Job vacancy Machine Learning Engineer (Senior)

MACHINE LEARNING ENGINEER

COMPANY OVERVIEW
A tech company aiming to improve people’s everyday experience.

JOB RESPONSIBILITIES

• Examine signals for the anticipation of user conditions such as concentration, tension, sentiment, and other pertinent particulars.
• Forge machine learning patterns for the scrutiny of substantial data volumes from assorted origins and establish anticipatory blueprints that furnish insights into user conditions and conduct.
• Fabricate and sustain endorsement systems and well-being aides utilizing cutting-edge machine learning methodologies.
• Explore auditory stimulations for enhancing cognitive capabilities, addressing psychological concerns, and other aspects of unlocking cerebral potentials.
• Operate in close collaboration with fellow team constituents, including software developers, and product overseers, to furnish top-notch merchandise and services.
• Conspire with multifaceted teams to invent and implement algorithms and blueprints to resolve intricate predicaments.

JOB REQUIREMENTS

• Bachelor's, Master's degree, or an advanced qualification in Computer Science, Electrical Engineering, or a correlated domain
• A minimum of 3 years of involvement in fabricating machine learning blueprints and employing machine learning methodologies in the sector
• Proficient coding abilities in Python (and/or C/C++) and familiarity with profound learning frameworks like TensorFlow, PyTorch, or Keras
• Potent aptitude for analysis and complication resolution
• Effective interaction and cooperation proficiencies

BENEFITS

• Prospect to acquire knowledge and advance, opportunity to align with a promising enterprise.
• Transparent protocol for evaluating performance, recognition, and career advancement.
• Complete salary throughout the trial phase.
• Complimentary midday meal at the workplace, gratis motorbike storage.
• Compensated time off: 12 days per year.
• Team bonding, joyful lunches, convivial hours, and numerous captivating cultural events.
• Wellness provisions: Yearly health assessment; State welfare coverage; Medical insurance.

Apply online or feel free to contact me directly for more information about this opportunity. Due to the high volume of applicants, we regret to inform that only shortlisted candidates will be notified. Thank you for your understanding.

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23 Aug, 2024 (112 days left)