What Jobs are available for Machine Learning Engineer in Delhi?

Showing 65 Machine Learning Engineer jobs in Delhi

Machine Learning Engineer

Delhi, Delhi Gabeo.ai

Posted 8 days ago

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Senior Machine Learning Engineer

110007 Delhi, Delhi ₹1800000 Annually WhatJobs

Posted 2 days ago

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full-time
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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Senior Machine Learning Engineer

110001 Delhi, Delhi ₹160000 Annually WhatJobs

Posted 17 days ago

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full-time
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:
  • 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.
Qualifications:
  • 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.
This position requires your on-site presence at our cutting-edge facility in **Delhi, Delhi, IN**. You will be at the forefront of AI innovation, working on challenging problems that have a significant impact. Our client offers a collaborative environment with opportunities for continuous learning and professional growth.
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Senior Machine Learning Engineer

110001 Delhi, Delhi ₹100000 Monthly WhatJobs

Posted 21 days ago

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full-time
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:
  • 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.
This is an exciting opportunity to contribute to groundbreaking R&D initiatives and shape the future of AI-driven solutions.
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Lead Machine Learning Engineer - NLP

110013 Delhi, Delhi ₹1500000 Annually WhatJobs

Posted 2 days ago

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full-time
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.
Qualifications:
  • 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.
Join our client, a rapidly growing company dedicated to pushing the boundaries of AI. This position is based in Delhi, Delhi, IN , offering a hybrid work model.
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Machine Learning Engineer - H&E Staining

Delhi, Delhi Micro Crispr Pvt. Ltd.

Posted 8 days ago

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Job Title: H&E Image Analysis Scientist / Machine Learning Engineer- Spatial Omics (PhD)

Experience: Freshers

Location: Delhi


Job Description:

We are seeking a motivated PhD candidate interested in machine learning for histopathology

image analysis. The candidate will contribute to developing and optimizing deep learning

models to analyze digitized H&E slides for cancer classification and spatial mapping. This

role is well-suited for researchers aiming to apply advanced computational methods to

biomedical challenges.


Responsibilities:

● Design, develop, and train convolutional neural networks (CNNs) and related ML

models on H&E-stained histology images.

● Use and extend tools such as QuPath for cell annotations, segmentation models, and

dataset curation.

● Preprocess, annotate, and manage large image datasets to support model training

and validation.

● Collaborate with cross-disciplinary teams to integrate image-based predictions with

molecular and clinical data.

● Analyze model performance and contribute to improving accuracy, efficiency, and

robustness.

● Document research findings and contribute to publications in peer-reviewed journals.


Qualifications:

● PhD in Computer Science, Biomedical Engineering, Data Science, Computational

Biology, or a related discipline.

● Demonstrated research experience in machine learning, deep learning, or biomedical

image analysis (e.g., publications, thesis projects, or conference presentations).

● Strong programming skills in Python and experience with ML frameworks such as

TensorFlow or PyTorch.

● Familiarity with digital pathology workflows, image preprocessing/augmentation, and

annotation tools.

● Ability to work collaboratively in a multidisciplinary research environment.


Preferred:

● Background in cancer histopathology or biomedical image analysis.

● Knowledge of multimodal data integration, including spatial transcriptomics.

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Senior Machine Learning Engineer - Computer Vision

110001 Delhi, Delhi ₹80000 Annually WhatJobs

Posted 21 days ago

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full-time
Our client is seeking a highly accomplished Senior Machine Learning Engineer specializing in Computer Vision to join their cutting-edge AI research and development team in Delhi, Delhi, IN . This role is critical in driving innovation and developing state-of-the-art computer vision solutions that will shape the future of various industries. The ideal candidate will have a proven track record of designing, implementing, and deploying complex machine learning models, with a strong emphasis on deep learning architectures for image and video analysis. You will be responsible for the end-to-end development lifecycle, from data acquisition and preprocessing to model training, evaluation, and deployment. This includes leveraging large-scale datasets, optimizing model performance, and ensuring scalability and robustness. Key responsibilities involve leading research initiatives, identifying novel approaches to solve challenging computer vision problems, and staying at the forefront of academic and industry advancements in the field. You will mentor junior engineers, foster a culture of technical excellence, and collaborate closely with product managers and other stakeholders to translate business requirements into effective AI solutions. Expertise in popular deep learning frameworks such as TensorFlow, PyTorch, or Keras is essential, along with a deep understanding of algorithms like Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformers for vision tasks. Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices for productionizing models is highly desirable. The ability to debug complex systems, optimize code for performance, and contribute to the overall architecture of our machine learning infrastructure will be crucial. We are looking for a highly motivated and results-oriented individual who thrives in a fast-paced, collaborative research environment. If you are passionate about pushing the boundaries of computer vision and have a desire to make a significant impact in the field of AI, this is an exceptional opportunity in Delhi, Delhi, IN .

