Generative AI Engineer

Key Skills

Aartificial intelligence, Analytical and Problem solving, Data science techniques, Deep Learning, Design, Effective communication skills, GANs, Generative AI, Machine learning techniques, PyTorch, TensorFlow

Job Description

Are you interested in solving complex business problems with the help of data and insights? You can be a key driver in transforming our business with the help of data and analytics.

In this job, you will :

As a Generative AI Engineer, you will play a crucial role in designing, developing, and implementing cutting-edge generative artificial intelligence models and systems. Your expertise will contribute to creating AI-powered solutions that generate high-quality content, images, text, audio, or other media while pushing the boundaries of creativity and innovation. You will collaborate closely with cross-functional teams to deliver AI-driven products that reshape industries and user experiences. This role requires a deep understanding of machine learning, neural networks, and generative modeling techniques.

To join us, you should have:

1. Research and Development: Stay up-to-date with the latest advancements in generative AI, deep learning, and related fields. Contribute to the research and development of novel generative models, exploring new algorithms and methodologies.
2. Model Architecture: Design and develop custom generative models tailored to specific applications. Experiment with various neural network architectures such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and more.
3. Data Processing: Prepare and preprocess datasets to be used for training generative models. Apply techniques such as data augmentation, normalization, and transformation to ensure optimal model performance.
4. Training and Optimization: Train generative models on large-scale datasets using appropriate frameworks and libraries. Optimize models for efficiency, speed, and quality of generated output.
5. Hyperparameter Tuning: Fine-tune model hyperparameters to achieve optimal performance, balancing factors such as convergence speed, stability, and output diversity.
6. Evaluation Metrics: Develop and implement metrics to evaluate the quality, diversity, and novelty of generated content. Continuously iterate on models to improve these metrics.
7. Deployment: Collaborate with software engineers to integrate generative models into production systems. Ensure scalability, reliability, and efficiency of the deployed models.
8. Collaboration: Work closely with cross-functional teams, including machine learning engineers, data scientists, designers, and product managers, to translate business requirements into generative AI solutions.
9. Documentation: Document your research, experiments, and codebase thoroughly. Create clear and concise documentation for fellow engineers and stakeholders.
10. Continuous Learning: Stay informed about industry trends and emerging technologies. Attend conferences, workshops, and seminars to maintain expertise in the field of generative AI.

Qualifications:

1. Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related field.
2. Strong foundation in machine learning, deep learning, and neural networks.
3. Proficiency in programming languages such as Python and relevant AI libraries (TensorFlow, PyTorch, etc.).
4. Experience with generative modeling techniques (GANs, VAEs, etc.) and their applications.
5. Solid understanding of data preprocessing, feature extraction, and model evaluation.
6. Experience in training and optimizing neural networks on large datasets.
7. Familiarity with cloud computing platforms and distributed computing is a plus.
8. Strong problem-solving skills and a creative mindset.
9. Excellent communication and teamwork abilities.
10. Portfolio of previous generative AI projects or publications is desirable

About us

We write software that tells data stories. We told a global computer manufacturer to “focus on order delivery time. It’ll increase NPS by 18% with incremental revenue of >$50M”. We predicted mosquito release points for a foundation to cut down process times from 3 weeks to 2 hours in a mission to protect 100M lives from malaria in 5 years.”.

We are good at what we do, which is why we are growing by 40% every year. We’re looking for team members who share our vision and will help us scale.

We offer you

• First-hand experience with C-Suite focused business advisory in the space of data & analytics.
• An opportunity to make deep industry connects with data science experts, client teams, domain champions and be part of the change that is transforming the business environment today
• A chance to try things, take risks.
• Meaningful problems you’ll be proud of solving.
• People you will be comfortable working with.

Key metrics for you will be

• Solution quality and business value delivered to client
• Successful project deliveries
• Customer Satisfaction on engagements