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Training Jobs in Ras Al Khaimah Ras Al Khaimah United Arab Emirates

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Arham Share

AI/ML Engineer

Arham Share

Surat
Gujarat
1-3 Years
INR Currency
3-7 LPA
availability sign
0-15 days
Machine Learning
Deep Learning
Python
Data Preprocessing

Job Title: AI/ML Engineer

Location: Surat, Gujarat

Employment Type: Full-Time

Experience: 1–3 Years


About the Role

We are looking for a skilled AI/ML Engineer to design, develop, and deploy scalable, production-ready AI and Machine Learning solutions. The ideal candidate should have hands-on experience in Machine Learning, Deep Learning, Predictive Analytics, and modern AI technologies.


Key Responsibilities

  • Develop, train, evaluate, and deploy Machine Learning and Deep Learning models.
  • Build solutions for prediction, forecasting, classification, clustering, recommendation systems, and anomaly detection.
  • Develop AI applications using LLMs, RAG, embeddings, LangChain, and vector databases.
  • Perform data preprocessing, feature engineering, model evaluation, and performance optimization.
  • Build and maintain AI/ML pipelines and integrate models with applications through APIs.
  • Collaborate with product and engineering teams to develop AI-driven features.
  • Monitor and improve deployed models and maintain relevant technical documentation.


Required Skills

  • 1–3 years of experience in AI, Machine Learning, or Deep Learning.
  • Strong knowledge of Python and AI/ML frameworks.
  • Experience with data preprocessing, model training, evaluation, and deployment.
  • Understanding of predictive analytics and modern AI application development.
  • Familiarity with APIs and integrating ML models into applications.


Preferred Skills

  • Experience with LLMs, RAG, LangChain, embeddings, and vector databases such as Pinecone, Milvus, Weaviate, Chroma, or FAISS.
  • Knowledge of MLOps, Docker, Kubernetes, CI/CD, and cloud platforms such as AWS, Azure, or GCP.
  • Experience or knowledge of Trading, FinTech, Wealth Management, Banking, or Financial Services is an advantage.
  • Experience with time-series forecasting, financial datasets, market data, or predictive analytics is preferred.

Posted: 3 weeks ago