Data Scientist (LLM)

Location

Pune | India

Job description

Job ID: 184733  
Required Travel : Minimal  
Managerial - No  
Location: :India- Pune (Amdocs Site) 

Who are we?

Amdocs helps those who build the future to make it amazing. With our market-leading portfolio of software products and services, we unlock our customers’ innovative potential, empowering them to provide next-generation communication and media experiences for both the individual end user and enterprise customers. Our approximately 30,000 employees around the globe are here to accelerate service providers’ migration to the cloud, enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQ Global Select Market, Amdocs had revenue of $4.89 billion in fiscal 2023.

In one sentence

This is a hands-on position for a motivated and talented innovator. The Data Scientist performs data mining and develops algorithms that provide insight from data.

What will your job look like?

As an Data Scientist at Amdocs you will play a pivotal role in bridging the gap between data science and production operations. You will be responsible for developing, deploying, and maintaining machine learning models in a production environment, ensuring scalability, reliability, and performance. Your work will be instrumental in turning data-driven insights into actionable solutions that drive business success.

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 into Azure 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.

All you need is...

Qualifications:
Bachelor's or master’s degree in computer science, Data Science, or a related field.
Proven experience (4+ years) in machine learning operations, end to end data science pipeline.
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.
Requirements:
• Experience:
Proven experience of 4+ years as a data scientist, machine learning engineer, or similar role.
Experience deploying machine learning models in production environments.
• Technical Skills:
o Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
o Strong programming skills in Python and experience with relevant libraries.
o Knowledge of version control systems (e.g., Git).
o Experience with MLOps tools and platforms, such as MLflow, Kubeflow, or Apache Airflow.
• 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.
o Understanding of cloud computing platforms like Databricks, AWS, Azure, or Google Cloud.

• Soft Skills:
o Strong problem-solving and analytical skills.
o Excellent communication and teamwork abilities.
o Adaptability to a dynamic and fast-paced environment.
o Attention to detail and a commitment to quality.
o Certifications in relevant areas (e.g., AWS Certified Machine Learning Specialty).

 

Why you will love this job:

• You will ensure timely resolution or critical issue within the agreed SLA. This includes creating a positive customer support experience and build strong relationships through problem understanding, presenting promptly on progress, and handling customers with a professional demeanour.
• You will be able to demonstrates an understanding of key business drivers and ensures strategic directions are followed and the organization succeeds
• We are a dynamic, multi-cultural organization that constantly innovates and empowers our employees to grow. Our people our passionate, daring, and phenomenal teammates that stand by each other with a dedication to creating a diverse, inclusive workplace!
• We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave!

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Salary