Senior AI/ML Innovator

Are you a seasoned professional seeking a challenging role in the field of Artificial Intelligence and Machine Learning? Look no further We are currently seeking an AI/ML Engineer to join our team and take on a leadership role in fostering innovation and productivity.

• Lead by Example: As a Senior AI/ML Engineer, you will guide and mentor a team of engineers and data scientists, encouraging collaboration and creativity within the organization.
• Clean Code Practices: Write high-quality, maintainable code for developing robust machine learning systems, adhering to industry best practices.
• Model Development: Design, build, and deploy efficient machine learning models and end-to-end solutions, leveraging large language models and retrieval-augmented generation techniques.
• Cross-Functional Collaboration: Work closely with diverse technical teams to ensure timely and efficient delivery of AI/ML projects, promoting a culture of open communication and teamwork.
• Full Data Science Lifecycle: Implement comprehensive data science processes, including data preprocessing, exploratory analysis, modeling, evaluation, and deployment, ensuring seamless integration with other business functions.
• Database Management: Manage and retrieve data effectively using SQL and NoSQL databases, adhering to security best practices and data privacy regulations.
• API Development: Develop and integrate RESTful APIs using Python web frameworks, such as Flask and Django, for efficient data exchange and processing.
• Optimization and Debugging: Diagnose issues and optimize existing code for performance improvements, utilizing logical reasoning and analytical thinking skills.
• Agile Methodologies: Follow Agile/Scrum software development lifecycle practices consistently, prioritizing flexibility and adaptability in a rapidly changing environment.
• Advanced Model Development: Design, develop, fine-tune, and deploy AI models focusing on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), staying up-to-date with emerging trends in AI/ML.
• Model Evaluation and Validation: Conduct thorough training, validation, and evaluation experiments, refining models based on statistical analysis and performance metrics, ensuring high-quality results.
• Security and Compliance: Ensure that AI/ML solutions adhere to industry best practices and data privacy regulations, safeguarding sensitive information and maintaining confidentiality.

Technical Qualifications:

• Python Mastery: 5 years of hands-on experience with Python programming, with expertise in libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, SpaCy, NLTK, and HuggingFace Transformers.
• Machine Learning/DL Expertise: 5 years of experience building, training, and deploying Machine Learning and Deep Learning models, leveraging TensorFlow, PyTorch, and Keras.
• Web Frameworks: Solid experience with Python web frameworks (Flask, Django) for API development, ensuring efficient data exchange and processing.
• Core Libraries: Strong expertise in core libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, SpaCy, NLTK, and HuggingFace Transformers.
• Algorithms and Techniques: Deep understanding of ML/DL algorithms, with advanced techniques in NLP and/or Computer Vision, enabling effective problem-solving and model development.
• Production-Grade AI: Proven experience designing and deploying AI solutions leveraging LLMs and RAG, ensuring scalability and reliability.
• NLP and Conversational AI: Hands-on expertise in text representation, semantic extraction, sentiment analysis, and conversational AI, facilitating seamless human-AI interaction.
• Concurrency: Practical knowledge of multithreading, concurrency, and asynchronous programming in Python, optimizing code performance and efficiency.
• Database Proficiency: Advanced skills in SQL (PostgreSQL, MySQL, SQLite, MariaDB) and NoSQL (MongoDB) databases, ensuring effective data management and retrieval.
• Deployment and MLOps: Experience with containerization (Docker/Kubernetes), cloud platforms (AWS, Azure, GCP), and familiarity with MLOps principles for CI/CD, monitoring, and logging, streamlining the deployment process.
• Version Control: Proficient understanding of Git and Bitbucket for software version control, ensuring collaborative development and efficient tracking of changes.
• C++: Experience with C++ development is a plus, demonstrating versatility and adaptability in coding languages.

Soft Skills:

• Analytical Thinking: Strong analytical and structured problem-solving capabilities, driving informed decision-making and strategic planning.
• Proactive Problem-Solving: Logical reasoning and a hands-on approach to debugging and optimization, ensuring efficient resolution of complex issues.
• Team Collaboration: Effective interpersonal skills to work seamlessly with cross-functional teams, promoting open communication and cohesive teamwork.
• Clear Communication: Excellent ability to articulate technical concepts to diverse audiences, facilitating mutual understanding and respect.
• Continuous Learning: Commitment to staying current on emerging trends in AI/ML, NLP, and Computer Vision, remaining adaptable and innovative in a rapidly evolving field.