1111 Artificial Intelligence jobs in Noida
Artificial Intelligence
Posted today
Job Viewed
Job Description
Pay: ₹25,000.00 - ₹100,000.00 per month
Schedule:
- Day shift
Supplemental Pay:
- Performance bonus
**Experience**:
- total work: 2 years (preferred)
Work Location: In person
Artificial Intelligence Engineer
Posted 7 days ago
Job Viewed
Job Description
About our Team
Manupatra, serves customers in more than 20 countries is a leading provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying advanced technologies to the legal market to improve productivity and transform the overall business and practice of law.
About the Role
As the AI Engineer/ Data Engineer, we are looking for a skilled LLM Application Developer to join our team. You will be responsible for implementing large language model (LLM) based applications, working with proprietary and open-source models as well as popular frameworks to ensure seamless integration and deployment.
Education
- B.Tech in Computer Science, Data Science, or related field or equivalent experience.
Experience
- Have at least 2+ years of Software Engineering experiences as a team member or team mentor in a mid to large technical company.
Responsibilities
- Building standalone applications that interact with LLM models
- Building RAG-based applications
- Understanding of Vector DBs like Solr for LLM.
- Preprocess and manage data for training and deployment.
- Collaborate with cross-functional teams to define, design, and ship new features.
- Write clean, maintainable, and efficient code.
- Document development processes, code, and APIs.
- Design, prototype, implement, deploy, and maintain features for NLP or AI-related projects
Requirements
- Proven experience in building customer facing ML based APIs
- Experience in developing applications that are scalable to handle TBs of data
- Strong knowledge of API integration (RESTful, GraphQL).
- Experience with data preprocessing, SQL, and NoSQL databases as well as vector stores (e.g., Postgres, MySQL, Solr, Elasticsearch/OpenSearch, etc.)
- Familiarity with deployment tools (Docker, Kubernetes).
- Experience with DevOps tools like Jenkins, Terraform, Cloud Formation templates is highly preferred.
- Excellent problem-solving and communication skills.
- Experience with Spark/Hadoop, EMR or any other Big Data technology would be a plus
- Certifications in machine learning, data science, or cloud computing.
- Portfolio showcasing past projects or contributions to open-source projects.
- Experience working with Python, and optional at least one other programming language such as Flask, Django, FastAPI , Golang, Java, SQL, etc.
- Experience of successfully implement development processes, coding best practices, and code reviews, familiar with CI/CD, DevOps, Redis, Docker,K8S,AZURE
- Good sense of software architecture design, application scaling, performance, and security.
- Solid verbal and written communication skills
About the Business
Manupatra provides legal, regulatory, and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law . As a digital pioneer, the company was the first to bring legal and business information online in India.
Artificial Intelligence Specialist
Posted 11 days ago
Job Viewed
Job Description
Position - Lead Software Architect (Agentic AI)
Location - Noida/Bengaluru
Exp - 8+Years
About HCLSoftware
HCLSoftware, a division of HCLTech, develops, markets, sells, and supports transformative solutions across business and industry, intelligent operations, total experience, data and analytics, and cybersecurity. We empower over 20,000 global organizations, including a majority of the Fortune 100 and almost half of the Fortune 500, committed to driving customer success through relentless innovation.
Website
Job Description
- Product Development with 8+ years of experience
- Extensive experience in AI/ML technologies and software development in premiere setups
- Software Architecture: Architectural patterns and their application, tradition and AI applications.
- Expertise in Python / Java programming language/Javascript.
- Experience in development of cutting-edge GenAI solutions, exploring advanced AI models, and proprietary generative models.
- Deep knowledge of Container management tool Kubernetes.
- Exp in Bash Shell Scripting in Linux/Unix.
Mandatory Skills
- Member of a multidisciplinary team able to experiment in a rapid mode - to define, build and validate solutions in a agile fashion.
- Frameworks/Protocols: AgenticAI frameworks - Open Source - langchain, crew.ai & commercial offerings (CoPilot, Agent Space etc.), MCP, A2A etc.
