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AI / ML Engineer @ Leading Client

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 AI / ML Engineer

Job Description

Technology - Machine learning, GenAI, Python, Data Science

Experience - 6+ years

  • Design, develop, and maintain scalable, efficient, and reliable systems to support GenAI and machine learning- based applications and use cases
  • Lead the development of data pipelines, architectures, and tools to support data-intensive projects, ensuring high performance, security, and compliance
  • Collaborate with other stakeholders to integrate AI and ML models into production-ready systems
  • Work closely with non-backend expert counterparts, such as data scientists and ML engineers, to ensure seamless integration of AI and ML models into backend systems
  • Ensure high-quality code, following best practices, and adhering to industry standards and company guidelines

Desired Profile

  • Senior backend engineer with a proven track record of owning the backend portion of projects
  • Experience collaborating with product, project, and domain team members
  • Strong understanding of data pipelines, architectures, and tools
  • Proficiency in Python (ability to read, write and debug Python code with minimal guidance)
  • Strong communication and interpersonal skills, with the ability to work with stakeholders at all levels

Mandatory Skills:

  • Machine Learning: experience with machine learning frameworks, such as scikit-learn, TensorFlow, or PyTorch
  • Python: proficiency in Python programming, with experience working with libraries and frameworks, such as NumPy, pandas, and Flask
  • Natural Language Processing: experience with NLP techniques, such as text processing, sentiment analysis, and topic modeling
  • Deep Learning: experience with deep learning frameworks, such as TensorFlow, or PyTorch
  • Data Science: experience working with data science tools
  • Backend: experience with backend development, including design, development, and deployment of scalable and modular systems
  • Artificial Intelligence: experience with AI concepts, including computer vision, robotics, and expert systems
  • Pattern Recognition: experience with pattern recognition techniques, such as clustering, classification, and regression
  • Statistical Modeling: experience with statistical modeling, including hypothesis testing, confidence intervals, and regression analysis

Qualification - Bachelor's degree in a relevant field

Job Classification

Industry: Recruitment / Staffing
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time

Contact Details:

Company: Leading Client
Location(s): Mumbai

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Keyskills:   Machine Learning Data Science GenAI PyTorch Natural Language Processing AI Statistical Modeling NumPy Python

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Leading Client

Diesel Delivery At Zero Extra Cost. The company is backed by the promoters who are pioneers in fuel delivery for the past 35 years in South India. Provides provide business specific solutions for each business, ranging between Heavy Machinery Suppliers, Constructions, Industries & Factories, T...