We are looking for passionate and curious AI/ML Engineers (Freshers) with hands-on experience in machine learning and deep learning. You’ll contribute to the development of intelligent systems, working with real-world datasets and modern ML frameworks.

Key Responsibilities:

• Build and train machine learning and deep learning models using TensorFlow, PyTorch, and scikit-learn.
• Work with structured and unstructured data using Pandas, NumPy, and SQL.
• Develop and fine-tune Natural Language Processing (NLP) pipelines and explore LLMs (like GPT, BERT).
• Implement computer vision models using OpenCV and related tools.
• Collaborate with data scientists and engineers to develop scalable ML solutions.
• Participate in data preprocessing, feature engineering, model evaluation, and deployment.
• Contribute to experiments, documentation, and version control (Git).

Technical Skills:

• Proficient in Python and common data/ML libraries (Pandas, NumPy, Scikit-learn).
• Solid understanding of machine learning and deep learning concepts.
• Hands-on with frameworks like PyTorch, TensorFlow, Keras.
• Experience with SQL and working with databases.
• Exposure to OpenCV for computer vision projects.
• Knowledge of NLP techniques, transformer models, and LLMs is a big plus.
• Familiarity with APIs, Jupyter notebooks, and model deployment pipelines is preferred.
• AWS knowledge is a plus.

Eligibility & Requirements:

• Bachelor's or Master’s degree in Computer Science, Data Science, AI/ML, or related fields.
• Strong analytical thinking and problem-solving mindset.
• Practical experience via projects, internships, hackathons, or research work.
• Excellent communication skills and team spirit.

Nice to Have:

• GitHub or Kaggle profile with projects or contributions.
• Understanding of cloud platforms (AWS, GCP, Azure) for ML workflows.
• Awareness of MLOps tools and practices.

What We Offer:

• Work on real-world AI/ML problems with mentorship.
• Continuous learning environment with upskilling opportunities.
• Chance to experiment with cutting-edge technologies like LLMs.
• Supportive, growth-driven team culture.