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AI/ML Engineer
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AI/ML Engineer

DurgaPrasad Sannamuri's profile picture
Posted by DurgaPrasad Sannamuri
4 - 5 yrs
₹10L - ₹15L / yr
Remote only
Skills
Artificial Intelligence (AI)
Generative AI
Large Language Models (LLM) tuning
skill iconMachine Learning (ML)
skill iconPython
Natural Language Processing (NLP)
Computer Vision
skill iconAmazon Web Services (AWS)
skill iconDocker

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.


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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Quanteon Solutions

Founded :
2015
Type :
Products & Services
Size :
20-100
Stage :
Profitable

About

N/A

Company social profiles

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