Posted on 
Jan 23, 2024

IN - Data Analytics Engineer - Gen AI

Mid-Senior ICs
Data Science + Analytics, Engineering
Sourced Group
Sourced Group
Sourced Group
Private
251-1000
Software, Security & Developer Tools

Sourced is a global cloud consultancy that helps enterprises make the most of cloud services with a focus on security, governance and compliance. With offices around the globe, we provide professional services for securing, migrating and managing the cloud infrastructure of large enterprise customers. We specialize in configuration management, automation, cloud computing, security and data management for a wide range of industries, including financial services, media, and telecommunications companies.

Job Description

This position a critical role our Global Delivery Centre based out of the Amdocs Pune office. This role sits in the Cloud Business Unit of Amdocs and is pivotal to driving delivery for our customers across the globe. This role will provide data governance and engineering support in various data analytics projects within enterprise highly regulated client environments. This role will assist the leadership in both analysing and formulating the business problems as well as identifying and developing the end-to-end analytics solution. The right candidate will be one excited by opportunities to apply advanced analytics techniques to help our clients get insights from their data using public cloud.

Are you a Cloud Data Analytics Engineer who loves to provide data analytics strategies, build data models, and design cloud-based data solutions? If yes, then we have an exciting opportunity for you! Join our team and work on challenging and impactful projects that leverage cutting-edge technologies and data-driven insights. You will have the chance to collaborate with talented and passionate professionals from diverse backgrounds and domains. You will also enjoy a supportive and hybrid work environment that fosters your growth and development.

Please note that this role will be based in Pune.

Graduates and Interns will not be considered for this role.

What you’ll be responsible for

------------------------------

  • Developing, testing and refining AI-generated text prompts
  • Collaborating with content, product and data teams to align prompts with company goals and user needs
  • Continuously improving prompt quality, performance and the overall AI prompt generation process
  • Collaborating with data scientists and machine learning engineers to develop and improve AI models
  • Conducting research on natural language processing and machine learning techniques to enhance prompt generation
  • Analyzing user feedback and data to identify areas for improvement in prompt quality and performance
  • Developing and maintaining documentation for prompt generation processes and best practices
  • Staying up-to-date with the latest advancements in AI and natural language processing, and how these might be applied with our customers on various use cases.
  • Design and deliver cutting-edge AI systems to solve some of our clients’ most challenging business problems
  • Deliver production-grade, mature AI/ML solutions for our clients at scale, built with automated, repeatable processes
  • Take ownership of and drive key architecture decisions around the AI/ML lifecycle (build, test, deploy, and monitor)
  • Utilize best-of-breed practices, tools, and cloud solutions

What you will bring to the role.

--------------------------------

  • More than 3 years of professional experience with cloud technologies (AWS, GCP, Azure)
  • Proven work experience as a Prompt Engineer or similar role
  • Strong verbal and written communication skills
  • Proficient in programming languages, AI-related tools such as ChatGPT, and data analysis techniques
  • Comprehensive understanding of natural language processing, machine learning and AI-generated content development
  • Relevant training and/or certifications in computer science, AI or a related field
  • Experience using large language models, Langchain, vector databases, and cloud AI services to architect AI solutions (AWS SageMaker, GCP AI Platform, Azure ML)
  • Expertise in prompt engineering, agentic frameworks, and retrieval augmented generation
  • Relevant work experience in software development using Python
  • Experience with open-source modeling frameworks (ex. TensorFlow, Keras, PyTorch, Scikit-learn)
  • Experience collaborating with cross-functional teams including data engineers and data scientists to deliver end-to-end solutions
  • Contributions to open-source projects

This position a critical role our Global Delivery Centre based out of the Amdocs Pune office. This role sits in the Cloud Business Unit of Amdocs and is pivotal to driving delivery for our customers across the globe. This role will provide data governance and engineering support in various data analytics projects within enterprise highly regulated client environments. This role will assist the leadership in both analysing and formulating the business problems as well as identifying and developing the end-to-end analytics solution. The right candidate will be one excited by opportunities to apply advanced analytics techniques to help our clients get insights from their data using public cloud.

Are you a Cloud Data Analytics Engineer who loves to provide data analytics strategies, build data models, and design cloud-based data solutions? If yes, then we have an exciting opportunity for you! Join our team and work on challenging and impactful projects that leverage cutting-edge technologies and data-driven insights. You will have the chance to collaborate with talented and passionate professionals from diverse backgrounds and domains. You will also enjoy a supportive and hybrid work environment that fosters your growth and development.

Please note that this role will be based in Pune.

Graduates and Interns will not be considered for this role. 

What you’ll be responsible for 

  • Developing, testing and refining AI-generated text prompts
  • Collaborating with content, product and data teams to align prompts with company goals and user needs
  • Continuously improving prompt quality, performance and the overall AI prompt generation process
  • Collaborating with data scientists and machine learning engineers to develop and improve AI models
  • Conducting research on natural language processing and machine learning techniques to enhance prompt generation
  • Analyzing user feedback and data to identify areas for improvement in prompt quality and performance
  • Developing and maintaining documentation for prompt generation processes and best practices
  • Staying up-to-date with the latest advancements in AI and natural language processing, and how these might be applied with our customers on various use cases.
  • Design and deliver cutting-edge AI systems to solve some of our clients’ most challenging business problems
  • Deliver production-grade, mature AI/ML solutions for our clients at scale, built with automated, repeatable processes
  • Take ownership of and drive key architecture decisions around the AI/ML lifecycle (build, test, deploy, and monitor)
  • Utilize best-of-breed practices, tools, and cloud solutions

What you will bring to the role.

  • More than 3 years of professional experience with cloud technologies (AWS, GCP, Azure)  
  • Proven work experience as a Prompt Engineer or similar role 
  • Strong verbal and written communication skills 
  • Proficient in programming languages, AI-related tools such as ChatGPT, and data analysis techniques 
  • Comprehensive understanding of natural language processing, machine learning and AI-generated content development 
  • Relevant training and/or certifications in computer science, AI or a related field 
  • Experience using large language models, Langchain, vector databases, and cloud AI services to architect AI solutions (AWS SageMaker, GCP AI Platform, Azure ML) 
  • Expertise in prompt engineering, agentic frameworks, and retrieval augmented generation 
  • Relevant work experience in software development using Python 
  • Experience with open-source modeling frameworks (ex. TensorFlow, Keras, PyTorch, Scikit-learn) 
  • Experience collaborating with cross-functional teams including data engineers and data scientists to deliver end-to-end solutions 
  • Contributions to open-source projects 
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Data Science + Analytics
Data Science + Analytics
Engineering
Engineering
Hybrid
Hybrid