Qureos Mentor

<div>Company Description 
Sia is a specialist Management Consulting firm born in Paris, France in 1999 and has grown into a global firm with over 3,000 employees and annual revenue exceeding $500m. Our culture is strongly oriented towards high-quality expertise and delivering excellent results and outcomes for our clients, which include a wide range of multinational companies. Testament to its success, Sia has shown double-digit growth every year since inception.
Sia is a pioneer of Consulting 4.0, putting us at the forefront of the technology revolution, deploying augmented Consultants capable of leveraging emerging digital technology to enhance and improve their cognitive reasoning, analysis and planning. Supported by Augmented &amp; Artificial Intelligence, Automation and Data Science we empower our clients to make the right decisions at the right time for the right reasons.
With our consultants representing 41 different nationalities, we are a highly diverse team spread across 48 offices in 19 countries. However, using innovative technologies such as our own in-house apps, social networks, and digital tools, we provide a truly integrated global service.
Sia is an equal opportunities employer, committed to diversity, inclusion, and employee well-being. Our diversity and inclusion networks (local and global) contribute to a pipeline of initiatives to enhance employee quality of life and foster a caring environment to work in.
Employees are encouraged to contribute to these initiatives and drive positive change in the organisation across 5 pillars: Women@Sia, Multi-Ethnic, Well-being, and Environment.
In the Middle East, Sia provides expert advisory services on strategy &amp; execution, innovation, operational performance &amp; cost reduction, cyber &amp; data security, efficient organisation, transformation &amp; change management, HR performance, and IT performance. In addition to these services, Sia Institute, Sia Partners&rsquo; world-class international training arm, provides a wide range of learning programs and workshops with modules successfully delivered across various locations and sectors, particularly in the Middle East.
Why join the Sia Village?
Excellence | Entrepreneurship | Innovation | Teamwork | Care &amp; Support | Employee Wellbeing
These are the six core values that guide all our actions. As an expression of our values, our Sia Village concept describes our commitment to fostering a sense of community within and among our offices. We believe that knowledge sharing is the key, not only to innovation, but to the growth and development of our people. 
Job Description 
Our Consultants play pivotal roles in supporting the delivery of project engagements, service delivery, and targeted initiatives within our Middle East team. They engage in designated focus areas, ensuring diligent monitoring and successful execution of projects that align with agreed outcomes.
Operating across various sectors including transport, energy, banking &amp; insurance, and the public sector, the Middle East team addresses challenges in innovation and business transformation. Guided by experienced consultants, you will be part of a multidisciplinary team, engaging in a wide range of missions:<ul><li>
Organization &amp; Governance: Transforming organizational structures and operational models.</li><li>
Corporate and Operational Strategy and Transformation Projects:</li><li>
Developing strategies and roadmaps.</li><li>
Framing and steering program/project management, supporting deployment.</li><li>
Operational Performance:</li><li>
Defining/optimizing customer experiences, business processes, and user journeys.</li><li>
Pursuing operational excellence through Lean Management.</li><li>
Conducting audits/diagnostics with subsequent recommendations (organization, processes, governance, risk mapping, etc.).</li><li>
Economic Performance:</li><li>
Crafting Business Cases, benchmarks, and financial optimization.</li></ul>
Additionally, you will contribute to the internal life of the firm through various initiatives:<ul><li>
Developing or enhancing our offerings through training sessions and working groups.</li><li>
Contributing to our publication policy through articles, studies, and press releases.</li><li>
Expanding new business activities by responding to tenders and drafting commercial proposals.</li></ul> 

Qualifications 
<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree from a top-tier university in Engineering, Business Administration, Innovation, or related fields.</li><li>
2-4 years of consulting experience, with a demonstrated track record of client engagement and project management.</li><li>
Proficient in advanced consulting innovation and/or Strategy, business transformation topics.</li><li>
Strong interpersonal skills, capable of fostering client relationships and collaborating effectively with diverse teams.</li><li>
Excellent communication skills, capable of crafting and presenting detailed reports and presentations to clients.</li><li>
Strong analytical skills, with the ability to conduct complex analyses and provide insights.</li><li>
Business proficiency level in English and Arabic (reading, writing, typing) is a must.</li></ul> 

