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ai development consultant agentic environments

Faze 3 Consulting

Job Role: AI Development Consultant &ndash; Agentic EnvironmentsContract: 3 months (initial, with extension potential)NOTE: Candidates MUST hold a valid UAE freelance visa, golden visa, or sponsored visa with NOC (mandatory), and be available to start immediately.Location: Hybrid (Abu Dhabi onsite + remote collaboration)Industry: Marine / Offshore Services &amp; Digital TransformationThe Opportunity:We are looking for an experienced AI Development Consultant to join a pioneering program with one of the region&rsquo;s leading offshore services companies. Sponsored directly by the client&rsquo;s CIO, this role will put you at the forefront of building agentic AI environments that enhance decision-making, automate workflows, and enable next-generation digital transformation.This is a unique chance to apply your technical expertise in a high-impact enterprise setting, collaborating with internal teams and global technology partners to deliver real-world AI solutions.What You&rsquo;ll Do:<ul><li>Design and develop AI agents using modern frameworks (LangChain, LlamaIndex, etc.).</li><li>Build APIs, pipelines, and integrations to connect agents with enterprise systems and partner platforms.</li><li>Implement RAG (Retrieval-Augmented Generation) and manage vector databases for intelligent reasoning.</li><li>Prototype, test, and scale AI solutions from POC to production.</li><li>Work closely with the CIO&rsquo;s office, client IT team, and external suppliers to align architecture and delivery.</li><li>Share knowledge and mentor teams as client builds its internal AI capability.</li></ul>What We&rsquo;re Looking For:<ul><li>10+ years in software engineering, including 4-5 years in applied AI/ML.</li><li>Hands-on experience with:</li><li>Generative AI (OpenAI, Llama, Claude, etc.)</li><li>Agent frameworks and orchestration tools.</li><li>Python (primary language), with solid cloud/MLOps exposure.</li><li>Vector databases (e.g., Pinecone, Weaviate) and embeddings.</li><li>Track record of delivering enterprise-grade AI solutions in multi-vendor ecosystems.</li><li>Strong communication and collaboration skills &ndash; comfortable working with technical teams and senior business leaders.</li></ul>Bonus Skills:<ul><li>Reinforcement learning, multi-agent systems, or digital twins.</li><li>Familiarity with AI governance, ethics, and compliance frameworks.</li><li>Experience with enterprise workflow platforms.</li><li>Sector exposure in marine/offshore, logistics, or energy.</li></ul>Why Apply?<ul><li>Work directly with a forward-thinking leadership team.</li><li>Influence the early adoption of agentic AI in a global offshore services environment.</li><li>Collaborate with top-tier partners and suppliers on cutting-edge AI initiatives.</li></ul>If you&rsquo;re passionate about shaping the future of applied AI and want to build real-world agent environments in an enterprise context &mdash; we&rsquo;d love to hear from you.Job Types: Full-time, Contract Contract length: 3 months

AI Development Consultant – Agentic Environments

TAT IT Technolgies

<div>
 
 Urgent requirement for Data Scientist AI/ML with Banking Experience Required is required for our banking clients in Abu Dhabi ,UAE
 
 
 
