דרושים מהנדס ענן ב-Ey ב-India, Bengaluru

Role Overview:

We are seeking a highly skilled and experiencedwith a minimum of 4 years of experience in Data Science and Machine Learning, with a strong focus on NLP, Generative AI, LLMs, MLOps, Optimization techniques, and Agentic AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI Agents, workflows and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.

Key Responsibilities:

• Design and implement state-of-the-art Agentic AI solutions tailored for the financial and accounting industry.
• Develop and implement AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI to solve industry-specific challenges.
• Collaborate with stakeholders to identify business opportunities and define AI project goals within the financial and accounting sectors.
• Stay updated with the latest advancements in generative AI techniques, such as LLMs, Agents and evaluate their potential applications in financial and accounting contexts.
• Utilize generative AI techniques, such as LLMs and Agentic Framework, to develop innovative solutions for financial and accounting use cases.
• Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
• Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
• Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
• Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
• Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
• Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for financial and accounting use cases.
• Ensure compliance with data privacy, security, and ethical considerations in AI applications.
• Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.

Qualifications & Skills:

• Education – Bachelor’s/Master’s in Computer Science, Engineering, or related field (Ph.D. preferred).
• Experience – 4+ years in Data Science/Machine Learning with proven end-to-end project delivery.
• Technical Expertise – Strong in ML, deep learning, generative AI, RAG, and agentic AI design patterns.
• Programming Skills – Proficient in Python (plus R), with hands-on experience in TensorFlow, PyTorch, and modern ML/data stacks.
• GenAI Frameworks – Experience with LangChain, LangGraph, Crew, and other agentic AI frameworks.
• Cloud & Infrastructure – Skilled in AWS/Azure/GCP, containerization (Docker, Kubernetes), automation (CI/CD), and data/ML pipelines.
• Data Engineering – Expertise in data curation, preprocessing, feature engineering, and handling large-scale datasets.
• AI Governance – Knowledge of responsible AI, including fairness, transparency, privacy, and security.
• Collaboration & Communication – Strong cross-functional leadership with ability to align technical work to business goals and communicate insights clearly.
• Innovation & Thought Leadership – Track record of driving innovation, staying updated with latest AI/LLM advancements, and advocating best practices.

Good to Have Skills:

• Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models.
• Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
• Deep knowledge of classical AIML (regression, classification, time series, clustering).
• Drive DevOps and MLOps practices, covering CI/CD and monitoring of AI models.
• Implement CI/CD pipelines for streamlined model deployment and scaling processes.
• Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
• Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
• Implement monitoring and logging tools to ensure AI model performance and reliability.
• Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
• Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.

Your key responsibilities

• Have proven experience in driving Analytics GTM/Pre-Sales by collaborating with senior stakeholder/s in the client and partner organization in BCM, WAM, Insurance. Activities will include pipeline building, RFP responses, creating new solutions and offerings, conducting workshops as well as managing in flight projects focused on cloud and big data.
• Need to work with client in converting business problems/challenges to technical solutions considering security, performance, scalability etc. [ 10- 15 years]
• Need to understand current & Future state enterprise architecture.
• Need to contribute in various technical streams during implementation of the project.
• Provide product and design level technical best practices
• Interact with senior client technology leaders, understand their business goals, create, architect, propose, develop and deliver technology solutions
• Define and develop client specific best practices around data management within a Hadoop environment or cloud environment
• Recommend design alternatives for data ingestion, processing and provisioning layers
• Design and develop data ingestion programs to process large data sets in Batch mode using HIVE, Pig and Sqoop, Spark
• Develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies

Skills and attributes for success

• Architect in designing highly scalable solutions Azure, AWS and GCP.
• Strong understanding & familiarity with all Azure/AWS/GCP /Bigdata Ecosystem components
• Strong understanding of underlying Azure/AWS/GCP Architectural concepts and distributed computing paradigms
• Hands-on programming experience in Apache Spark using Python/Scala and Spark Streaming
• Hands on experience with major components like cloud ETLs,Spark, Databricks
• Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
• Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions
• Solid understanding of ETL methodologies in a multi-tiered stack, integrating with Big Data systems like Cloudera and Databricks.
• Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms
• Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
• Good knowledge in apache Kafka & Apache Flume
• Experience in Enterprise grade solution implementations.
• Experience in performance bench marking enterprise applications
• Experience in Data security [on the move, at rest]
• Strong UNIX operating system concepts and shell scripting knowledge

To qualify for the role, you must have

• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.
• Excellent communicator (written and verbal formal and informal).
• Ability to multi-task under pressure and work independently with minimal supervision.
• Strong verbal and written communication skills.
• Must be a team player and enjoy working in a cooperative and collaborative team environment.
• Adaptable to new technologies and standards.

• Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support
• Responsible for the evaluation of technical risks and map out mitigation strategies
• Experience in Data security [on the move, at rest]
• Experience in performance bench marking enterprise applications
• Working knowledge in any of the cloud platform, AWS or Azure or GCP
• Excellent business communication, Consulting, Quality process skills
• Excellent Consulting Skills
• Excellence in leading Solution Architecture, Design, Build and Execute for leading clients in Banking, Wealth Asset Management, or Insurance domain.
• Minimum 7 years hand-on experience in one or more of the above areas.
• Minimum 10 years industry experience

Ideally, you’ll also have

• Strong project management skills
• Client management skills
• Solutioning skills

What we look for

• People with technical experience and enthusiasm to learn new things in this fast-moving environment

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

KEY Capabilities:

• Experience in working with Splunk Enterprise, Splunk Enterprise Security & Splunk UEBA
• Minimum of Splunk Power User Certification
• Good knowledge in programming or Scripting languages such as Python (preferred), JavaScript (preferred), Bash, PowerShell, Bash, etc.
• Assist in remote and on-site gap assessment of the SIEM solution.
  • Work on defined evaluation criteria & approach based on the Client requirement & scope factoring industry best practices & regulations
  • Assist in interview with stakeholders, review documents (SOPs, Architecture diagrams etc.)
  • Asist in evaluating SIEM based on the defined criteria and prepare audit reports
• Good experience in providing consulting to customers during the testing, evaluation, pilot, production and training phases to ensure a successful deployment.
• Experience in onboarding data into Splunk from various sources including unsupported (in-house built) by creating custom parsers
  • Verification of data of log sources in the SIEM, following the Common Information Model (CIM)
  • Experience in parsing and masking of data prior to ingestion in SIEM
  • Provide support for the data collection, processing, analysis and operational reporting systems including planning, installation, configuration, testing, troubleshooting and problem resolution
  • Assist clients to fully optimize the SIEM system capabilities as well as the audit and logging features of the event log sources
  • Assist client with technical guidance to configure their log sources (in-scope) to be integrated to the SIEM
• Experience in SIEM content development which includes :
  • Hands-on experience in development and customization of Splunk Apps & Add-Ons
  • Builds advanced visualizations (Interactive Drilldown, Glass tables etc.)
  • Build and integrate contextual data into notable events
  • Experience in creating use cases under Cyber kill chain and MITRE attack framework
  • Capability in developing advanced dashboards (with CSS, JavaScript, HTML, XML) and reports that can provide near real time visibility into the performance of client applications.
  • Sound knowledge in configuration of Alerts and Reports.
  • Good exposure in automatic lookup, data models and creating complex SPL queries.
  • Create, modify and tune the SIEM rules to adjust the specifications of alerts and incidents to meet client requirement
  • Experience in creating custom commands, custom alert action, adaptive response actions etc.

Qualification & experience:

• Minimum of 3 years’ experience in Splunk and 3 to 5 years of overall experience with knowledge in Operating System and basic network technologies
• Experience in SOC as L1/L2 Analyst will be an added advantage
• Strong oral, written and listening skills are an essential component to effective consulting.
• Good to have knowledge of Vulnerability Management, Windows Domains, trusts, GPOs, server roles, Windows security policies, user administration, Linux security and troubleshooting
• Certification in any other SIEM Solution such as IBM QRadar, Exabeam, Securonix will be an added advantage
• Certifications in a core security related discipline (CEH, Security+, etc.) will be an added advantage.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Your key responsibilities

• Have proven experience in driving Analytics GTM/Pre-Sales by collaborating with senior stakeholder/s in the client and partner organization in BCM, WAM, Insurance. Activities will include pipeline building, RFP responses, creating new solutions and offerings, conducting workshops as well as managing in flight projects focused on cloud and big data.
• Need to work with client in converting business problems/challenges to technical solutions considering security, performance, scalability etc. [ 10- 15 years]
• Need to understand current & Future state enterprise architecture.
• Need to contribute to various technical streams during implementation of the project.
• Provide product and design level technical best practices
• Interact with senior client technology leaders, understand their business goals, create, architect, propose, develop and deliver technology solutions
• Define and develop client specific best practices around data management within a Hadoop environment or cloud environment
• Recommend design alternatives for data ingestion, processing and provisioning layers
• Design and develop data ingestion programs to process large data sets in Batch mode using HIVE, Pig and Sqoop, Spark
• Develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies

Skills and attributes for success

• Architect in designing highly scalable solutions Azure, AWS and GCP.
• Strong understanding & familiarity with all Azure/AWS/GCP /Bigdata Ecosystem components
• Strong understanding of underlying Azure/AWS/GCP Architectural concepts and distributed computing paradigms
• Hands-on programming experience in Apache Spark using Python/Scala and Spark Streaming
• Hands on experience with major components like cloud ETLs,Spark, Databricks
• Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
• Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions
• Solid understanding of ETL methodologies in a multi-tiered stack, integrating with Big Data systems like Cloudera and Databricks.
• Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms
• Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
• Good knowledge in apache Kafka & Apache Flume
• Experience in Enterprise grade solution implementations.
• Experience in performance bench marking enterprise applications
• Experience in Data security [on the move, at rest]
• Strong UNIX operating system concepts and shell scripting knowledge

To qualify for the role, you must have

• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.
• Excellent communicator (written and verbal formal and informal).
• Ability to multi-task under pressure and work independently with minimal supervision.
• Strong verbal and written communication skills.
• Must be a team player and enjoy working in a cooperative and collaborative team environment.
• Adaptable to new technologies and standards.
• Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support
• Responsible for the evaluation of technical risks and map out mitigation strategies
• Experience in Data security [on the move, at rest]
• Experience in performance bench marking enterprise applications
• Working knowledge in any of the cloud platform, AWS or Azure or GCP
• Excellent business communication, Consulting, Quality process skills
• Excellent Consulting Skills
• Excellence in leading Solution Architecture, Design, Build and Execute for leading clients in Banking, Wealth Asset Management, or Insurance domain.
• Minimum 7 years hand-on experience in one or more of the above areas.
• Minimum 10 years industry experience

Ideally, you’ll also have

• Strong project management skills
• Client management skills
• Solutioning skills

What we look for

People with technical experience and enthusiasm to learn new things in this fast-moving environment

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

EY Technology supports our technology needs through three business units:

• Client Technology (CT) - focuses on developing new technology services for our clients. It enables EY to identify new technology-based opportunities faster and pursue those opportunities more rapidly.
• Enterprise Workplace Technology (EWT) – EWT supports our Core Business Services functions and will deliver fit-for-purpose technology infrastructure at the cheapest possible cost for quality services. EWT will also support our internal technology needs by focusing on a better user experience.
• Information Security (Info Sec) - Info Sec prevents, detects, responds and mitigates cyber-risk, protecting EY and client data, and our information management systems.

Your key responsibilities

• Define security architectures and provide pragmatic security guidance that balance business benefit and risks.
• Design and develop cloud platform-specific security policies, standards, and procedures for management group and account/subscription management and configuration (e.g. Azure Policy, Azure Security Center, AWS Config), identity management and access control, firewall management, auditing and monitoring, security incident and event management, data protection, user and administrator account management, SSO, conditional access controls and password/secrets management.
• Engage IT project teams throughout the SDLC to identify and prioritize applicable security controls and provide guidance on how to implement these controls
• Perform risk assessments of information systems and infrastructure
• Maintain and enhance the Information Security risk assessment methodology
• Define security configuration standards for platforms and technologies
• Develop appropriate risk treatment and mitigation options to address security risks identified during security review or audit
• Translate technical vulnerabilities into business risk terminology for business units and recommend corrective actions to customers and project stake-holders
• Provide knowledge sharing and technical assistance to other team members
• Act as Subject Matter Expert (SME) in responsible technologies and have deep technical understanding of responsible portfolios

