How can I apply for AI Engineer in india?

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What is the salary range for AI Engineer?

The offered salary is 55000-85000.

Job Name:

AI Engineer

JOb Description:

The AI Engineer will be responsible for building production-ready AI and ML solutions that drive automation, intelligence, and performance optimization across applications. The candidate must have strong foundations in Python, Machine Learning concepts, NLP, Large Language Models (LLMs), and hands-on experience implementing AI pipelines. This role involves working across datasets, training and tuning ML / Deep Learning models, integrating AI into products or platforms, and collaborating with engineering, data, and product teams to deliver scalable AI solutions. <h2 data-start="1287" data-end="1314"> Key Responsibilities</h2> <ul data-start="1315" data-end="2352"> <li data-start="1315" data-end="1405"> Design, build, and deploy Machine Learning & AI models for production environments </li> <li data-start="1406" data-end="1526"> Work on NLP, LLMs, Chatbots, Text Analytics, Generative AI, or Recommendation Systems depending on project needs </li> <li data-start="1527" data-end="1678"> Develop and maintain end-to-end ML pipelines including data ingestion, preprocessing, feature engineering, training, validation, and deployment </li> <li data-start="1679" data-end="1801"> Implement prompt engineering, model fine-tuning, embeddings, RAG pipelines, vector databases, or AI inference APIs </li> <li data-start="1802" data-end="1916"> Work with structured & unstructured datasets; perform data cleansing, transformation, and statistical analysis </li> <li data-start="1917" data-end="2001"> Develop scalable APIs / microservices for AI model integration with applications </li> <li data-start="2002" data-end="2076"> Optimize model accuracy, performance, inference speed, and reliability </li> <li data-start="2077" data-end="2148"> Document models, experiments, architecture, and performance metrics </li> <li data-start="2149" data-end="2282"> Collaborate with Data Scientists, Backend Developers, Product Managers, and Stakeholders to deliver AI-powered business solutions </li> <li data-start="2283" data-end="2352"> Stay updated with AI advancements, frameworks, and best practices </li> </ul> <h2 data-start="2359" data-end="2390"> Must-Have Qualifications</h2> <ul data-start="2391" data-end="3221"> <li data-start="2391" data-end="2488"> Minimum 2+ years of experience as AI/ML Engineer, Data Scientist, or Applied AI Developer </li> <li data-start="2489" data-end="2600"> Strong proficiency in Python and AI libraries (TensorFlow / PyTorch / Scikit-learn / Hugging Face etc.) </li> <li data-start="2601" data-end="2715"> Experience working with Machine Learning models (classification, prediction, clustering, regression, etc.) </li> <li data-start="2716" data-end="2834"> Hands-on experience with NLP / Generative AI / LLMs (OpenAI, Azure AI, Google AI, HuggingFace, LangChain etc.) </li> <li data-start="2835" data-end="2915"> Good understanding of statistics, probability, and ML algorithm fundamentals </li> <li data-start="2916" data-end="2992"> Hands-on experience with APIs, microservices, or AI model deployment </li> <li data-start="2993" data-end="3081"> Experience working with datasets, SQL/NoSQL databases, and data processing workflows </li> <li data-start="3082" data-end="3136"> Strong problem-solving skills and logical thinking </li> <li data-start="3137" data-end="3221"> Good communication skills and ability to collaborate with cross-functional teams </li> </ul> <h2 data-start="3228" data-end="3259"> Preferred Qualifications</h2> <ul data-start="3260" data-end="3734"> <li data-start="3260" data-end="3367"> Experience with RAG (Retrieval Augmented Generation) or Vector DBs (Pinecone, FAISS, Weaviate etc.) </li> <li data-start="3368" data-end="3448"> Knowledge of Deep Learning, CNN/RNN, Transformers, BERT/GPT-based models </li> <li data-start="3449" data-end="3563"> Experience with MLOps tools (Docker, Kubernetes, CI/CD for ML, MLflow, AWS Sagemaker, Vertex AI, Azure ML) </li> <li data-start="3564" data-end="3623"> Experience deploying AI models on AWS / Azure / GCP </li> <li data-start="3624" data-end="3686"> Experience integrating AI into web/mobile applications </li> <li data-start="3687" data-end="3734"> Familiarity with data engineering workflows </li> </ul> <h2 data-start="3741" data-end="3756"> Benefits</h2> <ul data-start="3757" data-end="3984"> <li data-start="3757" data-end="3809"> Opportunity to work on real-world AI innovations </li> <li data-start="3810" data-end="3874"> Exposure to cutting-edge AI, LLM and automation technologies </li> <li data-start="3875" data-end="3917"> Collaborative tech-driven work culture </li> <li data-start="3918" data-end="3984"> Career growth into Senior AI Engineer / Lead AI Engineer roles</li></ul>

City:

Noida

Spacelinkers Infotech Private Limited • Country: India

ExperienceLevel:

1-3 years

JobType:

Full-time