Data Scientist

Sciens Software Technologies; Hyderabad; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Sciens Software Technologies is seeking an experienced AI/ML Engineer to design and implement AI applications using cutting-edge LLM technologies. You will develop end-to-end solutions for LLM integration, fine-tuning, and deployment.

The role focuses on optimizing model performance, building robust data pipelines, and applying advanced prompt engineering and RAG techniques while mentoring junior developers and collaborating with cross-functional teams.

Qualifications

• 5+ years of software development experience with at least 3 years focused on AI/ML technologies.
• Strong experience with transformer-based models and LLM APIs; proficiency in Python and AI/ML frameworks like PyTorch, TensorFlow, Hugging Face.
• Experience with vector databases and semantic search technologies; solid understanding of prompt engineering, RAG, and fine-tuning techniques.
• Familiarity with cloud platforms (AWS, Azure, GCP) for AI model deployment; strong problem-solving and attention to detail.
• Experience with LLM optimization techniques like quantization and distillation.
• Knowledge of AI evaluation metrics and benchmarking; understanding of multimodal AI systems (text, image, audio).
• Experience with Docker and Kubernetes; contributions to open-source AI projects or research publications; awareness of responsible AI development.

Responsibilities

• Design and implement AI applications using state-of-the-art LLM technologies.
• Develop solutions for LLM integration, fine-tuning, and deployment.
• Optimize model performance, latency, and resources.
• Build and maintain data pipelines for training and inference.
• Implement advanced prompt engineering and RAG techniques.
• Develop evaluation frameworks for AI system performance.
• Collaborate with cross-functional teams and mentor juniors.
• Participate in code reviews and uphold best practices.

Skills

AI/ML experience

Transformer models

Python programming

Prompt engineering

RAG

Model deployment

Data pipelines

Cloud platforms

Education

Bachelor's degree in CS/AI/ML

Master's in AI / B.Tech / MCA

Tools

PyTorch

TensorFlow

Hugging Face

Vector databases

Semantic search

AWS

Azure

GCP

Docker

Kubernetes

Job description

Key Responsibilities:-

• Design and implement sophisticated AI applications leveraging state-of-the-art LLM technologies
• Develop efficient solutions for LLM integration, fine-tuning, and deployment
• Optimize model performance, latency, and resource utilization
• Build and maintain robust data pipelines for training and inference
• Implement advanced prompt engineering techniques and retrieval-augmented generation (RAG)
• Develop evaluation frameworks to measure AI system performance and output quality
• Collaborate with cross-functional teams to understand requirements and deliver solutions
• Mentor junior developers and share AI/LLM knowledge across the organization
• Participate in code reviews and ensure adherence to best practices

Role Requirement :-

• 5+ years of software development experience with at least 3 years focused on AI/ML technologies
• Strong experience working with transformer-based models and LLM APIs Proficiency in Python and relevant AI/ML frameworks (PyTorch, TensorFlow, Hugging Face)
• Experience with vector databases and semantic search technologies Solid understanding of prompt engineering, RAG, and fine-tuning techniques
• Familiarity with cloud platforms (AWS, Azure, GCP) for AI model deployment Strong problem-solving skills and attention to detail.'
• Experience with LLM optimization techniques like quantization and distillation
• Knowledge of AI evaluation metrics and benchmarking methodologies Understanding of multimodal AI systems (text, image, audio)
• Experience with containerization and orchestration tools (Docker, Kubernetes)
• Contributions to open-source AI projects or research publications Familiarity with AI ethics and responsible AI development

Qualifications:-

• Bachelors degree in computer science, AI, Machine Learning, or related field
• Master's in AI, B,Tech,MCA, or related field