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महाराष्ट्र
कर्नाटक
Bengaluru
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तमिलनाडु
Gurugram District
Gandhidham
Ernad
असम
Noida
बेंगालुरू
Karthikappally

Data Scientist

Fulcrum Digital
Coimbatore South, तमिलनाडु
अनुबंध
22 घंटे पहले

Who are we
Fulcrum Digital is an agile and next-generation digital accelerating company providing digital transformation and technology services right from ideation to implementation. These services have applicability across a variety of industries, including banking & financial services, insurance, retail, higher education, food, healthcare, and manufacturing.

The objective of the Role:

  • Run the production environment by monitoring availability and maintaining a holistic view of system health.
  •  
Develop software and systems to manage platform infrastructure and applications.
  • Improve reliability, quality, and time-to-market of our suite of software solutions.
  •  Measure and optimize system performance, aiming to push capabilities forward, anticipate customer needs, and drive continual innovation.
  •  Provide primary operational support and engineering for multiple large-scale distributed software applications.
  • Responsibilities:
    • Gather and analyze metrics from both operating systems and applications to assist in performance tuning and fault finding.
    • Partner with development teams to enhance services through rigorous testing and release procedures.
    • Participate in system design consulting, manage platforms, and execute capacity planning.
    • Create sustainable systems and services through automation and strategic uplifts.
    • Balance feature development speed and reliability with well-defined service-level objectives.


    Requirements

    • Proficiency in Python/R, Hadoop, Spark, MySQL; skilled in documentation for reproducibility.
    • Experienced in anomaly detection, machine learning, time-series data, NLP, and various ML tools.
    • Hands-on experience with ETL and dashboarding tools like Domo, Alteryx; knowledgeable in ITSM tools like BMC Remedy.
    • Experienced in Linux data management, JupyterHub, R applications, data science workbench, AI/ML platforms including Kubernetes; CHEF knowledge is beneficial.
    • Expertise in managing data on edge nodes.
    • Knowledge of Airflow is highly valuable for platform automation and process workflows.


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