AI/ML Engineer

1 day ago

Delhi Division, India MantraCare Full time

Key Responsibilities :


- Design, train, and fine-tune machine learning and deep learning models, with a focus on LLMs for conversational and generative tasks.


- Perform feature engineering, data preprocessing, and model evaluation to ensure high accuracy, robustness, and scalability.


- Optimize models for real-world performance and production deployment.


- Work with structured and unstructured datasets, ensuring quality through cleaning, transformation, and augmentation.


- Build pipelines for efficient data collection, preparation, and experimentation.


- Implement and scale ML solutions on cloud platforms such as AWS, GCP, or Azure.


- Collaborate with software engineers to integrate AI models into production-ready applications.


- Develop APIs and services for model consumption by downstream systems and applications.


- Stay updated with the latest advancements in NLP, LLMs, and deep learning frameworks.


- Explore and implement Retrieval-Augmented Generation (RAG) and AI Agent methodologies to enhance system intelligence.


- Experiment with emerging AI tools and frameworks for applied business use cases.

Partner with product managers, data scientists, and business stakeholders to translate

requirements into technical solutions.


- Present findings, insights, and recommendations clearly to both technical and non-technical teams.


- Foster a culture of innovation and continuous improvement in AI-driven development.


Required Qualifications :


- Bachelor of Technology (B.Tech) or equivalent in Computer Science, Data Science, AI/ML, or related field.


- Strong understanding of Large Language Models (LLMs) and their applications in text and conversational AI.


- Proficiency in Python, including libraries such as pandas, NumPy, and scikit-learn.


- Demonstrated ability to build, train, and optimize ML models for production deployment.


- Solid foundation in data cleaning, feature engineering, and model evaluation techniques.


- Excellent analytical thinking, problem-solving, and communication skills for cross-functional

collaboration

(ref:hirist.tech)

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