 <ul>
 <li>
 Minimum 5 years in AI/ML roles
 </li>
 <li>
 Proven ability to design, develop, and deploy advanced machine learning models for diverse, real-world business applications.
 </li>
 <li>
 Strong background in model experimentation, validation, and performance optimization using industry-standard techniques.
 </li>
 <li>
 Hands-on experience conducting A/B testing and deriving statistically sound insights to inform model and product decisions.
 </li>
 <li>
 Deep expertise in building and fine-tuning generative AI models tailored to specific use cases and business objectives.
 </li>
 <li>
 Practical experience implementing Retrieval-Augmented Generation (RAG) and agentic workflows in production environments.
 </li>
 <li>
 Skilled in prompt engineering&mdash;designing, testing, and refining prompts to maximize the effectiveness of large language models (LLMs).
 </li>
 <li>
 Proficient in developing and managing end-to-end machine learning pipelines using platforms such as Azure ML or AWS SageMaker.
 </li>
 <li>
 Solid understanding of cloud-based data storage and processing, including Azure Blob Storage, Tables, Queues, and Amazon S3.
 </li>
 <li>
 Experience deploying and integrating Azure Foundation Models and Azure OpenAI services into enterprise applications.
 </li>
 <li>
 Familiarity with containerization and DevOps practices, including Docker and CI/CD pipelines, for scalable and automated deployments.
 </li>
 <li>
 Advanced programming skills in Python, with a focus on clean, efficient, and maintainable code for AI/ML development.
 
 
 </li>
 </ul>
 Skills: ml,bank,ai
</div>

Data Scientist AI/ML with Banking Experience

NorthBay Solutions

<div>Job Title: Technology Lead/Architect &ndash; AI/ML &amp; GenAI 
Experience: 12+ Years 
Location: Abu Dhabi, UAE 
Employment Type: Full-time<h3 class="jobSectionHeader"> 
About the Role</h3>
NorthBay Solutions is seeking an accomplished GenAI Technology Lead/Architect with a strong track record in Generative AI (GenAI), AI/ML, and enterprise architecture. This role is ideal for a senior professional who can design and deliver AI-powered enterprise solutions, lead multidisciplinary teams, and drive innovation across cloud, on-premises, and hybrid environments.
You will be the technical authority for GenAI-driven initiatives, ensuring successful delivery of scalable and production-ready AI/ML applications while aligning with enterprise business needs.<h3 class="jobSectionHeader"> 
Core Responsibilities</h3><ul><li>
Architect and deliver end-to-end AI/ML and GenAI solutions integrating with existing enterprise systems.</li><li>
Lead a team of 8&ndash;12 engineers across AI/ML, full-stack, and DevOps disciplines in Agile environments.</li><li>
Drive technical decision-making across infrastructure, APIs, microservices, databases, and AI platforms.</li><li>
Ensure successful deployment and scaling of AI solutions across on-premises, cloud, and hybrid architectures.</li><li>
Act as a trusted advisor to business stakeholders, bridging technical depth with strategic vision.</li></ul><h3 class="jobSectionHeader"> 
Technical Expertise Required</h3><h4 class="jobSectionHeader">
Generative AI Leadership (3+ Years) &ndash; PRIMARY</h4><ul><li>
Expert-level experience with LLMs (LLaMA, Mistral, GPT, etc.), including fine-tuning and deployment.</li><li>
Strong hands-on work with Agentic AI, multi-agent systems, and RAG implementations.</li><li>
Proficiency with vector databases, LangChain, LangGraph, and modern GenAI toolchains.</li><li>
Expertise in advanced prompt engineering and Chain-of-Thought techniques.</li><li>
Proven track record delivering 3+ production-grade GenAI applications.</li></ul><h4 class="jobSectionHeader">
AI/ML Foundation (4&ndash;5 Years)</h4><ul><li>
Hands-on experience with Python, TensorFlow, and PyTorch for building production ML systems.</li><li>
Full lifecycle management of ML models, from development to monitoring in production.</li><li>
Seamless integration of AI/ML models into enterprise-grade applications and platforms.</li></ul><h4 class="jobSectionHeader">
Enterprise Architecture &amp; Deployment (8+ Years)</h4><ul><li>
Strong background in full-stack development (MERN stack or equivalent).</li><li>
Deployment expertise across on-premises, cloud, and hybrid environments.</li><li>
Advanced Kubernetes skills for orchestration and scaling.</li><li>
Database expertise in SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB).</li><li>
Proven ability to design and manage APIs and microservices (REST, GraphQL).</li><li>
DevOps proficiency with Docker, CI/CD pipelines, and infrastructure automation.</li></ul><h4 class="jobSectionHeader">
Cloud &amp; Infrastructure</h4><ul><li>
Deep knowledge of AWS, Azure, or GCP with ML/AI services.</li><li>
AWS expertise highly valued: SageMaker, Bedrock, Lambda, API Gateway.</li><li>
Strong grasp of hybrid cloud architectures integrating AI/ML workloads.</li></ul><h3 class="jobSectionHeader"> 
Proven Delivery</h3><ul><li>
7+ enterprise-scale projects successfully delivered in AI/ML and enterprise systems.</li><li>
Demonstrated team leadership experience with measurable outcomes.</li><li>
Strong focus on delivery excellence, scalability, and long-term maintainability.</li></ul><h3 class="jobSectionHeader"> 
Requirements</h3><ul><li>
(Preferred) Certifications in AWS/Azure/GCP (Solutions Architect, ML Specialty).</li><li>
Excellent communication and stakeholder management skills.</li><li>
Solid experience in Agile/Scrum leadership, driving productivity and team performance.</li></ul><h3 class="jobSectionHeader"> 
Ideal Candidate Profile</h3><ul><li>
Priority expertise:<ul><li>
Generative AI Leadership</li><li>
AI/ML Foundation</li><li>
Enterprise Architecture &amp; Hybrid Deployments</li></ul></li><li>
A strategic leader with hands-on depth, able to innovate, mentor, and deliver at scale.</li></ul>
1gu8Cqp31g</div>

