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Machine Learning Engineer II - Generative AI
Machine Learning Engineer II - Generative AINISSAN RENAULT FINANCIAL SERVICES INDIA PRIVATE LI MITED • Trivandrum
Machine Learning Engineer II - Generative AI

Machine Learning Engineer II - Generative AI

NISSAN RENAULT FINANCIAL SERVICES INDIA PRIVATE LI MITED • Trivandrum
17 days ago
Job description

Responsibilities :

  • Assist in developing, training, and optimizing machine learning models for various applications.
  • Work with large datasets, performing data preprocessing, feature engineering, and model evaluation.
  • Collaborate with data scientists and software engineers to integrate ML models into production environments.
  • Conduct experiments to improve model accuracy and efficiency.
  • Write clean, efficient, and well-documented code for ML model development.
  • Stay updated with the latest advancements in ML algorithms and technologies.

Key Competencies :

  • Strong analytical and problem-solving skills.
  • Ability to understand and implement ML algorithms effectively.
  • Good communication skills to collaborate with cross-functional teams.
  • Attention to detail and a structured approach to work.
  • GenAI : Curiosity and experimentation with LLMs & GenAI tools (e., ChatGPT, Gemini) and prompt tuning.
  • MLOps : Learning foundations of model deployment, version control, and experiment tracking.
  • Relevant Work Exp : 2-5 years.

    Technical Skills :

  • Proficiency in Python, TensorFlow, PyTorch, or Scikit-learn.
  • Experience with data manipulation using Pandas and NumPy.
  • Familiarity with cloud platforms like AWS, Azure, or GCP for ML model deployment.
  • Knowledge of SQL and database management.
  • Understanding of software development best practices (Git, Docker, CI / CD).
  • Behavioral Competencies :

  • Adaptability : Open to learning and applying new ML techniques, tools, and frameworks.
  • Learning Agility : Willingness to experiment, analyze failures, and continuously improve skills.
  • Teamwork : Works collaboratively with peers, takes feedback constructively, and contributes to team success.
  • Certifications (Optional) :

  • TensorFlow Developer Certification.
  • AWS Certified Machine Learning Specialty.
  • Microsoft Certified : Azure AI Engineer Associate.
  • Google Professional Machine Learning Engineer.
  • (ref : hirist.tech)

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