
Senior AI/ML Specialist
1 day ago
Our organization is seeking an experienced Senior AI/ML Developer to lead our team of engineers and data scientists in fostering a productive work environment.
Key Responsibilities:- Team Leadership:
- Guide and mentor a team of engineers and data scientists
- Software Development:
- Write clean, maintainable, and error-free code for developing robust machine learning systems
- Model Engineering:
- Design, build, and deploy machine learning models and end-to-end solutions
- Cross-Functional Collaboration:
- Work with diverse technical teams to ensure timely delivery of AI/ML projects
- Data Science Process:
- Implement end-to-end data science processes, including data preprocessing, exploratory analysis, modeling, evaluation, and deployment
- Database Management:
- Manage and retrieve data effectively using SQL and NoSQL databases
- API Development:
- Develop and integrate RESTful APIs using Python web frameworks
- Debugging & Optimization:
- Diagnose issues and optimize existing code for performance improvements
- Agile Methodologies:
- Follow Agile/Scrum software development lifecycle practices consistently
- AI Model Development:
- Design, develop, fine-tune, and deploy AI models focusing on Large Language Models and Retrieval-Augmented Generation
- 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
- Python Expertise: 5 years of experience with Python programming.
- Machine Learning/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.
- Analytical Thinking: Strong analytical and structured problem-solving capabilities.
- Proactive Problem-Solving: Logical reasoning and 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.
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