AI Engineer
JOb Description:<!--StartFragment--><p data-start="712" data-end="1051">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.</p> <p data-start="1053" data-end="1280">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.</p> <h2 data-start="1287" data-end="1314"><strong data-start="1290" data-end="1314"><br>Key Responsibilities</strong></h2> <ul data-start="1315" data-end="2352"> <li data-start="1315" data-end="1405"> <p data-start="1317" data-end="1405">Design, build, and deploy <strong data-start="1343" data-end="1375">Machine Learning & AI models</strong> for production environments</p> </li> <li data-start="1406" data-end="1526"> <p data-start="1408" data-end="1526">Work on <strong data-start="1416" data-end="1470">NLP, LLMs, Chatbots, Text Analytics, Generative AI</strong>, or Recommendation Systems depending on project needs</p> </li> <li data-start="1527" data-end="1678"> <p data-start="1529" data-end="1678">Develop and maintain <strong data-start="1550" data-end="1577">end-to-end ML pipelines</strong> including data ingestion, preprocessing, feature engineering, training, validation, and deployment</p> </li> <li data-start="1679" data-end="1801"> <p data-start="1681" data-end="1801">Implement <strong data-start="1691" data-end="1759">prompt engineering, model fine-tuning, embeddings, RAG pipelines</strong>, vector databases, or AI inference APIs</p> </li> <li data-start="1802" data-end="1916"> <p data-start="1804" data-end="1916">Work with structured & unstructured datasets; perform data cleansing, transformation, and statistical analysis</p> </li> <li data-start="1917" data-end="2001"> <p data-start="1919" data-end="2001">Develop scalable APIs / microservices for AI model integration with applications</p> </li> <li data-start="2002" data-end="2076"> <p data-start="2004" data-end="2076">Optimize model accuracy, performance, inference speed, and reliability</p> </li> <li data-start="2077" data-end="2148"> <p data-start="2079" data-end="2148">Document models, experiments, architecture, and performance metrics</p> </li> <li data-start="2149" data-end="2282"> <p data-start="2151" data-end="2282">Collaborate with Data Scientists, Backend Developers, Product Managers, and Stakeholders to deliver AI-powered business solutions</p> </li> <li data-start="2283" data-end="2352"> <p data-start="2285" data-end="2352">Stay updated with AI advancements, frameworks, and best practices</p> </li> </ul> <h2 data-start="2359" data-end="2390"><strong data-start="2362" data-end="2390"><br>Must-Have Qualifications</strong></h2> <ul data-start="2391" data-end="3221"> <li data-start="2391" data-end="2488"> <p data-start="2393" data-end="2488">Minimum <strong data-start="2401" data-end="2427">2+ years of experience</strong> as AI/ML Engineer, Data Scientist, or Applied AI Developer</p> </li> <li data-start="2489" data-end="2600"> <p data-start="2491" data-end="2600">Strong proficiency in <strong data-start="2513" data-end="2523">Python</strong> and AI libraries (TensorFlow / PyTorch / Scikit-learn / Hugging Face etc.)</p> </li> <li data-start="2601" data-end="2715"> <p data-start="2603" data-end="2715">Experience working with <strong data-start="2627" data-end="2654">Machine Learning models</strong> (classification, prediction, clustering, regression, etc.)</p> </li> <li data-start="2716" data-end="2834"> <p data-start="2718" data-end="2834">Hands-on experience with <strong data-start="2743" data-end="2773">NLP / Generative AI / LLMs</strong> (OpenAI, Azure AI, Google AI, HuggingFace, LangChain etc.)</p> </li> <li data-start="2835" data-end="2915"> <p data-start="2837" data-end="2915">Good understanding of statistics, probability, and ML algorithm fundamentals</p> </li> <li data-start="2916" data-end="2992"> <p data-start="2918" data-end="2992">Hands-on experience with <strong data-start="2943" data-end="2990">APIs, microservices, or AI model deployment</strong></p> </li> <li data-start="2993" data-end="3081"> <p data-start="2995" data-end="3081">Experience working with datasets, SQL/NoSQL databases, and data processing workflows</p> </li> <li data-start="3082" data-end="3136"> <p data-start="3084" data-end="3136">Strong problem-solving skills and logical thinking</p> </li> <li data-start="3137" data-end="3221"> <p data-start="3139" data-end="3221">Good communication skills and ability to collaborate with cross-functional teams</p> </li> </ul> <h2 data-start="3228" data-end="3259"><strong data-start="3231" data-end="3259"><br>Preferred Qualifications</strong></h2> <ul data-start="3260" data-end="3734"> <li data-start="3260" data-end="3367"> <p data-start="3262" data-end="3367">Experience with <strong data-start="3278" data-end="3318">RAG (Retrieval Augmented Generation)</strong> or Vector DBs (Pinecone, FAISS, Weaviate etc.)</p> </li> <li data-start="3368" data-end="3448"> <p data-start="3370" data-end="3448">Knowledge of <strong data-start="3383" data-end="3400">Deep Learning</strong>, CNN/RNN, Transformers, BERT/GPT-based models</p> </li> <li data-start="3449" data-end="3563"> <p data-start="3451" data-end="3563">Experience with <strong data-start="3467" data-end="3482">MLOps tools</strong> (Docker, Kubernetes, CI/CD for ML, MLflow, AWS Sagemaker, Vertex AI, Azure ML)</p> </li> <li data-start="3564" data-end="3623"> <p data-start="3566" data-end="3623">Experience deploying AI models on <strong data-start="3600" data-end="3621">AWS / Azure / GCP</strong></p> </li> <li data-start="3624" data-end="3686"> <p data-start="3626" data-end="3686">Experience integrating AI into <strong data-start="3657" data-end="3684">web/mobile applications</strong></p> </li> <li data-start="3687" data-end="3734"> <p data-start="3689" data-end="3734">Familiarity with data engineering workflows</p> </li> </ul> <h2 data-start="3741" data-end="3756"><strong data-start="3744" data-end="3756"><br>Benefits</strong></h2> <ul data-start="3757" data-end="3984"> <li data-start="3757" data-end="3809"> <p data-start="3759" data-end="3809">Opportunity to work on real-world AI innovations</p> </li> <li data-start="3810" data-end="3874"> <p data-start="3812" data-end="3874">Exposure to cutting-edge AI, LLM and automation technologies</p> </li> <li data-start="3875" data-end="3917"> <p data-start="3877" data-end="3917">Collaborative tech-driven work culture</p> </li> <li data-start="3918" data-end="3984"> <p data-start="3920" data-end="3984">Career growth into Senior AI Engineer / Lead AI Engineer roles</p></li></ul><!--EndFragment-->
Noida
1-3 years
JobType:Full-time
