Crisis Communication in the Post Digitalization Era

Crisis Communication at large has undergone a massive change in the last few decades especially after the introduction of new media and digital technologies. Earlier Corporate India used to have a Public Relations (PR) department which was mainly dedicated to maintaining the image of the organization. This was done using a series of steps including maintaining healthy relationships with people both at the internal level as well as with the audience or the customers at large. This department was also responsible for looking after the crisis communication in case of crisis situations. Now, in the post digitalization era, crisis may arise from Tweets, YouTube Videos or even a song, which has the power to tarnish the reputation of an organization.

There has been a notable instance in the year 2009 where a Canadian singer named Dave Carroll who had posted a song on YouTube based on “United Breaks Guitar” after his guitar was broken while flying through United Airlines. Initially the organization claimed that it was the negligence of the passenger and tried to shrug off the blame but through this song the Carroll made it a point to explain the entire incident. This musical video became popular in no time and gained massive attention of the audience which further influenced them from taking United Airlines flights for a while. The organization had to take many efforts to counter this narrative and thereby deal with this crisis situation to get back their customers, including offering a brand new Taylor guitar to Dave.

Now, this is not just one case rather with the growing popularity of online contents we get to see many such protests coming up almost every week. This is where the major challenge lies in dealing with a crisis scenario which has the potential of getting viral and thereby causing harm to the reputation of the organization.  Here, the key lies in targeting the same medium to build up a counter narrative and reach out to similar audience for managing the crisis situation.  For example, if a false narrative is spreading against an organization through twitter then the organization will have to take up initiatives to ensure that a counter narrative is spread from their end through twitter as well. So, it is not just important to target the crisis through communication but it is also important to use the same channel of communication though which the crisis has been spread.

Earlier organizations used to have draft Press Release ready for situations like any mishap during working hour or financial crisis which the organization may face in future. This used to help them to ensure that this Press Release can be readily spread if there are any such scenarios coming up in the near future. These days the definition of crisis has gone way beyond and all thanks to new media where anyone can literally post anything against an organization. Be it grievances from a customer or any counter narrative strategy used by competitive organization, crisis can come up in any form which was not even predicted before. In this case preparing a Press Release from beforehand will not be possible for any organization due to the vast diversity of crisis situations which may arise in the digital age. Hence, this is where using the same medium of communication can actually help any organization to target the same audience who has perhaps come across the information causing crisis in real time.

Strategic Communication management is playing a key role where dynamic crisis management is actually possible according to the book “How to Communicate Strategically in Corporate World”. The book states that communication has become an integral part of the strategies designed by an organization where a Chief Communications Officer often presides over the developments taking place in crisis management and other related strategic communication. Factors like personal touch and empathy are the key players in crisis communication where it is not just restricted to Press Release rather the organizations use strategies for communicating with people.

Sometimes, incidents like a flight crash can also come up as a crisis where communication becomes the major factor using which it can be managed. In one such incident during a flight crash of Air Asia, the organization had a strong hold of the situation and handled it so well that it had further lead to a positive publicity of the organization. This was possible due to the use of personal touch and empathy from the end of the organization during crisis communication. In this case the Tweets done by the spokes person Tony Fernandez who had profusely apologized for the plane crash and expressed that the organization takes over all the charges of the accident. This acted as a turning point where the audience could understand that the organization had genuine emotions towards the family members of the injured and deceased person. It became an eye opener for many other organizations that later came up with similar strategies to deal with crisis. Having empathy in communication helps to ensure that it is not the organization v/s the customers or the audience rather there is a blend between the organization and the audience. It further helps to persuade the audience ensuring that the organization is with them and not against them, making this one of the best practices in crisis communication.

Crisis communication has undergone a huge change over the course of time and now the use of only Press Release is not sufficient for crisis communication. The preference for medium of communication among the audience has changed, the lifestyle of the audience has changed and so do the nature of strategic communication but what has still remained same is the emotion. Hence, it is through personal touch and empathy that a crisis situation can be better handled and it should be reflected through crisis communication.

Prof (Dr) Mahul Brahma (PhD, DLitt) is a Professor and Dean of School of Media and Communications, Adamas University and a Fellow of School of Art, Film and Media, Bath Spa University, UK. He is an author and TEDx speaker. His latest book The Mythic Value of Luxury has won Sahityakosh Samman recently. His first short film was screened at Cannes Film Festival.


