AI Engineer (Fresher) Jobs in Magnus Technology Solutions New York, NY

Job Title: AI Engineer (Fresher)

Location: on site or hybrid
Job Type: Full-Time / Entry-Level
Department: Artificial Intelligence / Data Science
Experience Level: 0–1 Year (Freshers welcome)

Job Summary:

We are looking for a highly motivated and passionate AI Engineer (Fresher) to join our growing AI/ML team. As an entry-level AI Engineer, you will assist in building intelligent systems and contribute to designing, developing, and deploying machine learning models and AI-driven applications. This is a great opportunity to kick-start your career in artificial intelligence and work on real-world projects with mentorship from experienced professionals.

Key Responsibilities:

• Assist in developing and training machine learning models for various business use cases.

• Perform data cleaning, preprocessing, and transformation on structured and unstructured datasets.

• Work with senior engineers and data scientists to deploy AI models into production.

• Conduct research and stay updated on recent trends and technologies in AI/ML.

• Write clean, efficient, and well-documented code in Python or other programming languages.

• Collaborate with cross-functional teams including data engineers, software developers, and product managers.

• Support in testing, debugging, and optimizing AI models and algorithms.

• Help maintain documentation and reports related to AI experiments and performance.

Required Skills:

• Solid understanding of machine learning concepts and basic algorithms (e.g., Linear Regression, Decision Trees, Clustering, etc.).

• Programming experience with Python (NumPy, pandas, scikit-learn, etc.).

• Familiarity with deep learning frameworks such as TensorFlow or PyTorch (basic level is sufficient).

• Good grasp of data structures, algorithms, and problem-solving techniques.

• Basic understanding of statistics and probability.

• Strong analytical and logical thinking skills.

• Eagerness to learn and adapt to new tools, frameworks, and AI trends.

Preferred Qualifications (Good to Have):

• Internship or project experience in AI/ML or Data Science.

• Knowledge of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.

• Exposure to cloud platforms (AWS, GCP, Azure) for AI deployment.

• Familiarity with version control systems like Git.

Educational Qualification:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field.

What We Offer:

• Mentorship and career development opportunities.

• Access to cutting-edge AI tools and technologies.

• Opportunity to work on real-world AI projects from day one.

• A dynamic and supportive team environment.

If you're passionate about AI and ready to launch your career with hands-on experience, we’d love to hear from you!