161 Burgeon IT Services Jobs
5-7 years
Artificial Intelligence Engineer - Machine Learning (5-7 yrs)
Burgeon IT Services
posted 15hr ago
Flexible timing
Key skills for the job
Job Title : AI Engineer
Location : Pan India (Remote/On-site options available)
Experience : 5+ years
Job Overview :
We are looking for an experienced AI Engineer to join our dynamic team. The ideal candidate will have a solid foundation in AI/ML algorithms, data science, and programming, with a proven track record of implementing AI solutions in real-world applications. You will be responsible for building, deploying, and maintaining advanced AI models and solutions to solve business challenges across various industries.
Key Responsibilities :
- Design, develop, and deploy AI/ML models to solve complex business problems.
- Work with cross-functional teams to identify AI use cases and deliver end-to-end solutions.
- Collaborate with data scientists, engineers, and product teams to integrate AI models into production systems.
- Conduct data analysis, feature engineering, and model training using large datasets.
- Stay up-to-date with the latest trends in AI/ML and implement state-of-the-art techniques.
- Troubleshoot and optimize existing AI models to improve performance.
- Develop and maintain robust, scalable AI systems.
- Provide mentorship and guidance to junior AI engineers and data scientists.
Required Skills and Qualifications :
- 5+ years of experience in AI/ML engineering or a related field.
- Proficient in programming languages such as Python, Java, or R.
- Experience with popular AI/ML libraries and frameworks (TensorFlow, PyTorch, Keras, Scikit-learn).
- Strong understanding of machine learning algorithms, deep learning, reinforcement learning, and natural language processing (NLP).
- Hands-on experience with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models.
- Strong background in data manipulation, data wrangling, and data visualization.
- Experience with database technologies (SQL, NoSQL) and big data tools (Spark, Hadoop).
- Solid understanding of AI ethics, privacy, and fairness.
- Excellent problem-solving skills and the ability to think critically.
Preferred Qualifications :
- Master's degree or higher in Computer Science, Engineering, or a related field.
- Experience with AI model deployment, scaling, and monitoring in production environments.
- Knowledge of computer vision, speech recognition, or advanced NLP techniques.
- Experience with containerization technologies such as Docker and Kubernetes.
Functional Areas: Other
Read full job description5-7 Yrs