deep Learning and NLP (Natural Language Processing) are essential requirements for this position, alongside prior experience working hands-on with LLMs (Large Language Models), building advanced systems and RAG pipelines. An ability, and flexibility, of designing/implementing tailored Neural Network architectures that relate to specific situational cases. This all ties in with the organizations overall goal of solving problems and an advancement in it's Automated Intelligence capabilities.



Experience with Amazon Web Services and tools listed below are required:

* SageMaker
* Python
* SQL
* Snowflake
* Big Data Technologies



This is a role that is best suited to someone who shares the organizations passion for leading the way, and embracing, emerging technology trends such as Machine Learning, GenAI, Natural Language Processing and more in the Cloud space.



This is a permanent position, based in the organizations Dallas offices, with a hybrid work policy that requires 3 days per week on site.

A leading US technology company is building a new event-driven platform powered by serverless AWS services and applied AI. The team operates in a fast-paced, start-up style environment and is expanding its engineering group to accelerate green-field product development.

As a Senior Back-End Engineer you will design, implement and operate Node.js workloads running in AWS Lambda behind API Gateway. You will modernize legacy endpoints, create new APIs, and embed AI capabilities such as LLM-driven features into production systems. Daily work includes writing infrastructure as code, optimizing cold-start performance, managing data in DynamoDB and PostgreSQL, and owning the full service lifecycle from code to monitoring. You will collaborate with a hands-on technical leadership team and influence architecture choices across multiple agile pods.

Technical requirements

* Deep competence with Node.js for back-end development.
* Production experience deploying and operating AWS Lambda functions and Amazon API Gateway integrations.
* Proficiency with serverless design patterns, event buses, and infrastructure-as-code tools such as AWS SAM, CDK, or Terraform.
* Knowledge of data stores suitable for serverless workloads, especially DynamoDB and PostgreSQL.
* Hands-on work integrating AI or machine-learning services into live applications and a strong interest in advancing those capabilities.
* Ability to optimize performance, security, observability, and cost in a serverless environment.

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.

Position Title: Data Engineer

Job Overview:

We're looking for a versatile and proactive Data Engineer to join our growing team. This role involves designing, building, and maintaining scalable data pipelines and infrastructure that power analytics and reporting across the organization. You'll work closely with technical and non-technical stakeholders to move data efficiently, ensure system reliability, and support our long-term data strategy. The ideal candidate is agile, collaborative, and able to think critically through technical challenges in a fast-evolving environment.

Key Responsibilities:

* Pipeline Development & Maintenance: Build and maintain reliable, scalable ETL/ELT pipelines to support analytics, operations, and reporting.

* Data Infrastructure: Design and optimize data architecture across cloud and on-prem systems, enabling efficient data access and storage.

* Collaboration: Work cross-functionally with analysts, data scientists, and product teams to deliver high-quality data solutions.

* Performance & Scalability: Monitor and improve system performance, supporting infrastructure that's built for growth.

* Versatility in Execution: Own end-to-end data workflows, from ingestion to transformation to delivery-no silos here.

* Data Governance & Quality: Ensure data accuracy, lineage, and security, maintaining compliance with internal and external standards.

* Problem Solving: Tackle evolving technical challenges using a tech-agnostic mindset-emphasizing clarity, quality, and collaboration.

* Team Contribution: While independent and self-directed, you'll be part of a small, dynamic team where your voice matters and your initiative shapes outcomes.

Qualifications:

* Education: Bachelor's degree in Computer Science, Engineering, or a related field (graduate degree a plus).

* Experience: Experience in data engineering, working across ingestion, transformation, and storage layers.

* Proven experience with SQL and at least one major language or platform (e.g., Python, Scala, Spark, Snowflake, AWS, etc.).

* Comfortable working in an evolving tech environment-open to learning and adapting as tools and priorities shift.

* Strong understanding of database systems, data modeling, and cloud architecture.

* Familiarity with orchestration tools (e.g., Airflow, dbt, or similar).

* Bonus: experience working with reporting or BI tools like Power BI, Tableau, or MicroStrategy.

Skills & Competencies:

* Takes initiative and brings solutions, not just problems.

* Strong analytical thinking and a pragmatic approach to building systems.

* Excellent communication skills-able to explain complex processes clearly to both technical and non-technical audiences.

* Collaborative and team-oriented, but capable of working independently when needed.

* Detail-oriented, dependable, and eager to help shape a growing data function.

* Demonstrates flexibility and professionalism, especially in high-paced, shifting environments

Tenth Revolution Group are working with a leading real estate firm with over 60 years of history in the space.



The organization are looking to add to a data-driven solutions team. Candidates for this role must come with a masters level degree from a field such as Data Science or similarly analytical specialism. An ability to demonstrate a deep understanding and successful track record in the Machine Learning world is essential to be successful in your application for this position. Particularly as it relates to the design, build and deployment of ML models.



Deep Learning and NLP (Natural Language Processing) are essential requirements for this position, alongside prior experience working hands-on with LLMs (Large Language Models), building advanced systems and RAG pipelines. An ability, and flexibility, of designing/implementing tailored Neural Network architectures that relate to specific situational cases. This all ties in with the organizations overall goal of solving problems and an advancement in it's Automated Intelligence capabilities.



Experience with Amazon Web Services and tools listed below are required:

* SageMaker
* Python
* SQL
* Snowflake
* Big Data Technologies



This is a role that is best suited to someone who shares the organizations passion for leading the way, and embracing, emerging technology trends such as Machine Learning, GenAI, Natural Language Processing and more in the Cloud space.



This is a permanent position, based in the organizations Houston office, with a hybrid work policy that requires 3 days per week on site.