NEORIS is a Digital accelerator that helps companies enter the future, having 20 years of experience as Digital Partners of some of the largest companies in the world. We have more than 4,000 professionals in 11 countries, with our multicultural startup culture where we cultivate innovation, continuous learning to create high-value solutions for our clients.

We are looking for Bilingual SAP Functional Consultant (Hands-on)

Requirements:

• Experience in AMS & Enhancement Delivery

  • We are looking for a SAP Functional Senior (hands-on) professional with strong experience in Application Management Services (AMS) and enhancement delivery, capable of actively contributing to continuous improvements in SAP solutions.

  We are seeking a professional with true seniority, able to work independently and demonstrate solid judgment in decision-making:

  • Minimum experience: 5 years in SAP functional roles
    (in practice, this aligns more with a high-level semi-senior to senior profile)
  • Ability to work independently, without constant supervision
  • Hands-on approach, actively involved in daily operations and enhancement delivery
  • Strong functional judgment and analytical skills
  • Conversational English required to interact with stakeholders and teams

  This role is not tied to a specific SAP module; a broad functional background and cross-functional experience are highly valued.

  Nice to Have (Value-Adding Skills)

  The following are considered strong assets, though not mandatory:

  • Experience with SAP S/4HANA
  • Knowledge of or experience working in Agile environments
  • Background in Retail / IS-Retail
  • SAP Certification (not required, but a plus)

We offer:

• Professional growth
• Dynamic work environment
• Attractive benefits plan
• Benefits of law and superiors

Come and meet us on: http://www.neoris.com, on Facebook, LinkedIn, Twitter, or Instagram @NEORIS.

Aurea Vázquez

#LI-AV1

NEORIS is a Digital accelerator that helps companies enter the future, having 20 years of experience as Digital Partners of some of the largest companies in the world. We have more than 4,000 professionals in 11 countries, with our multicultural startup culture where we cultivate innovation, continuous learning to create high-value solutions for our clients.

We are looking for a motivated Mid level Data Scientist with experience in Python, statistical analysis, and machine learning to support the development of data-driven and AI-powered solutions. In this role, you will collaborate with senior data scientists, engineers, and business stakeholders to analyze data, build predictive models, and contribute to scalable analytics and AI applications.

This is a great opportunity for a data professional to grow their expertise in Machine Learning, Generative AI, and modern data science practices while working on real-world business problems. You will gain hands-on experience building models and applications that support production environments.

Key Responsibilities

• Model Development: Support the implementation of machine learning models, assisting with data preprocessing, feature engineering, model training, and evaluation.
• Statistical Analysis: Apply techniques such as regression, classification, clustering, and anomaly detection to solve business and operational problems.
• AI Innovation: Assist in developing applications using Generative AI (LLMs, prompt engineering, embeddings, or Retrieval-Augmented Generation).
• Integration: Work with APIs and backend services to integrate ML and AI models into internal systems.
• Workflow Optimization: Support the development of scalable ML workflows and data pipelines for experimentation and training.
• Cross-functional Collaboration: Partner with data engineers, DevOps and software developers to support the deployment and monitoring of models.
• Code Quality: Write clean, well-documented code using Python and SQL.
• Data Storytelling: Prepare visualizations and reports to communicate insights and results to both technical and non-technical stakeholders.

Required Qualifications

• Professional Experience: 3+ years working with Python in data science, analytics, or machine learning projects.
• 3 + years experience using Computer Vision models like YOLO
• Database Skills: Practical experience with SQL for querying and analyzing large datasets.
• ML Frameworks: Experience supporting ML models using libraries such as scikit-learn, PyTorch, or TensorFlow.
• Data Processing: Familiarity with data processing or streaming pipelines (e.g. Apache Beam, Google Cloud Dataflow, Spark, or similar frameworks).
• Forecast
• Technical Literacy: Familiarity with REST APIs, web services, Generative AI concepts and frameworks (LLMs, RAG-based systems, LangChain, ADK, Llama-index).
• English proficiency (B2 level or higher).

Preferred Qualifications

• Version Control: Experience with Git and version control practices.
• Cloud & DevOps: Exposure to cloud environments (GCP, AWS, or Azure) and MLOps concepts (CI/CD, Docker, Kubernetes, or MLflow).
• Agile Mindset: Experience working in Agile development environments.
• Portfolio: Personal projects, research, or AI experimentation that demonstrate initiative and curiosity.