Additional Information 
Joining Sia means integrating into a globally recognized firm that fosters personal growth through our unique Sia Village concept, which promotes a community-driven culture reinforced by values of Excellence, Entrepreneurship, Innovation, Teamwork, Care &amp; Support, and Employee Wellbeing, ensuring a fulfilling career path.
What a career at Sia offer you?<ul><li>
Competitive compensation: an competitive salary and benefits package, benchmarked against the market to ensure the most competitive offers.</li><li>
Entrepreneurial spirit: Join us on an entrepreneurial journey that not only fosters innovation but also empowers you to drive your own success. Dive into a culture where your ideas shape the future.</li><li>
Tailored career advocacy program: Receive dedicated support designed to help you achieve your professional aspirations. Our program pairs you with mentors who provide actionable feedback, ensuring continuous progress and success in your career path.</li><li>
Continuous growth: Engage with ongoing opportunities for learning and development, particularly in new and emerging topics. Stay ahead of the curve by continually advancing your knowledge and skills.</li></ul>
Our Commitment to Diversity
At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact.
We are guided by the pursuit of understanding and take pride in being able to provide meaningful solutions to our clients&rsquo; unique challenges. We bring our whole selves to work and strive to listen, observe, understand and be understood.
To learn more about our mission, values, and business sectors, please visit our website.<div></div>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</div>

[KSA] Consultant

<div>Company Description 
Sia is a specialist Management Consulting firm born in Paris, France in 1999 and has grown into a global firm with over 3,000 employees and annual revenue exceeding $500m. Our culture is strongly oriented towards high-quality expertise and delivering excellent results and outcomes for our clients, which include a wide range of multinational companies. Testament to its success, Sia has shown double-digit growth every year since inception.
Sia is a pioneer of Consulting 4.0, putting us at the forefront of the technology revolution, deploying augmented Consultants capable of leveraging emerging digital technology to enhance and improve their cognitive reasoning, analysis and planning. Supported by Augmented &amp; Artificial Intelligence, Automation and Data Science we empower our clients to make the right decisions at the right time for the right reasons.
With our consultants representing 41 different nationalities, we are a highly diverse team spread across 48 offices in 19 countries. However, using innovative technologies such as our own in-house apps, social networks, and digital tools, we provide a truly integrated global service.
Sia is an equal opportunities employer, committed to diversity, inclusion, and employee well-being. Our diversity and inclusion networks (local and global) contribute to a pipeline of initiatives to enhance employee quality of life and foster a caring environment to work in.
Employees are encouraged to contribute to these initiatives and drive positive change in the organisation across 5 pillars: Women@Sia, Multi-Ethnic, Well-being, and Environment.
In the Middle East, Sia provides expert advisory services on strategy &amp; execution, innovation, operational performance &amp; cost reduction, cyber &amp; data security, efficient organisation, transformation &amp; change management, HR performance, and IT performance. In addition to these services, Sia Institute, Sia Partners&rsquo; world-class international training arm, provides a wide range of learning programs and workshops with modules successfully delivered across various locations and sectors, particularly in the Middle East.
Why join the Sia Village?
Excellence | Entrepreneurship | Innovation | Teamwork | Care &amp; Support | Employee Wellbeing
