Machine learning engineer

3 days ago


Hyderabad, India Webappclouds LLC Full time

Company DescriptionWebappclouds specializes in creating cutting-edge mobile and web applications that bring ideas to life. Our talented team of software developers and designers ensures seamless, user-friendly apps that connect businesses with millions of users on i OS and Android platforms. In addition to app development, we provide services like website design, e-commerce solutions, and digital marketing. Our team is committed to innovation, creativity, and delivering the highest level of customer satisfaction. We work tirelessly to help businesses thrive through tailored digital solutions.Role DescriptionWe are seeking a Junior Machine Learning Engineer for a full-time, on-site position located in Hyderabad. The engineer will be responsible for designing, developing, and deploying machine learning models. Daily tasks include building algorithms, analyzing large datasets, implementing pattern recognition techniques, and optimizing systems for performance. Collaboration with cross-functional teams to solve complex challenges is an integral part of this role.Qualifications- Strong understanding of Machine Learning concepts, including Neural Networks and Pattern Recognition- In-depth knowledge of Computer Science and proficiency in algorithms- Background in Statistics and data analysis techniques- Proficiency in programming languages commonly used for machine learning (e.g., Python, R, or Java)- Experience with machine learning frameworks and libraries (e.g., Tensor Flow, Py Torch, or Scikit-learn)- Strong problem-solving and critical-thinking skills- Bachelor's or Master's degree in Computer Science, Data Science, or a related field- Familiarity with big data tools and platforms (e.g., Hadoop, Spark) is a plusLLMs:- LLM Application: Practical experience applying Large Language Models (LLMs) to solve business problems.- Architectural Pattern: Deep knowledge and hands-on implementation of RAG (Retrieval-Augmented Generation) systems.- Model Adaptation: Proficiency in Fine-tuning techniques like Lo RA and



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