Senior IT Analyst – IAM & Office 365

Job Title: AI Engineer

Location: Bengaluru 

Experience: 3 Years 

Working Days: 5 Days

About the Role

We’re reimagining how enterprises interact with documents and workflows—starting with BFSI and healthcare. Our AI-first platforms are transforming credit decisioning, document intelligence, and underwriting at scale. The focus is on Intelligent Document Processing (IDP), GenAI-powered analysis, and human-in-the-loop (HITL) automation to accelerate outcomes across lending, insurance, and compliance workflows.

As an AI Engineer, you’ll be part of a high-caliber engineering team building next-gen AI systems that:

• Power robust APIs and platforms used by underwriters, credit analysts, and financial institutions.
• Build and integrate GenAI agents.
• Enable “human-in-the-loop” workflows for high-assurance decisions in real-world conditions.

Key Responsibilities

• Build and optimize ML/DL models for document understanding, classification, and summarization.
• Apply LLMs and RAG techniques for validation, search, and question-answering tasks.
• Design and maintain data pipelines for structured and unstructured inputs (PDFs, OCR text, JSON, etc.).
• Package and deploy models as REST APIs or microservices in production environments.
• Collaborate with engineering teams to integrate models into existing products and workflows.
• Continuously monitor and retrain models to ensure reliability and performance.
• Stay updated on emerging AI frameworks, architectures, and open-source tools; propose improvements to internal systems.

Required Skills & Experience

• 2–5 years of hands-on experience in AI/ML model development, fine-tuning, and building ML solutions.
• Strong Python proficiency with libraries such as NumPy, Pandas, scikit-learn, PyTorch, or TensorFlow.
• Solid understanding of transformers, embeddings, and NLP pipelines.
• Experience working with LLMs (OpenAI, Claude, Gemini, etc.) and frameworks like LangChain.
• Exposure to OCR, document parsing, and unstructured text analytics.
• Familiarity with model serving, APIs, and microservice architectures (FastAPI, Flask).
• Working knowledge of Docker, cloud environments (AWS/GCP/Azure), and CI/CD pipelines.
• Strong grasp of data preprocessing, evaluation metrics, and model validation workflows.
• Excellent problem-solving ability, structured thinking, and clean, production-ready coding practices.

 2–4 years of experience in machinery manufacturing.

Required Skills:

 Strong negotiation and closing skills

 Commercial awareness and business acumen

 Excellent communication and presentation skills

 Ability to work independently and take ownership

 Target-oriented and revenue-focused approach

 Willingness to travel extensively (Domestic & International preferred)

Key Responsibilities:

 Generate new business opportunities and achieve assigned sales targets.

 Analyze customer requirements, market demand, and competitor activities.

 Conduct techno-commercial presentations and negotiations with clients.

 Manage the complete sales cycle from inquiry generation to order closure.

 Prepare detailed techno-commercial proposals and pricing strategies.

 Maintain strong customer relationships and ensure repeat business.

 Monitor customer satisfaction and resolve commercial or technical concerns.

 Coordinate with design, production, and service teams for smooth project execution.

 Travel for domestic and international client meetings, exhibitions, and trade shows.

 Maintain updated customer database and sales performance reports

Responsibilities: 
Developing and maintaining all server-side network components. 
Ensuring optimal performance of the central database and responsiveness to front-end requests. 

Collaborating with front-end developers on the integration of elements. 

Designing back-end services for various business processes.ses. 

Developing high-performance applications by writing testable, reusable, and efficient code. 

Implementing effective security protocols, data protection measures, and storage solutions. 

Running diagnostic tests, repairing defects, and providing technical support. 

Documenting Node.js processes, including database schemas, as well as preparing reports. 

Recommending and implementing improvements to processes and technologies. 

Keeping informed of advancements in the field of Node.js development. 

Skills: 

Bachelor's degree in computer science, information science, or similar. 

At least two years' experience as a Node.js developer. 

Extensive knowledge of JavaScript, web stacks, libraries, and frameworks. 

Knowledge of front-end technologies such as HTML5 and CSS3. 

Superb interpersonal, communication, and collaboration skills. 

Exceptional analytical and problem-solving aptitude. 

Great organizational and time management skills. 

Availability to resolve urgent web application issues outside of business hours.