These are the six core values that guide all our actions. As an expression of our values, our Sia Village concept describes our commitment to fostering a sense of community within and among our offices. We believe that knowledge sharing is the key, not only to innovation, but to the growth and development of our people. 
Job Description 
Our Senior Consultant play pivotal roles in supporting the delivery of project engagements, service delivery, and targeted initiatives within our Middle East team. They engage in designated focus areas, ensuring diligent monitoring and successful execution of projects that align with agreed outcomes.
Operating across various sectors including transport, energy, banking &amp; insurance, and the public sector, the Middle East team addresses challenges in innovation and business transformation. Guided by experienced managers, you will be part of a multidisciplinary team, engaging in a wide range of missions:<ul><li>
Project Delivery and Management:<ul><li>
Contribute to various work streams within complex projects, ensuring regular progress updates and strategic alignment with client goals.</li><li>
Conduct high-level analyses and develop comprehensive action plans.</li><li>
Lead meetings effectively to drive strategic decision-making.</li><li>
Oversee multiple project workstreams, ensuring they align with broader strategic objectives and deliver on key performance indicators.</li></ul></li><li>
Business Development:<ul><li>
Proactively identify, track, and qualify new business opportunities.</li><li>
Independently draft significant sections of business proposals, contributing to the team&rsquo;s growth objectives.</li><li>
Play a significant role in proposal development and the qualification of new business opportunities, expanding our market reach.</li></ul></li><li>
Client and Team Management:<ul><li>
Supervise and mentor junior team members, ensuring their ongoing professional development and significant contribution to project deliverables.</li><li>
Coach others in the effective use of consulting tools and methodologies to enhance project outcomes and client satisfaction.</li><li>
Support clients in achieving sustainable performance and improvements, applying tailored solutions to complex business challenges.</li><li>
Manage project teams comprehensively, fostering team development while exemplifying and promoting core company values.</li></ul></li><li>
Sector Expertise and Thought Leadership:<ul><li>
Possess a deep understanding of industry landscapes, business concepts, and key stakeholders, which informs strategy and execution.</li><li>
Contribute to the internal life of the firm through various initiatives:<ul><li>
Developing or enhancing our offerings through training sessions and working groups.</li><li>
Contributing to our publication policy through articles, studies, and press releases.</li><li>
Expanding new business activities by responding to tenders and drafting commercial proposals.</li></ul></li></ul></li></ul> 
Qualifications 
<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree from a top-tier university in Engineering, Business Administration, Innovation, or related fields.</li><li>
5-7 years of consulting experience, with a demonstrated track record of client engagement, project management and strategy management.</li><li>
Advanced proficiency in Strategy and/or business transformation topics and project management.</li><li>
Enhanced interpersonal skills, capable of fostering client relationships and collaborating effectively with diverse teams.</li><li>
Excellent communication and presentation skills, with the capability to inspire and influence the decisions of executives and stakeholders.</li><li>
Strong analytical skills, capable of leading analytical projects and interpreting complex data sets. Ability to extract insights and implications from data sets collections.</li><li>
PMP certification is highly desirable</li><li>
Business proficiency level in English and Arabic (reading, writing, typing) is a must.</li></ul> 

