Ai/ml Engineer

Year    Remote, IN, India

Job Description

Position

: AI/ML Engineer

Type

: Part-Time

Location

: Remote or On-Site

Requirements : 5 to 10 years experience in Python programming with experience in Pandas, TensorFlow or Pytorch.

Overview



We are seeking a part-time

AI/ML Engineer to lead the development of proprietary AI solutions specifically for the manufacturing sector. This role emphasizes creating customized AI models that improve manufacturing workflows, solve industry-specific challenges, and optimize efficiency. You will work closely with our development team to embed these AI capabilities within our software suite, using structured data analysis to address real-world issues and ensure continuous enhancement of model performance.

Key Responsibilities



Custom AI Solution Development



Design and develop proprietary AI applications to meet manufacturing-specific requirements, minimizing reliance on third-party APIs. Build and fine-tune machine learning models to address complex manufacturing tasks such as process optimization, predictive error detection, and automated quality control. Implement language models to analyze and optimize manufacturing processes, ensuring they deliver precise, actionable insights.

Data Handling and Model Refinement



Leverage pandasfor robust data handling and processing, transforming manufacturing data into actionable insights for continuous model improvement. Continuously refine and adapt models based on real-world manufacturing data, validating performance and adjusting for accuracy in high-demand use cases.

System Integration and Collaboration



Collaborate with the development team to embed AI features into our product suite, ensuring alignment with existing software architecture and seamless functionality. Maintain a scalable and reliable deployment process for proprietary AI applications within our systems.

Documentation and Testing



Document AI model configurations, development processes, and performance metrics to maintain a clear, repeatable workflow. Conduct rigorous testing to validate the reliability, accuracy, and scalability of AI models in manufacturing applications.

Requirements



AI/ML Expertise



Proven experience in designing custom AI applications for domain-specific uses, with a strong understanding of machine learning and natural language processing

(NLP)techniques. Experience fine-tuning AI models for specific industry tasks, particularly in manufacturing workflows or related fields.

Programming and Data Handling



Proficient in

Python with extensive experience in

pandas*for data handling and preprocessing, essential for working with manufacturing data.
Familiarity with machine learning frameworks like

TensorFlow or PyTorch

and experience in deploying scalable ML solutions.

Manufacturing Knowledge (Preferred)



Familiarity with manufacturing environments, workflows, and processes, and experience with AI-driven optimizations within this domain.

Soft Skills



Strong communication skills with the ability to work both independently and collaboratively in a team environment. Creative problem-solving skills, with a continuous drive to innovate and improve AI applications.

Summary



This part-time role offers a unique opportunity for an experienced AI/ML Engineer to create AI applications uniquely designed for manufacturing. By customizing models to address specific industry challenges, you will be instrumental in building proprietary AI solutions that directly impact manufacturing efficiency and productivity.

Job Type: Full-time

Base Pay: ?500,000.00 - ?1,000,000.00 per year

Benefits:

Paid time off
Education:

Bachelor's (Required)
Experience:

Python: 5 years (Required) TensorFlow: 3 years (Required) PyTorch: 3 years (Required) Machine learning: 3 years (Required) AI: 3 years (Required)
Expected Start Date: 23/12/2024

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Job Detail

  • Job Id
    JD4615394
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Remote, IN, India
  • Education
    Not mentioned
  • Experience
    Year