Senior AI/ML Engineer

Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy focused on leadership, process improvement, implementation, and advanced analytics.At Velir, we believe people are our greatest asset. Our culture is built on a foundation of trust, collaboration, and continued improvement. We strive for excellence in everything we do, embracing challenges as opportunities for growth. Our success is driven by a shared passion for making a positive impact on our customers, our communities and each other. We are a remote first company that offers competitive pay and excellent benefits.OverviewSenior AI/ML Engineers are senior individual contributors who design, build, and deploy production-grade AI/ML systems for both client-facing and internal products. They partner with leadership and cross-functional teams to translate business needs into scalable ML and LLM-based solutions.This role does not typically include direct reports but requires strong technical leadership, mentorship, and influence across teams.ResponsibilitiesAI/ML System Design & LeadershipLead the design and implementation of scalable ML systems, including supervised, unsupervised, and LLM-based solutionsTranslate research and prototypes into production-ready systemsPartner with stakeholders to identify high-impact AI/ML opportunities and define optimal technical approachesProvide technical mentorship and contribute to team upskillingLLM & Production AI SystemsBuild and operate LLM pipelines, including prompt design, fine-tuning, and evaluationDevelop RAG-based systems using embeddings, vector stores, and retrieval strategiesDesign evaluation frameworks, feedback loops, and datasets to continuously improve model performanceCreate reusable tooling to accelerate experimentation, deployment, and monitoringMLOps & DeploymentOwn end-to-end ML lifecycle: data pipelines, training, deployment, monitoring, and iterationEstablish best practices for reproducibility, observability, CI/CD, and model versioningPartner with platform/DevOps teams to ensure reliability and scalabilityPromote responsible AI practices, including governance, fairness, and transparencyCross-Functional CollaborationLead cross-functional initiatives across data engineering, analytics, and AI/MLTranslate complex ML concepts into clear recommendations for technical and non-technical audiencesCollaborate with clients and internal teams to plan and deliver AI/ML solutionsContribute documentation, frameworks, and shared best practicesProject ExecutionScope and lead complex AI/ML initiatives aligned to business outcomesAlign stakeholders and drive execution across teamsEstablish clear success metrics and ensure delivery of high-impact solutionsSkills & Qualifications5–7 years of experience in ML engineering, AI engineering, or related fields, with production deployment experienceStrong programming skills in Python and SQL; experience with PyTorch and HuggingFaceExperience building LLM applications, including RAG, embeddings, and vector searchExperience with cloud platforms (AWS or Azure; e.g., SageMaker, Bedrock, Azure ML)Strong understanding of ML fundamentals: data design, training, evaluation, and experimentationFamiliarity with LLM alignment techniques (e.g., SFT, DPO, RL)Experience with MLOps practices: CI/CD, monitoring, retraining, and experiment trackingProficiency working with complex, multi-source datasets and defining evaluation strategiesStrong software engineering fundamentals (testing, modularity, code review)Experience mentoring engineers and influencing technical directionStrong communication skills with both technical and non-technical stakeholdersTech StackLanguages: Python, SQLFrameworks: PyTorch, HuggingFacePlatforms: AWS, Azure, Snowflake, DatabricksPhysical RequirementsFrequent sitting at a desk performing work on a computerReasonable accommodations may be made to enable individuals with disabilities to perform the essential functionsCompensation Range: $150,000 - 180,000 annuallyPlease note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role.Core Company ValuesTake the Long View - Ensure the company is built to lastBe Courageous - Make the right decisions even when they aren't the easiest decisionsBe Genuine - Bring honesty and authenticity to all that you doWork with Focus + Passion - Display purpose and pride in your work and never stop learningAs an equal opportunity employer, we are firmly committing to diversity, equity, and inclusion in our hiring efforts. We recognize that we need team members from all backgrounds and experiences to successfully shape a positive employee experience as well as deliver our product and service solutions. To that end, we actively seek candidates who can bring diverse experiences and backgrounds to our team. We know that complex factors and systemic bias can get in the way of us meeting strong candidates, so please don't hesitate to apply even if you're not 100% sure.At this time, Velir does not sponsor candidates and unfortunately cannot accept those on OPT or CPT.Originally posted on Himalayas

Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy focused on leadership, process improvement, implementation, and advanced analytics.At Velir, we believe people are our greatest asset. Our culture is built on a foundation of trust, collaboration, and continued improvement. We strive for excellence in everything we do, embracing challenges as opportunities for growth. Our success is driven by a shared passion for making a positive impact on our customers, our communities and each other. We are a remote first company that offers competitive pay and excellent benefits.OverviewSenior AI/ML Engineers are senior individual contributors who design, build, and deploy production-grade AI/ML systems for both client-facing and internal products. They partner with leadership and cross-functional teams to translate business needs into scalable ML and LLM-based solutions.This role does not typically include direct reports but requires strong technical leadership, mentorship, and influence across teams.ResponsibilitiesAI/ML System Design & LeadershipLead the design and implementation of scalable ML systems, including supervised, unsupervised, and LLM-based solutionsTranslate research and prototypes into production-ready systemsPartner with stakeholders to identify high-impact AI/ML opportunities and define optimal technical approachesProvide technical mentorship and contribute to team upskillingLLM & Production AI SystemsBuild and operate LLM pipelines, including prompt design, fine-tuning, and evaluationDevelop RAG-based systems using embeddings, vector stores, and retrieval strategiesDesign evaluation frameworks, feedback loops, and datasets to continuously improve model performanceCreate reusable tooling to accelerate experimentation, deployment, and monitoringMLOps & DeploymentOwn end-to-end ML lifecycle: data pipelines, training, deployment, monitoring, and iterationEstablish best practices for reproducibility, observability, CI/CD, and model versioningPartner with platform/DevOps teams to ensure reliability and scalabilityPromote responsible AI practices, including governance, fairness, and transparencyCross-Functional CollaborationLead cross-functional initiatives across data engineering, analytics, and AI/MLTranslate complex ML concepts into clear recommendations for technical and non-technical audiencesCollaborate with clients and internal teams to plan and deliver AI/ML solutionsContribute documentation, frameworks, and shared best practicesProject ExecutionScope and lead complex AI/ML initiatives aligned to business outcomesAlign stakeholders and drive execution across teamsEstablish clear success metrics and ensure delivery of high-impact solutionsSkills & Qualifications5–7 years of experience in ML engineering, AI engineering, or related fields, with production deployment experienceStrong programming skills in Python and SQL; experience with PyTorch and HuggingFaceExperience building LLM applications, including RAG, embeddings, and vector searchExperience with cloud platforms (AWS or Azure; e.g., SageMaker, Bedrock, Azure ML)Strong understanding of ML fundamentals: data design, training, evaluation, and experimentationFamiliarity with LLM alignment techniques (e.g., SFT, DPO, RL)Experience with MLOps practices: CI/CD, monitoring, retraining, and experiment trackingProficiency working with complex, multi-source datasets and defining evaluation strategiesStrong software engineering fundamentals (testing, modularity, code review)Experience mentoring engineers and influencing technical directionStrong communication skills with both technical and non-technical stakeholdersTech StackLanguages: Python, SQLFrameworks: PyTorch, HuggingFacePlatforms: AWS, Azure, Snowflake, DatabricksPhysical RequirementsFrequent sitting at a desk performing work on a computerReasonable accommodations may be made to enable individuals with disabilities to perform the essential functionsCompensation Range: $150,000 - 180,000 annuallyPlease note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role.Core Company ValuesTake the Long View - Ensure the company is built to lastBe Courageous - Make the right decisions even when they aren't the easiest decisionsBe Genuine - Bring honesty and authenticity to all that you doWork with Focus + Passion - Display purpose and pride in your work and never stop learningAs an equal opportunity employer, we are firmly committing to diversity, equity, and inclusion in our hiring efforts. We recognize that we need team members from all backgrounds and experiences to successfully shape a positive employee experience as well as deliver our product and service solutions. To that end, we actively seek candidates who can bring diverse experiences and backgrounds to our team. We know that complex factors and systemic bias can get in the way of us meeting strong candidates, so please don't hesitate to apply even if you're not 100% sure.At this time, Velir does not sponsor candidates and unfortunately cannot accept those on OPT or CPT.Originally posted on Himalayas