AI/ML Engineer

at Quanteon Solutions

AI/ML Engineer

Quanteon Solutions

Company

Home

AI/ML Engineer

at Quanteon Solutions

Posted by DurgaPrasad Sannamuri

4 - 5 yrs

₹10L - ₹15L / yr

Remote only

Skills

Artificial Intelligence (AI)

Generative AI

Large Language Models (LLM) tuning

Machine Learning (ML)

Python

Natural Language Processing (NLP)

Computer Vision

Amazon Web Services (AWS)

Docker

We are looking for an 4-5 years of experienced AI/ML Engineer who can design, develop, and deploy scalable machine learning models and AI-driven solutions. The ideal candidate should have strong expertise in data processing, model building, and production deployment, along with solid programming and problem-solving skills.

Key Responsibilities

Develop and deploy machine learning, deep learning, and NLP models for various business use cases.
Build end-to-end ML pipelines including data preprocessing, feature engineering, training, evaluation, and production deployment.
Optimize model performance and ensure scalability in production environments.
Work closely with data scientists, product teams, and engineers to translate business requirements into AI solutions.
Conduct data analysis to identify trends and insights.
Implement MLOps practices for versioning, monitoring, and automating ML workflows.
Research and evaluate new AI/ML techniques, tools, and frameworks.
Document system architecture, model design, and development processes.

Required Skills

Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras).
Hands-on experience in building and deploying ML/DL models in production.
Good understanding of machine learning algorithms, neural networks, NLP, and computer vision.
Experience with REST APIs, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
Working knowledge of MLOps tools such as MLflow, Airflow, DVC, or Kubeflow.
Familiarity with data pipelines and big data technologies (Spark, Hadoop) is a plus.
Strong analytical skills and ability to work with large datasets.
Excellent communication and problem-solving abilities.

Preferred Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or related fields.
Experience in deploying models using cloud services (AWS Sagemaker, GCP Vertex AI, etc.).
Experience in LLM fine-tuning or generative AI is an added advantage.

Key Responsibilities

Develop and deploy machine learning, deep learning, and NLP models for various business use cases.
Build end-to-end ML pipelines including data preprocessing, feature engineering, training, evaluation, and production deployment.
Optimize model performance and ensure scalability in production environments.
Work closely with data scientists, product teams, and engineers to translate business requirements into AI solutions.
Conduct data analysis to identify trends and insights.
Implement MLOps practices for versioning, monitoring, and automating ML workflows.
Research and evaluate new AI/ML techniques, tools, and frameworks.
Document system architecture, model design, and development processes.

Required Skills

Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras).
Hands-on experience in building and deploying ML/DL models in production.
Good understanding of machine learning algorithms, neural networks, NLP, and computer vision.
Experience with REST APIs, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
Working knowledge of MLOps tools such as MLflow, Airflow, DVC, or Kubeflow.
Familiarity with data pipelines and big data technologies (Spark, Hadoop) is a plus.
Strong analytical skills and ability to work with large datasets.
Excellent communication and problem-solving abilities.

Preferred Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or related fields.
Experience in deploying models using cloud services (AWS Sagemaker, GCP Vertex AI, etc.).
Experience in LLM fine-tuning or generative AI is an added advantage.

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About Quanteon Solutions

Founded :

2015

Type :

Products & Services

Size :

20-100

Stage :

Profitable

About

N/A

Company social profiles

N/A

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