Urgent! Artificial Intelligence Developer - Python/Computer Vision Job Opening In Bengaluru – Now Hiring Winning Edge
<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)
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Unlock Your Artificial Intelligence Potential: Insight & Career Growth Guide
Real-time Artificial Intelligence Jobs Trends in Bengaluru, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Artificial Intelligence in Bengaluru, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 19578 jobs in India and 959 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in Artificial Intelligence roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Winning Edge is currently hiring and seeking a Artificial Intelligence Developer Python/Computer Vision to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Winning Edge adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Artificial Intelligence Developer Python/Computer Vision Jobs India varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Artificial Intelligence Developer Python/Computer Vision typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Artificial Intelligence Developer Python/Computer Vision interview at Winning Edge, research the company, understand the job requirements, and practice common interview questions.
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