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    Home/Jobs/Senior AI/ML Engineer

    Senior AI/ML Engineer

    Velir

    United States
    5-7 years
    1 day ago
    ₹20–22 LPA
    Full-time
    Remote

    Skills Required

    Hugging Face
    LLM
    RAG
    Embeddings
    Python
    SQL
    PyTorch
    AWS
    Azure
    Snowflake
    Databricks
    vector search
    MLOps
    CI/CD
    ML fundamentals

    Description

    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.

    Company: Velir

    Role: Senior AI/ML Engineer

    Location: Remote

    Experience:

    • 5–7 years of experience in ML engineering, AI engineering, or related fields, with production deployment experience
    • Experience mentoring engineers and influencing technical direction

    Key Skills:

    • Python
    • SQL
    • PyTorch
    • HuggingFace
    • AWS
    • Azure
    • Snowflake
    • Databricks
    • LLM applications
    • RAG
    • embeddings
    • vector search
    • MLOps practices

    Qualification:

    • Strong programming skills in Python and SQL
    • Strong understanding of ML fundamentals: data design, training, evaluation, and experimentation
    • Familiarity with LLM alignment techniques (e.g., SFT, DPO, RL)
    • Strong software engineering fundamentals (testing, modularity, code review)
    • Strong communication skills with both technical and non-technical stakeholders

    Role Focus:

    • Lead the design and implementation of scalable ML systems, including supervised, unsupervised, and LLM-based solutions
    • Translate research and prototypes into production-ready systems
    • Partner with stakeholders to identify high-impact AI/ML opportunities and define optimal technical approaches
    • Provide technical mentorship and contribute to team upskilling
    • Build and operate LLM pipelines, including prompt design, fine-tuning, and evaluation
    • Develop RAG-based systems using embeddings, vector stores, and retrieval strategies
    • Design evaluation frameworks, feedback loops, and datasets to continuously improve model performance
    • Create reusable tooling to accelerate experimentation, deployment, and monitoring
    • Own end-to-end ML lifecycle: data pipelines, training, deployment, monitoring, and iteration
    • Establish best practices for reproducibility, observability, CI/CD, and model versioning
    • Partner with platform/DevOps teams to ensure reliability and scalability
    • Promote responsible AI practices, including governance, fairness, and transparency
    • Lead cross-functional initiatives across data engineering, analytics, and AI/ML
    • Translate complex ML concepts into clear recommendations for technical and non-technical audiences
    • Collaborate with clients and internal teams to plan and deliver AI/ML solutions
    • Contribute documentation, frameworks, and shared best practices
    • Scope and lead complex AI/ML initiatives aligned to business outcomes
    • Align stakeholders and drive execution across teams
    • Establish clear success metrics and ensure delivery of high-impact solutions

    Other:

    • Competitive pay
    • Excellent benefits
    • Compensation Range: $175,,000 annually
    • Core Company Values: Take the Long View, Be Courageous, Be Genuine, Work with Focus + Passion
    • Equal opportunity employer, committed to diversity, equity, and inclusion
    • Remote first company

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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