Additional Information 
Joining Sia means integrating into a globally recognized firm that fosters personal growth through our unique Sia Village concept, which promotes a community-driven culture reinforced by values of Excellence, Entrepreneurship, Innovation, Teamwork, Care &amp; Support, and Employee Wellbeing, ensuring a fulfilling career path.
What a career at Sia offer you?<ul><li>
Competitive compensation: an competitive salary and benefits package, benchmarked against the market to ensure the most competitive offers.</li><li>
Entrepreneurial spirit: Join us on an entrepreneurial journey that not only fosters innovation but also empowers you to drive your own success. Dive into a culture where your ideas shape the future.</li><li>
Tailored career advocacy program: Receive dedicated support designed to help you achieve your professional aspirations. Our program pairs you with mentors who provide actionable feedback, ensuring continuous progress and success in your career path.</li><li>
Continuous growth: Engage with ongoing opportunities for learning and development, particularly in new and emerging topics. Stay ahead of the curve by continually advancing your knowledge and skills.</li></ul>
Our Commitment to Diversity
At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact.
We are guided by the pursuit of understanding and take pride in being able to provide meaningful solutions to our clients&rsquo; unique challenges. We bring our whole selves to work and strive to listen, observe, understand and be understood.
To learn more about our mission, values, and business sectors, please visit our website.<div></div>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</div>

