GenAI Engineer
UsefulBI Corporation · Bengaluru, Karnataka, India
- On site
- Full-time
- $120,000 / year
- Bengaluru, Karnataka, India
Job highlights
- Develop and deploy data-driven applications.
- Build and optimize machine learning models.
- Utilize Python for data analysis and modeling.
- Work with large datasets and ensure quality.
- Collaborate with cross-functional teams.
About the role
GenAI Engineer
UsefulBI Corporation is seeking a talented GenAI Engineer to join our innovative team. This role involves working on cutting-edge data analysis, modeling, and the development of scalable data solutions.
Responsibilities
- Work on data analysis, modeling, and building scalable data solutions.
- Develop and deploy data-driven applications using Python.
- Perform data cleaning, feature engineering, and exploratory data analysis.
- Build and optimize machine learning models for business use cases.
- Collaborate with cross-functional teams to understand requirements and deliver solutions.
- Work with large datasets and ensure data quality and integrity.
Requirements
- Strong hands-on experience in Python (mandatory).
- Good understanding of data structures, algorithms, and coding practices.
- Experience with libraries like Pandas, NumPy, etc.
- Solid problem-solving and analytical skills.
Good To Have
- Experience in Machine Learning (ML) concepts and model building.
- Exposure to Generative AI (GenAI) / LLMs.
- Knowledge of frameworks like TensorFlow / PyTorch / Scikit-learn.
- Experience with APIs, data pipelines, or cloud platforms (AWS/Azure/GCP).
Preferred
- Experience working in real-world data science projects.
- Understanding of end-to-end model lifecycle.
Key skills/competency
- GenAI Engineer
- Python
- Data Analysis
- Machine Learning
- Data Modeling
- Data Pipelines
- Cloud Platforms
- Scalable Solutions
- Feature Engineering
- Problem-Solving
Skills & topics
- GenAI Engineer
- Python
- Machine Learning
- Data Analysis
- Data Modeling
- Generative AI
- LLMs
- Data Science
- TensorFlow
- PyTorch
- Scikit-learn
- Cloud Platforms
- AWS
- Azure
- GCP
- Data Pipelines
- Software Engineer
How to get hired
- Tailor your resume: Highlight Python proficiency and GenAI/ML experience.
- Showcase projects: Detail relevant data science and model-building accomplishments.
- Prepare for technical questions: Review Python, data structures, and algorithms.
- Demonstrate problem-solving: Be ready to discuss analytical and coding challenges.
- Connect with Chetna Joshi: Reach out on LinkedIn for insights.
Technical preparation
Master Python for data manipulation.,Review data structures and algorithms.,Practice ML model building.,Familiarize with GenAI concepts.
Behavioral questions
Describe a complex data problem solved.,How do you handle project requirement changes?,Explain your collaboration with other teams.,How do you ensure data quality?
Frequently asked questions
- What specific Generative AI (GenAI) or LLM experience is most valued for the GenAI Engineer role at UsefulBI Corporation?
- For the GenAI Engineer position at UsefulBI Corporation, direct experience with Generative AI concepts and Large Language Models (LLMs) is highly valued. This includes understanding how to fine-tune, deploy, and integrate LLMs into business applications, as well as familiarity with relevant frameworks like TensorFlow, PyTorch, or specific GenAI libraries.
- Is strong Python experience a strict requirement for the GenAI Engineer role at UsefulBI Corporation?
- Yes, strong hands-on experience in Python is a mandatory requirement for the GenAI Engineer role at UsefulBI Corporation. Proficiency in Python is crucial for developing and deploying data-driven applications and for working with data analysis and machine learning libraries.
- What kind of data analysis and modeling skills are expected from a GenAI Engineer at UsefulBI Corporation?
- A GenAI Engineer at UsefulBI Corporation is expected to perform comprehensive data analysis, including cleaning, feature engineering, and exploratory data analysis. They should also be skilled in data modeling and building scalable data solutions, with the ability to optimize machine learning models for specific business use cases.
- How important is experience with cloud platforms like AWS, Azure, or GCP for this GenAI Engineer position?
- While not strictly mandatory, experience with cloud platforms such as AWS, Azure, or GCP is considered a 'Good To Have' for the GenAI Engineer role at UsefulBI Corporation. Familiarity with these platforms is beneficial for deploying and scaling data-driven applications and machine learning models.
- Can you provide more detail on what UsefulBI Corporation looks for in real-world data science projects for their GenAI Engineers?
- UsefulBI Corporation seeks candidates with practical experience in real-world data science projects. This implies a demonstrated ability to apply theoretical knowledge to solve actual business problems, manage the end-to-end model lifecycle, and deliver tangible results using data and AI technologies.
- What is the typical collaboration process for a GenAI Engineer at UsefulBI Corporation with other teams?
- GenAI Engineers at UsefulBI Corporation collaborate closely with cross-functional teams. This involves understanding their specific business requirements and translating them into effective data-driven solutions. Clear communication and teamwork are essential for successful project delivery.
- Are there specific coding practices or data structure knowledge that UsefulBI Corporation emphasizes for GenAI Engineers?
- UsefulBI Corporation values a good understanding of data structures, algorithms, and solid coding practices for its GenAI Engineers. This ensures the development of efficient, scalable, and maintainable data solutions and applications.