AI / ML Engineer

Quanteon Solutions; Hyderabad; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Quanteon Solutions in Hyderabad seeks a Machine Learning Engineer to develop and deploy cutting-edge AI solutions for various business use cases. The ideal candidate will have strong programming skills in Python, hands-on experience with ML models, and knowledge of cloud platforms like AWS and Azure. As a key member of the team, you'll be responsible for building end-to-end ML pipelines, optimizing model performance, and collaborating with cross-functional teams. A relevant degree required, and experience in Generative AI is a plus.

Qualifications

• Strong programming skills in Python, including libraries like NumPy and TensorFlow.
• Hands-on experience in deploying ML/DL models in production.
• Good understanding of machine learning algorithms and NLP.

Responsibilities

• Develop and deploy machine learning models for various business use cases.
• Build end-to-end ML pipelines including preprocessing and deployment.
• Work closely with teams to translate business requirements into AI solutions.

Skills

Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras)

Machine learning algorithms

Neural networks

Natural Language Processing (NLP)

Computer vision

Analytical skills

Education

Bachelor's or Master's degree in computer science, data science, AI, machine learning, or IT

Tools

Docker

Kubernetes

AWS/GCP/Azure

MLOps tools (MLflow, Airflow, DVC, Kubeflow)

Big data technologies (Spark, Hadoop)

Job description

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.
• Optimise 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.

Requirements

• Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras).
• Hands‑on experience in building, deploying, and fine‑tuning 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.
• Experience in deploying models using cloud services (AWS SageMaker, GCP Vertex AI, etc.).
• Experience in LLM fine‑tuning or Generative AI, Voice AI, is an added advantage.

Educational Qualification

• A bachelor's or master's degree in computer science, data science, AI, machine learning, or IT from a good college.