Senior Artificial Intelligence Engineer

2 weeks ago

Bengaluru, India Impact Analytics Full time

The impact that you will be making :

- Solve complex business problems of the global supply chain & retail industry through Machine Learning, especially leveraging Generative AI.

- Build cutting-edge GenAI solutions, leveraging both external assets (e.g., ChatGPT) as well as IA's proprietary models, to efficiently address real-world problems.

- Play a critical role in developing/evolving IA's industry-disrupting Foundational Model for Forecasting, and integrating the same into various product offerings.

- Deliver AI R&D objectives for one or more project modules, and work with other AI leads, AI architects, and CTO to design & develop new Deep Learning/GenAI architectures and algorithms.

- Contribute to the IP generation process in the company, and work towards patenting key inventions.

- Collaborate with various stakeholder groups to identify opportunities for applying GenAI to solve real-world problems.

What lands you in this role :

- 4-6 years in Machine Learning with at least 2-3 years in the following areas:

1. Deep Learning

2. Generative AI

3. Computer Vision or Natural Language Processing

- Strong conceptual knowledge of :

1. Generative modeling techniques (e.g., Autoencoders, Diffusion & Transformer architectures)

2. Efficient Fine-tuning mechanisms (e.g., Adapter training, Multi-task learning, etc.)

3. Hyperparameter Optimization (especially Bayesian & Multi-fidelity Optimization techniques.)

- Strong understanding of the global GenAI ecosystem, and how it continues to evolve.

- Proficiency in Python, and associated frameworks like TensorFlow or PyTorch.

- Strong communication skills, including the ability to explain advanced technical concepts, ideas, and solutions to both technical and non-technical collaborators.

- Ability to work under minimal supervision and in a fast-paced environment..

- Candidates with prior experience in building or fine-tuning LLMs will be given preference.

- Candidates with Masters or Ph.D. in computing/systems, mathematics, machine learning or related areas will be preferred.

(ref:hirist.tech)

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