AI Engineer-Full time-Hybrid

Qualifications

• The ideal candidate will have strong experience in machine learning, deep learning, NLP, and working with large language models (LLMs) to solve complex business problems

• Strong programming skills in Python

• Hands-on experience with AI/ML, deep learning, and NLP

• Experience with LLMs, transformers, and Generative AI frameworks

• Knowledge of ML libraries such as TensorFlow, PyTorch, or similar

• Experience with MLOps tools and model deployment

• Strong understanding of data structures, algorithms, and statistical techniques

• Experience working with large datasets and distributed systems

• Familiarity with REST APIs and backend integration

• 6 more items(s)

Responsibilities

• Design and develop AI/ML models and scalable solutions for real-world applications

• Build and deploy Generative AI applications using LLMs (e.g., GPT, LLaMA, etc.)

• Perform data preprocessing, feature engineering, and model training

• Implement NLP solutions using transformer-based architectures

• Fine-tune and optimize LLMs for domain-specific use cases

• Develop and manage end-to-end ML pipelines using MLOps practices

• Work with vector databases (e.g., Pinecone, Milvus, pgVector) for embeddings and semantic search

• Perform prompt engineering and optimize model outputs

• Collaborate with cross-functional teams including Data Engineers, Product Managers, and DevOps

• Monitor model performance and ensure scalability, reliability, and accuracy

• 7 more items(s)

More job highlights

Job description

We are seeking a skilled AI Engineer to design, develop, and deploy advanced AI/ML and Generative AI solutions.

The ideal candidate will have strong experience in machine learning, deep learning, NLP, and working with large language models (LLMs) to solve complex business problems.

Key Responsibilities:

• Design and develop AI/ML models and scalable solutions for real-world applications

• Build an...d deploy Generative AI applications using LLMs (e.g., GPT, LLaMA, etc.)

• Perform data preprocessing, feature engineering, and model training

• Implement NLP solutions using transformer-based architectures

• Fine-tune and optimize LLMs for domain-specific use cases

• Develop and manage end-to-end ML pipelines using MLOps practices

• Work with vector databases (e.g., Pinecone, Milvus, pgVector) for embeddings and semantic search

• Perform prompt engineering and optimize model outputs

• Collaborate with cross-functional teams including Data Engineers, Product Managers, and DevOps

• Monitor model performance and ensure scalability, reliability, and accuracy

Required Skills & Qualifications:

• Strong programming skills in Python

• Hands-on experience with AI/ML, deep learning, and NLP

• Experience with LLMs, transformers, and Generative AI frameworks

• Knowledge of ML libraries such as TensorFlow, PyTorch, or similar

• Experience with MLOps tools and model deployment

• Strong understanding of data structures, algorithms, and statistical techniques

• Experience working with large datasets and distributed systems

• Familiarity with REST APIs and backend integration

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