Skills and attributes for success

• Experience with Cloud Identity and Access management solutions (AAD, Federation services, SAML, Ping) in implementation and operations.
• experience with Big Data and advanced analytics, AI/ML services (such as /Azure SQL/Google Cloud SQL /Azure HDInsight/Key management solutions, Storage and backup, Load balancing, Security Management, Databases and EC2 or VM machine hosting Databricks, Data Factory, Data Lake Storage/BigQuery, Azure Analysis Services, Synapse Analytics, Machine Learning, etc.)
• Experience in working with different Cloud platforms (Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS)) and environments (Public, Private, Hybrid) in a security role.
• hands-on technical experience implementing security solutions for leading Cloud service providers e.g., Amazon AWS, Microsoft Azure, Google Cloud.
• Ability to appropriately balance firm security needs with business impact & benefit
• Ability to facilitate compromise to incrementally advance security strategy and objectives
• Ability to team well with others to facilitate and enhance the understanding & compliance to security policies
• Experience facilitating meetings with multiple customers and technical staff, including building consensus and mediating compromise
• Five or more years Working experience with the architecture, design and engineering of web-based multi-tier information systems or network infrastructures
• Experience conducting risk assessments, vulnerability assessments, vendor and third party risk assessments and recommending risk remediation strategies
• Experience working with common information security standards, such as: ISO 27001/27002, NIST, PCI DSS, ITIL, COBIT

To qualify for the role, you must have

• Five or more years of experience in the management of a significant Information Security risk management function
• 5 or more years of experience in an Information Security or Information Technology discipline
• Experience in managing the communication of security findings and recommendations to IT project teams and management

Ideally, you’ll also have

• Exceptional judgment, tact, and decision-making ability
• Flexibility to adjust to multiple demands, shifting priorities, ambiguity, and rapid change
• Outstanding management, interpersonal, communication, organizational, and decision-making skills
• Strong English language skills are required
• Candidates are preferred to hold or be actively pursuing related professional certifications within the GIAC family of certifications or CISSP, CISM or Azure certifications (AZ500, AZ303, AZ304, AZ900)

We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

Job Summary:

As a
Senior Manager – Cloud Strategy & Advisory Lead, you will spearhead client engagements to define cloud-first, cloud-smart, and hybrid cloud strategies that accelerate digital transformation. You will help clients navigate complex decisions related to multi-cloud adoption, cloud operating models, FinOps, exit from legacy infrastructure (e.g., VMware), and cloud governance—all while ensuring business value, security, and compliance.

You will work closely with client executives, technology leaders, platform providers, and EY global teams to deliver cloud advisory engagements aligned to enterprise modernization and transformation initiatives.

Client Delivery & Engagement Leadership

• Lead advisory engagements on cloud strategy, hybrid/multi-cloud architecture, data center modernization , and cloud governance frameworks .
• Shape client journeys from on-premise and legacy platforms to cloud-native ecosystems , aligned to business and industry needs.
• Develop actionable transformation roadmaps covering cloud adoption, cloud exit (e.g., VMware), operating models, security, compliance, and cost optimization.
• Guide clients on integrating emerging technologies (e.g., containers, AI workloads, edge computing) into cloud strategies.
• Ensure cloud recommendations comply with global and regional regulatory, privacy, and security requirements.

Practice & Offering Development

Create standardized frameworks, assessment models, and accelerators for strategy and transformation programs.

Team Leadership & Capability Building

• Build and mentor a high-performing team of cloud advisors and consultants.
• Promote a culture of curiosity, innovation, knowledge sharing, and excellence in delivery.
• Lead internal training programs and knowledge management initiatives.

Business Development

• Drive business development across global markets with proposal ownership, client pitches, and solutioning.
• Support account leaders and industry teams in identifying and shaping cloud-led opportunities.
• Contribute to thought leadership (white papers, articles, points of view) in cloud and infrastructure modernization.

Required Qualifications:

• Bachelor’s degree in Engineering, Computer Science, Information Technology, or Electronics from a recognized university (e.g., B.E./B.Tech).
• Master’s degree: M.Tech or MBA with specialization in Information Systems, Infrastructure Management, or Technology Strategy
• Public cloud certifications: AWS/Azure/GCP Certified Architect
• FinOps Certified Practitioner is shall be an added advantage
• 12–16 years of experience in cloud and infrastructure consulting, transformation programs, or enterprise architecture roles.
• Demonstrated success in leading cloud strategy, infrastructure modernization, or cloud adoption engagements.
• Strong understanding of public cloud platforms (Azure, AWS, GCP), hybrid cloud, containers, and edge/cloud-native patterns.
• Familiarity with infrastructure cost models, FinOps frameworks, business case development, and optimization levers.
• Familiarity with modern tooling in IAC (Terraform, Ansible), AIOps, CMPs, Cloud Health/Apptio, and FinOps platforms.
• Experience advising on risk, security, compliance (e.g., NIST, ISO, GDPR), and resilience in cloud transformation.
• Proficiency in communicating with senior stakeholders (CTO, CIO, COO, CISO) and translating business goals into technology strategy.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Azure ML and Python Dev- Senior 1/2

EY GDS Consulting digital engineering, is seeking experienced Azure ML and Python Developer. Your responsibilities will include designing and implementing data pre-processing, feature engineering, and model training pipelines, collaborating closely with data scientists, and ensuring model performance and reliability in production environments. Proficiency in Azure ML services, Python programming, and a strong background in machine learning are key requirements for this role.

