Aimpoint Digital

Designing and managing cloud infrastructure, building data ingestion and storage protocols, and advising on best-in-class solutions. | 7+ years in cloud architecture, experience with AWS, data pipelines, cloud security, and programming in Python, Scala, or Java. | Are you an accomplished, technical Cloud Infrastructure leader looking to apply your expertise in support of both large and small organizations in solving complex and interesting architecture challenges using the best modern tools? Aimpoint Digital is a best-in-market and fully remote data engineering, analytics and artificial intelligence consultancy. We partner with the most innovative cloud and data platform providers to solve our clients' toughest business problems. Our approach to engineering blends modern tools and techniques with respect for the foundations of our craft. As a Principal Cloud Infrastructure Engineer You Will • Become a trusted advisor working together with our clients, from data owners and analytic users to C-level executives • Engage and lead multi-disciplinary teams to solve complex use-cases across a variety of industries • Manage high-priority accounts that can range from global leaders to emerging disruptors within our target verticals as they look to modernize their cloud Infrastructure environments, develop repeatable deployment frameworks, and operationalize their cloud environment for the application of artificial intelligence • Help establish and expand commercial offerings within our priority cloud data platform partnerships (namely AWS) • Assess existing cloud infrastructure and business processes and advise on best-in-class modern solutions • Design the cloud architecture, building data ingestion and storage protocols, and ensuring best-in-class integration with modern data platforms (e.g. Snowflake, Databricks) • Work with common AWS infrastructure stack like Kinesis, IoT Core, Glue, Kafka, SageMaker, Redshift and ensure the environment adheres to best-in-class security, governance and monitoring principles (e.g. AWS IAM, Artifact, CloudWatch, CloudTrail). • Be joining at the ground level for building a repeatable services and delivery frameworks for cloud infrastructure consulting services Who we are looking for We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. We are widely regarded as a top consulting destination for engineering talent, and a "tiger team" of resources that take on challenging, yet fulfilling data engineering cases that are critical to our client's success. You are a self-starter, with a proven track record of building either a practice, or commercial offerings from the ground up. Someone who loves modern technologies with an eye for streamlining data collection and distribution processes. You enjoy working with data to build analytical tools that business users can leverage daily to do their jobs better and enjoy the commercial aspect of our business. You understand what it takes to grow both our presence within the services market and within our cloud partnerships. As a Principal Cloud Infrastructure Engineer, you will be expected to be ‘the face' of our newly launched Infrastructure Engineering discipline. We have engineers with experience in building cloud architectures, primarily in AWS; what we need is someone who understand the market, has a proven track record of building (and maintaining) cloud solutions, that can build and grow this practice from the ground up. You will work client accounts, run engagements and take part in the overall development of this discipline and the people within it. Specific Technical Qualifications As Follows • Degree-educated in Computer Science, Engineering, Mathematics, or equivalent experience • Strong written and verbal communication skills • Experience managing stakeholders and collaborating with customers • Experience scoping cloud infrastructure cases, developing proposals, and presenting to key stakeholders • Experience building and maintaining cloud architecture at scale; primarily in AWS • Requirement: demonstrated administrative experience to guide best-in-class security architecture • Requirement: demonstrated experience designing resource monitoring processes (e.g. cost, performance) • Experience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse) • Experience working with modern Data + AI platforms (Databricks, Snowflake, SageMaker) • Experience with cloud security and governance principles • Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) • Working understanding of relational databases, query languages and data modeling practices • 7+ years designing, implementing and maintaining cloud architectures (primarily AWS, others a plus) • 5+ years building data pipelines in production and ability to work across structured, semi-structured and unstructured data • 3+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages • Expertise in software engineering concepts and best practices and/or DevOps is desirable We are actively seeking candidates for full-time, remote work within the US. Atlanta-based applicants will have the opportunity to work in our headquarters in Sandy Springs, GA.

