UNKNOWN

ADAPTED_NOW

YEAR

Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. In this role, you will help design, build, and deploy machine learning models that drive consumer insights, personalization, and data-driven decision-making across digital platforms.

Remote, Marketing Analytics, Pricing, Promotions This Jobot Job is hosted by: Dylan Currier Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $120,000 - $140,000 per year A bit about us: We are a globally recognized leader in the entertainment industry, delivering world-class content and experiences to millions of consumers across the globe. Our mission is to create meaningful connections between audiences and the stories, music, and moments they love. At the heart of our success is data. We leverage advanced analytics and machine learning to better understand our audiences, personalize experiences, and shape the future of entertainment. Our teams are made up of curious, driven individuals who are passionate about innovation and pushing the boundaries of what’s possible. Why join us? Opportunity to work with a leading brand in the entertainment space Fully remote work environment with flexible scheduling Competitive compensation and benefits package Collaborative and innovative team culture Job Details Candidates must be authorized to work in the United States without the need for sponsorship now or in the future We are seeking a mid-level Machine Learning Engineer to join a well-established and widely recognized company in the entertainment industry. In this role, you will help design, build, and deploy machine learning models that drive consumer insights, personalization, and data-driven decision-making across digital platforms. You’ll collaborate with cross-functional teams including data science, product, and engineering to deliver impactful solutions at scale. Key Responsibilities Develop, deploy, and maintain machine learning models focused on consumer analytics (e.g., user behavior, segmentation, recommendation systems) Work with large-scale datasets to extract insights and improve customer engagement and retention Collaborate with data engineers to build and optimize data pipelines for ML workflows Partner with product and business teams to translate requirements into scalable ML solutions Evaluate model performance and continuously iterate to improve accuracy and efficiency Contribute to best practices in ML engineering, including testing, monitoring, and documentation Required Qualifications 3–5 years of professional experience in machine learning, data science, or a related field Hands-on experience building and deploying machine learning models in production environments Strong background in consumer analytics, such as user behavior modeling, personalization, or recommendation systems Proficiency in Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch) Experience working with large datasets and distributed systems (e.g., Spark, Hadoop, or similar) Solid understanding of data structures, algorithms, and software engineering principles Ability to communicate technical concepts clearly to both technical and non-technical stakeholders Preferred Qualifications Experience in the entertainment, media, or streaming industry Familiarity with cloud platforms (e.g., AWS, GCP, Azure) Knowledge of A/B testing frameworks and experimentation platforms Experience with MLOps tools and practices (CI/CD for ML, model monitoring, etc.) Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

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Jobot

Machine Learning Engineer - Marketing Analytics

Algorithms

Amazon Web Services (AWS)

Apache Hadoop

Apache Spark

Cloud Computing

Communication Skills

Compensation and Benefits

Continuous Improvement

Cross-Functional

Customer Relations

Customer Retention/Renewal

Customer/Client Research

Customer/Consumer Behavior

Data Management

Data Science

Data Sets

Data Structures

Distributed Computing

Entertainment and Media

Equipment Maintenance/Repair

GCP (Good Clinical Practices)

Legal

Machine Learning

Marketing

Microsoft Windows Azure

Multiplatform/Cross-Platform

Music

Performance Modeling

Product Engineering

Requirements Management

Software Engineering

FEED

OTHER

We connect our community with real earning opportunities — remote jobs, surveys, clinical trials, gig platforms, and financial tools — all in one place, free to access, no gatekeeping. Review and label datasets including text, images, audio clips, and video frames according to provided guidelines.

ABOUT NOGIGIDDYNoGigiddy is a digital platform built for gig workers, side hustlers, and anyone building an income outside the traditional 9-to-5. We connect our community with real earning opportunities — remote jobs, surveys, clinical trials, gig platforms, and financial tools — all in one place, free to access, no gatekeeping. We built what we wish had existed, and we hire people who actually get it.THE ROLEThe future of AI is being built right now — and the humans labeling the data are the ones making it possible. NoGigiddy is hiring Data Annotators to help train the next generation of machine learning models. You'll review, tag, and classify text, images, audio, and video so that AI systems can learn to understand the world. No tech background required — just sharp attention to detail and the ability to follow clear guidelines consistently.RESPONSIBILITIESReview and label datasets including text, images, audio clips, and video frames according to provided guidelinesCategorize content accurately across a range of annotation tasks (sentiment, object detection, intent classification, etc.)Flag ambiguous or problematic content for senior reviewMeet quality benchmarks — accuracy matters more than speedComplete tasks within assigned deadlines while maintaining consistencyProvide feedback on annotation guidelines when instructions are unclear or contradictoryParticipate in calibration sessions to align on quality standards with the teamREQUIREMENTSNo degree requiredNo prior annotation experience needed — full task training providedExceptional attention to detail and pattern recognitionAbility to follow complex written guidelines precisely and consistentlyComfortable working independently on repetitive tasks without losing accuracyReliable internet connection and a distraction-free workspaceBasic computer literacy — comfortable using web-based tools and spreadsheetsBENEFITSCompetitive hourly pay ($15–$20/hr)Fully remote — work from anywhere in the USFlexible hours — set your own schedule within project windowsNo experience barrier — we train you on every task typeConsistent work pipeline across multiple AI training projectsAccess to the full NoGigiddy earning opportunity networkEqual Opportunity Employer. NoGigiddy celebrates diversity and is committed to creating an inclusive

NoGigiddy

Data Annotator (AI Training)

Artificial Intelligence (AI)

Audiovisual

Benchmarking

Clinical Trial

Computer Skills

Detail Oriented

Diversity

Pattern Matching

Spreadsheets

Time Management

Training Data Sets

Training/Teaching

Work From Home

Workable

This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems. FTI delivers mission-focused solutions to the Department of Defense/Department of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise.

Overview:
Frontier Technology Inc. (FTI) is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems. FTI delivers mission-focused solutions to the Department of Defense/Department of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.

Responsibilities:
<ul><li>Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.</li><li>Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.</li><li>Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).</li><li>Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).</li><li>Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.</li><li>Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).</li><li>Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.</li><li>Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.</li><li>Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.</li><li>Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.</li></ul>

Education/Qualifications:
Minimum Requirements:<ul><li>Must be a U.S. citizen and be willing to obtain and maintain a secruity clearance, as needed.</li><li>6-10+ years of professional experience developing and deploying AI/ML solutions in production environments.</li><li>Minimum of 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments.</li><li>Strong Python development skills with hands-on experience building AI/ML solutions.</li><li>Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.</li><li>Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent.</li><li>Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph).</li><li>Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.</li><li>Professional experience integrating AI capabilities into production systems or mission applications.</li></ul> Preferred Qualifications:<ul><li>Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.</li><li>Understanding of prompt engineering, retrieval quality, and grounding methods.</li><li>Exposure to GPU-based or edge inference environments.</li><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field.</li><li>Active Secret clearance preferred; ability to obtain one is required.</li></ul>For this role, the compensation range is $140k-$220k.*Note: Starting pay will be based on a number of factors and commensurate with the candidate’s residence location, qualifications & experience.#LI-SB1#LI-Remote

Machine Learning Jobs in Algiers, LA

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Machine Learning Jobs in Algiers, LA

Machine Learning Engineer - Marketing Analytics Jobot

Data Annotator (AI Training) NoGigiddy

AI/ML Engineer Frontier Technology Inc.

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