111 Microsoft AI jobs in South Africa

Company Description

NeoStats, established in 2022, aims to democratize world-class, data-driven transformations for every company striving for success. We offer best-in-class transformations that are no longer exclusive to large Big4 consulting retainers. Our mission is to create enduring competitive advantages for our clients by transforming them into data-driven organizations. We simplify complex solutions, create knowledgeable customer bases, and foster a culture of partnerships.

Role Description

We are looking for a passionate 
AI Engineer (0–3 yrs experience)

to join us 
onsite in South Africa

at NeoStats Analytics.
.

Qualifications

• Strong understanding of 
  Python
   and libraries like Transformers, PyTorch, TensorFlow, LangChain, or OpenAI API.
• Knowledge of 
  NLP concepts
   like embeddings, tokenization, and text generation.
• Familiarity with 
  vector databases
   (Pinecone, FAISS, Chroma) is a plus.
• Experience with 
  prompt design and evaluation
  .
• Strong analytical and problem-solving skills.
• Passion for learning and exploring 
  latest AI/ML technologies
  .
• Ability to collaborate effectively in a fast-paced environment.

AI Engineer - Cape Town - Full Remote - R100,000 CTC

I'm partnered with the innovation arm of a global freight management company that's on a mission to leverage artificial intelligence to drive growth, efficiency, and transformation across its operations. This division sits at the forefront of technology for the entire group, delivering solutions that power both internal systems and customer-facing platforms, from web-based tracking and supply chain portals to document management and telematics systems.

As part of a major investment into AI, the business is looking to automate processes, streamline workflows, and unlock new opportunities through intelligent data solutions. This is a fantastic opportunity for an AI Engineer to play a key role in shaping and implementing these initiatives from the ground up.

You'll work closely with software engineers, data scientists, and product teams to design and develop AI-driven solutions across multiple areas of the business. You'll be involved in everything from prototyping and model training to deployment and integration, with the freedom to experiment and innovate.

What you'll be doing:

• Designing and developing AI and machine learning models to enhance automation, efficiency, and decision-making
• Working with large datasets from logistics and telematics systems
• Collaborating with cross-functional teams to identify AI opportunities and integrate solutions into existing platforms
• Deploying and optimising models in production environments
• Staying at the forefront of AI trends, tools, and frameworks to drive continuous innovation

What we're looking for:

• Solid experience in AI engineering, data science, or applied machine learning
• Proficiency with Python and common ML/AI libraries (e.g. TensorFlow, PyTorch, Scikit-learn, Pandas, etc.)
• Experience tuning LLMs, implementing RAG pipelines and integrating with LLMs and OpenAI
• Experience building, training, and deploying models in real-world applications
• Strong understanding of APIs, data pipelines, and cloud environments (Azure or AWS ideal)
• Curiosity and open-mindedness towards emerging AI technologies

About Cerebria

Cerebria is at the forefront of AI-driven healthcare innovation, developing advanced machine learning solutions that enhance patient safety and improve cardiovascular diagnostics. Our core technology focuses on real-time coronary physiology, supporting interventional cardiologists with intelligent insights during procedures. In parallel, we are building cutting-edge education tools that leverage generative AI to deliver personalized, scalable learning experiences for healthcare professionals and patients.

Founded by practicing cardiologists, we're a small but growing startup backed by deep expertise in medical devices, regulatory compliance, and systems integration. From AI model development to seamless deployment in clinical and educational environments, we deliver end-to-end innovation. With headquarters in London, engineering operations in California, and a new engineering team being established in South Africa, our global team is united by a mission to make cardiovascular care and education smarter, safer, and more effective through intelligent technologies.

The role

We're looking for an AI Engineer to build and integrate production-ready applications powered by Large Language Models (LLMs).  You'll work on both our regulated medical device products and AI-powered education tools, helping to build systems that deliver personalized, traceable, and clinically aligned experiences across both domains.

The ideal candidate combines technical expertise with strong product vision and a passion for collaborative problem-solving. You'll work closely with our team, clinicians, and domain experts to rapidly prototype AI-driven concepts, validate them in realistic settings, and scale them into production-ready applications that meet the real-world demands of clinical safety, performance, and usability.

This role is not a fit for junior candidates, or anyone without prior production experience shipping LLM systems.

This position is based in South Africa; some international travel may be required for team meetings or project collaboration.
Please do not apply if you are not based in South Africa

.

