AI/ML Engineer, Advanced Models
Tata Consultancy Services
Bengaluru, Karnataka, IndiaMID
Job Description
TCS is looking for Agentic AI Engineer.
Responsibilities
- Designing, developing, and implementing generative AI models
- Conducting research to stay up-to-date with advancements
Qualifications
- Deep learning techniques such as GPT, VAE, and GANs.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
- Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python, Java, or C++.
- Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Solid understanding of data structures, algorithms, and statistics.
- Proficiency in model development, training, and evaluation.
- Familiarity with deep learning, NLP, and computer vision.
- Experience with data preprocessing, feature engineering, and model deployment.
- Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE (Variational AutoEncoders), and GANs (Generative Adversarial Networks).
- Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
- Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
- Optimizing existing generative AI models for improved performance, scalability, and efficiency.
- Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
- Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
- Contributing to the establishment of best practices and standards for generative AI development within the organization.
- Providing technical mentorship and guidance to junior team members.