Posted on: 23/05/2025
Key Responsibilities :
- Design, develop, train, and deploy advanced AI/ML models and algorithms.
- Focus on building and implementing solutions utilizing Generative AI (Gen AI) techniques and frameworks.
- Develop and apply Natural Language Processing (NLP) models for various text-based applications (e.g., text generation, summarization, understanding, sentiment analysis).
- Work with large and complex datasets, performing data cleaning, preprocessing, feature engineering, and validation to prepare data for model training.
- Write high-quality, efficient, and scalable code primarily in Python.
- Utilize relevant AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers).
- Integrate AI/ML models into existing applications and systems.
- Participate in the deployment, monitoring, and maintenance of AI/ML solutions in production environments.
- Stay updated with the latest advancements in AI, Machine Learning, Generative AI, and NLP research.
- Experiment with new technologies and methodologies to continuously improve model performance and capabilities.
- Collaborate effectively with cross-functional teams, including product managers, data scientists, software engineers, and domain experts.
- Communicate complex technical concepts and findings clearly to both technical and non-technical stakeholders.
- Apply strong analytical and problem-solving skills to address challenging AI/ML tasks and optimize model performance.
Required Skills & Qualifications :
- Strong hands-on experience in AI/ML model development.
- Mandatory expertise in Python programming language for data science and machine learning.
- Mandatory experience with Natural Language Processing (NLP).
- Demonstrated experience or strong interest in Generative AI (Gen AI) techniques and models (e.g., LLMs, GANs, VAEs, Transformers).
- Solid understanding of machine learning fundamentals, algorithms, and statistical modeling.
- Experience with relevant AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, Keras, scikit-learn).
- Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Excellent problem-solving, analytical, and debugging skills.
- Strong communication and collaboration abilities.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
Preferred (Bonus) Skills :
- Familiarity with MLOps practices, including model versioning, monitoring, and deployment pipelines.
- Experience with big data technologies (e.g., Spark, Hadoop).
- Knowledge of specific domain applications of AI/ML.
- Contributions to open-source projects or relevant publications.
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Posted By
Sivasakthi
Last Login: NA as recruiter has posted this job through third party tool.
Posted in
AI/ML
Functional Area
ML / DL Engineering
Job Code
1484572
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