What We Value

• Curiosity: A strong desire for continuous learning and exploring new tools in AI/ML.
• Initiative: A self-driven approach to developing skills and solving technical hurdles.
• Persistence: The ability to iterate through complex challenges toward effective solutions.
• Ownership: Accountability for technical tasks and a collaborative, supportive mindset.

  We offer:

• Statutory & Major benefits
• Personal Growth
• Competitive salary
• Attractive benefits plan

Come and meet us on: http://www.neoris.com, on Facebook, LinkedIn, Twitter, or Instagram @NEORIS.

Marina Molina

#LI-MM3

EPAM NEORIS is a Digital accelerator that helps companies enter the future, having 20 years of experience as Digital Partners of some of the largest companies in the world. We have more than 4,000 professionals in 11 countries, with our multicultural startup culture where we cultivate innovation, continuous learning to create high-value solutions for our clients.

We are looking for a Bilingual Development Focal:

Requirements:

•  7+ years of hands-on software development experience, with at least 3 in a tech lead or senior engineering role.
• Strong background in modern development practices: clean code, CI/CD, automated testing, code review culture.
• Experience working in distributed or nearshore/offshore delivery models.
• Background in retail tech, e-commerce, or enterprise product companies.
• Familiarity with agile / scrum delivery as a tech lead or architect (not necessarily as Scrum Master).
• Experience with cloud-native development (AWS, GCP or Azure).
• Previous client-facing or pre-sales solutioning experience.
• Knowledge of DevOps practices (CI/CD pipelines, IaC basics) — enough to collaborate with the DevOps focal.
• High English level.

What will you do:

Technical governance

• Define and enforce engineering standards, coding conventions, and quality gates across Development PODs.
• Conduct architecture reviews and technical decision approvals for the POD teams.
• Identify technical risks early and escalate to the Digital Delivery Center Director with a remediation plan.
• Review sprint deliverables at key milestones.

Onboarding & team quality

• Approve engineer profiles submitted before they join a POD.
• Lead orientation sessions for every new engineer.
• Conduct the quality check-in to validate the engineer meets the bar.
• Sign off onboarding completion.

Client-facing responsibilities

• Attend bi-weekly technical sessions with stakeholders as the technical representative.
• Translate client needs into POD-level technical direction for the delivery team.
• Present technical progress, decisions, and risks at monthly reviews.
• Participate in Q-Meets when technical depth is needed.

Solutioning & pre-sales support

• Contribute to POD design and sizing during pre-sales and wave planning.
• Maintain and update solutioning documentation (runbooks, technical diagrams, process guides) per POD.
• Support the Digital Delivery Center Director in scope definition and rate card validation for Development PODs.

We offer:

• Professional growth
• Dynamic work environment
• Attractive benefits plan
• Benefits of law and superiors

Come and meet us on: http://www.neoris.com, on Facebook, LinkedIn, Twitter, or Instagram @NEORIS.

Aurea Vázquez 

#LI-AV1

NEORIS is a Digital accelerator that helps companies enter the future, having 20 years of experience as Digital Partners of some of the largest companies in the world. We have more than 4,000 professionals in 11 countries, with our multicultural startup culture where we cultivate innovation, continuous learning to create high-value solutions for our clients.

We are looking for Data Analytics Engineer - Expert

Required Qualifications

• 7+ years of experience in Data Analytics, Data Engineering, or related roles, with strong exposure to operational analytics.
• Deep, hands-on expertise in BigQuery (required) and Google Cloud Platform (GCP).
• Advanced proficiency in SQL, including complex query design and performance optimization.
• Strong experience with Python (or equivalent scripting) for automation and data processing.
• Proven experience building dashboards with Tableau and/or Grafana.
• Hands-on experience analyzing ServiceNow or ITSM datasets, with understanding of underlying data structures.
• Experience leveraging AI tools (Claude, Gemini, or similar) for analytics and productivity.
• Proficiency with Git, VS Code, and modern development workflows.
• Strong communication skills with the ability to engage senior leadership.
• English – Advanced (required).
• Demonstrated ability to work independently, prioritize effectively, and deliver under pressure.

