Job details
Work Location
Amsterdam
State / Region / Province
Noord-Holland
Country
Netherlands
Domain
Delivery
Interest Group
Infosys Limited
Skills
Technology|Data Science|Machine Learning
Company
ITL Netherlands
Requisition ID
134725BR
Job description
Role – Senior Lead Analyst- Data Science
Technology – ML/ AI
Location – Amsterdam, NL
Compensation – Competitive (including bonus)
We are looking for smart, self-driven, high-energy people with top notch communication skills, intellectual curiosity and passion for technology in the Machine Learning Space. Our analysts have a blend of in-depth domain expertise in one or more areas (Retail, CPG, Logistics, Manufacturing, Life Sciences, Finance and Insurance), strong business and technical acumen along with excellent soft skills.
What do we require?
To work with clients to understand the issues they face, diagnose problems, design solutions and facilitate solution deployment on the cloud. You can be an individual contributor or lead small teams depending on the project. You will be pivotal to understanding the requirement, problem definition and discovery of the overall solution. You will also have the opportunity to shape value-adding consulting solutions for clients by connecting various functions of cloud components.
Industry knowledge - Knows advanced concepts of machine learning, has deployed ML/AI solutions in the cloud, has a deep understanding of coding practices, knows how to guide teams on debugging issues, can connect the dots to arrive at a solution and is very good at presentation of the ideas, thoughts and solutions.
Technical knowledge- has expertise in building and deploying AI solutions in the cloud with hands on coding experience in –
•Python Programming - Expert and Experienced - 8 to 10 years
•MLE/MLOps/LLMOps - Experienced - 5 years
•DevOps Working knowledge with implementation experience - 1 or 2 projects a minimum
•Hands-On MS Azure/AWS/GCP Cloud knowledge
•Experience in development of Information extraction pipelines.
•MLOps (model/component dockerization, Kubernetes deployment) in multiple environments (AWS, AZURE, GCP). Operationalization of ML solutions to production.
•Experience in Microservices development, API backend development using FastAPI
•Relational DB (SQL), Graph DB (Neo4j) and Vector DB (Pinecone, Weviate, Qdrant)
•Guide team to debug issues with pipeline failures
•Engage with Business / Stakeholders with status update on progress of development and issue fix
•Automation, Technology and Process Improvement for the deployed projects
•Setup Standards related to Coding, Pipelines and Documentation
•Adhere to KPI / SLA for Pipeline Run, Execution
•Research on new topics, services and enhancements in Cloud Technologies
Responsible for successful delivery of Machine Learning solutions and ML Ops services in client consulting environments;
Define key business problems to be solved; formulate high level solution approaches and identify data to solve those problems, develop, analyze/draw conclusions and present to client.
Assist clients with operationalization metrics to track performance of ML Models
Agile trained to manage team effort and track through JIRA
High Impact Communication- Assesses the target audience need, prepares and practices a logical flow, answers audience questions appropriately and sticks to timeline.
Education and Experience:
•Master’s degree in Computer Science Engineering or other related fields, with relevant experience in the field of MLOps / AI / Cloud
•Domain experience in Retail, CPG, Logistics, Manufacturing, Life Sciences, Finance or Insurance
•Exposure to US or European overseas markets is preferred
Domain / Technical / Tools Knowledge:
•Object oriented programming, coding standards, architecture & design patterns, Config management, Package Management, Logging, documentation
•Proficiency with data analysis tools (e.g., SQL, R & Python), database concepts/reporting & Data Science concepts
•Microservices development, API backend development using FastAPI
•MLOps (model/component dockerization, Kubernetes deployment) in multiple environments (AWS, AZURE, GCP). Operationalization of AI solutions to production.
•Relational DB (SQL), Graph DB (Neo4j) and Vector DB (Pinecone, Weviate, Qdrant)
•Experience designing and implementing ML Systems & pipelines, MLOps practices
•Exposure to event driven orchestration, Online Model deployment
•Hands on experience in working with client IT/Business teams in gathering business requirement and converting into requirement for development team
•Experience in managing client relationship and developing business cases for opportunities
We are looking proactive and customer focused individual who has a great affinity towards various process innovations. The candidate will also play a significant role in refining our ML and MLOps services. The candidates should have prior relevant work experience, excel in ambiguous situations, and possess a passion for helping companies become more competitive. We value intellectual curiosity, initiative and entrepreneurial drive! Candidates must be open to domestic and international travel as per requirements.
Overview
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation.
With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.