
Senior AI Developer
8 hours ago
We are seeking a Senior Data Scientist to fill a key role in our AI and Data Science team.
Responsibilities:- Design, develop, and implement AI/ML solutions involving Generative AI, LLMs, VLMs, Computer Vision, Time-Series forecasting, and Data Analytics.
- Build system architectures, data pipelines, algorithms, and machine learning models to solve complex business challenges based on client requirements and research.
- Collaborate with product managers, data engineers, and software developers to integrate and deploy AI components into scalable, production-ready solutions.
- Conduct research and stay up-to-date with emerging AI trends, tools, and frameworks to enhance project outcomes continually.
- Perform data wrangling, data engineering, and ML model deployment in cloud or on-prem environments.
- Participate in problem modeling, creative algorithm design, and efficient system implementation while maintaining strong communication with technical and non-technical stakeholders.
Requirements:
- Bachelor's or Master's degree (preferred) in Computer Science, Data Science, Software Engineering, Artificial Intelligence, Electrical Engineering, or a related field.
- 3+ years of professional experience in Data Science, Machine Learning, and Artificial Intelligence roles.
- Proficiency in Python programming, problem-solving, and algorithm design.
- Strong knowledge of Machine Learning and Deep Learning theories and implementations, with hands-on experience using libraries like Scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers.
- Practical experience in Generative AI, LLMs, NLP, including working with frameworks like LangChain, LlamaIndex, Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents, and model fine-tuning.
- Experience in Computer Vision, classical image processing, CNNs, Vision Transformers, and Vision-Language Models for tasks such as Image Classification, Object Detection, and Image Segmentation.
- Competency in Data Wrangling, Data Engineering, Data Analysis, Statistics, and Data Visualization.
- Familiarity with additional AI domains like Time-Series Analysis, Recommendation Systems, Speech Processing, Reinforcement Learning, and Image Generation is a plus.
- Strong problem modeling and system design skills, with the ability to translate complex business problems into AI-based solutions.
- Excellent communication and collaboration skills, with a proactive mindset and a passion for staying ahead of AI advancements.
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