REQUIREMENTS:
- Total experience:11years.
- Strong working knowledge in Machine Learning and NLP.
- Strong hands-on programming skills in Python with expertise in libraries such as scikit-learn pandas NumPy TensorFlow/PyTorch.
- Deep understanding of supervised and unsupervised learning NLP deep learning and model evaluation techniques.
- Hands on experience in Generative AI.
- Proven experience in designing and deploying ML pipelines and data workflows at scale.
- Proficiency with MLOps tools.
- Experience with version control containerization and CI/CD in ML environments.
- Strong understanding of data preprocessing feature selection and model interpretability techniques.
- Experience with cloud platforms (AWS GCP Azure) for ML deployment.
- Familiarity with generative AI models and LLMs.
- Excellent communication and collaboration skills.
RESPONSIBILITIES:
- Understanding functional requirements thoroughly and analyzing the clients needs in the context of the project
- Envisioning the overall solution for defined functional and non-functional requirements and being able to define technologies patterns and frameworks to realize it
- Determining and implementing design methodologies and tool sets
- Enabling application development by coordinating requirements schedules and activities.
- Being able to lead/support UAT and production roll outs
- Creating understanding and validating WBS and estimated effort for given module/task and being able to justify it
- Addressing issues promptly responding positively to setbacks and challenges with a mindset of continuous improvement
- Giving constructive feedback to the team members and setting clear expectations.
Qualifications :
Bachelors or masters degree in computer science Information Technology or a related field.
Remote Work :
Yes
Employment Type :
Full-time