GenAI & AgenticAI Architect - AbuDhabi

Tavily

<div><h1 class="jobSectionHeader">About Tavily</h1>
We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent &mdash; but also informed.
We work with some of the most innovative teams in AI &mdash; from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it&rsquo;s powering sales assistants, research copilots, or internal knowledge tools, we&rsquo;re the missing link between LLMs and the real world.<h1 class="jobSectionHeader"> 
The Role: Tech Lead (Abu Dhabi, On-Site)</h1>
We&rsquo;re looking for a Tech Lead to join Tavily and establish our new office in Abu Dhabi. You&rsquo;ll lead a growing team of around 12 technical professionals and play a central role in building the foundation for Tavily&rsquo;s operations in the region.
This is a high-impact leadership role for someone with deep technical expertise and proven management experience who thrives in fast-paced, high-ownership environments.<h1 class="jobSectionHeader"> 
What You&rsquo;ll Do</h1><ul><li>
Lead and mentor a diverse technical team, ensuring excellence and collaboration</li><li>
Build processes and systems that enable the team to scale efficiently and deliver high-quality outcomes</li><li>
Stay hands-on with infrastructure and system architecture while guiding technical direction across the Abu Dhabi office</li><li>
Collaborate with leadership to align local priorities with Tavily&rsquo;s global strategy</li><li>
Drive best practices in system reliability, scalability, and performance</li><li>
Help shape the culture and growth of Tavily&rsquo;s new international office</li></ul><h1 class="jobSectionHeader"> 
What You Bring</h1><ul><li>
Proven expertise in backend and distributed systems (Python, APIs, AWS, Kubernetes/Argo), with a strong focus on building scalable and reliable infrastructure</li><li>
Hands-on experience designing and deploying AI agents or RAG workflows in production environments</li><li>
Deep understanding of retrieval strategies (dense, sparse, hybrid), context optimization, and methods to reduce hallucinations</li><li>
Familiarity with modern agent frameworks such as LangChain, LangGraph, LlamaIndex, or equivalent in-house systems</li><li>
Demonstrated ability to design, own, and evolve complex system architectures</li><li>
Track record of mentoring and leading multidisciplinary technical teams, setting direction and driving execution</li><li>
Experience building and operating real-time, low-latency, large-scale systems</li><li>
Strong background with databases such as Snowflake, MongoDB, and Redis</li><li>
Practical experience with cloud-native architectures on AWS, from design to deployment</li><li>
Comfortable thriving in fast-paced, high-ownership startup environments</li></ul><h1 class="jobSectionHeader"> 
Perks &amp; Benefits</h1>
Full-time employees in our Abu Dhabi office are entitled to the following benefits:<ul><li>
An open, inclusive, and collaborative work culture where every individual has impact from the outset</li><li>
The opportunity to contribute to a fast-growing team operating at the forefront of agentic AI</li><li>
A family-friendly relocation package to Abu Dhabi, including flights, housing, health insurance, and educational support for children</li><li>
Medical insurance coverage extended to employees and their families</li><li>
A work environment that values deep focus, intellectual curiosity, and continuous learning</li></ul></div>

