Machine Learning (ML)
Data Science
Python
- A Data and MLOps Engineering lead that has a good understanding of modern Data engineering frameworks with a focus on Microsoft Azure and Azure Machine Learning and its development lifecycle and DevOps.
- Aims to solve the problems encountered when turning Data into meaningful solutions using transformations and data science code into production Machine Learning systems. Some of these challenges include:
- ML orchestration - how can I automate my ML workflows across multiple environments
- Scalability - how can I take advantage of the huge computational power available in the cloud?
- Serving - how can I make my ML models available to make predictions reliably when needed?
- Monitoring - how can I effectively monitor my ML system in production to ensure reliability? Not just system metrics, but also get insight into how my models are performing over time
- Reuse – how can I profess reuse of artefacts built and establish templates and patterns?
The MLOps team works closely with ML Engineering and DevOps teams. Rather than focus just on individual use cases, the focus would be to specialise in building the platforms and tools that can help adoption of MLOps across the organisation and develop best practices and ways of working to develop a state of the art MLOps capability.
A good understanding of AI/Machine Learning and software engineering best practices such as Cloud Engineering, Infrastructure-as-Code, and CI/CD.
Have excellent communication and consulting skills, while delivering innovative AI solutions on Azure.
Responsibilities will include:
- Building state-of-the-art MLOps platforms and tooling to help adoption of MLOps across organization
- Designing cloud ML architectures and provide a roadmap for flexible patterns
- Optimizing solutions for performance and scalability
- Leading and driving the evolving best practices for MLOps
- Helping to showcase expertise and leadership in this field
Tech stack
These are some of the tools and technologies that we use day to day. Key to success will be attitude and aptitude with a vision to build the next big thing in AI/ML field.
- Python - including poetry for dependency management, pytest for automated testing and fastapi for building APIs
- Microsoft Azure Platform - primarily focused on Databricks, Azure ML
- Containers
- CI/CD – Azure DevOps
- Strong programming skills in Python
- Solid understanding of cloud concepts
- Demonstrable interest in Machine Learning
- Understanding of IaC and CI/CD concepts
- Strong communication and presentation skills.
Remuneration: Best in the industry
Connect: https://www.linkedin.com/in/shweta-gupta-a361511
Shubham Vishwakarma
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Nexora Group is looking for passionate and innovative students interested in Artificial Intelligence (AI) and Machine Learning (ML). This internship offers an opportunity to work on real-world AI projects, explore machine learning techniques, and gain hands-on experience with emerging technologies that are transforming industries worldwide.
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- Assist in developing and testing Machine Learning models.
- Work on AI-based applications and automation projects.
- Analyze datasets and prepare data for model training.
- Research emerging AI and Machine Learning technologies.
- Evaluate model performance and improve accuracy.
- Create reports and documentation for assigned projects.
- Participate in project discussions, training sessions, and team meetings.
- Support the development of innovative AI-driven solutions.
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- Basic knowledge of Python programming.
- Understanding of Artificial Intelligence and Machine Learning concepts.
- Familiarity with data analysis and statistics.
- Knowledge of Machine Learning libraries such as Scikit-learn, TensorFlow, or PyTorch is a plus.
- Strong analytical and problem-solving skills.
- Ability to learn new technologies quickly.
- Good communication and teamwork skills.
Eligibility
- B.Tech, M.Tech, BCA, MCA, B.Sc., M.Sc., or related disciplines.
- Students pursuing Computer Science, Artificial Intelligence, Data Science, Information Technology, Mathematics, or related fields.
- Freshers and recent graduates are encouraged to apply.
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✅ Machine Learning Algorithms
✅ Data Preprocessing & Model Training
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✅ AI Project Development
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✅ Internship Completion Certificate
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon