ML Engineer CAPGEMINI TECHNOLOGY SERVICES INDIA LIMITED

6.0 - 11.0 years

0 - 0 Lacs

bangalore, chennai, noida

On-site

AIML Engineer Experience: 6 to 12 Years Location: PAN India Job Description: Proven experience in developing machine learning models. Expert-level skills in data handling and SQL. Hands-on expertise in model engineering and improvement. Strong background in deploying and productionizing ML models. Extensive experience with machine learning, deep learning, and NLP models across diverse domains. Proficient in Python and popular ML libraries/frameworks like scikit-learn, XGBoost, and Keras, with the ability to write clean, efficient, and scalable code. Skilled in improving model accuracy through feature engineering, feature selection, and data augmentation. Ability to analyze model outputs, identify trends, and iteratively optimize model performance. Deep understanding of the complete ML deployment lifecycle, including data preprocessing, model training, optimization, and production integration.

Posted 2 days ago

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AIML Engineer Throughbit Technologies

1.0 - 6.0 years

2 - 7 Lacs

Coimbatore

Work from Office

Education: Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related certifications or experience in NLP & CV. Years of Experience: Minimum 2 years of experience in Deep Learning, NLP,CV, MLOps and its related technologies. Responsibilities: - Design, develop, and deploy state-of-the-art NLP and CV models and algorithm - Collaborate with cross-functional teams to understand requirements and develop customised NLP & CV solutions and have experience in building the python backend using Flask / Django. - Database integration preferably using MongoDB or any other vector databases. - Maintain and improve the performance, accuracy, and efficiency of existing AI/ML models and their deployment on Cloud platforms (AWS) and monitor their performance using MLOps tools such as MLFlow, DVC. - Experience in building End to End data pipelines - Stay updated with emerging AI/ML technologies, LLMs ,RAG - Conduct regular performance evaluations of AI/ML models using production grade MLOps solutions. - Troubleshoot and resolve any issues arising from the implementation of NLP & CV models. - Develop and monitor the code that runs in production environments using MLOps practices. Requirements: - Strong experience with Deep learning and NLP frameworks such as TensorFlow or other open-source machine learning frameworks. - Experience of using both tensorflow and pytorch frameworks - Proficient in programming languages, such as Python or Java, and experience with AI/ML libraries. - Familiarity with the integration of APIs, such as REST API, OpenAI API, for implementing advanced AI-driven features. - Solid understanding of Machine learning and Deep learning algorithms, concepts, and best practices in a production environment using MLOps. - Experience with big data technologies, such as Hadoop and Spark, is a plus. - Strong problem-solving skills. - Excellent communication and teamwork skills, with the ability to collaborate effectively with team members from various disciplines. - Eagerness to learn and adapt to new technologies and industry trends.

Posted 2 months ago

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