Job Summary

Startup Inno is seeking a highly skilled and innovative Senior Data Scientist specializing in Generative AI (GenAI) and Large Language Model (LLM) fine-tuning. In this strategic role, you will lead the design, development, and optimization of advanced AI models that power next-generation intelligent products. You will collaborate closely with cross-functional teams including engineering, product, and research to translate business needs into scalable AI solutions.

The ideal candidate combines strong theoretical knowledge with hands-on experience in deep learning, model fine-tuning, and production deployment. If you are passionate about pushing the boundaries of AI and building impactful solutions, we encourage you to apply.

Key Responsibilities

• Lead end-to-end development of GenAI and LLM-based solutions from research to production.

• Fine-tune large language models using domain-specific datasets and advanced training techniques.

• Design prompt engineering strategies and evaluation frameworks for model performance.

• Build scalable data pipelines for preprocessing, training, and inference workflows.

• Collaborate with product managers and engineers to integrate AI capabilities into applications.

• Optimize models for latency, cost efficiency, and real-world performance.

• Conduct experiments, A/B testing, and model benchmarking.

• Ensure responsible AI practices including bias mitigation, safety, and compliance.

• Mentor junior data scientists and contribute to AI best practices within the organization.

• Stay current with the latest advancements in GenAI, LLMs, and deep learning research.

Required Skills and Qualifications

• Masters or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related field.

• Strong programming proficiency in Python.

• Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow.

• Proven expertise in fine-tuning large language models (e.g., GPT-style, transformer-based models).

• Experience with prompt engineering, RLHF, LoRA, PEFT, or similar techniques.

• Solid understanding of NLP, transformers, embeddings, and vector databases.

• Experience with cloud platforms (AWS, GCP, or Azure).

• Familiarity with MLOps practices and model deployment pipelines.

• Strong analytical thinking and problem-solving skills.

• Excellent written and verbal communication skills.

Experience

• 5+ years of experience in Data Science, Machine Learning, or AI roles.

• Minimum 2+ years working specifically with GenAI or LLM technologies.

• Demonstrated experience deploying ML models into production environments.

• Experience in startup or fast-paced environments is a strong plus.

• Publications or open-source contributions in AI/ML are desirable.

Working Hours

• Full-time position.

• Flexible working hours with overlap required for core team collaboration.

• Remote or hybrid work options available depending on location and project needs.

Knowledge, Skills, and Abilities

• Deep understanding of transformer architectures and modern NLP techniques.

• Ability to work with large-scale datasets and distributed training systems.

• Strong experimentation mindset with attention to detail.

• Capability to translate business problems into AI-driven solutions.

• High ownership, accountability, and ability to work independently.

• Strong collaboration skills in cross-functional environments.

• Commitment to ethical and responsible AI development.

Benefits

• Competitive salary and performance-based bonuses.

• Flexible remote/hybrid work environment.

• Health and wellness benefits package.

• Learning and development budget for courses and conferences.

• Opportunity to work on cutting-edge GenAI products.

• Collaborative and innovation-driven culture.

• Paid time off and company holidays.

• Career growth opportunities in a fast-scaling startup.

Why Join Startup Inno

At Startup Inno, you will work at the forefront of artificial intelligence innovation. We are building transformative AI solutions that impact real users and industries. You will join a high-caliber team that values experimentation, ownership, and continuous learning. If you thrive in fast-moving environments and want your work to shape the future of GenAI, Startup Inno offers the platform and support to accelerate your career.

How to Apply

Interested candidates should submit their updated resume along with a brief cover letter highlighting relevant GenAI and LLM experience. Include links to GitHub, publications, or portfolio projects if available. Shortlisted candidates will be contacted for the next steps in the selection process.