Senior Fintech Machine Learning Engineer
4 days ago
Company Overview
Infopulse Technologies is a pioneering fintech startup dedicated to revolutionizing personal and business financial management through cutting-edge AI and machine learning technologies.
We leverage advanced algorithms and data-driven solutions to empower users with actionable insights, making informed decisions easier. Our mission is to craft user-friendly tools that drive financial success for individuals and businesses alike.
Job Summary
We are seeking a highly skilled Senior Fintech Machine Learning Engineer to join our team in Ahmedabad. As a key member of our engineering team, you will be responsible for designing, developing, and deploying machine learning models that enhance our fintech products and services. You will collaborate closely with our data scientists, product managers, and software engineers to create innovative solutions that solve complex financial problems.
Key Responsibilities:
- Design and implement machine learning models and algorithms to improve financial forecasting, risk assessment, and user personalization.
- Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and services.
- Develop and maintain scalable machine learning pipelines and infrastructure.
- Analyze and preprocess large datasets to extract valuable insights and features.
- Evaluate model performance and continuously optimize for accuracy and efficiency.
- Stay updated with the latest trends and advancements in AI/ML technologies and apply them to solve business challenges.
- Document model development processes and provide clear, actionable insights to stakeholders.
Requirements and Qualifications
To be successful in this role, you will need:
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
- 4+ years of experience in AI/ML engineering, preferably in the fintech industry.
- Strong proficiency in programming languages such as Python, R, or Java.
- Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.
- Solid understanding of data structures, algorithms, and statistical methods.
- Experience with cloud platforms like AWS, Google Cloud, or Azure.
- Excellent problem-solving skills and the ability to work independently and collaboratively.
- Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders.
Preferred Skills
A strong candidate would also have:
- Experience with natural language processing (NLP) and computer vision.
- Familiarity with financial modeling and quantitative analysis.
- Knowledge of big data technologies such as Hadoop, Spark, or Kafka.
- Experience in deploying machine learning models in production environments.
Compensation Package
This position comes with a competitive salary and equity options, offering opportunities for professional growth and development. Additionally, we offer flexible work hours and a collaborative work environment that values innovation and teamwork.
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