Machine Learning Engineer/Lead
4 weeks ago
Role : ML Engineer/Lead
Years of experience : 2+ years
Location : Bangalore (5 days WFO)
Must have skills :
- Machine learning, NLP & AI
- Python, Pandas, NumPy, R
- Service Oriented Architecture / Web Services - SOAP / REST
- Frameworks - machine learning frameworks (like TensorFlow or PyTorch) and libraries (like scikit-learn)
- Databases- MongoDB, SQL/MySQL, ELK
- Linux & Unix working knowledge
- Configuration Management - CVS, GIT, SVN
- Webservers- JBoss, Apache Tomcat etc
Value Add :
- Knowledge on kafka, python, and ELK
- Experience with Correlation model implementation
- Good communication skills
- Scrum Master
- Problem solving skills
- You will play a key role in the overall estimation of work requirements to provide the right information on project estimations to Technology Leads and Project Managers.
- You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey
Elaborate roles and responsibilities :
- Lead the design, development, and deployment of machine learning models and NLP solutions to address business challenges.
- Collaborate with cross-functional teams to gather requirements, define project scope, and identify opportunities for applying machine learning techniques.
- Utilize your expertise in Python, Pandas, NumPy, and R to preprocess data, train machine learning models, and analyze results.
- Implement service-oriented architecture (SOA) and develop web services using SOAP and REST protocols for seamless integration of machine learning solutions with existing systems.
- Leverage machine learning frameworks such as TensorFlow or PyTorch and libraries like scikit-learn to build and optimize models.
- Work with various databases including MongoDB, SQL/MySQL, and ELK stack for data storage, retrieval, and analysis.
- Demonstrate proficiency in Linux and Unix systems for development and deployment tasks.
- Utilize configuration management tools such as CVS, GIT, and SVN for version control and collaborative development.
- Deploy machine learning models and NLP solutions on web servers like JBoss and Apache Tomcat for real-time inference and interaction.
- Mentor junior team members, provide technical guidance, and foster a culture of continuous learning and innovation within the team.
- Exhibit strong problem-solving skills and the ability to think creatively to overcome technical challenges.
- Contribute to the overall architecture and design of machine learning systems and frameworks.
- Stay updated with the latest advancements in machine learning, NLP, and AI technologies and incorporate them into our solutions.
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