Job Description & How to Apply Below
AI Engineer
Experience:
3–4 years
Location:
Gurgaon (Hybrid)
Joining:
Immediate
Key Responsibilities:
- Design, develop, and deploy Generative AI solutions for real-world applications.
- Work with advanced Large Language Models (LLMs) and build Retrieval-Augmented Generation (RAG) pipelines.
- Implement AI/ML models using Python with Tensor Flow or PyTorch frameworks.
- Fine-tune Transformer-based architectures for domain-specific tasks.
- Collaborate with product and engineering teams to integrate AI solutions into production environments.
- Optimize model performance, scalability, and accuracy while maintaining cost-effectiveness.
- Stay updated with the latest research and trends in Gen AI, LLMs, and NLP.
Required Skills:
- Strong expertise in Generative AI and LLMs (GPT, LLaMA, etc.).
- Hands-on experience with RAG pipelines and vector databases.
- Proficiency in Python, Tensor Flow, and/or PyTorch.
- In-depth understanding of Transformer models and NLP concepts.
- Experience deploying models to cloud environments (AWS, Azure, GCP preferred).
- Ability to work in fast-paced environments with minimal supervision.
Good to Have:
- Knowledge of MLOps practices and CI/CD pipelines for ML models.
- Prior experience with fine-tuning open-source models.
- Exposure to Lang Chain, LLMOps tools, or prompt engineering techniques.
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
Search for further Jobs Here:
×