Tech Lead

Halian | Managed Services, Recruitment Agency & Contract Staffing

<div>
 
 
 Leading Bank - Abu Dhabi, UAE
 
 
 
 
 
 
 
 About the Role
 
 
 
 Join our analytics team at a premier Abu Dhabi bank to drive AI/ML innovation in financial services, developing cutting-edge solutions that enhance customer experiences and optimize business operations.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy advanced ML models for banking applications
 </li>
 <li>
 Build and fine-tune generative AI models and RAG systems for enterprise use
 </li>
 <li>
 Conduct A/B testing and model optimization using industry best practices
 </li>
 <li>
 Develop end-to-end ML pipelines using Azure ML/AWS SageMaker
 </li>
 <li>
 Implement prompt engineering strategies for LLM effectiveness
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 
 
 
 
 
 Experience:
 
 
 <ul>
 <li>
 Minimum 5 years in AI/ML roles
 </li>
 <li>
 Proven ability to design, develop, and deploy advanced machine learning models for diverse, real-world business applications
 </li>
 <li>
 Strong background in model experimentation, validation, and performance optimization using industry-standard techniques
 </li>
 <li>
 Hands-on experience conducting A/B testing and deriving statistically sound insights to inform model and product decisions
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Deep expertise in building and fine-tuning generative AI models tailored to specific use cases and business objectives
 </li>
 <li>
 Practical experience implementing Retrieval-Augmented Generation (RAG) and agentic workflows in production environments
 </li>
 <li>
 Skilled in prompt engineering&mdash;designing, testing, and refining prompts to maximize the effectiveness of large language models (LLMs)
 </li>
 <li>
 Proficient in developing and managing end-to-end machine learning pipelines using platforms such as Azure ML or AWS SageMaker
 </li>
 <li>
 Solid understanding of cloud-based data storage and processing, including Azure Blob Storage, Tables, Queues, and Amazon S3
 </li>
 <li>
 Experience deploying and integrating Azure Foundation Models and Azure OpenAI services into enterprise applications
 </li>
 <li>
 Familiarity with containerization and DevOps practices, including Docker and CI/CD pipelines, for scalable and automated deployments
 </li>
 <li>
 Advanced programming skills in Python, with a focus on clean, efficient, and maintainable code for AI/ML development
 </li>
 </ul>
 
 
 
 
 
 Halian Group
 
 :
 
 
 With over 28 years of experience, we have come to understand that innovation is the only way to provide agile, practical solutions that transform businesses and careers. Our resourcing and smart services help you to realize tomorrow&rsquo;s potential. Discover the amazing things possible when you bring the right people and the right technologies together.
 
 
 
 
 
 At Halian, we recognize that diversity, equity, and inclusion (DEI) are essential to building high-performing teams for our clients. We are committed to connecting organizations with top talent from all backgrounds, ensuring that every individual feels valued, respected, and empowered to contribute their unique perspectives. We encourage applications from all qualified candidates, regardless of race, gender, disability, or any other characteristic that makes them unique. By fostering diverse and inclusive workplaces, we help our clients drive innovation, enhance collaboration, and better reflect the communities they serve.
 
