Applied AI Engineer

As an Applied AI Engineer Fresher at our company, you will be part of our cutting-edge AI Engineering team. Your role will involve collaborating with senior engineers and data scientists to design and implement AI-driven solutions. You will be responsible for developing, optimizing, and deploying machine learning and deep learning models. Additionally, you will 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, and explore state-of-the-art AI frameworks and research trends. It is important to note that 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. If you are interested in this opportunity, you can share your CV at jignesh.pandoriya@merillife.com. Join us and be part of shaping the future of intelligent systems, where your innovation will directly impact lives.,