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Artificial Intelligence Architect - Early joiners Preferred @ Coforge

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 Artificial Intelligence Architect - Early joiners Preferred

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 & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time

Contact Details:

Company: Coforge
Location(s): Hyderabad

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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

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...