Artificial Intelligence Architect - Early joiners Preferred
- Coforge
- 14 - 24 years
- Hyderabad
- 3 months ago
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Job Description
Role: Senior AI Architect - Looking for early Joiners
Key Responsibilities:
- Create Architecture using latest Ai frameworks along with 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 10 to 12 years of experience in AI/ML and other Architectural initiatives.
- Proven experience in AI, ML, MLOps, Text Analytics and good to have Generative AI implementation experience.
- 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 RestAPI 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 masters 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
- Good to have experience with data platforms and tools like Hadoop, Spark, or Kafka.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full timeContact Details:
Company: CoforgeLocation(s): Hyderabad
Keyskills: Architecture AI Pytorch Generative Ai Text Analytics Natural Language Processing Neural Networks Computer Vision Machine Learning Scikit-Learn Python
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Coforge is a leading global IT solutions organization, enabling its clients to transform at the intersect of unparalleled domain expertise and emerging technologies to achieve real-world business impact. A focus on very select industries, a detailed understanding of the underlying processes of those...
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