Junior Machine Learning & Artificial Intelligence Engineer

Job Summary: Are you a recent graduate passionate about Machine Learning and Artificial Intelligence  Join our dynamic team as a Junior ML & AI Engineer! Were looking for freshers eager to dive into the world of cutting-edge technology, ready to learn, innovate, and contribute to exciting projects. If you have a foundational understanding of ML/AI concepts, proficiency in Python, and a drive to solve complex problems, this is your opportunity to grow in a collaborative and supportive environment.

Key Responsibilities:
 Model Development: Collaborate with senior engineers to design, develop, and implement machine learning models using Python and popular ML frameworks (e.g., TensorFlow, PyTorch).
 Data Preprocessing: Engage in data collection, cleaning, and preprocessing to prepare datasets for model training and analysis.
 Model Training: Assist in training machine learning models, tuning hyperparameters, and optimizing performance metrics.
 AI Projects: Work on diverse AI-related projects, including natural language processing, computer vision, and predictive analytics, under expert guidance.
 Documentation: Ensure code, experiments, and results are well-documented for reproducibility and team knowledge sharing.
 Continuous Learning: Stay updated with the latest advancements in ML/AI, and bring fresh ideas and techniques to improve our models.

Qualifications:
 Education: Bachelors degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
 Programming Skills: Proficiency in Python, with familiarity in libraries like NumPy, Pandas, and scikit-learn.
 Basic Understanding: Knowledge of machine learning algorithms (e.g., linear regression, decision trees, clustering) and AI concepts.
 Analytical Skills: Strong problem-solving abilities with a knack for data analysis and interpretation.
 Communication: Excellent verbal and written communication skills; a team player who can collaborate effectively.
 Passion for ML/AI: A strong interest in machine learning, artificial intelligence, and data-driven solutions.

Preferred Qualifications:
 Additional Skills: Knowledge of C#, .NET, and SQL is a significant advantage.
 Internship Experience: Prior internship or hands-on project experience in ML/AI is a plus.
 Familiarity with ML Frameworks: Basic knowledge of TensorFlow, Open CV, or Keras.
 Data Visualization: Experience with visualization tools like Matplotlib or Seaborn is beneficial.

What We Offer:
 Competitive Salary: Attractive compensation and benefits package.
 Career Growth: Opportunities for professional growth, mentorship, and development.
 Tech Savvy Environment: Work with cutting-edge technologies and innovative tools.
 Team Spirit: A collaborative and inclusive workplace that values your ideas and contributions.

If you're ready to kickstart your career in Machine Learning and Artificial Intelligence, apply today and be part of our innovative journey! Please connect with us hidden_email.

Job Types: Full-time, Fresher

Work Location: Remote,