Job Description

Skills
Skill


JAVA


PYTHON


AWS CLOUD


AZURE


GOOGLE CLOUD


APACHE KAFKA


HADOOP


DATA MINING


MACHINE LEARNING


Minimum Qualification


B.TECH/B.E

Role

AI Solution Architect / Solution Architect (12- 15 Years)

Visit our website

bmwtechworks.in

to know more.

What awaits you/ Job Profile

Solution Design:

Develop comprehensive architecture plans that incorporate AI technologies to solve complex business problems and enhance operational efficiency.

AI Integration:

Work with data scientists and engineers to integrate AI models and algorithms into business applications, ensuring scalability and performance.

Stakeholder Collaboration:

Engage with business leaders and technical teams to gather requirements and translate them into effective AI solutions.

Technology Evaluation:

Stay updated with the latest AI technologies and tools, evaluating their applicability to current and future projects.

Quality Assurance:

Implement best practices for AI model development and deployment, ensuring high-quality and reliable solutions.

Risk Management:

Identify potential risks associated with AI implementations and develop strategies to mitigate them.

Performance Monitoring:

Monitor the performance of AI solutions, using data-driven insights to optimize and improve outcomes

What should you bring along

Proven experience in solution architecture and AI technologies. Strong understanding of machine learning, deep learning, and data analytics. Excellent leadership, communication, and organizational skills. Proficiency in AI frameworks and programming languages such as Python, TensorFlow, and PyTorch.

Must have skill

Machine Learning & Deep Learning:

Proficiency in designing, training, and deploying machine learning models and deep learning architectures.

Programming Languages:

Strong coding skills in languages such as Python, R, Java, or C++.

AI Frameworks:

Experience with AI frameworks and libraries like TensorFlow, PyTorch, Keras, and Scikit-learn.

Data Management:

Expertise in data preprocessing, data mining, and data visualization techniques.

Cloud Computing:

Familiarity with cloud platforms such as AWS, Azure, or Google Cloud, especially their AI and machine learning services.

Big Data Technologies:

Knowledge of big data tools like Hadoop, Spark, and Kafka for handling large datasets.

Natural Language Processing (NLP):

Understanding of NLP techniques for processing and analyzing text data.

Good to have technical skills

Strong analytical and problem-solving skills. Ability to manage multiple projects simultaneously. Excellent time management and organizational skills. * Strong interpersonal skills and ability to work collaboratively across departments.