- ML Architectures: GenAI (must have), any 2 of following (Deep Learning, NLP, TensorFlow, PyTorch, and scikit-learn)
- Platforms: AWS, Azure, or Google Cloud, ServiceNow, SalesForce (hands on knowledge with any 2-3)
Qualification
- BE/BTech
Artificial Intelligence Engineer
Posted 18 days ago
Job Viewed
Job Description
Hiring Alert!
CorroHealth is looking for AI Engineer for our product development team based out for Noida (NCR) Location
Candidates who are available for F2F rounds of interview at our Noida sector 142 office can only apply.
Only Immediate joiners preferred for this role!
Job Description
Exp Range: 2+Years
Location: Noida
Job Summary
We are seeking a talented AI Engineer with expertise in building and deploying AI/NLP solutions using platforms like Microsoft Azure OpenAI and GPT models. The ideal candidate will have a strong background in Python/.NET, prompt engineering, and web development, coupled with experience in leveraging GenAI libraries, cloud infrastructure, and modern frameworks like LangChain. If you have a passion for creating cutting-edge AI applications and solving complex problems, we want to hear from you.
Key Responsibilities
- Develop and implement AI/NLP solutions leveraging platforms like Microsoft Azure OpenAI and GPT models.
- Build and optimize AI/ML pipelines using Python and libraries such as PyTorch, Pandas, Pydantic, and scikit-learn.
- Create, deploy, and maintain robust software solutions, ensuring scalability and reliability.
- Extract data from various sources (text, structured data, databases) and preprocess it for AI applications.
- Design and develop web applications using Python, Ubuntu, MySQL/PostgreSQL, HTML, and JavaScript.
- Work with IDEs such as PyCharm and Visual Studio Code to write, debug, and optimize code.
- Utilize frameworks like LangChain for developing AI workflows and solutions.
- Collaborate with team members to report progress, address challenges, and proactively contribute to project goals.
- Maintain version control and workflow management using JIRA, GitHub, and cloud infrastructure.
Qualifications and Skills
Required Skills:
- AI Expertise: Experience with Microsoft Azure OpenAI and GPT models.
- Programming: Proficiency in Python and/Java or .NET or Reactjs/Nodejs for AI and web development.
- Prompt Engineering: Knowledge of programming languages like Python and JavaScript for designing effective prompts.
- Web Development: Strong experience with Python/Ubuntu/MySQL/PostgreSQL/HTML/JavaScript for building web-based solutions.
- Libraries/Frameworks: Familiarity with Python libraries (e.g., PyTorch, Pandas, scikit-learn, Pydantic) and frameworks like LangChain.
- Data Processing: Expertise in extracting, cleaning, and processing data from diverse sources.
- Tools: Proficient with IDEs such as PyCharm and Visual Studio Code .
- Version Control: Knowledge of JIRA, GitHub, and cloud infrastructure for seamless development and deployment.
- Soft Skills: Strong communication, teamwork, and proactive problem-solving skills.
Preferred Skills:
- Experience with GenAI libraries and frameworks for natural language processing.
- Familiarity with building scalable AI workflows using LangChain.
- Hands-on experience with cloud platforms and managing AI workloads in cloud environments.
Interested candidates are invited to share their updated resumes at with below details
Total Exp:
Current CTC:
Expected CTC:
Notice Period:
Reason for change:
At CorroHealth, we want to assure all job seekers that we do not require any payment or monetary arrangement as a condition for employment. CorroHealth does not authorize any third party, agency, company, or individual to request money or financial contributions in exchange for a job opportunity. If you receive any request for payment or suspect fraudulent activity related to job applications at Corrohealth, please do not respond. Instead, contact us immediately at health.com or report the incident to our Compliance Hotline via orroHealth.”
Artificial Intelligence Engineer
Posted 24 days ago
Job Viewed
Job Description
Position Overview:
We are looking for a highly skilled and experienced Senior AI/ML Engineer to join our team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and deep learning, with a proven track record of building and deploying scalable AI models in real-world applications.
Key Responsibilities:
- Design, develop, and deploy scalable AI/ML models and algorithms for real-time or batch processing applications.
- Collaborate with cross-functional teams including data engineering, software development, and product management to integrate AI solutions into products.
- Conduct in-depth research and experimentation to improve model performance and develop new approaches using state-of-the-art techniques.
- Evaluate and optimize ML models for speed, accuracy, and scalability.
