Top Job Placement Consultancy in Mumbai AI (Artificial Intelligence) Machine Learning

India currently has one of the largest science communities of AI (artificial intelligence) and machine learning experts. So many job opportunities are available to applicants in India with countless roles advertised on job boards weekly.

However, you’ll need to prepare and access more information before filing an application to secure a role as an AI/machine learning professional. You’ve got to know what AI and machine learning are and the required skills to succeed in this field.

You’ll then have to consult a Top Job Placement Consultancy in Mumbai for artificial intelligence jobs if you need extra support.

That’s why this article provides information on vital topics about AI and machine learning you should know. The post also goes further to show you the latest job trends in the AI/machine learning sector, top companies, and much more.

And if you’re keen to consult a top job placement consultancy in Mumbai right away, this article list some top options to contact. Everything in this post will prepare you for the work ahead towards becoming a qualified artificial intelligence/machine learning engineer.

What is AI? 

Artificial intelligence (AI) refers to the ability of a computer system to perform human functions without direct interference. AI equips wired machines to perform all kinds of tasks, ranging from the mundane to advanced.

Machines that depend on computer systems to interact with people and their environment run with AI technology. One of the most widely used forms of AI is machine learning.

What is Machine Learning?  

Machine learning is an application of AI for computer modeling. It relies on mathematical modelling to help machines learn how to perform different tasks.

Machine learning assists computers to develop their learning processes from experiences gathered over time.

Origin of AI and Machine Learning     

1940s: A programmable digital computer capable of mathematical reasoning was invented

1950: Alan Turing described the possibility of machines gaining the ability to think as inventions develop

1951: Christopher Strachey and Dietrich Prinz wrote programs for checkers and chess capable of interacting with human players

1955: Allen Newell and Herbert Simon developed a program with the capacity to proof mathematical theorems

1956: Marvin Minsky and John McCarthy organized a Dartmouth College workshop

1958 – 1961: Scientists designed STRIPS, the first chat bot

1974 – 1979: Reduction in funding for major AI programs reduces its development pace

1980 – 1986: Development of AI hardware by IBM and Apple

1987 – 1993: Reduced funding for AI programs limits research and development efforts

1994 – 2000: Development of advanced algorithms (at the time) like Deep Blue

2001 onward: Development of systems and networks to boost AI and machine learning models

Job Trends in Mumbai for Machine Learning Professionals

These are common job trends in Mumbai for artificial intelligence and machine learning professionals:

-        Team Lead, Analytics, Data Science and IoT

-        Senior Software Engineer, Machine Learning

-        Senior Manager, Advanced Data and Analytics

-        Python Developer

-        NLP Intern

-        NLP Engineer

-        ML/Python Tutor

-        Machine Learning Intern

-        Machine Learning Engineer

-        Lead ML Engineer

-        Director, Transformation, Technology, and Innovation

-        Associate Director, Artificial Intelligence & Insights

-        Associate AI Developer

-        Artificial Intelligence Support Engineer

-        Artificial Intelligence Consultant

-        AI/ML Engineer

-        AI/ML Developer

-        AI Software Engineer

-        AI Programmer

-        AI Architect

Working in any of these roles mentioned above requires specialized skills. That’s why it’s vital for an AI or machine learning expert to know the major skills and languages necessary to perform duties effectively.

Supporting Languages and Skills Required from AI and Machine Learning Professionals 

Use of services   

-        Language identification

-        Carrying out sentiment analysis (determination of the negative or positive level of an identified language)

-        Extraction of key terms and elements (events, people, locations, etc.)

-        Organization of files according to topic

-        Integration of chat software into applications through text or voice format

-        Adoption of natural language processing to understand a text’s intent

-        Improving the overall user experience of human – machine interaction

Programming languages        

-        Shell

-        Scala

-        R

-        Python

-        Julia

-        JavaScript

-        Java

-        C++

-        C#

-        TypeScript, etc.

Machine learning algorithms  

-        Performance of advanced tasks with algorithms (dialogue generation, facial recognition, image/object detection, translation, etc.)

-        Knowledge of major machine learning algorithms and their application

-        Knowledge of basic to intermediate principles and algorithms of artificial neural networks, language processing and deep learning

Exploratory analysis     

-        Identification of anomalies

-        Harmonizing data before modelling (eliminating correlations and outliers from the dataset)

-        Formulation of hypothesis for inference

-        Extraction of information from the data to improve running or new machine learning models

-        Discovery of vital patterns in data through exploratory analysis

-        Derivation of summary statistics for different datasets

-        Creation of simple visualizations from summarized data (graphs, charts, etc.)

Deployment and security       

-        Restriction of access to sensitive data after deployment

-        Regular maintenance of deployed machine learning solutions

-        Enabling auto-scaling to beat expected operational rigors after deployment

-        Assessment of vital parameters (scalability, performance, availability, resilience, etc.) before deployment

Data engineering 

-        Wide knowledge of object storage applications and methods for different kinds of data

-        Store pre-processed data

-        Pre-process (gather, enter, and convert) data

-        Engage tools for easy storage or conversion of massive/complex datasets

Scope for AI and Machine Learning Professionals in Companies 

-        Transportation

-        Security

-        Medicine  

-        Manufacturing      

-        Human Resources           

-        Finance    

-        Education 

-        Business   

-        Banking    

-        Agriculture

Top 10 Companies Hiring AI and Machine Learning Engineers

These companies currently advertised recent job ads for AI and machine learning professionals on multiple boards:

-        Microsoft

-        Apple

-        IKEA

-        IBM

-        Harvard Business School

-        H&R Block

-        Fidelity Investments

-        Deloitte

-        Amazon

-        Accenture

You can always search LinkedIn or other job sites for the latest ads for AI/machine learning engineers. If your search doesn’t yield great results, you can always consult a top job placement consultancy in Mumbai for support.

Job Opportunities for AI and Machine Learning Professionals      

-        Ycenter

-        Xtreme Media Pvt. Ltd

-        The Data Analytics SERVICE Company

-        TECHVED Consulting India Pvt.Ltd

-        S4Support

-        Revolo Infotech

-        Revnomix Solutions

-        Quosphere – A Technology Company

-        Q3 Technologies

-        Postindustria

-        Oneture Technologies

-        Neoteric

-        Mutual Mobile

-        Miquido

-        Kockpit Analytics

-        iAastha Technologies

-        i2e Consulting LLC

-        Gten Consultancy Digital Pvt. Ltd.

-        Freestone Infotech Pvt. Ltd.

-        Exponentia.ai

-        Digiture

-        Decimal Point Analytics

-        Daten & Wissen

-        Cosdec Alpha

-        Cartesian Consulting

-        Brights

-        Bitkraft Technologies LLP

-        AG Technologies Pvt. Ltd

Conclusion 

Working with a top job placement consultancy in Mumbai should only come after getting the right skills in order to succeed as an AI or machine learning professional.

Apart from your academic qualifications, you’re likely to need added certifications from companies like Microsoft and Google to secure some roles. However, entry-level roles into AI and machine learning might not require advanced certifications.

Work to improve your skillset and understand how machine learning or AI works. Then you can consult a top job placement consultancy in Mumbai for your preferred roles with confidence.