What you'll do

• Develop and integrate LLM-based agentic systems for medical decision support and personalized education
• Build multi-step reasoning workflows and agents that adapt dynamically to clinical context, learning goals, and user interaction
• Collaborate with clinicians and domain experts to co-design, test, and iterate on new AI concepts
• Translate early-stage prototypes into robust, maintainable, and compliant production code
• Design RAG pipelines and knowledge orchestration systems for structured information access and traceable output generation
• Deploy and maintain LLM applications across both regulated software systems (medical devices) and non-regulated platforms (education tools)

Optimize agentic workflows for inference performance, latency, and cost-efficiency in production environments
- Support the integration of AI models into regulated medical device software, with attention to performance optimization, safety, and runtime constraints
- Maintain thorough technical documentation, including model architectures, design specifications, training procedures, testing protocols, and performance benchmarks.
- Adhere to and support implementation of applicable quality and regulatory standards, including IEC 62304, ISO 13485, and FDA/CE requirements.
- Participate in design reviews, sprint planning, and collaborative meetings across teams.

What we're looking for

Must have experience

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning or a related field
• Minimum 2–5 years of experience working in Artificial Intelligence, Machine Learning, or Software Engineering.
• Proven hands-on experience building production LLM applications or agentic systems
• Demonstrable experience with multi-agent frameworks, LLM orchestration platforms, or function-calling implementations
• Demonstrable experience in prompt engineering, model evaluation, and implementing guardrails against hallucinations
• Very strong Python proficiency including modern LLM frameworks (LangChain/LangGraph, LlamaIndex) and LLM provider APIs
• Experience with web frameworks for API development and deployment (FastAPI, Flask, Django) and RESTful service architecture
• Proven ability to collaborate with non-technical stakeholders to turn ideas into working software
• Experience with prototyping and iterative design workflows, particularly in startup or research settings
• Proficient and practiced in production-grade engineering practices including testing, version control, and modular design

Bonus points for:

• Experience working in or adjacent to regulated environments (medical devices, diagnostics, healthcare IT)
• Background in educational technology or intelligent tutoring systems
• Experience implementing evaluation frameworks for LLM reliability, factual accuracy, and output traceability
• Knowledge of cloud-based deployment and MLOps tools for model serving and monitoring
• Knowledge of regulatory frameworks for AI/ML in medical devices (FDA, CE marking processes).
• Understanding of healthcare data standards (HIPAA, HL7/FHIR) and clinical workflows.
• Knowledge of embedded AI systems or real-time model inference in hardware-constrained environments.
• Background in safety-critical applications (medical, automotive, aerospace, manufacturing).

Why join Cerebria?

• Remote-first culture with global impact
• Help shape both the future of interventional cardiology and clinical education
• Work closely with clinicians to build real-world tools with measurable outcomes
• Bridge the gap between early AI innovation and regulated healthcare deployment
• End-to-end ownership from research to production
• Salary R to R per annum

Ready to make AI that matters? Let's transform healthcare together.

Company Description

Sebata Municipal Solutions is a leading provider of integrated technology, enterprise management solutions, and multidisciplinary professional services to municipalities, provincial government, public and private entities. With over 40 years of experience, Sebata has established itself as a preferred service provider to the majority of government institutions, including local, provincial, and national government departments, state-owned entities, and the public and private sectors. Our innovative, solutions-driven team supports over 150 local government institutions and public utilities in the SADC region, with major centres in South Africa, Namibia, and Lesotho. We offer centralized help desk support and decentralized support centres across various regions.

Role Description

Key Responsibilities

• AI Automation & Integrations
• Design and implement AI-driven automation to improve financial processes (e.g., reconciliations, anomaly detection, fraud/irregular expenditure alerts).
• Build intelligent
  chatbots/virtual assistants
  that provide users with ERP guidance, policy references, and financial insights.
• Integrate AI services into existing ERP workflows, ensuring
  scalability, performance, and compliance
  .
• Machine Learning & Data Engineering
• Develop ML models for forecasting, anomaly detection, natural language processing, and predictive analytics.
• Work with structured (financial transactions, mSCOA) and unstructured data (documents, reports).
• Ensure models align with
  South African regulatory frameworks (MFMA, mSCOA, AGSA audit requirements)
  .
• Software Engineering
• Collaborate with our .NET/Angular/MS SQL development teams to embed AI services into ERP modules.
• Deploy AI solutions via APIs, microservices, or embedded components.
• Optimize performance of AI workloads for on-premise and cloud deployments.
• Innovation & Strategy
• Advise leadership on AI adoption strategies and emerging technologies.
• Drive proof-of-concepts (e.g., AI-driven dashboards, document interrogation tools, citizen engagement chatbots).
• Mentor junior developers on AI best practices.

Core Skills & Competencies

• AI/ML Expertise
• Strong knowledge of ML algorithms, NLP, anomaly detection, and time-series forecasting.
• Experience with frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Knowledge of LLMs and AI Agents (OpenAI, Hugging Face, RAG architectures, vector databases).
• Programming & Engineering
• Proficiency in
  Python
  (for AI/ML) and
  C#/.NET, , or Java
  for ERP integrations.
• Experience with
  API design, microservices, and containerization (Docker/Kubernetes)
  .
• Strong SQL skills, particularly with
  MS SQL Server
  .
• ERP & Financial Domain
• Experience in financial systems, ERP solutions, or municipal/public sector IT.
• Familiarity with South African frameworks:
  mSCOA, MFMA, compliance
  (advantageous).
• Data & Cloud
• Knowledge of
  ETL pipelines, data warehouses, and BI tools (Power BI)
  .
• Familiarity with cloud AI platforms (Azure AI)
• Soft Skills
• Strong problem-solving and analytical mindset.
• Ability to translate technical AI concepts into
  business value
  .
• Excellent communication skills for cross-team collaboration and stakeholder engagement.

Qualifications

• Bachelor's or master's in computer science
  , AI/ML Enginering, Data Science, or related field
  .
• 5+ years' experience in software development, with at least 3 years in AI/ML senior roles.
• Prior experience integrating AI into ERP/enterprise financial systems preferred.
• Certifications in AI/ML (Microsoft Azure AI Engineer, TensorFlow, etc.) are an advantage.

Job Description

The ALMA (Asset Liability Management Analytics) team in Group Treasury is responsible for maintaining and enhancing the ALMA application, as well as providing support to Group Treasury on data modelling, data engineering, analytics, and quantitative analysis. The ALMA application sources transaction data, along with associated market, party, and reference data from across the FirstRand group. It produces analytics for funds transfer pricing, behavioral analysis, and regulatory and management reporting, as well as for other areas within Group Treasury. The AI Engineer will be responsible for developing, deploying, and maintaining data science models and AI agents within FirstRand Bank Group Treasury. This role is crucial for enhancing the treasury's analytic capabilities, monitoring and analyzing analytic processes that compute metrics for asset and liability management (ALM), and using this data and other data assets to extract analysis.

To contribute to the design, development, and deployment of machine learning models, LLMs, and AI systems, with growing responsibilities in agentic systems and conversational AI. To work independently to implement and optimize AI solutions in collaboration with senior engineers and cross-functional teams.

To participate in the building and deployment of ML models, experimenting with LLMs and agents, and supporting AI integration into production environments.

• Support the development and fine-tuning of AI/ML models, including LLMs and basic conversational agents.
• Contribute to the creation and maintenance of data pipelines and model evaluation workflows.
• Collaborate on the design and prototyping of agentic tools and LLM-powered applications.
• Help debug and improve models with a focus on performance, accuracy, and reliability.
• Participate in prompt engineering and response optimization exercises.
• Assist with the integration of AI models into production systems under guidance from senior engineers.
• Work closely with product and engineering teams to understand AI requirements and ensure delivery alignment.
• Keep up with current research and tools in the AI/LLM space and contribute ideas to improve team capabilities.
• Control expenditure and identify process improvements to contain and reduce costs.
• Deliver customer experience excellence in own service delivery aligned to Organisational values and service standards.
• Build working relationships across teams and functional lines to enhance work delivery, collaboration and innovation.
• Participate in planned activities that are appropriate for own development.
• Provide guidance, share knowledge and expertise and guide employees to find their own solutions.
• Manages risks in own area of responsibility.

Job Details

Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.

14/10/25

All appointments will be made in line with FirstRand Group's Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.

Who are Inference Group?

Are you ready to be a part of a company that's redefining the future of data and AI? Welcome to Inference Group, where we're not just a tech startup – we're a team of passionate innovators dedicated to empowering businesses through the transformative power of data, machine learning, and AI.

At Inference Group, we're on a mission to help businesses unlock their true potential and drive sustainable growth. As we rapidly expand, we're looking for like-minded, creative technical experts who want to make a real impact. Here, you'll work alongside leading experts in data, AI, and technology, guiding clients to harness the full potential of their data.

Join us, and you'll be at the forefront of the data and AI revolution. You'll have the opportunity to turn cutting-edge concepts into scalable, operational solutions that enhance human creativity and decision-making. Our team is committed to delivering innovative analytical solutions to customers worldwide, helping them navigate and thrive in an AI-driven world.

At Inference Group, we believe in making the most out of our journey. If you're ambitious, innovative, and eager to contribute to the early stages of a dynamic consultancy, we'd love to have you on board. Together, we'll explore the limitless opportunities of data and AI, driving excellence and having a lot of fun along the way. Join us and be a part of something extraordinary.

Job Description:

We are entering our next phase of growth and are now looking to establish a dynamic, tech driven capability in Cape Town. We are seeking a skilled AI Engineer to broaden our engineering capabilities - this will involve creating, programming and training complex networks of algorithms to grow our AI programmes, evaluating and comparing algorithm performance based on large, real-world data sets, designing and implementing Machine Learning algorithms and undertaking various data mining exercises from various sources to gain valuable insights to accelerate existing algorithms and future models.

This role will involve oversight of ongoing AI/ML engineering projects where you will play a crucial role in supporting our clients objectives by providing important technical insights into ongoing tech transformation and delivery, this will involve creating intelligent AI models which utilise deep learning, neural networks and ML algorithms to gain key business insights and create opportunities for informed decision making and future planning.

We are looking for someone well versed in programming, software engineering and data science fields with solid previous experience of building, training and deployment using Microsoft Azure products who is passionate and curious about ongoing development within the AI/ML space and dedicated to creating new opportunities for our clients to learn and evolve within these fields.

Requirements:

The ideal person for this role would have previous experience of delivering engineering projects focused on realising the potential of AI/ML within a similar consultancy space with hands on experience of using all or some of the following technologies; Azure Machine Learning (Azure ML), Azure Kubernetes Service (AKS), Azure Data Lake Storage, Azure Cosmos DB, Azure SQL Database, Azure DevOps, PowerBI, Azure OpenAI Service ect

This role provides a unique opportunity for a proactive and driven person to take their engineering career to the next level. We are excited to work with someone who considers themselves a Tech Enthusiast - you love tech and can't wait to learn more about projects, systems and data, with an aptitude for challenging existing ways of working, able recognise opportunities and identify innovative solutions that add real value to clients.

Working at Inference Group:

If you're a driven person with a love of life long learning, who is naturally curious and eager to contribute to the early stages of a dynamic consultancy, we would love to have you on board As a team, we will explore the limitless opportunities of data and AI, driving excellence and having a lot of fun along the way.

We are a young, small company experiencing exciting growth and we are devoted to hire people at this stage who will be future leaders within our business. We are committed to your ongoing learning and development and love working with curious, life long learners - we have access to the latest technology and will provide training in these and certifications to help you grow and succeed.

As AI is constantly changing and evolving, we make a promise to our customers that we foster a culture of excellent people who have the most up to date training, knowledge and experience to help deliver innovative solutions.

We Geek Out Loud: we excel in our data and AI domain, using our expertise to deliver solutions that realise value. We share our wisdom and experience proudly, no egos, just pure tech passion.

We Act Boldly, and Collaborate Openly: we explore uncharted territories, working on the new to deliver operational solutions at scale. We don't tread over old ground. We collaborate openly with full transparency, learning from each other as a community.

We are the Connectors: we bridge the gaps between business value, data engineering, data science and deployment. Working seamlessly as one unified team internally and externally to deliver working solutions for our clients.

We Empower our Customers: we equip our clients with the skills and knowledge to fully leverage, scale and deploy data and AI solutions. We prioritise delivering operational success over prototypes and proof of concepts to provide long term value. We build trust.

We Love our Work: we are proud of the work we do and take ownership of it. We work on the things we love and care about, we work with passion with people we respect.

We are Data Jedis: we work on hard problems and aim to deliver working solutions at scale. We don't have time for politics, backbiting, gossiping, game playing or selfish behaviour. We work as one team with a mission to deliver and we will only achieve that together.

