Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
- Design, develop, and deploy machine learning, deep learning, and AI models for production.
- Build and maintain scalable data pipelines for feature extraction, model training, and inference.
- Implement and manage end-to-end MLOps workflows for model versioning, monitoring, and CI/CD automation.
- Conduct exploratory data analysis (EDA), feature engineering, and model optimization.
- Work with structured and unstructured datasets, including text, images, and time-series data.
- Collaborate with data scientists, software engineers, and stakeholders to translate business needs into ML solutions.
- Develop model evaluation processes, A/B testing, and continuous monitoring for model performance.
- Deploy models using cloud platforms (AWS, Azure, GCP) or containerized environments (Docker/Kubernetes).
- Create technical documentation, architecture designs, and ML best practice guidelines.
- Stay updated with the latest advancements in AI, ML, NLP, and deep learning technologies.
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Statistics, or a related field.
- Strong hands-on experience with Python and ML libraries such as:
- Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM
- Solid understanding of machine learning algorithms, deep learning, NLP, and model lifecycle management.
- Experience working with cloud ML services:
- AWS Sagemaker, Azure ML, Google Vertex AI
- Experience with data processing frameworks (Spark, Databricks, Airflow).
- Strong understanding of Linux environments, Docker, Kubernetes, and CI/CD pipelines.
- Experience with SQL and NoSQL databases.
- Familiarity with software engineering principles, version control (Git), and Agile methodologies.
Key Skills
Ranked by relevanceReady to apply?
Join Tek Tron IT and take your career to the next level!
Application takes less than 5 minutes

