465 Artificial Intelligence jobs in Noida

Company Description

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Role Description

This is a full-time on-site role for an Artificial Intelligence Intern located in New Delhi. The Artificial Intelligence Intern will be responsible for working on AI-based projects, conducting data analysis, developing machine learning models, and programming. Daily tasks will involve collaborating with team members, troubleshooting technical issues, and contributing to the enhancement of our AI capabilities.

Qualifications

• Knowledge in Computer Science and Programming skills
• Analytical Skills and experience in Data Science
• Understanding of Machine Learning concepts and techniques
• Proactive problem-solving abilities
• Excellent teamwork and communication skills
• Pursuing or completed a degree in a relevant field is beneficial
• Stipend 20k/PM

We are looking for a talented AI Developer to join our team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and data science, with a passion for developing innovative AI solutions that solve complex problems. As an AI Developer, you will work closely with cross-functional teams to design, implement, and deploy AI models and algorithms that enhance our products and services. 

Key Responsibilities:  

• AI Model Development:  Design, develop, and deploy AI models and algorithms, including machine learning, deep learning, and natural language processing (NLP) models. 
• Data Processing:  Collect, clean, and preprocess data for training and testing AI models. 
• Algorithm Optimization:  Optimize and fine-tune models for performance, accuracy, and scalability. 
• Integration:  Integrate AI solutions into existing systems and applications. 
• Research:  Stay up-to-date with the latest AI research and technologies, and apply them to solve real-world problems. 
• Collaboration:  Work with data scientists, engineers, product managers, and other stakeholders to understand requirements and deliver AI solutions that meet business needs. 
• Documentation:  Document the AI models, processes, and methodologies used in the development lifecycle. 
• Testing and Validation:  Implement and conduct rigorous testing and validation of AI models to ensure their robustness and reliability. 
• Maintenance:  Monitor and maintain deployed AI models, ensuring they continue to perform as expected over time. 

Required Skills and Qualifications:  

• Education:  Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 
• Experience:  Proven experience in developing and deploying AI models and algorithms. 
• Programming:  Proficiency in programming languages such as Python, R, Java, or C++. 
• Libraries and Frameworks:  Experience with AI/ML libraries and frameworks such as TensorFlow, Keras, PyTorch, Scikit-learn, and others. 
• Data Handling:  Strong understanding of data structures, data modeling, and data processing techniques. 
• Mathematics:  Solid foundation in mathematics, including statistics, linear algebra, and calculus. 
• Problem-Solving:  Excellent analytical and problem-solving skills, with the ability to think critically and creatively. 
• Communication:  Strong written and verbal communication skills, with the ability to explain complex AI concepts to non-technical stakeholders. 
• Teamwork:  Ability to work effectively in a collaborative team environment. 

Preferred Skills and Qualifications:  

• Experience with Cloud Platforms:  Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for deploying AI models. 
• Big Data Technologies:  Experience with big data technologies such as Hadoop, Spark, or Apache Flink. 
• NLP and Computer Vision:  Experience in developing NLP and computer vision applications. 
• Version Control:  Proficiency with version control systems like Git. 
• DevOps:  Understanding of DevOps practices for continuous integration and deployment (CI/CD) of AI models. 
• Industry Knowledge:  Experience in applying AI in specific industries such as healthcare, finance, retail, or manufacturing. 

Company Overview:

We are a dynamic and innovative technology company leveraging cutting-edge cloud technologies and generative AI to create groundbreaking solutions that address complex challenges across various industries. We are seeking a skilled AI Engineer to to drive the architecture and development of our AI/ML applications, contributing to our growth and success.

Role Overview:

You will collaborate closely with cross-functional teams to design, develop, and deploy innovative solutions that harness the power of AI and generative technologies . Your technical expertise, leadership skills, and passion for pushing boundaries will be instrumental in achieving our goals.

