Associate

We are hiring for an AI Engineer (Generative AI Engineer) Experience Level: 2 to 4 years Location: Bengaluru/ Pune/ Gurgaon Job Type: Full-Time Job Description: We are seeking a Generative AI Engineer with 2 to 4 years of experience in working with vector databases, embeddings, machine learning, and tools like OpenAI to train and deploy AI models. You’ll play a crucial role in building AI solutions that leverage advanced model training techniques and large-scale data embeddings. - Develop and deploy generative AI models using vector databases and embedding techniques for applications such as text, image, or audio generation. - Work with vector databases to store and retrieve high-dimensional data efficiently. - Use machine learning frameworks to train models and fine-tune them for specific use cases. - Collaborate with the team to integrate OpenAI models and APIs into various projects. - Research and implement state-of-the-art machine learning techniques to optimize model performance. - Ensure models are scalable, efficient, and meet quality standards. - Analyze large-scale data sets to create high-quality embeddings for use in various machine-learning models. - Stay updated with the latest advancements in generative AI, embeddings, and model training. What We’re Looking For: - Bachelor’s or master’s degree in computer science, Machine Learning, AI, or a related field. - 2 to 4 years of experience with machine learning models and model training techniques. - Strong knowledge of vector databases (e.g., Elastic Vector, Pinecone, FAISS), vector search, and embedding techniques. - Experience working with OpenAI APIs, Lang chain, Prompt Engineering, and integrating GPT models into applications. - Proficiency in Python, Fast API is preferred, and by popular ML libraries like TensorFlow or Py Torch. - Hands-on experience with training models and working with large datasets. - Familiarity with cloud Azure for model deployment. - Strong problem-solving skills and the ability to work on cutting-edge AI technologies. - Hands-on experience on Azure Databricks and pipeline If you are passionate about using generative AI, vector embeddings, and machine learning to create innovative solutions, we’d love to have you on our team!