Artificial Intelligence Developer for Decision Management Solutions
2 weeks ago
We are seeking a skilled Artificial Intelligence (AI) Developer to join our team at Decision Management Solutions. The successful candidate will be responsible for designing and implementing AI models using Python, focusing on leveraging various large language and statistical models.
This is an excellent opportunity for individuals with strong proficiency in Python and machine learning frameworks, hands-on experience with Large Language Models (LLMs), and familiarity with tools like WatsonX, LangChain, and Azure Machine Learning.
About the RoleAs an AI Developer, you will work closely with our product and engineering teams to design, develop, and deploy AI-powered solutions that meet our clients' complex needs. You will stay abreast of the latest AI trends and technologies to ensure our solutions remain cutting-edge.
The ideal candidate will have a proven track record of developing applications integrating both statistical and AI-based models, with a focus on innovation and problem-solving.
Responsibilities- Design and implement AI models using Python, focusing on leveraging various large language and statistical models.
- Work with AI technologies to develop innovative solutions for real-world problems.
- Collaborate with cross-functional teams to integrate AI/ML models into applications, ensuring they are scalable, efficient, and effective.
- Strong proficiency in Python and machine learning frameworks (PyTorch/TensorFlow).
- Hands-on experience with LLMs (Large Language Models) and other neural networks.
- Familiarity with some of the following tools: WatsonX, LangChain, Watson Studio, Azure Machine Learning, AWS Sagemaker, Amazon Bedrock, Git, Docker.
- Proven track record of developing applications integrating both statistical and AI-based models.
We offer a competitive salary range of $120,000 - $180,000 per year, depending on experience, as well as a comprehensive benefits package, including health insurance, retirement plan, and paid time off.
Pune, Maharashtra, India is the preferred location for this role. Candidates must be able to commute to Pune or work from home.
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