If you like our mission and connect with our values, we encourage you to apply.

Location: Remote

Team: Reports to Head of Product

Type: Full-time

About Us

Ollie Health is an AI-enabled wellness company that's transforming how enterprises support their people. We're building the world's most advanced
AI healthcare model

, integrated with leading healthcare platforms and global enterprises. Our solution, trusted by top global enterprise clients, leverages

on the front end, robust APIs, and
advanced AI

to deliver personalized wellness intelligence and support in real time.

The Role

We're looking for a
Senior AI Engineer

to join our team at the intersection of full-stack development and applied AI. You'll dedicate roughly 70% of your time to AI/ML, designing, training, and deploying the models that power our core health and wellness intelligence. This includes a proven track record of architecting
LLM inference infrastructure

that serves millions of requests daily with
cost-efficient scaling strategies

. The remaining 30% will focus on ensuring a seamless, high-performance integration with our

and
PostgreSQL

application and overall system architecture with the assistance of the
Systems Engineer

.

What You'll Do

• Design, train, and fine-tune

machine-learning models, including supervised and unsupervised approaches.
- Build

and maintain Retrieval-Augmented Generation (RAG) pipelines and work with vector databases (e.g., Pinecone, Weaviate).
- Apply

a deep understanding of algorithms, data structures, and statistical methods to build accurate and efficient AI solutions.
- Collaborate

with Product and Design to integrate AI outputs into a polished UI and real-time dashboards and analytics reports.
- Build and maintain

full-stack features using , React, , and Python services.
- Deploy and optimize

models across AWS, GCP, or Azure, selecting the best environment for each workload.
- Contribute

to architecture decisions and mentor teammates on AI best practices.

What We're Looking For

• 4+ years

of professional software engineering experience.
- Proven track record

of training and fine-tuning models and implementing RAG solutions.
- Proven track record

leveraging AI APIs ie OpenAI, Gemini, Llama
- Strong understanding

of machine-learning algorithms and practical ML pipeline design.
- Hands-on experience

with vector databases and scalable retrieval systems.
- Expertise in JavaScript/TypeScript

& React) and
solid Python

for ML pipelines.
- The ability to
thrive in a fast-moving, remote startup

environment.
- Experience designing and implementing secure data protocols

when working with large language models (LLMs).
- Practical knowledge of PII detection and redaction

, including encryption and privacy-compliance measures.
- Comfort thriving in a fast-moving, remote startup environment

, delivering projects from architecture through deployment.

Nice to Have

• Experience with
  MLOps

(Docker, Kubernetes, CI/CD for ML).
- Familiarity with the wellness, healthtech, or HR tech domains.
- Contributions to open-source ML or AI tooling.
- Mobile App Experience

Why Join Us?

• Shape the future of AI-powered corporate healthcare.

Your work will directly impact leading enterprises and their employees.
- Design & deploy an AI healthcare model that is used by a global userbase
- Work fully remote

with flexible hours and a collaborative, mission-driven culture.
- Be part of a
small, senior team

where your decisions have direct product impact from day one.

Interested?

Send your CV or portfolio of relevant projects (GitHub, papers, demos) to
()

with the subject line
"AI Engineer – (Your Name)"

.

We are seeking a highly skilled Senior Python Software Engineer – AI/ML to join our team. The ideal candidate will bring deep expertise in Python and end-to-end AI/ML product delivery, with strong experience in Large Language Models (LLMs), data engineering, and MLOps frameworks. Hands-on exposure to Databricks, Data Foundry, MLflow, Prefect, and Azure ML tooling will be highly advantageous.

Responsibilities

• Design, develop, and deploy AI/ML systems into production environments.
• Orchestrate and manage scalable data pipelines with a focus on quality, reliability, and efficiency.
• Own the full AI/ML lifecycle:
• Data ingestion, preprocessing, and validation
• Model training, fine-tuning, validation, and optimization
• Deployment, monitoring, and scaling in production
• Continuous evaluation and improvement
• Implement scalable and maintainable code aligned with modern development practices (CI/CD, testing, reviews).
• Develop APIs and microservices to integrate AI/ML solutions into enterprise platforms.
• Work with containerization and orchestration technologies (Docker, Kubernetes) to enable cloud-native AI solutions.
• Collaborate cross-functionally to deliver business-focused AI capabilities.

