Machine Learning Engineer
Actively Reviewing the ApplicationsVirtual 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
Required Skills & Experience
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.
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.
- 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.
- 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.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
Required Skills
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