</div>

Machine Learning Engineer (m/f/d)

CNTXT AI

<div>
 
 
 Technical Project Manager
 
 
 
 
 Full-time | Abu Dhabi
 
 
 
 
 About CNTXT
 
 
 
 We&rsquo;re revolutionizing enterprise analytics by making data insights accessible through powerful AI and agentic systems. Our AI-powered platform connects to databases, documents, and SaaS applications, enabling business users to ask questions and receive instant, interactive answers. We're building the future where every employee can be their own data analyst.
 
 
 
 The Role
 
 
 
 We're seeking a Technical Project Manager to orchestrate the delivery of our AI analytics platform. You'll be the operational backbone ensuring our engineering team executes efficiently while working directly with our Product team. This role requires someone who thrives in fast-paced environments and can translate complex technical requirements into organized, executable delivery plans.
 
 
 
 What You'll Own
 
 
 
 
 Sprint Planning &amp; Execution
 
 
 <ul>
 <li>
 Help plan and facilitate sprints across backend, AI/ML, and frontend engineering teams
 </li>
 <li>
 Work with the team on product requirements and own delivery planning synced with delivery tickets
 </li>
 <li>
 Coordinate feature delivery across multiple workstreams and technical dependencies
 </li>
 <li>
 Ensure sprint commitments are realistic and delivery timelines are met
 </li>
 </ul>
 
 
 Cross-Team Coordination
 
 
 <ul>
 <li>
 Manage handoffs between backend data infrastructure, AI/ML algorithms, and frontend integration
 </li>
 <li>
 Identify and resolve blockers before they impact delivery timelines
 </li>
 <li>
 Coordinate with Technical Product Director on feature prioritization and scope decisions
 </li>
 <li>
 Facilitate technical discussions and ensure alignment across engineering disciplines
 </li>
 </ul>
 
 
 Delivery Operations
 
 
 <ul>
 <li>
 Maintain and update project roadmaps with accurate delivery estimates
 </li>
 <li>
 Track and report on engineering velocity, burndown, and delivery metrics
 </li>
 <li>
 Manage risk assessment and mitigation planning for technical deliverables
 </li>
 <li>
 Coordinate customer demo preparations and release planning
 </li>
 </ul>
 
 
 Quality &amp; Process Management
 
 
 <ul>
 <li>
 Establish and maintain engineering processes (code reviews, testing, deployment)
 </li>
 <li>
 Ensure proper documentation of technical decisions and system architecture
 </li>
 <li>
 Coordinate QA testing cycles and bug triage processes
 </li>
 <li>
 Manage technical debt tracking and resolution planning
 </li>
 </ul>
 
 
 Stakeholder Communication
 
 
 <ul>
 <li>
 Provide weekly delivery updates to leadership and key stakeholders
 </li>
 <li>
 Coordinate customer feedback integration and feature requirement clarification
 </li>
 <li>
 Manage communication between engineering team and sales/customer success
 </li>
 <li>
 Facilitate retrospectives and continuous improvement initiatives
 </li>
 </ul>
 
 
 What You Bring
 
 
 
 
 Technical Project Management Experience
 
 
 <ul>
 <li>
 4+ years managing technical product delivery, preferably in AI/ML or data platforms
 </li>
 <li>
 Proven track record of delivering complex software products on time and within scope
 </li>
 <li>
 Experience with agile methodologies (Scrum, Kanban) and project management tools
 </li>
 <li>
 Understanding of software development lifecycle and technical dependencies
 </li>
 </ul>
 
 
 Technical Depth
 
 
 <ul>
 <li>
 Ability to understand and communicate about data infrastructure, APIs, and system architecture
 </li>
 <li>
 Experience with AI/ML project complexities (model training, data pipelines, integration challenges)
 </li>
 <li>
 Familiarity with cloud platforms (AWS, GCP, or Azure) and modern development practices
 </li>
 <li>
 Can engage in technical discussions without being a hands-on developer
 </li>
 </ul>
 
