TechVariable Recruitment 2025 Hiring Associate Software Engineer- Bachelor’s/Master’s Degree
Techvariable
Techvariable off campus drive : Job Overview
| Company | Techvariable |
| Location | Bangalore/Guwahati |
| Category | Software |
| Employment Type | full-time |
| Posted | 20 Jan 2025 |
| Status | Active |
Job Description
Associate Software Engineer - ML
Location: Bangalore/Guwahati
Experience: Freshers (0-1 Year)
Salary: ₹4.5L - ₹7.5L PA (Expected)
Education: BE/B-Tech/Bachelor’s/Master’s Degree
Positions: 5
CTC: Best in Industry
Job Description
We are looking for an enthusiastic and motivated Machine Learning Engineer to assist in building and deploying machine learning models and data systems. This entry-level role is ideal for candidates eager to apply their technical skills to real-world problems and grow as part of a collaborative team.
Roles and Responsibilities
- Assist in designing, training, and optimizing machine learning models.
- Support the development of scalable data pipelines for ML workflows.
- Perform exploratory data analysis and data preprocessing tasks.
- Collaborate with senior engineers and data scientists to implement solutions.
- Test and validate machine learning models for accuracy and efficiency.
- Document workflows, processes, and key learnings.
Required Skills
- Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
- Technical Skills:
- Basic proficiency in Python and knowledge of libraries like NumPy, Pandas, Scikit-learn, TensorFlow.
- Familiarity with SQL and basic data querying.
- Understanding of foundational machine learning concepts and algorithms.
- Exposure to cloud platforms (e.g., AWS, GCP, Azure) is a plus.
- Soft Skills:
- Strong analytical skills and the ability to troubleshoot complex issues.
- Leadership skills to guide junior team members and drive team success.
Preferred Skills/Qualifications
- Technical Skills:
- Fluent in Scikit-learn, PyTorch, and TensorFlow.
- Basic understanding of containerization tools like Docker.
- Exposure to data visualization tools or frameworks.
Key Performance Indicators
- Demonstrate progress in understanding and applying ML concepts.
- Successfully assist in completing ML or data-related tasks within set timelines.
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