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Urgent! Maino.ai - ML Engineer (Data Scientist) Job Opening In Bengaluru – Now Hiring Nexthire

Maino.ai ML Engineer (Data Scientist)



Job description

About Maino.ai


Maino.ai is at the forefront of revolutionising marketing automation through its end-to-end automated, intelligent, and ROI-driven martech platform.

Leveraging cutting-edge Machine Learning (ML) and Generative AI technologies, we are committed to providing a one-stop solution that addresses all the marketing needs of organisations.

Our mission is to build the world's most reliable and innovative technology platform, transforming the digital marketing sector into a cost-efficient and accessible domain for everyone.







Job Description:


At Maino.ai, we are seeking talented folks with 5+ years of experience in AI/ML with comprehensive understanding of the ML models ecosystem.

This role offers a unique opportunity for someone passionate about pushing the boundaries of technology and thriving in a dynamic environment.





Qualifications:


Must-Have:


● Proficiency in Python and libraries like TensorFlow, PyTorch, Transformers, and LangChain.



● Solid understanding of NLP techniques, including tokenization, embeddings, and model fine-tuning.



● Hands-on experience with designing APIs and integrating AI models into production systems.



● Strong knowledge of machine learning fundamentals and evaluation metrics for conversational AI.



● Excellent problem-solving skills with a focus on delivering scalable and maintainable solutions.



● Strong experience with Large Language Models (LLMs) and frameworks such as OpenAI APIs, Hugging Face, or similar tools.

(At least 1 year development experience)



Good-to-Have:


● Experience in deploying ML models in cloud environments (AWS, Azure, GCP).


● Exposure to tools like Docker, Kubernetes, or other container orchestration systems.



● Prior experience in developing multimodal conversational systems.


Responsibilities:


● Implement scalable data pipelines for processing and indexing large corpora of documents for retrieval systems.



● Research and apply advanced techniques in prompt engineering, few-shot learning, and knowledge integration to improve conversational and retrieval quality.



● Collaborate with other engineering teams.


● Conduct rigorous A/B testing, monitor key performance indicators (KPIs), and iteratively optimise system performance.



● Stay updated with the latest advancements in natural language processing (NLP) and machine learning to continuously innovate solutions.



● Ensure data privacy, ethical AI principles, and compliance with security standards in all models and systems.


Required Skill Profession

Mathematical Science Occupations



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