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Senior Deep Learning Engineer for Advanced Financial Solutions

1 month ago

Pune, Maharashtra, India F337 Deutsche India Private Limited, Pune Branch Full time

**Company Overview**

F337 Deutsche India Private Limited, Pune Branch is a leading provider of advanced analytics solutions in the financial sector. Our team specializes in deep learning techniques to extract insights and drive innovation.

Estimated Salary: ₹45,00,000 - ₹60,00,000 per annum

**Job Description**

We are seeking an experienced Senior Deep Learning Engineer to join our advanced analytics team. As a key contributor, you will lead the development of cutting-edge models, mentor junior team members, and collaborate with cross-functional teams to implement impactful solutions.

The successful candidate will have extensive experience applying deep learning techniques to solve complex problems in the financial sector. They will be proficient in deep learning frameworks such as TensorFlow, PyTorch, and Spacy, and have strong programming skills in R and Python.

**Key Responsibilities:**

  • Collaborate closely with clients to prototype, build, test, and deploy products powered by GenAI/LLM technology on a large scale.
  • Lead the design and implementation of deep learning models for complex financial challenges, such as risk assessment, fraud detection, KYC, emails, and predictive analytics.
  • Utilize deep learning frameworks to build and optimize neural networks, and collaborate with data engineers to ensure efficient integration into production systems.
  • Drive innovation by exploring novel approaches and methodologies in the field of deep learning, and contribute to the development of state-of-the-art solutions in financial data analysis.

**Required Skills and Qualifications:**

  • 10+ years of hands-on experience as a Python engineer.
  • Extensive experience applying deep learning techniques to solve complex problems in the financial sector.
  • Proficiency in deep learning frameworks such as TensorFlow, PyTorch, and Spacy.
  • Strong programming skills in R and Python.
  • Knowledge of natural language processing (NLP) and its applications in the financial sector.
  • Familiarity with big data technologies, distributed computing, and cloud platforms.

**Benefits:**

  • Competitive salary and benefits package.
  • Opportunities for career growth and professional development.
  • A dynamic and collaborative work environment.
  • A range of flexible benefits to suit your needs.