On 23rd May 2022, the world stood alarmed once again, when the increasing number of cases of the rare Monkeypox infections were reported to stand at 131 from 18 non-endemic countries, although there has been no recent associated death.

The Monkeypox virus (MPXV) which belongs to the Orthopoxvirus genus of the Poxviridae family is made up of double-stranded DNA and is zoonotic in nature. Due to its maintenance in the wild animal population, it is far less sensitive to common eradication methods.  Certain risk factors associated with MPXV infection include increase in geographical range and cessation of vaccination of the host. Environmental factors like increasing risk of animal-host transmission and frequency of contact with potential host may also contribute to viral transmission.

Back in 1958, the MPXV was first identified as a member of the Orthopoxvirus genus by the State Serum Institute in Copenhagen, Denmark. It was isolated first from vesiculo-pustular lesions of infected cynomolgus macaques. In 1970, first human infection was detected in the remote area of Democratic Republic of Congo. 6 deaths were reported in 1996 along with 71 clinical cases. In 2003, first case of MPX in the USA was initiated by exotic pets imported from Ghana. Reemergence of MPXV occurred in 2017 in Nigeria after 39 years of no reported case. In 2018, 3 individual patients were diagnosed with MPX in the UK.

MPXV originated from progenitor pox virus and shares similarities with the variola virus. It has two origins, one of which is the West African variant, exhibiting lower virulence and are less transmissible to humans. The only few cases were reported from certain West African nations. The other strain originates from Central African which prohibits inflammatory cytokine production in infected patients by preventing T-cell receptor-mediated activation and hence is far more virulent.

Specimens for clinical diagnosis purposes include that from skin lesions and swabs. The dermis might exhibit papular lesions. Keratinocytes exhibit vasculitis and viral inclusions apart from spongiosis. Detection of immune responses to the presence of other OPXV makes serological testing unsuitable for MPXV diagnosis, although it may provide evidence of viral exposure.  Injection of anti-poxvirus antibodies into unvaccinated infected individual may aid in diagnosis of MPX. All cases from Nigeria, Singapore, UK and Israel were identified as West African MPXV using PCR and genetic sequencing.

Direct or indirect contact with infected animals (live or dead), for e.g. hunting of small animals for food is the main cause for the transmission of virus in humans, while in animals, aerosol transmission has been detected. Due to increase in T-cell response and production of antiviral antibodies during the course of infection, the development of highly-sensitive diagnostic techniques may help cure patients faster.

The impact of the existing smallpox vaccine on MPXV infections will play an important role in the prevention of the disease, due to concerns regarding its adverse effects in an immunocompromised population. Till now, the Modified vaccinia Ankara (MVA) has been found to confer protection against lethal doses of MPXV except for cases in which severely diminished T-cell protection has been observed in the primates.

Contrasting SARS-COV2 MPXV which spreads though aerosols and is more contagious, MPXV spreads though contact and is less contagious. Nevertheless, an extended chain of person-to-person transmission of monkeypox in the Democratic Republic of Congo is an indication of the potential of the virus to infect immunocompromised individuals, which may cause its evolution and independent maintenance in the human population. Groups of population including pregnant women and immunocompromised persons are at higher risk of getting infected. Due to diversity of taxa supporting MPXV replication, more species of animals are prone to the risk of viral infection. Although, there is a lack of information regarding the species causing the viral transmission, certain approaches may be useful in detecting and better understanding the origin, transmission and risk factors of MPXV. These include predictive risk modelling across different landscapes and scales, theoretical mathematical modelling studies, population genetic studies, ecologic risk mapping studies and surveys.


What does engineering have in store for the future? Would engineers be able to find work in the upcoming post-COVID scenario, or will they first require any new skills to equip themselves with? How will core engineering be taught on the internet? – These are some of the slew of questions that haunts every aspiring student, educational institutions, instructors and also parents. The future is undoubtedly unpredictable, but it does not imply that it is doom and gloom.

In view of the post-pandemic scenario, in this article, a quick idea on an insight ‘Inside Engineering 2022’ has been provided. It encompasses of the upcoming post-COVID campusing scenario, online learning, the upcoming job market, and the need to shed light on the present system of Engineering education. This is always dependent on the branch that the student had pursued. For example, the global trend of economy, or the industrial professionals’ opinions, is that the manufacturing industry will increase first and mainly owing to the need for healthcare equipment. Second, everyone is now drifting towards online platforms for various reasons, therefore we may expect an increase in online platforms, e-commerce, and professional opportunities, particularly in data science and analytics. Because once all of the data is available online, there is a lot of room for different types of prediction. As a result, students are mostly getting enrolled in Computer Science-related programmes will be able to find work. However, this will be determined by their skill sets. Some of the frequent questions have been answered in the following section:

Can core engineering be taught effectively online?

