Explore exciting Machine Learning Engineer jobs in 1150 Machine Learning Engineer jobs in Noida
Machine Learning Engineer
Posted 3 days ago
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Machine Learning Engineer
Posted 4 days ago
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About Hero Vired:
Would you like to be part of an exciting, innovative, and high-growth startup from one of the largest and most well-respected business houses in the country - the Hero Group?
Hero Vired is a premium learning experience offering industry-relevant programs and world-class partnerships, to create the change-makers of tomorrow.
At Hero Vired, we believe everyone is made of big things. With the experience, knowledge, and expertise of the Hero Group, Hero Vired is on a mission to change the way we learn. Hero Vired aims to give learners the knowledge, skills, and expertise through deeply engaged and holistic experiences, closely mapped with industry to empower them to transform their aspirations into reality. The focus will be on disrupting and reimagining university education & skilling for working professionals by offering high-impact online certification and degree programs.
The illustrious and renowned US$5 billion diversified Hero Group is a conglomerate of Indian companies with primary interests and operations in automotive manufacturing, financing, renewable energy, electronics manufacturing, and education. The Hero Group (BML Munjal family) companies include Hero MotoCorp, Hero FinCorp, Hero Future Energies, Rockman Industries, Hero Electronix, Hero Mindmine, and the BML Munjal University.
For detailed information, visit Hero Vired
Role : Machine Learning Engineer(LLM & NLP)
Location: Delhi (Sultanpur)
Job Type: Full Time (Work from Office)
Experience: 3+ years
Function: Technology
About the Role
We are looking for an experienced Machine Learning Engineer with deep expertise in Large Language Models (LLMs) and Natural Language Processing (NLP) to design, build, and deploy cutting-edge AI solutions. The ideal candidate will have hands-on experience in fine-tuning, optimizing, and productionizing LLMs for various education and learning use cases, along with a solid foundation in core NLP concepts and ML engineering practices.
The ideal candidate should be passionate about building and deploying robust ML models, have strong software engineering principles, and work closely with cross-functional teams to integrate AI-powered features into our digital learning products.
Key Responsibilities:
- Build AI-powered agents using LangChain/OpenAI APIs to simulate human-like search, click, scrape, and store behavior
- Use Python scraping frameworks (Scrapy , Playwright , BeautifulSoup ) to extract dynamic web data
- Apply NLP techniques to extract structured fields from unstructured content (e.g., reviews, placement data)
- Design ETL pipelines using Airflow or Prefect to ingest, clean, enrich, and store data
- Store the output in normalized formats in PostgreSQL , Neo4j , or ElasticSearch
- Machine Learning -> Train/update models that improve classification, ranking, or deduplication
- Design a GPT-powered web crawler that uses Google/Bing APIs to simulate top human clicks → summarize pages → extract structured info
- Build a semantic search pipeline using ElasticSearch + OpenAI embeddings
- Architect a Knowledge Graph in Neo4j or TigerGraph for relationship-heavy queries
- Implement LLM feedback loops for content validation, confidence scoring, and hallucination detection
- Build a monitoring dashboard to track data freshness, accuracy, and update intervals
- Familiarity with Reinforcement Learning with Human Feedback (RLHF) or Retrieval-Augmented Generation (RAG)
Machine Learning Engineer
Posted 4 days ago
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- Have hands on experience on real time ML Models / Projects
- Coding in Python Language, Machine Learning, Basic SQL, Git, MS Excel
- Experience in using IDE like Jupyter Notebook, Spyder, PyCharm
- Hands on with AWS Services like S3 bucket, EC2, Sagemaker, Step Functions.
- Engage with clients/consultants to understand requirements
- Taking ownership of delivering ML models with high precision outcomes.
- Accountable for high quality and timely completion of specified work deliverables
- Write codes that are well detailed structured and compute efficient
Machine Learning Engineer
Posted 4 days ago
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Machine Learning Engineer
Posted today
Job Viewed
Job Description
- Have hands on experience on real time ML Models / Projects
- Coding in Python Language, Machine Learning, Basic SQL, Git, MS Excel
- Experience in using IDE like Jupyter Notebook, Spyder, PyCharm
- Hands on with AWS Services like S3 bucket, EC2, Sagemaker, Step Functions.
- Engage with clients/consultants to understand requirements
- Taking ownership of delivering ML models with high precision outcomes.
- Accountable for high quality and timely completion of specified work deliverables
- Write codes that are well detailed structured and compute efficient
Machine Learning Engineer
Posted 1 day ago
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Location: Gurgaon/Noida/Bangalore/Pune/Hyderabad
Experience: 2–6 Years
Notice Period - Immediate to 30 Days
We are looking for a skilled and proactive Machine Learning Engineer to join our team and build scalable, production-grade ML solutions. If you are passionate about Python, GCP, and ML Ops practices, and love working on cutting-edge cloud-native systems, this role is for you!
What You’ll Do
Design and implement end-to-end machine learning pipelines .
Develop and deploy ML models in Python ; manage data workflows using SQL .
Orchestrate workflows with Google Cloud Composer (Airflow) .
Containerize applications with Docker and deploy on Google Kubernetes Engine (GKE) .
Set up & maintain CI/CD pipelines for automated training and deployment.
Develop and maintain RESTful APIs (Flask/FastAPI) to serve ML models.
Collaborate with data scientists, engineers, and DevOps to ensure smooth integration & scalability.
Mandatory Skills - Python + GCP + MLOps
What We’re Looking For
2–6 years of experience as a Machine Learning Engineer .
Strong skills in Python and SQL .
Hands-on experience with Google Cloud Platform (BigQuery, Composer, GKE) .
Solid understanding of MLOps practices and tools.
Experience with Docker & Kubernetes .
Knowledge of CI/CD tools (GitHub Actions, Jenkins, Cloud Build).
Proficiency in API development (Flask / FastAPI).
Familiarity with Git and version control best practices .
Machine Learning Engineer
Posted 2 days ago
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Key Responsibilities:
Design and develop generative AI models using techniques like RAG, transformers, and other relevant approaches.
Fine-tune pre-trained LLMs for specific tasks and domains.
Conduct research on new techniques for improving the performance and capabilities of generative AI models.
Apply software engineering rigor and best practices to machine learning /Generative AI pipelines.
Evaluate and analyse the performance of ML/generative AI models.
Stay up to date on the latest advancements in generative AI research.
Facilitate the development and deployment of proof-of-concept Generative AI systems.
Qualifications:
Bachelor’s/Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
3-5 years of experience in generative AI or related fields.
Experience in building data pipelines, deploying ML/GenAI models in production, and monitoring and maintaining their performance.
Strong programming skills in Python.
Familiarity with RAG and other techniques for building generative models.
Extensive experience with Git, Docker and a good understanding of Linux for managing servers.
Experience with cloud-based ecosystems, especially AWS ML/GenAI services.
Exposure to ML/GenAI frameworks and tools.
Excellent communication and collaboration skills.
Ability to work independently and in a team-oriented environment.
Methodical and meticulous towards work and planning.
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