
Machine Learning Engineer
2 days ago
We are a specialized global business process services partner, providing transformational solutions and services across the customer lifecycle.
Our real-world practitioners work collaboratively to deliver future-focused outcomes, making it happen for our clients by solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics.
Job DescriptionWe are seeking an experienced Machine Learning Engineer to join our team. As a key member of our organization, you will be responsible for developing and implementing machine learning models that drive business value.
Required Skills and Qualifications- Proven experience in ML/AI development, particularly in ML, with a strong understanding of NLP, deep learning, and neural networks.
- Proficiency in Python and at least one of the Deep learning frameworks such as TensorFlow, Keras, or PyTorch.
- Familiarity with NLP libraries such as NLTK, SpaCy, and Huggingface transformers.
- Working knowledge of Generative AI models and their architectures.
- Familiarity with at least one of the two cloud platforms - Azure or AWS.
- Proficiency in exposing the solutions as API endpoints using ASGI frameworks such as FastAPI.
- Experience with development tools such as Git and version control.
- Experience deploying the solutions using Docker and Kubernetes.
- Familiarity with MLOps tools like Dagster, Airflow, MLFlow etc. to build orchestration pipelines and enable model versioning and tracking.
- Familiarity with data structures, algorithms, and core software engineering principles.
- Strong problem-solving skills and the ability to work independently and in a team environment.
- Good communication skills, with the ability to present complex technical concepts to non-technical stakeholders.
We offer a collaborative and dynamic work environment, opportunities for growth and professional development, and a competitive compensation package.
DisclaimerWe follow a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels.
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