Top Machine Learning Jobs to Apply this October Weekend – Analytics Insight

Artificial intelligence is increasingly becoming the core of our everyday. Everything starting from the way we travel to places to applying for jobs or communicating with clients is powered by technology. While artificial intelligence is broadly used to address the general developments in digitization, machine learning plays a massive role in it. Recently, the dominance of machine learning has invaded every space that artificial intelligence prevails. It has completely changed the way businesses operate. For example, machine learning models are helping companies make data-driven decisions. The need for more trends and findings has opened the door to many machine learning jobs. Many big companies are seeking to recruit 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 hiring for a GCI AI & Machine Learning- Manager who can handle both technical and business aspects of the company.

Qualifications:

  • The candidate is mandated to at least have a degree in Bachelors in any Engineering. They should also hold a certificate in Google Cloud Certifications (Machine Learning Engineer is preferred).
  • He/she should have a background in data science with expert-level skills in Python and SQL.
  • They should have a minimum of 2-years of experience in the design, development of scalable and highly available machine learning systems.
  • Besides, the candidate should also have 2-years prior experience in the design and development of large scale machine learning systems using GCP services like Datalab, Dataprep, AI platform, AI infrastructure, AutoML, COmputer Engine, BigQuery, DataFlow, Cloud Data Fusion, Cloud SQL, Cloud Storage, and a good understanding of using Google AI services like speech-to-text, text-to-speech, vision, video, and cloud natural language.
  • He/she should have hands-on experience on frameworks like TensorFlow, Keras, Pytorch, Scikit Learn, and KubeFlow.

Apply for the job here.

Data Engineer: Machine Learning at IBM

Location(s): Bengaluru

Roles and Responsibilities: As a data engineer: machine learning at IBM, the candidate will help transform client data into tangible business value by analyzing information, communicating outcomes, 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 skills for data handling. He/she should define problems and opportunities in a complex business area. The candidate should extract data from multiple sources and integrate it for analytics and application development.

Qualifications:

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

Apply for the job here.

Machine Learning Kernel Developer at Qualcomm Technologies

Location(s): Bengaluru

Roles and Responsibilities: Qualcomm Technologies expect the machine learning kernel developer to research, design, develop, enhance, and implement different components of machine learning accelerator based on performance and code size as per the needs of the customer workloads and benchmarks. The candidate should also implement machine learning operators for Qualcomm SOCs.

Qualifications:

  • The candidate should have a Bachelor’s degree in Engineering, Information Systems, Computer Science, or a related field.
  • They should have at least eight years of system engineering or related work experience.
  • He/she should have hands-on experience writing SIMD and/or multi-threaded high-performance code.
  • Experience in implementing a machine learning operator for an accelerator is a plus.
  • The candidate should have hands-on experience in C and Python development.
  • Experience with Source Code and COnfiguration management tools, git knowledge is required.

Apply for the job here.

Machine Learning & Automation Expert at Genpact

Location(s): Gurgaon, Bengaluru

Roles and Responsibilities: As a machine learning and automation expert at Genpact, the candidate is expected to translate the customer business need into a techno-analytic problem and approximately work with the statistical and technology specialist to bring large-scale analytic solutions to friction. He/she should participate in assessments of automation, predictive analytics opportunities, and engagements. They should actively collaborate with other team members and develop solutions in AI/ML, BI areas to stitch solutions for a business problem. The candidate should understand how automation can help the business need and develop it independently as required using Python.

Qualifications:

  • The candidate is mandated to be proficient in Python and should have predictive modeling experience.
  • They should have direct involvement in working with large volumes of data and building, deploying, and measuring predictive analytics models.
  • He/she should understand Flask, Django frameworks.
  • They should be well versed in deep learning frameworks such as TensorFlow, Keras, Torch, Theano, etc.
  • The candidate should have experience in 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 for the job here.

Machine Learning Data Science Practitioner at Accenture

Location(s): Bengaluru

Roles and Responsibilities: As a machine learning data science practitioner at Accenture, the candidate should manage, architect, and analyze big data in order to build data-driven insights and high-impact data models. They should create a value chain to help address the challenges of acquiring data, evaluating its value, distilling and analyzing, etc. He/she should also engage in other processes like tracking multiple models in experiments for auditing purposes, collaborating with data scientists for hyperparameter tuning and features maintenance, and modeling management in modern versioning for work with infra team, data scientists, and business teams.

Qualifications:

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

Apply for the job here.

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