AI Integration Engineer (India)

AI Integration Engineer (India)

13 Aug
|
Recruitment Hub 365
|
India

13 Aug

Recruitment Hub 365

India

Job Title: AI Integration Engineer

Location: Baner, Pune (Hybrid)
Experience: 5+ Years
Shift Time: 2:00 PM – 11:00 PM (IST)
Notice Period: Immediate to 15 Days

About the Role:

We are seeking a 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 teams—including product managers, business stakeholders, and software engineers—to deliver end-to-end AI-driven products that enhance decision-making and efficiency.

Key Responsibilities, Leadership & Strategy:

- 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.

AI / ML Development:

- 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.

MLOps & Engineering:

- 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).
- Collaborate with data and software engineers to ensure robust, production-ready architectures.

Cross-functional Collaboration:

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



coding standards, and reproducibility across all AI projects.

Mentorship & Growth:

- Guide and coach junior engineers and data scientists.
- Identify upskilling needs and create learning pathways to strengthen team capability.

Required Qualifications:

- Bachelor’s or Master’s 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).
- Familiarity with SQL/NoSQL databases, Git, and version control.
- Strong understanding of software engineering best practices.

Preferred Qualifications:

- Exposure to cloud ML platforms like AWS SageMaker or GCP Vertex AI.
- Knowledge of data visualization tools such as Tableau or Power BI.
- Background in GenAI prompt engineering, fine-tuning LLMs, or model optimization.

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

Job Types: Full time, Permanent

Pay: ₹2,500,000.00 - ₹3,500,000.00 per year

Application Question(s):

- Please share your total years of experience in Artificial Intelligence / Machine Learning.
- What is your Current and Expected CTC?
- How many years of hands-on experience do you have with Gen AI
- What is the status of your Notice Period?

Work Location: Hybrid remote in Baner, Pune, Maharashtra

📌 AI Integration Engineer (India)
🏢 Recruitment Hub 365
📍 India

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