AI Engineer Job Vacancies in Noida

About the RoleSCS Universal Tech Private Limited is looking for a passionate and innovative AI Engineer to join our growing technology team. The ideal candidate will have 1-3 years of hands-on experience in designing, developing, and deploying AI/ML solutions. You will work closely with cross-functional teams to build intelligent applications that solve real-world business problems using machine learning, deep learning, and Generative AI technologies.Key ResponsibilitiesDesign, develop, and deploy AI and Machine Learning models for business applications.Build, train, evaluate, and optimize machine learning algorithms.Develop NLP, Computer Vision, or Generative AI solutions based on project requirements.Integrate AI models into production applications and APIs.Perform data preprocessing, feature engineering, and model evaluation.Work with structured and unstructured datasets.Collaborate with software developers, product managers, and business stakeholders.Monitor model performance and continuously improve accuracy and efficiency.Research emerging AI technologies and recommend innovative solutions.Maintain technical documentation and follow coding best practices.Required Technical SkillsStrong knowledge of Python programming.Experience with Machine Learning libraries such as Scikit-learn, TensorFlow, or PyTorch.Knowledge of Large Language Models (LLMs) and Generative AI concepts.Experience with NLP frameworks such as Hugging Face Transformers.Familiarity with LangChain or LlamaIndex.Understanding of Retrieval-Augmented Generation (RAG) concepts.Experience working with REST APIs.Knowledge of SQL and NoSQL databases.Familiarity with Git version control.Understanding of Docker and basic cloud platforms (AWS, Azure, or GCP).Preferred SkillsExperience with OpenAI APIs or similar LLM platforms.Knowledge of vector databases such as Pinecone, FAISS, ChromaDB, or Weaviate.Experience deploying AI applications using FastAPI or Flask.Exposure to MLOps concepts and CI/CD pipelines.Understanding of prompt engineering and AI model optimization.QualificationsBachelor's or Master's degree in Computer Science, Artificial Intelligence, Information Technology, Data Science, or a related discipline.Strong analytical and problem-solving skills.Good understanding of software engineering principles.Excellent verbal and written communication skills.Experience1-3 years of professional experience in AI/ML development.Hands-on experience developing and deploying AI applications.Experience working in Agile/Scrum environments is preferred.Tools & TechnologiesPythonTensorFlowPyTorchScikit-learnHugging FaceLangChainLlamaIndexOpenAI APIFastAPIFlaskDockerGitSQLMongoDBAWS/Azure/GCPBehavioral CompetenciesStrong problem-solving and analytical thinking.Ability to work collaboratively in a team environment.Self-motivated and eager to learn emerging AI technologies.Good communication and stakeholder management skills.Attention to detail and commitment to delivering high-quality solutions.Why Join SCS Universal Tech Private Limited?Work on cutting-edge AI and Generative AI projects.Opportunity to learn and grow with experienced professionals.Collaborative and innovation-driven work culture.Exposure to modern AI technologies and enterprise solutions.Career growth opportunities in Artificial Intelligence and Machine Learning.Equal Opportunity EmployerSCS Universal Tech Private Limited is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions are based on qualifications, merit, and business needs without regard to race, religion, gender, age, disability, or any other protected status.

GenAI Engineer - Job DescriptionLocation: NoidaJob Type: Full TimeExperience Level: 1-3 yearsJob SummaryWe are seeking a passionate and skilled GenAI Engineer to join our team and work on cutting-edge Generative AI applications. The ideal candidate will have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern AI frameworks. This role offers an excellent opportunity to build intelligent, scalable AI solutions and grow in the rapidly evolving field of Generative AI.You will be responsible for designing and implementing RAG pipelines, integrating LLMs into production systems, and optimizing AI-powered applications for real-world use cases.Key ResponsibilitiesHands-on experience with LLMs such as OpenAI GPT, Claude, Llama, or MistralStrong experience building end-to-end RAG pipelines (data ingestion, chunking, embeddings, retrieval, response generation)Expertise in LangChain / LangGraph for AI workflows, agents, and orchestrationExperience with Vector Databases (Pinecone, Qdrant, Weaviate, ChromaDB, FAISS)Strong Prompt Engineering and optimization techniquesProficiency in Python with backend development using FastAPI/DjangoExperience integrating LLM APIs into scalable applicationsUnderstanding of embeddings, NLP concepts, semantic search, and data preprocessingExperience working with SQL (PostgreSQL/MySQL) and NoSQL (MongoDB) databasesMLOps, aws sagemaker, redis, DBMS, distributed systems, microservicesRAG, graph rag, langraph, vector dbs like neo4j, milvus, qdrantGood to HaveExperience with model fine-tuning and training custom modelsKnowledge of LangSmith or other LLM observability toolsUnderstanding of token optimization and cost management for LLM applicationsExperience with streaming responses and async processingFamiliarity with Docker and containerizationExposure to cloud platforms (AWS, Azure, or GCP) for AI deploymentExperience with CI/CD pipelinesKnowledge of MLOps practices and model versioningUnderstanding of AI safety, ethics, and responsible AI principlesExperience building conversational AI agents or chatbotsFrontend integration experience (React, Vue, or Angular)EducationBachelor's or Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related fieldRelevant certifications in AI/ML or LLM technologies are a plusWhat We OfferCompetitive salary and benefits packageOpportunity to work on cutting-edge Generative AI projectsCollaborative and innovative work environmentExposure to latest LLM technologies and frameworksCareer growth and continuous learning opportunitiesFlexible work arrangementsMentorship from experienced AI practitioners

Strong experience in Python, Hands-on experience with LLMs (GPT, Gemini, Claude, etc.) and RAG architectures.Familiarity with knowledge graphs, vector databases, and AKD techniquesProblem-solving mindset with a passion for innovation.

Job Summary:We are seeking a highly skilled and experienced in AI specializing in machine learning, computer vision with a focus on image processing, pattern recognition, video analytics & biometric matching (face, voice etc.). As per the role, you will play a pivotal role in guiding the innovation and development of AI and computer vision- based biometric modules. The ideal candidate will have extensive hands-on experience in creating and deploying machine learning models in large-scale scenarios, with a strong focus on object detection, computer vision, and deep learning model architectures & frameworks, ML Ops & orchestration.Key ResponsibilitiesML Model Development: Lead the design, development, and deployment of machine learning models, specifically in the context of biometric identity verification.Innovation and Research: Stay abreast of the latest advancements in AI and computer vision technologies. Drive innovation by exploring and implementing state-of-the-art solutions in the realm of biometrics.Solution Design & Deployment: Lead the design and architecture of AI solutions, ensuring alignment with business objectives. Collaborate with cross-functional teams to create robust, accurate & scalable solutions for image and video analytics, data analytics, large scale biometric matching processing.Guidance and Mentorship: Provide technical leadership to the data science team, offering guidance and mentorship to ensure the highest standards of performance and continuous skill development. Effectively delegate tasks to junior team members, providing guidance and mentorship. Foster a collaborative team environment and ensure the timely delivery of high-quality solutions.Collaboration: Work closely with other departments, such as software engineering and product management, to integrate machine learning solutions seamlessly into our products and services.Communication: Clearly communicate complex technical concepts to both technical and non-technical