12,698 AI Ml Engineer jobs in India
AI/ML Engineer - Natural Language Processing
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AI/ML Engineer - Natural Language Processing
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- Designing, building, and optimizing NLP models for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and question answering.
- Developing and implementing deep learning architectures and algorithms for NLP tasks using frameworks like TensorFlow, PyTorch, or Keras.
- Pre-processing and cleaning large volumes of text data, performing feature engineering, and evaluating model performance.
- Collaborating with data scientists, software engineers, and product managers to integrate NLP solutions into products and services.
- Conducting research into new NLP techniques and technologies, staying at the forefront of the field.
- Deploying trained models into production environments and monitoring their performance.
- Experimenting with transfer learning, fine-tuning pre-trained language models (e.g., BERT, GPT), and developing custom models.
- Contributing to the development of scalable and efficient machine learning pipelines.
- Documenting model architectures, methodologies, and results, and presenting findings to technical and non-technical audiences.
- Ensuring ethical considerations and bias mitigation are addressed in AI/ML model development and deployment.
Remote AI/ML Engineer - Natural Language Processing
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Responsibilities:
- Design, develop, and deploy NLP models and algorithms.
- Implement machine learning pipelines for text processing and analysis.
- Utilize deep learning frameworks for advanced NLP tasks (e.g., BERT, GPT).
- Optimize model performance and ensure scalability.
- Collaborate with cross-functional teams to integrate NLP solutions.
- Conduct research and stay abreast of the latest advancements in AI and NLP.
- Contribute to data preprocessing and feature engineering.
- Develop and maintain documentation for models and systems.
- Master's or Ph.D. in Computer Science, AI, Machine Learning, or a related quantitative field.
- 3+ years of experience in developing and deploying NLP models.
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
- Strong understanding of NLP techniques (e.g., tokenization, embeddings, sequence-to-sequence models).
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities in a remote setting.
Senior AI/ML Engineer, Natural Language Processing
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- Designing, developing, and implementing state-of-the-art NLP algorithms and models for various applications such as text classification, sentiment analysis, machine translation, and question answering.
- Collaborating with product managers and data scientists to define AI product requirements and translate them into technical specifications.
- Pre-processing and cleaning large volumes of text data to prepare it for model training.
- Experimenting with different machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn) to optimize model performance.
- Evaluating and fine-tuning models for accuracy, efficiency, and scalability.
- Deploying NLP models into production environments and monitoring their performance.
- Staying abreast of the latest research and advancements in NLP and machine learning.
- Contributing to the development of AI infrastructure and MLOps pipelines.
- Mentoring junior engineers and sharing knowledge within the team.
- Publishing research findings and contributing to the AI community.
We require a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. A minimum of 5 years of experience in developing and deploying NLP models in a professional setting is essential. Proven expertise in Python and ML libraries like TensorFlow, PyTorch, and Hugging Face Transformers is mandatory. Strong understanding of deep learning architectures (e.g., Transformers, LSTMs, CNNs) and their application to NLP tasks is required. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus. Excellent problem-solving abilities, strong analytical skills, and a passion for innovation in AI are crucial for this role. If you are a talented AI/ML professional looking for a challenging and impactful remote position at the forefront of AI innovation, we want to hear from you.
Remote AI/ML Engineer - Natural Language Processing
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Key Responsibilities:
- Develop and implement state-of-the-art NLP models and algorithms using Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers).
- Process and analyze large volumes of text data for various NLP tasks, including text classification, named entity recognition, topic modeling, and question answering.
- Build and optimize deep learning architectures for NLP applications, such as Recurrent Neural Networks (RNNs), Transformers, and attention mechanisms.
- Design and conduct experiments to evaluate model performance and iterate on improvements.
- Collaborate with data engineers to build robust data pipelines for training and deploying NLP models.
- Deploy machine learning models into production environments, ensuring scalability, reliability, and efficiency.
- Stay current with the latest research and advancements in NLP and machine learning.
- Translate business requirements into technical solutions and communicate complex technical concepts clearly to non-technical stakeholders.
- Contribute to the intellectual property of the company through research and innovation in AI and NLP.
- Participate in code reviews and contribute to the overall quality of the engineering codebase.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven experience (3+ years) in developing and deploying NLP models in a production environment.
- Strong programming skills in Python and experience with machine learning frameworks.
- Deep understanding of NLP techniques, libraries, and frameworks.
- Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Excellent analytical, problem-solving, and algorithmic thinking skills.
