Machine Learning Engineer Job Vacancies in Delhi NCR

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

We are seeking a skilled MLOps Engineer to lead the automation of the ML lifecycle from training to deployment. You will manage scalable CI/CD pipelines, containerized workflows, and performance monitoring across multiple deployment targets.

Senior LLM Engineer Remote Option Full Time 1. Sr LLM Engineer1. 7 to 12 years of professional experience in building Machine Learning models & systems/ software Engineer background and moved to LLM for last 3-4yrs2. 1+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents.3. Experience in driving the engineering team toward a technical roadmap.4. Experience in programming skills in Python, Langchain and SQL is a must.5. Understanding of Cloud services, including Azure, GCP, or AWS6. Excellent communication skills to effectively collaborate with business SMEsSkill Set Details LLM Generative AI Machine Learning Cloud Technology Python RAG Langchain SUBMISSION DetailsCurrent SalaryExpected SalaryNotice Period / Immediate JoinerCurrent LocationReason for Job Change Any offers in HandLinkedIN ID Skill Set Details ThanksVenkat SankaranSenior Human Resource ManagerPROTOMINDS SOFTWARE SOLUTIONS PVT LTD https://www.protominds.com/

Level of skills and experience:5 years of hands-on experience in using Python, Spark,Sql.Experienced in AWS Cloud usage and management.Experience with Databricks (Lakehouse, ML, Unity Catalog, MLflow).Experience using various ML models and frameworks such as XGBoost, Lightgbm, Torch.Experience with orchestrators such as Airflow and Kubeflow.Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).Fundamental understanding of Parquet, Delta Lake and other data file formats.Proficiency on an IaC tool such as Terraform, CDK or Cloud Formation.Strong written and verbal English communication skill and proficient in communication with non-technical stakeholderst

Lifelong learning is a vital skill that involves proactively acquiring new knowledge, skills, and experiences to excel in an ever-evolving world. It emphasizes curiosity-driven exploration through formal education, online courses, workshops, and self-study. A dedicated learner enhances technical, soft, and domain-specific skills, applying this knowledge to solve real-world challenges effectively. Key qualities of a lifelong learner include a growth mindset, adaptability, self-motivation, and resilience, allowing them to embrace new concepts, tools, and feedback while learning from failures. Effective time management and critical thinking further enable them to balance learning with other responsibilities. Leveraging platforms like Coursera, NPTEL, and industry resources, as well as engaging in collaboration and hands-on practice, supports continuous development. This commitment to learning ensures personal and professional growth, fostering adaptability and innovation in a dynamic environment.

***Responsibilities:***1. Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.2. Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.3. Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.4. Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.5. Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.6. Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.7. Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.8. Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.9. Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.10. Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.11. Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.12. Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.

Key Responsibilities: Process Analysis:Collaborate with business analysts and stakeholders to analyze and understandbusiness processes for automation.Identify opportunities for automation and recommend RPA solutions. UiPath Development:Design, develop, and implement end-to-end automation solutions using UiPath.Create and maintain automation workflows, integrating UiPath best practices.Develop and configure bots for optimal performance and efficiency. Testing and Debugging:Conduct thorough testing of automation solutions to ensure accuracy and reliability.Debug and troubleshoot any issues that arise during the development and testingphases. Documentation:Create comprehensive documentation for all developed automation processes.Maintain updated documentation for changes and enhancements to existingprocesses. Collaboration:Work closely with business units to understand their automation needs andrequirements.Collaborate with IT (Information Technology) and other departments to integrateautomation solutions into existing systems. Training and Support:Provide training and support to end-users and other team members on implementedautomation processes.Assist in resolving issues and inquiries related to automation. Compliance and Security:Ensure that all automation processes comply with regulatory and security standards.Implement security measures to protect sensitive data processed throughautomation.Qualifications and Skills: Bachelor's degree in computer science, Information Technology, or a related field. 5+ years of Proven experience as an RPA Developer using UiPath. Strong knowledge of RPA concepts and methodologies. Proficiency in UiPath Studio, Orchestrator, and other UiPath tools. Experience in analyzing and documenting business processes. Solid understanding of software development life cycle (SDLC) and agile methodologies. Excellent problem-solving and debugging skills. Effective communication and interpersonal s

