AI/ML Engineer

2 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Job Description:

This is a full-time role for an AI/ML Specialist based in Gurugram and Bangalore. The AI/ML Specialist will


develop and implement machine learning models, conduct data analysis, and collaborate with cross-

functional teams to integrate AI solutions into various projects. Daily tasks include designing algorithms,


experimenting with AI techniques, preparing data sets, and deploying models to production

environments. The role also involves researching new AI technologies and optimizing existing machine

learning systems. You will be responsible for designing, developing, and implementing web applications

using Django, as well as collaborating with cross-functional teams to deliver high-quality software

solutions with a strong background in AI and Large Language Models (LLMs) to join our dynamic team.

The ideal candidate will be responsible for developing scalable web applications, integrating AI

functionalities, and optimizing performance to deliver innovative solutions.

Responsibilities:

Design, develop, and deploy machine learning models and AI algorithms—from data ingestion and

feature engineering to model validation and tuning .

Collaborate with data scientists, software engineers, and product teams to integrate ML solutions into

production systems .

Preprocess datasets and execute data analysis pipelines ensuring clean, high-quality inputs .

Monitor, evaluate, and optimize model performance and scalability in production.

Stay updated on AI/ML trends such as Generative AI, NLP, and latest frameworks—and apply relevant

innovations.

Document code, designs, and model evaluation results clearly and comprehensively.


Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, AI, ML, Data Science, or equivalent

Minimum 2 years of hands-on experience in AI/ML engineering or related roles

Proficient in Python, with solid programming and algorithmic foundations .

Experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn .

Practical exposure to Computer Vision / NLP / Generative AI / LLMs / Sequence Models (CNN, RNN,

Transformers, BERT, etc.)

Familiarity with Docker, container orchestration (Kubernetes preferred), MLOps workflows and tools .

Knowledge of cloud platforms (AWS / GCP / Azure) is a strong plus .

Working knowledge of REST APIs, and familiarity with SQL/NoSQL or vector databases.

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