Sr. AI/ML Developer

Job Description

Skills: Python, TensorFlow, PyTorch, Natural Language Processing (NLP), Computer Vision, AWS SageMaker, Machine Learning Model Deployment, Scikit-learn, 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.