Maters of technology in Machine Learning is a post-graduate program in which students focus on advanced skills like machine learning, deep learning and artificial intelligence. In this program, student learns about designing and developing intelligent system, machine learning models and applications of machine learning. 

In this course, students work on research projects; collaborate with industry like healthcare, e-commerce and do internships for hand-on experience for real world scenario.  This course offers many opportunities for ML professionals as it is in demand in this industry.

Students in Masters of Technology in Machine Learning Focus on:

• Machine Learning Fundamentals
• Natural Language Processing
• Deep Learning
• Generative Models
• Statistical  Learning Theory
• Transfer Learning
• Linear Algebra and Optimization
• Bayesian Methods
• Time Series Analysis
• Programming Languages (Python, R, Julia)
• Edge Computing
• Financial Technology
• Social Networks Analysis
• Data Structures and Algorithms
• Data Visualization and Communication
• Blockchain

In this program, students explore many more fundamentals of machine learning and focus theoretically and practically both.

Careers (job profile and salaries) 

See below some job profiles with average salaries as per your interest.

• Machine Learning Engineer

Job profile: The responsibility of Machine Learning Engineer is building ML models, updating and refining ML models. It also test and integrate ML models.

Salary for this job profile: ₹8-₹25 lakhs per annum (Average salary)

• Data Scientist

Job profile: It ensures data quality, integrates data, apply statistical and machine learning techniques.  It also draws meaningful conclusions from data analysis.

Salary for this job profile: ₹10-₹35 lakhs per annum (Average salary)

• AI Researcher

Job profile: It investigate and design new AI algorithms and models, AI researcher also conducts experiments and tests AI models.

Salary for this job profile: ₹12-₹30 lakhs per annum (Average salary)

• Computer Vision Engineer

Job profile:  The responsibility of Computer Vision Engineer is to analyze visual context, depth and 3D reconstruction.  It trains deep learning models (CNNs, RNNs) for computer vision tasks.

Salary for this job profile: ₹10-₹25 lakhs per annum (Average salary)

• NLP specialist

Job profile: NLP specialist develops and optimizes language processing algorithms. It also communicates with NLP concepts to non-technical stakeholders ad stays update on NLP research and trends.

Salary for this job profile: ₹8-₹20 lakhs per annum (Average salary)

• Robotics Engineer

Job profile:  The role of Robotics Engineer is implementing machine learning robot perception, decision-making and navigation.  It controls systems like programming and integrating sensors.

Salary for this job profile: ₹12-₹30 lakhs per annum (Average salary)

• Business Intelligence Developer

Job profile: Business Intelligence Developer design and maintain data for organization to inform all the business decisions. It also maintains databases for BI applications.

Salary for this job profile: ₹8-₹20 lakhs per annum (Average salary)

• AI Consultant

Job profile:   It is responsible for architecting AI systems and for educating clients on AI solutions and AI tools. It also improves efficiency for Ml models.

Salary for this job profile: ₹15-₹40 lakhs per annum (Average salary)

• Data Analyst

Job profile:  Data Analysis applies statistical and analytical techniques, ensure data accuracy and quality. It also identifies trends and communicates with stakeholders for their requirements.

Salary for this job profile: ₹6-₹15 lakhs per annum (Average salary)

• Research Scientist 

Job profile:  The role of Research scientist is to write and publish research papers and reports. Research Scientist works with industry partners and identify patterns.

Salary for this job profile: ₹20-₹50 lakhs per annum (Average salary)

After Masters of Technology in Machine Learning:

1. Ph.D. in different fields

1. Ph.D. in Machine Learning
2. Ph.D. in Artificial Intelligence
3. Ph.D. in Data Science
4. Ph.D. in Computer Science
5. Ph.D. in Statistics
6. Machine learning for Healthcare (Interdisciplinary Ph.D.)
7. Machine Learning for Finance (Interdisciplinary Ph.D.)
8. Human-Computer Interaction (Interdisciplinary Ph.D.)
9. Cognitive Science (Interdisciplinary Ph.D.)
10. Neuroscience (Interdisciplinary Ph.D.)

1. Postdoctoral Research in machine learning-related areas
2. Certification Courses

1. Certified Machine Learning Engineer
2. Certified Data Scientist
3. Google AI Impact Challenge
4. Microsoft AI Research Fellowship
5. NVIDIA Graduate Fellowship

Top Hiring companies

• Facebook
• IBM
• Intel
• NVIDIA
• PwC
• Cognizant
• Bank of America
• Morgan Stanley
• Philips Healthcare
• Siemens Healthcare
• Cerner Corporation
• Uber ATG
• Denso
• Bosch
• Continental AG
• athenahealth
• American Express
• CloudSEK
• SugTuple
• Haptik 

FAQs:

Q: What are the job profiles in Masters of Technology in Machine Learning Course?

• Machine Learning Engineer
• Data Scientist
• AI Researcher
• Computer Vision Engineer
• NLP specialist
• Robotics Engineer
• Business Intelligence Developer
• AI Consultant
• Data Analyst
• Research Scientist 

Q:  Are there any scopes for higher studies after completing Masters of Technology in Machine Learning?

A:  Yes, students can pursue their Career in Ph.D., (Interdisciplinary Ph.D.) in different areas like healthcare, Finance and Neuroscience. They can also go for higher studies in Postdoctoral research and certification courses in different fields.