Urgent! Artificial Intelligence Engineer - NLP/Machine Learning Job Opening In Bengaluru – Now Hiring Velodata Global Pvt Ltd
<p><p><b>About the job :</b><br/><br/>AI/ML Engineer/Sr Engineer/Lead<br/><br/>Location : Kochi / Bangalore (initially in Kochi)<br/><br/><b>Role Summary :</b><br/><br/>We are looking for a hands-on AI/ML Engineer to design, build, and deploy production-grade machine learning systems.
The role requires strong experience in both model development and MLOps practices, ensuring that ML solutions are scalable, maintainable, and performance optimized.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Design and implement ML models for classification, regression, clustering, Recommendation System, Anomaly Detection, Neural Networks, NLP, Comp Vision Models<br/><br/>- Package models and deploy them into production environments using CI/CD workflows<br/><br/>- Develop and manage ML pipelines for data preprocessing, training, testing, and serving<br/><br/>- Monitor model performance in production (latency, drift, accuracy) and retrain when needed<br/><br/>- Collaborate with data engineers, MLOps engineers, and DevOps to ensure smooth deployments<br/><br/>- Support versioning of models, datasets, and configurations<br/><br/>- Participate in performance tuning, experiment tracking, and governance enforcement<br/><br/><b>Must-Have Skills :</b><br/><br/>- Strong programming skills in Python, with experience in Scikit-learn, XGBoost, or TensorFlow/PyTorch<br/><br/>- Experience building and deploying models using Flask, FastAPI, or Streamlit<br/><br/>- Solid grasp of MLOps concepts :<br/><br/>1.
CI/CD for ML (GitHub Actions, Azure DevOps, etc.)<br/><br/>2.
Model versioning and registry (MLflow, SageMaker, Vertex AI, etc.)<br/><br/>3.
Data versioning (DVC, LakeFS)<br/><br/>4.
Monitoring and retraining workflows<br/><br/>- Comfortable working with containerization (Docker) and deployment on cloud platforms (AWS, Azure, or GCP)<br/><br/>- Good understanding of model explainability, fairness, and data privacy<br/><br/><b>Nice to Have :</b><br/><br/>- Familiarity with Airflow, Kubeflow, or Prefect for orchestration<br/><br/>- Exposure to feature stores and drift detection tools<br/><br/>- Experience with NLP (LLMs, Transformers) or time series forecasting<br/><br/>- Understanding of model caching, load testing, and API security for ML services<br/><br/>- Domain Knowledge in Financial Services (especially Capital Markets)</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 19896 jobs in India and 1033 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! Velodata Global Pvt Ltd is currently hiring and seeking a Artificial Intelligence Engineer NLP/Machine Learning 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 Velodata Global Pvt Ltd adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Artificial Intelligence Engineer NLP/Machine Learning 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 Engineer NLP/Machine Learning 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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