AI ML Engineers

True Tech Professionals

3 years

0 Lacs

Gurugram Haryana India

Posted:2 days ago| Platform:

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Skills Required

ai ml learning cutting design code aws automate data preprocessing engineering model tensorflow pytorch sagemaker openai rest microservices docker mlflow communication tuning retrieval certification vision

Work Mode

On-site

Job Type

Full Time

Job Description

Job Summary:

AI/ML Engineer

Key Responsibilities:

Design and develop robust ML models, including traditional and deep learning approaches
Build, train, fine-tune, and deploy
Generative AI models
(e.g., LLMs, diffusion models) for various use cases such as text, image, or code generation
Utilize AWS services like
SageMaker
,
Lambda
,
EC2
,
S3
, and
Glue
to build scalable AI/ML solutions
Create and automate ML pipelines using
CI/CD and MLOps
best practices
Conduct data preprocessing, feature engineering, and EDA for model development
Collaborate with cross-functional teams to translate business problems into ML solutions
Stay updated with the latest trends in GenAI and propose innovative solutions using LLMs or transformer-based architectures (GPT, BERT, T5, etc.)
Ensure model performance, fairness, and explainability throughout the lifecycle

Required Skills & Qualifications:

Bachelor's/Master’s degree in Computer Science, AI/ML, Data Science, or a related field
3+ years of hands-on experience in
machine learning
and
deep learning
using
Python
(TensorFlow, PyTorch, Hugging Face, etc.)
Strong hands-on experience with
AWS AI/ML services
(SageMaker,Lambda, EC2, S3)
Experience in deploying LLMs or transformer-based models in production
Familiarity with
GenAI tools
like
Hugging Face Transformers
,
LangChain
,
OpenAI API
,
Bedrock
, or
LLamaIndex
Working knowledge of REST APIs, microservices, and containerized deployments (Docker, EKS, ECS)
Proficient in MLOps tools such as MLflow, SageMaker Pipelines, or Kubeflow
Strong communication skills and ability to present complex ML concepts clearly

Preferred Qualifications:

Experience with prompt engineering, fine-tuning, or RAG (Retrieval-Augmented Generation) techniques
AWS Machine Learning Specialty certification or equivalent
Exposure to NLP, computer vision, or multi-modal GenAI models
Contributions to open-source GenAI projects or research

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