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Esyconnect

Esyconnect

AI/ML ENGINEER

Company

Esyconnect

Role

AI/ML ENGINEER

Job type

Full-time

Found on Mokaru

11 months ago

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Salary

Not disclosed by employer

Job description

We are seeking a talented and innovative AI/ML Engineer to join our team in Navi Mumbai, India. As an AI/ML Engineer, you will be at the forefront of developing cutting-edge artificial intelligence and machine learning solutions that drive our company's technological advancements.

  • Design, develop, and implement machine learning models and algorithms to solve complex business problems
  • Collaborate with cross-functional teams to identify and prioritize AI/ML opportunities
  • Preprocess and clean large datasets, perform feature engineering, and conduct exploratory data analysis
  • Develop and maintain scalable ML pipelines for model training, evaluation, and deployment
  • Optimize existing ML models for improved performance and efficiency
  • Stay up-to-date with the latest advancements in AI/ML technologies and implement best practices
  • Contribute to the development of AI/ML strategies and roadmaps
  • Mentor junior team members and share knowledge through documentation and presentations
  • Master's or Ph.D. in Computer Science, Machine Learning, or a related field
  • 3+ years of experience in AI/ML development
  • Strong proficiency in Python and experience with R or Java
  • Expertise in machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn
  • Experience with deep learning techniques, natural language processing, and computer vision
  • Familiarity with big data technologies like Hadoop and Spark
  • Proficiency in working with cloud platforms (AWS, Azure, or GCP)
  • Strong understanding of statistical analysis and mathematical concepts
  • Experience with data preprocessing, feature engineering, and model deployment
  • Proven track record of implementing and deploying ML models in production environments
  • Excellent problem-solving skills and attention to detail
  • Strong communication skills and ability to explain complex concepts to non-technical stakeholders
  • Experience with version control systems, preferably Git
  • Knowledge of current AI/ML trends and best practices
  • Relevant certifications (e.g., AWS Machine Learning Specialty, Google Cloud Professional Machine Learning Engineer) are a plus

All your information will be kept confidential according to EEO guidelines.

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