We are looking for a highly motivated Machine Learning and Deep Learning Engineer with a specific focus on designing and implementing AI algorithms for sequence and time series data.
- Research and implement AI algorithms to build predictive models for time series and sequence data.
- Work on all data-related aspects of engineering the solution, from collecting the data for research to implementing the solution in production.
- Work on all aspects of bringing the models into production such as DataOps, MLOps, ModelOps, AIOps, and CI/CD pipelines.
- Build AI testing, unit testing, regression testing, and integration testing into the implemented algorithms.
- Participate in documenting the research in form of white papers and research papers with the team.
- Collaborate with engineers and architects from other disciplines such as data, application, infra, cloud, security, and UI/UX to build and implement AI solutions in production.
- Work in an agile environment based on the defined sprint backlogs to deliver the assigned work in the stipulated timelines.
- Masters or Bachelor’s degree in computer science, data science, or related discipline with a focus on machine learning and deep learning.
- Relevant experience of 2-4 years as an AI Engineer in respective disciplines .
- Experience in Python programming and AI frameworks such as sci-kit-learn, TensorFlow, PyTorch, Keras etc.
- Experience in data wrangling in python using NumPy, pandas, dask, etc.
- Experience in data visualization libraries such as matplotlib, seaborn, bokeh, folium, plotly, etc .
- Experience in working with any major cloud system such as GCP, AWS, or Azure .
- Experience in working with CUDA/GPU-enabled environments and libraries such as cupy.
cloud security; GCP; Machine learning; Integration testing; Agile; Regression testing; Unit testing; data visualization; Python
Xforia is a young company spearheaded by experienced, industry-recognized professionals. That is how we like to describe us. Since its very inception, Xforia has been solely engaged in IT staffing and recruiting services, our clients being among the most successful organizations in technology and managed services spanning across industries