
AI Development Opportunities
15 hours ago
You will be embedded within a team of experienced machine learning engineers and data scientists, responsible for creating and productizing cutting-edge generative AI and deep learning solutions.
- Design, develop and deploy production-ready scalable solutions that leverage GenAI, traditional ML models, data science and ETL pipelines to drive business value.
- Collaborate with cross-functional teams to integrate AI-driven solutions into operations and improve efficiency.
- Build and enhance frameworks for automation, data processing, and model deployment using industry-leading tools and workflows.
- Utilize Gen-AI tools and workflows to enhance the efficiency and effectiveness of AI solutions and drive innovation.
- Stay up-to-date with the latest advancements in generative AI and related technologies through research and continuous learning.
- Deliver key product features within cloud analytics and contribute to the development of AI-powered solutions.
Requirements:
- A Bachelor's or advanced degree in computer science, electrical engineering, statistics or math is essential.
- At least 5 years of experience in data science, computer vision or related domains is required.
- Proven experience with building and deploying generative AI solutions is necessary.
- Strong programming skills in Python and solid fundamentals in computer science, particularly in algorithms, data structures and OOP are required.
- Experience with Gen-AI tools and workflows is preferred.
- Proficiency in both vision-related AI and data analysis using generative AI is essential.
- Experience with cloud platforms and deploying models at scale is required.
- Knowledge of transformer architectures and large language models (LLMs) is beneficial.
- Familiarity with frameworks such as TensorFlow, PyTorch and Hugging Face is preferred.
- Proven leadership and team management skills are necessary.
Desired Skills:
- Working experience with AWS or Azure AI tools is a plus.
- Knowledge of technologies such as Kafka streams, queues and REST API systems is beneficial.
- Programming languages like Python, SQL and C++ are good to have.
- Tools like PyTorch, FastAPI, MLFlow, Hugging face pipelines, Langgraph and OpenAI are preferred.
- Understanding of best practices in software development, including version control, testing and continuous integration is essential.
We offer a dynamic work environment that fosters innovation and collaboration. Our team is committed to staying up-to-date with the latest advancements in AI and related technologies, and we believe in investing in our employees' growth and development.
Our ideal candidate is someone who is passionate about AI development, has a strong technical background, and is eager to contribute to the creation of cutting-edge solutions. If you are motivated by the opportunity to work on challenging projects and collaborate with a talented team, we encourage you to apply.
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