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Artificial Intelligence/Machine Learning Developer - NLP/Deep Learning (5-10 yrs)

5-10 years

Chennai

Artificial Intelligence/Machine Learning Developer - NLP/Deep Learning (5-10 yrs)

RecruitEForU Consulting

posted 1mon ago

Job Role Insights

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Job Description

Job Title : AI/ML Developer

Location : World Trade Center, Rajiv Gandhi Salai, Perungudi, Chennai, Tamil Nadu 600096

Experience: 5+ Years

Job Overview :

We are seeking a highly skilled and experienced AI/ML Developer to join our dynamic team at the World Trade Center, Rajiv Gandhi Salai, Perungudi, Chennai. The ideal candidate will possess a robust background in Python programming, AI/ML technologies, and advanced techniques in Natural Language Processing (NLP) and Deep Learning. This role is crucial for driving innovation and developing state-of-the-art solutions that enhance our products and services.

Key Responsibilities :

1. AI/ML Model Development :

- Design, develop, and deploy sophisticated machine learning models using Python and relevant frameworks (such as TensorFlow, PyTorch, scikit-learn).

- Implement deep learning architectures and algorithms for various applications, including image recognition, speech processing, and predictive analytics.

2. Natural Language Processing (NLP) :

- Develop and fine-tune NLP models for text classification, sentiment analysis, entity recognition, and language generation tasks.

- Leverage state-of-the-art NLP techniques and tools to improve language understanding and generation capabilities.

3. Generative AI (GenAI) :

- Create and optimize Generative AI models for tasks such as content creation, data augmentation, and synthetic data generation.

- Stay updated with the latest advancements in GenAI and integrate them into our solutions where applicable.

4. Data Handling and Analysis :

- Collaborate with data engineers to acquire, clean, and preprocess large datasets for model training and evaluation.

- Conduct exploratory data analysis and feature engineering to enhance model performance.

5. Collaboration and Communication :

- Communicate effectively with international stakeholders, including teams from the UK, Europe, and the US, to understand business requirements and translate them into technical solutions.

- Prepare and present technical documentation, reports, and project updates to both technical and non-technical audiences.

6. Continuous Learning and Innovation :

- Stay abreast of the latest trends and technologies in AI/ML, NLP, and GenAI.

- Participate in professional development opportunities, attend relevant conferences, and contribute to research and development initiatives.

Qualifications :

- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.

- Minimum of 5 years of professional experience in AI/ML development with a strong focus on Python.

- Proven expertise in developing and deploying machine learning models, including experience with deep learning frameworks (e.g., TensorFlow, PyTorch).

- Demonstrated proficiency in NLP techniques and tools, with practical experience in model training and fine-tuning.

- Hands-on experience with Generative AI technologies and their applications.

- Excellent problem-solving skills and the ability to work with complex datasets.

- Strong communication skills, with a track record of effective interaction with international business teams.

- Ability to thrive in a fast-paced environment and manage multiple projects simultaneously.

Preferred Skills :

- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying and scaling AI/ML solutions.

- Familiarity with version control systems (e.g., Git) and agile development methodologies.

- Publications or contributions to AI/ML research communities.

Benefits :

- Competitive salary and performance-based incentives.

- Opportunities for professional growth and career advancement.

- Access to cutting-edge technologies and innovative projects.

- Comprehensive health insurance and wellness programs.

- A collaborative and inclusive work environment.


Functional Areas: Other

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