Location
Pune | India
Job description
We are Hiring at Amdocs!!!
Please find the JD below for the role for Data Scientist :-
Responsibilities:
- Customer and Team Communication: Act as a key point of contact for customer interactions, translating technical requirements into actionable plans and ensuring customer satisfaction. Collaborate effectively with cross-functional teams, including data scientists, software engineers, and DevOps professionals, to seamlessly integrate machine learning models into Azure-based production applications.
- Model Deployment: Oversee the deployment of machine learning models intoAzure or Aws based production environments, ensuring scalability, reliability, and performance.
- Automation: Design and implement automated pipelines for model training, testing, and deployment.
- Monitoring and Maintenance: Establish robust monitoring and alerting systems to proactively identify and address model performance issues. Manage model retraining and updates.
- Security and Compliance: Ensure all MLOps processes adhere to security and compliance.
- Collaboration: Collaborate closely with cross-functional teams, including data scientists and software engineers, to seamlessly integrate machine learning models into Azure-based production applications.
Skills:
- Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Proven experience (4+ years) in machine learning operations, end to end data science pipeline.
- Strong programming skills in Python and experience with relevant libraries.
- Knowledge of version control systems (e.g., Git).
- Experience with MLOps tools and platforms, such as MLflow, Kubeflow, or Apache Airflow.
- Experience in Gen AI is preferable.
- Proficiency in Python and scripting for automation, with a deep understanding of MLflow for tracking and managing machine learning experiments.
- Hands-on experience with cloud platforms, particularly Azure, and containerization technologies.
- Strong problem-solving skills and the ability to collaborate effectively in a team environment.
- Exceptional communication skills to convey complex technical concepts to non-technical stakeholders.
- Relevant certifications such as Microsoft Certified: Azure AI Engineer Associate or Azure Data Engineer Associate are a plus.
- Experience in understanding and working with Open Ai peripherals like , Langchain, PEFT, Reinforcement Learning from human feedback(RLHF), Proximal Policy Optimization, Program Aided Large Language Models, Parameter efficient fine-tuning(PEFT), Reasoning and Acting(ReAct) Prompting, Rouge, BLEU score etc.
- Understanding of cloud computing platforms like Databricks, AWS, Azure, or Google Cloud.
Qualifications:
- Previous experience with continuous integration/continuous deployment (CI/CD) pipelines.
- Knowledge of DevOps practices and tools.
- Understanding of data engineering and ETL processes.
- Certifications in relevant areas (e.g., AWS Certified Machine Learning Specialty).
Education:
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
Job tags
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