AI/ML Engineer/Manager

Job Summary:

As a Machine Learning Engineer specializing in generative AI, you will be responsible for designing, developing, and deploying advanced machine learning models that generate high-quality, human-like content. You will collaborate with cross-functional teams to integrate these models into our products, enhancing their capabilities and delivering exceptional value to our clients.

Experience:7 +Years

Skill:AI/ML,GenAI,python,NLP,LLM

Key Responsibilities:

· Develop, train, and optimize generative AI models for various applications, including text, image, and audio generation.

· Collaborate with product managers, software engineers, and data scientists to understand project requirements and deliver robust AI solutions.

· Conduct research to stay updated on the latest advancements in generative AI and apply best practices to improve model performance.

· Implement and maintain scalable machine learning pipelines for training and deploying models in production environments.

· Evaluate and fine-tune models to ensure they meet performance, accuracy, and efficiency standards.

· Perform data preprocessing, augmentation, and annotation to prepare high-quality datasets for model training.

· Troubleshoot and resolve issues related to model performance, data quality, and integration with other systems.

· Document model architecture, training processes, and performance metrics for internal and client-facing reports.

Qualifications:

· Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.

· Proven experience in developing and deploying generative AI models using frameworks such as TensorFlow, PyTorch, or similar.

· Strong programming skills in Python and proficiency with machine learning libraries and tools.

· Familiarity with natural language processing (NLP), computer vision, and other relevant AI techniques.

· Experience with cloud platforms such as AWS, Google Cloud, or Azure for model deployment and management.

· Knowledge of data preprocessing, feature engineering, and model evaluation techniques.

· Excellent problem-solving skills and the ability to work independently and as part of a team.

· Strong communication skills to effectively convey technical concepts to non-technical stakeholders.

Preferred Qualifications:

· Experience with GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other advanced generative models.

· Understanding of ethical considerations and bias mitigation in AI systems.

· Contributions to open-source projects or publications in relevant conferences/journals.

· Experience with MLOps practices and tools for continuous integration and deployment of machine learning models.

Job Type: Full-time

Pay: Up to ₹2,800,000.00 per year

Work Location: Remote