Software Developer - AI Specialist

Job Description

Job Description

Software Developer (AI Specialist) Job Description

Company Overview

We are a forward-thinking technology company dedicated to leveraging artificial intelligence to solve complex problems and drive innovation. Our mission is to deliver cutting-edge AI-driven solutions that transform industries and empower our clients. Join our dynamic team to work on impactful projects in a collaborative and innovative environment.

Job Summary

We are seeking a highly skilled Software Developer with deep expertise in Artificial Intelligence (AI) to design, develop, and deploy advanced AI-driven applications. The ideal candidate will have a strong background in machine learning, deep learning, and software engineering, with a proven ability to build scalable, high-performance systems. This role will involve working closely with cross-functional teams to integrate AI models into production environments and contribute to the full software development lifecycle.

Key Responsibilities

• Model Development: Design, develop, and optimize machine learning and deep learning models for tasks such as natural language processing (NLP), computer vision, predictive analytics, or reinforcement learning.
• System Integration: Integrate AI models into production systems, ensuring scalability, reliability, and performance in real-world applications.
• Software Engineering: Write clean, maintainable, and efficient code in languages such as Python, Java, or C++ to support AI-driven applications.
• Data Pipeline Development: Build and maintain data pipelines for preprocessing, feature engineering, and model training, ensuring data quality and efficiency.
• Model Deployment: Deploy AI models using cloud platforms (e.g., AWS, Azure, GCP) or on-premises infrastructure, leveraging tools like Docker, Kubernetes, or serverless architectures.
• Performance Optimization: Optimize AI models for inference speed, memory usage, and computational efficiency, including techniques like model pruning, quantization, and distributed computing.
• Collaboration: Work with data scientists, product managers, and other engineers to define requirements, translate business needs into technical solutions, and deliver end-to-end AI products.
• Research and Innovation: Stay current with the latest advancements in AI, machine learning, and software development, and apply cutting-edge techniques to enhance our products.
• Testing and Validation: Implement rigorous testing frameworks to validate model accuracy, robustness, and performance in production environments.
• Documentation: Document code, models, and processes to ensure maintainability and knowledge sharing within the team.

Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. A Ph.D. is a plus but not required.
• Experience:
  • 3+ years of professional software development experience, with at least 2 years focused on AI or machine learning projects.
  • Proven track record of building and deploying AI models in production environments.
• Technical Skills:
  • Programming Languages: Proficiency in Python (required), with experience in Java, C++, or JavaScript as a plus.
  • AI/ML Frameworks: Deep expertise in TensorFlow, PyTorch, scikit-learn, or similar frameworks.
  • Cloud Platforms: Experience with AWS, Azure, or Google Cloud for model deployment and data processing.
  • Data Tools: Familiarity with data processing tools like Pandas, NumPy, or Apache Spark.
  • DevOps Tools: Knowledge of Docker, Kubernetes, CI/CD pipelines, and version control systems (e.g., Git).
  • APIs: Experience integrating AI models with APIs (e.g., REST, gRPC) for real-time applications.
  • Big Data: Familiarity with big data technologies (e.g., Hadoop, Kafka) is a plus.
• Domain Knowledge: Strong understanding of machine learning concepts (e.g., supervised/unsupervised learning, neural networks, transformers, reinforcement learning) and their practical applications.
• Soft Skills: Excellent problem-solving skills, strong communication, and ability to work collaboratively in a fast-paced, team-oriented environment.

Preferred Qualifications

• Experience with generative AI models (e.g., GPT, Stable Diffusion) or large language models (LLMs).
• Familiarity with MLOps practices, including model monitoring, retraining pipelines, and A/B testing in production.
• Knowledge of computer vision techniques (e.g., OpenCV, CNNs) or NLP techniques (e.g., BERT, tokenization).
• Contributions to open-source AI projects or publications in AI-related fields.
• Experience with real-time or edge AI deployment (e.g., TensorRT, ONNX).

Benefits

• Competitive salary and equity options.
• Comprehensive health, dental, and vision insurance.
• Flexible work arrangements, including hybrid or remote options.
• Professional development opportunities, including conference attendance and training.
• Collaborative and inclusive company culture with regular team-building activities.