
Leading AI Solutions Architect
18 hours ago
AI Engineering Opportunities
We are a leading tech organization with cutting-edge AI solutions looking for an experienced AI Engineer to join our team in Mumbai.
This is an onsite role for immediate placement. The ideal candidate will have hands-on experience in building and deploying AI/ML models, working with LLMs, optimizing pipelines, and contributing to scalable AI solutions.
Key Responsibilities:
- Design, develop, and deploy AI/ML models for real-world applications.
- Work on Large Language Models (LLMs), NLP, computer vision, and predictive analytics.
- Optimize Machine Learning (ML) pipelines for performance and scalability.
- Collaborate with cross-functional teams including developers, data engineers, and product managers.
- Stay updated with advancements in AI/ML and suggest improvements for implementation.
- Conduct experiments, validate results, and integrate solutions into production.
- Troubleshoot, monitor, and improve deployed models.
Required Skills:
- 3–7 years of experience in AI/ML engineering roles.
- Strong proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience working with LLMs and fine-tuning large models.
- Strong knowledge of ML pipelines, data preprocessing, and deployment frameworks (e.g., Docker, Kubernetes, FastAPI).
- Familiarity with cloud platforms (AWS, GCP, Azure) for AI/ML deployment.
- Good understanding of software development practices, Git, CI/CD.
- Strong problem-solving skills and ability to work in a fast-paced environment.
Preferred Skills:
- Experience in Model Operations (MLOps) and model monitoring.
- Exposure to vector databases and AI-driven search systems.
- Prior work in enterprise AI projects.
About the Opportunity
The successful candidate will be responsible for designing, developing, and deploying AI/ML models for real-world applications. They will work closely with cross-functional teams to optimize machine learning pipelines and contribute to scalable AI solutions.
We Offer:
- A competitive compensation package.
- Ongoing training and professional development opportunities.
- A dynamic and supportive work environment.
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