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Open nowPosted 444 days ago

Aiml-Accenture

Codersbrain

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Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 444 days ago

The posting

AIML Specialist

## Company Overview Company details are not specified.

## Job Summary The AIML Specialist is responsible for developing and implementing artificial intelligence and machine learning models to enhance business processes and drive innovation. This role will contribute to the organization’s goals by analyzing data and providing insights for decision-making.

## Responsibilities - Design, develop, and deploy machine learning models for various applications. - Analyze large datasets to extract meaningful insights and patterns. - Collaborate with cross-functional teams to integrate AIML solutions into existing systems. - Conduct experiments to test the effectiveness of different algorithms and models. - Stay updated with the latest advancements in AIML technologies and methodologies.

## Qualifications - Proficient in programming languages such as Python, R, or Java. - Strong understanding of data structures, algorithms, and statistical techniques. - Familiarity with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn. - Excellent problem-solving skills and analytical thinking. - Minimum educational qualification: Bachelor’s degree in Computer Science, Data Science, or a related field. - Knowledge of database systems such as SQL or NoSQL is preferred. - Experience with cloud-based platforms (e.g., AWS, Google Cloud) is an advantage.

## Preferred Skills - Experience in natural language processing (NLP) or computer vision. - Knowledge of deep learning techniques and frameworks. - Skills in data visualization tools (e.g., Tableau, Matplotlib) are a plus.

## Experience Minimum experience requirements are not specified, but relevant experience in AIML or related fields is preferred.

## Environment The typical work setting details are not provided, including location (remote, in-office, hybrid) or any specific physical conditions.

## Salary Salary information is not specified.

## Growth Opportunities Details on potential career advancement opportunities within the company are not provided.

## Benefits Information regarding offered benefits such as insurance, paid leave, or work policies is not specified.

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