CodeNinja

Senior Machine Learning Engineer

10 October 2024
Apply Now
Deadline date:
£68000 - £126000 / year

Job Description

Position Overview: We are seeking a talented and experienced Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in developing code and programming languages, with a focus on implementing deep learning algorithms. This role will involve working on cutting-edge projects and collaborating with cross-functional teams to drive innovation and deliver impactful solutions.

Key Responsibilities:

    • Engage with clients to understand their business challenges and identify AI-driven solutions.
    • Design, develop, and deploy AI models, including large language models (LLMs), computer vision, or data science-based solutions.
    • Collaborate with internal teams to prototype, develop, and implement AI solutions that align with clients’ business goals.
    • Write comprehensive proposals outlining AI strategies, technical approaches and deployment strategies.
    • Stay updated on the latest trends and advancements in AI and machine learning.

Requirements

  • Required Skills and Qualifications:
  • Proven experience in AI/ML, including working with frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Hands-on experience in designing, training, and fine-tuning AI models.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
  • Strong problem-solving skills with the ability to design AI solutions from scratch.
  • Excellent communication skills to articulate complex AI concepts and proposals to non-technical stakeholders.
  • Experience in writing detailed technical proposals and presenting AI strategies.
  • Knowledge of data preprocessing, feature engineering, and data pipelines is a plus.

Preferred Qualifications:

    • Experience in large language models (LLMs), NLP, or computer vision.
    • Experience in deploying AI solutions in production environments.
    • Bachelor’s/Master’s degree in Computer Science, AI, Machine Learning, or related field.

Benefits

  • Provident Fund
  • Gym Membership
  • Leaves as per the company policy.
  • Company-paid trips
  • Easy Loan Facility for Employees
  • Yearly increment
  • Health Insurance (includes spouse and parents) (till the age of 80)