Job Overview
We are looking for enthusiastic AI / Machine Learning Freshers who are passionate about building intelligent systems and solving real-world problems using data. The ideal candidate should have a strong foundation in machine learning concepts, programming, and data analysis.
This role provides an opportunity to work with experienced data scientists and engineers to develop AI-powered applications across domains such as analytics, automation, and decision intelligence.
Key Responsibilities
- Assist in developing and implementing machine learning models and AI solutions.
- Work with structured and unstructured datasets to perform data preprocessing, analysis, and feature engineering.
- Support the development of predictive models, NLP solutions, and recommendation systems.
- Collaborate with data scientists, engineers, and business teams to understand requirements.
- Test, evaluate, and optimize machine learning models.
- Assist in deploying models using cloud platforms and APIs.
- Document models, experiments, and technical processes.
Required Skills
- Basic knowledge of Machine Learning algorithms (Regression, Classification, Clustering).
- Programming knowledge in Python.
- Familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
- Understanding of data structures, statistics, and probability.
- Exposure to data visualization tools (Matplotlib, Seaborn, Power BI, etc.).
- Basic understanding of SQL and data handling.
Preferred Skills
- Exposure to Natural Language Processing (NLP) or Deep Learning.
- Knowledge of Generative AI / LLMs.
- Experience with Git, APIs, and cloud platforms (AWS, Azure, GCP).
- Hands-on projects, internships, or Kaggle participation.
Qualification
- B.E / B.Tech / M.Tech in Computer Science, Artificial Intelligence, Data Science, or related field.
- 2023 / 2024 / 2025 graduates are welcome to apply.
What We Offer
- Opportunity to work on real-world AI projects.
- Mentorship from experienced AI and Data Science professionals.
- Exposure to modern AI tools, cloud platforms, and advanced analytics.
Career growth in the AI and Data Science domain
