This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Machine Learning Engineer, Platform in India.
In this role, you will contribute to building scalable, secure, and intelligent platform systems that support a global financial ecosystem. You will design, implement, and deploy machine learning solutions to address complex problems, including fraud detection, recommendation systems, chatbots, and blockchain analytics. The position involves collaborating closely with cross-functional teams to create impactful ML-driven features while ensuring reliability and performance at scale. You will have the opportunity to explore advanced ML techniques such as deep learning, large language models, and graph neural networks. This role offers a challenging, fast-paced environment where your contributions directly enhance user experience, security, and platform intelligence. Ideal candidates are passionate about innovation, problem-solving, and applying ML to real-world, high-impact scenarios.
Accountabilities
- Research, develop, and implement cutting-edge machine learning solutions for platform-level problems
- Build and deploy robust, maintainable ML models in production environments
- Work with diverse data sources, including blockchain and transactional data, to enhance system intelligence
- Collaborate with product, engineering, and data teams to translate business requirements into ML solutions
- Develop tools, libraries, and infrastructure to support the democratization and scalability of ML capabilities across the organization
- Continuously improve processes, ensuring high performance, reliability, and quality of ML systems
Requirements
- 5+ years of experience as a machine learning or software engineer
- Strong background in backend systems, data processing, and applied machine learning
- Experience with at least one ML model type: LLMs, GNNs, deep learning, logistic regression, gradient boosting, etc.
- Knowledge of data mining, information retrieval, NLP, computer vision, or advanced statistics
- Proficiency in Python or similar programming languages for ML and data engineering
- Ability to work effectively in a high-pressure, collaborative, and fast-paced environment
- BS, MS, or PhD in Computer Science, Machine Learning, Statistics, or related technical field is preferred
- Experience with ML infrastructure tools (Apache Airflow, Spark, Flink, Kafka, Snowflake, Hadoop, Hive) is a plus
- Understanding of model interpretability, responsible AI, and data visualization is advantageous
Benefits
- Competitive salary and performance-based incentives
- Flexible work arrangements with remote-first options
- Health, life, and accidental insurance coverage
- Professional development opportunities, workshops, and learning programs
- Access to advanced technical resources and collaborative tools
- Exposure to global, high-impact projects and cross-functional teams
- Supportive, innovation-driven work culture with opportunities for mentorship and growth
Why Apply Through Jobgether
We use an
AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
