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Data Science, Senior Consultant – Healthcare & Life Sciences, Elevate (Toronto)
Senior data science consultant at Simon-Kucher's Elevate team, applying AI, machine learning, and analytics to healthcare and life sciences client engagements — pricing, market access, forecasting, launch, and commercial strategy — building predictive models in Python/SQL and delivering client-ready analyses.
Senior Consultant, Data Science – Elevate – Healthcare & Life Sciences
Senior data science consultant at Simon-Kucher's Elevate team, analyzing healthcare and life sciences data to build predictive models and AI solutions supporting pricing, market access, launch, and commercial strategy for pharma, biotech, medtech, and payer clients. Core stack: Python, SQL, BI tools, and cloud ML platforms.
Principal AI Software Engineer - MLOps
Senior MLOps engineer in Pretoria who designs, builds, and maintains end-to-end machine learning pipelines and infrastructure — automating data versioning, training, deployment, monitoring, drift detection, and retraining. Core stack includes Python/Go/Java, Docker/Kubernetes, cloud ML platforms (AWS/GCP/Azure), and tools like Kubeflow, Airflow, and MLflow.
Manager - Data Science
Designation: Manager - Data Science Experience: 10 to 15 Years Location: Chennai Job Description: We are seeking an L4 Data Scientist / AI Architect Manager to lead our AI initiatives and drive the adoption of…
Senior Full Stack Developer (Hybrid | Toronto)
Senior full stack developer (backend-weighted) at a healthcare AI medical imaging company. Builds cloud-native microservices and APIs on AWS with C#/.NET Core, productionizes ML pipelines, and integrates AI with radiology systems via DICOM and HL7/FHIR. Hybrid in downtown Toronto.
AI/ML - Developer
Role - AI/ML - Developer Desired Experience Range- 5-8 Yrs Location- Pan India Profile Summary 5 years of professional experience, including 4 years in AI/ML solution development and deployment across cloud and…
Part-Time Data & Infra Engineering Lead (AWS, MLOps)
Part-time advisory role (25–50% capacity) auditing AWS architecture, CI/CD, and SageMaker-based ETL pipelines, mentoring engineers on standards, and advising leadership on tooling and cost. Core focus: AWS, DevOps/MLOps, and data engineering.
Manager SE(AIQ)
Experience: 12- 15 Years Work Type: Onsite Employment Type: Full Time Responsibilities: Design and develop software solutions at scale utilizing cloud infrastructure and data services that bridge engineering best…
Manager Data Engineer
Manager-level data engineer in Bengaluru (onsite) who designs and builds cloud-scale data and ML/AI pipelines on AWS, writes and reviews code, and manages a team of developers. Core tech includes Python, Java, Scala, Node.js/TypeScript, MySQL, DynamoDB, Databricks, and Sagemaker. Requires 13+ years of experience.
Senior NLP Engineer
Senior NLP Engineer building and deploying practical NLP and Generative AI (LLM-based) components for the financial sector, working with conversational data and documents. Core stack is Python and AWS (SageMaker, serverless) with DevOps/CI-CD; fully remote within the EEA on a 3+ month engagement.
Senior Machine Learning (MLOps) Engineer
Senior MLOps engineer on a 12-month renewable contract (via Nöord Technologies for a major Montreal bank) building AI/GenAI initiatives for Capital Markets: designing, training and deploying ML models on AWS (SageMaker, Bedrock, Lambda), senior-level Python and REST API development, and building MLOps/LLMOps infrastructure in a hybrid Montreal role.
Machine Learning Engineer (AI Pretraining Fundamentals)
Machine Learning Engineer (hybrid, Ho Chi Minh City) building agentic AI systems on LLMs, fine-tuning models with SFT and LoRA, and deploying scalable deep learning pipelines on AWS (SageMaker, Bedrock, Lambda, EC2) using PyTorch/TensorFlow, with model monitoring and bilingual stakeholder communication.
DevOps, MLOps & Security Engineering Lead - San Jose, CA
Lead DevOps, MLOps, and security engineering at KlearNow, an AI-native global trade/logistics company. Day to day: manage a cross-functional security/DevOps team, own CI/CD pipelines, build and run AI infrastructure (GPU provisioning, model serving, inference scaling) on AWS and GCP, and drive end-to-end cloud and product security.
Data Scientist - 3 to 8 Years - Bengaluru - WFO - Immediate Joiners Preferrable
Data Scientist (3-8 years) joining a client's Forecasting & Planning Research team in Bengaluru, work-from-office 5 days/week at the customer site. Builds workforce/demand forecasting models with Python, SQL, ML, time series and deep learning, deployed on AWS SageMaker and Docker. Immediate joiners preferred.
SENIOR AI ENGINEER
Senior AI Engineer building production AI/ML systems for a leading South African media company: recommendation and personalisation engines, newsroom automation tools, and MLOps pipelines on cloud platforms. Core stack is Python, TensorFlow/PyTorch, Docker/Kubernetes; office-based, five days a week, in Cape Town or Johannesburg.
Ai Developer
Designs, builds and deploys production AI/ML solutions for client projects at a Cape Town digital studio — personalisation, recommendation engines, NLP and LLM-powered assistants — using Python, TensorFlow/PyTorch, AWS/Azure/GCP, Docker and MLOps practices. Office-based in Cape Town five days a week.
Ai Engineer
AI Engineer building production AI/ML for a Cape Town fintech client: personalisation, fraud detection, LLM assistants and automated workflows. Core stack is Python, ML frameworks, cloud platforms (AWS/GCP/Azure), Docker and MLOps. Hybrid role requiring 3 days per week in the Cape Town office.