Job details

Job type

• Fresher

 

Full job description

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Machine Learning Engineer- ML003

Job Description

We seek a motivated and enthusiastic Machine Learning Engineer to join our team. As a fresher, you will work closely with senior engineers and data scientists to learn, grow, and contribute to various machine learning projects. You will help in building, training, and optimizing machine learning models and work with data to derive meaningful insights. This role is perfect for someone looking to start a career in machine learning, with opportunities for continuous learning and growth.

Key Responsibilities:

• Assist in developing machine learning models: Collaborate with senior engineers to design and build machine learning models for real-world applications.
• Data preprocessing: Work on cleaning, transforming, and organizing datasets to prepare them for model training.
• Model evaluation: Help evaluate models using different metrics and assist in tuning hyperparameters to optimize performance.
• Research and learning: Stay updated on the latest machine learning techniques and best practices through independent learning and team mentorship.
• Collaborate with teams: Work closely with data scientists, data engineers, and product teams to understand project requirements and assist in solution development.
• Documentation: Contribute to project documentation, including code comments, model descriptions, and reports.
• Support model deployment: Assist in integrating models into production systems and monitor their performance over time.
• Debugging and troubleshooting: Help identify and resolve issues in data processing pipelines and model performance.

Qualifications:

Bachelor’s /Master’s degree in Computer Science, Machine learning, Data Science, Mathematics, Statistics, or a related field (or equivalent experience).

Skills:

• Basic understanding of machine learning algorithms (e.g., linear regression, decision trees, k-means clustering).
• Familiarity with programming languages such as Python or R.
• Knowledge of machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with data manipulation tools like Pandas and NumPy.
• Good problem-solving and analytical skills.
• Strong desire to learn and grow in the machine learning field.
• Effective communication and teamwork skills.
• Experience with data manipulation tools like Pandas and NumPy.
• Good problem-solving and analytical skills.
• Strong desire to learn and grow in the machine learning field.
• Effective communication and teamwork skills.

Benefits:

• Learning and development opportunities, including mentorship from senior engineers.
• Flexible work environment with opportunities for remote work.
• Access to industry-leading tools and technologies.Competitive entry-level salary.