Definitely not. However, there are a number of options for dealing with this issue. To begin, students need to have a basic comprehension of theoretical concepts. Second, students should be able to put these theoretical principles into practise, regardless of whether they learned them online or offline. So, after they’ve grasped the concept, they must figure out how to put it into practise. Using simulation software or virtual laboratories is one approach to keep their learning on track. There are various platforms that provide various kinds of training for mechanical and even aerospace engineers, but if the environment is favourable, they should begin looking for internship possibilities.

Can an insight be given on the impact of lockdown on educational institutions?
It is certainly not possible for each and every professor to have necessary infrastructure for online instruction. At the same time, there are other options to consider. For example, there are students who find it difficult to access to the internet in villages or who live in places where there are regular power outages. However, better evaluation techniques may be pursued that presently exists in various educational industries, which includes providing students with homework or taking viva over the phone. This will certainly require a good amount of work on the part of instructors. If they are unable to provide such assessment mechanisms, educational institutions may require students to enrol in any of the government of India’s online courses. Some well-known colleges, such as Adamas University and others, have partnered with Coursera, allowing students and staff members to enrol in online courses. It is also feasible for us to assess based on the outcomes of the courses. There are several chances available; how you utilize them is entirely up to you. There are probably 1% or fewer of pupils who do not have a smartphone. So, if we look at the possibilities on current platforms, we’ll be able to do a better job of evaluating them.

Is the trend to online learning beneficial? Or is it better to revert to our old habits?

It will certainly depend on the individual whether it is better or not. People, for example, use WhatsApp to communicate more effectively. People often use it to post hilarious movies or spread false information. Since a result, it will be determined by how we employ it, as anything created by man may be used or mistreated. The same is true with internet technology. There are also cyber laws to consider. When we first started using WhatsApp, there was no such thing as a sharing issue. However, the government has recently implemented stricter safeguards. As a result, it will be entirely dependent on the individual. In another scenario, suppose a student is taking a Coursera course and he requires to enhance his skills. So, after the questions are shown on Coursera or any other online course site, he can look up the answers using Google, but he won’t be able to demonstrate his ability in an interview. He has the option of using it for the good of society or for his own advantage. However, if he wants to misuse it, he may do so. However, if the rules take effect and the government enforces the internet cyber laws even more strictly, this will come to an end.

Overnight, the coronavirus had transformed the employment market. The global pandemic has had a major impact on the economy and job stability. It has a long-lasting, and game-changing consequences. Some industry, corporations, and employees have benefited from the worldwide epidemic of Covid-19. They were quarantined and worked from home since everyone was instructed to stay isolated, exactly as they had done for the preceding two years owing to the recent epidemic. As a result, a new teleworking revolution has begun, with increasing demand for computer-related jobs. Because everyone wants a secure virtual connection (with all services), this current epidemic has resulted in several mind-blowing discoveries, inventions, and other future ideas. As a consequence, computer jobs are and will always be a great way to stay safe, especially because many of them allow to work from home. Many huge organizations are on the lookout for new potential workers to give with the perks they deserve, such as health insurance, paid time off, and online jobs. Full-stack developers earn an average of $94,164 per year and have had the most increase in job vacancies of any profession in history, up 162 percent since 2016.To operate on both the front and back ends of technology, computer scientists need a diverse set of computing abilities. This reflects larger job market developments, in which organizations are giving technology roles to their employees quicker than they can find qualified people to fill them, resulting in a labour shortage. As a result, information technology professionals are in some of the strongest situations to enhance their pay and benefits.

Artificial Intelligence in Health Care: A New opportunity to build Career

In lockdown era of Covid-19 outbreak, creates a recession in different working sectors and numerous people lost their jobs in different areas.  After pandemic, new job opportunities have been opened up. Among them, AI in health care is considered as one of the promising one. In the context of covid-19 pandemic there exist shortage of health care personnel and this not fulfilling the diagnosis response at the emergency stage. Integration of AI in health care can be considered as a promising option to overcome the shortage of health care personnel. Now question is that how a computer Engineer can incorporate AI in health care. The applications of AI into health care have been categorized into three groups.

