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Artificial Intelligence Engineer

Artificial Intelligence Engineer

CareerXperts Consulting

0 years

0 Lacs

India

Posted:1 day ago| Platform:

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Skills Required

ai training learning model design code scalability data preprocessing engineering ml tensorflow pytorch vision research cutting coding python evaluation strategies rest docker kubernetes aws gcp azure openai retrieval inference github

Work Mode

On-site

Job Type

Full Time

Job Description

We’re looking for a hands-on AI Engineer to join our team and build intelligent systems that solve real-world problems at scale. From training deep learning models to deploying them in production, you’ll work across the AI lifecycle — helping us push the boundaries of what machines can do.

This is not just a model-tweaking role — we expect you to design solutions, write robust code, and bring models into production with performance and scalability in mind.

Key Responsibilities:

Design, develop, train, fine-tune, and deploy machine learning / deep learning models.
Collaborate with data scientists and engineers to productionize models (model serving, APIs, pipelines).
Perform data preprocessing, feature engineering, and model optimization.
Build and maintain scalable ML infrastructure using frameworks like TensorFlow, PyTorch, and MLFlow.
Apply LLMs, transformers, NLP techniques, or computer vision models based on problem context.
Monitor model performance and retrain/refactor as needed in production.
Stay up to date with AI research and evaluate potential applications of cutting-edge techniques.

Must-Have Skills:

Strong coding skills in Python (and ideally experience with C++/Java or other system-level languages).
Hands-on experience with ML/DL frameworks: TensorFlow, PyTorch, Hugging Face, Scikit-learn.
Experience with NLP, CV, or generative AI techniques (depending on role focus).
Solid understanding of model evaluation, training strategies, and overfitting control.
Experience working with structured/unstructured data at scale.
Familiarity with deploying ML models (REST APIs, Docker, Kubernetes, etc.).
Knowledge of cloud platforms (AWS, GCP, or Azure) and MLOps tools is a plus.

Good to Have:

Experience working with LLMs or foundation models (e.g., OpenAI, LLaMA, Gemini).
Familiarity with vector databases (e.g., Pinecone, FAISS) and retrieval-augmented generation (RAG).
Exposure to data engineering workflows or real-time inference systems.
Contributions to open-source AI/ML projects or strong GitHub portfolio.

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CareerXperts Consulting

Staffing and Recruiting

Bangalore Karnataka

51-200 Employees

46 Jobs

Key People

Rajesh Kumar

CEO
Sita Reddy

Co-Founder
Anil Sharma

HR Director

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Artificial Intelligence Engineer