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AI Engineer/ML Engineer

2 weeks ago

Delhi NCR, India Monk Travel Tech Full time US$ 1,20,000 - US$ 2,00,000 per year

Job Description:

As an AI/ML Engineer specializing in generative AI applications, you will be responsible for developing and optimizing the entire machine learning pipeline. This includes data preprocessing, model training, fine-tuning, and deployment. You will work closely with data scientists, software engineers, and product managers to create efficient and scalable LLM models that meet our enterprise clients' needs.

Key Responsibilities:

• Design, implement, and maintain end-to-end machine learning pipelines for generative AI applications.

• Develop and fine-tune large language models (LLMs) to meet specific project requirements.

• Implement efficient data preprocessing and augmentation techniques to enhance model performance.

• Collaborate with cross-functional teams to define project requirements and deliver AI solutions that align with business objectives.

• Conduct experiments to evaluate model performance, using metrics and validation techniques to ensure high-quality results.

• Optimize model inference and deployment for scalability and efficiency in production environments.

• Stay updated with the latest advancements in AI/ML research and incorporate relevant innovations into our projects.

• Provide technical guidance and mentorship to junior team members.

Required Skills and Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.

• 1+ years of experience in machine learning, with a focus on generative AI and LLMs.

• Proficiency in programming languages such as Python, and experience with ML frameworks like TensorFlow, PyTorch, or similar.

• Strong understanding of NLP concepts, including text generation, prompting, and transformer-based architectures.

• Experience in building and deploying machine learning models in production environments.

• Knowledge of data preprocessing techniques, including text cleaning, tokenization, and augmentation.

• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes) for scalable model deployment.

• Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment.

• Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

• Experience with fine-tuning pre-trained LLMs such as GPT, BERT, or similar.

• Familiarity with MLOps practices and tools for continuous integration and deployment (CI/CD) of ML models.

• Understanding of ethical considerations and bias mitigation in AI models.

• Contributions to open-source projects or publications in AI/ML conferences/journals.

Location - Noida