  • Patient-oriented AI
  • Clinical oriented AI
  • Administration and operational Oriented AI

The Patient oriented AI system can directly improve the patient care. According to the report of UK Govt., if the AI-enabled symptoms checker is coupled with the telemedicine technology, reduced number of physicians visits in hospitals. Different Machine Learning and deep learning-based (ML/DL) algorithms have been considered to train the aforementioned AI-enabled symptoms checker system where the several symptoms of the common diseases have been considered as the training data.

 Apart from this, several organizations adopted the chatbot system to improve the patient care. Chatbot is a software program that automatically chat with the patients through text or voice messages. A chatbot system, initially collects information from patients. After analyzing this information using different Computer vision techniques, provides the information regarding the present conditions of the disease as well as, what he will do. In some places, the chatbot systems are not capable of collecting the patients’ information, a wearable device can play an important role. These wearable devices sense the patient’s disease information through some sensors and AI-based methodologies provide the actual conditions of the disease. Another noteworthy fact is that AI can improve the accuracy in disease detection.

 In developing countries like India, the doctor and patient are low and an individual clinician works nearly 14-18 hours in a day. Due to this extensive workload, clinicians may overlook the early sign of the disease. A computer aided diagnosis system (CAD) can assist doctors to detect these symptoms at the early stages. The researchers from University of Calcutta said that their implemented CAD system is capable of detecting lung nodules at early stages which may indicate lung cancer if it is detected at later stages.

Furthermore, AI can also increase the efficacy of the targeted therapy. AI is capable of identifying the accurate effected area of the abnormal tissue. By supervising the effected area through computers, a clinician can provide the drug to the patients.

Apart from the computer vision techniques, the natural language processing (NLP) also improves the clinical outcomes. In daily clinical practice, clinicians often required previous disease history, medications doses and the family history of the disease to prepare appropriate diagnose plan. In health sector, the data are stored in an unstructured manner i.e., the health sector-maintained paper-based work. Due to extensive workload these data may lost. The Electronic Medical Record or EMR is a software where the NLP techniques can store large number of clinical text data in a structured form. In present context, the existing EMR software is very costly. This necessitates the AI-based health care industry to implement a low cost and more accurate EMR tool for improved diagnosis procedures. The Norway based’s AI enabled EMR system shows that it fills clinical data 90% more faster than the human work. Another interesting application of AI in health care is robotic surgery. In this application, different computer algorithms have been automated for different surgeries. However, the general decisions are still taken by the surgeon.  

Beside the clinical outcomes, AI can also improve the patient safety. It has been observed that, several patients suffer from adverse drug effects i.e., the drug is not suited for the patient body. Israel’s MedAware’s patient safety platform considered different ML algorithms to detect and reduce the risk of medication error.

This discussion reveals that to provide improved health care, participation of AI engineers in heal care industry become an inevitable option. This creates huge job opportunities to the engineers.

Why Is Translation Important for Indian Literature?

Why Translation of Literature is important in a country like India?

The relevance of vernacular language literature and translations in India has been in talk of the town owing to Indian novelist Geetanjali Shree’s Hindi novel Ret Samadhi, which was recently translated into English as Tomb of Sand by Daisy Rockwell and won the prestigious International Booker Prize in the last month. This comes at a time when the publishing industry has just witnessed a resurrection in promoting translation. Publishers have realized the value of translations and have begun to invest in their promotion.

Are we going through a changing time? 

Even a few years ago many publishers were doubtful to invest money on translations, claiming the possibility that they would not be appealing to the global readers and hence would not be consumed internationally and subsequently become a commercial failure. The translation scenario in India has definitely improved, owing to the concentrated efforts of various people and organizations. Whereas Indian languages like Bengali, Malayalam, and Tamil, have a greater number of translations into other regional languages as well as English, many other Indian languages require ongoing support to bring their literature to the larger audience. Translation became an equally important part of the publishing vision as you can’t run your business in the publishing industry in a country like India, with is a multicultural as well as multilingual nation without publishing translation. The media exposure and prizes that regional authors are receiving  have greatly aided in bringing these wonderful, captivating literary works to the attention of the people.

Is translation of the vernacular Indian literature necessary?

