AI/Machine Learning Specialist

3 days ago


Lucknow, Uttar Pradesh, India beBeeMachineLearning Full time ₹ 12,36,015 - ₹ 25,12,031
Artificial Intelligence/Machine Learning Engineer

We are seeking a highly skilled Artificial Intelligence/Machine Learning (AI/ML) Engineer to join our team. As an AI/ML Engineer, you will be responsible for designing, developing, and deploying machine learning algorithms and models that drive business outcomes.

About the Role:
  • Design, develop, and deploy machine learning models using various programming languages and frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Conduct research on emerging AI/ML technologies and trends to identify opportunities for innovation and improvement.
  • Collaborate with cross-functional teams to integrate AI/ML solutions into existing workflows and processes.
  • Maintain and improve existing AI/ML models and algorithms to ensure optimal performance and accuracy.
  • Analyze data to identify areas of improvement and optimize model performance.
Requirements:
  • Bachelor's or Master's degree in Computer Science, AI/ML, or related field.
  • Strong foundation in pattern recognition, neural networks, and deep learning.
  • Experience with Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) systems.
  • Proficiency with popular AI/ML frameworks and tools such as Pinecone, Weaviate, FAISS, and Milvus.
  • Excellent problem-solving skills and a collaborative mindset.
  • Prior experience in the healthcare sector is an advantage.
Preferred Skills:
  • Hands-on experience with vector databases.
  • Knowledge of prompt engineering and fine-tuning LLMs.
  • Familiarity with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes.
  • Strong software engineering practices including version control, CI/CD, and API development.
  • Understanding of data pipelines, ETL, and healthcare data standards such as HL7 and FHIR.
  • Experience in building scalable AI-driven applications for production environments.


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