Artificial Intelligence/Machine Learning Engineer
1 month ago
Job Title: Artificial Intelligence/Machine Learning Engineer
Job Summary:
We are seeking a highly skilled AI and Machine Learning Engineer to develop and implement AI and machine learning solutions on cloud-based platforms. The ideal candidate will have a strong background in machine learning, deep learning, and software engineering, with experience in cloud deployment and data visualization.
Key Responsibilities:
- Develop AI and machine learning solutions on cloud-based platforms.
- Identify, access, import, clean, and format data from various sources.
- Implement research findings and custom models effectively.
- Construct backend systems to interface with other microservices.
- Train and optimize machine learning models for optimal performance.
- Engineer scalable machine intelligence systems and infrastructure for real-world deployment.
- Justify the application of AI/ML solutions based on problem statements.
- Prototype solutions efficiently and deliver results promptly.
- Manipulate data using SQL and scripting languages.
- Collaborate with internal and external teams to design and deploy AI and ML solutions.
- Explore emerging AI and machine learning trends and develop prototypes.
- Demonstrate effective communication and teamwork skills.
Experience and Qualifications:
- Proven experience in leading AI projects.
- Proficiency in cloud deployment of AI solutions (AWS, GCP, or Azure).
- Familiarity with Lang chain, advanced RAG applications, and Vector database.
- Experience in developing advanced Gen AI solutions.
- Strong analytical skills including data pre-processing and various ML techniques.
- Expertise in model building, optimization, and data visualization.
- Knowledge of major ML algorithms for Natural Language Processing, Computer Vision & Graph Networks.
- Hands-on experience with cloud platforms like AWS/Microsoft Azure.
- Proficient in SQL query development.
- Familiarity with data platforms such as Snowflake is advantageous.
- Knowledge of MLOps (Machine Learning Operations) is a plus.
- Experience in advanced Computer Vision model development is beneficial.
- Practical experience in deep learning projects is highly valued.
- Ability to enhance the accuracy, runtime, scalability, and reliability of machine intelligence systems.
- Proficient in understanding underlying mathematical concepts and algorithms.
- Enthusiasm for continuous learning of state-of-the-art techniques in ML/Data science.
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