Artificial Intelligence Consultant

Aptagrim Limited

0 years

0 Lacs

hyderabad telangana india

Posted:1 month ago| Platform:

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Skills Required

ai learning vision processing design segmentation summarization engineering devops model deployment latency efficiency tuning training programming git docker ml mlflow aws gcp azure

Work Mode

On-site

Job Type

Full Time

Job Description

AI Engineer

You will be at the forefront of creating production-ready AI solutions, working closely with cross-functional teams to design, train, optimize, and deploy state-of-the-art models that solve real-world problems.

Key Responsibilities

Design, train, and fine-tune models for tasks such as:
Image classification, segmentation, object detection
Text classification, summarization, generation
Build and integrate generative AI solutions using LLMs (e.g., GPT, LLaMA, BERT)
Optimize and deploy AI models in
scalable, GPU-accelerated environments
Collaborate with engineering, DevOps, and IT teams to ensure robust model deployment and monitoring
Translate business requirements into AI solutions through close interaction with product and customer teams
Continuously improve model performance with respect to accuracy, latency, and resource efficiency

Requirements

Strong understanding of
deep learning, computer vision, and NLP fundamentals
Hands-on experience with:
CNNs, RNNs/LSTMs, attention mechanisms, transformers
Generative models such as
diffusion models
,
text-to-image models
, or
LLMs
Proficiency in
PyTorch
or
TensorFlow
Experience working with LLM platforms such as
Hugging Face
,
OpenAI
, or similar
Exposure to prompt engineering, fine-tuning, or embedding-based retrieval
Familiarity with
GPU-based training workflows
, distributed computing, or MLOps tools is a plus
Solid programming skills in
Python
and comfort with Git, Docker, or related tools

Good to Have

Experience with vector databases (e.g., FAISS, Pinecone)
Knowledge of ML lifecycle tools like MLflow, Weights & Biases, or DVC
Exposure to cloud platforms (AWS, GCP, or Azure) for model training/deployment

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