Sr Software Developer

Sr. Software Developer

Direct Hire

About the Role:

We are seeking a skilled and motivated Mid-Level AI Software Developer with proficiency in Python to join our growing team. You will be responsible for designing, developing, and deploying AI and machine learning (ML) solutions. You’ll work closely with data scientists, engineers, and product teams to build scalable AI systems that deliver real-world impact.

Key Responsibilities:

1. Design and develop AI and ML models using Python.
2. Collaborate with cross-functional teams to identify AI use cases and integrate models into production environments.
3. Write clean, efficient, and reusable code for model training, testing, and deployment.
4. Conduct data analysis and preprocessing to ensure high-quality input for machine learning models.
5. Optimize model performance, scalability, and robustness for real-time applications.
6. Debug and maintain AI/ML pipelines in a production environment, ensuring reliability and efficiency.
7. Stay up to date with advancements in AI, machine learning, and deep learning technologies.
8. Work with cloud-based platforms (AWS, Azure, GCP) for scalable AI deployments.
9. Document technical designs, development workflows, and model performance metrics.

Required Skills & Qualifications:

1. 3-5 years of experience in software development with a focus on AI/ML.
2. Proficiency in Python and relevant libraries like NumPy, pandas, TensorFlow, Keras, PyTorch, etc.
3. Strong understanding of machine learning concepts, algorithms, and workflows (e.g., supervised/unsupervised learning, neural networks).
4. Experience with data preprocessing, feature engineering, and building pipelines.
5. Knowledge of cloud computing services such as AWS, GCP, or Azure for deploying AI/ML solutions.
6. Familiarity with version control systems (e.g., Git) and agile development practices.
7. Strong problem-solving skills, with the ability to debug and improve existing models and systems.
8. Excellent communication skills, with the ability to collaborate with both technical and non-technical stakeholders.

Preferred Qualifications:

1. Experience with natural language processing (NLP), computer vision, or reinforcement learning.
2. Familiarity with containerization and orchestration tools like Docker and Kubernetes.
3. Hands-on experience with big data technologies like Spark or Hadoop.
4. Previous work in a cloud-based AI/ML production environment.

Benefits:

1. Competitive salary and performance-based bonuses.
2. Comprehensive health, dental, and vision insurance.
3. Paid time off and flexible working hours.
4. Opportunities for professional development and growth.
5. Collaborative and inclusive work culture.