Freshers Jobs Vacancy – Software Engineer Job Opening at NTT

April 25, 2024

NTT is hiring for the role of Software Engineer, AI&ML for the Multiple locations. Please read the entire information carefully and apply if you are eligible for the Software Engineer Job Opening at NTT

Eligibility Criteria:

Education: Bachelor's degree in Computer Science, 
AI&ML, Data Science, or a related field

Job Location: Bangalore, Pune, Hyderabad, Noida

Experience: Fresher

Skills: Python, Machine Learning

Salary: Upto ₹6 LPA (Expected)

Basic Qualifications Required to be successful in this role:

Proven experience in creating training data sets, labeling and annotating data sets for Machine Learning projects.
Strong understanding of machine learning algorithms, techniques, and frameworks.
Proficiency in Python or similar programming language needed for Machine Learning.
Experience with machine learning libraries and frameworks, like TensorFlow or PyTorch..
Solid knowledge of data preprocessing, feature engineering, and model evaluation techniques.
Familiarity with any of cloud platforms like AWS or GCP, and experience deploying and managing models.
Strong analytical and problem-solving skills, with the ability to think critically and creatively to solve complex business problems.
Excellent communication and collaboration skills, with the ability to effectively convey technical concepts to non-technical stakeholders.

Preferred Qualifications:

Master’s degree or higher in Computer Science, Data Science, or a related field.
Experience working on AI and ML projects in a professional setting.
Familiarity with data visualization tools and techniques for communicating machine learning results
Experience with natural language processing (NLP) and computer vision techniques.
Understanding of software development methodologies, such as Agile or DevOps.

Job Description for Software Engineer Job Opening at NTT:

Collaborate with cross-functional teams to understand business requirements and identify opportunities for machine learning techniques.
Analyze and evaluate existing systems and processes to identify areas where machine learning can be leveraged to improve efficiency, accuracy, and decision-making.
Work with engineering-leads to design and develop machine learning models and algorithms to solve complex business problems, such as recommendation systems and computer vision models.
Collect, clean, and preprocess (label and annotate) data from various sources to train machine learning models.
Train, validate, and fine-tune machine learning models using appropriate algorithms and techniques.
Collaborate with data engineers and software developers to integrate machine learning models into existing systems and new applications.
Conduct thorough testing and validation of machine learning solutions to ensure their accuracy, reliability, and scalability.
Monitor and evaluate the performance of deployed machine learning models, making necessary adjustments and improvements as needed.