ACube Technologies

Role & responsibilities :

- Design and development of AI/ML models to address business challenges and opportunities.

- Write clean, efficient, and well-documented code using Python to ensure scalability and maintainability.

- Responsible for designing, crafting, and optimizing prompts that guide our AI systems to generate accurate, informative, and creative outputs automating repetitive tasks and Fine-tuning prompts.

- This role demands a unique blend of creative writing skills, technical expertise, and analytical thinking to push the boundaries of AI-powered language generation.

- Design, develop, and maintain RESTful APIs using Python and popular frameworks such as Flask, Django, or FastAPI.

- Develop and fine-tune Generative AI models, including but not limited to OpenAI's GPT series, Anthropic's Claud, Llama, and similar models.

- Work with vector databases such as Faiss, Pinecone, or similar libraries for efficient storage and retrieval of high-dimensional data.

- Design and optimize prompts to elicit desired responses from Generative AI models.

- Expertise in Natural Language Processing (NLP) and a strong background in computer vision, recommendation systems and sentiment analysis.

- Experience with MLOps practices, containerization, and CI/CD pipelines.

- Work closely with product managers and business stakeholders to understand their requirements and develop AI/ML solutions that meet their needs, balancing technical feasibility with business objectives.

- Help ensure the security and privacy of user data by implementing appropriate safeguards and staying informed on industry best practices.

Qualifications :

- 4+ years of total experience in software product development, with at least 2 years of relevant technical expertise in Generative AI, LLM, NLP, Fast / Flask REST APIs, Any RDMS(PostgreSQL / MySQL).

- Multiple years experience building and supporting multi-tenant SaaS applications at scale.

- A postgraduate degree with strong experience in research, or equivalent job experiences with a proven track record of successful outcomes.

- Hands-on experience developing AI/ML models in real-world environments and integrating AI/ML using cloud-native or hybrid technologies into large-scale enterprise applications is a plus.

- Good with both SQL and NoSQL databases and technologies.