"Alerted.org

Description

Client = Consumer Insights Marketing & Rewards Platform w/ Fortune 1000 clientele

Job Title = Sr. ML Engineer

Location = Hybrid 3x onsite per week in El Segundo or Thousand Oaks

Top Requirements (Must Haves)

-- Bachelor's or higher in a related field + 3+ years of experience as a ML Engineer

-- Expertise in Python for writing production-quality code and SQL for big data exploratory analysis and feature engineering

-- Proven expertise in machine learning techniques and algorithms (e.g., DNN, Boosting Trees, Random Forests) with the ability to evaluate and adapt models to specific situations

-- Hands-on expertise with cloud data environments + containerization like Docker and Kubernetes + large scale distributed computing

-- Comfortable working with overseas teams (EU and India) and working outside of typical work hours from time-to-time

Requirements

Primary Focus

-- Advanced AI/ML Solution Development

-- Leading Model Research and Development

-- Strategic Cross-functional Collaboration

-- Industry Trend Analysis and Application

-- AI Technique Evaluation and Innovation

-- Model Training, Validation, and Optimization

-- Seamless Integration and Performance Monitoring

-- Mentorship and Advanced Team Support

Primary Responsibilities

-- Develop and implement advanced AI/ML solutions aligned with strategic company goals.

-- Lead the research, development, and deployment of sophisticated AI/ML models using Python, LangChain, LLMs, and HuggingFace transformers, as well as libraries for Deep Learning (e.g., Pytorch), ML libraries (e.g., XGBoost, Scikit-learn), and NLP (e.g., spaCy, NLTK).

-- Fine-tune existing models and create new models from scratch to enhance business processes and outcomes.

-- Collaborate cross-functionally with senior teams to identify opportunities for AI/ML integration and optimization.

-- Stay abreast of and apply industry trends and advancements to ensure our AI initiatives remain innovative and impactful.

-- Research, evaluate, and implement advanced AI techniques and tools to inform decision-making.

-- Collaborate with senior data and software engineers and other stakeholders to ensure seamless integration of AI/ML solutions.

-- Monitor and optimize model performance on a regular basis.

-- Provide advanced guidance and mentorship to junior team members and peers.

-- Focus on business practicality and the 80/20 rule; very high bar for output quality but recognize the business benefit of "having something now" vs "perfection sometime in the future".

The Nice To Haves

-- Master's degree or PhD in AI, Machine Learning, or related fields.

-- Experience with Ray for Training, Tuning and Serving ML models at scale.

-- Experience with Recommender Systems in production.

-- Knowledge of the Scala or Rust programming languages is a plus.

-- Certification in AI/ML-related disciplines preferred.

-- Prior experience in leading ML/AI projects or teams.

-- Extensive experience with AI frameworks such as LangChain, LLMs, and HuggingFace, RAG.

-- Experience on MLOps, CI/CD/CT

-- Experience on Bayesian Statistics and Causal Inference.

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