Preferred Qualifications

• Experience in IT operations, NOC environments, or incident management analytics.
• Background in data engineering and pipeline architecture within cloud environments.
• Familiarity with MCP (Model Context Protocol) or similar frameworks.
• Exposure to AI-driven analytics, automation, or natural language reporting tools.
• Experience contributing to architecture decisions or platform-level improvements.
• Strong problem-solving mindset with a focus on speed, accuracy, and business impact.

We offer:

• Professional growth
• Dynamic work environment
• Competitive salary
• Attractive benefits plan
• Benefits of law and superiors
• Development opportunities

Come and meet us on: http://www.neoris.com, on Facebook, LinkedIn, Twitter, or Instagram @NEORIS.

Brenda Catzin

#LI-BC2

NEORIS is a Digital accelerator that helps companies enter the future, having 20 years of experience as Digital Partners of some of the largest companies in the world. We have more than 4,000 professionals in 11 countries, with our multicultural startup culture where we cultivate innovation, continuous learning to create high-value solutions for our clients.

We are looking for a Senior Security Architect (Clowd & AWS) to lead the closure of AWS cybersecurity remediation tickets and subsequently operating as the account's permanent security lead for ongoing operations and cloud security governance.

The profile will own the security posture of a multi-account AWS environment, coordinate with global cybersecurity team, and ensure that all controls remain audit-ready on an ongoing basis.

Required Profile:

• 10+ years of professional experience in cybersecurity, cloud security, or information security roles
• Minimum 5 years of hands-on experience with AWS security services (GuardDuty, Security Hub, IAM, Secrets Manager, Inspector, CloudTrail, AWS Config)
• Demonstrated experience leading security remediation projects in regulated environments (banking, healthcare, or FMCG preferred)
• Experience working with audit frameworks and generating audit evidence packages (ISO 27001, SOC 2, or equivalent)
• Prior experience in client-embedded or staff augmentation roles is a strong plus

Technical Skills — Required

• AWS: IAM, GuardDuty, Security Hub, Inspector, CloudTrail, Secrets Manager, AWS Config, AWS Backup, Transfer Family
• EC2 and Elastic Beanstalk: platform management, Amazon Linux migration, patch management
• Encryption: KMS, RDS encryption at rest, S3 server-side encryption, certificate management
• Network security: Security Groups, NACLs, VPC architecture, WAF, NLB/ALB security
• Identity: SSO (AWS IAM Identity Center), MFA enforcement, privilege management (PAM)
• Threat frameworks: MITRE ATT&CK, STRIDE, NIST CSF, Zero Trust principles
• Security monitoring: SIEM integration (Splunk preferred), log aggregation, alert triage

Technical Skills — Desirable

• Qualys or equivalent vulnerability management tooling
• Endpoint Detection and Response (EDR/XDR) platforms
• IaC security scanning (Checkov, tfsec, or equivalent)
• DevSecOps practices: pipeline security gates, SAST/DAST integration
• Multi-cloud exposure (GCP or Azure) as secondary environment
• Advanced Level of English

Soft Skills & Mindset

• Autonomous and structured — able to manage multiple work streams without day-to-day supervision
• Strong written and verbal communication in English (minimum B2), with experience in weekly client-facing reporting.
• Comfortable operating in ambiguous, fast-paced environments with competing priorities
• Security-first mindset: able to say no and explain why, without blocking business delivery
• Collaborative: works effectively with infrastructure engineers, DevOps teams, and client-side stakeholders

Education

• Bachelor's degree in Systems Engineering, Computer Science, or related field — required
• Master's degree or postgraduate specialization in Cybersecurity — strongly preferred

Certifications — Required (at least one)

• AWS Certified Security – Specialty
• AWS Certified Solutions Architect – Professional
• CISSP (Certified Information Systems Security Professional)

Certifications — Desirable

• ISO 27001 Lead Implementer or Lead Auditor
• CISM (Certified Information Security Manager)
• CompTIA Security+ or equivalent baseline
• CEH, OSCP, or offensive security certifications

We offer:

• Statutory & Major benefits
• Personal Growth
• Competitive salary
• Attractive benefits plan

Come and meet us on: http://www.neoris.com, on Facebook, LinkedIn, Twitter, or Instagram @NEORIS.

Marina Molina

LI-MM3

NEORIS is a Digital accelerator that helps companies enter the future, having 20 years of experience as Digital Partners of some of the largest companies in the world. We have more than 4,000 professionals in 11 countries, with our multicultural startup culture where we cultivate innovation, continuous learning to create high-value solutions for our clients.

