Mid AIML
Job Summary
Position: AI/ML Engineer
Job Location Gurgaon/Bangalore
Work Experience- 2 years
Email ID:
About Antino:
With the intention and conviction of emerging as an unparalleled IT Digital Transformation Services
platform we at Antino Labs are known for providing impeccable software services using cutting edge
technology across the globe. Without ever compromising with the quality of our output and bringing
talent and diligence on a common platform we have been noticed for our efficiency and reliability. With
dynamic exposure to the industry we believe in refining and redefining our standard according to the
changes in the markets requirement. Our multiple years of experience in the industry has enabled us to
register our global presence. Presently our branch offices are in Bangalore UK Dubai Canada and the
the coming years we envisage more expansion to emerge as a global IT Service Provider.
Antino website - profile-
Job Description:
This is a full-time role for an AI/ML Specialist based in Gurugram and Bangalore. The AI/ML Specialist willdevelop 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 algorithmsexperimenting 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 algorithmsfrom 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 frameworksand apply relevant
innovations .
Document code designs and model evaluation results clearly and comprehensively.
Qualifications:
Bachelors or Masters 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.