Lumenci - Senior Software Engineer - Machine Learning/Artificial Intelligence
1 month ago
Job Description :
Responsibilities and Duties :
- Design, develop, and implement scalable and efficient software tools related to AI-powered Lumenci's Platforms, integrating with data pipelines, machine learning models, and data visualization tools.
- Collaborate with cross-functional teams, including engineering, sales, marketing, product managers, and other stakeholders, to understand business requirements, develop SaaS products, and deliver a smooth user experience with high-end look and feel.
- Contribute to building a robust product architecture, follow best practices in coding and code reviews, and be familiar with test-driven development.
- Develop dashboard tools to automate manual processes, build and maintain easy-to-use and powerful web applications.
- Develop and optimize algorithms for data processing, feature engineering, and model training.
- Participate in the full software development lifecycle, including requirements gathering, design, coding, testing, deployment, and maintenance.
- Research and implement state-of-the-art NLP models and techniques to improve the accuracy and performance of AI-powered solutions.
- Collaborate with the team to develop and maintain reusable NLP components, libraries, and frameworks that can be integrated into various software applications.
- Participate in the evaluation and selection of NLP tools, libraries, and frameworks that align with the team's goals and requirements.
- Work with team to ensure high-quality training data for NLP models and provide guidance on annotation best practices and guidelines.
- Optimize NLP models for scalability, performance, and resource utilization to ensure efficient deployment in production environments.
- Continuously monitor and maintain deployed NLP models, ensuring their performance, accuracy, and reliability over time.
- Ensure the quality, performance, and reliability of data-driven software solutions through rigorous testing, debugging, and code reviews.
- Stay up to date with the latest trends, techniques, and best practices in data science, machine learning, and software engineering.
- Contribute to the continuous improvement of software development processes, tools, and methodologies.
- Follow Agile/Scrum methodologies to deliver reliable software through continuous integration and continuous delivery.
Expected Competencies and Skills :
- Strong programming skills in Python or C++.
- Exposure to the latest technologies in AI, ML, and Blockchain.
- Proficiency in data manipulation, analysis, and visualization using libraries like pandas, NumPy, and Matplotlib.
- Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
- Familiarity with databases (e., SQL, NoSQL) and data storage technologies.
- Experience building web applications from scratch.
- Exposure to web frameworks such as Django.
- Familiarity with third-party APIs such as Stripe and Sendgrid.
- Knowledge of cloud computing platforms like AWS, GCP, or Azure.
- Exposure to DevOps practices and tools (e., Docker, Kubernetes).
- Familiarity with large language models (LLMs) and experience with frameworks like langchain, huggingface, pinecone, openai-api, etc.
- Understanding of linguistics and language structures.
- Knowledge of natural language processing (NLP) techniques, such as text classification, named entity recognition, and topic modeling.
- Experience with text data preprocessing, including tokenization, stemming, and lemmatization.
- Knowledge of evaluation metrics for NLP tasks (e., accuracy, precision, recall, F1-score).
- Experience with pre-trained language models like BERT, GPT, etc.
- Familiarity with NLP libraries and tools such as NLTK, spaCy, etc is a plus.
- Experience with deploying NLP models in production environments.
- Continuous learning and staying up-to-date with the latest research and advancements in the NLP field.
- Knowledge of software development best practices, including version control (e., Git), testing, and documentation.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
Education and Experience :
- 3-5 years of relevant experience in software development as individual contributor
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