India has always been a country with a diverse range of culture and languages. As India has a diverse range of languages, with hundreds still spoken today contemporary laws give equitable representation in the constitution, respecting the feelings of all language speakers. In India, English literature grew in popularity during the previous century. An examination of Indian literatures in the last few decades of nineteenth century and first few years of twentieth century demonstrates that translation as an art and practice was significantly responsible for its expansion. Many Indian authors might have stayed unknown beyond India if it hadn’t been for translation. Without the English translated version of the masterpiece Gitanjali, who would have known of Rabindranath Tagore?Translators are recognizing the value of translations, particularly when it comes to translating not only classics but also the modern literary texts. Most of the Indian writers and scholars have come to the conclusion that translation aids in the integration of India and the rest of the world. By removing linguistic restrictions, writers and publishing houses will have a better opportunity to showcase their creativity, perception, and insights. It easily facilitates in adding a variety of your work and ensuring that it reaches a large number of people who are interested. Aside from the assistance of linguistic professionals, one can communicate considerably more effectively in foreign nations. It can be said that it fosters unity across diverse cultures, which is fascinating. It not only brings that language to the forefront, but it also allows the rest of the world to see India from a unique perspective. When a writer translates, they get the ability to share their views and to constantly expand.


Pharmacy is a versatile, dynamic, and fast-growing profession with a wide range of professional opportunities. With the enormous advancement in this field, it became one of the primary pillars of global healthcare. Centrally regulated education policies in India, pharma education became more specific in its target. Pharmacists contribute to their workforce in different areas of healthcare and society starting from medical shops to research and development. Maximum therapeutic benefit from their treatment and medicine is the primary concern of a pharmacist. Many pharmacists work behind the screen to run a smooth healthcare system and face the unbound challenges of healthcare. The pharmacy profession has been ranked by Gallup poll (USA) as one of the trustworthy professions. The third-largest professional to provide healthcare services in the world is the pharmacist.  

The pharmacy word has been coined from the Greek word ‘Pharmacon’ which means drug. The demand of a defined pharma education has increased by identifying the complexity of medicine and their formulations and the criticality of making the medicines. In the ancient era, pharmacists are entitled to help physicians. Nearly at 1240 AD, the pharmacy has separated from medicine to fulfil the requirement of skill, knowledge, and responsibility to manufacture medicine. There are other systems of medicine also in practice in India like Ayurveda, Sidha, and Unani where the separate skilled pharmacist demand also came into existence. Pharmacy education in India was certified level offered in Goa by the Portuguese in 1842 and the university level education started in 1937 at Banaras Hindu University (BHU). Since then, several universities, and colleges are offering courses across the country. The first Pharmacy college in Asia was established in 1842 in Goa, India. Prof. M L Schroof is called the father of Pharmacy education in India. The Pharmacy act 1948 regulates the Pharmacy profession in India and as per Sec 3 of this act the Pharmacy Council of India (PCI) has established which regulates the Pharmacy education in India. The courses like Diploma in Pharmacy (D. Pharm), Bachelor of Pharmacy (B. Pharm), Doctor of Pharmacy (Pharm. D.), and Master of Pharmacy (M. Pharm) is offered by different colleges in India.  

Diploma in Pharmacy: Minimum requirement is 10+2 Science stream. It’s a 2-year full-time course with 500 hours of hospital training. 

Bachelor of Pharmacy:  Minimum requirement is 10+2 Science stream (PCM/PCB/PCMB). It’s a four years full-time course. After D. Pharm 3 years course (Lateral entry at 2nd year) 

Doctor of Pharmacy: Minimum requirement is 10+2 Science stream (PCM/PCB/PCMB) or D. Pharm. It is a six-year course including one year internship. After B.Pharm direct admission of 4th year of Pharm D. 

Master of Pharmacy: Minimum requirement is B. Pharm from a PCI-recognized institution. It’s a two years full-time program. The specializations are Pharmaceutics, Pharmaceutical Analysis, Pharmacology, Pharmacy Practice, Pharmaceutical Biotechnology, Industrial Pharmacy, Pharmacognosy, Pharmaceutical Chemistry, Regulatory Affairs, and Quality assurance.  

Ph.D. in Pharmacy: Minimum requirement is M. Pharm. It can be full-time or part-time. The minimum duration is three years.   

The Pharmacy education in India is well defined with wide range of career opportunities. It is also a divine profession associated directly with core healthcare system. The professions also include production of medicine, direct health care manger as clinical and hospital pharmacist, educationist, government job, research and development, analytical chemist etc. Choosing Pharmacy profession is definitely a wise decision towards a perfect career and a divine job.  

