We are seeking a highly skilled and motivated Data Scientist with deep expertise in AI and machine learning to join our growing team. In this role, you will design, develop, and deploy advanced AI solutions to solve complex business problems, working with cutting-edge models and technologies such as LLMs and multimodal architectures. Youll collaborate across functions to drive innovation and deliver real-world impact through intelligent systems.
Key Responsibilities
Design, develop, and deploy AI/ML solutions to address complex business challenges
Fine-tune and optimize pre-trained language models (e.g., LLaMA, Mistral, Falcon) for domain-specific applications
Build and maintain scalable data processing pipelines for model training and inference
Implement model deployment strategies using MLOps best practices
Collaborate with product, engineering, and analytics teams to identify opportunities and deliver AI-powered solutions
Continuously evaluate and improve model performance, accuracy, and efficiency
Stay up to date with the latest research and advancements in machine learning and AI
Required Qualifications
Bachelors degree in Computer Science, Data Science, or a related field
3+ years of experience developing and deploying AI/ML models in production
Strong programming skills in Python and experience with deep learning frameworks such as PyTorch or TensorFlow
Hands-on experience with transformer models and large language models (LLMs)
Proficiency in model optimization techniques including quantization, pruning, and distillation
Experience with MLOps tools and workflows for scalable model deployment
Strong problem-solving abilities and attention to detail
Preferred Qualifications
Masters degree in AI, Machine Learning, or a related field
Experience working with Vision-Language Models (VLMs) for multimodal tasks
Familiarity with vector databases, embeddings, and semantic search techniques
Knowledge of LLM orchestration frameworks such as LangChain or LlamaIndex
Experience implementing Retrieval-Augmented Generation (RAG) pipelines
Proficiency with Docker, Kubernetes, and cloud ML services (AWS, Azure, GCP)
Background in applying AI in industrial, manufacturing, or real-time environments
Why Join Us
Work on cutting-edge AI/ML problems with real-world impact
Collaborative and intellectually curious team
Opportunities for career growth and continuous learning
Flexible work environment and competitive compensation
We offer a competitive salary, commensurate with experience, in the range of 28,000 32,000 annually .