Responsibilities:

• Lead the design, architecture, and development of Gen AI applications using cloud technologies.
• Collaborate with product managers, software engineers, and end user to define application requirements, user experiences, and technical specifications.
• Drive technical excellence, code quality, and best practices within the team.
• Stay abreast of the latest advancements in Gen AI, cloud technologies, and software engineering trends, and incorporate relevant technologies into the development process.
• Collaborate with teams to ensure seamless deployment, scaling, and operation of applications in cloud environments.
• Actively participate in code reviews, providing constructive feedback and promoting code quality standards.
• Lead performance optimization efforts and address technical challenges to ensure the reliability and scalability of Gen AI applications.
• Contribute to the creation of technical documentation, including architectural diagrams, design specifications, and user guides.

Qualifications :

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Must have 3+ years of experience with proven track record of architecting and developing software applications, preferably chatbots, information retrieval , enterprise search applications.
• Experience with extracting and organizing information from unstructured documents like pdf, word, text files and structured datasets.
• Experience working on information retrieval applications based on natural language queries .
• You have knowledge or experience working with vector databases .
• Proficiency in Python and experience with deep learning frameworks (PyTorch/TensorFlow)
• Familiarity with LLM serving frameworks (vLLM, HuggingFace, TensorRT-LLM, Triton)
• Understanding of GPU/TPU architectures and performance tuning
• Exposure to OCR tools (Tesseract, PaddleOCR, DocTR)
• Knowledge of prompt engineering and evaluation techniques
• Excellent problem-solving skills and ability to think critically and analytically.
• Strong communication and collaboration skills, with the ability to work effectively across cross-functional teams.
• Demonstrated ability to manage multiple priorities and meet deadlines in a fast-paced environment.

About Us

We’re an AI-first consultancy reimagining how organisations work. Our mission is to help businesses integrate Artificial Intelligence into their core operations — making them faster, smarter, and more efficient. We work across industries such as construction, manufacturing, and professional services, combining strategy, data, and automation to deliver measurable impact.

We believe AI should empower everyone. Our work is built on diversity of thought, backgrounds, and experiences — because innovation thrives where different perspectives meet.

About the Role

We’re looking for a driven AI Intern to join our team. This is an opportunity to work hands-on with our consultants, data scientists, and automation experts to design and deploy AI solutions that solve real business challenges. You’ll gain experience that bridges technical skill and commercial impact — from training AI models to translating data into strategy.

What You’ll Do

• Support the design, testing, and optimisation of AI and automation models.

• Work with real business data to uncover inefficiencies and improvement opportunities.

• Assist in training, validating, and deploying machine learning models.

• Collaborate with consulting teams to turn analytics into actionable recommendations.

• Research emerging AI tools and techniques relevant to business process transformation.

• Help maintain and enhance internal AI knowledge bases and data pipelines.

What We’re Looking For

• Studying Computer Science, Data Science, Engineering, or a related field.

• Solid knowledge of Python and AI/ML libraries (pandas, scikit-learn, PyTorch, TensorFlow).

• Strong analytical thinking and attention to detail.

• Interest in automation, process design, or digital transformation.

• Excellent communication skills — able to explain technical insights clearly.

• Curiosity, adaptability, and a proactive approach to learning.

Nice to Have

• Experience with process mining, workflow tools, or data engineering.

• Knowledge of NLP, generative AI, or large language models.

• Familiarity with Power BI, Tableau, or cloud platforms (AWS, Azure, GCP).

What You’ll Gain

• Practical experience applying AI in real consulting projects.

• Mentorship from experienced consultants and data scientists.

• Opportunity to contribute to projects with visible client impact.

• A deep understanding of how AI drives measurable business ROI.

• Potential for a full-time offer based on performance.

Diversity, Equity & Inclusion

At BPR AI we’re committed to building an inclusive environment where everyone can thrive. We welcome applicants from all backgrounds, regardless of age, gender, ethnicity, disability, sexual orientation, religion, or socioeconomic status. We care about who you are, what you can do, and the perspective you bring.

Details

Location: Remote (India)

Duration: 3–6 months

Start Date: Flexible

Compensation: Competitive internship stipend

About D Globalist

D Globalist is the world's largest ecosystem of founders looking at geo expansion with a global Business Accelerator support. Being a pioneer in creating the first cross border accelerator, DG is redefining the way businesses are connecting globally.

