machine learning architect

Zoolatech

<div><div><div><div><div><div><div><div><b>OVERVIEW</b></div>
</div><div><div>RESPONSIBILITIES</div>
</div><div><div>REQUIREMENTS</div>
</div></div></div></div><div><div><div><p>The global jewelry manufacturer and retailer is seeking a highly experienced Machine Learning Architect to define and lead the architectural vision for the applied ML ecosystem. This role focuses on driving forecasting, predictive modeling, and production-grade MLOps capabilities across the organization. You will shape the next-generation ML platforms, ensuring that forecasting, optimization, and decision-intelligence use cases are robust, scalable, and seamlessly integrated into the global retail environment.</p><p>
As a senior ML leader, you will collaborate across engineering, data, supply chain, merchandising, and digital functions to establish best‑in‑class ML patterns, champion model lifecycle excellence, and advance Pandora&rsquo;s enterprise ML maturity.</p>
</div><div><p><b>Strategic ML Vision &amp; Roadmapping</b></p><ul><li><p>
Guide ML direction across forecasting, optimisation, recommendations, and predictive analytics.</p></li><li><p>
Translate industry trends in time-series modelling, probabilistic forecasting, causal ML, feature stores, and MLOps automation into actionable architectural strategies.</p></li><li><p>
Align ML ecosystem development with business priorities across merchandising, supply chain, operations, and omnichannel retail.</p></li></ul><p><b>
Solution Architecture for Applied ML</b></p><ul><li><p>
Lead the design and architecture of ML systems, including forecasting pipelines, demand/sales/promotions prediction models, anomaly detection systems, and real-time scoring services.</p></li><li><p>
Partner with engineering and AI &amp; Data platforms teams to ensure models integrate into operational systems with robust SLAs and monitoring.</p></li><li><p>
Define reference architectures for traditional ML, deep learning, and time-series forecasting.</p></li></ul><p><b>
MLOps &amp; ML Platform Leadership</b></p><ul><li><p>
Architect end-to-end MLOps pipelines covering training, evaluation, deployment, and monitoring for high-scale model fleets.</p></li><li><p>
Ensure reproducibility, CI/CD for ML, automated retraining, feature store integration, and governance of model lineage.</p></li><li><p>
Drive platform choices and integrations (e.g., Databricks, Fabric, MLflow, Kubernetes-based serving).</p></li></ul><p><b>
Integration of ML SaaS &amp; Build-vs-Buy Evaluation</b></p><ul><li><p>
Evaluate third-party forecasting and ML SaaS solutions and guide integration into internal systems.</p></li><li><p>
Lead architectural assessments and drive decisions on build vs buy for ML capabilities.</p></li></ul><p><b>
Governance, Quality, and Operational Excellence</b></p><ul><li><p>
Define and enforce architectural and MLOps standards that ensure models meet NFRs such as accuracy, performance, fairness, reliability, and explainability.</p></li><li><p>
Champion ML governance, including model risk management, bias detection, privacy compliance, and ethical AI.</p></li></ul><p><b>
Collaboration Across Engineering, Data &amp; Business</b></p><ul><li><p>
Work closely with the Data &amp; AI Platform, retail analytics, supply chain and merchandising teams to ensure ML solutions are scalable and production-ready.</p></li><li><p>
Align model design with data pipelines, real-time event streaming, microservices, and operational workflows.</p></li></ul><p><b>
Hands-On Technical Leadership</b></p><ul><li><p>
Provide hands-on support (~20% time) for prototype forecasting models, PoCs, architecture spikes, and code reviews.</p></li><li><p>
Mentor engineers and data scientists on best practices in ML architecture and MLOps.</p></li></ul>
</div><div><p><b>Experience</b></p><ul><li><p>
Extensive experience designing and deploying ML architectures, including forecasting, predictive modelling, and MLOps.</p></li><li><p>
Strong background in traditional ML, time-series modelling, and ML productionisation at enterprise scale.</p></li><li><p>
Prior experience as an ML Architect, Solutions Architect, Machine Learning Engineer, or similar senior role.</p></li></ul><p><b>
Technical Skills</b></p><ul><li><p>
Expertise with forecasting frameworks (e.g., Prophet, ARIMA, DeepAR, TFT, custom deep learning forecasting architectures).</p></li><li><p>
Strong understanding of ML lifecycle management, feature stores, ML observability, and performance optimisation.</p></li><li><p>
Hands-on experience with:</p><ul><li><p>
Cloud ML platforms (Azure preferred)</p></li><li><p>
Databricks, Fabric, Spark</p></li><li><p>
MLOps frameworks (MLflow, CI/CD pipelines, containerisation, serving patterns)</p></li><li><p>
Infrastructure as Code (Terraform, ARM/Bicep)</p></li><li><p>
Event-driven and microservices architectures for real-time inference</p></li></ul></li></ul><p><b>
Soft Skills</b></p><ul><li><p>
Excellent communicator able to bridge ML complexity with business and engineering clarity.</p></li><li><p>
Strong leadership presence, enabling cross-functional alignment and influencing strategic decisions.</p></li></ul><p><b>
Additional Skills</b></p><ul><li><p>
Azure / AWS / GCP ML or AI certifications.</p></li><li><p>
Experience with ML governance, risk management, explainability, and cost-optimised ML architectures.</p></li></ul>
</div></div></div><div><div><div><div><p>Location:
</p><div>Istanbul, Turkey
</div></div><div><p>Seniority:
</p><div>Senior
</div></div><div><p>Technologies:
</p><div>Machine Learning
</div></div></div></div><div><div><p>Benefits:
</p><ul><li><b>Paid Vacation
</b></li><li><b>Hybrid Work (home/office)
</b></li><li><b>Sick Days
</b></li><li><b>Sport/Insurance Compensation
</b></li><li><b>Holidays Day Off
</b></li><li><b>English Classes
</b></li><li><b>Training Compensation
</b></li><li><b>Transportation compensation</b></li></ul></div></div></div></div></div></div>