Design and manage cloud infrastructure solutions, develop data pipelines, and lead cloud architecture initiatives. | Extensive experience in cloud architecture, data engineering, and software development, with strong AWS and data platform expertise. | Are you an accomplished, technical Cloud Infrastructure leader looking to apply your expertise in support of both large and small organizations in solving complex and interesting architecture challenges using the best modern tools? Aimpoint Digital is a best-in-market and fully remote data engineering, analytics and artificial intelligence consultancy. We partner with the most innovative cloud and data platform providers to solve our clients' toughest business problems. Our approach to engineering blends modern tools and techniques with respect for the foundations of our craft. As a Principal Cloud Infrastructure Engineer you will: Become a trusted advisor working together with our clients, from data owners and analytic users to C-level executives Engage and lead multi-disciplinary teams to solve complex use-cases across a variety of industries Manage high-priority accounts that can range from global leaders to emerging disruptors within our target verticals as they look to modernize their cloud Infrastructure environments, develop repeatable deployment frameworks, and operationalize their cloud environment for the application of artificial intelligence Help establish and expand commercial offerings within our priority cloud data platform partnerships (namely AWS) Assess existing cloud infrastructure and business processes and advise on best-in-class modern solutions Design the cloud architecture, building data ingestion and storage protocols, and ensuring best-in-class integration with modern data platforms (e.g. Snowflake, Databricks) Work with common AWS infrastructure stack like Kinesis, IoT Core, Glue, Kafka, SageMaker, Redshift and ensure the environment adheres to best-in-class security, governance and monitoring principles (e.g. AWS IAM, Artifact, CloudWatch, CloudTrail). Be joining at the ground level for building a repeatable services and delivery frameworks for cloud infrastructure consulting services Who we are looking for We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. We are widely regarded as a top consulting destination for engineering talent, and a "tiger team" of resources that take on challenging, yet fulfilling data engineering cases that are critical to our client’s success. You are a self-starter, with a proven track record of building either a practice, or commercial offerings from the ground up. Someone who loves modern technologies with an eye for streamlining data collection and distribution processes. You enjoy working with data to build analytical tools that business users can leverage daily to do their jobs better and enjoy the commercial aspect of our business. You understand what it takes to grow both our presence within the services market and within our cloud partnerships. As a Principal Cloud Infrastructure Engineer, you will be expected to be ‘the face’ of our newly launched Infrastructure Engineering discipline. We have engineers with experience in building cloud architectures, primarily in AWS; what we need is someone who understand the market, has a proven track record of building (and maintaining) cloud solutions, that can build and grow this practice from the ground up. You will work client accounts, run engagements and take part in the overall development of this discipline and the people within it. Specific technical qualifications as follows: Degree-educated in Computer Science, Engineering, Mathematics, or equivalent experience Strong written and verbal communication skills Experience managing stakeholders and collaborating with customers Experience scoping cloud infrastructure cases, developing proposals, and presenting to key stakeholders Experience building and maintaining cloud architecture at scale; primarily in AWS Requirement: demonstrated administrative experience to guide best-in-class security architecture Requirement: demonstrated experience designing resource monitoring processes (e.g. cost, performance) Experience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse) Experience working with modern Data + AI platforms (Databricks, Snowflake, SageMaker) Experience with cloud security and governance principles Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) Working understanding of relational databases, query languages and data modeling practices 7+ years designing, implementing and maintaining cloud architectures (primarily AWS, others a plus) 5+ years building data pipelines in production and ability to work across structured, semi-structured and unstructured data 3+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages Expertise in software engineering concepts and best practices and/or DevOps is desirable We are actively seeking candidates for full-time, remote work within the US. Atlanta-based applicants will have the opportunity to work in our headquarters in Sandy Springs, GA.

Lead data science projects, develop ML solutions, and manage client relationships. | Extensive experience in ML model development, deployment, and leadership in data science. | Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning and statistical modelling. What you will do As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data. You will work with all levels of the client organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. As a Principal Decision Scientist, you will be expected to work independently on client engagements, architect solutions and lead others on engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company. As a Principal Decision Scientist, Machine Learning Engineer you will: Define high-level business objectives directly with clients, then develop and execute the project plan to meet those objectives Proactively research and apply knowledge within the data science space to deliver best-in-class solutions Lead both small and large teams over the entire data science lifecycle – from problem definition to model automation and deployment Provide technical leadership to guide development work across teams while also owning and delivering specific technical components yourself Manage all aspects of client relationships and create value-driving initiatives for the company Design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insights Write code in SQL, Python, and Spark following software engineering best practices Who we are looking for We are looking for collaborative individuals who want to drive value, work in a fast-paced environment, and solve real business problems. You are a coder who writes efficient and optimized code. You are a problem-solver who can deliver simple, elegant solutions as well as cutting-edge solutions that, regardless of complexity, your clients can understand, implement, and maintain. You genuinely think about the end-to-end machine learning pipeline as you generate robust solutions. You are both a teacher and a student as we enable our clients, upskill our teammates, and learn from one another. You want to drive impact for your clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment. Degree in Computer Science, Engineering, Mathematics, or equivalent experience Experience designing deploying, and scaling Generative AI and machine learning systems in production, in production, including LLM/Model serving, orchestration, and GPU resource management on Kubernetes for high-volume, business-critical applications Experience with managing stakeholders and collaborating with customers Strong written and verbal communication skills required Ability to manage an individual workstream independently 5+ years of experience developing and deploying ML models in any platform (Azure, AWS, GCP, Databricks etc.) Ability to apply data science methodologies and principles to real life projects Expertise in software engineering concepts and best practices Self-starter with excellent communication skills, able to work independently, and lead projects, initiatives, and/or people Willingness to travel Additional MLE Requirements Familiarity with traditional machine learning tools such as Python, SKLearn, XGBoost, SparkML, etc Experience with deep learning frameworks like TensorFlow or PyTorch Knowledge of ML model deployment options (e.g., Azure Functions, FastAPI, Kubernetes) for real-time and batch processing Experience with CI/CD pipelines (e.g., DevOps pipelines, GitHub Actions) Knowledge of infrastructure as code (e.g., Terraform, ARM Template, Databricks Asset Bundles) Understanding of advanced machine learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling Experience with generative AI and LLMs, such as LLamaIndex and LangChain Understanding of MLOps or LLMOps Want to stand out? Consulting Experience Deep expertise in Generative AI and Large Language Models, with a strong focus on optimizing GenAI applications for performance, cost, and reliability Familiarity with Agile methodologies, preferably Scrum We are actively seeking candidates for full-time, remote work within the US, UK or COL. Atlanta, London and Medellin-based applicants will have the opportunity to work in our regional offices.