Noida, Uttar Pradesh, India
Information Technology
Full-Time
TechRBM
Overview
Job Description
Key Responsibilities :
Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related fields.
Why Join Us?
Key Responsibilities :
- Build and maintain robust Python applications for AI/ML and automation workflows.
- Deploy, fine-tune, and monitor ML/DL models using frameworks like TensorFlow, PyTorch, Hugging Face.
- Design and manage ETL/data pipelines (batch and real-time) using Apache Spark, Airflow, and Kafka.
- Implement cloud-native deployments on AWS, Azure, or GCP using Docker and Kubernetes.
- Drive and manage MLOps pipelines, including CI/CD for ML, model retraining, and version control using tools like MLflow, Kubeflow.
- Ensure high standards of code quality, testing, and documentation.
- Mentor junior developers and contribute to the growth of the AI/ML engineering team.
- 6- 9 years of overall software development experience with 5+ years in Python for AI/ML applications.
- Strong hands-on experience with :
- Python frameworks: FastAPI, Django
- ML/DL frameworks: TensorFlow, PyTorch, Hugging Face Transformers
- Big data & workflow tools: Apache Spark, Airflow, Kafka
- Experience with cloud platforms (AWS, Azure, GCP) and ML services like :
- Amazon SageMaker
- Azure ML
- Google Vertex AI
- Proficiency in containerization and orchestration tools: Docker, Kubernetes.
- Solid understanding of MLOps tools: MLflow, Kubeflow, CI/CD pipelines for ML.
- Exposure to Generative AI, NLP, or Computer Vision projects.
- AI/ML/Cloud certifications (AWS, Azure, GCP, TensorFlow, etc.).
- Experience working in agile environments with cross-functional teams.
Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related fields.
Why Join Us?
- Work on global AI/ML & Generative AI projects.
- Opportunity to shape AI/ML delivery frameworks.
- Clear path for career growth and leadership roles.
- Competitive compensation with performance-based Collaborative and innovation-driven work culture.
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