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AI / ML Engineer

AI / ML Engineer

Edstem TechnologiesBareilly, IN
18 days ago
Job description

About the Role

We are seeking an experienced AI / ML Engineer with a strong background in designing, developing, and deploying machine learning models and AI-driven solutions. The ideal candidate will have hands-on expertise across the full ML lifecycle—from data exploration and feature engineering to model training, optimization, and production deployment. You will work closely with cross-functional teams to deliver scalable, high-impact AI solutions.

Key Responsibilities

  • Design, develop, and deploy machine learning models and end-to-end ML pipelines.
  • Work with large structured and unstructured datasets to perform data preprocessing, feature engineering, and exploratory analysis.
  • Build, fine-tune, and evaluate supervised, unsupervised, and deep learning models for various use cases.
  • Develop and implement scalable inference systems, APIs, and microservices for production.
  • Collaborate with Data Engineering, Product, and Software teams to integrate models into products and platforms.
  • Research and implement state-of-the-art techniques in NLP, computer vision, and generative AI where applicable.
  • Monitor model performance, automate retraining workflows, and ensure model reliability and accuracy.
  • Optimize models for performance, scalability, and low-latency inference.
  • Create clear technical documentation, model cards, and deployment guidelines.
  • Mentor junior engineers and support code reviews and architecture discussions.

Required Skills & Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
  • 5+ years of hands-on experience in machine learning, deep learning, or AI engineering.
  • Strong proficiency in Python and ML / DL frameworks such as TensorFlow, PyTorch, Scikit-learn .
  • Solid experience with data pipelines , ETL , and working knowledge of SQL / NoSQL databases.
  • Experience building and deploying models using AWS / Azure / GCP services.
  • Strong understanding of ML Ops , CI / CD, containerization (Docker), and orchestration (Kubernetes).
  • Expertise in at least one key area such as NLP, Computer Vision, Time-Series Forecasting, or Generative AI .
  • Working knowledge of version control (Git), model versioning, and experiment tracking tools such as MLflow, DVC , or similar.
  • Ability to write clean, optimized, and production-quality code.
  • Strong problem-solving abilities, analytical skills, and a deep understanding of ML algorithms.
  • Preferred Skills

  • Experience with LLMs , prompt engineering, vector databases, or retrieval-augmented systems (RAG).
  • Familiarity with big data technologies (Spark, Hadoop).
  • Experience with Bayesian optimization, AutoML frameworks, or hyperparameter tuning tools.
  • Exposure to microservice-based architectures.
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