- Maintain and improve existing ML infrastructure, pipelines, and toolkits.
- Mentor junior developers and contribute to AI/ML best practices and standards.
- Stay current with the latest research and developments in the AI/ML space.
Required Skills and Qualifications:
- 6+ years of experience in and deploying machine learning and AI solutions.
- Strong programming skills in Python (with libraries like TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas, etc.).
- Solid understanding of machine learning algorithms , statistical modelling , data preprocessing , and feature engineering .
- Experience in building and tuning deep learning models (CNNs, RNNs, Transformers, etc.).
- Proficiency in working with cloud platforms (AWS, GCP, Azure) and ML Ops tools (MLflow, Kubeflow, etc.).
- Experience with big data technologies (e.g., Spark, Hadoop) and data pipelines .
- Strong problem-solving skills and ability to translate business needs into technical solutions.
- Familiarity with model explainability , bias mitigation , and responsible AI practices.
- Experience in natural language processing (NLP) , computer vision , or recommendation systems .
- Familiarity with containerization and orchestration tools (Docker, Kubernetes).
- Published papers or contributions to open-source ML/AI projects.
Certifications (Good to have any)
- Google Professional Machine Learning Engineer
- Microsoft Certified: Azure AI Engineer Associate
- AWS Certified Machine Learning – Specialty
- TensorFlow Developer Certificate
Experience:
- 6+ years of experience in and deploying machine learning and AI solutions.
Educational Qualification(s):
- Bachelor’s in computer science, Machine Learning, Data Science, or a related field.
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Artificial Intelligence Engineer
Posted today
Job Viewed
Job Description
About our Team
Manupatra, serves customers in more than 20 countries is a leading provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying advanced technologies to the legal market to improve productivity and transform the overall business and practice of law.
About the Role
As the AI Engineer/ Data Engineer, we are looking for a skilled LLM Application Developer to join our team. You will be responsible for implementing large language model (LLM) based applications, working with proprietary and open-source models as well as popular frameworks to ensure seamless integration and deployment.
Education
- B.Tech in Computer Science, Data Science, or related field or equivalent experience.
Experience
- Have at least 2+ years of Software Engineering experiences as a team member or team mentor in a mid to large technical company.
Responsibilities
- Building standalone applications that interact with LLM models
- Building RAG-based applications
- Understanding of Vector DBs like Solr for LLM.
- Preprocess and manage data for training and deployment.
- Collaborate with cross-functional teams to define, design, and ship new features.
- Write clean, maintainable, and efficient code.
- Document development processes, code, and APIs.
- Design, prototype, implement, deploy, and maintain features for NLP or AI-related projects
Requirements
- Proven experience in building customer facing ML based APIs
- Experience in developing applications that are scalable to handle TBs of data
- Strong knowledge of API integration (RESTful, GraphQL).
- Experience with data preprocessing, SQL, and NoSQL databases as well as vector stores (e.g., Postgres, MySQL, Solr, Elasticsearch/OpenSearch, etc.)
- Familiarity with deployment tools (Docker, Kubernetes).
- Experience with DevOps tools like Jenkins, Terraform, Cloud Formation templates is highly preferred.
- Excellent problem-solving and communication skills.
- Experience with Spark/Hadoop, EMR or any other Big Data technology would be a plus
- Certifications in machine learning, data science, or cloud computing.
- Portfolio showcasing past projects or contributions to open-source projects.
- Experience working with Python, and optional at least one other programming language such as Flask, Django, FastAPI , Golang, Java, SQL, etc.
- Experience of successfully implement development processes, coding best practices, and code reviews, familiar with CI/CD, DevOps, Redis, Docker,K8S,AZURE
- Good sense of software architecture design, application scaling, performance, and security.
- Solid verbal and written communication skills
About the Business
Manupatra provides legal, regulatory, and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law . As a digital pioneer, the company was the first to bring legal and business information online in India.
Artificial Intelligence Specialist
Posted today
Job Viewed
Job Description
Position - Lead Software Architect (Agentic AI)
Location - Noida/Bengaluru
Exp - 8+Years
About HCLSoftware
HCLSoftware, a division of HCLTech, develops, markets, sells, and supports transformative solutions across business and industry, intelligent operations, total experience, data and analytics, and cybersecurity. We empower over 20,000 global organizations, including a majority of the Fortune 100 and almost half of the Fortune 500, committed to driving customer success through relentless innovation.
