... working with Generative AI (GenAI) models, such as Large Language Models (LLMs), and implementing these solutions ... improve performance based on application needs. Required Qualifications : Min Bachelors degree ...
... best practices for ML models TECH STACK: Python, TensorFlow, PyTorch, MLflow, Kubeflow, Airflow, CI CD, GIT Nice to have: Spark, Hadoop, GCP, Pub Sub, Big Query, Kafka, Juniper, Apache NiFi, Hive, Impala, Cloudera, SKILLS & EXPERIENCES YOU NEED TO GET THE ...
... : Translate business requirements into data needs, defining data models and setting standards for data ...
... know how to translate business needs into technical specifications, being a ... vision and defining requirements and needs Making sure that it’s clear: ... , together with any software you need. Additional accessories- Craft your ideal ...
... us work in a hybrid model, some remotely, or on-site ... adjusting the offer to market needs through identifying trends and anomalies ... of working in the hybrid model. Your responsibilities: Analyzing and monitoring ...
... the entire lifecycle of ML models, from experimentation and training to deployment and monitoring, considering industry-specific needs. Establish and maintain coding and ... data consulting teams. What we need from you: At least three ...
... results, Perform cost-benefits and needs analysis of potential customers to ... any hour. Paid days off- Need time off? Recharge with paid ... , together with any software you need. Additional accessories- Craft your ideal ...
... around monitoring, logging, automated testing, model retraining, model deployment and metadata tracking, identifying ... , automated processes for data analyses, model development, validation and implementation, writing ...
... be a plus Proficiency in model-based development tools such as ... development methodologies and the V-model software development process Ability to ... ) testing Responsibilities Develop and implement model-based application software for automotive ...
... analytical techniques and machine learning models to extract actionable insights from ... business teams to understand their needs, translate them into data science ... methods at scale or building models used in production by large ...