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Artificial Intelligence / Machine Learning Engineer

1-6 Years
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  • Posted a month ago
  • Over 500 applicants
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Job Description

Job Responsibilities

  • Model Development & Deployment
  • Build and deploy Generative AI models using techniques such as Retrieval-Augmented Generation (RAG) and Fine-Tuning
  • Develop advanced AI/ML algorithms for large-scale historical data analysis, prediction, and recommendation
  • Implement and optimize deep learning models for generative tasks like image synthesis and voice generation
  • Collaborate with software engineers to integrate AI models into production systems
  • Algorithm Evaluation & Data Handling
  • Assess the feasibility and success potential of various AI/ML approaches for specific business problems
  • Perform data exploration, visualization, and discrepancy analysis across structured and unstructured datasets
  • Engineer features and build scalable statistical and ML models for production environments
  • Cloud & Deployment Architecture
  • Leverage cloud platforms (AWS preferred; Azure, GCP) to train and deploy ML solutions at scale
  • Manage workflows under a ModelOps framework with support for versioning, validation, and performance tracking
  • Implement CI/CD pipelines for model delivery and automation of deployment workflows
  • Project Ownership & Team Collaboration
  • Work closely with data engineers to build and maintain data and model pipelines
  • Take full ownership of assigned projects and deliverables
  • Operate effectively within Agile environments, using JIRA or similar tracking tools

Core Competencies & Skills

  • Proficient in AI/ML frameworks, LLM libraries, and data structures
  • Strong software architecture knowledge and experience with TensorFlow, Keras, and other deep learning tools
  • Hands-on expertise in Python and ML libraries including scikit-learn and pandas
  • Experience with natural language processing, text analytics, clustering, regression, and classification models
  • Proficient in distributed ML systems, recommendation engines, and data pipelines
  • Capable of evaluating and selecting hardware for deployment based on latency and throughput requirements
  • Effective communicator and collaborator with cross-functional teams

More Info

Job Type:
Industry:
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Open to candidates from:
Indian

About Company

Maruti Suzuki was established with a dream to provide the 'Joy of Mobility' in the early 1980s. With a humble start of manufacturing about 20,000 cars in a year, the Company has grown leaps and bounds, manufacturing close to 2 million cars a year in FY 2022-23.

Job ID: 120255433