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AI/ML Engineer

2 months ago

Jersey City, New Jersey, United States Saransh Inc Full time
About the Role

We are seeking a highly skilled AI/ML Engineer to join our team at Saransh Inc. as a key member of our Data Science team.

Key Responsibilities
  • Develop and Implement AI/ML Models: Design, develop, and implement AI/ML models and algorithms to solve complex business problems and drive business growth.
  • Collaborate with Cross-Functional Teams: Work closely with cross-functional teams, including data analysts, product managers, and software engineers, to understand requirements and translate them into technical solutions.
  • Train and Evaluate AI/ML Models: Train and evaluate AI/ML models using large datasets to ensure accuracy and performance.
  • Apply Advanced Statistical and ML Techniques: Apply advanced statistical and ML techniques, including predictive modeling, time series analysis, and optimization algorithms, to extract insights from complex data sets.
  • Optimize and Fine-Tune AI/ML Models: Optimize and fine-tune AI/ML models for performance and accuracy, and ensure they are scalable and maintainable.
  • Design and Develop Data Pipelines: Design and develop data pipelines to preprocess and transform data for AI/ML models, ensuring data quality and integrity.
  • Stay Up-to-Date with Industry Trends: Stay updated with the latest trends and advancements in data science, machine learning, and related fields, and actively seek opportunities to enhance skills and knowledge.
Requirements
  • 9+ years of demonstrated experience in applied AI/ML engineering.
  • Strong programming skills in Python, with experience in developing and maintaining production-level code.
  • Proficiency in working with large datasets and data preprocessing.
  • Solid understanding of Software Testing and SRE practices.
  • Solid understanding of AI/ML algorithms and techniques, including deep learning, time series forecasting, and natural language processing.
  • Experience with cloud platforms, such as AWS, for deploying and scaling AI/ML models.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration skills.
  • Knowledge of infrastructure operations.