Meril - Applied AI Engineer

Description :

Role Overview :

We are seeking high-potential graduates from IITs or NITs for the role of Applied AI Engineer (Fresher) to join our cutting-edge AI Engineering team. This opportunity is ideal for someone with a solid foundation in Data Structures & Algorithms, strong problem-solving skills, and a passion for AI, machine learning, and deep learning technologies.

Please note : A minimum 3-year commitment with the company is required for this position.

Key Responsibilities :

- Collaborate with senior engineers and data scientists to design and implement AI-driven solutions.

- Develop, optimize, and deploy machine learning and deep learning models.

- Translate abstract AI challenges into efficient, scalable, and production-ready code.

- Contribute to data preprocessing, feature engineering, and model evaluation tasks.

- Participate in technical discussions, code reviews, and performance tuning.

- Explore and experiment with state-of-the-art AI frameworks, architectures, and research trends.

- Maintain clear technical documentation for models, codebases, and system designs.

Required Skills :

- Exceptional problem-solving abilities with a strong command of Data Structures and Algorithms.

- Proficiency in Python and its core libraries (NumPy, Pandas, scikit-learn).

- Fundamental understanding of machine learning concepts, including model training, evaluation, and overfitting.

- Exposure to deep learning frameworks such as TensorFlow or PyTorch.

- Good grasp of object-oriented programming and software engineering principles.

- Strong analytical, logical thinking, and mathematical skills.

- Demonstrated passion for AI and a continuous learning mindset.

Preferred Qualifications (Nice to Have) :

- Hands-on experience with AI/ML projects through internships, research, or hackathons.

- Familiarity with Reinforcement Learning, NLP, or Computer Vision.

- Knowledge of Git, Docker, and experience with cloud platforms (AWS, GCP, or Azure).

- Open-source contributions or published research in AI/ML domains.

Educational Qualifications :

- B.E./B.Tech/M.Tech in Computer Science, Artificial Intelligence, Machine Learning, or Data Science from IITs or NITs only.

- Strong academic record with a demonstrated interest in AI/ML through coursework, projects, or independent initiatives.