Senior Software Engineer/Data Scientist in AI-ML

Role Overview: We are seeking an exceptional Senior Software Engineer/Data Scientist with a robust focus on AI-ML, particularly in the areas of LLM, GPT Prompting, and R&D including Prototyping for the Semiconductor and Advanced Manufacturing/Engineering Sectors. In this role, you will leverage your extensive experience and skills to develop cutting-edge solutions, drive innovation, and contribute significantly to our R&D efforts. Your ability to transition between roles of a software engineer and a data scientist will be crucial in tackling complex problems and creating impactful technology solutions.

Key Responsibilities:

• Lead the design, development, and implementation of AI-ML models, focusing on LLM and GPT Prompting for various applications.
• Drive R&D projects from conception through prototyping to production, particularly in the semiconductor and advanced manufacturing/engineering sectors.
• Develop and optimize algorithms and models to enhance system performance, scalability, and efficiency.
• Collaborate with cross-functional teams to integrate AI-ML solutions into existing systems and workflows.
• Conduct data analysis, visualization, and interpretation to support decision-making and strategic planning.
• Stay abreast of industry trends and advancements, applying new knowledge to improve existing processes and solutions.
• Troubleshoot and resolve technical issues, ensuring smooth operation of AI-ML systems and applications.
• Oversee and drive projects forward, ensuring timely delivery and high-quality outcomes.
• Coach and mentor junior engineers and data scientists, fostering a collaborative and growth-oriented environment.
• Suggest new ideas and tools to improve our products and processes, with direct buy-in and interaction opportunities from the C-Suite/Management Team.

Requirements:

• PhD, MS, or BS degree in Computer Science, Electrical Engineering, or a related field.
• Proven experience as a Senior Software Engineer/Data Scientist with a focus on AI-ML, LLM, and GPT Prompting.
• Extensive experience in R&D and prototyping within the semiconductor and advanced manufacturing/engineering sectors.
• Strong understanding of the state-of-the-art and emerging ML algorithms and their mapping onto modern heterogeneous multicore architectures.
• Proficiency in using popular ML frameworks such as Pytorch, Tensorflow, and ONNX.
• Strong understanding of quantization techniques, such as PTQ (Post-Training Quantization) and QAT (Quantization-Aware Training).
• Strong C/C++ programming experience and scripting skills (Python/shell).
• Proficiency in programming languages such as Python, Java, MySQL, MongoDB, and JavaScript.
• Strong expertise in AI-ML frameworks and libraries including TensorFlow, sklearn, XGBoost, NLTK, LangChain, and Tesseract.
• Experience with cloud platforms and services such as AWS (CDK, Lambda, EC2, S3, CloudFront, EB).
• Solid understanding of system architecture, database optimization, and cloud computing.
• Excellent communication and collaboration skills with a proactive problem-solving approach.
• Demonstrated ability to learn and adopt new technologies, with a strong interest in AI and industry trends/tools.
• Proven and known ability to drive teams and ideas, effectively leading projects and initiatives.
• Experience in presenting ideas and tools to senior management and securing direct buy-in.

Beneficial:

• Experience with front-end technologies such as HTML, CSS, and JavaScript frameworks (React).
• Familiarity with DevOps practices and CI/CD pipelines.
• Contributions to open-source projects or a strong GitHub profile.
• Generic certifications in AI-ML and related fields.

Core Competencies:

• Flask & Spring Boot
• React
• SQL, Mongo, Redis & Celery
• AWS
• TensorFlow, sklearn, XGBoost, NLTK, LangChain, Tesseract
• NGINX, Gunicorn & JupyterHub

Technical Skills:

• Languages: Python, Java, MySQL, Mongo, JavaScript, HTML/CSS
• Frameworks: Flask, FastAPI, Spring Boot, JMS, React
• Developer Tools: Git, AWS (CDK, Lambda, EC2, S3, CloudFront, EB), GitHub Actions, NGINX, JupyterHub
• Libraries: keras, sklearn, XGBoost, NLTK, TensorFlow, LangChain, Tesseract, pandas, Bokeh, Redis, Celery

Expertise:

• Algorithm Development, System Architecture, Project Management, Database Optimization, Cloud Computing, API Integration, Full Stack Development, Machine Learning, Data Visualization, DevOps, Performance Benchmarking, Product Lifecycle Management, Code Optimization, Technical Problem-Solving

Benefits:

• Fully remote role.
• Competitive salary and benefits package.
• Opportunities for career growth and professional development.
• Work on exciting and innovative projects in a collaborative environment.