With a 344% growth rate, top machine learning jobs are ranked #1 in the US top jobs list

Before scientists introduced artificial intelligence technologies to us, sci-fi movies did. Famous Hollywood films like 2001: A Space Odyssey portrayed machines and technology without a clear vision of what was approaching in the future. Somehow, whatever they showed in the movie, turned out to be a reality today. Artificial intelligence is a broad subject today. It is accelerating every industry by unleashing new developments, applications, and solutions constantly. One of the subsets of AI called 'machine learning,' is advancing the capabilities of technology using mathematics and software programming. So far, machine learning is greatly admired in the business sector for its prominence and benefits. Companies that routinely engage with customers, employ machine learning professionals to streamline repetitive works. For example, the Netflix recommendation system, Facebook's suggestions, and traffic alerts on Google are powered by machine learning technology. Owing to the increasing usage, the demand for top machine learning jobs has also gone up. According to a job website, machine learning jobs are ranked #1 among the top jobs in the US, citing a 344% growth rate and an average salary of US$1,40,000 per year. Unfortunately, landing in a machine learning job is not easy. It requires special skills in programming and system design, along with other basics. Analytics Insight has listed the top machine learning jobs that you should apply this weekend to gear up your career.

Top Machine Learning Jobs to Apply

Machine Learning & Automation Expert- Data Science at Genpact

Location(s): Gurgaon, Bengaluru

Roles and Responsibilities: As a machine learning & automation expert- data science at Genpact, the candidate is expected to focus on three main areas of the company namely consultant, solutioning, and pre-sales. He/she should translate the customers' business needs into a techno-analytic problem and appropriately work with the statistical and technology to bring large-scale analytic solutions to fruition. They should also participate in assessments of automation, predictive analytics opportunities, and engagements. The candidate is expected to actively collaborate with other team members and develop solutions in AI, ML, and BI areas to stitch solutions for business problems.

Qualifications:

• BE/MCA/BSc in statistical streams like mathematics, computer science, information systems, system engineering, or computer engineering is mandatory.
• The candidate should also have work experience in machine learning, predictive analytics, or automation.
• Pre-existing knowledge in machine learning and quantitative methods is a must.
• They should be proficient in python and have prior predictive modeling experience.
• The candidate should have a great understanding of Flask and Django frameworks.

Apply here for the job.

Data Engineer: Machine Learning at IBM

Location(s): Bengaluru

Roles and Responsibilities: IBM expects the Data Engineer: Machine Learning to help transform the company's clients' data into tangible business value by analyzing information, communicating outcomes, and collaborating on product development. The candidate should know data expertise to manipulate and integrate big data and different data types such as videos, images, documents, and other structured data based. He/she should define problems and opportunities in a complex business area. They should define problems and opportunities in a complex business area and develop suitable advanced analytics products.

Qualifications:

• The candidate should have at least 4 years of experience in machine learning.
• He/she should also be an expert in data interpretation and visualization skills.
• Besides, they should also have experience with AWS cloud services, AWS-Sagemaker, EC2, and RDS.
• The candidate should have a working knowledge of building deep learning NLP models for text classification.

Apply here for the job.

Machine Learning Compiler at Qualcomm Technologies

Location(s): Bengaluru

Roles and Responsibilities: As a machine learning compiler at Qualcomm Technologies, the candidate should research, develop, design, enhance, and implement the different components of machine learning-based performance and code-size needs of the customer workloads and benchmarks. He/she should analyze software requirements, determine the feasibility of design within the given constraints, consult with architecture, and HW engineers, and implement software solutions best suited for Qualcomm's SOCs. They should also analyze and identify system-level integration issues, interface with the software development, integration, and test teams.

Qualifications:

• The candidate should have a Bachelor's degree in engineering, information systems, computer science, or related fields.
• He/she is mandated to have at least 3 years of work experience in system engineering or relative fields.
• Hands-on experience with writing SIMD and/or multi-threaded high-performance code is preferred.
• Candidates with 3+ years of experience in C and Python development will be given preference.

Apply here for the job.

Machine Learning Engineer at Intel

Location(s): Bengaluru

Roles and Responsibilities: The machine learning engineer at Intel is expected to perform profiling of various algorithms and platforms using simulation or platform systems for various internal and external XPUs and architectures. He/she should be good at performance and functional model development in Python, System Influence IP architecture development through profiling and modeling results. They should constantly perform validation of the performance of pre-silicon, FPGA, and Silicon.

Qualifications:

• The candidate is mandated to have M.Tech degree in electronics and telecommunication.
• He/she should also have at least 12 years of prior experience in relative fields.

Apply here for the job.

Senior Machine Learning Engineer at Microsoft

Location(s): Bengaluru

Roles and Responsibilities: By joining as a Senior Machine Learning Engineer at Microsoft, the candidate will become a part of an interactive and fast-paced environment where they can drive impact, innovation, and apply state-of-the-art techniques to solve problems on a global scale. He/she should work closely with engineering, product management, analytics and transformation, and data science teams from across MCDS to deliver outstanding value to stakeholders and the company's products. They should build and enhance the frameworks and tools that Microsoft uses in its MLOps platforms. The candidate should build out services for impact assessment, back-testing, model performance monitoring, data drift, model drift, concept drift, explainability, experimentation, performance testing, reproducibility check, etc.

Qualifications:

• The candidate should have 10+ years of work experience in relative fields.
• He/she should have strong system engineering knowledge, especially on ML/Data Science concepts on the job.
• They should have knowledge of classification, prediction, recommender systems, time series forecasting, anomaly detection, optimization, graph theories, and NLP.
• Knowledge of one of the deep learning frameworks is mandatory.

Apply here for the job.