Your Role

• Integrate AI modules and data engines that power key user workflows
• Work on creating the SaaS platform for companies for cross border expansion support
• Build and manage the initial engineering team (in-house and/or outsourced)
• Work closely with the founding team to translate vision into scalable, secure, and delightful software
• Champion agile development, quality releases, and rapid iterations during alpha, beta, and public launch phases
• Bring a strong product mindset to align tech execution with business outcomes

You’re a Great Fit If You

• Architect scalable AI systems powering DG core modules
• Design data pipelines, model orchestration layers, and AI APIs integrated with the product backend.
• Evaluate, fine-tune, and deploy large language models (OpenAI, Anthropic, Mistral, etc.) for contextual intelligence.
• Collaborate with data scientists, full-stack engineers, and product teams to align architecture with business goals.
• Lead development of embeddings, retrieval systems, and knowledge graphs for founder matchmaking.
• Implement performance monitoring, cost optimization, and safety frameworks for deployed AI models.
• Explore integrations with vector databases, agent frameworks, and proprietary fine-tuning datasets.
• Mentor AI engineers and define best practices for scalable MLops and AI reliability.

Ideal Candidate

• Degree from IIT, IV league or Top Tier College
• 4–8 years of experience in AI/ML engineering or architecture, with hands-on experience in building and deploying LLM-powered systems.
• Expertise in Python, LangChain, OpenAI APIs, Pinecone/Weaviate, FastAPI, TensorFlow/PyTorch.
• Deep understanding of LLM orchestration, embeddings, RAG pipelines, and multi-agent systems.
• Experience architecting data-driven SaaS or recommendation platforms.
• Strong grasp of system design, data privacy, prompt optimization, and API scaling.
• Entrepreneurial mindset - you think like a founder, not an employee.
• Passionate about building AI that solves real-world problems for founders  and accelerates global business mobility.

Compensation Structure

Equity & Fixed

Why Join us?

• Join forces with the team behind D Globalist - an established name in global expansion with 1000+ founders, investors, and ecosystem partners across India, Europe, and the US
• Build a first-of-its-kind tech product at the intersection of global business, intelligence, and scale
• Be part of a fast-paced, execution-obsessed team that values trust, autonomy, and ambition

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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Google DialogFlow experience and also Python hands-on experience

Primary skills (100%) / experience

• Python
• AI integrations, LLM models (Google DialogFlow or Amazon Bedrock or OpenAI etc.)
• Cloud technologies – preferably GCP

Secondary skills (50%)/ experience

• API integration
• Javascript for Prompt engineering
• CI/CD
• Git
• NodeJS

Job Summary:

We are looking for an AI Engineer with strong expertise in designing and deploying AI/ML solutions that solve real-world business problems. The ideal candidate combines a deep understanding of machine learning with strong Python scripting skills, enabling them to move from concept to production quickly.

Key Responsibilities:

· Apply AI/ML techniques to business use cases in predictive modeling, NLP, computer vision, and optimization.

· Collaborate with stakeholders to translate business needs into AI-driven solutions.

· Develop and maintain production-ready pipelines for data processing, model training, deployment, and monitoring.

· Leverage Python scripting for automation, data transformation, and workflow orchestration.

· Integrate AI models into applications, APIs, and enterprise systems.

· Continuously evaluate and optimize model performance for accuracy, scalability, and cost-efficiency.

· Stay up to date with emerging AI/ML frameworks, tools, and best practices.

Required Qualifications:

· 4+ years of applied AI/ML experience with proven deployment in production.

· Must have exposure to NLP and Generative AI solutions.

· Experience with containerization (Docker, Kubernetes) for ML workloads.

· Strong hands-on expertise in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).

· Experience applying machine learning algorithms to structured and unstructured data.

· Solid knowledge of data pipelines, APIs, and automation using Python scripting.

· Experience with cloud AI/ML services (Azure ML, AWS SageMaker, GCP Vertex AI).

· Familiarity with MLOps practices for deployment, monitoring, and lifecycle management.

· Strong problem-solving ability and business mindset for practical AI applications.

Position Overview

The 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 Duties

Include, 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.