| Urgent requirement for AI ML Engineer at Phoenix, AZ (Day1 Onsite) at Phoenix, Arizona, USA |
| Email: [email protected] |
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From: Praveen Kumar, Magicforce [email protected] Reply to: [email protected] Job Title: AI ML Engineer Location: Phoenix, AZ (Day1 Onsite) Duration: 1+ Year Job Description: Responsibilities Owns all technical aspects of software development for assigned applications. Participates in the design and development of systems and application programs. Functions as senior member of an agile team and helps drive consistent development practices tools, common components, documentation. Identifies opportunities to adopt innovative technologies. Works closely with product owners on blueprints and planning of feature sets that impact multiple platforms and products. Works with product owners to prioritize features for ongoing sprints and managing a list of technical requirements based on industry trends, new technologies, known defects, issues. Performs various duties related to Quality Assurance, unit testing, integration testing, regression testing. Develops test models (e.g. testing conditions, test data requirements, expected results, test scripts, etc). Requirements : Bachelors or Masters degree in Computer Science, Computer Engineering, or a related technical discipline. 5+ years of software development experience. Familiar with Agile or other rapid application development methods. Ability to effectively interpret technical and business objectives and challenges, and articulate solutions. Ability to think abstractly and deal with ambiguous/under-defined problems. Solid experience in test-driven development, unit testing, functional testing, system integration testing, regression testing, GUI testing, web service testing, browser compatibility testing. Must have proficiencies: Java, Spring Boot, Python, FastAPI ReactJS, Svelte PostgreSQL, NoSQL Db PyTorch, TensorFlow/Keras, LangChain, NLP (NLTK, spaCy), pandas, Matplotlib Vector databases (ChromaDB, FAISS, pgvector) Cloud Deployment (AWS/GCP/Azure) Docker Git AI/ML Skills : Retrieval Augmented Generation (RAG) Prompt engineering and optimization. Data Modeling - Synthetic Data Generation Exploratory Data Analysis Data cleaning and preprocessing Tokenization and embedding models. Model evaluation and benchmarking. Unit testing for ML pipelines Data validation and drift detection LLM output evaluation and hallucination testing Keywords: artificial intelligence machine learning database Arizona Urgent requirement for AI ML Engineer at Phoenix, AZ (Day1 Onsite) [email protected] |
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| 11:45 PM 10-Jan-25 |