 
 Stakeholder Management
 
 
 <ul>
 <li>
 Excellent communication skills with ability to translate between technical and business teams
 </li>
 <li>
 Experience managing expectations across engineering, product, sales, and executive stakeholders
 </li>
 <li>
 Proven ability to facilitate difficult conversations and resolve conflicts
 </li>
 <li>
 Strong presentation skills for customer demos and executive updates
 </li>
 </ul>
 
 
 Process &amp; Operations
 
 
 <ul>
 <li>
 Experience establishing engineering processes in fast-growing startups
 </li>
 <li>
 Data-driven approach to measuring and improving team productivity
 </li>
 <li>
 Understanding of quality assurance and release management practices
 </li>
 <li>
 Ability to balance feature velocity with technical debt management
 </li>
 </ul>
 
 
 Bonus Points
 
 
 <ul>
 <li>
 Experience with enterprise software delivery and B2B customer requirements
 </li>
 <li>
 Previous work in analytics, BI, or data platform companies
 </li>
 <li>
 PMP, Scrum Master, or similar project management certifications
 </li>
 <li>
 Experience coordinating across distributed/remote engineering teams
 </li>
 <li>
 Background in technical consulting or customer-facing technical roles
 </li>
 </ul>
 
 
 What We Offer
 
 
 <ul>
 <li>
 Competitive salary and equity package
 </li>
 <li>
 Central role in building and scaling our engineering operations
 </li>
 <li>
 Direct impact on product delivery and customer satisfaction
 </li>
 <li>
 Collaborative environment with autonomy to establish best practices
 </li>
 </ul>
 
 
 Tools You'll Use
 
 
 <ul>
 <li>
 
 Project Management:
 
 Jira, Linear, or similar agile tools
 </li>
 <li>
 
 Communication:
 
 Slack, Notion, Google Workspace
 </li>
 <li>
 
 Development:
 
 GitHub, CI/CD pipelines
 </li>
 <li>
 
 Analytics:
 
 Custom dashboards for delivery metrics
 </li>
 <li>
 
 Customer Coordination:
 
 CRM integration for feedback tracking
 </li>
 </ul>
 
 
 The Impact You'll Have
 
 
 
 In your first 90 days, you'll establish the delivery rhythm that enables our engineering team to consistently ship features to enterprise customers. Your coordination will ensure seamless integration between our data infrastructure, AI capabilities, and user interface - directly impacting our ability to win and retain customers and scale to new enterprise accounts.
 
 
 
 
 
 
 
 
 
 Ready to orchestrate the delivery of next-generation AI analytics?
 
 
 
 
 Apply now with your resume and a brief description of the most complex technical project you've successfully delivered.
 
 
 
 
</div>

Technical Project Manager

Inception

<div>
 
 Overview
 
 
 
 Inception is seeking a highly proficient and accomplished Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.
 
 
 The opportunity
 
 
 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
 
 
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 
 
 
 Responsibilities
 
 
 
 Your key responsibilities
 
 
 In the Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 
 
 <ul>
 <li>
 Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
 </li>
 <li>
 Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
 </li>
 <li>
 Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
 </li>
 <li>
 Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
 </li>
 <li>
 Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
 </li>
 <li>
 Provide pre-sales and post-sales technical support to the business development team.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Skills and attributes for success
 
 
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 
 
 To qualify, you must have
 
 
 <ul>
 <li>
 M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
 </li>
 <li>
 Minimum 6 years of experience in developing AI algorithms for various modalities
 </li>
 <li>
 Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 <ul>
 <li>
 A highly curious and inquisitive approach to problem-solving
 </li>
 <li>
 In-depth knowledge of the latest developments in AI and machine learning
 </li>
 <li>
 Excellent communication skills
 
 
 </li>
 </ul>
 What we look for
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 
 
 What working at Inception offers
 
 
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 
 
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Applied Scientist

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