Tata Consultancy Services(TCS) Virtual Interview-Pan India

Tata Consultancy Services(TCS) Released Job Openings On 20/10/2022.Tata Consultancy Services is an Indian multinational information technology services and consulting company headquartered in Mumbai. It is a part of the Tata Group and operates in 149 locations across 46 countries.Eligibility Criteria / Educational Qualification, Official Notification, Apply Online Form Link & Other Relevant Details for Tata Consultancy Services(TCS) Recruitment 2022 are provided below. Interested and eligible   can  submit application along with resume. 

Vacancy Details:

Tata Consultancy Services Recruiting 15 years of full-time education with experience for AI/ML Subject Matter Expert. Position.Complete Details for the AI/ML Subject Matter Expert as follows.

Important Details :

• Interview Mode : Virtual
• No of Vacancies:Not Disclosed By Recruiter
• Details of Salary: NA
• Opening date for online Application:20/10/2022
• Mode of application :Online
  
• How To Apply: At the End of the Article We Have Provided Source Link,Please Go through that and Follow Necessary Steps

Job Description/Skills Required

Must Have:

1. Passion of disseminate knowledge by delivering training and doing related works like preparation of training materials, engaging in global Bootcamps for building Data Science / AI ML skills, evaluation of candidates etc.
2. Ability to understand business requirements and design upskilling programs / training plan that can range from fundamental to advanced levels based on business requirement.
3. Knowledge of Artificial Intelligence & Machine Learning concepts like Parametric & Non-Parametric Algorithms, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Deep Learning, Natural Language Processing, Natural Language Understanding, Natural Language Generation, Audio Processing (Speech-to-Text & Text-to-Speech), Computer vision & Recommendation systems etc.
4. Knowledge of Deep Learning concepts like ANN, CNN, and RNNs using libraries like Keras, TensorFlow is highly preferred or there should be a willingness to learn deep learning concepts as part of the role.
5. Extensive experience in working with python libraries like Numpy, Pandas, Scikit learn, Seaborn, SciPy, NLTK etc
6. Prior experience in teaching or training groups is also preferred.

Good to Have:

1. Understanding on ML model lifecycle.
2. Experience / familiarity in working with any Cloud based platforms like Azure/AWS/GCP specially with services like AzureML, AWS SageMaker, Google AutoML is an advantage
3. Knowledge of GitHub, AIOps or MLOps are added advantage

Click here for Official notification and Apply