Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Data & AI Solution Architecture
Good to have skills : Python (Programming Language)
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years of regular education

Summary: As a Data & AI Solution Architect with 5 years of experience, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying GenAI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities: - Lead the design and development of AI-based solutions, utilizing Python programming language and associated libraries. - Collaborate with cross-functional teams to ensure proper cloud or on-prem application pipeline with production-ready quality. - Apply GenAI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. - Stay updated with the latest advancements in AI and machine learning, integrating innovative approaches for sustained competitive advantage. - Communicate technical findings effectively to stakeholders, utilizing data visualization tools for clarity. - Collaborate with cross-functional teams to understand business requirements and translate them into AI-driven solutions. - Design, develop, and deploy AI models using Python, leveraging Azure Machine Learning Services. - Integrate OpenAI's APIs and libraries into existing applications or develop custom solutions as per project requirements. - Implement data preprocessing, feature engineering, and model training pipelines to ensure high-quality data ingestion and processing. - Optimize AI models for performance, scalability, and cost-effectiveness by leveraging Azure cloud infrastructure and services. - Conduct thorough testing, debugging, and troubleshooting of AI applications to ensure reliability and stability. - Stay updated with the latest advancements in AI, Azure, and OpenAI technologies to incorporate industry best practices and innovations into development processes. - Collaborate with DevOps teams to automate deployment processes and ensure smooth integration of AI solutions into existing systems. - Provide technical guidance and mentorship to junior developers, fostering a culture of learning and continuous improvement within the team. - Communicate effectively with stakeholders to gather feedback, address concerns, and ensure alignment with project goals and objectives Professional & Technical Skills: - Must To Have Skills: Strong understanding of Data & AI Solution Architecture. - Good To Have Skills: Proficiency in Python programming language. - Experience with AI tools and Cloud AI services. - Experience with deep learning, neural networks, chatbots, and image processing. - Proven experience working as a Python Developer, with a focus on AI and machine learning. - Hands-on experience with Azure cloud services, including Azure Machine Learning Services, Azure Databricks, Azure Functions, and Azure DevOps. - Proficiency in developing AI models using popular Python libraries such as TensorFlow, PyTorch, scikit-learn, or Keras. - Familiarity with OpenAI's APIs and frameworks, such as GPT (Generative Pre-trained Transformer) models. - Strong understanding of software engineering principles, design patterns, and best practices. - Experience with version control systems (e.g., Git) and CI/CD pipelines. - Excellent problem-solving skills and attention to detail. - Effective communication skills with the ability to convey complex technical concepts to non-technical stakeholders. - Ability to work both independently and collaboratively in a fast-paced, agile environment - Certification in Azure AI or related technologies. - Experience deploying AI solutions in production environments. - Knowledge of natural language processing (NLP) techniques and applications. - Experience with containerization technologies (e.g., Docker, Kubernetes). - Understanding of big data technologies and frameworks (e.g., Hadoop, Spark). - Familiarity with reinforcement learning algorithms and applications. - Active participation in AI and machine learning communities, such as GitHub, Stack Overflow, or Kaggle. - Prior experience in developing AI solutions for specific industries such as healthcare, finance, or e-commerce. Additional Information: - The candidate should have a minimum of 5 years of experience in Data & AI Solution Architecture. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - This position is based at our Chennai office.

15 years of regular education

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