Generative AI Engineer

7 days ago

Bengaluru, Karnataka, India Micoworks株式会社 Full time

Company Description

Fastest growing Digital advertising platform company. Well funded and now expanding its development center to India with ML / Generative AI product solutions.

About MicoCloud

"MicoCloud" is a communication platform that enables personalization of customer experience. MicoCloud is a communication platform that enables personalization of the customer experience. Based on customer data, messages that match the interests of each individual are delivered via official LINE accounts to realize an all-in-one service experience, from attracting customers to converting them into fans. By delivering information that customers want to know at the most appropriate time, it helps companies increase sales, boost the repeat rate, and improve LTV.

Role Description

This is a full-time hybrid role for a Generative AI Engineer located in Mumbai. The Generative AI Engineer will be responsible for researching, developing, and implementing generative AI models for various applications. The Generative AI Engineer will also work closely with the data science team to ensure seamless integration of models and data. Some remote work is acceptable.

  • Generate images and image transformations using Deep Learning Models in Computer Vision, GANS, Diffusion Models, and NLP
  • Stay up to date with AI technology, advise on how we can adapt and embrace new technologies and ideas.

Experience: Total experience of 5+ years working in AI/ML in which 2+ years of experience working with image generation models

Required Skills

  • Strong understanding of AI/ML algorithms and techniques.
  • Proficiency in programming languages such as Python, Java, or C++, along with experience with AI frameworks, machine learning algorithms, neural networks, and statistical modeling techniques, libraries such as TensorFlow, PyTorch, or scikit-learn.
  • Must Have In depth hands on experience on - Generative Adversarial Network, ChatGPT, DALL E, stable diffusion, Open AI Functions.
  • End-to-end deployment of AI-based Applications from edge to cloud
  • Deep understanding of the concepts of image and computer vision, and experience with deep architectures for various computer vision tasks such as ViT, Swin, VAE, and Unet.
  • Knowledge of Diffusion pipelines for generative applications
  • Strong background in machine learning, deep learning, and other relevant fields
  • The strong mathematical-statistical understanding behind the algorithms.
  • Good in the evaluation of the performance, CBA of various algorithms.
  • Proficiency in Python, with experience using libraries such as TensorFlow, PyTorch, and Keras
  • Experience in research and development of generative AI models
  • Experience working with large datasets and distributed computing
  • Strong problem-solving and critical thinking skills
  • Excellent communication and teamwork skills
  • Ability to think through alternatives, come to decisions quickly, and follow through with execution to resolve issues at the source.
  • Experience writing and speaking about technical concepts to businesses and giving data-driven presentations.

Preferred skills:

  • Experience with Digital Marketing domain preferred
  • Experience with natural language processing is a plus
  • Experience with text generation with Supervised fine tuning, RAG and prompt engineer is a plus.
  • Hands-on expertise in large language models that can perform complex reasoning in few- and zero-shot training with intermediate chain of thought (CoT) reasoning
  • Experience working in a startup or fast-paced environment is a plus
  • Experience with AWS tech stack & sagemaker is a plus.

Qualification:

Master's or Ph.D. in Statistics, Mathematics, Computer Science, Data Science or another quantitative field

M.Tech, ME / MS in Electronics/Telecommunication, Computers, Statistics

Technical / Professional: Statistics, Linear Algebra, Machine Learning, Natural Language Processing, Deep Learning, Reinforcement Learning, Computer Vision, Generative AI, LLM, Data Structure, R, Python

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