What are the responsibilities and job description for the AI Engineer position at Jobs via Dice?
Dice is the leading career destination for tech experts at every stage of their careers. Our client, TATA Consultancy Services Limited, is seeking the following. Apply via Dice today!
AI Engineer
Job Title: AI Engineer
Experience Level: 2-3 Years
Job Summary: We are seeking a motivated and talented AI Engineer to join our dynamic team. The ideal candidate will have 2-3 years of hands-on experience in developing and implementing AI solutions. You will work on exciting projects involving Large Language Models (LLMs) and help us build the next generation of intelligent products. This role is perfect for a passionate engineer who is eager to apply their skills to solve real-world problems and grow their career in the field of Artificial Intelligence.
Key Responsibilities:
AI Engineer
Job Title: AI Engineer
Experience Level: 2-3 Years
Job Summary: We are seeking a motivated and talented AI Engineer to join our dynamic team. The ideal candidate will have 2-3 years of hands-on experience in developing and implementing AI solutions. You will work on exciting projects involving Large Language Models (LLMs) and help us build the next generation of intelligent products. This role is perfect for a passionate engineer who is eager to apply their skills to solve real-world problems and grow their career in the field of Artificial Intelligence.
Key Responsibilities:
- Develop, train, and deploy machine learning models, with a focus on Large Language Models (LLMs).
- Collaborate with senior engineers and data scientists to build and integrate AI features into new and existing products.
- Assist in fine-tuning and optimizing AI models for performance, speed, and cost-effectiveness.
- Work with large datasets to prepare and process data for training and evaluation.
- Implement and maintain AI development and production pipelines.
- Stay up-to-date with emerging trends and technologies in AI and machine learning.
- Contribute to the entire lifecycle of AI projects, from conception and experimentation to deployment and monitoring.
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- 1-3 years of professional experience in a machine learning or AI engineering role.
- Strong programming skills in Python and hands-on experience with ML frameworks such as TensorFlow or PyTorch.
- Familiarity with the fundamentals of Large Language Models (LLMs) and concepts like fine-tuning and inference optimization.
- Experience working with data processing libraries (e.g., Pandas, NumPy) and cloud platforms (e.g., AWS, Google Cloud Platform, Azure) is a plus.
- Good analytical and problem-solving skills.
- A collaborative spirit and the ability to work effectively in a team-oriented environment.
- Strong communication skills and a desire to learn and grow.