Machine Learning Specialist

4 weeks ago

Jaipur, India Whatjobs IN C2 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 Developer Location: Hyderabad Experience: 5+ years Employment Type: Contract to hire Notice Period: Immediate joiners Requriment: 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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