Information Technology
Full-Time
Galaxy Office Automation Pvt. Ltd.
Overview
About The Role
We are seeking an experienced AI Engineer with a strong background in machine learning, deep learning, and AI model development. The ideal candidate will have 5+ years of hands-on experience designing, implementing, and deploying AI/ML solutions in production environments. You will work closely with cross functional teams to develop cutting-edge AI systems that drive business value.
Key Responsibilities
We are seeking an experienced AI Engineer with a strong background in machine learning, deep learning, and AI model development. The ideal candidate will have 5+ years of hands-on experience designing, implementing, and deploying AI/ML solutions in production environments. You will work closely with cross functional teams to develop cutting-edge AI systems that drive business value.
Key Responsibilities
- Optimize and fine-tune AI models for performance, scalability, and efficiency.
- Work with large datasets, including data preprocessing, feature engineering, and model training.
- Implement NLP, computer vision, reinforcement learning, or generative AI solutions based on business needs.
- Collaborate with data engineers to build scalable ML pipelines and integrate AI models into production systems.
- Stay updated with the latest advancements in AI/ML research and apply them to solve business challenges.
- Conduct A/B testing, model validation, and performance monitoring to ensure robustness.
- Work with cloud platforms (AWS, GCP, Azure) and AI/ML tools (TensorFlow, PyTorch, Hugging Face, LangChain, etc.).
- Mentor junior engineers and contribute to technical decision-making.
- 3 to 5 years of professional experience in AI/ML engineering or related roles.
- Strong expertise in Python and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
- Experience with deep learning architectures (CNNs, RNNs, Transformers, GANs, etc.).
- Proficiency in NLP (BERT, GPT, LLMs) or Computer Vision (OpenCV, YOLO, etc.)
- Hands-on experience with MLOps tools (MLflow, Kubeflow, Docker, Kubernetes).
- Knowledge of cloud-based AI services (AWS SageMaker, GCP Vertex AI, Azure ML).
- Familiarity with big data technologies (Spark, Hadoop, SQL/NoSQL databases).
- Strong problem-solving skills and ability to translate business needs into AI solutions.
- Experience with CI/CD pipelines and version control (Git).
- Bachelors or Masters in Computer Science, AI, or related field (preferred but not mandatory).
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