Your key responsibilities

• Develop and deploy machine learning models on Azure cloud platform using Python programming language and Azure ML services.
• Design and implement scalable and efficient data pipelines for model training and inference.
• Collaborate with data scientists and business stakeholders to understand requirements and translate them into technical solutions.
• Implement best practices for ML development, including version control, testing, and documentation.
• Develop and maintain APIs on Azure cloud platform for model deployment and integration with applications.
• Monitor and optimize model performance, ensuring scalability, reliability, and security.
• Participate in code reviews, troubleshooting, and optimization to improve performance and maintainability.
• Stay updated with industry trends and best practices in machine learning, cloud computing, and API development.
• Mentor junior team members, sharing expertise and guiding them in technical challenges.
• Collaborate with cross-functional teams, including data engineers, data scientists, and business analysts, to deliver end-to-end solutions.
• Conduct regular evaluations and assessments of ML models and APIs, identifying areas for improvement and optimization.
• Lead and contribute to innovation initiatives, exploring new technologies and approaches to enhance our ML and cloud capabilities.

Soft Skills

• Bachelor's degree in computer science, data science, or related field.
• 6-8 years of experience in machine learning, data engineering, and cloud computing, with a strong focus on Azure services.
• Proficiency in Python programming language for ML model development and deployment.
• Experience with Azure ML services, Azure data services (e.g., Azure Data Lake, Azure SQL Database), and Azure cloud infrastructure.
• Strong understanding of machine learning concepts, algorithms, and techniques, including supervised and unsupervised learning, deep learning, and natural language processing.
• Expertise in designing and implementing data pipelines for ML model training and inference, using tools like Azure Databricks, Azure Data Factory, and Azure Synapse Analytics.
• Familiarity with cloud-native technologies, containerization (e.g., Docker, Kubernetes), and DevOps practices for ML model deployment and automation.
• Experience with version control systems (e.g., Git/GitHub), CI/CD pipelines, and software engineering best practices for ML projects.
• Strong analytical and problem-solving skills, with the ability to analyze complex data sets, identify patterns, and derive meaningful insights.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.
• Proactive mindset, self-driven, and eager to learn new technologies and methodologies in the ML and cloud computing space.
• Ability to work in a fast-paced environment, manage multiple priorities, and deliver high-quality results under tight deadlines.

To qualify for the role, you must have

• A bachelor's or master's degree in computer science, data science, or related field.
• 6-8 years of hands-on experience in machine learning, cloud computing, and API development, with a focus on Azure services.
• Proficiency in Python programming language for ML model development and deployment, along with experience using Azure ML services and Azure cloud infrastructure.
• Strong communication skills, both verbal and written, with the ability to articulate technical concepts effectively to diverse audiences.
• Proven track record of successfully delivering ML projects, designing scalable data pipelines, and collaborating in cross-functional teams.
• Certifications such as Microsoft Certified: Azure AI Engineer Associate, Microsoft Certified: Azure Data Scientist Associate, or equivalent, are highly desirable.
• Experience with other cloud platforms (e.g., AWS, Google Cloud Platform) and additional programming languages (e.g., R, Java) is a plus.

Ideally, you’ll also have

• Analytical ability to manage multiple ML projects simultaneously, prioritize tasks effectively, and make data-driven decisions.
• Experience operating independently or with minimal supervision, demonstrating strong problem-solving skills and initiative.
• Familiarity with advanced ML techniques and frameworks (e.g., TensorFlow, PyTorch) for deep learning and computer vision applications.
• Knowledge of cloud security principles, data governance, and regulatory compliance frameworks relevant to ML and cloud environments.
• Experience with Big Data technologies (e.g., Apache Spark, Hadoop) for processing large-scale datasets and building ML models at scale.

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you