We are seeking a highly experienced  a Experienced Automated Tester with a strong background in digital analytics QA to validate tracking implementations across websites and mobile platforms. The ideal candidate will be responsible for ensuring the accuracy, completeness, and consistency of data collected through tools such as Adobe Analytics and ObservePoint, across multiple environments.

This role involves validating dataLayer setups, inspecting network calls, performing user acceptance testing (UAT), and supporting production troubleshooting. You will work closely with developers, business analysts, and stakeholders to guarantee that digital tracking is implemented correctly and supports key business objectives.

Key Responsibilities

• Build and maintain automated regression tests to monitor analytics implementations across web and mobile environments.
• Validate analytics data for new features including tracking of eVars, props, and events based on Adobe Analytics standards.
• Conduct UAT by collaborating with stakeholders to ensure data flows accurately reflect business requirements.
• Test dataLayer implementations, ensuring values are correctly populated on relevant pages and user interactions.
• Inspect and verify network requests (e.g., Adobe/Meta pixels) using ObservePoint, Web Inspector, and browser developer tools.
• Validate redirects and page transitions, ensuring Adobe Visitor ID (mid) and other data persist across navigation flows.
• Monitor live sessions using tools like Adobe Debugger to confirm proper parameter firing and payload integrity.
• Log and track bugs related to data issues such as missing or duplicated tracking.
• Support QA sign-offs during release cycles by ensuring all analytics tags are firing correctly.
• Assist in production issue resolution, performing root cause analysis on tracking or reporting anomalies.

Technologies & Tools

• Adobe Experience Cloud (Adobe Analytics, Experience Platform Debugger)
• ObservePoint
• Web Debugging Tools: Chrome DevTools, Web Inspector
• Mobile Testing: iOS & Android environments
• Data Testing & API Tools: Postman
• Issue Tracking & Documentation: JIRA, Confluence
• Google Developer Console

Qualifications

• 5+ years of experience in QA, with a focus on digital analytics validation.
• Strong knowledge of Adobe Analytics and tagging best practices.
• Hands-on experience with ObservePoint and network traffic inspection tools.
• Familiarity with data layers, visitor IDs, and cross-platform testing.
• Comfortable working with web and mobile applications in staging and production environments.
• Strong attention to detail and ability to work independently in a fast-paced environment.
• Advanced Level of English 

We offer:

• Statutory & Major benefits
• Personal Growth
• Competitive salary
• Attractive benefits plan

Come and meet us on: http://www.neoris.com, on Facebook, LinkedIn, Twitter, or Instagram @NEORIS.

Marina Molina

#LI-MM3

EPAM NEORIS is a Digital accelerator that helps companies enter the future, having 20 years of experience as Digital Partners of some of the largest companies in the world. We have more than 4,000 professionals in 11 countries, with our multicultural startup culture where we cultivate innovation, continuous learning to create high-value solutions for our clients.

We are looking for Data Engineer Midel,

Required Qualifications

• 3 - 5 years of experience in Data Engineering, Backend Engineering, or related roles.
• Strong background in data modeling, data quality, and production-grade data systems.
• Proven hands-on experience as a Knowledge Graph SME (mandatory), including: Entity and relationship modeling, ontology design and semantic modeling, RDF/TTL and graph-based standards.
• Strong proficiency in Python and SQL. 
• Practical experience building and querying Knowledge Graphs in real-world applications.
• Experience with Graph-RAG or graph-based retrieval approaches.
• Solid understanding of data architecture, pipelines, and distributed systems.
• Ability to work independently in fast-paced, cross-functional environments.
• Strong English communication skills B2/C1.

Preferred Qualifications

• Experience integrating Knowledge Graphs (mandatory) with LLMs or GenAI applications.
• Familiarity with graph databases (e.g., Neo4j, Amazon Neptune, or similar).
• Experience with cloud platforms (GCP, AWS, or Azure).
• Knowledge of data governance and metadata management frameworks.

  We offer:

• Statutory & Major benefits
• Personal Growth
• Competitive salary
• Attractive benefits plan

Come and meet us on: http://www.neoris.com, on Facebook, LinkedIn, Twitter, or Instagram @NEORIS.