ML Architect – AI & Automation

ABIS

<div><p>ABIS is looking for a skilled and innovative Data and AI Architect - SMP to join our team and lead the design and implementation of data-driven solutions. In this role, you will be responsible for creating scalable and efficient data architectures that support AI and machine learning initiatives. You will collaborate with cross-functional teams to define architecture standards, data governance policies, and best practices for data management. Your expertise in data modeling, cloud technologies, and AI frameworks will be essential in shaping our strategy to leverage data as a key asset for business decision-making and operational efficiency. If you are passionate about harnessing the power of data and artificial intelligence to drive business transformation, we invite you to join us at ABIS.</p><h3 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h3><ul>
<li>Design and implement robust data architectures that support AI and analytics initiatives.</li>
<li>Collaborate with data engineers, data scientists, and business stakeholders to identify data needs and create solutions that deliver business value.</li>
<li>Define data governance and management best practices to ensure data quality, security, and compliance.</li>
<li>Evaluate and select appropriate technologies and tools for data processing and AI model development.</li>
<li>Lead the integration of data from diverse sources into a unified data platform.</li>
<li>Develop and maintain documentation related to data architecture and design standards.</li>
<li>Stay updated on industry trends and advancements in data technologies and AI.</li>
</ul><p><b>
Requirements</b></p><ul>
<li>
Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field.</li>
<li>+15 Years Experince.
</li><li>Proven experience in data architecture and design, particularly in AI and machine learning contexts.</li>
<li>Strong knowledge of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and data management tools.</li>
<li>Experience with data modeling, ETL processes, and data warehousing solutions.</li>
<li>Familiarity with AI frameworks (e.g., TensorFlow, PyTorch) and machine learning algorithms.</li>
<li>Excellent analytical and problem-solving skills, with a focus on delivering business value.</li>
<li>Strong communication skills to effectively collaborate with technical and non-technical stakeholders.</li></ul></div>

