What Jobs are available for Machine Learning in Delhi?
Showing 47 Machine Learning jobs in Delhi
Machine Learning Engineer
Posted 8 days ago
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AI & Machine Learning Lead
Posted 2 days ago
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Senior Machine Learning Engineer
Posted 2 days ago
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Senior Machine Learning Engineer
Posted 17 days ago
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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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Senior Machine Learning Engineer
Posted 21 days ago
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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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AI Research Scientist - Machine Learning
Posted today
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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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Lead Machine Learning Engineer - NLP
Posted 2 days ago
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- 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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AI Research Scientist - Machine Learning
Posted 3 days ago
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Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of research and development experience in AI/ML, with a strong publication record.
- Proven expertise in at least one of the following areas: deep learning, NLP, computer vision, reinforcement learning, or related fields.
- Proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Keras.
- Experience with data analysis, statistical modeling, and algorithm development.
- Strong understanding of linear algebra, calculus, and probability.
- Excellent problem-solving, analytical, and critical thinking skills.
- Ability to work independently and collaboratively in a remote-first environment.
- Experience with MLOps and deploying ML models is a significant plus.
- Strong communication and presentation skills.
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Senior Data Scientist - Machine Learning
Posted 11 days ago
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Qualifications:
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 5 years of experience in data science and machine learning.
- Proficiency in Python or R, including extensive experience with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, Keras).
- Strong understanding of various ML algorithms (e.g., regression, classification, clustering, deep learning).
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Excellent data visualization and communication skills.
- Proven ability to work independently and manage projects in a remote setting.
- Strong problem-solving and analytical capabilities.
- Experience with MLOps practices is a plus.
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Senior Data Scientist - Machine Learning
Posted 11 days ago
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Job Description
Responsibilities:
- Design, develop, and implement advanced machine learning models and algorithms for predictive analysis, classification, clustering, and natural language processing.
- Collaborate with cross-functional teams, including product managers, engineers, and business analysts, to identify opportunities for ML-driven solutions.
- Clean, process, and transform large datasets to prepare them for modeling.
- Evaluate and optimize model performance, ensuring accuracy, scalability, and efficiency.
- Deploy machine learning models into production environments and monitor their performance.
- Conduct exploratory data analysis to uncover insights and inform business strategy.
- Stay abreast of the latest research and advancements in machine learning and artificial intelligence.
- Develop and maintain documentation for models, processes, and findings.
- Mentor junior data scientists and contribute to the team's technical growth.
- Present complex findings and recommendations to both technical and non-technical stakeholders.
Qualifications:
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of professional experience in data science, with a strong focus on machine learning.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Keras).
- Solid understanding of statistical concepts and various ML algorithms (e.g., regression, SVM, random forests, neural networks).
- Experience with big data technologies (e.g., Spark, Hadoop) and database management (SQL).
- Experience in cloud platforms (AWS, Azure, GCP) for data science workloads.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to explain technical concepts clearly.
- Proven ability to work independently and manage projects in a remote setting.
- Experience with A/B testing and experimental design is a plus.
This position is based in Delhi, Delhi, IN but is a fully remote opportunity. We offer a competitive compensation package, including stock options, and a collaborative, innovative work environment.
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