Website
Job Description
- Product Development with 8+ years of experience
- Extensive experience in AI/ML technologies and software development in premiere setups
- Software Architecture: Architectural patterns and their application, tradition and AI applications.
- Expertise in Python / Java programming language/Javascript.
- Experience in development of cutting-edge GenAI solutions, exploring advanced AI models, and proprietary generative models.
- Deep knowledge of Container management tool Kubernetes.
- Exp in Bash Shell Scripting in Linux/Unix.
Mandatory Skills
- Member of a multidisciplinary team able to experiment in a rapid mode - to define, build and validate solutions in a agile fashion.
- Frameworks/Protocols: AgenticAI frameworks - Open Source - langchain, crew.ai & commercial offerings (CoPilot, Agent Space etc.), MCP, A2A etc.
- ML Architectures: GenAI (must have), any 2 of following (Deep Learning, NLP, TensorFlow, PyTorch, and scikit-learn)
- Platforms: AWS, Azure, or Google Cloud, ServiceNow, SalesForce (hands on knowledge with any 2-3)
Qualification
- BE/BTech
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Artificial Intelligence Engineer
Posted today
Job Viewed
Job Description
Position Overview:
We are looking for a highly skilled and experienced Senior AI/ML Engineer to join our team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and deep learning, with a proven track record of building and deploying scalable AI models in real-world applications.
Key Responsibilities:
- Design, develop, and deploy scalable AI/ML models and algorithms for real-time or batch processing applications.
- Collaborate with cross-functional teams including data engineering, software development, and product management to integrate AI solutions into products.
- Conduct in-depth research and experimentation to improve model performance and develop new approaches using state-of-the-art techniques.
- Evaluate and optimize ML models for speed, accuracy, and scalability.
- Maintain and improve existing ML infrastructure, pipelines, and toolkits.
- Mentor junior developers and contribute to AI/ML best practices and standards.
- Stay current with the latest research and developments in the AI/ML space.
Required Skills and Qualifications:
- 6+ years of experience in and deploying machine learning and AI solutions.
- Strong programming skills in Python (with libraries like TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas, etc.).
- Solid understanding of machine learning algorithms, statistical modelling, data preprocessing, and feature engineering.
- Experience in building and tuning deep learning models (CNNs, RNNs, Transformers, etc.).
- Proficiency in working with cloud platforms (AWS, GCP, Azure) and ML Ops tools (MLflow, Kubeflow, etc.).
- Experience with big data technologies (e.g., Spark, Hadoop) and data pipelines.
- Strong problem-solving skills and ability to translate business needs into technical solutions.
- Familiarity with model explainability, bias mitigation, and responsible AI practices.
- Experience in natural language processing (NLP), computer vision, or recommendation systems.
- Familiarity with containerization and orchestration tools (Docker, Kubernetes).
- Published papers or contributions to open-source ML/AI projects.
Certifications (Good to have any)
- Google Professional Machine Learning Engineer
- Microsoft Certified: Azure AI Engineer Associate
- AWS Certified Machine Learning – Specialty
- TensorFlow Developer Certificate
Experience:
- 6+ years of experience in and deploying machine learning and AI solutions.
Educational Qualification(s):
- Bachelor’s in computer science, Machine Learning, Data Science, or a related field.
