In-Demand Recruitments: Top AI Jobs to Apply For this Week

In-Demand Recruitments: Top AI Jobs to Apply For this Week
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To contemplate the high demand, aspirants should upskill themselves for AI jobs to apply

In the 1950s, when researchers came out with the first artificial intelligence model, many felt that the technology has jumped out of fantasy movies. But to their surprise, artificial intelligence evolved beyond anybody's expectations. In 2021, the technology is powering numerous machine tasks by imitating people and their brain functionalities. Artificial intelligence has turned niche concepts into a standard software engineering and designing toolbox and has unleashed a storm in most IT companies such as Google, Facebook, Linked In, Twitter, etc. Owing to the rise in technology adoption, the demand for AI jobs is also surging like never before. A Forbes report suggests that AI jobs to apply has seen a 74% year-to-year growth for a long time. Since technology is in extreme need in various industries including healthcare, education, agriculture, telecommunication, logistics, and many others, the opportunities for AI professionals are never dying. But in order to contemplate the high demand, aspirants who would like to apply for top AI jobs should upskill themselves. In this article, Analytics Insight has listed top AI jobs to apply for, especially for AI professionals who are opting for a work change.

Top AI jobs to apply this week

Data Scientist: Artificial Intelligence at IBM

Location: Bengaluru, India

About the company: International Business Machines Corp, also known as IBM, is an information technology company that provides integrated solutions to leverage IT and knowledge of business processes. IBM operates through diverse segments including cloud and cognitive software, global business services, global technology services, etc.

Roles and Responsibilities: As a data scientist at IBM, the candidate is expected to transform the company's clients' data into tangible business value by analyzing information, communication outcomes, and collaborating on product development. They should develop, maintain, evaluate, and test big data solutions. He/she is also responsible for designing algorithms and implementation including loading from disparate datasets, pre-processing using Hive and Pig. They should have the ability to design solutions independently based on high-level architecture.

Qualifications:

  • The candidate should have at least 4 to 6 years of experience in the IT industry.
  • He/she should be well-versed in technology expertises like Hadoop, Hive, Spark, SQL, OOzie, along with data modeling in Hive.
  • They should have hands-on experience in programming languages such as Java, Python, Scala.
  • The candidate should have the ability t demonstrate micro or macro designing and be familiar with Unix Commands and basic work experience in Unix Shell Scripting.
  • He/she should have prior work experience on big data architectures like Lambda, Kappa with the usage of automation, scheduling tools like Oozie, or Chronicle.
  • They should have proven ability in solutions covering data ingestion, data cleansing, ETL, data mart creation, and exposing data for consumers.

Apply here for the job.

Data Scientist at Walmart

Location: Bengaluru, India

About the company: Walmart India is a wing of its parent company Walmart. Walmart India owns and operates 29 best price modern wholesale stores offering nearly 5,000 items in cash and carry format. The company offers unmatched convenience, choice, quality, and hygiene.

Roles and responsibilities: The position is solely based on building data science models that could accelerate Walmart's online advertising strategy. Therefore, the company keeps away the big requirements and demands the candidate to be skilled at building data science models, which will support its online ads.

Qualifications: 

  • The candidate is expected to be skilled in data science tasks like modeling the program, training using ML algorithms, knowledge of statistics, probability theory, and Linear Algebra.
  • Any graduate degree or postgraduate degree is accepted.
  • They should have hands-on experience in deep learning, Spark-based ML.

Apply here for the job.

Artificial Intelligence Engineer at Wipro

Location: London, United Kingdom

About the company: Wipro Limited is a leading global information technology, consulting, and business process service company. Wipro is recognized globally for its comprehensive portfolio of services, practitioners' approach to delivering innovation.

Roles and responsibilities: As a Senior Artificial Intelligence Engineer, the candidate is expected to be good at all the areas that Wipro is working on including cognitive computing, hyper-automation, robotics, cloud, analytics, and emerging technology that helps its clients adapt to the digital world and make them successful.

Qualifications: 

  • The candidate should have a Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or any other quantitative field with 7-10 years of industry experience in ML/AI engineering posts.
  • They should have hands-on experience in AI/ML work in a cloud environment.
  • He/she should be able to build ETL and ELT pipelines in a cloud environment using tools like Azure Data Factory and Data Pipeline.
  • The candidate should have experience in using data bricks and working knowledge of the Spark eco-system.
  • They should have a good understanding of data science concepts.
  • He/she should have strong programming skills in Python and PySpark.
  • They should have experience in building supervised, unsupervised, and one-class traditional ML models and deep learning models using packages and frameworks like sci-kit-learn, H2O, TensorFlow/Keras, PyTorch, and MLlib.

Apply here for the job.

Senior Data Engineer at Insight Inc

Location: New York City Metropolitan Area

About the company: Insight Inc offers information technology hardware, software, and services to large enterprises, small to medium-sized businesses, and public sector institutions in North America, Europe, the Middle East, Africa, and Asia-pacific.

Roles and responsibilities: Insider Inc is looking for a candidate who will be responsible for developing and implementing improvements to existing products, extending and refactoring the company's pipelines for data workflows. They should also work with data science and analytics teams to make the business work better and faster. The candidate should collaborate with analysts and product owners to understand data needs and scope out the technical requirement for data products. He/she should design and implement cloud-based data architecture, and support feature enhancements to the data warehouse.

Qualifications: 

  • The candidate is expected to have hands-on experience in Python and SQL.
  • They should have professional experience in building data products.
  • He/she should have the ability to communicate clearly with both business and technical audiences.
  • The candidate should have prior skills in translating data needs into deliverables to meet business goals.
  • He/she should be self-directed, supremely curious, and detail-oriented.

Apply here for the job.

Algorithm Engineer (Machine Learning) at ADVANCE.AI

Location: Singapore

About the company: ADVANCE.AI is a financial technology company that helps users to address problems such as credit evaluation, anti-fraud, and risk control. The company does this by embracing artificial intelligence and big data.

Roles and responsibilities: As an Algorithm Engineer, the company expects the candidate to join its artificial intelligence team to take part in tackling real-world problems of ADVANCE.AI. They should work alongside world-class talents and join the company in using sophisticated data and analytics to make a change in the world. He/she should engage in researching and developing machine learning algorithms for fraud detection, credit evaluation, business growth, etc.

Qualifications: 

  • The candidate should have a good understanding and experience in machine learning models and data analysis.
  • They should have knowledge in writing production-quality code, preferably industry engineering experience with machine learning projects.
  • He/she should have programming skills preferably in Python, Spark, Java, or C++.
  • The candidate should have hands-on experience in machine learning algorithm implementation and data modeling.

Apply here for the job.

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