Machine Learning Engineer

3 weeks ago


Mumbai, India Avencore Tech consultant private limited Full time
Job Title: Machine Learning Engineer

We are seeking a highly skilled Machine Learning Engineer to join our team at Avencore Tech Consultant Private Limited. The ideal candidate will have a strong background in machine learning, artificial intelligence, and software engineering.

Key Responsibilities:
  • Design, develop, and implement ML/AI models and algorithms for various applications.
  • Optimize and deploy large model inference pipelines to ensure high performance and scalability.
  • Work on improving the efficiency and accuracy of large-scale inference tasks.
  • Develop and fine-tune large language models (LLMs) for diverse use cases.
  • Collaborate with cross-functional teams to integrate ML/AI solutions into existing products and services.
  • Stay up-to-date with the latest advancements in machine learning and artificial intelligence.
  • Participate in code reviews, testing, and debugging to ensure high-quality software.
  • Document and communicate technical concepts and solutions effectively.
Requirements:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Proven experience with large language models (LLMs) and natural language processing (NLP).
  • Proven experience working on OCR projects and improving text recognition systems.
  • Hands-on experience with large language models (LLMs) and natural language processing (NLP).
  • Expertise in developing and optimizing large model inference pipelines.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Mistral, Meditron, Hugging Face).
  • Strong problem-solving skills and the ability to work independently and in a team.
  • Excellent communication skills and attention to detail.
Preferred Qualifications:
  • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and deploying ML models in production environments.
  • Familiarity with data engineering and data pre-processing techniques.
  • Knowledge of computer vision and image processing.


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