jobseeker Logo
Now Apply on the Go!
Download iimjobs Jobseeker App and get a seamless experience for your job-hunting
02/02 Radhika Agrawal
Consultant at Crescendo Global

Views:292 Applications:99 Rec. Actions:Recruiter Actions:1

Machine Learning Engineer/Data Scientist - Gen AI/NLP (2-7 yrs)

Anywhere in India/Multiple Locations Job Code: 1370011

Data Scientist - Gen AI / NLP (2+ years)

Location: Remote (Occasional travel will be required - Bangalore)

Summary - Join as a Machine Learning Engineer and be part of a transformative journey in the small and medium business sector. With a focus on digitizing financial records, you'll have the opportunity to work with a diverse range of data, including structured, unstructured, image, and text-based information.

Your Future Employer - A leading innovator in simplifying and digitizing financial operations for small and medium businesses. We provide a paperless solution, allowing businesses to access their financial data anytime, anywhere. As a Machine Learning Engineer, you'll be part of a dynamic team driving innovation in the Indian MSME sector.

Responsibilities -

- Build scalable and low-latency Machine Learning systems.

- Conduct model training, validation, and post-deployment monitoring.

- Maintain and enhance existing codebases, along with peer reviewing code.

- Collaborate with team members on ML system design and technical documents.

- Engage in research and literature reviews, including open-source contributions.

Requirements -

- Bachelor's degree in Computer Science or a related technical field, or equivalent work experience.

- Minimum of 3 years of industry experience in training and deploying Machine Learning models.

- Participation in Kaggle problems.

- Prior experience in FinTech.

What's in it for you -

- Work on cutting-edge ML use cases, including underwriting, risk assessment, predictive modeling, voice-first products, generative models, and NLP/NLU-based products.

- Opportunity to contribute to the growth of the Indian MSME sector through innovative data-driven solutions.

- Utilize essential tools such as Python, SQL, Databases, PyTorch/TensorFlow, Kubernetes, Docker, and potentially GCP, Airflow, and Mixpanel.

- Competitive compensation package and a collaborative work environment fostering continuous learning and development.

Women-friendly workplace:

Maternity and Paternity Benefits

Add a note
  • Apply
  • Assess Yourself
  • Save
  • Insights
  • Follow-up
Something suspicious? Report this job posting.