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Artificial Intelligence Developer - Python / Computer Vision

Artificial Intelligence Developer - Python / Computer Vision

Winning EdgeBangalore
30+ days ago
Job description

We're Hiring : AI Developer - Intelligent Systems

Location : Bengaluru | Hybrid Work Mode

Tech Stack : #Python, TensorFlow, PyTorch, NLP, CV

Passionate about building AI systems that solve real-world problems? This role offers the chance to design, develop & deploy ML, NLP & computer vision applications for global impact.

What You'll Build :

  • ML models for classification, recommendation & clustering
  • Transformer-based NLP solutions & chatbots
  • Computer vision pipelines with YOLO, ResNet
  • Cloud-native AI APIs & batch processing workflows

Skills We Love :

  • Python, Scikit-learn, TensorFlow, PyTorch
  • NLP, CV, data engineering pipelines
  • Docker, Kubernetes, MLOps tools
  • AWS / GCP / Azure deployment experience
  • Basic Requirements :

    1. Programming Languages :

  • Python : Core language for AI / ML development. Proficiency in libraries like NumPy, Pandas for data manipulation
  • Matplotlib, Seaborn, Plotly for data visualization
  • Scikit-learn for classical ML algorithms
  • Familiarity with R, Java, or C++ is a plus, especially for performance-critical applications.
  • 2. Machine Learning & Deep Learning Frameworks

    Experience building models using the following :

  • TensorFlow and Keras for deep learning
  • PyTorch for research-grade and production-ready models
  • XGBoost, LightGBM, or CatBoost for gradient boosting
  • Understanding of model training, validation, hyperparameter tuning, and evaluation metrics (e.g., ROC-AUC, F1-score, precision / recall).
  • 3. Natural Language Processing (NLP)

    Familiarity with :

  • Text preprocessing (tokenization, stemming, lemmatization)
  • Vectorization techniques (TF-IDF, Word2Vec, GloVe)
  • Transformer-based models (BERT, GPT, T5) using Hugging Face Transformers
  • Experience with text classification, named entity recognition (NER), question answering, or chatbot development.
  • 4. Computer Vision (CV) :

    Experience with :

  • Image classification, object detection, segmentation
  • Libraries like OpenCV, Pillow, and Albumentations
  • Pretrained models (e.g., ResNet, YOLO, EfficientNet) and transfer learning
  • 5. Data Engineering & Pipelines :

  • Ability to build and manage data ingestion and preprocessing pipelines.
  • Tools : Apache Airflow, Luigi, Pandas, Dask
  • Experience with structured (CSV, SQL) and unstructured (text, images, audio) data.
  • 6. Model Deployment & MLOps :

    Experience deploying models as :

  • REST APIs using Flask, FastAPI, or Django
  • Batch jobs or real-time inference services
  • Familiarity with :

  • Docker for containerization
  • Kubernetes for orchestration
  • MLflow, Kubeflow, or SageMaker for model tracking and lifecycle management
  • 7. Cloud Platforms :

  • Hands-on experience with at least one cloud provider :
  • AWS (S3, EC2, SageMaker, Lambda)
  • Google Cloud (Vertex AI, BigQuery, Cloud Functions)
  • Azure (Machine Learning Studio, Blob Storage)
  • Understanding of cloud storage, compute services, and cost optimization.
  • 8. Databases & Data Access :

    Proficiency in :

  • SQL for querying relational databases (e.g., PostgreSQL, MySQL)
  • NoSQL databases (e.g., MongoDB, Cassandra)
  • Big data tools like Apache Spark, Hadoop, or Databricks is a plus
  • 9. Version Control & Collaboration :

  • Experience with Git and platforms like GitHub, GitLab, or Bitbucket.
  • Familiarity with Agile / Scrum methodologies and tools like JIRA, Trello, or Asana.
  • 10. Testing & Debugging :

  • Writing unit tests and integration tests for ML code.
  • (ref : hirist.tech)

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