Top Machine Learning Jobs to Apply This October Weekend





Artificial intelligence is increasingly becoming the core of our daily lives. Everything from the way we travel to places to job applications or interact with clients is powered by technology. While artificial intelligence is widely used to address the general developments in digitization, machine learning plays a huge role in it. Recently, the dominance of machine learning has invaded every space where artificial intelligence prevails. It has completely changed the way companies operate. For example, machine learning models help companies make data-driven decisions. The need for more trends and findings has opened the door for many machine learning jobs. Many large companies are looking for skilled professionals for machine learning jobs. Analytics Insight has listed the top machine learning jobs that aspirants and professionals should apply for this weekend.

Top Machine Learning Jobs to Apply

GCP AI & Machine Learning Manager at PwC

Location(s): Bengaluru

Roles and responsibilities: PwC is urgently looking for a GCI AI & Machine Learning Manager who can handle both the technical and business aspects of the company.

Qualifications:

  • The candidate is required to have at least a bachelor’s degree in an engineering science. They must also hold a certificate in Google Cloud Certifications (Machine Learning Engineer is preferred).
  • He/she must have a background in data science with expert level skills in Python and SQL.
  • They must have a minimum of 2 years of experience designing and developing scalable and highly available machine learning systems.
  • In addition, the candidate must also have 2 years previous experience in designing and developing large-scale machine learning systems using GCP services such as Datalab, Dataprep, AI platform, AI infrastructure, AutoML, COMputer Engine, BigQuery, DataFlow, Cloud Data Fusion, Cloud SQL, Cloud Storage and an understanding of how to use Google AI services such as Speech-to-text, Text-to-speech, vision, video and natural language in the cloud.
  • He/she must have practical experience with frameworks such as TensorFlow, Keras, Pytorch, Scikit Learn and KubeFlow.

Apply here for the job.

Data Engineer: Machine Learning at IBM

Location(s): Bengaluru

Roles and responsibilities: As a data engineer: machine learning at IBM, the candidate will help turn customer data into tangible business value by analyzing information, communicating results, and collaborating on product development. They should be responsible for data expertise to manipulate and integrate big data and different data types such as videos, images, documents and other structured data-based Python data processing skills. He/she has to define problems and opportunities in a complex business area. The candidate must extract data from multiple sources and integrate it for analysis and application development.

Qualifications:

  • The candidate is expected to have a minimum of 4 years experience with machine learning.
  • He/she must be an expert in data interpretation and visualization skills.
  • They should have experience with AWS cloud services such as AWS-Sagemaker, EC2, and RDS.
  • The candidate must have a solid knowledge of feature extraction, feature selection techniques and transfer learning.
  • They should also have a working knowledge of building deep learning NLP text classification models.

Apply here for the job.

Machine Learning Kernel Developer at Qualcomm Technologies

Location(s): Bengaluru

Roles and responsibilities: Qualcomm Technologies expects the machine learning kernel developer to research, design, develop, improve and deploy various components of the machine learning accelerator based on performance and code size according to the needs of the customer’s workloads and benchmarks. The candidate must also implement machine learning operators for Qualcomm SOCs.

Qualifications:

  • The candidate must have a bachelor’s degree in engineering, information systems, computer science or a related field.
  • They must have a minimum of eight years of systems engineering or related work experience.
  • He/she should have practical experience writing SIMD and/or multi-threaded high-performance code.
  • Experience implementing a machine learning operator for an accelerator is a plus.
  • The candidate must have practical experience in C and Python development.
  • Experience with source code and configuration management tools, git knowledge is required.

Apply here for the job.

Machine Learning & Automation Expert at Genpact

Location(s): Gurgaon, Bengaluru

Roles and responsibilities: As a machine learning and automation expert at Genpact, the candidate will be expected to translate the client’s business need into a techno-analytical problem and work approximately with the statistical and technology specialist to put large-scale analytical solutions to the test. He/she should participate in automation assessments, predictive analytics capabilities, and engagements. They should actively collaborate with other team members and develop solutions in AI/ML and BI areas to combine solutions to a business problem. The candidate must understand how automation can help the business need and develop it independently as required using Python.

Qualifications:

  • The candidate must be proficient in Python and must have experience with predictive modeling.
  • They must be directly involved in working with large amounts of data and building, implementing and measuring predictive analytics models.
  • He/she must understand the frameworks of Flask and Django.
  • They should be well versed in deep learning frameworks such as TensorFlow, Keras, Torch, Theano, etc.
  • The candidate must have experience with Cloud AWS or Azure.
  • BE/MCA/BSc in Mathematics, Computer Science, Information Systems or Computer Engineering, Systems Engineering with relevant experience in Machine Learning, Predictive Analytics or Automation is required.
  • Exposure to machine learning and quantitative methods is a must.

Apply here for the job.

Machine Learning Data Science Practitioner at Accenture

Location(s): Bengaluru

Roles and responsibilities: As a machine learning data science practitioner at Accenture, the candidate must manage, design, and analyze big data to build data-driven insights and impactful data models. They need to create a value chain to address the challenges of data collection, value evaluation, distillation and analysis, etc. He/she should also be involved in other processes such as tracking multiple models in experiments for audit purposes, collaborating with data scientists for hyperparameter tuning and feature maintenance, and modeling management in modern version control for working with infrastructure team, data scientists and business teams .

Qualifications:

  • The candidate must have a minimum of 6-8 years of experience with a machine learning background.
  • He/she must be a technical expert in creating CI/CD pipelines for machine learning algorithms, training and prediction pipelines, etc.
  • They must be a graduate of B.Tech, BE, PG or a degree in data science from a leading institution.
  • The candidate has at least one year of experience working with Python and SQL.
  • They should have a good understanding of AWS Sagemaker experiments.

Apply here for the job.

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