Technical Lead

About Birlasoft:

Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the CK Birla Group, a multibillion-dollar enterprise, we boast a 12,500+ professional team committed to upholding the Group's 162-year legacy. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose.

About the JOB

We are seeking a skilled Python Developer with 4-11 years of experience to join our AIML project team. As a Python

Developer, you will be responsible for developing and implementing Python-based solutions for our AIML project, utilizing

your expertise in Python programming, AWS platform, natural language processing, and SDLC phases.

Title: Python AWS Developer

Experience Required – 4-11 Relevant years. less than/greater than experience profiles will consider as screen reject.

Location: Gurugram Sec 62

Notice Period – 0-30 Days only

Mode – Hybrid (3 days are mandatory)

Shift – 12 PM – 9 PM

Salary – 4-6(8-14LPA), 6-8(12-18LPA), 8-10(18-24LPA), 10-12(23-28LPA)

Educational Background: • BE, B. Tech. or MCA/MS (Comp Sc.) from reputed institute

Core Responsilities

1. Proficiency in Python programming language, including knowledge of core concepts, data structures, and algorithms.

2. Strong understanding of the AWS platform (services like EC2, S3, Lambda, and RDS).

3. Strong understanding of data extraction from different document types (pdf, jpg, png).

4. Familiarity with natural language processing (NLP) techniques and libraries such as NLTK, spaCy, or Gensim.

5. Experience working with SDLC phases, including requirements analysis, design, development, testing, and deployment.

6. Strong problem-solving and analytical skills.

7. Experience with Agile development methodologies.

8. Knowledge of version control systems like Git.

Good-to-Have Skills

1. Experience with AI and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.

2. Knowledge of cloud-based AI services like Amazon SageMaker.

3. Understanding of containerization technologies like Docker and orchestration tools like Kubernetes.