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.

Job Requirements:

• 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.