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Location

Bangalore | India

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Job description

Are you passionate about driving innovation in the field of generative AI and shaping the future of high-scale backend systems?

We are seeking a dynamic

Architect (Data Science)

for our client's team to play a pivotal role in the conception, design, and implementation of groundbreaking AI products.

Our client is a software product company exceling in Gen-AI B2B products.

Roles and Responsibilities : Architectural Excellence:

Enhance and support scalable, reliable, and cost-efficient architectures, ensuring compliance with industry standards and regulations. Technical Leadership:

Serve as a subject matter expert for Advanced Analytics and AI solutions, including AI, ML, Advanced Analytics, and NLP. Proof-of-Concept Development:

Develop proof-of-concept demos and production-quality systems to bring innovative product features to life. AI/ML Implementation:

Build and deploy AI models, shape business demand for digital capabilities, and accelerate AI solution development cycles. Framework Development:

Create robust frameworks, templates, and governance models to expedite AI solution development, ensuring timely delivery and market relevance. Security and Compliance:

Champion security, compliance, responsible AI, and cloud best practices, fostering a culture of excellence and ethical conduct. Database Design and Optimization:

Design and implement databases, enforce standards, and conduct performance tuning for efficient data storage and retrieval. Cloud Expertise:

Utilize AWS services to architect and oversee scalable and high-performance data solutions while maintaining robust security measures.

Skills Required : Education and Experience: Bachelor's/Master's/PhD in Computer Science, MIS, or related field. 10+ years of hands-on programming experience, with 5+ years in architecting SaaS solutions on public/private clouds. Technical Skills: Proficiency in Python, deep learning frameworks (Tensorflow/PyTorch), AWS native services, big data tools (Spark, Hadoop, Hive, Kafka), and data engineering best practices. AI/ML Knowledge: Fundamentals of ML, neural networks, NLP concepts, deep learning architectures (CNNs, RNNs, GANs), and experience building AI models in platforms like Keras, TensorFlow. Soft Skills: Exceptional technical leadership, communication skills, ability to work with virtual teams, and drive solution clarity for complex problems.

Nice to Have : Experience in the cybersecurity industry or related fields. Advanced degrees (MS or Ph.D.) in Computer Science, Data Science, or a related field. AWS Solutions Architect professional certification.

If you're ready to make an impact, apply now or reach out at [email protected] for more details.

#AIArchitect #AIInnovation #JobOpportunity

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Job tags

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Salary