[KSA] Senior Consultant

<div>Company Description 
Sia Partners is a next-generation global management consulting firm, founded in 1999 and headquartered in Paris, France. The firm is recognised for its innovative approach, combining strategy and management consulting with data science and creativity. Sia Partners serves a diverse range of sectors, including energy, banking, healthcare, and technology, providing services to over 1,000 clients worldwide, including many Fortune 500 companies. With a strong emphasis on delivering tangible results and superior value, Sia Partners is committed to helping clients navigate the digital revolution and achieve transformation. The firm operates with a global presence, employing over 3,500 consultants across 48 locations in 20 countries 
 
Our Mumbai office was launched in 2024, marking an exciting new chapter for us. We&rsquo;re building the team with people who are eager to shape something from the ground up &mdash; combining the agility and entrepreneurial energy of a startup with the backing and reach of a global brand. 
Job Description 
We are seeking a Staff Software Engineer / Staff GenAI Engineer to provide technical leadership in the design, development, and deployment of AI-driven platforms and products. This role combines hands-on engineering expertise with architectural ownership and client-facing consulting responsibilities.
Key Responsibilities<ul><li>
Lead the architecture, design, and development of scalable backend systems integrating machine learning and Generative AI models into production-grade applications.</li><li>
Drive end-to-end delivery of GenAI solutions, including LLM-based systems, RAG architectures, and agentic workflows, from experimentation to production.</li><li>
Design and implement agentic AI systems enabling multi-step reasoning, tool calling, memory management, and orchestration.</li><li>
Apply a strong understanding of machine learning techniques (regression, classification, clustering, decision trees, neural networks, probabilistic models) to solution design and implementation.</li><li>
Collaborate closely with data scientists to train, fine-tune, evaluate, and deploy ML/AI models, ensuring reliability and performance at scale.</li><li>
Work with structured and unstructured data sources, designing efficient data pipelines and storage strategies.</li><li>
Lead development of backend microservices and APIs supporting AI-driven applications.</li><li>
Ensure production readiness of AI systems, including performance optimization, monitoring, cost control, and security.</li><li>
Define cloud-native deployment strategies for AI solutions on AWS, Azure, and GCP.</li><li>
Establish containerized deployment standards using Docker and Kubernetes across development and production environments.</li><li>
Oversee data architecture, performance, and integrity across SQL and NoSQL databases (PostgreSQL, MongoDB).</li><li>
Implement monitoring and logging frameworks to ensure reliability, observability, and operational excellence of AI systems.</li><li>
Lead the development of AI-powered SaaS products within the Heka.ai platforms.</li></ul>
Tactical &amp; cross-team leadership<ul><li>
Be a DRI for major architectural initiatives and blueprints; own design docs and migration plans.</li><li>
Maintain ownership of triage and incident prioritization; advocate severity/priority to stakeholders.</li><li>
Serve as a maintainer/owner for multiple critical repositories, tech stacks, or services.</li><li>
Mentor engineers formally; grow others via code reviews, pairing, and career coaching.</li><li>
Break down large efforts into epics and MVCs; coordinate cross-team delivery.</li><li>
Facilitate or lead working groups for cross-cutting initiatives (performance, APIs, security, standards).</li><li>
Represent your group to leadership: engineering allocation, reliability status, and iteration health.</li><li>
Participate in hiring: design interviews, assess candidates, and recommend bias-reduction improvements.</li><li>
Participate in Diversity, Inclusion &amp; Belonging initiatives and mentorship programs</li></ul> 
Qualifications 
<ul><li>
Education: Bachelor&rsquo;s/master's degree in computer science, Software Engineering, or a related field.</li><li>
Experience &amp; Technical Skills :</li><li>
8+ years of experience 8+ years of experience in software engineering, with strong backend expertise in Python and GenAI Exposure.</li><li>
Proven experience delivering AI/ML or Generative AI systems in production environments.</li><li>
Familiarity with gen Ai frameworks like Lang chain, Google ADK and other Agent development Kits.</li><li>
Strong knowledge of cloud-native architectures, microservices, and distributed systems.</li><li>
Hands-on expertise with Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code (Terraform).</li><li>
Experience with PostgreSQL, MongoDB, or equivalent databases.</li><li>
AI-Native Engineering: Experience utilize Cursor, GitHub Copilot, or Claude Code as a core part of their daily workflow.</li><li>
Ability to operate in client-facing environments and communicate complex technical concepts clearly.</li><li>
Experience mentoring or leading technical teams is preferred.</li></ul>
Staff Engineer Traits (What Success Looks Like)<ul><li>
Thinks in systems, not just features.</li><li>
Acts as a force multiplier for technical teams.</li><li>
Drives clarity in ambiguous technical situations.</li><li>
Chooses long-term maintainability over short-term hacks.</li><li>
Communicates complex ideas with precision and calm authority.</li><li>
Leads through technical credibility, not hierarchy.</li></ul> 
Additional Information 
What We Offer<ul><li>
Opportunity to lead cutting-edge AI projects in a global consulting environment.</li><li>
Leadership development programs and training sessions at our global centers.</li><li>
A dynamic and collaborative team environment with diverse projects.</li></ul>
Position based in Mumbai (onsite)<div></div>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</div>