Position: ML EngineerQualification: Bachelor's Degree Experience: 2+ years of experience in developing large scale ML modelsLocation: Work from HomeRoles & responsibilities: You will identify, leverage, and successfully evangelize opportunities to improve AI productivity You will prototype, develop and experiment with computer vision techniques and explore a variety of approaches You will understand product requirements and translate them into engineering goals and tasks You will explore new methods to leverage a large data-set of spontaneous real-world visual & image data You will build systems for an end to end production-grade stack with low latency and high throughput You will design, implement and optimize algorithms to run on edge devices You will leverage the Edge compute available to run a variety of offline algorithms spawning multiple use casesQualifications: Bachelors degree in Computer Science or related technical field or equivalent technical experience 2+ years of experience in developing large scale machine learning models Exposure in deep learning techniques (CNN, RNN, LSTM) on computer vision tasks (object detection, classification, object tracking) Expertise in the machine learning libraries such as Sci-Kit, Numpy, Pandas, OpenCV Experience working with deep learning frameworks (e.g. TensorFlow, Keras, PyTorch) including implementing custom layers Experience in working on large scale data, and deploying ML solutions into production environments Experience with Docker, and/or cloud deployment technologies Strong expertise in C++, and Python programming languages Strong expertise in Bash, PowerShell Strong expertise in working on Unix/Linux environments Experience with SQL, NoSQL databases Strong interpersonal, written, and verbal communication skillsAdditional: Experience with Ansible, Kubernetes, Docker etc. and/or cloud deploy deployment technologies Experience with Go programming language

We have vacant of 3 data engineer intern Jobs in remote, Artificial Intelligence, Machine Learning, Python, for Freshers Educational Qualification : B.Tech/B.E Skill Artificial Intelligence, Machine Learning, Python etc.,

Production Machine Learning Models with Django API Designs Machine Learning Model Deployment using Django Strong hands-on experience in Python Experience on any one of the Cloud platforms AWS/ Azure/ GCP Experience building custom integrations between cloud-based systems using APIs Excellent communication (verbal and written) skills can communicate complex ideas in simple ways Experience developing and maintaining ML systems built with open source tools Experience developing with containers (Docker) in cloud computing environments is a plus Exposure to machine learning methodology and best practices

***Responsibilities:***1. Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.2. Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.3. Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.4. Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.5. Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.6. Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.7. Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.8. Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.9. Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.10. Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.11. Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.12. Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.

We are hiring an experienced ML Engineer to lead the design and deployment of robust, production-ready AI systems. You will drive experimentation, model validation, and edge performance benchmarking for scalable biometric applications.

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

Job Summary:We are seeking a highly skilled Node.js Developer with 5+ years of experience to join our dynamic team. The ideal candidate will be proficient in PHP/Node.js, MVC architecture, and have a strong understanding of MySQL databases, GIT, and RESTful APIs. A quick learner with good knowledge of AWS and solid skills in Data Structures and Algorithms (DSA), you should be able to thrive in a fast-paced startup environment.Key Responsibilities: Develop, test, and maintain high-quality web applications using PHP (Laravel) and Node.js. Implement and maintain MVC architecture in web applications for clean and efficient code. Design and optimize MySQL database schemas and queries for performance and scalability. Build and integrate RESTful APIs to support frontend and other backend services. Work with AWS services (EC2, S3, RDS, etc.) for deploying, managing, and scaling applications. Utilize GIT for version control, ensuring clean and organized code management. Collaborate with cross-functional teams, including frontend developers, designers, and product managers, to deliver high-quality products. Debug and resolve technical issues and bugs in a timely and efficient manner. Continuously learn and adapt to new technologies, tools, and best practices in web development. Apply knowledge of Data Structures and Algorithms (DSA) to optimize application performance and solve complex problems. Participate in code reviews, provide constructive feedback, and contribute to improving coding standards and practices. Work independently and proactively in a startup environment, managing multiple tasks and projects effectively.Qualifications: Bachelors degree in computer science, Engineering, or a related field, or equivalent experience. 4-5 years of experience as a React, Node.js Developer. Proficiency in PHP frameworks, particularly Laravel, and a strong understanding of MVC architecture. Experience with Node.js and JavaSc