Machine learning specialist

13 hours ago

Tiruchirappalli, India People Prime Worldwide Full time

About Client :Our client is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. They helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Powering this growth is our clients talent cloud—an AI-vetted pool of 4 M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications.Job Title: Mobile DeveloperLocation: HyderabadExperience: 5+ yearsEmployment Type: Contract to hireNotice Period: Immediate joinersRequriment:Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field.3+ years of hands-on ML development experienceProficiency in at least some of the ML areas and frameworks, including:Supervised learning (classification, regression, …)Unsupervised learning (clustering, anomaly detection, …)Time-series analysisNatural Language Processing (NLP)Computer Vision (CV)Statistical modelingAbility to understand and apply different models to real-world use casesHands-on experience with DS and ML solutions in production environmentsStrong understanding of data cleaning and wrangling, feature engineering, model optimization, and evaluation metricsProficiency in Python and its common data science libraries (e.g., Pandas, Num Py, Scikit-learn)

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