Staff GenAI Engineer

<div>Company Description 
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity, and driven by responsibility. We&rsquo;re optimists for change and we help clients initiate, navigate, and benefit from transformation. We believe optimism is a force multiplier, helping clients mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our consultants serve clients worldwide. Our expertise delivers results. Our optimism transforms outcomes. 
Job Description 
We are seeking a high-impact Senior Applied Data Scientist to join our team, where you will bridge the gap between advanced mathematical modeling and tangible business value. You will lead the design and implementation of sophisticated analytical solutions that solve complex problems for our global clients.
In this role, you will act as a strategic partner, working alongside consultants and engineers to translate business requirements into scalable data products. Unlike theoretical research, your focus will be applied&mdash;meaning you will be responsible for the end-to-end lifecycle of a model, from exploratory data analysis and feature engineering to production-grade deployment and monitoring.
You are not just a model builder; you are a problem solver who understands the &quot;why&quot; behind the data. You will navigate the nuances of predictive analytics, causal inference, and optimization to ensure our clients reach their transformation goals with precision and efficiency. We invest in your growth by providing access to cutting-edge tools, global centers of excellence, and a collaborative environment where technical rigor meets business strategy. 
Key Responsibilities<ul><li>
End-to-End ML Development: Lead the discovery, development, and deployment of machine learning models (Regression, Classification, Clustering, Time-Series Forecasting) to solve industry-specific challenges.</li><li>
Business Translation: Work closely with stakeholders to identify high-value use cases and translate vague business problems into concrete technical roadmaps.</li><li>
Data Engineering &amp; Wrangling: Design and optimize data pipelines and feature stores, ensuring data quality and integrity across diverse environments (SQL, NoSQL, Data Lakes).</li><li>
Advanced Analytics: Apply statistical rigor to experimental design, including A/B testing and causal inference, to validate the impact of business interventions.</li><li>
Model Productization: Partner with ML Engineers to implement MLOps best practices, including versioning, automated testing, and CI/CD for model deployment.</li><li>
Scalable Architecture: Design robust, reusable analytical frameworks that can be scaled across different client engagements or internal Sia products.</li><li>
Stakeholder Management: Communicate complex technical findings to non-technical executive audiences through compelling storytelling and data visualization.</li><li>
Mentorship: Act as a technical lead, providing code reviews, architectural guidance, and mentorship to junior data scientists within the team.</li><li>
Innovation: Stay at the forefront of the field, evaluating and integrating emerging techniques in Deep Learning, Reinforcement Learning, or Optimization into the Sia toolkits.</li></ul> 
Qualifications 
<ul><li>
Education: Master&rsquo;s or PhD in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or Physics.</li><li>
Experience: 6+ years of professional experience in Data Science, with a proven track record of deploying models into production environments.</li><li>
Core Tech Stack: Expert-level proficiency in Python and its ecosystem (Pandas, NumPy, Scikit-Learn, XGBoost/LightGBM).</li><li>
Deep Learning: Hands-on experience with frameworks like PyTorch or TensorFlow.</li><li>
Cloud Proficiency: Strong experience with cloud-based AI/ML platforms (AWS SageMaker, Azure ML, or Google Vertex AI).</li><li>
AI-Native Engineering Leadership: Experience managing teams that utilize Cursor, GitHub Copilot, or Claude Code as a core part of their daily workflow.</li><li>
Data Manipulation: Advanced SQL skills and experience with big data technologies (Spark, Databricks, or Snowflake).</li><li>
DevOps/MLOps: Familiarity with Docker, Kubernetes, and Git-based workflows.</li><li>
Consulting Mindset: Excellent communication skills with the ability to navigate fast-paced, client-facing environments and manage multiple priorities.</li><li>
Problem Solving: A sharp analytical mind capable of breaking down complex, ambiguous problems into executable steps.</li></ul> 
Additional Information 
What Success Looks Like<ul><li>
Thinks in systems, not just features.</li><li>
Acts as a force multiplier for technical teams.</li><li>
Drives clarity in ambiguous technical situations.</li><li>
Chooses long-term maintainability over short-term hacks.</li><li>
Communicates complex ideas with precision and calm authority.</li><li>
Leads through technical credibility, not hierarchy.</li></ul> 
What We Offer<ul><li>
Opportunity to lead cutting-edge AI projects in a global consulting environment.</li><li>
A dynamic and collaborative team environment with diverse projects.</li></ul><div></div>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</div>

