Overview
Build and deploy machine learning and generative AI solutions, including LLM-based applications, to solve complex business problems.
What you'll do
- Design, develop, and deploy machine learning and generative AI models to address business needs.
- Work with large-scale datasets using Python, SQL, and industry-standard libraries such as Scikit-learn, TensorFlow, PyTorch, Keras, and AutoML.
- Develop and fine-tune LLM-based solutions using GPT-3, GPT-4, or similar models for real-world applications.
- Ensure data quality, integrity, and compliance with best practices, frameworks, and coding standards.
- Explore and apply natural language processing techniques for text understanding, summarization, and sentiment analysis.
- Implement solutions on Azure, AWS, or GCP cloud platforms to ensure scalability and efficiency.
- Research and experiment with GenAI, Agentic AI models, and advanced frameworks to drive innovation.
What you'll need
- Bachelor’s in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Strong programming skills in Python.
- Proficiency in SQL.
- Hands-on experience in machine learning, AI, and data science projects.
- Understanding of generative AI concepts, frameworks, and model deployment.
- Proficiency with deep learning libraries such as TensorFlow, PyTorch, or Keras.
- English language proficiency at Upper Intermediate - B2 level.
Nice to have
- Prior experience in building LLM applications.
- Familiarity with NLP techniques and tasks, including NER, sentiment analysis, summarization, and text classification.
- Exposure to any cloud AI services, including Azure AI, AWS SageMaker, or GCP Vertex AI.
- Familiarity with MLOps practices for model lifecycle management.
- Strong problem-solving, communication, and collaboration skills in multidisciplinary environments.
Details
- Location: Hafeezpet Phoenix, Hyderabad, India.
- Work mode: Hybrid.
- Work shift: Day Job (India).
- Employment type: Regular.
Read the full description and apply on the company’s own careers page.