AI/ML Engineer

4 weeks ago

gurugram, India Maruti Suzuki India Limited Full time

Work Experience (Years) -: 3yrs-7 yrs

Hiring Qualification- B.Tech/ BE

Job Responsibilities:

· 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 well 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

· Well 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."

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