- Strong communication and collaboration abilities, essential for remote work.
Remote AI/ML Engineer - Natural Language Processing
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Senior AI/ML Engineer - Natural Language Processing
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The ideal candidate will have a strong theoretical understanding of machine learning algorithms and deep learning architectures, with a particular focus on NLP techniques. Proficiency in programming languages like Python and relevant libraries (e.g., TensorFlow, PyTorch, spaCy, NLTK) is essential. Experience with large-scale datasets and distributed computing frameworks (e.g., Spark) is highly desirable. You should be adept at translating complex business requirements into technical solutions and possess excellent problem-solving and communication skills. This role requires a proactive approach to research and development, staying abreast of the latest advancements in AI and NLP.
Key Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of hands-on experience in AI/ML engineering, with a specialization in NLP.
- Proven track record of developing and deploying production-ready NLP models.
- Strong programming skills in Python and experience with ML/DL frameworks.
- Deep understanding of NLP concepts, algorithms, and libraries.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Strong communication and collaboration skills for a remote team environment.
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Remote AI/ML Engineer - Natural Language Processing
Posted today
Job Viewed
Job Description
Remote AI/ML Engineer - Natural Language Processing
Posted today
Job Viewed
Job Description
- Design, develop, and implement state-of-the-art NLP models and algorithms for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and question answering.
- Utilize deep learning frameworks like TensorFlow, PyTorch, or Keras for model development and training.
- Preprocess and clean large text datasets, ensuring data quality for model training.
- Evaluate and fine-tune model performance to achieve optimal accuracy and efficiency.
- Deploy NLP models into production environments, integrating them with existing systems.
- Collaborate with data scientists, software engineers, and product managers in a remote setting to define project requirements and deliver solutions.
- Research and stay abreast of the latest advancements in NLP, AI, and machine learning.
- Develop and maintain robust data pipelines for NLP model development and deployment.
- Write clean, well-documented, and efficient code in Python or other relevant programming languages.
- Contribute to the architectural design of AI-powered features and products.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of professional experience in AI/ML engineering, with a strong specialization in NLP.
- Proven experience developing and deploying NLP models using deep learning techniques.
- Proficiency in programming languages such as Python and experience with relevant libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
- Hands-on experience with machine learning frameworks (TensorFlow, PyTorch).
- Solid understanding of NLP concepts, algorithms, and evaluation metrics.
- Experience with cloud platforms (AWS, Azure, GCP) for ML model deployment is a plus.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills, essential for effective remote teamwork.
- Ability to work independently, manage time effectively, and meet project deadlines.
Remote Senior AI/ML Engineer - Natural Language Processing
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Responsibilities:
- Design, develop, and deploy advanced NLP models and algorithms for various applications, including sentiment analysis, text generation, machine translation, and question answering.
- Build and manage large-scale text datasets, ensuring data quality and integrity for model training.
- Implement state-of-the-art machine learning techniques and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Develop robust and scalable machine learning pipelines for model training, evaluation, and deployment.
- Collaborate with product managers, data scientists, and software engineers to define project requirements and deliver high-quality AI solutions.
- Conduct research on new NLP techniques and technologies, evaluating their potential application to our products.
- Optimize model performance for efficiency, accuracy, and scalability.
- Write clean, maintainable, and well-documented code.
- Mentor junior engineers and contribute to knowledge sharing within the team.
- Present technical findings and project progress to stakeholders.
- Ensure MLOps best practices are followed for deployment and monitoring.
- Troubleshoot and resolve issues in deployed ML models.
- Stay current with advancements in the AI/ML and NLP research communities.
- Contribute to the strategic roadmap for AI product development.
- Design and implement A/B testing for model improvements.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 6 years of experience in AI/ML engineering, with a strong focus on Natural Language Processing.
- Proven expertise in developing and deploying production-ready NLP models.
- Proficiency in programming languages such as Python.
- Hands-on experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
- Solid understanding of NLP concepts such as word embeddings, attention mechanisms, transformers, and sequence-to-sequence models.
- Experience with cloud platforms (AWS, GCP, Azure) and ML deployment tools.
- Strong understanding of data structures, algorithms, and software engineering principles.
- Excellent problem-solving, analytical, and critical thinking skills.
- Effective communication and collaboration skills for a remote team environment.
- Experience with large language models (LLMs) is highly desirable.
- Published research in top-tier AI/NLP conferences or journals is a plus.
Join our innovative team and shape the future of AI-powered solutions.