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Artificial Intelligence Engineer

Tata Consultancy Services
Posted on
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Experience
4 - 9 yrs
Salary (CTC)
₹5.7L - ₹6.9L
Job Location
Chennai, India
Vacancy
10
Designation
Artificial Intelligence Engineer
Job Type
ONSITE

Job Description

JD


Experience : 4 to 15 years

Location : Chennai

Notice Period : Immediate to 3 Months


Role & responsibilities


  • Degree in computer science, artificial intelligence, or IT.
  • Strong knowledge of AI methodologies, including generative models, machine learning (ML), reinforcement learning, and natural language processing (NLP).
  • Design, implement, and optimize generative AI architectures and models.
  • Build Agentic AI solutions using LLMs, including tool/function calling, Model Context Protocol (MCP), memory, workflows, and orchestration.
  • Collaborate with data scientists and analysts to collect, preprocess, and manage large datasets, ensuring data quality and integrity for model training.
  • Collaborate with cross-functional teams to integrate AI models into production environments, ensuring seamless deployment and operational efficiency.
  • Fine-tune and optimize AI models for specific applications, focusing on improving accuracy, efficiency, and scalability.
  • Experience of cloud-based platforms (e.g., AWS, Azure, GCP) to develop and deploy scalable AI solutions, ensuring high availability and performance.
  • Strong hands-on experience in end-to-end AI/ML engineering, including data preprocessing, feature engineering, model training, evaluation, and optimization for production use cases.
  • Implement MLOps best practices for continuous integration and deployment (CI/CD) of AI models, including monitoring, logging, and version control.
  • Proficiency in programming languages such as Python, .Net or Java, with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Keras).
  • Experience in developing and deploying AI/Gen AI based systems in production.
  • Provide technical guidance and mentorship to junior engineers and team members, fostering a culture of knowledge sharing and continuous learning.

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