AboutSyncIQ.ai:

SyncIQ.ai is at the forefront of transforming business processes through advanced AI and automation. Our proprietary multi-agent workflow framework seamlessly integrates with organizational data to create context-aware AI agents capable of autonomously executing complex tasks. Committed to revolutionizing the future of work, we leverage cutting-edge technologies to drive innovation and efficiency. Join us on our mission to redefine how businesses operate.

Job Description:

We are seeking a highly skilled and innovativeAI Research Scientist specializing inGenerative AI to join our dynamic team. The ideal candidate will focus on staying ahead of the curve in GenAI research, implementing the latest advancements, and translating them into practical solutions for complex business challenges. This role emphasizes research, experimentation, and the application of new GenAI techniques, including novel Retrieval-Augmented Generation (RAG) methods, structured outputs from GenAI models, and other specialized models. You will also collaborate closely with our engineering and MLOps teams to deploy these solutions effectively.

Key Responsibilities:

Research and Innovation: Stay up-to-date with the latest research in Generative AI, NLP, and related fields to identify new methodologies and techniques applicable to our projects.
Implement Advanced GenAI Techniques: Apply cutting-edge GenAI research findings to develop innovative solutions, such as new types of RAG, structured outputs, and specialized models.
Prototype Development: Build prototypes to test and validate new concepts, ensuring they effectively address specific business problems.
Fine-Tuning Models: Fine-tune pre-trained models when necessary to optimize performance for domain-specific tasks.
Task Runner Development: Develop and enhance task runners that perform specialized tasks within our multi-agent framework.
Collaboration with Engineering/MLOps Teams: Work closely with engineering and MLOps teams to deploy models and solutions, ensuring scalability and integration within existing systems.
Problem Solving: Translate complex business problems into well-defined AI solutions, leveraging the latest in GenAI research.
Documentation and Communication: Document methodologies and communicate findings to both technical and non-technical stakeholders, fostering a collaborative environment.

Education: Master's or Ph.D. in Machine Learning, Natural Language Processing, or related fields.
Experience: 5-6 years in AI research, NLP, Machine Learning, or related fields.
GenAI Expertise: Deep understanding of NLP AI models and techniques, including experience with models like GPT, T5, BART, etc.
Research Proficiency: Proven ability to read, understand, and implement findings from the latest AI research papers.
Technical Skills: Proficiency with AI/ML frameworks such as PyTorch, TensorFlow, and libraries like Hugging Face Transformers.
Problem-Solving Abilities: Strong skills in conceptualizing and implementing AI solutions to complex problems.
Collaboration Skills: Excellent communication skills with the ability to work effectively in a team environment and collaborate with cross-functional teams.
Deployment Knowledge: Familiarity with working alongside engineering and MLOps teams to deploy models in production environments.

Preferred Qualifications:

Advanced Research Implementation: Experience implementing novel research findings in practical applications.
RAG and Structured Outputs: Familiarity with new types of Retrieval-Augmented Generation and generating structured outputs from GenAI models.
Specialized Models: Experience with domain-specific models or fine-tuning techniques.
Cloud and Big Data: Understanding of cloud-based AI tools and large-scale data processing (deployment skills are a plus but not required).
Vector Databases: Experience with vector databases (e.g., FAISS, Pinecone) to enhance information retrieval in NLP applications.
Multi-Lingual Models: Experience working with multi-lingual models or zero-shot learning techniques.

Innovative Projects: Opportunity to work on groundbreaking GenAI solutions with real-world business applications.
Collaborative Environment: A supportive and innovative work culture that encourages creativity and problem-solving.
Flexible Work Options: Remote work flexibility with the potential for a hybrid setup in the future.
Professional Growth: Opportunities for continuous learning and professional development.

SyncIQ.ai remote jobs

AI ML Engineer

AI Research Scientist

Full Stack Developer