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Machine Learning Engineer

Actively Reviewing the Applications

Virtual Connect Solutions

Hyderabad Full-Time 4–8 years
Posted 3 days ago Apply by June 11, 2026

Job Description

We are looking for a motivated Machine Learning Engineer to design, build, and deploy ML models and data-driven solutions. This role is ideal for candidates early in their ML career who are eager to work on real-world problems, learn production-grade ML systems, and collaborate with experienced engineers and data scientists.

Key Responsibilities

  • Develop, train, and evaluate machine learning models for classification, regression, NLP, or recommendation use cases.
  • Assist in building and maintaining ML pipelines for data pre-processing, model training, and inference.
  • Work with structured and unstructured data to extract insights and improve model performance.
  • Deploy ML models into production environments using APIs or batch pipelines.
  • Perform model tuning, validation, and performance monitoring.
  • Collaborate with data engineers, product teams, and senior ML engineers to understand requirements and deliver solutions.
  • Document experiments, models, and technical approaches clearly.

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Required Skills & Experience

  • 3–4 years of experience in Machine Learning, Data Science, or related roles.
  • Strong foundation in Python and common ML libraries (NumPy, Pandas, Scikit-learn).
  • Basic experience with deep learning frameworks such as TensorFlow or PyTorch.
  • Understanding of core ML concepts: supervised/unsupervised learning, model evaluation, and feature engineering.
  • Familiarity with SQL and data analysis techniques.
  • Exposure to cloud platforms (AWS, Azure, or GCP) is a plus.
  • Understanding of version control (Git) and basic software engineering practices.

Preferred Skills

  • Exposure to NLP and Generative AI projects.
  • Familiarity with MLOps concepts (model deployment, monitoring, CI/CD).
  • Experience working with APIs, microservices, or Docker (basic level).
  • Academic or personal projects demonstrating ML applications.

Soft Skills

  • Strong problem-solving and analytical skills.
  • Willingness to learn and adapt quickly in a fast-paced environment.
  • Good communication skills and ability to work collaboratively.

Education

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Skills: data science,machine learning,data,ml
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