Brenda Catzin

#LI-BC2

EPAM NEORIS is a Digital accelerator that helps companies enter the future, having 20 years of experience as Digital Partners of some of the largest companies in the world. We have more than 4,000 professionals in 11 countries, with our multicultural startup culture where we cultivate innovation, continuous learning to create high-value solutions for our clients.

We are looking for a Data Engineer - GCP

Requirements:

• Data Ingestion
• + 3 years SQL (ETL, Complex Database Scripting)
• Data Extraction from various sources (Files, Plans, Excel, MS SQL / Oracle / Snowflake / Hana / SAP ECC / ERPs) (Structured Data / Unstructured Data) (At least 3 different types)
• Desirable: Spark (ETLS, Distributed Systems for High Data Volumes)

Data Integration & Transformation (Data Pipelines) (Automated ETL Process)

• + 3 years Python (ETLs, Pipelines) for Machine Learning
• Experience in data preparation for Data Science teams, from the review of Sources, their Cleaning, Integration and Data Transformation.
• Tagging Data Sets (Data Annotation Toolset) GCP
• Experience in Transformations for Model Types (Supervised (Labels delivered) / Unsupervised (model finds patterns))
• Experience creating data ingestion processes to models, to generate predictions.
• 2 years Data Cleansing
• Data Wrangling
• Data Cleansing
• Data Quality

Cloud computing

• · + 2 years GCP
• · API Management, Azure Pipelines, Log Analytics, Azure Functions, Databricks, Storage – SQL Azure / CosmosDB / Table Storage / Blob Storage)
• GIT: GitHub, BitBucket.
• CI/CD, Jenkins, Azure Pipelines, Airflow.

Bigdata

• Spark, Hadoop, among others
• NoSQL (Mongo, Cosmos)

We offer:

• Professional growth
• Dynamic work environment
• Attractive benefits plan
• Benefits of law and superiors

Come and meet us on: http://www.neoris.com, on Facebook, LinkedIn, Twitter, or Instagram @NEORIS.

Brenda Catzin

#LI-BC2

NEORIS is a Digital accelerator that helps companies enter the future, having 20 years of experience as Digital Partners of some of the largest companies in the world. We have more than 4,000 professionals in 11 countries, with our multicultural startup culture where we cultivate innovation, continuous learning to create high-value solutions for our clients.

We are seeking a highly experienced and hands-on Senior AI Engineer (GenAI & Agentic Systems) to lead the design, development, and scaling of next-generation Agentic AI systems and GenAI applications. In this role, you will own the technical direction of complex AI solutions, bridging cutting-edge LLM capabilities with robust, production-grade software.
You will architect multi-agent systems, define best practices for RAG pipelines, and lead the development of scalable backend and cloud-native infrastructure on Google Cloud Platform (GCP). This role requires both deep technical expertise and the ability to guide teams in building reliable, secure, and high-performing AI systems.

Key Responsibilities

Agentic AI & GenAI Architecture

• Lead the design and implementation of advanced agentic architectures, including multi-agent orchestration, tool usage, planning, memory management, and self-reflection patterns using platforms such as Google ADK.
• Define and standardize RAG architectures, including retrieval strategies, context engineering, hybrid search, re-ranking, and optimization of latency, accuracy, and cost.
• Establish prompt engineering standards and governance, ensuring consistency, reliability, and scalability across use cases.
• Design and implement evaluation frameworks to measure model performance (hallucination rates, precision/recall, response quality).
• Define observability strategies for multi-agent systems, including tracing, debugging, and performance monitoring.

Backend & Systems Engineering Leadership

• Architect and oversee development of scalable, asynchronous backend systems and APIs using FastAPI or similar frameworks.
• Define best practices for system integration, enabling AI agents to interact securely with enterprise systems, APIs, and external tools.
• Ensure high standards in software design, modularity, performance, and reliability across services.

Cloud Architecture & MLOps

• Lead the design and deployment of cloud-native AI solutions on GCP, ensuring scalability, resilience, and cost optimization.
• Define containerization and orchestration strategies using Docker and Kubernetes (GKE).
• Establish and improve CI/CD pipelines, testing frameworks, and release processes for AI systems.
• Oversee database architecture, including vector search (pgvector) and relational data management.

Technical Leadership & Collaboration

• Provide technical leadership and mentorship to engineers, promoting best practices in AI/ML and software engineering.
• Collaborate with product, data, and engineering teams to translate business needs into scalable AI solutions.
• Drive architecture decisions, code reviews, and technical standards across projects.
• Ensure alignment with security, privacy, and governance standards, especially for GenAI applications.