Data and AI Architect - SMP

Nagarro

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 Design and deliver
 <strong>
  enterprise-grade AI solutions
 </strong>
 across LLM, ML, and knowledge engineering domains. Work with engineering teams to build
 <strong>
  scalable, secure, and cloud-native AI architectures
 </strong>
 aligned with enterprise standards.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Architect solutions for LLM agents, RAG pipelines, Conversational AI, AI search, and knowledge systems.
  </li>
  <li>
   Design cloud-native AI platforms on Azure with serverless endpoints, GPU autoscaling, and distributed compute.
  </li>
  <li>
   Implement vector databases with advanced indexing and low-latency retrieval.
  </li>
  <li>
   Translate business vision into secure, compliant AI architectures with monitoring, RBAC, and explainability.
  </li>
  <li>
   Collaborate with stakeholders and communicate technical decisions clearly.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Must-Have Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   AI Application Solution Design
  </li>
  <li>
   Cloud-Native GenAI Development
  </li>
  <li>
   Data Science on Azure
  </li>
  <li>
   Machine Learning Solution Design
  </li>
  <li>
   Advanced RAG Workflow
  </li>
  <li>
   Hands-on Python and experience with agentic GenAI systems
   <br/>
   <br/>
  </li>
 </ul>
 Arabic proficiency is a plus.
</div>


AI Solution Architect

10Pearls

<div><p>Company Overview</p><p>
10Pearls is an end-to-end digital technology services partner helping businesses utilize technology as a competitive advantage. We help our customers digitalize their existing business, build innovative new products, and augment their existing teams with high-performance team members. Our broad expertise in product management, user experience/design, cloud architecture, software development, data insights and intelligence, cybersecurity, emerging tech, and quality assurance ensures that we are delivering solutions that address business needs. 10Pearls is proud to have a diverse clientele including large enterprises, SMBs, and high-growth startups. We work with clients across industries, including healthcare/life sciences, education, energy, communications/media, financial services, and hi-tech. Our many long-term, successful partnerships are built upon trust, integrity, and successful delivery and execution.</p><p>
Role</p><p>
As an AI Architect in the oil and gas sector, you will design, implement, and oversee AI systems that enhance operational efficiency, optimize production, and drive innovation. Your role focuses on defining the architecture for AI and machine learning solutions, ensuring scalability, reliability, and alignment with business objectives.</p><p>
Responsibilities</p><ul><li><p>
Define the AI strategy and architecture to address business needs across exploration, production, and operational domains.</p></li><li><p>
Develop roadmaps for integrating AI into existing systems, focusing on scalability and long-term sustainability.</p></li><li><p>
Identify and prioritize AI use cases, such as predictive maintenance, reservoir modelling, and supply chain optimization.</p></li><li><p>
Design end-to-end architectures for machine learning pipelines, including data ingestion, model development, training, and deployment.</p></li><li><p>
Implement MLOps best practices for continuous integration, deployment, and monitoring of AI models.</p></li><li><p>
Implement AI explainability frameworks such as SHAP, LIME, and Explainable AI (XAI) to enhance transparency.</p></li><li><p>
