Very Urgent : AI Specialist / Gen AI Specialist with LLM
Company : AurumData Solutions
Experience : 8+years
Location : Hyderabad
Job Mode : Permanent
Work Type : Work From Office
Key Skills : AI/GenAI, LLM, RAG,NLP, Python, ML/DL, TensorFlow, PyTorch, Scikit-learn, cloud platforms (AWS, GCP, or Azure)
AI Specialist Job Description :
We are seeking an experienced AI Specialist to develop, implement, and optimize artificial intelligence (AI) and machine learning (ML) models. The ideal candidate will have a strong background in AI, deep learning, natural language processing (NLP), and data science. This role involves collaborating with cross-functional teams to integrate AI-driven solutions into business processes, enhancing efficiency, automation, and decision-making.
Required Skills & Qualifications :
- Bachelor's or Masters degree in Computer Science, AI, Machine Learning, Data Science, or a related field.
- 5+ years of experience in AI/ML development and deployment.
- Proficiency in programming languages such as Python, R, or Java.
- Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
- Strong understanding of deep learning architectures (CNNs, RNNs, Transformers, GANs).
- Experience with NLP, speech recognition, or computer vision.
- Knowledge of cloud-based AI services (AWS SageMaker, GCP AI, Azure ML).
- Familiarity with big data technologies (Hadoop, Spark, Kafka) is a plus.
- Strong problem-solving skills and the ability to work in a collaborative environment.
- Excellent communication skills to convey AI concepts to non-technical stakeholders.
- Design, develop, and deploy AI/ML models to solve complex business problems.
- Implement machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning.
- Work with large datasets to extract insights and build predictive models.
- Develop AI-powered applications, including chatbots, recommendation systems, and computer vision solutions.
- Collaborate with data scientists, engineers, and business analysts to align AI solutions with business needs.
- Optimize AI models for performance, scalability, and accuracy.
- Conduct research on emerging AI technologies and recommend their adoption.
- Ensure AI solutions comply with ethical AI principles, privacy regulations, and security guidelines.
- Use cloud platforms (AWS, GCP, or Azure) to deploy and manage AI models.
- Continuously monitor and improve AI models based on real-world feedback and data.
Preferred Qualifications :
- AI certifications (Google Professional ML Engineer, AWS Certified ML Specialist, etc.).
- Experience in AI-driven automation and decision intelligence.
- Knowledge of edge AI and federated learning techniques.