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!
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