AI/ML Solution Architect

Job DescriptionAs an AI/ML Architect, you will be a key member of our dynamic team, responsible for spearheading the design, development, and implementation of cutting-edge artificial intelligence and machine learning solutions. Leveraging your background as a Software Architect, preferably with experience in a product company, you will bring innovative approaches to tackle complex problems. Your role will involve delving into AI and Data Science domains, with at least 2 years of hands-on experience, and a strong focus on Natural Language Processing (NLP). We're seeking a smart, innovative individual who isn't afraid to explore new technologies and continuously learn to stay at the forefront of advancements in the field.

Responsibilities:Solution Architecture: Utilize your software architect background to design robust and scalable AI/ML solutions that address challenging business requirements.

Innovative Problem Solving: Bring forth fresh and creative approaches to solving problems, leveraging your expertise in both software architecture and AI/ML.

AI Virtual Assistants: Develop AI virtual assistants using Google Dialogflow, OpenAI GPT, and Azure Bot Service, ensuring seamless integration with existing systems.

Platform Expertise: Utilize your knowledge of different platforms and services within Google Cloud Platform to architect robust and efficient AI solutions.

Serverless Functions: Implement serverless functions using Azure Functions, Google Cloud Functions, etc., to deploy and manage AI services efficiently.

Cloud Firestore Integration: Integrate Cloud Firestore from Firebase for real-time data synchronization and seamless data storage in AI applications.

Image Processing: Implement image processing techniques using TensorFlow or OpenCV to extract valuable insights from visual data.

Model Training and Evaluation: Develop custom models using TensorFlow for specialized tasks, ensuring high accuracy and performance through rigorous evaluation.

Deployment and Optimization: Deploy AI models on cloud platforms, optimize them for performance and scalability, and manage versioning and updates.

AI/DS Expertise: Apply your background in AI and Data Science to develop advanced machine learning algorithms and models.

NLP Focus: Utilize your strong knowledge of Natural Language Processing to develop NLP-based solutions for various applications, such as text analysis, sentiment analysis, and chatbots.

Continuous Learning: Stay abreast of the latest trends and technologies in AI/ML and related fields, and eagerly explore and learn new technologies to enhance our solutions.

Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to understand business requirements and translate them into AI/ML solutions.

Experimentation and Prototyping: Rapidly prototype and experiment with different AI/ML approaches to validate hypotheses and identify optimal solutions.

Technical Leadership: Provide technical leadership and mentorship to junior team members, fostering a culture of innovation and continuous learning.

Requirements

Preferred Skills:Bachelor’s degree in computer science or equivalent, having overall 8+ years of industry experience with at least 2+ years in AI/ML, Data Science, and related field.

Proven experience as a Software Architect, preferably in a product company, with a track record of designing and delivering complex software systems.

Extensive experience in designing and implementing AI/ML solutions, with a focus on open-source LLMs and virtual assistants.

Expertise in Natural Language Processing (NLP), including text processing, sentiment analysis, named entity recognition, etc.

Strong programming skills in languages commonly used in AI/ML development, such as Python,.NET.

Proficiency in building custom models using TensorFlow for various applications.

Strong understanding of different platforms and services in Google Cloud Platform.

Hands-on experience with serverless functions from Azure, Google Cloud Platform, etc.

Familiarity with Cloud Firestore from Firebase for real-time data synchronisation and storage.

Expertise in image processing techniques using TensorFlow, OpenCV, or similar libraries.

Eagerness to explore and learn new technologies and methodologies, with a growth mindset and a passion for innovation.

Excellent problem-solving abilities and the ability to think critically and analytically to devise creative solutions to complex technical challenges.

Strong communication and collaboration skills, with the ability to interact with team members effectively and stakeholders at all levels.

RequirementsAs an AI/ML Architect, you will be a key member of our dynamic team, responsible for spearheading the design, development, and implementation of cutting-edge artificial intelligence and machine learning solutions. Leveraging your background as a Software Architect, preferably with experience in a product company, you will bring innovative approaches to tackle complex problems. Your role will involve delving into AI and Data Science domains, with at least 2 years of hands-on experience, and a strong focus on Natural Language Processing (NLP). We're seeking a smart, innovative individual who isn't afraid to explore new technologies and continuously learn to stay at the forefront of advancements in the field. Responsibilities: Solution Architecture: Utilize your software architect background to design robust and scalable AI/ML solutions that address challenging business requirements. Innovative Problem Solving: Bring forth fresh and creative approaches to solving problems, leveraging your expertise in both software architecture and AI/ML. AI Virtual Assistants: Develop AI virtual assistants using Google Dialogflow, OpenAI GPT, and Azure Bot Service, ensuring seamless integration with existing systems. Platform Expertise: Utilize your knowledge of different platforms and services within Google Cloud Platform to architect robust and efficient AI solutions. Serverless Functions: Implement serverless functions using Azure Functions, Google Cloud Functions, etc., to deploy and manage AI services efficiently. Cloud Firestore Integration: Integrate Cloud Firestore from Firebase for real-time data synchronization and seamless data storage in AI applications. Image Processing: Implement image processing techniques using TensorFlow or OpenCV to extract valuable insights from visual data. Model Training and Evaluation: Develop custom models using TensorFlow for specialized tasks, ensuring high accuracy and performance through rigorous evaluation. Deployment and Optimization: Deploy AI models on cloud platforms, optimize them for performance and scalability, and manage versioning and updates. AI/DS Expertise: Apply your background in AI and Data Science to develop advanced machine learning algorithms and models. NLP Focus: Utilize your strong knowledge of Natural Language Processing to develop NLP-based solutions for various applications, such as text analysis, sentiment analysis, and chatbots. Continuous Learning: Stay abreast of the latest trends and technologies in AI/ML and related fields, and eagerly explore and learn new technologies to enhance our solutions. Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to understand business requirements and translate them into AI/ML solutions. Experimentation and Prototyping: Rapidly prototype and experiment with different AI/ML approaches to validate hypotheses and identify optimal solutions. Technical Leadership: Provide technical leadership and mentorship to junior team members, fostering a culture of innovation and continuous learning. Preferred Skills: Bachelor’s degree in computer science or equivalent, having overall 8+ years of industry experience with at least 2+ years in AI/ML, Data Science, and related field. Proven experience as a Software Architect, preferably in a product company, with a track record of designing and delivering complex software systems. Extensive experience in designing and implementing AI/ML solutions, with a focus on open-source LLMs and virtual assistants. Expertise in Natural Language Processing (NLP), including text processing, sentiment analysis, named entity recognition, etc. Strong programming skills in languages commonly used in AI/ML development, such as Python, .NET. Proficiency in building custom models using TensorFlow for various applications. Strong understanding of different platforms and services in Google Cloud Platform. Hands-on experience with serverless functions from Azure, Google Cloud Platform, etc. Familiarity with Cloud Firestore from Firebase for real-time data synchronization and storage. Expertise in image processing techniques using TensorFlow, OpenCV, or similar libraries. Eagerness to explore and learn new technologies and methodologies, with a growth mindset and a passion for innovation. Excellent problem-solving abilities and the ability to think critically and analytically to devise creative solutions to complex technical challenges. Strong communication and collaboration skills, with the ability to effectively interact with team members and stakeholders at all levels.

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