Develop human-in-the-loop (HITL) AI systems for critical decision support in exploration and production.</p></li><li><p>
Design AI models with bias detection and fairness auditing mechanisms.</p></li><li><p>
Automate cloud-based AI model provisioning using infrastructure as code (IaC) principles.</p></li><li><p>
Select appropriate frameworks, libraries, and tools (e.g., TensorFlow, PyTorch, Scikit-learn) for AI development.</p></li><li><p>
Build scalable solutions using cloud platforms like AWS, Azure, or Google Cloud, leveraging tools such as Kubernetes and Docker for containerization.</p></li><li><p>
Establish data standards, pipelines, and governance policies to ensure high-quality input for AI models.</p></li><li><p>
Implement monitoring systems to track performance, retrain models as necessary, and maintain accuracy over time.</p></li><li><p>
Develop strategies to address bias, fairness, and ethical considerations in AI systems.</p></li><li><p>
Design AI solutions that integrate seamlessly with existing oil and gas technologies, such as SCADA systems, IoT sensors, and geophysical modelling tools.</p></li><li><p>
Develop AI models tailored to specific oil and gas applications, such as seismic data analysis, drilling optimisation, and production forecasting.</p></li><li><p>
Enable real-time analytics and decision support through edge computing and AI-enabled IoT systems.</p></li><li><p>
Stay current with the latest advancements in AI and recommend technologies that align with business objectives.</p></li><li><p>
Collaborate with data scientists, engineers, and business leaders to align technical solutions with operational goals.</p></li><li><p>
Guide teams in best practices for AI development, deployment, and maintenance.</p></li><li><p>
Ensure all AI systems comply with industry regulations and data privacy standards.</p></li><li><p>
Implement robust cybersecurity measures to protect sensitive data and AI systems from threats.</p></li><li><p>
Document architectures, workflows, and operational guidelines for transparency and compliance audits.</p></li></ul><p>
Requirements</p><ul><li><p>
Knowledge of deep learning, natural language processing, computer vision, and reinforcement learning techniques.</p></li><li><p>
Expertise in AWS, Azure, or Google Cloud for deploying AI solutions.</p></li><li><p>
Strong ability to work with multidisciplinary teams, including engineers, data scientists, and business stakeholders.</p></li><li><p>
Excellent ability to translate complex technical concepts into actionable business strategies.</p></li><li><p>
Design AI solutions to reduce downtime, optimise drilling accuracy, and improve production yields.</p></li><li><p>
Leverage tools such as Kubeflow, MLflow, and SageMaker Pipelines for end-to-end ML lifecycle management.</p></li><li><p>
Implement predictive analytics to prevent equipment failures and optimise resource allocation.</p></li><li><p>
Enable advanced applications like digital twins, automated geophysical analysis, and AI-driven reservoir modelling.</p></li><li><p>
Familiarity with data processing frameworks (e.g., Apache Spark, Hadoop).</p></li><li><p>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).</p></li><li><p>
8+ years of experience in AI/ML development, with at least 3 years in an architecture or leadership role.</p></li><li><p>
Strong understanding of oil and gas industry workflows and challenges.</p></li><li><p>
Expertise in AI/ML frameworks and big data technologies.</p></li><li><p>
Practical experience with a statistical programming language (e.g., Python, R) and applied machine learning techniques for AI model development.</p></li></ul><p></p><p>
</p><p>EH8cPOOutM</p></div>

