Job Overview:

We are looking for a talented and motivated individual to join our team as a Machine Learning Engineer. This is an excellent opportunity for a recent graduate or someone with minimal professional experience to kickstart their career in the exciting field of machine learning. As a Machine Learning Engineer, you will work on cutting-edge projects, develop machine learning models, and contribute to innovative solutions that drive business growth.

Responsibilities:

1. Model Development:

   • Assist in the development and implementation of machine learning models to solve real-world problems.
   • Work with senior team members to understand project requirements and develop appropriate solutions.

2. Data Preprocessing and Analysis:

   • Clean and preprocess datasets to prepare them for machine learning tasks.
   • Analyze data to extract meaningful insights and identify relevant features for model training.

3. Model Training and Evaluation:

   • Train machine learning models using supervised and unsupervised learning techniques.
   • Evaluate model performance using appropriate metrics and validate results through experimentation.

4. Documentation and Reporting:

   • Document data preprocessing steps, model architectures, and evaluation results.
   • Prepare reports and presentations to communicate findings and insights to stakeholders.

5. Collaboration and Learning:

   • Collaborate with cross-functional teams including data scientists, software engineers, and business analysts.
   • Continuously learn and stay updated on the latest advancements in machine learning and data science.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• Strong understanding of machine learning fundamentals and algorithms.
• Proficiency in programming languages such as Python or R for data manipulation and analysis.
• Familiarity with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Basic knowledge of data preprocessing techniques and statistical analysis.
• Excellent problem-solving skills and attention to detail.
• Strong communication and interpersonal skills.

Nice to Have:

• Experience with data visualization tools such as Matplotlib, Seaborn, or Plotly.
• Knowledge of version control systems (e.g., Git) and collaborative development workflows.
• Coursework or projects related to machine learning, data mining, or artificial intelligence.
• Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and related services.