What Jobs are available for Deep Learning Frameworks in Delhi?
Showing 39 Deep Learning Frameworks jobs in Delhi
Artificial Intelligence Intern
Delhi, Delhi
BPR AI
Posted 10 days ago
Job Viewed
Job Description
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
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0
Senior Artificial Intelligence Engineer
New Delhi, Delhi
go4WorldBusiness.com - Import | Export | Trade | Worldwide.
Posted 10 days ago
Job Viewed
Job Description
Experience : 5+ years of hands-on experience in software or AI/ML development, ideally with some exposure to leading projects or mentoring others.
About The Role
We are setting up a dedicated AI department at go4WorldBusiness to power the next generation of intelligent, AI-driven products and systems that transform how global businesses connect.
As a Senior AI Engineer , you won’t just be building models—you’ll be shaping how AI is integrated across our platform. You’ll lead by example in designing and deploying robust systems, work with both traditional ML and modern LLM-based architectures, and help set the foundation for how AI is done here—technically and culturally.
This is a rare opportunity for someone who wants to stay hands-on with code while also stepping into a role that has real influence, responsibility, and long-term ownership.
What You’ll Do Most Of The Time
- Design, build, and ship production-grade AI systems—ranging from classical ML to modern LLM-powered features.
- Lead AI projects from idea to execution, including architecture, modeling, evaluation, and deployment.
- Work with unstructured data, embeddings, vector databases, and real-world data problems.
- Evaluate and integrate LLM-based tools like OpenAI, LangChain, HuggingFace, or Ollama where appropriate.
- Collaborate with product and engineering teams to deliver AI capabilities that have real user and business impact.
- Mentor junior AI engineers and contribute to a culture of fast learning, clean code, and clear thinking.
- Stay on top of advancements in AI/ML and help guide our strategy with technical insight.
What You’ll Need To Qualify
- Excellent communication and critical thinking—you're as comfortable explaining your decisions as you are making them.
- Proficiency in Python and familiarity with modern AI/ML libraries (e.g., scikit-learn, PyTorch, TensorFlow).
- Experience building and deploying ML or LLM-based systems in production environments.
- Strong understanding of ML workflows, vector search, APIs, and data pipelines.
- Prior experience taking ownership of projects or mentoring team members.
Preferred Skills
You don’t need to know all of these — but you should be excited to learn what you don’t:
- Hands-on with OpenAI, HuggingFace, LangChain, or other LLM-based frameworks
- Experience with FastAPI, Docker, or MLOps tools like MLflow and Airflow
- Comfort working with vector databases (e.g., FAISS, Pinecone, Qdrant)
- Familiarity with prompt engineering, retrieval-augmented generation (RAG), and evaluation of generative outputs
- Ability to balance trade-offs between performance, cost, and complexity in AI deployments
What You’ll Get
- A chance to lead and build in an AI-first team working on impactful, real-world challenges
- Opportunity to grow into a leadership role while staying close to the code
- Industry-best salary with strong growth upside
- Mentorship, autonomy, and ownership from day one
- 5-day work week
- Annual loyalty bonus
- Six-monthly profit sharing bonus
- PF and Gratuity
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1
Senior Lecturer - Computer Science & Artificial Intelligence
110001 Delhi, Delhi
₹1000000 Annually
WhatJobs
Posted 19 days ago
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Job Description
Our client, a prestigious university renowned for its academic excellence, is seeking an accomplished Senior Lecturer to join their esteemed Faculty of Computer Science in **Delhi, Delhi, IN**. This role involves delivering high-quality undergraduate and postgraduate courses, conducting cutting-edge research, and contributing to the academic and administrative life of the department. You will be expected to teach a range of subjects within Computer Science, with a particular emphasis on Artificial Intelligence and Machine Learning. Responsibilities include developing and updating course curricula, designing and delivering engaging lectures, and creating effective assessment methods. You will also supervise student projects, theses, and dissertations, providing mentorship and academic guidance. A significant aspect of the role involves pursuing independent research, publishing in reputable academic journals, and actively participating in conferences. The ideal candidate will possess a strong publication record and a demonstrated ability to secure research funding. You will also contribute to departmental committees and engage in service activities. A PhD in Computer Science or a closely related field, with a specialization in Artificial Intelligence, Machine Learning, or Data Science, is mandatory. A minimum of 5-7 years of experience in teaching and research at the university level is required. Excellent communication, presentation, and interpersonal skills are essential for engaging with students and colleagues. This position offers a hybrid work arrangement, allowing for a balance of on-campus teaching and research activities, along with remote work flexibility. This is an exceptional opportunity to contribute to the development of future technology leaders and advance the field of computer science within a dynamic academic environment located in **Delhi, Delhi, IN**.
