Software Engineer

Overview

Education: Bachelor’s or master’s in computer science, Software Engineering, or a related field (or equivalent practical experience).

• Hands-On ML/AI Experience: Proven record of deploying, fine-tuning, or integrating large-scale NLP models or other advanced ML solutions.

• Programming & Frameworks: Strong proficiency in Python (PyTorch or TensorFlow) and familiarity with MLOps tools (e.g., Airflow, MLflow, Docker).

• Security & Compliance: Understanding of data privacy frameworks, encryption, and secure data handling practices, especially for sensitive internal documents.

• DevOps Knowledge: Comfortable setting up continuous integration/continuous delivery (CI/CD) pipelines, container orchestration (Kubernetes), and version control (Git).

• Collaborative Mindset: Experience working cross-functionally with technical and non-technical teams; ability to clearly communicate complex AI concepts.

Role Overview

• Collaborate with cross-functional teams to build AI-driven applications for improved productivity and reporting.

• Lead integrations with hosted AI solutions (ChatGPT, Claude, Grok) for immediate functionality without transmitting sensitive data while laying the groundwork for a robust in-house AI infrastructure.

• Develop and maintain on-premises large language model (LLM) solutions (e.g. Llama) to ensure data privacy and secure intellectual property.

Key Responsibilities

• LLM Pipeline Ownership: Set up, fine-tune, and deploy on-prem LLMs; manage data ingestion, cleaning, and maintenance for domain-specific knowledge bases.

• Data Governance & Security: Assist our IT department to implement role-based access controls, encryption protocols, and best practices to protect sensitive engineering data.

• Infrastructure & Tooling: Oversee hardware/server configurations (or cloud alternatives) for AI workloads; evaluate resource usage and optimize model performance.

• Software Development: Build and maintain internal AI-driven applications and services (e.g., automated report generation, advanced analytics, RAG interfaces, as well as custom desktop applications).

• Integration & Automation: Collaborate with project managers and domain experts to automate routine deliverables (reports, proposals, calculations) and speed up existing workflows.

• Best Practices & Documentation: Define coding standards, maintain technical documentation, and champion CI/CD and DevOps practices for AI software.

• Team Support & Training: Provide guidance to data analysts and junior developers on AI tool usage, ensuring alignment with internal policies and limiting model “hallucinations.”

• Performance Monitoring: Track AI system metrics (speed, accuracy, utilization) and implement updates or retraining as necessary.

Job Types: Full-time, Permanent

Pay: ₹30,000.00 - ₹40,000.00 per month

Benefits:

• Health insurance
• Provident Fund

Schedule:

• Day shift
• Monday to Friday

Supplemental Pay:

• Yearly bonus

Work Location: In person

Application Deadline: 30/06/2025
Expected Start Date: 10/06/2025