Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

We are seeking a highly experienced and technically proficient MLOps Architect to lead the design, development, and implementation of our next-generation machine learning platforms. This role requires a unique combination of deep technical expertise in MLOps, a strong background with cloud technologies, and the ability to effectively manage complex client relationships. The ideal candidate will be a strategic thinker who can translate business needs into scalable and robust MLOps solutions.

Responsibilities:

Tiger Analytics is looking for a skilled and innovative Machine Learning Engineer with hands-on experience in Google Cloud Platform (GCP) and Vertex AI to design, build, and deploy scalable ML solutions. You will play a key role in operationalizing machine learning models and driving the end-to-end ML lifecycle, from data ingestion to model serving and monitoring.

Key Responsibilities:

About Triaina (a Signal Venture):

Maritime transport, representing over 80% of global trade volume, faces substantial operational and financial risks. 

At Triaina, we develop advanced predictive models, leveraging proprietary data to empower bulk-shipping stakeholders with superior decision-making and trading performance.

Signal Ventures, the investment arm of Signal, is a specialized venture capital firm focused on supporting early-stage technology startups and entrepreneurs in the shipping, logistics, mobility, and commodities sectors. With a track record of over 15 investments, 3 incubation projects, and successful exits for notable companies like OilX and nuTonomy, Signal Ventures is at the forefront of the industry.

About the role: 

As a Quantitative Researcher, you’ll drive the full predictive-modeling pipeline – from data acquisition and feature engineering through model training, live deployment and risk management. You’ll shape our quantitative trading infrastructure, developing advanced models for shipping derivatives to support high-stakes decisions with immediate real-world impact.

The ideal candidate combines deep expertise in modeling time-varying stochastic processes and decision-making under uncertainty with an entrepreneurial mindset.

We welcome experienced candidates ready to lead research initiatives, mentor peers, and drive the discovery of new alpha-generating strategies.

Being one of the most tech driven shipping companies, we are seeking an AI Specialist with expertise in Machine Learning and Large Language Models (LLMs) to join our Digital Transformation team. You will design and implement AI solutions, fine-tune models like GPT, and build intelligent systems that enhance business processes through automation and advanced analytics.

• Define AI strategies aligned with business goals (e.g., automation, prediction)
• Lead development and fine-tuning of ML/LLM models for industry-specific use cases
• Build full ML pipelines: preprocessing, training, evaluation, deployment
• Develop intelligent agents and autonomous AI workflows
• Monitor models for drift and optimize performance as needed
• Report on performance and recommend retraining or tuning
• Document solutions for smooth internal adoption
• Ensure compliance with data privacy and AI governance standards
• Stay updated on AI trends, tools, and best practices

Requirements

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for an AI Engineer in India.

As an AI Engineer, you’ll play a critical role in designing, building, and optimizing machine learning models that solve complex problems and improve operational performance. This role involves working with large datasets, performing data analysis, and developing AI-driven solutions that directly impact decision-making and customer experience. You'll collaborate with cross-functional teams to understand business objectives, identify opportunities for automation, and contribute to the strategic growth of the company through innovative AI implementations.

Accountabilities:

Tiger Analytics is looking for experienced Agentic AI Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:

• Providing solutions for the deployment, execution, validation, monitoring, and improvement of MLE solutions
• Creating Scalable Machine Learning systems .
• Building reusable production data pipelines for implemented machine learning models
• Writing production-quality code and libraries that can be packaged as containers, installed and deployed

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

Technical Skills Required:

·        Programming Languages: Proficiency in Python is essential; C++ experience is ideal but not required.

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Senior Software Engineer, Data Platform in the United States.

In this role, you will be responsible for designing, implementing, and maintaining a highly available and scalable on-premises data platform. This platform will support large-scale OLAP/OLTP and feature engineering workloads, providing critical infrastructure to multiple product development teams. You will collaborate with cross-functional teams to ensure that the platform aligns with both business and internal customer needs, and you will also play a key role in supporting production systems and identifying areas for optimization.

Accountabilities: