Machine Learning Specialist

4 weeks ago

New Delhi, 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 4M+ 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 experience - Proficiency in at least some of the ML areas and frameworks, including: - Supervised learning (classification, regression, …) - Unsupervised learning (clustering, anomaly detection, …) - Time-series analysis - Natural Language Processing (NLP) - Computer Vision (CV) - Statistical modeling - Ability to understand and apply different models to real-world use cases - Hands-on experience with DS and ML solutions in production environments - Strong understanding of data cleaning and wrangling, feature engineering, model optimization, and evaluation metrics - Proficiency in Python and its common data science libraries (e.g., Pandas, NumPy, Scikit-learn)

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