Senior Applied Data Scientist

<div>Company Description 
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity, and driven by responsibility. We&rsquo;re optimists for change and we help clients initiate, navigate, and benefit from transformation. We believe optimism is a force multiplier, helping clients mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our consultants serve clients worldwide. Our expertise delivers results. Our optimism transforms outcomes. 
Job Description 
Sia Partners is looking for a Platform Engineering Manager to support the design and delivery of next-generation AI and Generative AI platforms within Sia&rsquo;s AI Factory. This role is pivotal in bridging high-level product vision with robust, cloud-native engineering execution.
As a Platform Engineering Manager, you will be responsible for building and evolving internal development and MLOps platforms that improve automation, scalability, reliability, and developer productivity. You will operate as a player-coach, combining hands-on technical leadership with people management and strategic ownership.
This is a product-focused role, working closely with product managers, data scientists, ML engineers, application engineers, and security teams to deliver platform capabilities that directly support AI, data, and software workloads 
Key Responsibilities<ul><li>
Leadership of Platform / DevOps / SRE engineering teams, ensuring delivery excellence and strong engineering culture</li><li>
Ownership of internal platform products, working closely with product, application, and data engineering teams to deliver scalable, reliable, and secure platform capabilities.</li><li>
Support to Data Scientists, ML Engineers, Data Engineers, and Software Engineers by providing reliable, scalable, and easy-to-use platform services</li><li>
Definition and execution of the platform engineering strategy and roadmap, aligned with business and delivery objectives</li><li>
Development and operation of internal developer platforms enabling automation, self-service, and scalability</li><li>
Support to Data Scientists, Data Engineers, and Software Engineers by providing reliable, secure, and scalable platforms</li><li>
Cloud services: architecture and operations across AWS, Azure, and GCP, including compute, storage, networking, access management, cost monitoring, and cost optimization</li><li>
Infrastructure as Code: design, standardization, and governance using Terraform</li><li>
Containers: containerization and orchestration of applications using Docker and Kubernetes, including Kubernetes platform ownership</li><li>
CI/CD: definition and standardization of continuous integration and deployment pipelines</li><li>
Observability &amp; reliability: monitoring, logging, alerting, and application of SRE principles to ensure availability, performance, and resilience</li><li>
Contribution to technological, architectural, and governance decisions to address the challenges of scaling AI and data platforms</li><li>
Collaboration with product, application, data, and security teams to gather requirements and deliver platform capabilities</li><li>
Planning and management of platform initiatives, including timelines, resourcing, and budget oversight</li><li>
Mentoring engineers and fostering knowledge sharing and continuous improvement.</li></ul> 
Qualifications<ul><li> 
Experience: 8+ years of experience in the data/software space, with at least 3+ years in a formal people management or technical leadership role leading Data Science or ML teams.</li><li>
Strong hands-on experience with cloud platforms (AWS, Azure, and/or GCP)</li><li>
Strong expertise in Infrastructure as Code, preferably Terraform</li><li>
Solid experience with Docker and Kubernetes</li><li>
Experience designing and operating CI/CD pipelines</li><li>
Proficiency in Python scripting and strong Linux fundamentals</li><li>
Good understanding of SRE principles, reliability, scalability, and security best practices</li><li>
AI-Native Engineering Leadership: Experience managing teams that utilize Cursor, GitHub Copilot, or Claude Code as a core part of their daily workflow.</li><li>
Strong communication, leadership, and stakeholder management skills</li><li>
Fluency in English, written and spoken.</li></ul> 
Additional Information 
What Success Looks Like<ul><li>
Platform Ownership: Treats platform capabilities as long-lived products, not one-off infra projects.</li><li>
Enablement Mindset: Measures success by how effectively product teams ship using the platform.</li><li>
Strong Technical Judgment: Understands platform trade-offs across scalability, reliability, security, and cost.</li><li>
Production Readiness: Ensures platforms are production-grade (deployment, monitoring, rollback, lifecycle).</li><li>
Reliability &amp; Operations: Owns uptime, incident response, post-mortems, and continuous improvement.</li><li>
Developer Experience: Reduces friction in CI/CD, environments, tooling, and self-service workflows.</li><li>
Cost &amp; Efficiency Awareness: Balances performance with cloud and compute cost optimization</li><li>
Roadmap &amp; Prioritization: Aligns platform roadmap with product needs and AI Factory growth.</li><li>
Team Leadership: Builds and grows strong platform, DevOps, and infra engineers.</li><li>
Calm Ownership: Leads with clarity and accountability during incidents and scale challenges.</li></ul> 
What We Offer<ul><li>
Opportunity to lead cutting-edge AI projects in a global consulting environment.</li><li>
A dynamic and collaborative team environment with diverse projects.</li></ul><div></div>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</div>

