Data Scientist

We are seeking a talented Data Scientist with 3 to 6 years of experience to join our AI/ML team. The ideal candidate will have hands-on experience in multi-model implementation, strong Python programming skills, and expertise in working with large language models (LLMs), including prompt engineering, optimization, and fine-tuning. Exposure to Retrieval-Augmented Generation (RAG) workflows and strong data handling capabilities are essential.

Key Responsibilities:

• Design and implement multi-model AI/ML solutions.
• Develop and maintain efficient Python code for data analysis and model development.
• Create, refine, and optimize prompts for LLMs.
• Fine-tune large language models for custom applications.
• Work with RAG architectures to enhance response accuracy and relevance.
• Analyze and manage structured and unstructured datasets.
• Collaborate with product, engineering, and data teams to deploy AI solutions.

Required Skills:

• 3 to 6 years of experience in Data Science
• Multi-model implementation experience
• Strong Python programming skills
• Prompt Engineering & Prompt Optimization
• LLM Fine-tuning (e.g., GPT, LLaMA, Falcon)
• Exposure to RAG (Retrieval-Augmented Generation)
• Solid data analysis and data handling experience

Nice to Have:

• Experience with cloud platforms (AWS, GCP, Azure)
• Familiarity with vector databases (e.g., FAISS, Pinecone)

Benefits:

• Competitive salary and performance-based bonuses.
• Comprehensive health insurance.
• Paid time off and flexible working hours.
• Professional development opportunities and support for continuing education.
• Udemy Learning Licenses to enhance skills and stay up-to-date with the latest technology.

P99soft is an equal-opportunity employer:

P99soft is an equal-opportunity employer. At P99soft, we are committed to providing equal employment opportunities regardless of job history, disability, gender identity, religion, race, color, caste, marital/parental status, veteran status, or any other special status. We stand against the discrimination of employees and individuals and are proud to be an equitable workplace that welcomes individuals from all walks of life if they fit the designated roles and responsibilities.