Core Competencies and Requirements AI/ ML Expertise

• Proven experience in delivering production-grade AI/ML systems.
• Strong understanding of
  LLMs

(fine-tuning, embeddings, integration, and deployment).
- Familiarity with NLP techniques and advanced ML workflows.

Software Engineering

• Advanced proficiency in
  Python

for AI/ML applications.
- Skilled in scalable, maintainable code design and architecture.
- Experience with
CI/CD pipelines

, automated testing, and modern development best practices

Data Engineering

• Hands-on experience with
  Databricks, Data Foundry

, and
Apache Spark

for large-scale data processing.
- Ability to build and maintain ETL/ELT pipelines with strong validation and governance.
- Knowledge of pipeline orchestration frameworks such as
Prefect

(or Airflow).

MLOps and Frameworks

• Practical experience with
  MLflow

for tracking, orchestration, and reproducibility.
- Strong knowledge of MLOps best practices and deployment strategies.

Cloud Platforms and Infrastructure

• Hands-on experience with
  Azure ML services

(Data Factory, ML Studio, Synapse).
- Azure certification

will be considered an advantage.
- Exposure to
AWS

or
GCP

is beneficial.
- Experience with
Docker

and container orchestration (Kubernetes)

API and Microservices

• Proven ability to design RESTful APIs and microservices.
• Experience integrating AI models into production workflows.
• Familiarity with observability best practices (metrics, logging, tracing).

Qualifications

• Bachelor's degree

in
Computer Science, Computer Engineering, Software Engineering, or related field

(BSc required).
- Honours or Master's degree

in a relevant field will be an
advantage

.
- 5+ years of professional software engineering experience, with at least 3+ years focused on AI/ML.
- Strong experience with ML frameworks such as
TensorFlow, PyTorch, and Scikit-learn

.

About The Role
We're looking for a skilled AI Engineer to help us fine-tune, deploy, and maintain private AI models tailored to our business needs. You'll be working with leading foundation models and custom datasets to deliver scalable, secure, and high-performing AI solutions—without reinventing the wheel.

What You'll Do
Model Fine-Tuning & Adaptation

• Fine-tune pre-trained private AI models (e.g. LLMs, vision models) for specific business use cases.
• Host and manage local LLMs and app hosting
• Work with proprietary or internal datasets to adapt models for high relevance and accuracy.
• Evaluate model performance and improve outputs through prompt engineering or targeted retraining.

Data Preparation

• Collect, clean, and prepare datasets for training, tuning, and evaluation.
• Collaborate with data teams to ensure high-quality inputs and labeling consistency.

Deployment & Operations

• Deploy models in secure, scalable production environments using Docker, Kubernetes, Linux and cloud infrastructure (AWS, GCP, or Azure).
• Monitor model performance, reliability, and drift; implement updates and improvements as needed.

Maintenance & Optimisation

• Maintain and update deployed models to ensure continued alignment with business goals.
• Optimize model latency, cost, and accuracy based on real-world usage data.

Collaboration & Support

• Work with product and engineering teams to integrate models into applications.
• Support internal teams with prompt design, model usage, and troubleshooting.

Responsible AI Practices

• Apply principles of ethical AI development, including privacy, security, and bias mitigation.
• Ensure compliance with internal and external AI governance policies.

What You'll Need

• 1+ years' experience in AI/ML/GI engineering, with a focus on model fine-tuning and deployment.
• Strong experience with PHP, Node, React & Python and libraries like Transformers, LangChain, or Hugging Face.
• Familiarity with model evaluation techniques and metrics.
• Experience deploying AI models in production using tools like Docker, Kubernetes, and cloud services (AWS, GCP, or Azure).
• Solid understanding of LLMs or other foundation models and how to work with them effectively.
• Strong analytical, problem-solving, and communication skills.

Nice to Have

• Experience with vector databases (e.g. FAISS, Weaviate, Pinecone) or RAG pipelines.
• Knowledge of secure and private model hosting (eg Ollama).
• Certifications in ML, cloud, or AI-related fields.
• Exposure to tools like MLflow, Weights & Biases, or Ray.
• Orchestration automation like n8n

Why Join Us?

You'll work on impactful AI solutions without the burden of building from scratch—just smart adaptation, deployment, and ongoing improvement. Help shape how AI is applied responsibly and effectively in the real world.