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19 hours ago
This role offers the opportunity to work on cutting-edge AI/ML projects and contribute to the development of innovative machine learning models and AI-driven solutions. As a key member of our team, you will be responsible for designing, developing, and deploying these models, ensuring they meet the highest standards of quality and security.
Key Responsibilities:- Design and develop machine learning models that can accurately identify patterns and relationships in complex data sets.
- Implement Retrieval-Augmented Generation (RAG) pipelines to improve the performance of AI models, integrating vector databases and retrieval models.
- Fine-tune large language models (LLMs) for NLP applications, utilizing transformers and embedding-based search.
- Collaborate with cross-functional teams to define project requirements and ensure seamless integration of AI/ML solutions into business workflows.
- Analyze large-scale datasets, ensuring data privacy, security, and compliance with relevant regulations.
- Develop and deploy secure and scalable ML pipelines, adhering to MLOps best practices.
- Monitor and refine model performance using A/B testing, drift detection, explainability, and adversarial robustness techniques.
- Implement AI security best practices, including adversarial attack detection, model integrity verification, and bias mitigation.
- Stay up-to-date with emerging trends in LLMs, generative AI, retrieval-based AI, and secure AI development methodologies.
- Deploy and manage AI/ML models on cloud platforms, ensuring compliance with secure AI governance frameworks.
- Work with vector databases and retrieval frameworks to improve the performance of AI models.
- 2+ years of experience in AI/ML model development and deployment.
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field.
- Strong programming skills in Python (preferred), R*, or Java*.
- Hands-on experience with ML frameworks like TensorFlow, PyTorch, or Keras.
- Expertise in NLP, computer vision, deep learning, and LLMs.
- Proficiency in RAG, embedding models, and vector databases.
- Experience with cloud AI services (AWS SageMaker, Azure AI, Google AI Platform).
- Strong understanding of Hugging Face Transformers, Model Hub, and tokenizers.
- Familiarity with big data tools such as Hadoop, Spark, or Kafka.
- Strong understanding of adversarial ML attacks, model explainability, AI governance, and bias mitigation techniques.
- Knowledge of security best practices for AI.
- Strong foundation in algorithms, data structures, and model evaluation techniques.
- Proven ability to deliver end-to-end AI/ML projects.
- Strong analytical and problem-solving skills.
- Excellent communication skills.
- Ability to work on-site and manage multiple projects effectively.
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