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Artificial Intelligence and Machine Learning Specialist
2 weeks ago
Job Title: Senior AI/ML Engineer
We are seeking a seasoned Senior AI/ML Engineer to lead our team in designing, developing and deploying cutting-edge machine learning models.
This is an exceptional opportunity for an experienced engineer to join our innovative organization and contribute to the development of world-class AI solutions.
- Key Responsibilities:
- Clean Code & Development: Develop high-quality, maintainable and efficient Python code for building robust machine learning systems.
- Model Engineering: Design, build and deploy scalable machine learning models and end-to-end solutions.
- Cross-Functional Collaboration: Collaborate with diverse technical teams to ensure timely and efficient delivery of AI/ML projects.
- Data Science Lifecycle: Implement comprehensive data science processes, including data preprocessing, exploratory analysis, modeling, evaluation and deployment.
- Database Management: Effectively manage and retrieve data from SQL and NoSQL databases.
- API Development: Develop and integrate RESTful APIs using Python web frameworks (e.g., Flask, Django).
- Debugging & Optimization: Diagnose issues and optimize existing code for performance improvements.
- Agile Methodologies: Consistently apply Agile/Scrum software development lifecycle practices.
- LLM & RAG Implementation: Design, develop, fine-tune and deploy AI models focusing on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
- Model Validation & Evaluation: Conduct training, validation and evaluation experiments, refining models based on statistical analysis and performance metrics.
- Security & Compliance: Ensure that AI/ML solutions adhere to security best practices and data privacy regulations.
Technical Qualifications:
- Python Expertise: 5 years of hands-on experience with Python programming.
- ML/DL Experience: 5 years of experience building, training and deploying Machine Learning and Deep Learning models.
- Deep Learning Frameworks: Proficiency with TensorFlow, PyTorch and Keras.
- Web Frameworks: Solid experience with Python web frameworks (Flask, Django) for API development.
- Core Libraries: Strong expertise in NumPy, Pandas, Matplotlib, Scikit-learn, SpaCy, NLTK and HuggingFace Transformers.
- Algorithms & Techniques: Deep understanding of ML/DL algorithms, with advanced techniques in NLP and/or Computer Vision.
- Production-Grade AI: Proven experience designing and deploying AI solutions leveraging LLMs and RAG.
- NLP & Conversational AI: Hands-on expertise in text representation, semantic extraction, sentiment analysis and conversational AI.
- Concurrency: Practical knowledge of multithreading, concurrency and asynchronous programming in Python.
- Database Proficiency: Advanced skills in SQL (PostgreSQL, MySQL, SQLite, MariaDB) and NoSQL (MongoDB) databases.
- Deployment & MLOps: Experience with containerization (Docker/Kubernetes), cloud platforms (AWS, Azure, GCP) and familiarity with MLOps principles for CI/CD, monitoring and logging.
- Version Control: Proficient understanding of Git and Bitbucket for software version control.
- C++: Experience with C++ development is a plus.
Soft Skills:
- Analytical Thinking: Strong analytical and structured problem-solving capabilities.
- Proactive Problem-Solving: Logical reasoning and a hands-on approach to debugging and optimization.
- Team Collaboration: Effective interpersonal skills to work seamlessly with cross-functional teams.
- Clear Communication: Excellent ability to articulate technical concepts to diverse audiences.
- Continuous Learning: Commitment to staying current on emerging trends in AI/ML, NLP and Computer Vision.
Our ideal candidate will be highly motivated, enthusiastic and have excellent communication skills. They should be able to think critically and come up with creative solutions to complex problems. If you are a talented AI/ML engineer looking for a new challenge, please submit your application today