Remote Generative AI Engineer

Description:

• Mactores is seeking a highly skilled and innovative Generative AI Engineer to join their team in Mumbai, MH.
• The role involves developing and deploying cutting-edge generative AI models to solve real-world problems.
• Responsibilities include designing, developing, and training generative models such as GANs, VAEs, and Transformer-based models for various use cases including image, text, and speech generation.
• The engineer will fine-tune large pre-trained models to specific domains and tasks.
• Research and implementation of state-of-the-art techniques for improving model accuracy, efficiency, and scalability are required.
• The role involves working with large-scale datasets, including data cleaning, annotation, augmentation, and preparation for model training.
• Collaboration with Data Engineering teams is essential to ensure proper data pipelines and infrastructure are in place.
• The engineer will develop and deploy generative AI models into production systems and optimize them for inference speed, accuracy, and efficiency in cloud or edge environments.
• Ensuring models are scalable, reliable, and maintainable is a key responsibility.
• Staying up-to-date with the latest advancements in generative AI and related fields is expected.
• Participation in AI research projects, publishing papers, or contributing to open-source communities is encouraged.
• The engineer will innovate and prototype new applications for generative AI and work closely with software engineers, product managers, and domain experts to integrate AI solutions into existing systems and workflows.
• Translating technical concepts to non-technical stakeholders is also part of the role.

Requirements:

• A Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field is required; a PhD is preferred.
• A minimum of 3 years of experience working with deep learning frameworks such as TensorFlow or PyTorch is necessary.
• A strong background in machine learning algorithms, specifically generative models like GANs, VAEs, and transformers, is essential.
• Proficiency in Python is required, and experience with other programming languages like Java or C++ is a plus.
• Experience with cloud platforms such as AWS, GCP, or Azure and deploying AI models in production is necessary.
• Knowledge about LLMs like Claude, Mistral, and their variations, especially text-based models like GPT, BERT, and T5, is required.
• A strong understanding of hyperparameter tuning methods and experience applying transfer learning to optimize model performance and efficiency is essential.
• A solid understanding of deep learning techniques, neural networks, and generative adversarial models is required.
• Strong analytical, problem-solving, and debugging skills are necessary.

Benefits:

• Mactores offers a culture that emphasizes decision-making, leadership, collaboration, and curiosity, which drives how employees work.
• The recruitment process includes a structured three-stage assessment to ensure a good fit for the role.
• The company is committed to providing equal opportunities in all employment practices, ensuring a non-discriminatory work environment.
• Employees are encouraged to participate in AI research projects and contribute to open-source communities, fostering professional growth.
• The work culture promotes continuous learning and innovation, allowing employees to stay at the forefront of technology advancements.