SENIOR ML & AI ENGINEER

OVERVIEW OF THE ROLE

DashLX is seeking a critical thinker and self-starter to assist with machine learning model development, AI-driven data processing, and analytics integration. This is a unique opportunity to work with a small startup, utilizing cutting-edge cloud service technologies to enhance AI and ML capabilities.

For this position, we are seeking a senior-level machine learning and AI engineer who is experienced in designing and deploying AI/ML models, optimizing data pipelines, and contributing to generative AI initiatives. The ideal candidate will play a key role in shaping our AI/ML strategy and implementation.

DashLX is not currently sponsoring applicants for work visas.

CORE RESPONSIBILITIES

• Gain a deep understanding of our data ingestion pipeline and analytics service, which utilizes Athena, S3, Apache Iceberg, Python, Lambda, SNS, SQS, and EventBridge.

• Ensure that machine learning models are seamlessly integrated into the pipeline for continuous data processing.

• Design, deploy, and maintain machine learning algorithms that enhance our analytics capabilities.

• Work with cross-functional teams to identify and implement AI/ML opportunities that drive client success.

• Contribute to the design and development of generative AI applications, currently leveraging AWS Bedrock.

• Stay informed of emerging trends in AI and ML to propose innovative approaches that benefit our clients.

• Collaborate with data engineers, data scientists, and other stakeholders to optimize data processing workflows.

• Develop best practices for model deployment, monitoring, and performance optimization.

• Act as a subject matter expert (SME) for ML & AI practices within the organization and for clients.

• Apply foundational data science principles to support machine learning initiatives and ensure robust, data-driven solutions.

• Ensure your home work environment is adequate to carry out your responsibilities. (e.g., work computer, internet connection, phone, etc.)

WORK HOURS AND BENEFITS

We are a mostly distributed workforce; therefore, you will likely be required to work from home. Hours are flexible, though you will need to be available at some point between 8-5 PST for meetings.

BENEFITS

• Competitive salary and comprehensive benefits package (healthcare, PTO, etc.).

• Flexible working hours and a remote-first work environment.

• Stock options based on performance and company growth.

• An innovative, collaborative, and growth-oriented work culture.

• Be part of a dynamic team building innovative SaaS solutions from the ground up.

• Collaborate closely with experienced leaders who value creativity, autonomy, and technical excellence.

• Shape the future of our cloud infrastructure while growing your career in ML & AI.

EXPERIENCE REQUIREMENTS

• Formal Computer Science degree in programming, algorithms, data structures, systems design, and computational theory.

• 5+ years of experience in machine learning, AI engineering, or a related field.

• Proven track record in designing and deploying machine learning models in production environments.

• Strong understanding of AWS-based analytics technologies (Athena, S3, Apache Iceberg, Python, Lambda, SNS, SQS, EventBridge) and data ingestion pipelines.

• Experience with generative AI technologies, specifically AWS Bedrock, is a significant plus.

• Basic proficiency in data science methodologies to collaborate effectively with data science teams.

• Proficiency in programming languages such as Python and Java.

• Excellent problem-solving skills and the ability to clearly communicate complex technical concepts to both technical and non-technical audiences.

PREFERRED QUALIFICATIONS

• Familiarity with streaming data architectures and tools like Apache Flink.

• Experience in cloud-based SaaS environments.

• A passion for leveraging AI/ML to drive business value and improve client outcomes.

• Experience working in agile, fast-paced development environments.