On-Site
Full-Time
Thane, Maharashtra
India
Skills
Python (Programming Language)
PyTorch
TensorFlow
AWS SageMaker
Natural Language Processing (NLP)
Computer Vision
Machine Learning
Scikit-Learn
About the Role
Job Description: Sr. AI/ML Developer
Experience: 8-10 Years
Location: Thane / Vikhroli, Mumbai
About the Role:
We are seeking an experienced AI/ML Developer with 8-10 years of hands-on experience in building and deploying machine learning models at scale. The ideal candidate will have a strong background in Python, PySpark, Hadoop, and Hive, along with a deep understanding of machine learning model building, analysis, and optimization. As part of our innovative AI/ML team, you will contribute to cutting-edge projects and collaborate with cross-functional teams to deliver impactful solutions.
Key Responsibilities:
Model Development: Design, build, and deploy machine learning models, utilizing advanced techniques to ensure optimal performance.
Data Processing: Work with large-scale data processing frameworks such as PySpark and Hadoop to efficiently handle big data.
Model Analysis and Optimization: Analyze model performance and fine-tune models to improve accuracy, scalability, and speed.
Collaboration: Work closely with data scientists, analysts, and engineers to understand business requirements and integrate AI/ML solutions.
Version Control: Utilize Git for version control to ensure proper management and documentation of model code and workflows.
Project Management: Participate in sprint planning, track progress, and report on key milestones using JIRA.
Notebook Workflows: Use Jupyter/Notebook for interactive development and presentation of model outputs, insights, and results.
TensorFlow: Implement and deploy deep learning models using TensorFlow, optimizing them for real-world applications.
Key Skills:
Programming: Strong proficiency in Python, with experience in data manipulation and libraries like NumPy, Pandas, and SciPy.
Big Data Technologies: Hands-on experience with PySpark, Hadoop, and Hive for managing large datasets.
Model Development: Expertise in machine learning model building, training, validation, and deployment using frameworks like TensorFlow, Scikit-learn, etc.
Deep Learning: Familiarity with TensorFlow for building and optimizing deep learning models.
Version Control and Collaboration: Proficiency in Git for source control and JIRA for project tracking.
Problem-Solving: Strong analytical skills to troubleshoot, debug, and optimize models and workflows.
Experience and Qualifications:
Experience: 8-10 years in AI/ML development with significant exposure to machine learning and deep learning techniques.
Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
Knowledge: Deep understanding of AI/ML algorithms, model evaluation techniques, and data manipulation.
Preferred Qualifications:
Hands-on experience with cloud platforms like AWS, GCP, or Azure.
Familiarity with containerization tools like Docker and Kubernetes.
Experience in deploying models into production environments.
Experience: 8-10 Years
Location: Thane / Vikhroli, Mumbai
About the Role:
We are seeking an experienced AI/ML Developer with 8-10 years of hands-on experience in building and deploying machine learning models at scale. The ideal candidate will have a strong background in Python, PySpark, Hadoop, and Hive, along with a deep understanding of machine learning model building, analysis, and optimization. As part of our innovative AI/ML team, you will contribute to cutting-edge projects and collaborate with cross-functional teams to deliver impactful solutions.
Key Responsibilities:
Model Development: Design, build, and deploy machine learning models, utilizing advanced techniques to ensure optimal performance.
Data Processing: Work with large-scale data processing frameworks such as PySpark and Hadoop to efficiently handle big data.
Model Analysis and Optimization: Analyze model performance and fine-tune models to improve accuracy, scalability, and speed.
Collaboration: Work closely with data scientists, analysts, and engineers to understand business requirements and integrate AI/ML solutions.
Version Control: Utilize Git for version control to ensure proper management and documentation of model code and workflows.
Project Management: Participate in sprint planning, track progress, and report on key milestones using JIRA.
Notebook Workflows: Use Jupyter/Notebook for interactive development and presentation of model outputs, insights, and results.
TensorFlow: Implement and deploy deep learning models using TensorFlow, optimizing them for real-world applications.
Key Skills:
Programming: Strong proficiency in Python, with experience in data manipulation and libraries like NumPy, Pandas, and SciPy.
Big Data Technologies: Hands-on experience with PySpark, Hadoop, and Hive for managing large datasets.
Model Development: Expertise in machine learning model building, training, validation, and deployment using frameworks like TensorFlow, Scikit-learn, etc.
Deep Learning: Familiarity with TensorFlow for building and optimizing deep learning models.
Version Control and Collaboration: Proficiency in Git for source control and JIRA for project tracking.
Problem-Solving: Strong analytical skills to troubleshoot, debug, and optimize models and workflows.
Experience and Qualifications:
Experience: 8-10 years in AI/ML development with significant exposure to machine learning and deep learning techniques.
Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
Knowledge: Deep understanding of AI/ML algorithms, model evaluation techniques, and data manipulation.
Preferred Qualifications:
Hands-on experience with cloud platforms like AWS, GCP, or Azure.
Familiarity with containerization tools like Docker and Kubernetes.
Experience in deploying models into production environments.