Responsibilities:

  • Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive analysis models.
  • Transforming data science prototypes and applying appropriate ML algorithms and tools.
  • Ensuring that algorithms generate accurate user recommendations.
  • Designing algorithms to compute real-time text & speech data, with relevant results.
  • Training models on various datasets.
  • Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
  • Developing ML algorithms to analyze huge volumes of historical data to make predictions.
  • Running tests, performing statistical analysis, and interpreting test results.

Requirements:

  • Bachelor's degree in computer science or a related field.
  • Master’s degree in computational linguistics, data analytics, data science or similar will be advantageous.
  • At least two-three years' experience as a machine learning engineer.
  • Advanced proficiency with Python, Java, and R code writing.
  • Familiarity with Linux.
  • Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
  • In-depth knowledge of mathematics, statistics, and algorithms.
  • Superb analytical and problem-solving abilities.

工作详细内容

全部职位:
1 发布
工作时间:
早班
工作类型:
工作地址:
P.E.C.H.S, 卡拉奇, 巴基斯坦
性别:
没有偏好
最低学历:
学士
职位等级:
资深专业人员
经验:
2年 - 4年
在之前申请:
Feb 27, 2023
发布日期:
Jan 26, 2023
Diversity Inclusion:
We value diversity of our employees. All qualified applicants will receive fair consideration without regard to genders or socio-economic backgrounds.

Work Environment

Supervisor’s gender:
Male
Percentage of female coworkers:
30-39%

Businesses need to efficiently manage information so that the organization can make effective and informed decisions based upon solid data and analysis. At Inseyab, we’ve coupled our experience & best practices to orchestrate the delivery of services for our clients in a detailed, meticulous methodology known as the Inseyab Data Discovery Methodology (DDM™). This proprietary methodology and many years of BI/DW solution delivery experience is put to work for our customers to provide end-to-end services, from strategy and planning to tool selection and implementation. Inseyab’s Business Intelligence consulting team is experienced in helping companies analyze their business data strategies and environment to gain accurate historical, current, and predictive views of their business operations. Our solutions incorporate Business Intelligence best practices and leverage clients’ existing investments in various tools.

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