Job
Description
Company Description Monk Outsourcing is a digital marketing service provider company based in Delhi, India. We offer staffing solutions for US-based companies, software development, web development, content management solutions, and creative design services. Our team of experts works with modern technologies and tools to deliver web-based projects from concept to implementation. We are looking for a talented AI/ML Engineer to join our dynamic team and contribute to our exciting projects involving large language models (LLMs). *Job Overview:* 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. • 3-5 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. *Preferred Qualifications:* • 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. Show more Show less
