Junior AI/ML (Python) Analytics Engineer (Client: Meta)

Junior AI/ML (Python) Analytics Engineer (Client: Meta)Location: San Francisco Bay AreaWork Arrangement: Onsite – Not a Remote PositionClient: MetaEmployment Type: Contract / ConsultingExperience: 3+ years preferred🚀 We’re Hiring: Junior AI/ML Analytics EngineerWe are looking for a sharp, hands-on Junior AI/ML Analytics Engineer with a strong analytical mindset and solid fundamentals in Python, SQL, machine learning, statistics, and modern AI concepts .Analytical MindsetYou should be comfortable looking at data, asking the right questions, identifying patterns, and explaining your findings clearly.1. Python & Data ManipulationPython is an important part of this role.You should be comfortable with:Working with PandasReading, cleaning, and manipulating datasetsWorking with tuples, lists, dictionaries, and setsUsing loops, conditions, and functionsPerforming basic calculations and data transformationsThe focus is on using Python effectively for data analysis and problem solving.2. SQL FundamentalsYou should have solid SQL skills and be comfortable solving moderately advanced analytical problems.Key areas include:Window / analytical functions such as RANK(), DENSE_RANK(), LAG(), and LEAD()CTEsJOINsAggregationsWriting SQL to identify trends, rankings3. Machine Learning & Statistical KnowledgeYou should have a basic understanding of common ML and statistical concepts, including:Regression and classificationSupervised vs. unsupervised learningTraining and testing dataOverfittingCorrelationMean, median, standard deviation, and distributionsBasic understanding of model evaluationAdvanced ML coding is not required, but you should understand the concepts and be able to explain where they can be applied.4. Modern AI ConceptsYou should have a basic understanding of modern Generative AI concepts such as:Large Language Models (LLMs)RAG — Retrieval-Augmented GenerationAI AgentsEmbeddingsVector databasesPromptingLLM hallucinationMost importantly, you should be able to think about:How can AI be used in the data analytics world?Communication SkillsCandidates should be able to explain their projects in a clear, specific, and concise way.Be prepared to explain:What problem were you solving?What data did you use?What did you personally build?Which technologies did you use?What was the result?We are looking for someone who is analytical, curious, technically strong, and able to communicate clearly.Interview ProcessThe technical interview will include a short hands-on exerciseWhen ApplyingPlease include:Phone numberTotal years of experienceexpected salaryCurrent location