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2
Machine Learning Engineer
Delhi, Delhi
Gabeo.ai
Posted 10 days ago
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Job Description
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3
AI & Machine Learning Lead
110001 Delhi, Delhi
₹1500000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client, a trailblazer in AI & Emerging Technologies, is seeking an innovative and experienced AI & Machine Learning Lead to spearhead their advanced research and development initiatives. This role offers a compelling opportunity to shape the future of artificial intelligence and drive the creation of groundbreaking solutions. You will lead a team of talented data scientists and engineers, guiding the development and deployment of cutting-edge ML models and AI systems. This position requires a deep theoretical understanding of AI/ML principles and extensive practical experience in applying these concepts to solve complex real-world problems. Responsibilities include defining the AI/ML strategy, overseeing the design, development, and implementation of machine learning algorithms and models, conducting research into new AI techniques, managing data science projects from inception to deployment, and mentoring and guiding the ML team. You will also collaborate with product and engineering teams to integrate AI capabilities into existing and new products, ensure the scalability and efficiency of ML pipelines, and stay at the forefront of AI research advancements. The ideal candidate will hold a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a minimum of 7 years of experience in AI/ML development and leadership. Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python), and cloud platforms (e.g., AWS, Azure, GCP) is essential. Strong leadership, communication, and strategic thinking skills are crucial. This is a fully remote position, so excellent self-management and virtual collaboration abilities are key. Join our client to redefine the boundaries of AI and make a significant impact in the world of emerging technologies.
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4
Senior Machine Learning Engineer
110007 Delhi, Delhi
₹1800000 Annually
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client, a global leader in AI innovation, is seeking a highly skilled and experienced Senior Machine Learning Engineer to join their cutting-edge research and development team in Delhi, Delhi, IN . This hybrid role offers the perfect blend of in-office collaboration and remote flexibility. You will be responsible for designing, building, and deploying advanced machine learning models and systems that drive significant business impact. This includes developing sophisticated algorithms, implementing deep learning frameworks, and optimizing model performance for scalability and efficiency. The ideal candidate will possess a Master's or Ph.D. in Computer Science, Machine Learning, or a related quantitative field, coupled with a proven track record of successfully delivering ML solutions in a production environment. Expertise in Python, TensorFlow, PyTorch, and other relevant ML libraries and frameworks is essential. Strong understanding of data structures, algorithms, and software engineering best practices is also required. You should have experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP). Excellent problem-solving, analytical, and communication skills are crucial for collaborating with cross-functional teams, including data scientists, software engineers, and product managers. You will play a key role in shaping our ML strategy, mentoring junior engineers, and contributing to the advancement of state-of-the-art AI technologies. This is an exceptional opportunity to work on challenging problems, innovate with cutting-edge technology, and contribute to projects that are defining the future of artificial intelligence. The role demands a proactive, results-oriented individual who thrives in a dynamic, research-intensive environment.
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5
Senior Machine Learning Engineer
110001 Delhi, Delhi
₹160000 Annually
WhatJobs
Posted 18 days ago
Job Viewed
Job Description
Our client is seeking a highly accomplished Senior Machine Learning Engineer to spearhead advanced AI initiatives within their dynamic research and development team. This role is integral to designing, building, and deploying sophisticated machine learning models that drive innovation across various product lines. You will be responsible for the end-to-end machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. The ideal candidate will possess deep expertise in ML algorithms, strong programming skills, and a proven ability to lead complex projects and mentor junior engineers.
Responsibilities:
Responsibilities:
- Design, develop, and implement advanced machine learning models and algorithms for diverse applications.
- Lead the entire ML lifecycle, including data collection, cleaning, feature engineering, model training, validation, and deployment.
- Collaborate with data scientists, software engineers, and product managers to define ML requirements and translate them into robust solutions.
- Optimize model performance for accuracy, efficiency, and scalability.
- Stay current with state-of-the-art ML research and techniques, and proactively identify opportunities for application.
- Develop and maintain ML infrastructure, tools, and pipelines.
- Conduct thorough model evaluation and A/B testing to ensure effectiveness and impact.
- Mentor and guide junior machine learning engineers and data scientists.
- Communicate complex technical concepts and findings to both technical and non-technical audiences.
- Contribute to the company's intellectual property through patents and publications.
- Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field.
- Minimum of 7 years of experience in machine learning engineering or a closely related role.
- Proven track record of successfully developing and deploying ML models in production environments.
- Deep understanding of various ML algorithms (e.g., deep learning, reinforcement learning, natural language processing).
- Proficiency in programming languages such as Python and experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, GCP, Azure).
- Strong understanding of software engineering best practices, including version control, testing, and CI/CD.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and leadership abilities.
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6
Senior Machine Learning Engineer
110001 Delhi, Delhi
₹100000 Monthly
WhatJobs
Posted 22 days ago
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Job Description
Our client, a forward-thinking organization at the forefront of Scientific Research & Development, is seeking a talented Senior Machine Learning Engineer. This role offers a hybrid work arrangement, combining the flexibility of remote work with essential on-site collaboration in Delhi, Delhi, IN . You will play a key role in designing, developing, and deploying advanced machine learning models and solutions that drive innovation and solve complex problems. Your responsibilities will include data preprocessing, feature engineering, model training and evaluation, and deployment of ML systems into production environments. You will work closely with data scientists, software engineers, and domain experts to build robust and scalable ML pipelines. The ideal candidate possesses strong programming skills, a deep understanding of various ML algorithms and frameworks, and a passion for applying ML to real-world challenges.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, implement, and deploy machine learning models and algorithms for various applications.
