AI Engineer for AI CoE Team

Job Description

Role: AI Engineer for AI CoE Team (Multiple Openings)
Location: Greater Noida & Bangaluru
Duration: Full Time
Work Mode: Hybrid (3 Days in office every week)
Experience: 5-10 Years

MUST HAVE SKILLS:
1: AI (Artificial Intelligence), Cognitive AI techniques such as NLP, Computer vision, Speech & Conversational AI
2: Generative AI and Chat GPT (Nice to Have)
3: MLOPS (tools such as Kubeflow, MLflow, or Azure ML)
4: Cloud platforms such as AWS, Azure, or GCP
5: Programming languages such as Python, Java

KEY RESPONSIBILITIES:
Design, develop, and deploy AI models tailored to specific project requirements, including Cognitive AI techniques such as NLP, Computer vision, Speech & Conversational AI.Good understanding of Document AI development processes, models, and applications.Good to have knowledge of Generative AI Models & applications.Experience delivering and maintaining productionized end-to-end Machine Learning solutions, form data preparation, experimentation, model training, model serving, and model update.Utilize MLOps methodologies to streamline the development, deployment, and monitoring of machine learning models.Collaborate with data scientists, ML engineers, and other stakeholders to transition prototypes to production.Optimize and refine algorithms to improve performance and functionality.Ensure integration of AI solutions into cloud platforms such as AWS, Azure, or GCP.Stay updated with the latest AI, LLMs, MLOps, and machine learning trends, techniques, and best practices.Ensure the robustness, scalability, and reliability of AI solutions.Experience in implementing CI/CD pipelines using Azure DevOps/TFS.Provide technical leadership and mentorship in AI to other team members.Work closely with cross-functional teams to integrate AI solutions into products and services.

REQUIREMENTS:
At least having 5-10 years of experience in AIML.Proven experience in AI, ML, MLOps, Text Analytics and Generative AI.Strong proficiency in programming languages such as Python, Java.Experience with machine learning frameworks like TensorFlow, PyTorch, Keras, or Scikit-learn.Hands-on experience with cloud platforms such as AWS, Azure, or GCP.Experience in Machine Learning and Neural Network architectures like Ensemble Models, SVM, CNN, RNN, Transformers, etc.Experience in Natural language processing (NLP) tools: NLTK, Spacy, and Gensim.Experience in MLOps tools such as Kubeflow, MLflow, or Azure ML
Knowledge/hands-on experience with workflow tools like Airflow.Experience with Microservices architecture.Experience with SQL and NoSQL databases such as MongoDB, Postgres, Neo4j, etc.Experienced with Rest API python frameworks such as Fast API/Flask/Django.Excellent problem-solving skills and a collaborative mindset.Strong communication skills to work effectively with diverse teams.

PREFERRED QUALIFICATIONS:
Bachelor's or master’s or PHD in Statistics, Mathematics, Computer Science, or another quantitative field.Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.Experience in querying databases and using statistical computer languages: R, Python etc.Published research or contributions to open-source AI/ML projects.Experience visualizing/presenting data for stakeholders using: Matplotlib, ggplot, etc.Good to have experience with big data platforms and tools like Hadoop, Spark, or Kafka.

Posted On

Role: AI Engineer for AI CoE Team (Multiple Openings)
Location: Greater Noida & Bangaluru
Duration: Full Time
Work Mode: Hybrid (3 Days in office every week)
Experience: 5-10 Years

 

MUST HAVE SKILLS:
1: AI (Artificial Intelligence), Cognitive AI techniques such as NLP, Computer vision, Speech & Conversational AI
2: Generative AI and Chat GPT (Nice to Have)
3: MLOPS (tools such as Kubeflow, MLflow, or Azure ML)
4: Cloud platforms such as AWS, Azure, or GCP
5: Programming languages such as Python, Java

 

KEY RESPONSIBILITIES:
Design, develop, and deploy AI models tailored to specific project requirements, including Cognitive AI techniques such as NLP, Computer vision, Speech & Conversational AI.Good understanding of Document AI development processes, models, and applications.Good to have knowledge of Generative AI Models & applications.Experience delivering and maintaining productionized end-to-end Machine Learning solutions, form data preparation, experimentation, model training, model serving, and model update.Utilize MLOps methodologies to streamline the development, deployment, and monitoring of machine learning models.Collaborate with data scientists, ML engineers, and other stakeholders to transition prototypes to production.Optimize and refine algorithms to improve performance and functionality.Ensure integration of AI solutions into cloud platforms such as AWS, Azure, or GCP.Stay updated with the latest AI, LLMs, MLOps, and machine learning trends, techniques, and best practices.Ensure the robustness, scalability, and reliability of AI solutions.Experience in implementing CI/CD pipelines using Azure DevOps/TFS.Provide technical leadership and mentorship in AI to other team members.Work closely with cross-functional teams to integrate AI solutions into products and services.

 

REQUIREMENTS:
At least having 5-10 years of experience in AIML.Proven experience in AI, ML, MLOps, Text Analytics and Generative AI.Strong proficiency in programming languages such as Python, Java.Experience with machine learning frameworks like TensorFlow, PyTorch, Keras, or Scikit-learn.Hands-on experience with cloud platforms such as AWS, Azure, or GCP.Experience in Machine Learning and Neural Network architectures like Ensemble Models, SVM, CNN, RNN, Transformers, etc.Experience in Natural language processing (NLP) tools: NLTK, Spacy, and Gensim.Experience in MLOps tools such as Kubeflow, MLflow, or Azure ML
Knowledge/hands-on experience with workflow tools like Airflow.Experience with Microservices architecture.Experience with SQL and NoSQL databases such as MongoDB, Postgres, Neo4j, etc.Experienced with Rest API python frameworks such as Fast API/Flask/Django.Excellent problem-solving skills and a collaborative mindset.Strong communication skills to work effectively with diverse teams.

 

PREFERRED QUALIFICATIONS:
Bachelor's or master’s or PHD in Statistics, Mathematics, Computer Science, or another quantitative field.Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.Experience in querying databases and using statistical computer languages: R, Python etc.Published research or contributions to open-source AI/ML projects.Experience visualizing/presenting data for stakeholders using: Matplotlib, ggplot, etc.Good to have experience with big data platforms and tools like Hadoop, Spark, or Kafka.

Skills Required

Bachelor's or master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc, Experience creating and using advanced machine learning algorithms and statistics: regression, simulation

Posted On Bachelor's or master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc, Experience creating and using advanced machine learning algorithms and statistics: regression, simulation Location

Bangalore / Greater Noida

Posted On Bangalore / Greater Noida

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