AI/ML Engineer

5 hours ago

Itanagar, Arunachal Pradesh, India Quanteon Solutions Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Description
We are looking for 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

  • Bachelors or Masters 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.

Additional Information

  • Work Mode : Remote
  • Project Duration : 1-year contract (with the possibility of extension based on project requirements)
  • Shift Timings : 2 : 00 PM 11 : 00 PM IST
  • Employment Type : Contract Position

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