We re on the lookout for someone with a profound understanding of AI/ML, especially natural language processing, who can leverage advanced tools like LangChain to craft applications that tap into the formidable capabilities of generative models. As a key member of our Product Team, youll collaborate closely with our Data Engineering and Software Engineering squads, seamlessly integrating AI innovations into our broad system architecture.
Key Responsibilities:
Core Development : Spearhead the design, development, and deployment of generative AI models with a focus on natural language understanding and processing.
Tool Utilization and Contribution : Engage with and contribute to libraries and frameworks such as LangChain, ensuring our application development is as efficient as it is innovative.
Collaboration : Ensure a smooth partnership with Data Engineering and Software Engineering teams for flawless integration of AI models into production systems.
Continuous Learning : Keep up with the rapid advancements in AI/ML, including emerging tools, libraries, and best practices, applying this knowledge to propel our projects forward.
Ethics in AI : Champion ethical AI development, prioritizing fairness, unbiased outcomes, and privacy.
Skills and Qualifications:
Machine Learning and NLP Expertise : Your background in machine learning and deep learning, particularly in neural networks and NLP, sets the foundation for success.
Technical Proficiency : With Python fluency and familiarity with AI/ML libraries and tools, including LangChain, OpenAIs GPT, TensorFlow, and PyTorch, you re equipped to innovate.
Distributed Computing : Experience with distributed computing for AI is essential, as is the ability to navigate the complexities of GPU or TPU utilization.
Software Engineering Know-How : A strong grasp of software engineering practices, from version control to CI/CD pipelines, ensures quality and efficiency.
Problem-Solving and Collaboration : Exceptional problem-solving skills, innovative thinking, and the ability to collaborate effectively across teams are crucial.
Ethical Framework : A solid understanding of ethical AI principles underpins everything we do.
Tool Competency : Proficiency in Google Colab and Postman or similar API platforms is vital for prototyping and testing AI models.
Good-to-Haves: Project Enrichments:
R&D Innovation : Engage in research and development activities, exploring avant-garde ways to leverage generative AI for business and product innovation.
AI Leadership : Offering technical leadership in AI/ML can greatly enhance our journey towards achieving project goals with excellence.
Additional Qualifications:
Educational Excellence : An advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field is valued.
Open Source Contribution : Contributions to open-source AI/ML projects reflect a commitment to the broader AI community.
Domain Expertise : Knowledge specific to our project domains (e.g., healthcare, finance, law) can significantly guide AI application development.
Leadership Experience : Previous leadership roles in AI/ML projects or teams can contribute to your success and growth with us.
