Role Description:

As an AI Engineer at Knowdis.ai, you will be an integral part of our AI development team, working on challenging projects that leverage the latest advancements in Natural Language Processing (NLP) and Reinforcement Learning. You will be responsible for designing, implementing, and optimizing AI models that drive our core products, focusing on product recommendation systems, marketplaces, and translation systems. This role offers the opportunity to work with a team of highly skilled professionals in a dynamic and collaborative environment.

Key Responsibilities:

• Develop and implement state-of-the-art AI models for product recommendation systems, marketplaces, and translation systems.
• Design and optimize algorithms for Natural Language Processing (NLP) and Reinforcement Learning.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Conduct research to stay up-to-date with the latest advancements in AI and integrate relevant findings into ongoing projects.
• Perform data preprocessing, feature engineering, and model evaluation to ensure high performance and accuracy of AI models.
• Deploy and maintain AI models in production environments, ensuring scalability and reliability.
• Participate in code reviews, provide constructive feedback, and ensure best practices in AI development are followed.
• Document technical designs, experiments, and results for internal and external stakeholders.

Qualifications and Experience:

• Bachelor's degree in Computer Science or a related field from a Tier-1 Institute.
• 2-5 years of hands-on experience in AI/ML development, with a focus on NLP or Reinforcement Learning.
• Strong proficiency in programming languages such as Python, and experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras).
• Proven experience in developing and deploying AI models in real-world applications, particularly in product recommendation systems, marketplaces, or translation systems.
• Solid understanding of machine learning algorithms, data structures, and software engineering principles.
• Experience with data pre-processing, feature extraction, and model evaluation techniques.
• Ability to work collaboratively in a team environment and communicate effectively with technical and non-technical stakeholders.
• Strong problem-solving skills, attention to detail, and a passion for innovation in AI technology

Preferred Qualifications:

• Master's degree in Computer Science or a related field.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and scalable AI/ML infrastructure.

Selection Process:

• Interested Candidates are mandatorily required to apply through the listing on Jigya. Only applications received through this posting will be evaluated further.
• Shortlisted candidates may be required to appear in an Online Assessment and Screening interview administered by Jigya
• Candidates selected after the Jigya screening rounds will be interviewed by KnowDis