- Develop and maintain scalable ML pipelines for data preprocessing, feature engineering, model training, and inference.
- Collaborate with data scientists to validate models and ensure their performance meets business requirements.
- Work with software engineers to integrate ML models into existing systems and products.
- Optimize model performance for efficiency, accuracy, and scalability.
- Conduct experiments to evaluate different modeling approaches and hyperparameter tuning.
- Stay updated on the latest advancements in machine learning and AI technologies.
- Document ML models, processes, and codebase thoroughly.
- Troubleshoot and resolve issues related to ML model deployment and performance.
- Mentor junior engineers and contribute to the team's knowledge sharing.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related quantitative field.
- Minimum of 5 years of experience in machine learning engineering or a related role.
- Strong proficiency in programming languages such as Python, Java, or Scala.
- Hands-on experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, XGBoost).
- Solid understanding of data structures, algorithms, and software engineering best practices.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices.
- Knowledge of big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Ability to work effectively in a hybrid team environment.
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7
AI Research Scientist - Machine Learning
110001 Delhi, Delhi
₹1100000 Annually
WhatJobs Direct
Posted 2 days ago
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Job Description
Our client is seeking a brilliant and innovative AI Research Scientist specializing in Machine Learning to join their cutting-edge team in **Delhi, Delhi, IN**. This role is perfect for individuals passionate about pushing the boundaries of artificial intelligence and developing novel algorithms and solutions. You will be instrumental in designing, developing, and implementing advanced machine learning models for a variety of applications, contributing to groundbreaking research and product development. Responsibilities include conducting in-depth research into new ML techniques, experimenting with different algorithms, and building robust predictive models. You will collaborate with a team of talented researchers and engineers, publishing findings, and contributing to open-source projects. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a strong publication record in top-tier AI conferences and journals. Proven experience in developing and deploying machine learning models for real-world problems is essential. Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras, and proficiency in programming languages like Python, Java, or C++ are required. A solid understanding of various ML algorithms, including supervised, unsupervised, and reinforcement learning, is crucial. Excellent analytical, problem-solving, and critical thinking skills are necessary, as is the ability to work independently and as part of a collaborative research team. You should be adept at translating complex theoretical concepts into practical, scalable solutions. This role offers the opportunity to work on challenging problems, access state-of-the-art resources, and contribute to the rapidly evolving field of AI. If you are driven by curiosity, innovation, and a desire to make a significant impact in AI, we encourage you to apply.
Key Responsibilities:
Key Responsibilities:
- Conduct research and development in advanced machine learning algorithms and techniques.
- Design, implement, and evaluate novel AI models for various applications.
- Collaborate with engineering teams to integrate ML models into production systems.
- Analyze large datasets to extract insights and identify patterns.
- Stay abreast of the latest advancements in AI and machine learning research.
- Publish research findings in top-tier conferences and journals.
- Develop and implement robust data preprocessing and feature engineering pipelines.
- Contribute to the development of AI/ML frameworks and tools.
- Mentor junior researchers and engineers in AI/ML topics.
- Present research outcomes and technical solutions to diverse audiences.
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8
Lead Machine Learning Engineer - NLP
110013 Delhi, Delhi
₹1500000 Annually
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client is looking for a talented and innovative Lead Machine Learning Engineer specializing in Natural Language Processing (NLP) to spearhead cutting-edge AI projects. This role offers a unique opportunity to work at the forefront of artificial intelligence, developing sophisticated models and solutions that will redefine user experiences and business intelligence. You will be instrumental in designing, implementing, and deploying advanced NLP algorithms for tasks such as text classification, sentiment analysis, machine translation, and conversational AI. The ideal candidate possesses a deep theoretical understanding of machine learning principles and extensive practical experience with NLP frameworks like TensorFlow, PyTorch, and NLTK. You will guide a team of engineers, fostering a collaborative and high-performance environment, and will be responsible for architectural decisions, code quality, and mentoring junior team members. This hybrid role combines the flexibility of remote work with the collaborative benefits of in-office engagement, allowing for dynamic teamwork and innovation. You will interact closely with product managers, data scientists, and software engineers to translate business requirements into robust, scalable machine learning solutions. Responsibilities:
- Lead the design, development, and deployment of NLP models and systems.
- Mentor and guide a team of machine learning engineers.
- Conduct research into state-of-the-art NLP techniques and apply them to solve real-world problems.
- Optimize model performance, scalability, and efficiency.
- Collaborate with cross-functional teams to define project roadmaps and deliverables.
- Develop and maintain high-quality, production-ready code.
- Stay abreast of the latest advancements in AI and ML research.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- Proven experience (7+ years) in machine learning, with a strong focus on NLP.
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Strong understanding of deep learning architectures relevant to NLP (e.g., Transformers, RNNs, LSTMs).
- Excellent problem-solving and analytical skills.
- Demonstrated leadership experience.
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9