AI Architect

Genpact

<p></p><div><div><div>Ready to build the future with AI?<br>
At Genpact, we don&rsquo;t just keep up with technology&mdash;we set the pace. AI and digital innovation are redefining industries, and we&rsquo;re leading the charge. Genpact&rsquo;s AI Gigafactory, our industry-first accelerator, is an example of how we&rsquo;re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies&rsquo; most complex challenges.<br>
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquo;s possible, this is your moment.<br>
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions &ndash; we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.<br>
Inviting applications for the role of Principal Consultant-Data Science Tech Lead<br>
We are seeking a highly experienced and visionary Data Science Architect to lead the design and implementation of scalable data science solutions across our organization. This role requires a strategic thinker with deep technical expertise in machine learning, data engineering, and analytics architecture. You will collaborate with cross-functional teams to drive innovation, optimize data workflows, and ensure the successful deployment of advanced analytics and AI solutions.<br>
Responsibilities<br>
<ul><li>Lead the design, development, and delivery of end‑to‑end data science solutions&mdash;from data preparation and feature engineering to model development, testing, deployment, and monitoring.</li><li>Collaborate with engineering, product, and business teams to translate requirements into practical AI/ML solutions.</li><li>Provide technical leadership in model development, experimentation, optimization, and performance tuning.</li><li>Work closely with data engineers, analysts, and business stakeholders to convert business problems into analytical solutions.</li><li>Establish best practices for coding standards, model versioning, reproducibility, and scalable ML development.</li><li>Mentor and guide data scientists and ML engineers through technical decisions, code reviews, and solution design.</li><li>Ensure high standards of data quality, model reliability, security, and compliance across all data science workflows.</li><li>Stay updated on emerging AI/ML technologies (including GenAI, LLMs, and advanced NLP techniques) and evaluate opportunities to integrate them.</li><li>Collaborate with engineering teams for smooth integration of ML models into applications and production environments</li></ul>
Qualifications we seek in you!<br>
Minimum Qualifications<br>
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Statistics, or a related field.</li><li>Experience in data science or applied machine learning, with at least 2 years in a technical lead role.</li><li>Strong hands‑on experience building, validating, deploying, and monitoring machine learning models in production.</li><li>Excellent programming skills in Python, R, or Scala and proficiency with ML frameworks such as TensorFlow, PyTorch, and Scikit‑learn.</li><li>Strong experience with GenAI, LLMs, or advanced NLP techniques; experience building GenAI or LLM-driven applications.</li><li>Familiarity with big data ecosystems like Spark, Kafka, Delta Lake, and the modern data stack.</li><li>Experience in product engineering and working in agile cross-functional teams.</li><li>Certifications in data science (if any) are a plus.</li><li>Excellent communication and stakeholder management skills.</li></ul></div><div>
Preferred Qualifications/ Skills<br>
<ul><li>Lead the design, development, and delivery of end‑to‑end data science solutions&mdash;from data preparation and feature engineering to model development, testing, deployment, and monitoring.</li><li>Collaborate with engineering, product, and business teams to translate requirements into practical AI/ML solutions.</li><li>Provide technical leadership in model development, experimentation, optimization, and performance tuning.</li><li>Work closely with data engineers, analysts, and business stakeholders to convert business problems into analytical solutions.</li><li>Establish best practices for coding standards, model versioning, reproducibility, and scalable ML development.</li><li>Mentor and guide data scientists and ML engineers through technical decisions, code reviews, and solution design.</li><li>Ensure high standards of data quality, model reliability, security, and compliance across all data science workflows.</li><li>Stay updated on emerging AI/ML technologies (including GenAI, LLMs, and advanced NLP techniques) and evaluate opportunities to integrate them.</li><li>Collaborate with engineering teams for smooth integration of ML models into applications and production environments</li></ul>
Why join Genpact?<br>
<ul><li>Lead AI-first transformation &ndash; Build and scale AI solutions that redefine industries</li><li>Make an impact &ndash; Drive change for global enterprises and solve business challenges that matter</li><li>Accelerate your career&mdash;Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills</li><li>Grow with the best &ndash; Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace</li><li>Committed to ethical AI &ndash; Work in an environment where governance, transparency, and security are at the core of everything we build</li><li>Thrive in a values-driven culture &ndash; Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress</li></ul>
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.<br>
Let&rsquo;s build tomorrow together.<br>
<br>
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.<br>
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.</div></div><p></p><p><br>
JobPrincipal Consultant</p><p>
Primary LocationIndia-Noida</p><p>
ScheduleFull-time</p><p>
Education LevelBachelor's / Graduation / Equivalent</p><p>
Job PostingFeb 18, 2026, 1:29:43 AM</p><p>
Unposting DateOngoing</p><p>
Master Skills ListDigital</p><p>
Job CategoryFull Time</p></div>

Principal Consultant-Data Science Tech Lead

Net2Source (N2S)

