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AI & ML Engineer

Vyusoft, Inc.

Role overview

Qualifications

  • Strong experience in AI/ML model development and deployment using frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Proficiency in programming languages such as Python, R, or Java.
  • Hands-on experience with data preprocessing, feature engineering, and model evaluation techniques.
  • Knowledge of deep learning architectures including CNNs, RNNs, Transformers, and large language models.

Responsibilities

  • Design, develop, and implement AI and ML models for applications such as predictive analytics, recommendation systems, NLP, and computer vision.
  • Collect, preprocess, and analyze large datasets to ensure quality inputs for model training and evaluation.
  • Train, validate, and fine-tune ML models to achieve high performance and generalization on real-world data.
  • Deploy models into production environments, collaborating with MLOps engineers to ensure scalability and reliability.

About the company

Vyusoft, Inc. logo

Vyusoft, Inc.

We Vyusoft is a research-led, innovation-centric technology enterprise dedicated to building next-generation digital ecosystems for global businesses. With deep roots in enterprise software engineering, AI-first automation, and scalable platform architecture, Vyusoft empowers industries to accelerate digital transformation, streamline operations, and unlock long-term strategic value. Operating at the confluence of intelligent systems and agile execution, We deliver tailored technology solutions that enhance decision-making, operational efficiency, and customer engagement across sectors. Our commitment to innovation is spearheaded by our in-house research division Vyu Research which continuously explores frontier technologies such as artificial intelligence, autonomous systems, decentralized architecture, and real-time financial infrastructure.

Company details

Company size11 - 50

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Job description

This is a remote position.

We’re at the cutting edge of artificial intelligence, building intelligent solutions that transform data into actionable insights. By leveraging advanced machine learning algorithms, deep learning frameworks, and scalable architectures, we deliver AI-powered applications that drive innovation and business growth. To help us achieve this, we are seeking an experienced AI & ML Engineer. The ideal candidate will be highly skilled in developing, training, and deploying machine learning models, and will be committed to turning complex datasets into practical, real-world solutions.

Requirements

  • Strong experience in AI/ML model development and deployment using frameworks such as TensorFlow, PyTorch, or scikit-learn.

  • Proficiency in programming languages such as Python, R, or Java.

  • Hands-on experience with data preprocessing, feature engineering, and model evaluation techniques.

  • Knowledge of deep learning architectures including CNNs, RNNs, Transformers, and large language models.

  • Experience with cloud platforms (AWS, Azure, GCP) for training and deploying ML models.

  • Ability to collaborate with data engineers, MLOps engineers, and business stakeholders to deliver AI solutions.

  • Strong problem-solving, analytical, and research skills, with a commitment to staying updated on AI advancements.





    • Roles and Responsibilities

    • Design, develop, and implement AI and ML models for applications such as predictive analytics, recommendation systems, NLP, and computer vision.
    • Collect, preprocess, and analyze large datasets to ensure quality inputs for model training and evaluation.
    • Train, validate, and fine-tune ML models to achieve high performance and generalization on real-world data.
    • Deploy models into production environments, collaborating with MLOps engineers to ensure scalability and reliability.
    • Monitor, evaluate, and optimize model performance over time, incorporating feedback and retraining as necessary.
    • Collaborate with cross-functional teams to translate business requirements into actionable AI solutions.
    • Stay current with AI and ML research to implement state-of-the-art techniques and improve existing models.
    Salary: 24000

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    MR

    Marcus Rivera

    Chief Revenue Officer

    m.rivera@company.com
    linkedin.com/in/marcusrivera
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