Senior/Principal Machine Learning Engineer

Job Description

We are looking for a skilled Senior/Principal Software Engineer (Machine Learning) with 3-7 years of experience to join our innovative team. The ideal candidate will bring a solid foundation in machine learning, data processing, and model development. In this role, you will be responsible for designing, implementing, and optimizing advanced machine learning pipelines, leveraging cutting-edge tools and technologies to tackle complex, real-world challenges.

Responsibilities And Skillset

• Develop and implement end-to-end pipelines for data processing, model building, training, and optimization.
• Deploy ML services & LLM-based services on cloud platforms, ensuring scalability & efficiency.
• Work with machine learning frameworks such as PyTorch, TensorFlow, Keras, Pandas, Scikit-Learn, Numpy, Langchain, and Hugging-Face.
• Apply strong programming skills in Python to build and optimize machine learning models.
• Collaborate with cross-functional teams to integrate ML solutions into products.
• Troubleshoot and resolve complex issues related to machine learning models and processes.
  
  

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
• 3-7 years of experience in ML engineering or related roles.
• Proven experience in building and deploying machine learning models and implementing end-to-end pipelines.
• Proficiency in Python (MUST) with a focus on problem-solving.
  
  

Good To Have

• Familiarity with cloud platforms and expertise in deploying ML services & LLM-based services.
• Experience with version control systems such as Git.
• Knowledge of backend frameworks like Flask or Django for API development.
• Familiar with LLMs, Deep Learning Techniques & ML algorithms.
  
  

Join us and contribute to the future of AI by building state-of-the-art machine learning solutions!