Platform Engineering Manager

<div>Company Description 
Sia Partners is a next-generation global management consulting firm, founded in 1999 and headquartered in Paris, France. The firm is recognised for its innovative approach, combining strategy and management consulting with data science and creativity. Sia Partners serves a diverse range of sectors, including energy, banking, healthcare, and technology, providing services to over 1,000 clients worldwide, including many Fortune 500 companies. With a strong emphasis on delivering tangible results and superior value, Sia Partners is committed to helping clients navigate the digital revolution and achieve transformation. The firm operates with a global presence, employing over 3,500 consultants across 48 locations in 20 countries 
 
Our Mumbai office was launched in 2024, marking an exciting new chapter for us. We&rsquo;re building the team with people who are eager to shape something from the ground up &mdash; combining the agility and entrepreneurial energy of a startup with the backing and reach of a global brand. 
Job Description 
Sia Partners is looking for an Engineering Manager &ndash; AI Platforms to support the design and delivery of next-generation AI and Generative AI platforms within Sia&rsquo;s AI Factory. This role is pivotal in bridging high-level product vision with robust, cloud-native engineering execution.
As an Engineering Manager, you will serve as the bridge between Data Science research and production-grade software engineering. You will be responsible for the health, growth, and delivery of a cross-functional team, ensuring that our data-driven AI services are scalable, secure, and seamlessly integrated into our global consulting framework. You will not only guide the technical architecture of our Large Language Model (LLM) platforms but also foster a culture of scientific excellence, rapid experimentation, and professional development.
Your leadership will ensure that Sia remains at the forefront of the AI landscape, transforming complex statistical models and algorithms into robust, platform-centric solutions that deliver measurable value to our clients worldwide.
Key Responsibilities<ul><li>
Team Leadership &amp; Mentoring: Manage, coach, and grow a team of Software Engineers, ML &amp; GenAI Engineers. Conduct performance reviews, define career paths, and foster an inclusive environment that encourages innovation in algorithmic design and deployment.</li><li>
Platform Strategy: Own the roadmap for Sia&rsquo;s AI Platforms, evolving them from experimental models to enterprise-grade foundations that support RAG, agentic workflows, and automated model fine-tuning at scale.</li><li>
Data Science Excellence: Oversee the development of scalable machine learning workflows, ensuring best practices in statistical rigor, model validation, and the transition from research notebooks to production-ready code.</li><li>
MLOps &amp; GenAIOps Governance: Drive the adoption of robust MLOps pipelines (CI/CD, model monitoring, drift detection) to ensure the reliability and observability of deployed Data Science models.</li><li>
Cross-Functional Collaboration: Partner with Lead Data Scientists, Product Managers, and Cloud Architects to align technical execution with business objectives and client needs.</li><li>
Technical Oversight: Provide architectural guidance and conduct reviews for complex AI integrations involving vector databases, orchestrators (LangChain, LlamaIndex), and multi-cloud environments.</li><li>
Security &amp; Compliance: Ensure all AI platforms adhere to global security standards (GDPR, SOC2) and implement Responsible AI guardrails to mitigate bias and ensure data privacy in model training and inference.</li><li>
Stakeholder Communication: Act as a technical advocate, translating complex Data Science and platform capabilities into clear, value-driven insights for executive leadership.</li></ul> 
Qualifications<ul><li> 
Experience: 8+ years of experience in the data/software space, with at least 3+ years in a formal people management or technical leadership role leading Data Science or ML teams.</li><li>
Data Science Mastery: Deep understanding of the Data Science lifecycle, including exploratory data analysis, feature engineering, and advanced modeling techniques (Deep Learning, NLP, etc.).</li><li>
AI/GenAI Depth: Hands-on experience building and scaling applications powered by LLMs (OpenAI, Claude, Llama) and implementing complex RAG architectures.</li><li>
Platform Expertise: Proven track record with Kubernetes, Docker, and cloud-native AI services (AWS Bedrock/SageMaker, Azure AI, or Google Vertex AI).</li><li>
Infrastructure: Solid understanding of vector databases (Milvus, Pinecone, Weaviate) and distributed system design for large-scale data processing.</li><li>
Management Skills: Strong experience in Agile/Scrum methodologies, capacity planning, and managing globally distributed teams.</li><li>
AI-Native Engineering Leadership: Experience managing teams that utilize Cursor, GitHub Copilot, or Claude Code as a core part of their daily workflow.</li><li>
Education: Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, AI, or a related quantitative field.</li><li>
Soft Skills: Exceptional emotional intelligence, conflict resolution, and the ability to inspire a team during rapid technological shifts.</li></ul> 
EM - Product Traits (What Success Looks Like)<ul><li>
Platform Ownership: Owns AI platform foundations (infra, tooling, pipelines) as long-lived products</li><li>
Enablement First: Measures success by how fast and safely product teams ship using the platform</li><li>
Technical Depth: Understands AI/ML platform trade-offs (compute, latency, cost, scalability, security)</li><li>
Production Readiness: Ensures platforms support model productionization, monitoring, and lifecycle management</li><li>
Reliability &amp; Scale: Drives uptime, resilience, and performance for multi-team AI workloads</li><li>
Developer Experience: Reduces friction in CI/CD, environments, experimentation, and deployments</li><li>
Cost &amp; Efficiency Awareness: Balances performance with cloud and compute cost controls</li><li>
Cross-Team Alignment: Works closely with Product EMs, Staff Engineers, and DevOps to align platform roadmaps</li><li>
Team Leadership: Builds and grows strong platform, DevOps, and ML-infra engineers</li><li>
Calm Ownership: Leads with clarity and accountability during incidents and scaling challenges</li></ul> 
Additional Information 
What We Offer<ul><li>
Opportunity to lead cutting-edge AI projects in a global consulting environment.</li><li>
Leadership development programs and training sessions at our global centers.</li><li>
A dynamic and collaborative team environment with diverse projects.</li></ul>
Position based in Mumbai (onsite)<div></div>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</div>

Engineering Manager – AI Platforms

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