Career as a Machine Learning Engineer in the post-pandemic world

The entire globe has been facing an unprecedented challenge from the Novel Coronavirus, which has made the physical world come to a standstill and the world economy has been holding onto a thread due to this fatal pandemic. But the brighter side of this gloomy situation is that companies are finally appreciating and understanding the significance of Machine Learning and Artificial Intelligence in the practical world. More and more brands are now taking up Machine Learning solutions for their business problems. Not only Machine Learning is used to combat the global pandemic but it has also come out as an important tool in constructing a better world post-COVID. Machine Learning has the capability of providing an understanding and early analysis of problems and prompt resolutions. This technology is used by the doctors and health practitioners to track the virus, identify potential threat to patients and predict the possible cure from disease. These reasons indicate that Machine Learning and Artificial Intelligence, both are here to rule and this can be an interesting career option for the aspirants who are passionate about data and numbers. Machine Learning has been at the forefront for all the advanced programmers who intend to develop intelligent systems that learn and apply knowledge. These programmers, better known as Machine Learning (ML) engineers, train systems with the help of complex datasets and algorithms.

Machine learning brief explanation

Machine Learning is a subset of Artificial Intelligence, which combines Statistics and Computer Science to predict using different mathematical models. The predictive model can be based on like whether an image contains cat or dog, predicting credit card fraud detection etc. The main objective of Machine Learning is to take decisions based on predictive modelling. Hidden patterns across the datasets are extracted and useful insights about data are found out to drive important decisions, improve customer relationship based on feedback patterns or launch new business.

What are the pre-requisites for becoming a Machine Learning engineer?

A Machine Learning engineer requires to be proficient in a bunch of technical skills for building predictive models.

Below are given some of the primary components of the Machine Learning engineer role:

  • Data: The Machine Learning engineer has to understand the importance of data in predictive modelling. The data pre-processing is one of the important steps for constructing a Machine Learning model. Data has to be analysed and described in terms of the problem requirement. Good quality data is a necessary requirement in building efficient Machine Learning model.
  • Predictive Models: Machine Learning engineers need to construct the models designed by the data scientists, understand the model validation in order to get an essence of the estimation of value addition to the business and understand how to fine-tune these models to optimize them for the consumption by end users.
  • Software Engineering: They need to be efficient in coding back-end so that the models can be made available to users through a user-friendly API.
  • Efficient Scaling of Infrastructure: They need to keep the system prepared for scaling of infrastructure so that the system may not collapse when multiple number of users start operating their models.

Where is Machine Learning used in real life?

Machine Learning is being used in real life in many fields, industries or domains. Some of the application areas of Machine Learning are listed below:

  • Image Recognition: It is a popular and widely used application area of Machine Learning. This is used to identify an object from a digital image.

Some of the use-cases of Image Recognition:

  • Photograph-tagging in social media
  • Hand-writing recognition by segregating a single letter into component images
  • Speech Recognition: Machine Learning has the capability of translating speech into text.

Some of the use-cases of Speech Recognition:

  • Voice-based digital assistants like Amazon Alexa or Google Home etc.
  • Search based on voice
  • Dialling based on voice
  • Symptom analysis in healthcare domain: Machine Learning can help the medical practitioners to ascertain symptoms in diseases by leveraging the capability of chat bots. This is called symptom analysis which utilises the power of Natural Language Processing and text mining etc. to analyse the disease symptoms and predict the next steps to be taken as precautionary measures or remedial measures.

Primary objectives of a Machine Learning Engineer

Primary responsibilities of a Machine Learning engineer lies in creation of Machine Learning models and re-training models as and when required. Some of the common responsibilities of the role relate to:

  • Machine Learning system design
  • Implementation of Machine Learning algorithms and tools
  • Dataset selection and dataset representation methods
  • Verification of data quality
  • Accomplishing statistical analysis
  • Executing Machine Learning tests
  • Improving Machine Learning models by tuning of models by proper selection of hyper-parameters
  • Constructing Machine Learning apps as per requirement

Now, let us see the skill sets that are important for a Machine Learning Engineer.

Skill set of a Machine Learning Engineer

For becoming a Machine Learning Engineer, an aspirant should have the following skills:

  • Mathematical and statistical skills relating to subjects such as Calculus, Linear Algebra, Statistics etc.
  • Advanced degree in Computer Science, Mathematics, Statistics or a related degree
  • Master’s degree is desirable in Machine Learning, Deep Learning or related fields
  • Coding in programming languages like Python, R etc.
  • Skills pertaining to Software Engineering, Computer Architecture, Data Science and the like
  • Working experience with Machine Learning packages and libraries etc.


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