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AI / ML Engineer
Maruti Suzuki
posted 6mon ago
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Key skills for the job
Job Description
- Developing AI/ML algorithms to analyze huge volumes of historical data to make predictions and recommendations.
- Implement and optimize deep learning models for generative tasks such as image synthesis, voice etc
- Collaborate with software engineers to integrate Generative AI models into production systems
- Should be able evaluate the application cases and problem-solving potential of AI/ML algorithms and rank them according to success likelihood.
- Should be able to comprehend data through exploration and visualization, spot discrepancies in data distribution
- Should be able to work on structured as we'll as unstructured data
- Should be able to develop various algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production
- Should be able to leverage cloud platforms for training and deploying large scale solutions (AWS Preferred)
- Should have working knowledge on managing ModelOps framework
- Should understand CI/CD processes in product deployment and used it in delivery.
- Should be able to collaborate with data engineers to build data and model pipelines and maintain accuracy
- Should be able to take complete ownership of the assigned project
- Experience of working in Agile environments
- we'll versed with JIRA or equivalent project tracking tool"
Competencies / Skills:
- Understanding of AI/ML frameworks,LLM libraries, data structures, data modeling, and software architecture.
- Proficiency with a deep learning framework such as TensorFlow, Keras, NLP and text analytics and ML algorithms like clustering, regression, classification etc
- Proficiency with Python and basic libraries for machine learning such as scikit-learn, pandas
- Experience working with recommendation engines, data pipelines and distributed machine learning
- Ability to select hardware to run an ML model with the required latency
- Knowledge of cloud platforms (AWS, Azure and GCP)
- Great communication and collaboration skills.
Employment Type: Full Time, Permanent
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Strict timing
Monday to Saturday
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Day Shift
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