Technical Architect
2 months ago
· Lead and manage the AI team within the global AI practice.
· Work closely with data scientists and AI engineers to create and deploy models catering to customer requirements.
· Establish scalable, efficient, automated processes for data analysis, model development, validation, deployment, serving and monitoring.
· Work closely with data engineering practice to build and deploy end-to-end AI pipelines including data processing, model training and model deployment.
· Ability to build and deploy large scale enterprise ready solutions for AI.
· Own and deliver end to end large, complex projects within the AI practice.
· Support sales and BD process and present to CXO level client representatives
· Work with clients to identify new AI opportunities.
· Prepare together with Sales, Solutioning and Engineering team to develop and propose cutting edge AI solutions.
· Contribute to building AI proposals, attending Orals, and providing easy to understand communications on AI.
· Ability to manage Client Relationships
· Cooperate and contribute to Global AI programs.
· Reviews proposed designs and make recommendations on improvement.
· Contribute to and promote good software engineering practices across the team, · Knowledge sharing with the team to adopt best practices,
· Actively contribute to and re-use community best practices.
Benefits
About Veltris
- Where Innovation, Acceleration and Transformation meet to deliver high-ROI technology and business solutions.
- Our design thinking approach to agile software development coupled with premium full-stack capabilities, and a cutting-edge innovation mindset accelerates time-to- market. This results in long-term strategic and competitive advantages for our clients and partners.
- Veltris – Innovate, Accelerate, Transform to enable technology-driven Enterprise, Business, and Industry transformations.
Requirements
Mandatory Skills · 3+ years of work experience in writing code in Python · Experience in using various Python libraries like Pandas, NumPy · Experience in writing good quality code in Python and code refactoring techniques (e.g., IDE’s – PyCharm, Visual Studio Code; Libraries – Pylint, pycodestyle, pydocstyle, Black) · Deep understanding of data structures, algorithms, and excellent problem-solving skills · Machine Learning libraries like Scikit-learn, XGBoost · Experience is handling Time Series Forecasting using standard Regression algorithms like Linear Regression, Gradient Boosted Decision Trees, Random forest, etc. · Experience of working with Sequence Models in Deep Learning, like LSTMs, etc. especially in the context of Time Series Forecasting. · Deep Learning frameworks like TensorFlow, Keras, PyTorch · Experience in distributed training of models on Nvidia GPU’s · Deploying AI solutions into production environment · Experience of model training and serving on any of the cloud environments (AWS, GCP, Azure) · Strong working knowledge of source code control tools such as Git, Bitbucket · Prior experience of designing, developing and maintaining Machine Learning solution through its Life Cycle is highly advantageous · Strong drive to learn and master new technologies and techniques · Strong communication and collaboration skills · Good attitude and self-motivated
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