Associate Software Engineer – Machine Learning

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Job Opening: Associate Software Engineer – Machine Learning

Company: TechVariable
Position: Associate Software Engineer – ML
Job Type: Full-Time
Locations: Guwahati & Bangalore
Experience: 0-1 Year
Positions Available: 5
CTC: Best in Industry

Job Description

TechVariable is seeking an enthusiastic and motivated Machine Learning Engineer to join our team. This entry-level role is perfect for candidates eager to apply their technical expertise to real-world challenges and grow within a collaborative environment.

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 a related field.

Technical Skills:

  • Basic proficiency in Python and experience with libraries like NumPy, Pandas, Scikit-learn, and TensorFlow.
  • Familiarity with SQL and basic data querying.
  • Understanding of foundational machine learning concepts and algorithms.
  • Exposure to cloud platforms such as AWS, GCP, or 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

  • Proficiency 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.

Apply Now!

Interested candidates can apply using the following link: Apply Here

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