Join dynamic AI/ML development teams working on real-world applications that leverage machine learning and AI to drive innovation. Whether you're building predictive models, designing intelligent systems, or training deep neural networks, you’ll play a key role in transforming data into actionable insights for clients across industries.
Role: AI/ML Developer
Level: Open to both Intermediate and Senior Candidates
Location: Remote or On-site (depending on client)
Job Type: Full-time / Contract (depending on assignment)
Skills Needed
- Proficiency in Python, with libraries like TensorFlow, PyTorch, Scikit-learn, and Keras
- Experience with machine learning algorithms, deep learning architectures, and NLP models
- Familiarity with AI/ML lifecycle, from data gathering, preprocessing, model building, training, and validation
- Solid understanding of data structures, algorithms, and mathematical modeling
- Knowledge of cloud services (AWS, GCP, or Azure) for scalable ML deployment
- Hands-on experience in MLOps tools (MLflow, Kubeflow, or similar) is a plus
- Strong communication skills and ability to explain complex models to non-technical stakeholders
Job Summary
Join dynamic AI/ML development teams working on real-world applications that leverage machine learning and AI to drive innovation. Whether you're building predictive models, designing intelligent systems, or training deep neural networks, you’ll play a key role in transforming data into actionable insights for clients across industries.
Job Description
As an AI/ML Developer, you will:
- Design, develop, train, and deploy machine learning models for a range of applications
- Collaborate with data scientists, data engineers, and software developers to deliver robust AI solutions
- Preprocess large datasets and conduct feature engineering to improve model performance
- Conduct experiments, analyze model results, and iterate to improve accuracy and efficiency
- Develop APIs and pipelines to integrate models into production environments
- Stay updated on the latest AI/ML research, tools, and technologies
- Participate in code reviews and contribute to system architecture decisions