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Sr. AI / ML Developer

SATMAT TECHNOLOGIESthane, India

8 hours ago

Job description

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.

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