Artificial Intelligence Engineer

Brief :

• Develop and deploy cutting-edge machine learning (ML) models, focusing on NLP, computer vision, and advanced deep learning techniques.
• Collaborate with business teams to gather requirements, ensuring AI/ML solutions align with

organizational objectives.

• Analyze large datasets to uncover patterns, trends, and actionable insights.
• Implement feature engineering, ensemble learning approaches, and fine-tuning of ML models for

optimal performance.

• Integrate and optimize AI/ML solutions using frameworks like TensorFlow, PyTorch, and Hugging Face.
• Leverage cloud platforms (AWS, Azure, or Google Cloud) to deploy scalable and efficient ML solutions.
• Stay abreast of advancements in AI/ML technologies, including LLMs, LangChain, and VLLM, to

• incorporate innovative practices.
• Educational Qualification: B.E or B.Tech
• Experience: 4-6 years
• Work Experience and Skills required:

• 4 to 6 years of overall experience in developing and deploying machine learning models.
• Proficiency in Python and experience with ML frameworks like TensorFlow, PyTorch, and scikit-learn.
• Expertise in NLP, embeddings, transformers, and libraries such as NLTK and Hugging Face
• Experience with advanced techniques like ensemble learning, feature engineering, and model fine

tuning

• Familiarity with cloud platforms (e.g., AWS, Azure, or Google Cloud) for deploying machine learning models.
• Strong background in data preprocessing, neural networks, and deep learning approaches.
• Excellent problem-solving and collaboration skills, with familiarity in domains like fintech, automation pipelines, and image processing.