These are the top most and the fastest-growing jobs in the Indian tech industry
Machine learning engineer
At the top list it is a ‘machine learning engineer’. The role of a machine learning engineer is actually much better defined than that of a data scientist.
The most important responsibilities of a machine learning engineer are roughly these:
- Running machine learning experiments using a programming language with machine learning libraries.
- Deploying machine learning solutions into production.
- Optimizing solutions for performance and scalability.
- Data enginering, i.e. ensuring a good data flow between database and backend systems.
- Implementing custom machine learning code.
- Data science, i.e. analyzing data and coming up with use cases.
The job role combines a branch of artificial intelligence to produce automated data modeling.
Application development analyst
Application Development Analyst is a general categorization of resources with technical skill sets engaged in development and implementation phases of a software.
You need to be specific about technical background and skill set you possess along with work experience (if any). Based on these factors you’d have to explore the opportunities in market.
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Going by general scenarios currently, Application Development Analyst is a middle level technical profile where you may be responsible for:
- Technical documentation
- Requirement’s technical feasibility study
- Design & implementation
- System/Software performance maintenance
- Software testing (Automated and manual)
- Enhancements implementation etc.
Back-end developer
Role of back end developer is making the communication between the website (or the user) and the server and vice versa.
Back end developer is planning database architecture, creating databases and manipulating the data. If the website uses CMS (Content Management System) he is also working with one. CMS’s such as WordPress, Joomla and Drupal are among the most popular.
Most often used technologies are PHP and MySql but there are many other newer and faster back end development stacks that are gaining on popularity.
Full stack engineer
Full Stack Developer = Front End developer + Back end developer. Full Stack Development consists of development of application in all levels and layers. Hence Full Stack development means contributing to all dimensions of software preparation. This could involve simple UX design to internal programming required for the software to work.
Data scientist
A data scientists job is to analyse data and give valuable and actionable insights.
Role of a Data Science:
The identification of data analytics problem which in turn offers great opportunities to the business
The determination of the correct data sets and variables to look into
Collection of structured and unstructured data sets from all possible sources
Separation of unstructured data, validating it to ensure accuracy and completeness
Using algorithms to mine targeted data
Analysing the information and identify patterns and trends with an inquisitive mind. Exploratory data analysis
Interpreting the data to see factual finding, creating hypothesis and trends, proving it with findings
Communicating in clear language with the leadership team so that everyone can understand the implications easily.
To become a successful data scientist to be from a technology background along with some specific skill set such as programming, coding, data management, statistics etc.
Customer success manager
Customer Success Manager Role includes following Roles in Interview Mocha Engage proactively with customers using the engagement model (based on customer segment) laid out
Understand and document customer’s business flow (for large customers) and deep understanding of use-cases
Have deep product knowledge. Ability to showcase product demo + work out solutions for business use cases using best product-fit.
Aligning with key customer stakeholders to establish a stronger customer relationship management program (stakeholder mapping)
Work with internal cross-functional teams (product, sales, pre-sales, marketing, product marketing, support etc.) to ensure customer’s issues/solutions are addressed
Work with Program Manager (Customer Success) to derive data driven insights/intelligence to run focused and result oriented customer engagement programs. Understanding of SaaS metrics and Own two key metrics (Increase Product-Adoption & Customer Retention) Responsible for the management of the post-sales relationship of a portfolio of customer accounts to foster long-term business partnerships.
Increase customer satisfaction by understanding business needs and providing additional Interview Mocha solutions and resources.
Work with customers to establish critical goals, or other key performance indicators and aid the customer in achieving their goals.
Act as an escalation point to drive problem resolutions in a timely and proactive manner.
Monitor customer health to track usage and customer satisfaction.Identify at-risk renewals and deliver on customer remediation plan.
Delivery of periodic (monthly/quarterly) Customer Success Forums (CSF) and Quarterly Business Reviews (QBRs) to review and analyze statistics, metrics, and provide recommendations.
In concert with the Sales teams, forecast retention, renewal, and status for assigned accounts. Profile of the candidate
Should have great presentation skillsShould have good command over English (written and spoken).
Organized and Self starter
Outstanding understanding skills
Should also have good working knowledge of the Internet, social media and other computer related skills.
Should be extremely creative.
Should be hardworking, sincere and willing to learn
Digital marketing specialist
Digital Marketing Manager is a responsible post where one has to manage entire Internet Marketing campaigns and branding as well in some companies.
Few of them are as below-:
Plan and execute all web, SEO/SEM, marketing database, email, social media and display advertising campaigns
Managing Entire campaigns on Social Media, SEM, SMO, Email, Video, Website and other Internet Marketing.
Measure and report performance of all digital marketing campaigns, and assess against goals (ROI and KPIs)
Brand Building, PR, Media Management and Creating a Brand Buzz across the country.
Evaluate emerging technologies. Provide thought leadership and perspective for adoption where appropriate
Drive integrated marketing campaigns through digital, social & convention channels
Online Advertising Display and Rich Media Advertising, Behavioral Targeting and Visitor personalization attributes and Ad networks.
Strategic Planning Establish goals for the team to match corporate goals, short term and long term budgets and developing business plans for the achievement of these goals.
Big data developer
Nowadays “Big Data” got big boom in IT sectors worldwide. As we all aware of about analytic’s jobs that pays a lot. Huge amount of data we generate day by day that to be managed for this purpose big data comes into the picture.
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