Responsibilities:
  • Design, develop, and implement advanced machine learning models for computer vision tasks.
  • Conduct research and experimentation to advance state-of-the-art in image and video analysis.
  • Lead the end-to-end machine learning project lifecycle, from data to deployment.
  • Optimize model performance, scalability, and efficiency.
  • Collaborate with cross-functional teams to define project requirements and deliver solutions.
  • Stay current with the latest research and industry trends in AI and Computer Vision.
  • Mentor junior machine learning engineers and contribute to knowledge sharing.
  • Develop and maintain ML pipelines and MLOps practices.
  • Evaluate and integrate new technologies and tools.
  • Present research findings and project progress to stakeholders.
Qualifications:
  • Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related quantitative field.
  • 5+ years of experience in machine learning, with a strong focus on Computer Vision.
  • Proven experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Expertise in algorithms like CNNs, RNNs, Transformers for vision.
  • Strong programming skills in Python and C++.
  • Experience with large-scale data processing and distributed training.
  • Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps.
  • Excellent analytical and problem-solving abilities.
  • Strong communication and teamwork skills.
  • Demonstrated ability to lead projects and mentor team members.
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Remote Senior Machine Learning Engineer - AI Innovation

110001 Delhi, Delhi ₹2200000 Annually WhatJobs

Posted 16 days ago

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full-time
Our client, a forefront innovator in the IT & Software industry, is seeking a highly skilled Senior Machine Learning Engineer to join their cutting-edge, fully remote team. This role is critical in developing and deploying advanced machine learning models that drive significant business impact. You will be responsible for the end-to-end machine learning lifecycle, from data exploration and feature engineering to model training, evaluation, and deployment into production environments. Responsibilities include researching and implementing state-of-the-art ML algorithms, collaborating with data scientists and software engineers, and ensuring the scalability and efficiency of ML systems. The ideal candidate will possess a Master's or Ph.D. in Computer Science, Statistics, or a related quantitative field, with a minimum of 7 years of hands-on experience in machine learning and artificial intelligence. Proven expertise in programming languages such as Python and libraries like TensorFlow, PyTorch, or scikit-learn is mandatory. Strong experience with cloud platforms (AWS, Azure, GCP) and MLOps practices (model deployment, monitoring, and management) is highly desirable. Excellent understanding of deep learning, natural language processing (NLP), computer vision, or reinforcement learning is required, depending on project needs. Exceptional problem-solving skills, analytical thinking, and the ability to translate complex business problems into scalable ML solutions are essential. As this is a fully remote position, outstanding communication, collaboration, and self-management skills are paramount. You must be capable of working effectively within a distributed team and contributing to a culture of innovation. This is an unparalleled opportunity to work on challenging AI problems and contribute to groundbreaking software solutions from anywhere.
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Lead AI Engineer - Machine Learning Operations

110001 Delhi, Delhi ₹130000 Annually WhatJobs

Posted 15 days ago

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full-time
Our client, a forward-thinking technology firm at the forefront of artificial intelligence, is seeking a talented Lead AI Engineer to drive their Machine Learning Operations (MLOps). This fully remote position offers the exciting opportunity to architect, build, and maintain robust MLOps pipelines that enable the efficient deployment, monitoring, and management of machine learning models at scale. You will play a critical role in streamlining the entire ML lifecycle, from experimentation and training to production deployment and performance tracking. Responsibilities include developing and implementing CI/CD pipelines for machine learning, automating model retraining and deployment processes, establishing best practices for model versioning and governance, and setting up comprehensive monitoring and alerting systems. The ideal candidate will have extensive experience with cloud platforms (AWS, Azure, GCP), containerization technologies (Docker, Kubernetes), and a deep understanding of ML frameworks (TensorFlow, PyTorch). Strong programming skills in Python, coupled with expertise in data engineering and infrastructure management, are essential. You should be adept at collaborating with data scientists and software engineers, translating complex requirements into scalable and reliable MLOps solutions. We are looking for a proactive leader who can mentor team members, drive technical strategy, and champion the adoption of cutting-edge MLOps practices within the organization. This role is perfect for an innovative individual passionate about making AI solutions production-ready and impactful.
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Data Science Apprentice

110001 Delhi, Delhi ₹40000 Monthly WhatJobs

Posted 25 days ago

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intern
Join our innovative and fully remote team as a Data Science Apprentice! This is an exceptional opportunity for motivated individuals passionate about data to kickstart their career in data science under the guidance of experienced professionals. You will be immersed in real-world data challenges, contributing to impactful projects and gaining hands-on experience in data analysis, machine learning, and data visualization. This apprenticeship is designed to provide comprehensive training and mentorship, fostering rapid skill development.

As a Data Science Apprentice, your responsibilities will include assisting senior data scientists in data collection, cleaning, and preprocessing. You will help in exploring datasets to identify patterns and insights using various statistical techniques. You will also support the development and testing of machine learning models under supervision. This role involves working with large datasets and utilizing programming languages like Python or R, along with relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).

You will gain exposure to data visualization tools and techniques to communicate findings effectively. The apprenticeship includes learning about experimental design, model evaluation, and deployment strategies. A strong analytical mindset, a curious nature, and a willingness to learn are paramount. You will participate in team meetings, contribute to project discussions, and present your findings to the team.

This is a fully remote apprenticeship, allowing you to work comfortably from your chosen location. We are looking for candidates who are eager to learn, possess strong problem-solving skills, and have a foundational understanding of statistics and programming. This program offers a clear pathway to potential full-time opportunities for high-performing apprentices. This is an ideal role for recent graduates or individuals looking to transition into the data science field.

Key Responsibilities:
  • Assist in data cleaning, preprocessing, and feature engineering.
  • Perform exploratory data analysis to uncover trends and insights.
  • Support the development and testing of machine learning models.
  • Utilize Python or R for data analysis and model building.
  • Create data visualizations to communicate findings.
  • Collaborate with senior data scientists on project tasks.
  • Learn and apply data science methodologies and tools.
  • Participate in code reviews and team discussions.
  • Document analysis and model development processes.
Qualifications:
  • Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Engineering) or equivalent practical experience.
  • Basic understanding of statistics, probability, and linear algebra.
  • Familiarity with programming concepts, preferably in Python or R.
  • Enthusiasm for data science and machine learning.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.
  • Eagerness to learn and adapt in a remote environment.
  • Previous exposure to data analysis tools or projects is a plus.
This apprenticeship program is based remotely, with the team oversight linked to Delhi, Delhi, IN .
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