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Mobile Engineer (Kotlin)

Mobile Engineer (Kotlin)

ENCORE IT SOLUTIONSDelhi, Delhi, India
1 day ago
Job description

Role : Mobile Engineer

Location : Remote (Open to candidates from India, Brazil, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico)

Duration : 4 Weeks | Full-time (8 hrs / day, with at least 4 hrs overlap with PST)

Start Date : Within 1 week

Key Responsibilities

  • Develop and maintain high-quality Kotlin code to support AI model training and optimization.
  • Conduct evaluations (Evals) to benchmark model performance and provide insights for improvement.
  • Evaluate and rank AI-generated responses across various domains based on predefined criteria.
  • Provide detailed rationales for evaluations, demonstrating strong reasoning and technical skills.
  • Lead Supervised Fine-Tuning (SFT) efforts by creating and managing task-specific datasets.
  • Collaborate with researchers and annotators on Reinforcement Learning with Human Feedback (RLHF) tasks.
  • Design and implement evaluation strategies to align models with user needs and ethical standards.
  • Generate and refine model responses to enhance clarity, relevance, and technical accuracy.
  • Perform peer reviews of code and documentation, offering constructive feedback.
  • Work cross-functionally to enhance model performance and contribute to product development.
  • Stay updated with and integrate new tools and methodologies to improve AI training workflows.

Required Qualifications

  • 3+ years of hands-on experience with Kotlin and Android development.
  • Strong understanding of modular development, scalable architectures, and secure coding practices.
  • Ability to clearly articulate logic and reasoning in code, preferably using platforms like Google Colab.
  • Proficiency in Kotlin syntax and conventions.
  • Familiarity with QA technologies is a plus.
  • Excellent verbal and written communication skills in English.
  • Interview Process

    1️⃣ Technical Interview (60 mins)

    2️⃣ Delivery Round / Cultural Fit Discussion (15 mins)

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