Senior Associate -Applied AI ML -Digital

TwinThread; Bengaluru; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

TwinThread is looking for an Applied AI ML Associate Sr in Bengaluru to develop advanced natural language processing systems. Candidates should possess strong computer science backgrounds, with deep expertise in NLP and programming skills in languages such as Python and Java. This role offers the opportunity to impact technology and business significantly.

The ideal candidate will have both undergraduate and master’s degrees in Computer Science, with proven programming experience and excellent communication skills. Join TwinThread in reshaping the future through innovative AI solutions.

Qualifications

• 2 years of advanced programming experience required.
• Outstanding written and oral communication skills.
• Full understanding of programming with data structures and algorithms.

Responsibilities

• Develop cutting-edge NLP systems for business applications.
• Contribute to the full product development lifecycle.
• Apply deep NLP knowledge and critical thinking skills.

Skills

NLP knowledge

Critical thinking

Programming skills

Data structures

Algorithms

Education

Undergraduate degree in Computer Science

Master's degree in Computer Science

Tools

Python

Java

Scala

Spark

Job description

We're seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. Come join us in reshaping the future!

As an Applied AI ML Associate Sr within our AI for Operations team, you will work on developing cutting‑edge natural language processing systems to serve our customers and internal agents supporting the bank’s operations. You will experiment, develop, and productionize high‑quality machine learning models, services, and platforms to make a significant impact on technology and business.

Job Responsibilities

• Apply deep natural language processing (NLP) knowledge & experience and critical thinking skills and perform advanced analytics with the goal of solving complex and multi‑faced business problems.
• Contribute to the full product development lifecycle, including defining the objective and key product deliverables.
• Act as an advanced contributor in system development, computer algorithms, NLP and machine learning.
• Contribute to the continuous learning mindset of the organization by bringing in new knowledge, ideas, and perspectives.

Required qualifications, capabilities, and skills

• Undergraduate and master’s degrees in Computer Science
• Outstanding written and oral communication skills to present analytical findings and exercise influence among key project stakeholders.
• Advanced demonstratable programming skills of 2 years (masters or industry experience) on more than 1 programming language is required.
• Can learn quickly programming in another programming language and seamlessly.
• Full understanding of and hands‑on programming with data structures, algorithms, operating systems, compilers, databases, and systems.

Preferred qualifications, capabilities, and skills

• Undergraduate and master’s degree in computer science with concentration in NLP or Search experience.
• Full understanding and advanced programming skills using distributed infrastructure, platforms, and computational methods (including distributed ML).
• Prefer training and work experience in NLP and search.
• Experience in developing large‑scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).
• Spark, Python, Scala, Java.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal‑opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.