Job description
<p><p><b>We're Hiring: AI Developer - Intelligent Systems </b><br/><br/>Location : Bengaluru | Hybrid Work Mode<br/><br/><b>Tech Stack : #Python, TensorFlow, PyTorch, NLP, CV</b><br/><br/>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.<br/><br/><b>What You'll Build :</b><br/><br/></p>- ML models for classification, recommendation & clustering<br/><br/><p>- Transformer-based NLP solutions & chatbots</p><br/><br/><p>- Computer vision pipelines with YOLO, ResNet</p><br/><br/><p>- Cloud-native AI APIs & batch processing workflows</p><br/><b>Skills We Love :</b><br/><br/>- Python, Scikit-learn, TensorFlow, PyTorch<br/><br/><p>- NLP, CV, data engineering pipelines</p><br/><br/><p>- Docker, Kubernetes, MLOps tools</p><br/><br/><p>- AWS/GCP/Azure deployment experience</p><br/><br/><b>Basic Requirements :</b><br/><br/><b>1.
Programming Languages :</b><br/><br/>- Python: Core language for AI/ML development.
Proficiency in libraries like NumPy, Pandas for data manipulation<br/><br/>- Matplotlib, Seaborn, Plotly for data visualization<br/><br/>- Scikit-learn for classical ML algorithms<br/><br/>- Familiarity with R, Java, or C++ is a plus, especially for performance-critical applications.<br/><br/><b>2.
Machine Learning & Deep Learning Frameworks</b><br/><br/>Experience building models using the following :<br/><br/>- TensorFlow and Keras for deep learning<br/><br/>- PyTorch for research-grade and production-ready models<br/><br/>- XGBoost, LightGBM, or CatBoost for gradient boosting<br/><br/>- Understanding of model training, validation, hyperparameter tuning, and evaluation metrics (e.g., ROC-AUC, F1-score, precision/recall).<br/><br/><b>3.
Natural Language Processing (NLP) </b><br/><br/>Familiarity with :<br/><br/>- Text preprocessing (tokenization, stemming, lemmatization)<br/><br/>- Vectorization techniques (TF-IDF, Word2Vec, GloVe)<br/><br/>- Transformer-based models (BERT, GPT, T5) using Hugging Face Transformers<br/><br/>- Experience with text classification, named entity recognition (NER), question answering, or chatbot development.<br/><br/><b>4.
Computer Vision (CV) :</b><br/><br/>Experience with :<br/><br/>- Image classification, object detection, segmentation<br/><br/>- Libraries like OpenCV, Pillow, and Albumentations<br/><br/>- Pretrained models (e.g., ResNet, YOLO, EfficientNet) and transfer learning<br/><br/><b>5.
Data Engineering & Pipelines :</b><br/><br/>- Ability to build and manage data ingestion and preprocessing pipelines.<br/><br/>- Tools: Apache Airflow, Luigi, Pandas, Dask<br/><br/>- Experience with structured (CSV, SQL) and unstructured (text, images, audio) data.<br/><br/><b>6.
Model Deployment & MLOps :</b><br/><br/>Experience deploying models as :<br/><br/>- REST APIs using Flask, FastAPI, or Django<br/><br/>- Batch jobs or real-time inference services<br/><br/>Familiarity with :<br/><br/>- Docker for containerization<br/><br/>- Kubernetes for orchestration<br/><br/>- MLflow, Kubeflow, or SageMaker for model tracking and lifecycle management<br/><br/><b>7.
Cloud Platforms :</b><br/><br/>- Hands-on experience with at least one cloud provider:<br/><br/>- AWS (S3, EC2, SageMaker, Lambda)<br/><br/>- Google Cloud (Vertex AI, BigQuery, Cloud Functions)<br/><br/>- Azure (Machine Learning Studio, Blob Storage)<br/><br/>- Understanding of cloud storage, compute services, and cost optimization.<br/><br/><b>8.
Databases & Data Access :</b><br/><br/>Proficiency in :<br/><br/>- SQL for querying relational databases (e.g., PostgreSQL, MySQL)<br/><br/>- NoSQL databases (e.g., MongoDB, Cassandra)<br/><br/>- Big data tools like Apache Spark, Hadoop, or Databricks is a plus<br/><br/><b>9.
Version Control & Collaboration :</b><br/><br/>- Experience with Git and platforms like GitHub, GitLab, or Bitbucket.<br/><br/>- Familiarity with Agile/Scrum methodologies and tools like JIRA, Trello, or Asana.<br/><br/><b>10.
Testing & Debugging :</b><br/><br/>- Writing unit tests and integration tests for ML code.<br/><br/><p></p><br/></p> (ref:hirist.tech)
Required Skill Profession
Computer Occupations