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Open nowPosted 15 hours ago

AI Engineer

Weekday AI

Where
Bengaluru, KA, India
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Your applicationOpen nowAI EngineerWeekday AI · Bengaluru, KA, India

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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
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  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 15 hours ago

The posting

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟴𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟮𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟴-𝟮𝟬 𝗟𝗣𝗔)

Experience: 5+ yrs

Location: Bengaluru, Karnataka, India

As a AI Engineer, you will spearhead the development and deployment of cutting‑edge artificial intelligence solutions that drive business value for complex, data‑rich environments. You will design, implement, and optimise machine learning pipelines, leveraging advanced generative AI techniques and ensuring scalability across cloud platforms. Your work will involve close collaboration with data scientists, product managers, and domain experts to translate business challenges into robust AI models that are both performant and auditable. With a strong foundation in Python and deep expertise in MCP frameworks, you will continuously iterate on model performance and integrate new AI capabilities into existing systems, while maintaining high standards of code quality and documentation.

Requirements

𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀

• Design and develop end‑to‑end AI solutions using Python, TensorFlow/PyTorch, and MCP tools.

• Build and maintain scalable machine learning pipelines that support real‑time inference and batch processing.

• Integrate generative AI models (e.g., GPT, Stable Diffusion) into product workflows to enhance user experience and content creation.

• Conduct rigorous model validation, testing, and performance evaluation to ensure reliability and compliance with industry standards.

• Optimize models for latency, throughput, and resource utilization across on‑premise and cloud infrastructures.

• Work closely with data engineering teams to curate high‑quality datasets and implement data ingestion workflows.

• Collaborate with software engineers to embed AI services into microservices architectures and RESTful APIs.

• Monitor deployed models for drift, accuracy, and ethical considerations, implementing retraining pipelines as needed.

• Lead code reviews and mentor junior engineers on best practices in AI development and deployment.

• Stay abreast of the latest research in generative AI and MCP, translating cutting‑edge findings into practical solutions.

𝗪𝗵𝗮𝘁 𝗠𝗮𝗸𝗲𝘀 𝗬𝗼𝘂 𝗮 𝗚𝗿𝗲𝗮𝘁 𝗙𝗶𝘁

• 5+ years of professional experience in AI/Machine Learning engineering roles.

• Proven expertise in Python, including advanced libraries such as NumPy, Pandas, Scikit‑Learn, and deep learning frameworks.

• Hands‑on experience with MCP (Model Compression and Pruning) techniques for deploying models on edge and low‑latency environments.

• Strong background in designing, training, and fine‑tuning generative AI models like GPT, BERT, and Diffusion models.

• Demonstrated ability to deploy AI solutions at scale using Kubernetes, Docker, and cloud platforms (AWS, GCP, Azure).

• Excellent problem‑solving skills with a track record of delivering robust, production‑ready AI systems.

• Ability to translate complex technical concepts into clear, actionable insights for cross‑functional teams.

• Strong communication skills, comfortable presenting findings to both technical and non‑technical stakeholders.

• Experience with CI/CD pipelines and automated testing frameworks for AI models.

• A passion for continuous learning, staying updated on emerging AI research and industry best practices.

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