AI/ML Developer

3 years - 6 years
$ 40000
Posted: 1 month ago
Interim Management & Consulting Services, AI/ML Developer
Full-time, Contract Onsite, Contract Remote

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

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

Keyskills