GenAI Engineer

Job Description

Position: GenAI Engineer

Location: Gr. Noida, Bangalore

Duration: Full Time

Must Have Skills

1: Strong experience with Generative AI at Senior Developer Level

2: RAG applications

3: Very strong with Python Programming Concepts

4: ML and Deep Learning, TensorFlow, PyTorch, Keras

5: Cloud Experience (AWS, GCP, Azure)

We are currently hiring a highly skilled and motivated Generative AI Engineer to join our talented engineering team.

As a Generative AI Engineer, you will be responsible for developing and implementing cutting-edge generative AI models to solve complex problems and drive innovation across our organization.

You will work closely with data scientists, software engineers, and product managers to design, build, and deploy AI-powered solutions that enhance our products and services.

Main Responsibilities of a Generative AI Engineer Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs.

Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.

Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.

Optimizing existing generative AI models for improved performance, scalability, and efficiency. Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.

Key Requirements of a Generative AI Engineer You have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.

You are proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. You are familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.

You have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging ace.

You are familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.

Your Knowledge & Skills 5+ years of experience as a ML engineer/software developer Strong programming skills in Python and familiarity with data science toolkits, such as Pandas, Scikit-learn, TensorFlow, PyTorch, LangChain

Experience in building RAG applications and/or working with embeddings / vector databases Experience in utilizing machine learning, especially generative models in solutions that made it to production Proven track record in data driven evaluation of algorithms, models and/or technologies Experience with cloud services (Azure, AWS, GCP)