<div>
 <br/>
 <p>
  Job Title: Platform Architect
 </p>
 <p>
  Location: Oman
 </p>
 <p>
  Type: Full-Time
 </p>
 <p>
  <strong>
   About the Role:
  </strong>
 </p>
 <p>
  The AI Platform Architect is responsible for designing and guiding the technical infrastructure that supports AI initiatives across the organization. This role ensures the selection and integration of scalable, secure, and high-performance AI/ML platforms&amp;mdash;whether cloud-based or on-premise&amp;mdash;while avoiding vendor lock-in and maintaining access to cutting-edge capabilities.
 </p>
 <p>
  The architect supports the evaluation and onboarding of vendor ecosystems, advises on infrastructure decisions, and ensures seamless integration with data engineering and MLOps pipelines. This role is critical to enabling AI solutions to be robust, future-proof, and aligned with enterprise architecture standards.
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design and advise on the AI/ML system architecture, including cloud and on-premise infrastructure.
  </li>
  <li>
   Support the selection, onboarding, and engagement of AI platform vendors and ecosystems.
  </li>
  <li>
   Ensure platform scalability, performance, and security across AI use cases.
  </li>
  <li>
   Advise on infrastructure evaluation and integration strategies.
  </li>
  <li>
   Collaborate with data engineering and MLOps teams to ensure seamless deployment and operations.
  </li>
  <li>
   Prevent vendor lock-in while enabling access to advanced AI capabilities.
  </li>
  <li>
   Support solution capability development and infrastructure optimization.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications:
 </strong>
 <ul>
  <li>
   Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  </li>
  <li>
   Minimum 8 years of experience in AI/ML architecture and infrastructure design.
  </li>
  <li>
   Deep expertise in cloud platforms (AWS, Azure, GCP) and on-premise systems.
  </li>
  <li>
   Strong understanding of MLOps, data engineering, and integration frameworks.
  </li>
  <li>
   Proven experience in vendor evaluation, onboarding, and ecosystem management.
  </li>
  <li>
   Knowledge of infrastructure scalability, performance tuning, and security best practices.
  </li>
  <li>
   Excellent problem-solving, communication, and stakeholder engagement skills.
  </li>
 </ul>
 <strong>
  Thanks,
  <br/>
  Smriti
  <br/>
 </strong>
</div>


Platform Architect

YASH Technologies

<div></div><div><div><div><div><div>Date: Feb 21, 2026
</div></div></div></div><div><div><div><div>Job Requisition Id: 61483
</div></div></div></div><div><div><div><div>Location:
Hyderabad, TG, IN Pune, IN Pune, MH, IN Indore, MP, IN
</div></div></div></div><div></div><div><div><div><div><p>YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.</p><br>
<p></p>
<p>At YASH, we&rsquo;re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth &ndash; bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.</p><br>
<p></p>
<p><b>We are looking forward to hire AI/ML Professionals in the following areas :</b></p><br>
<p></p>
<p><b>
Designation: AI/ML Solution Architect</b></p>
<p><b>
Experience:</b> 11&ndash;14 Years<br>
<b>Job Type:</b> Full-time</p>
<p>
We are seeking a highly skilled and experienced Solution Architect specializing in Data Science and AI to join our dynamic team. This role is crucial in designing and implementing scalable, robust, and efficient AI and data science solutions that address complex business challenges. You will work closely with stakeholders, data scientists, engineers, and product teams to translate business requirements into technical architectures and roadmaps. Your expertise will drive the successful delivery of innovative AI-powered products and services.</p>
<p><b>
Responsibilities:</b></p>
<ul>
<li>Define solution architecture across data science and GenAI initiatives.</li>
<li>Translate business requirements into technical solutions.</li>
<li>Review design, scalability, performance, and compliance.</li>
<li>Act as bridge between business, engineering, and leadership.</li>
</ul>
<p><b>Required Skills:</b></p>
<ul>
<li>Experience in handling delivery.</li>
<li>Proven experience architecting cloud-native AI/ML/GenAI solutions.</li>
<li>Deep understanding of LLM architecture and GenAI orchestration.</li>
<li>Knowledge of graph databases, security best practices, cost optimization.</li>
<li>Excellent client communication and stakeholder alignment skills.</li></ul><br>
<p></p>
<p>At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.</p><br>
<p></p>
<p><b>Our Hyperlearning workplace is grounded upon four principles</b></p>
<ul><li>Flexible work arrangements, Free spirit, and emotional positivity</li>
<li>Agile self-determination, trust, transparency, and open collaboration</li>
<li>All Support needed for the realization of business goals,</li>
<li>Stable employment with a great atmosphere and ethical corporate culture</li></ul></div></div></div></div></div><p></p>

Lead Data Scientist - AI/ML

Search 10000+ Machine learning architect jobs near you this March. New roles added regularly across leading industries. Apply today.