Machine Learning Engineer
- CGI
- 3 - 8 years
- Bengaluru
- 6 days ago
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Job Description
Education Qualification:
- Bachelor's degree in Computer Science or related field or higher with minimum 3 years of relevant experience
Position Description:
- Must have skills : Must have experience in Programming Language (Python, R)
- Machine learning frameworks: scikit-learn, TensorFlow, PyTorch, or Keras
- NLP Libraries : NLTK, spaCy, or Stanford CoreNLP
- Data analysis and visualization tools: Pandas, NumPy, Matplotlib, or Seaborn
- Experience with cloud-based platforms: AWS, Azure, or Google Cloud
- Must have 3+ years of relevant experience in machine learning, NLP, or a related field
- Experience with automated process development, deployment, and maintenance
- Should be familiar with ticketing systems and auditing processes is a plus
- Soft Skills : Excellent communication and collaboration skills
- Ability to work in a fast-paced environment and adapt to changing requirements
- Strong problem-solving skills and attention to detail
Good to have skills :
- Experience with containerization: Docker, Kubernetes, or other containerization tools
- Familiarity with DevOps practices: Agile development, continuous integration, and continuous deployment
- Knowledge of IT service management: ITIL, COBIT, or other IT service management frameworks
- Certifications: Certified Data Scientist, Certified Machine Learning Engineer, or other relevant certifications
Skills:
- Artificial Intelligence
- Cloud Computing
- Data Analysis
- English
- Natural Language Processing
- Python
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: CGILocation(s): Bengaluru
Keyskills: machine learning kubernetes python natural language processing nltk numpy artificial intelligence docker pandas r tensorflow spacy seaborn nlp ticketing matplotlib pytorch data scientist keras agile cloud computing aws azure
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