Required Qualifications

• 5+ years of software engineering experience, with 2–3+ years building and deploying production-grade AI/LLM systems.
• Expert-level proficiency in Python, including asynchronous programming (AsyncIO).
• Strong experience designing and implementing RAG pipelines, vector search, and GenAI systems.
• Proven experience architecting multi-agent systems or complex AI workflows.
• Deep experience with FastAPI (or similar frameworks) for building scalable backend services.
• Strong knowledge of PostgreSQL and vector databases (pgvector or equivalent).
• Hands-on experience with GCP, including deploying and managing applications in cloud-native environments.
• Strong experience with Docker, Kubernetes (GKE), and CI/CD pipelines.
• Solid understanding of distributed systems, API design, and software architecture principles.
• Experience implementing evaluation, monitoring, and observability for AI systems.
• Strong communication skills and ability to work in cross-functional teams.
• English proficiency – B2+/C1 preferred.

Preferred Qualifications (Nice-to-Haves)

• Hands-on experience with Google ADK (Agent Development Kit) or similar agent orchestration frameworks.
• Experience with real-time systems, including streaming responses (WebSockets, SSE).
• Familiarity with additional GenAI frameworks (e.g., LangChain, LlamaIndex) for broader architectural perspectives.
• Experience implementing security, guardrails, and PII protection in AI systems.
• Background in scaling AI systems in enterprise environments.
• Experience leading or contributing to architecture design reviews and technical roadmaps.

We offer:

• Professional growth
• Dynamic work environment
• Competitive salary
• Attractive benefits plan
• Benefits of law and superiors
• Development opportunities

Come and meet us on: http://www.neoris.com, on Facebook, LinkedIn, Twitter, or Instagram @NEORIS.

Marina Molina 

#LI-MM3

NEORIS is a Digital accelerator that helps companies enter the future, having 20 years of experience as Digital Partners of some of the largest companies in the world. We have more than 4,000 professionals in 11 countries, with our multicultural startup culture where we cultivate innovation, continuous learning to create high-value solutions for our clients.

We are seeking a highly experienced Data Scientist Senior to drive the technical vision, architecture, and delivery of advanced analytics and AI/ML solutions. This role combines deep hands-on data science expertise with strong technical leadership and stakeholder management skills.

Key Responsibilities

• Define and lead the technical strategy and architecture for scalable, production-ready data science and AI solutions, including selecting appropriate frameworks, tools, and cloud platforms; establishing best practices for model lifecycle management; and ensuring solutions are secure, maintainable, and aligned with enterprise architecture standards.

• Lead the design and implementation of machine learning, statistical, and predictive models, overseeing the full lifecycle from data exploration and feature engineering to model training, validation, tuning, and performance optimization, ensuring models are explainable, robust, and aligned with measurable business KPIs.

• Oversee the development of advanced AI solutions, including Generative AI and LLM-based systems when applicable, guiding architecture decisions for RAG pipelines, prompt engineering strategies, evaluation frameworks, and integration of AI components into enterprise applications and workflows.

• Collaborate with multi-disciplinary teams across strategy, technology, and industry to deliver integrated transformation outcomes.

• Lead and mentor Data Scientists, ML Engineers, and Analysts, building capability and fostering a culture of excellence.

   

   

   

Required Qualifications

• Tertiary qualifications in Data Science, Analytics, Engineering or related fields; postgraduate qualifications are highly regarded.
• 8+ years of experience in Data Science, Machine Learning, or Advanced Analytics.
• 3+ years in technical leadership or lead role.
• Strong understanding of statistical modeling, predictive analytics, and experimentation methodologies, with strong proficiency in Python, ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and cloud platforms (GCP, AWS, or Azure).
• Proven experience with MLOps practices, CI/CD, Docker, Kubernetes, or similar.
• Leadership and people management skills, with experience guiding diverse teams and developing talent.
• Strong communication skills and ability to engage both technical and non-technical stakeholders.
• Englis level: Advanced 

  We offer:

• Statutory & Major benefits
• Personal Growth
• Competitive salary
• Attractive benefits plan

Come and meet us on: http://www.neoris.com, on Facebook, LinkedIn, Twitter, or Instagram @NEORIS.

Marina Molina

#LI-MM3