AI / AIOps Technical Lead Experience: 6 –12 Years Role Overview This isn’t a “just build models” role. You’ll lead AIOps innovation, owning research, architecture, and delivery of AI-driven solutions for IT operations. Expect a mix
About the Role We are seeking a Python Developer with strong backend engineering expertise and hands-on exposure to Generative AI, Machine Learning, and Deep Learning to design, build, and scale AI-driven applications. The role involves developing
Role Overview We are looking for an experienced Data Scientist with strong analytical capabilities and hands-on experience in building, deploying, and maintaining machine learning models in a FinTech environment. The role requires translating business problems into
ML Engineer Location: Hybrid Employment Type: Full-time Roles & Responsibilities Model Development: Design, build, and deploy machine learning models across classical, time-series, and deep learning approaches to solve real business problems. Data Pipelines: Build and maintain
We are looking for a talented dynamic and curios candidate to join our data team. As a Junior Data Scientist, you will leverage your analytical skills and expertise in machine learning to extract insights from complex
5+ years in an analytical position. Coding experience required § Degree in Mathematics, Statistics, Data Science or similar required § Proven experience handling end-to-end data science projects starting from problem understanding, data cleaning and analysis, modelling,
Role: Senior Data Scientist Reports to: Chief Data & Analytics Officer (CDAO) About Specialty Capital Specialty Capital is a data-driven alternative finance company delivering fast, flexible capital to small and mid-sized businesses. We operate at the
Role : ML OPS Lead Engineer Job Mode : Remote Experience : 7+ Years Notice Period : Immediate / 10 to 15 Days Experience Required: 7+ years in platform or infrastructure engineering with significant experience in
Overview: The Data Scientist supports the development and implementation of data models, focusing on Machine Learning, under the supervision of more experienced scientists, contributing to the team’s innovative projects. Job Description: Assist in the development of
Company Description Gleantap is an intelligent customer experience platform designed for fitness and wellness clubs, enabling businesses to harness data to run effective sales and marketing campaigns. By integrating contextual data, AI, and automation, Gleantap streamlines
Company Overview Uptrail is a UK-based career accelerator that supports students, job seekers, and early-career professionals as they confidently transition into the tech industry. We offer structured, hands-on programmes in data science, software development, cyber security,
Job Description: AI Developer Job Overview: We are seeking a skilled AI Developer to design, build, and deploy autonomous AI agents from scratch. This role involves creating intelligent systems that can perceive environments, make decisions, and
The Sr. ML Engineer will work directly with our Data Science Director to develop, refine, and productionize machine learning models that score healthcare claims against liability signals from legal, P&C, and other data sources. This role
Overview: The Associate Data Scientist supports the development and implementation of data models, focusing on Machine Learning, under the supervision of more experienced scientists, contributing to the team’s innovative projects. Job Description: Assist in the development
About the Role: We are looking for a candidate with strong foundational knowledge in machine learning and deep learning, including architectures such as encoder–decoder models, transformers, CNNs, and GANs, along with a solid understanding of core
Junior AI Engineer – Remote We are hiring a passionate and driven Junior AI Engineer to join our growing AI team. This is an excellent opportunity for candidates with strong Python programming skills and an interest
Job Role : - ML Ops Lead Job Location: - India Job Type : - Remote Experience : -7+ Years Roles & Responsibilities: - Design, deploy, and manage scalable, secure, and automated ML/AI platforms across Azure
What’s important to us: We are seeking experienced AI/ML Engineers who will be responsible for developing and driving new business opportunities internationally. The incumbent will be responsible for discovering sales opportunities and creating qualified leads. Job
Responsibilities: Design, develop, and deploy AI/ML models using Python and ML frameworks such as Scikit-learn, TensorFlow, PyTorch, or similar. Write efficient, reusable, and testable Python code for backend services, model pipelines, and data processing tasks. Work on
Responsibilities: • Utilize Python programming language to clean, transform, and manipulate large datasets for analysis. • Develop and implement statistical models, machine learning algorithms, and predictive analytics to solve complex business problems. • Apply advanced data