Lead Machine Learning Solutions Developer

As a Senior AI/ML Engineer at our client's AI team, you will play a crucial role in designing, training, and deploying machine learning models to power innovative features across devices and services. Your contributions will impact millions of users and offer you the opportunity to work with a global technology leader in the telecommunications sector. **Key Responsibilities:** - Build, train, and maintain systems leveraging machine learning and natural language processing. - Write machine learning algorithms based on transformers. - Conduct experiments, evaluate model performance, and propose enhancements. - Develop quick scripts for task automation like metric generation and file conversions. - Collaborate with engineers to implement production-ready AI solutions. **Qualifications Required:** - Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field. - 5-7 years of experience in developing and deploying machine learning models. - Minimum 3 years of experience in team leadership. - Proficiency in deep learning and statistical learning for Natural Language Processing (NLP). - Familiarity with text processing libraries and hands-on experience with LLM models, prompting libraries, and fine-tuning. **Additional Information:** The role is for a 12-month contract with a potential 12-month extension based on performance. You will be working for a leading multinational telecommunications company. **Programming & ML Frameworks:** - Python - TensorFlow - PyTorch - scikit-learn - XGBoost / LightGBM - NumPy, Pandas - Jupyter Notebooks - Data preprocessing & feature engineering tools - Git / GitLab - Jenkins **Development & Experimentation Tools:** - TensorBoard - Weights & Biases (W&B) or Neptune.Ai - ONNX (optional but common for deployment/optimization) **Other Useful Skills:** - Experience with edge AI model optimization (TensorRT, CoreML, TFLite) **Requirements:** - Commute to the job's location - Authorized to work in India - Working in an onsite setting - 3+ years of work experience with Natural Language Processing (NLP) - 3+ years of work experience with Large Language Models (LLM) - 3+ years of work experience with Supervising Teams - 3+ years of work experience with Machine Tools - 3+ years of work experience with Artificial Intelligence (AI) As a Senior AI/ML Engineer at our client's AI team, you will play a crucial role in designing, training, and deploying machine learning models to power innovative features across devices and services. Your contributions will impact millions of users and offer you the opportunity to work with a global technology leader in the telecommunications sector. **Key Responsibilities:** - Build, train, and maintain systems leveraging machine learning and natural language processing. - Write machine learning algorithms based on transformers. - Conduct experiments, evaluate model performance, and propose enhancements. - Develop quick scripts for task automation like metric generation and file conversions. - Collaborate with engineers to implement production-ready AI solutions. **Qualifications Required:** - Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field. - 5-7 years of experience in developing and deploying machine learning models. - Minimum 3 years of experience in team leadership. - Proficiency in deep learning and statistical learning for Natural Language Processing (NLP). - Familiarity with text processing libraries and hands-on experience with LLM models, prompting libraries, and fine-tuning. **Additional Information:** The role is for a 12-month contract with a potential 12-month extension based on performance. You will be working for a leading multinational telecommunications company. **Programming & ML Frameworks:** - Python - TensorFlow - PyTorch - scikit-learn - XGBoost / LightGBM - NumPy, Pandas - Jupyter Notebooks - Data preprocessing & feature engineering tools - Git / GitLab - Jenkins **Development & Experimentation Tools:** - TensorBoard - Weights & Biases (W&B) or Neptune.Ai - ONNX (optional but common for deployment/optimization) **Other Useful Skills:** - Experience with edge AI model optimization (TensorRT, CoreML, TFLite) **Requirements:** - Commute to the job's location - Authorized to work in India - Working in an onsite setting - 3+ years of work experience with Natural Language Processing (NLP) - 3+ years of work experience with Large Language Models (LLM) - 3+ years of work experience with Supervising Teams - 3+ years of work experience with Machine Tools - 3+ years of work experience with Artificial Intelligence (AI)