To know our Privacy Policy, please click on the link below or copy paste the URL on your browser:
Artificial intelligence engineer
Posted today
Job Viewed
Job Description
Position OverviewThe Engineer, Artificial Intelligence supports the development and deployment of advanced artificial intelligence solutions. This role focuses on implementing solutions that leverage Machine Learning, Natural Language Processing, and emerging technologies such as Generative AI and Large Language Models. The Engineer, Artificial Intelligence will work closely with data scientists, ML engineers, and product teams to translate business needs into scalable AI systems.Essential DutiesInclude, but are not limited to, the following:Support the execution of ML, NLP, LLM deliverables aligned with AI strategies.Contribute to the development of custom ML, Gen AI, NLP, LLM models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), and NLP/LLM model development.Collaborate closely with data scientists, machine learning engineers, and software engineers to integrate AI models into production systems.Stay current with emerging AI/ML technologies and recommend innovative approaches.Apply best practices in data privacy, security, and biases in AI systems.Minimum Qualifications:Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field; or High School Diploma/General Education Degree and 4+ years of relevant as outlined in the essential duties in lieu of Bachelor’s Degree.Professional experience in AI/ML model development.Demonstrated ability working with machine learning frameworks, programming languages like Python, and cloud platforms.Demonstrated ability to learn new technologies.Demonstrated understanding of ethical considerations in AI systems.Strong analytical and problem-solving skills with understanding of AI/ML techniques.Preferred Qualifications:Experience deploying Gen AI solutions at scale.Experience fine tuning LLMs, SLMs, teacher-student frameworks and model distillation.Familiarity with human in the loop methods for aligning LLMs with human preferences.Familiarity with agentic framework platforms and concepts. Experience deploying agentic-based solutions is a plus.
Artificial intelligence engineer
Posted today
Job Viewed
Job Description
We are seeking an experienced AI Developer (4–6 years) skilled in applying Large Language Models (LLMs) and building AI-driven applications to join our growing team. A significant part of this role involves designing and developing AI Agents within our platform with an initial focus on integrating external LLM APIs(e.g., Open AI, Anthropic, Google) via sophisticated prompt engineering and RAG techniques into these agents, built using Python + Fast API.You will architect the logic for these agents, enabling them to perform complex tasks within our e-commerce and retail data orchestration pipelines. Furthermore, as Ekyam.ai evolves, this role offers the potential to grow into customizing and deploying LLMs in-house, so adaptability and a strong foundation in ML/LLM principles are key.Key ResponsibilitiesAI Agent Development: Design, develop, test, and maintain the core logic for AI Agents within Fast API services. Orchestrate agent tasks, manage state, interact with platform data/workflows, and integrate LLM capabilities.LLM API Integration & Prompt Engineering: Integrate with external LLM provider APIs. Design, implement, and rigorously test effective prompts for diverse retail-specific tasks (generation, Q&A, summarization).RAG Implementation: Implement and optimize Retrieval-Augmented Generation (RAG) patterns using vector databases to provide relevant context to LLM API calls made by agents.Fast API Microservice Development: Build and maintain the scalable Fast API microservices that host AI Agent logic and handle interactions with LLMs and other platform components in a containerized environment (Docker, Kubernetes).Data Processing for AI: Prepare and preprocess data required for effective prompt context, RAG retrieval, and potentially for future fine-tuning tasks.Collaboration & Future Adaptation: Work with cross-functional teams to deliver AI features. Stay updated on LLM advancements and be prepared to learn and contribute to potential future in-house LLM fine-tuning and deployment efforts.Required Skills & Qualifications4–6 years of hands-on experience in software development with a strong focus on AI/ML application development.Demonstrable experience integrating and utilizing external LLM APIs (e.g., Open AI, Anthropic, Google) in applications.Proven experience with Prompt Engineering techniques.Strong Python programming skills.Practical experience building and deploying RESTful APIs using Fast API.Experience designing and implementing application logic for AI-driven features or agents.Understanding and practical experience with RAG concepts and vector databases (Pinecone, FAISS, etc.).Solid understanding of core Machine Learning concepts and familiarity with frameworks like Py Torch, Tensor Flow, or Hugging Face (important for understanding models and future adaptation).Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) for application deployment.Solid problem-solving skills and clear communication abilities.Experience working effectively in an agile environment.Willingness and capacity to learn and adapt towards future work involving deeper LLM customization and deployment.Bachelor's or Master's degree in Computer Science, AI, or a related field.Ability to work independently and collaborate effectively in a remote setting.Preferred QualificationsExperience with frameworks like Lang Chain or Llama Index.Experience with observability and debugging tools for LLM applications, such as Lang Smith.Experience with graph databases (e.g., Neo4j) and query languages (e.g., Cypher).Experience with MLOps practices, applicable to both current application monitoring and future model lifecycle management.Experience optimizing API call performance (latency/cost) or model inference.Knowledge of AI security considerations and bias mitigation.