TymblHub

© 2026 TymblHub

AI Engineer

Net connect
Posted on
Net connect logo

Job Location
Gurugram, India
Vacancy
1
Designation
AI Engineer
Job Type
ONSITE

Job Description

Key Responsibilities - Design and develop machine learning algorithms and AI models tailored for business needs. - Implement AI solutions to automate complex processes and enhance operational efficiency. - Collaborate with data scientists to refine data processing techniques and improve model accuracy. - Integrate AI solutions into existing systems, ensuring compatibility and performance optimization. - Conduct research to stay updated with advancements in AI technology and tools. - Work with software engineers to deploy AI models into production environments seamlessly. - Analyze and interpret data to extract insights and drive strategic decision-making. - Provide technical guidance and support to junior engineers on AI projects. Overview - As an AI Engineer Specialist in the ITES sector, you will be at the forefront of developing and implementing advanced AI solutions that enhance business processes and efficiency. - This role involves designing, building, and deploying machine learning models, as well as researching new AI technologies to integrate into existing systems. - You will collaborate with cross-functional teams to identify AI opportunities, improve data processing, and drive innovation within the organization. - Working closely with data scientists and software engineers, you will ensure the seamless integration of AI models into production environments. - This position offers a unique opportunity to lead AI initiatives and shape the future of technology in the ITES sector. Requirements - Proven experience with machine learning frameworks such as TensorFlow or PyTorch. - Strong programming skills in Python, R, or Java, with a focus on AI/ML applications. - Experience in deploying AI models into production environments. - Familiarity with data processing tools such as Hadoop or Spark. - Ability to work collaboratively in a team environment and communicate effectively. - Strong analytical skills and the ability to translate complex data into actionable insights. - Proficiency in AI research methodologies and staying updated with industry trends.