Wanted: AI / ML Engineer

We are looking for a remote,

full-time AI / ML Engineer

with 4+ years of machine learning experience, preferably within MarTech SaaS companies, to join the engineering team of our U.S. client. You will join our client's innovative, growing team on a mission to unleash the power of culture for growing organizational brands at a time of global, seismic cultural transformation. You will work with the AI / ML Manager on the Data Science team, developing agentic AI workflows with customized hybrid retrieval and contextual pipelines. The right candidate will have the opportunity to develop a wide range of machine learning and AI techniques to create features for the client's UI / UX and internal tools. You will work collaboratively with, and be a key member of, the research and development team, collaborating closely with software engineers, research teams, and product design, creating novel methods for automating the generation of these data-driven insights from PoC all the way to deployment at scale within the client platform. If you are a self-starter who enjoys a fast-paced, dynamic, and autonomous environment as well as thrive in challenging situations, then you are the right person for the job. The ideal candidate must collaborate well within a team, leverage strong Generative AI and Machine Learning expertise, and adeptly apply and adapt existing code, innovating new approaches needed to deliver on insights. Our client unleashes the power of culture, driving brand growth with consumer insights, analytics, tools, and best practices for over 250 major U.S. brands. Its solutions are fueled by its cultural intelligence platform, which allows its customers to more effectively and efficiently understand, reach, and engage consumers, activating them across race, ethnicity, generation, gender, and sexual identity. Our client comprises creative, analytical, diverse, hardworking, and fun individuals with an insatiable curiosity for the new collage of behaviors and patterns driving consumers today. The possibilities of the moment and opportunity to help organizations unlock their cultural capacity inspire them to seek out predictive insights and brand impacts that are unique to their model.

Responsibilities Develop a wide range of data science techniques, including supervised and unsupervised learning, dimensionality reduction, network analyses, natural language processing, statistical analyses, classification, and similarity modelling. Partner with product and engineering teams to execute in an Agile development environment. Research market trends and innovations in data technologies and analytical approaches to drive innovation while facilitating data platform scalability Develop features with LLMs, VLMs, and ViTs that enable analysis, summarization, and production-ready output of content using the client's internal research data. Develop and maintain strong retrieval augmented generation pipelines with customized time sensitivity, hybrid search methods, and weighting. Develop REST API Endpoints to allow the application's backend to service from the client's AI workflows, maintaining and monitoring token expenditure, latency, and related metrics. Experience with prompt engineering for complex and multi-agent pipelines efficiently, ensuring regression compatibility and with guardrails for hallucination. Develop and design integrations and MCPs with both unstructured and structured data into efficient tools used by AI Agents.

Required Experience Excellent English communication and teamwork skills 4+ years of professional experience as a data scientist, preferably in the marketing area 4+ years of relevant work experience in a machine learning or data science role; experience specifically in consumer advertising and marketing or social media is a plus Strong Python skills and/or other platforms and languages (e.g., Hadoop, Spark, SQL, R) and Python libraries Business experience solving analytical issues through quantitative approaches and machine learning methods, as well as experience using advanced statistical methods, data mining techniques, and information retrieval Experience in applying data science methodologies to solve problems, particularly in the marketing domain Experience working with AI and machine learning for product development with LiteLLM, CrewAI, Langchain, Langraph, and similar wrappers. Experience working with AI observability, tracing, spans, and tools tracking (DataDog Observability, Langfuse, Langchain, Arize, or others) Knowledge of probability and statistics (e.g., distributions, hypothesis testing, time series concepts, Bayesian framework) Truly a team player: likes to work with others to get a clear understanding of the context around the data; can happily interact with extraverted thinkers; and can adapt to new information High comfort in analyzing and manipulating large, complex, high-dimensional data from numerous sources Experience working in a cloud environment (AWS preferred) Curiosity and passion for learning Proven delivery experience in a vibrant, dynamic startup environment Trustworthy, team-oriented, and transparent

Desired Experience Advanced university degree (master's degree or equivalent degree) in computer science, engineering, mathematics, statistics, physics, econometrics, or equivalent quantitative fields

Additional Information Knowing your ideas are heard and matter, think big! You get to own your job and be recognized for your contributions Work with smart and creative people Making mistakes is human. Let's learn from them. Be transparent! We recognize you as an individual with no presumptions or judgment. Be the extraordinary you! 15 days Paid Time Off (PTO), 1 floating day, 3 sick days, and designated national holidays Start: ASAP

About Velozient We are a privately held, nearshore software development company providing outsourced development resources to North American companies. Our mission is to offer development talent who enjoy taking on challenging work, want to grow their skills and experiences building software, and excel in a fast-paced, dynamic team environment. We are focused on providing world-class remote resources to work as valued client team members. If this type of opportunity excites you, then consider joining our team!