Role Overview:
As a Python Developer specializing in AI, you will be at the forefront of building intelligent systems that transform complex data into actionable business insights. You will collaborate closely with cross-functional teams, including data scientists, product managers, and engineering stakeholders, to design and deploy scalable machine learning models and generative AI applications. Your work will directly influence the end-user experience by integrating advanced NLP and RAG architectures into our core product suite, ensuring our solutions remain at the cutting edge of the industry.
This position offers the flexibility to work from anywhere in India, allowing you to contribute to high-impact projects within a dynamic, distributed environment.
Key Responsibilities:
- Architect and implement robust AI pipelines using Python to automate data processing and model training, ensuring high performance and scalability for our enterprise clients.
- Develop and fine-tune Generative AI models and RAG frameworks to enhance the accuracy and relevance of automated customer interactions.
- Collaborate with engineering teams to integrate machine learning models into production environments, directly improving the efficiency of our data-driven decision-making processes.
- Optimize deep learning workflows using PyTorch and TensorFlow to reduce latency and improve the computational efficiency of our predictive analytics tools.
- Design and execute prompt engineering strategies to maximize the utility of Large Language Models, delivering superior output quality for internal and external stakeholders.
- Maintain high standards of code quality and documentation to facilitate seamless knowledge sharing and long-term maintainability across the technical organization.
Required Skillset:
- Demonstrated expertise in Python development, with a deep understanding of data structures and algorithms to build efficient, production-grade AI solutions.
- Proven ability to leverage the modern AI stack, including Scikit-Learn, Pandas, and Numpy, to perform complex data manipulation and statistical analysis.
- Advanced proficiency in building and deploying NLP-based applications, specifically utilizing LangChain and RAG methodologies to solve real-world information retrieval challenges.
- Strong command over Deep Learning frameworks such as PyTorch and TensorFlow, with the ability to translate research-level concepts into scalable software components.
- Hands-on experience with AWS cloud services to manage model deployment, infrastructure scaling, and data storage in a distributed, remote-first environment.
- Exceptional communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders and work effectively within a collaborative, remote team structure.
- A solid academic foundation in Computer Science, Data Science, or a related quantitative field, complemented by a proactive approach to learning new technologies in the rapidly evolving AI landscape.
Damco Solutions