• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 29th Feb 2024

Role & Responsibilities:

•             Design, develop, and implement advanced AI solutions to solve complex business problems across various domains.

•             Collaborate with engineers, researchers, and product managers to understand business needs and translate them into technical specifications for AI models.

•             Gather, clean, and prepare data for training and evaluating sophisticated AI models, ensuring data quality and ethical considerations.

•             Explore and implement state-of-the-art AI techniques, including deep learning, natural language processing, and computer vision, tailored to specific needs.

•             Evaluate and compare different AI model architectures and hyperparameters to optimize performance, address potential biases, and ensure responsible development.

•             Develop monitoring and evaluation frameworks to track AI model performance and ensure alignment with business goals.

•             Communicate complex AI concepts and findings to technical and non-technical audiences through data visualization, storytelling, and presentations.

Skills

Technical:

•             Programming languages: Python (proficient) with major ML libraries

•             Experience with opensource Gen AI LLMs e.g., Llama and Dolly

•             Machine learning, NLP & deep learning: Strong understanding of supervised and unsupervised learning, neural networks, transformers

•             Generative AI techniques: Experience with GANs, text-to-image generation, text generation models

•             Data wrangling & manipulation: SQL, data cleaning, feature engineering

•             Hyperscalers: AWS, Azure, or GCP experience a plus

Non-technical

•             Problem-solving & critical thinking: Ability to identify and solve complex problems with data-driven solutions.

•             Communication & collaboration: Effectively communicate technical concepts to diverse audiences, work with geographically distributed teams

•             Innovation & creativity

•             Attention to detail & accuracy

•             Self-motivation & continuous learning