2,558 Ml Engineer jobs in India
Senior AI/ML Engineer - Deep Learning
Posted 5 days ago
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Job Description
Responsibilities:
- Design, build, and train deep learning models for various applications (e.g., computer vision, natural language processing, predictive analytics).
- Develop and implement scalable machine learning pipelines using Python and relevant frameworks (TensorFlow, PyTorch, Keras).
- Collaborate with data scientists, software engineers, and product managers to define project requirements and deliver AI-powered solutions.
- Conduct thorough data analysis, feature engineering, and model evaluation.
- Deploy trained models into production environments and monitor their performance.
- Research and stay up-to-date with the latest advancements in AI, machine learning, and deep learning.
- Optimize model performance for accuracy, efficiency, and scalability.
- Contribute to the development of AI/ML best practices and MLOps strategies.
- Mentor junior engineers and share knowledge within the team.
- Document model architectures, algorithms, and experimental results.
- Identify opportunities to leverage AI/ML to drive business value and innovation.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of experience in AI/ML engineering, with a strong focus on deep learning.
- Proven experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in Python and strong software engineering skills.
- Experience with cloud platforms (AWS, Azure, GCP) and ML services.
- Solid understanding of machine learning algorithms, statistical modeling, and data mining techniques.
- Experience with data preprocessing, feature selection, and model evaluation.
- Familiarity with MLOps principles and tools for model deployment and monitoring.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, able to articulate complex technical concepts clearly.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
AI/ML Engineer - Deep Learning Specialist
Posted 7 days ago
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Job Description
Senior AI/ML Engineer - Deep Learning
Posted 7 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design, develop, train, and deploy advanced deep learning models for various applications, including computer vision, natural language processing, and predictive analytics.
- Conduct research on state-of-the-art AI and ML techniques, identifying opportunities for implementation and innovation.
- Develop and maintain robust machine learning pipelines for data processing, feature engineering, model training, and evaluation.
- Utilize deep learning frameworks such as TensorFlow, PyTorch, and Keras to build and optimize models.
- Work with large datasets, ensuring data quality, integrity, and efficient processing.
- Collaborate with software engineers and product managers to integrate AI/ML solutions into production systems.
- Evaluate model performance, identify areas for improvement, and implement optimization strategies.
- Stay current with the latest research papers, industry trends, and emerging technologies in AI/ML.
- Mentor junior engineers and contribute to the team's technical growth and knowledge sharing.
- Document technical designs, methodologies, and experimental results comprehensively.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
- Minimum of 5-7 years of progressive experience in AI/ML engineering, with a strong emphasis on deep learning.
- Proven track record of developing and deploying deep learning models in real-world applications.
- Expertise in deep learning architectures (e.g., CNNs, RNNs, Transformers) and their applications.
- Proficiency in programming languages such as Python and experience with ML libraries/frameworks (TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of machine learning principles, algorithms, and statistical modeling.
- Experience with data processing, feature engineering, and model evaluation techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts clearly.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps is a plus.
Remote AI/ML Engineer - Deep Learning
Posted 7 days ago
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Job Description
Senior AI/ML Engineer - Deep Learning
Posted 9 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design, implement, and optimize deep learning models for tasks such as computer vision, natural language processing, and predictive analytics.
- Conduct research and development to explore new AI algorithms and techniques.
- Develop robust and scalable machine learning pipelines for data preprocessing, model training, and deployment.
- Collaborate with data scientists and software engineers to integrate AI models into product offerings.
- Evaluate model performance, identify areas for improvement, and implement enhancements.
- Stay current with the latest advancements in AI, machine learning, and deep learning research.
- Contribute to the technical roadmap and strategy for AI initiatives.
- Mentor junior engineers and share knowledge within the team.
- Document research findings, model architectures, and deployment procedures.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of experience in developing and deploying machine learning and deep learning models in a production environment.
- Proficiency in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong understanding of machine learning algorithms, statistical modeling, and data mining techniques.
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies.
- Excellent problem-solving skills and the ability to tackle complex technical challenges.
- Strong communication and teamwork skills, with the ability to explain technical concepts to non-technical audiences.
- Proven track record of contributing to significant AI/ML projects.
AI/ML Engineer - Deep Learning Specialist
Posted 12 days ago
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Job Description
Key responsibilities involve staying abreast of the latest advancements in AI and deep learning research, translating research findings into practical applications, and collaborating closely with software engineers and data scientists. You will be expected to experiment with various neural network architectures (e.g., CNNs, RNNs, Transformers), optimize model performance for efficiency and accuracy, and implement robust ML pipelines. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices for deploying and managing models in production environments is highly desirable. The ideal candidate will possess strong programming skills (Python preferred), a solid understanding of linear algebra, calculus, and probability, and demonstrable experience with deep learning libraries such as TensorFlow or PyTorch. Excellent problem-solving abilities, a passion for innovation, and strong communication skills are essential for this dynamic role. This hybrid position offers the opportunity to collaborate in person while also benefiting from remote flexibility.
Responsibilities:
- Design, develop, and implement deep learning models.
- Work with large datasets for training and validation.
- Conduct research on cutting-edge AI/ML techniques and algorithms.
