AI Engineer

At Cloneifypro, we are at the forefront of digital transformation, helping businesses innovate faster with scalable software solutions, AI-powered applications, and next-gen automation platforms. Our mission is to empower startups, enterprises, and global brands to harness the true potential of Artificial Intelligence (AI).

We are expanding our AI-driven team and looking for passionate AI Engineers (Entry Level) who are eager to learn, innovate, and grow with us. If you’re someone who thrives on solving real-world problems using data, algorithms, and machine learning models, then this role is for you.

Position: AI Engineer (0–2 Years Experience)

Location: Canada 
Job Type: Full-time
Experience Level: Fresher – 2 years

As an AI Engineer at Cloneifypro, you will be responsible for building and optimizing AI-powered applications that make businesses smarter and more efficient. Your daily responsibilities will include:

1. Data Handling and Preprocessing

• Collect, clean, and organize structured and unstructured data from multiple sources.
• Apply preprocessing techniques such as normalization, feature engineering, and data augmentation.
• Work with large datasets to ensure data quality, consistency, and usability.

2. AI Model Development

• Design, implement, and optimize machine learning (ML) and deep learning (DL) algorithms.
• Experiment with frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Fine-tune existing models to achieve better accuracy and efficiency.
• Build models for applications such as recommendation systems, NLP-based chatbots, computer vision, and predictive analytics.

3. Research and Innovation

• Stay updated with the latest trends in AI, ML, and data science.
• Contribute to developing AI-based prototypes and proof-of-concepts.
• Research and test emerging tools, libraries, and AI techniques.

4. Software Development and Integration

• Collaborate with software engineers to integrate AI models into applications.
• Deploy models into production environments using cloud platforms (AWS, Azure, GCP).
• Ensure models are scalable, efficient, and optimized for real-time use cases.

5. Collaboration and Teamwork

• Work closely with product managers, designers, and developers to understand project requirements.
• Translate business needs into AI-based solutions.
• Participate in brainstorming sessions to bring new ideas to life.

6. Testing and Optimization

• Evaluate AI models using performance metrics such as precision, recall, and F1-score.
• Debug and optimize AI pipelines for speed and accuracy.
• Continuously monitor deployed models to improve outcomes.

Desired Skills and Qualifications

To excel in this role, you should have:

• Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Information Technology, or related fields.
• Programming Skills: Proficiency in Python, R, or Java; familiarity with libraries such as NumPy, Pandas, and Matplotlib.
• Machine Learning Knowledge: Understanding of supervised, unsupervised, and reinforcement learning.
• Deep Learning Expertise: Basic knowledge of neural networks, CNNs, RNNs, and transformers.
• Data Handling: Hands-on experience in SQL, NoSQL databases, and cloud-based data storage.
• Tools & Frameworks: Exposure to TensorFlow, Keras, PyTorch, Scikit-learn.
• Analytical Thinking: Strong problem-solving skills with the ability to break down complex problems.
• Communication Skills: Ability to work in teams and explain technical concepts in simple terms.

Bonus Skills (Good to Have):

• Experience with Natural Language Processing (NLP).
• Knowledge of Computer Vision applications (image recognition, object detection).
• Familiarity with cloud platforms (AWS, GCP, Azure).
• Understanding of MLOps tools and pipelines.

Why Join Cloneifypro?

• Work on cutting-edge AI and ML projects that impact global industries.
• Collaborate with a highly skilled team of developers, data scientists, and engineers.
• Access to mentorship and continuous learning opportunities.
• Be part of a culture that values innovation, creativity, and problem-solving.
• Competitive salary package, perks, and growth opportunities.