CurveAi is a cutting-edge technology company that leverages the power of artificial intelligence to drive innovation. We’re seeking a highly skilled Generative AI Engineer to join our team and help us push the boundaries of what’s possible.
Job Summary:
We’re looking for a talented Generative AI Engineer to design, develop, and deploy generative AI models that can create high-quality, engaging content. The ideal candidate will have a strong background in machine learning, natural language processing, and software engineering.
Responsibilities:
Design, develop, and deploy generative AI models using techniques such as GANs, VAEs, and transformers
Work with large datasets to train and fine-tune models for specific tasks such as text generation, image synthesis, and language translation
Collaborate with cross-functional teams to integrate generative AI models into larger products and services
Stay up-to-date with the latest advancements in generative AI and apply this knowledge to improve our products and services
Write clean, efficient, and well-documented code in languages such as Python, TensorFlow, and PyTorch
Requirements:
Master’s or Ph.D. in Computer Science, Machine Learning, or a related field
3+ years of experience in generative AI, machine learning, or a related field
Strong background in deep learning frameworks such as TensorFlow, PyTorch, or Keras
Experience with natural language processing and computer vision tasks
Excellent programming skills in languages such as Python, Java, or C++
Strong understanding of software engineering principles and practices
Nice to Have:
Experience with cloud-based platforms such as AWS, Azure, or Google Cloud
Knowledge of containerization using Docker and Kubernetes
Familiarity with agile development methodologies such as Scrum or Kanban
What We Offer:
Competitive salary and benefits package
Opportunity to work on cutting-edge AI projects
Collaborative and dynamic work environment
Professional development and growth opportunities
How to Apply:
If you’re passionate about generative AI and want to join a team of innovators, please submit your resume by clicking “Apply now”
CurveAi is a pioneering AI company that harnesses the power of data to drive innovation. We’re seeking an experienced Chief Data Officer to lead our data strategy and drive business growth.
Job Summary:
As our CDO, you will be responsible for developing and implementing a comprehensive data strategy that aligns with our AI-driven business goals. You will lead our data team, oversee data governance, and ensure data quality, security, and compliance.
Key Responsibilities:
Develop and execute a data strategy that supports our AI business objectives
Lead and manage a team of data professionals, including data scientists, engineers, and analysts
Establish data governance policies, procedures, and standards
Ensure data quality, integrity, and security across the organisation
Oversee data management, storage, and retrieval systems
Collaborate with cross-functional teams to integrate data insights into AI products and services
Stay up-to-date with industry trends, technologies, and best practices in data management and AI
Requirements:
10+ years of experience in data management, analytics, or a related field
5+ years of experience in a leadership role, preferably as a CDO or similar position
Strong background in data governance, data quality, and data security
Experience with AI and machine learning technologies
Excellent leadership, communication, and collaboration skills
Strong understanding of data management technologies, such as databases, data warehousing, and big data platforms
Nice to Have:
Experience with cloud-based data platforms, such as AWS, Azure, or Google Cloud
Knowledge of data privacy regulations, such as GDPR and CCPA
Familiarity with agile development methodologies and DevOps practices
What We Offer:
Competitive salary and benefits package
Opportunity to lead a high-performing data team
Collaborative and dynamic work environment
Professional development and growth opportunities
Chance to shape the data strategy of a pioneering AI company
How to Apply:
If you’re a seasoned data leader passionate about AI, please submit your resume by clicking “Apply Now”
CurveAi is a leading company that leverages data-driven insights to drive innovation and growth. We’re seeking a talented Data Scientist to join our team and help us uncover hidden patterns and opportunities.
Job Summary:
As a Data Scientist, you will be responsible for collecting, analyzing, and interpreting complex data to inform business decisions and drive strategic initiatives. You will work closely with cross-functional teams to design and implement data-driven solutions that drive business outcomes.
Key Responsibilities:
Collect, process, and analyze large datasets from various sources
Develop and implement machine learning models and algorithms to solve business problems
Collaborate with stakeholders to identify business needs and develop data-driven solutions
Design and implement data visualizations to communicate insights to non-technical stakeholders
Stay up-to-date with industry trends, technologies, and methodologies in data science
Develop and maintain databases, data systems, and data pipelines
Requirements:
Bachelors or Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related field
3+ years of experience in data science, machine learning, or a related field
Strong background in programming languages such as Python, R, or SQL
Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch
Excellent data visualization skills using tools such as Tableau, Power BI, or D3.js
Strong understanding of statistical modeling, data mining, and data visualization
Nice to Have:
Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud
Knowledge of big data technologies such as Hadoop, Spark, or NoSQL databases
Familiarity with agile development methodologies and version control systems such as Git
Experience with data storytelling and presentation to non-technical stakeholders
What We Offer:
Competitive salary and benefits package
Opportunity to work on high-impact projects and drive business outcomes
Collaborative and dynamic work environment
Professional development and growth opportunities
Access to cutting-edge technologies and tools
How to Apply:
If you’re a passionate data scientist looking to drive business impact, please submit your resume by clicking on “Apply Now”.
Curve AI is a pioneering AI company that harnesses the power of data to drive innovation. We’re seeking a skilled Data Engineer to join our team and help us build scalable data pipelines and architectures.
Job Summary:
As a Data Engineer at Curve AI, you will be responsible for designing, building, and maintaining large-scale data systems that support our AI applications. You will work closely with data scientists, product managers, and other stakeholders to ensure seamless data flow and drive business growth.
Key Responsibilities:
Design, build, and maintain scalable data pipelines and architectures
Develop and implement data processing and storage solutions using technologies such as Apache Beam, Apache Spark, and cloud-based data warehouses
Collaborate with data scientists to integrate machine learning models into data pipelines
Ensure data quality, integrity, and security across all data systems
Optimize data systems for performance, scalability, and reliability
Stay up-to-date with industry trends, technologies, and best practices in data engineering
Requirements:
Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field
4+ years of experience in data engineering, software engineering, or a related field
Strong background in programming languages such as Java, Python, or Scala
Experience with big data technologies such as Hadoop, Spark, and NoSQL databases
Knowledge of cloud-based data platforms such as AWS, Azure, or Google Cloud
Excellent problem-solving skills and attention to detail
Nice to Have:
Experience with containerization using Docker and Kubernetes
Familiarity with agile development methodologies and version control systems such as Git
Knowledge of data governance and data security best practices
Experience with data warehousing and ETL tools such as Apache NiFi or Talend
What We Offer:
Competitive salary and benefits package
Opportunity to work on cutting-edge AI projects
Collaborative and dynamic work environment
Professional development and growth opportunities
Access to cutting-edge technologies and tools
How to Apply:
If you’re a passionate data engineer looking to drive innovation, please submit your resume by clicking on “Apply Now”
