AI Ml Engineer

0 years

0 Lacs

Posted:5 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Company Description

NeuSix is a pioneering organization that leverages AI to create purposeful and impactful transformation for modern enterprises. By integrating AI, automation, and innovative business strategies, NeuSix helps organizations achieve meaningful outcomes, modernize systems, and design human-centered product experiences. With a focus on long-term value, strategic execution, and measurable results, NeuSix partners with visionary leaders and forward-thinking teams to shape the future. Based on a mission to empower relevance, not just competence, NeuSix aims to redefine how businesses operate and thrive in a rapidly changing world.

Role Description

We are seeking an AI/ML Engineer for a full-time, on-site role based in Hyderabad. The role involves developing and deploying machine learning models, designing and implementing AI algorithms, and optimizing existing systems for performance and scalability. Daily tasks include collaborating with cross-functional teams, analyzing large datasets, building predictive models, and ensuring the integration of AI solutions into business workflows. The ideal candidate will also stay updated on the latest advancements in AI/ML to drive innovation within our projects.

Qualifications

  • Strong foundation in Machine Learning, Artificial Intelligence, and Data Science
  • Proficiency in programming languages such as Python, R, or Java
  • Experience with ML frameworks and libraries like TensorFlow, PyTorch, or scikit-learn
  • Knowledge of data preprocessing, feature engineering, and data visualization techniques
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI models
  • Strong problem-solving skills and an analytical mindset to address complex challenges
  • Ability to work in a collaborative, on-site environment
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field
  • Experience in natural language processing (NLP) and deep learning is a plus

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