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Technical Team Member – Distributed Data Science & Machine Learning Locations : (1) Columbia, MD, USA, (2) Berkeley, CA, USA.
 (3) Kolkata, India, (4) Remote (partial / full).

Technical Team Member – Distributed Data Science & Machine Learning Locations : (1) Columbia, MD, USA, (2) Berkeley, CA, USA. (3) Kolkata, India, (4) Remote (partial / full).

Agnikkolkata, India
21 hours ago
Job type
  • Remote
Job description

Responsibilities

As an employee of Agnik’s Distributed Data Science & Machine Learning Technical team Member, the primary focus of this position would be to design, develop, and implement novel data analysis and machine learning algorithms for connected car and mobility applications. Successful candidates must be knowledgeable and passionate about latest developments in field of machine learning and data science, should be a hands on developer. The position does not require extensive travel.

Duties Include

  • Develop real-time and off-line data analysis and machine learning algorithms / systems for embedded systems, mobile platforms, and cloud-based distributed environments.
  • Dealing with big data management problems in real-time applications.
  • Writing and reviewing code using Java / C# / C language for embedded and in-cloud environments for predictive modeling, control, and scene analysis.
  • Developing geo-spatial data management and analysis software.

Required Qualifications

  • B.Tech / BS / M.Tech / MS / PhD. from a reputed University in Computer Science, Electrical / Electronic engineering (or other engineering / Science) with relevant experience.
  • 1 – 5 years of experience in building data analysis, signal processing, and machine learning applications using Java / C / Python language, web-services in dot net environment, relational / non-relational databases, and developing distributed systems.
  • Ability to communicate in fluent English. Effective communications skills and strong interpersonal skills, both orally and in written form.
  • Distributed data management environments such as Hadoop and Spark.
  • Ability to juggle multiple projects simultaneously.
  • Attention to details, ability to prioritize and meet aggressive deadlines.
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