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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.

Job Description:
We are seeking a highly skilled Principal Solutions Architect with deep expertise in AWS, cloud-native applications, and software engineering. This role is pivotal to our success and expansion within customer accounts, focusing on delivering high-quality, data-driven solutions that enable clients to become "AI Ready."

The ideal candidate will have experience as a Chief Architect or in similar roles within end-user organizations, demonstrating a successful history of designing and delivering cloud-native solutions. We value individuals who possess a blend of end-user insights and consulting expertise.



Key Responsibilities:

• Cloud-Native Application Expertise: Utilize your in-depth knowledge of AWS to design, implement, and enhance cloud-native applications that align with customer needs.
• Technical Leadership: Provide consulting, delivery oversight, and support in revenue generation activities to drive customer satisfaction and project success.
• Stakeholder Engagement: Collaborate closely with key stakeholders, delivering tailored solutions while fostering strong relationships built on trust and transparency.
• Delivery Oversight: Lead a team of engineers and architects or work independently, coordinating with delivery teams to ensure project milestones are achieved effectively.
• Strategic Consulting: Guide clients through the intricacies of data modeling, AI integration, and other advanced analytics frameworks, enhancing their capabilities to prepare for future AI implementations.

Qualifications:

• Experience:
• Extensive expertise in software development and architecture, particularly within cloud-native environments (AWS).
• Strong background in data solutions, data modeling, and AI applications, with hands-on experience in Snowflake being a significant advantage.
• Experienced in consulting and delivery oversight, with a focus on revenue generation and high-impact project delivery.

• Adaptable Leadership: Ability to manage projects effectively, with a focus on mentoring and guiding team members

• Technical Skills:

• Proficiency in AWS services such as EC2, Lambda, S3, RDS, and Redshift.
• Experience with containerization and orchestration platforms, such as Docker and Kubernetes.
• Familiarity with CI/CD pipelines and DevOps practices, using tools like Jenkins, GitLab CI, or AWS CodePipeline.
• Strong knowledge of databases, including SQL and NoSQL technologies (e.g., DynamoDB, MongoDB).
• Experience with data ingestion and processing frameworks (e.g., Apache Kafka, Apache Spark, or AWS Glue).
• Understanding of microservices architecture and RESTful API design principles.
• Familiarity with monitoring and logging tools (e.g., CloudWatch, ELK Stack) for operational excellence.

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.

Job Summary:
We are seeking a Senior Retail Applications Engineer who possesses strong expertise in Multivalue and Pick Basic engineering. The ideal candidate will focus on enhancing our retail applications, specifically in omnichannel POS, while leveraging microservices, APIs, and cloud technologies.



Key Responsibilities:

• Develop and maintain retail applications with a focus on multivalue and Pick Basic technologies.
• Collaborate with cross-functional teams to design and implement omnichannel POS solutions.
• Integrate APIs (REST & SOAP) to facilitate seamless interactions between systems.
• Ensure application performance, reliability, and scalability.
• Troubleshoot and resolve technical issues promptly.
• Document processes and support user training as necessary.

Key Requirements:

• Recent experience with Universe and proven multivalue development skills.
• Strong understanding of API integrations (REST & SOAP).
• Basic knowledge of Java and C# is preferred.
• Experience with retail and omnichannel POS systems.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration abilities.

Nice-to-Haves:

• Familiarity with cloud technologies and microservices architecture.
• Experience in agile development environments.

Director of Data Systems

Job Description:

We are seeking a Director of Data Systems to enhance operational efficiency and drive sales through data-driven insights. This pivotal leadership role focuses on ensuring high-quality data availability, leveraging business intelligence on customer behavior, and overseeing data governance and security initiatives. You will play a crucial role in strengthening the organization's data capabilities and enhancing decision-making processes through effective utilization of data.



Key Responsibilities:

• Data Strategy: Develop and implement a data strategy aligned with business objectives.
• Collaboration: Promote cross-departmental cooperation to enable data-driven decision-making.
• Data Governance: Establish frameworks for data quality, integrity, and compliance.
• System Oversight: Manage data system performance and security.
• Architecture: Design data architecture and optimize processes for data management and reporting.
• Team Leadership: Lead and mentor a small team to foster collaboration and high performance.

Qualifications:

• Extensive experience in IT, data management, or business intelligence.
• Previous leadership experience overseeing data infrastructure or enterprise systems.
• Strong background in data analysis and master data management.
• Proficiency in Excel, SQL, Python, and Power BI.
• Experience managing data platforms and cloud technologies, particularly Azure.
• Familiarity with Dynamics 365 or other CRM systems is a plus.
• Proven success in implementing data governance and analytics initiatives.
• Experience leading cross-functional teams and managing vendor relationships.

Tenth Revolution Group are working with a leading manufacturing organization who are seeking a technically strong professional to lead and manage the implementation, rollout, and subsequent utilization of Databricks across the organization. The successful candidate for this position will be responsible for designing and deploying scalable data pipelines and advanced analytics solutions using the Databricks platform.



Technical Responsibilities:

• Architect and implement data solutions using Databricks, including Delta Lake and Unity Catalog
• Build and optimize ETL/ELT pipelines using PySpark and SQL
• Configure and manage Databricks Workspaces, clusters, and job workflows
• Integrate Databricks with cloud platforms (AWS, Azure, or GCP) and data sources
• Implement CI/CD processes for Databricks using tools like Azure DevOps or GitHub Actions
• Set up data governance, access control, and monitoring within Databricks
• Collaborate with data engineers, platform teams, and stakeholders on technical delivery

Required Technical Expertise:

• Databricks (core platform, Delta Lake, Unity Catalog)
• PySpark and Spark SQL
• Cloud data services (AWS/GCP/Azure)
• CI/CD automation for data pipelines
• Git-based version control and release processes
• Data lake architecture and performance tuning

Candidates for this role must be able to demonstrate a deep technical fluency in Databricks and a strong track record of delivering complex data infrastructure projects