- Optimize model performance and efficiency for production deployment.
- Collaborate with cross-functional teams to integrate AI solutions.
- Implement and maintain machine learning pipelines and MLOps practices.
- Evaluate and benchmark model performance using various metrics.
- Stay current with industry trends and advancements in AI and deep learning.
- Contribute to technical documentation and knowledge sharing.
- Troubleshoot and resolve issues related to AI model development and deployment.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 4 years of hands-on experience in developing and deploying deep learning models.
- Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).
- Strong understanding of machine learning algorithms, neural networks, and statistical modeling.
- Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- Familiarity with MLOps principles and tools.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and teamwork abilities.
Senior AI/ML Engineer - Deep Learning
Posted 12 days ago
Job Viewed
Job Description
- Designing, developing, and deploying deep learning models.
- Conducting research and staying up-to-date with the latest advancements in AI/ML.
- Collaborating with cross-functional teams on AI projects.
- Data preprocessing, feature engineering, and model evaluation.
- Optimizing machine learning algorithms for performance and scalability.
- Developing and implementing AI solutions for various applications.
- Writing clean, efficient, and well-documented code.
- Contributing to the overall AI strategy and roadmap.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
- Proven experience in Deep Learning and Machine Learning development.
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
- Strong understanding of algorithms, data structures, and software engineering best practices.
- Excellent analytical and problem-solving skills.
- Strong communication and teamwork abilities.
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Senior AI/ML Engineer (Deep Learning)
Posted 12 days ago
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Job Description
Responsibilities:
- Design, develop, and implement deep learning models and algorithms.
- Process and analyze large, complex datasets for machine learning applications.
- Train, evaluate, and optimize deep learning models for performance and accuracy.
- Deploy machine learning models into production environments.
- Collaborate with cross-functional teams to identify AI/ML opportunities and solutions.
- Research and stay current with the latest advancements in AI, machine learning, and deep learning.
- Develop and maintain robust ML pipelines and infrastructure.
- Write clean, efficient, and well-documented code in Python.
- Contribute to the development of AI strategies and roadmaps.
- Mentor junior engineers and share expertise within the team.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of professional experience in AI/ML engineering, with a strong focus on deep learning.
- Proven expertise in deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).
- Strong programming skills in Python and experience with relevant libraries (e.g., NumPy, Pandas, Scikit-learn).
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Solid understanding of machine learning algorithms and statistical modeling.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration abilities, especially in a remote setting.
Lead AI/ML Engineer - Deep Learning
Posted 12 days ago
Job Viewed
Job Description
Key Responsibilities:
- Lead the design, development, and implementation of deep learning models and algorithms.
- Conduct research to identify and evaluate new AI/ML techniques and technologies.
- Develop and train state-of-the-art neural network architectures for various applications.
- Optimize machine learning models for performance, scalability, and efficiency.
- Collaborate with data scientists and software engineers to deploy AI models into production environments.
- Mentor and guide junior AI/ML engineers, fostering a culture of technical excellence.
- Define technical roadmaps and architectural decisions for AI initiatives.
- Stay abreast of the latest advancements in AI, machine learning, and deep learning research.
- Present research findings and project outcomes to technical and non-technical stakeholders.
- Ensure the ethical and responsible development and deployment of AI systems.
- Contribute to the overall strategy and vision for AI/ML within the organization.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of hands-on experience in developing and deploying deep learning models.
- Proficiency in programming languages such as Python, and deep learning frameworks like TensorFlow, PyTorch, or Keras.
- Strong understanding of various neural network architectures (CNNs, RNNs, Transformers, etc.) and their applications.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong leadership and team management capabilities.
- Excellent communication and presentation skills, with the ability to explain complex technical concepts clearly.
- Experience with big data technologies and distributed computing is a plus.
- Published research in reputable AI/ML conferences or journals is highly desirable.
This is an exceptional opportunity to drive innovation in AI and shape the future of intelligent systems within a forward-thinking company.
AI/ML Engineer - Deep Learning Specialist
Posted 14 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design, develop, and implement deep learning models for various AI applications.
- Perform data preprocessing, feature engineering, and model selection.
- Train, evaluate, and fine-tune deep learning models using frameworks like TensorFlow and PyTorch.
- Develop and deploy AI/ML solutions on cloud platforms (AWS, Azure, GCP).
- Collaborate with cross-functional teams to integrate AI models into products and services.
- Conduct research on state-of-the-art deep learning techniques and algorithms.
- Analyze model performance, identify bottlenecks, and implement optimizations.
- Contribute to the development of AI/ML infrastructure and tools.
- Document model architectures, training procedures, and deployment processes.
- Stay updated with the latest advancements in AI and machine learning.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 4 years of hands-on experience in developing and deploying deep learning models.
- Proficiency in programming languages such as Python.
- Extensive experience with deep learning frameworks (TensorFlow, PyTorch, Keras).
- Strong understanding of machine learning algorithms, statistics, and data mining techniques.
- Experience with computer vision or natural language processing is a plus.
- Familiarity with cloud computing platforms (AWS, Azure, GCP).
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
Machine Learning (ML) Engineer positions are in demand, reflecting the increasing integration of