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hirist

Senior AI Integration Engineer

Recruitment Hub 365
5 - 8 Years
Pune

Posted on: 10/08/2026

Job Description

About the Role :

We are seeking an AI Integration Engineer to design, develop, and deploy next-generation AI solutions that drive measurable business outcomes. This role involves leading a team of AI Engineers and Data Scientists, architecting intelligent systems, and implementing scalable AI/ML solutions using Python, NLP, Generative AI, and MLOps. You will collaborate closely with cross-functional teamsincluding product managers, business stakeholders, and software engineersto deliver end-to-end AI-driven products that enhance decision-making and efficiency.

Key Responsibilities :

- Lead, mentor, and inspire a team of AI Engineers and Data Scientists to deliver high-impact AI solutions.

- Drive innovation through research, experimentation, and implementation of cutting-edge AI/ML methodologies.

- Ensure alignment of AI initiatives with organizational goals and technical standards.

- Design, develop, and deploy ML models using Python, Scikit-learn, TensorFlow, and PyTorch.

- Build and optimize Natural Language Processing (NLP) and Large Language Model (LLM) applications for real-world use cases.

- Implement Generative AI capabilities to enhance automation, personalization, and data-driven insights.

- Develop and maintain end-to-end ML pipelines, integrating with CI/CD and containerization tools (Docker).

- Deploy, monitor, and scale models on cloud platforms (AWS, GCP, or Azure).

- Partner with product, engineering, and business teams to translate requirements into technical solutions.

Required Qualifications :

- Bachelors or Masters degree in Computer Science, Engineering, Data Science, AI, or related field.

- 5+ years of hands-on experience in AI/ML or Data Science with real-world implementation.

- Strong proficiency in Python and key libraries (NumPy, Pandas, Scikit-learn).

- Proven experience with NLP, LLMs, or Computer Vision.

- Expertise in ML frameworks such as PyTorch and TensorFlow.

- Hands-on experience in MLOps, CI/CD, and Docker-based deployments.

- Proficiency in Flask, FastAPI, or Django for model integration.

- Experience with cloud services (AWS, GCP, or Azure).

Why Join Us :

- Opportunity to lead high-impact AI initiatives with real-world applications.

- Collaborative, innovation-driven work culture.

- Access to the latest AI/ML technologies and cloud infrastructure.

- Competitive salary and growth-oriented environment

The job is for:

May work from home
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