Senior Machine Learning Engineer (NLP specialization)

Job Title: Lead Engineer – Generative AI

Role Overview

We are looking for a highly skilled Lead Engineer with strong expertise in Generative AI to lead the design and development of scalable, intelligent systems. The ideal candidate will bring deep technical knowledge, strong reasoning ability, and leadership skills to guide teams in building next-generation AI-driven solutions.

This role requires hands-on experience with modern AI frameworks, full-stack development, and cloud technologies, along with the ability to adapt quickly to evolving technologies.

Key Responsibilities

● Lead the architecture, design, and development of AI-powered applications and platforms.

● Drive the implementation of Generative AI solutions, including LLM-based systems and agentic workflows.

● Act as a subject matter expert (SME) for AI and Data & Analytics initiatives.

● Design and implement scalable and efficient LLM orchestration pipelines.

● Collaborate with cross-functional teams including product, data, and engineering.

● Mentor and guide development teams, ensuring best practices in coding, architecture, and AI integration.

● Deliver high-quality data products and analytics-ready solutions for stakeholders.

● Continuously evaluate and adopt emerging technologies in AI/ML and cloud ecosystems.

● Ensure system performance, scalability, and security across all deployments.

Required Skills & Qualifications

Experience

● 6+ years of experience in Python and React development

● 2+ years of hands-on experience in AI/ML / Generative AI

● 4+ years of experience in AWS and SQL (PostgreSQL preferred)

Technical Skills

● Strong expertise in:

○ LangChain & LangGraph

○ Large Language Models (LLMs)

○ LLM orchestration & agentic AI systems

○ Python (backend development & AI integration)

○ React & Node.js (full-stack development)

○ PostgreSQL and database design

○ AWS services (Lambda, EC2, S3, Bedrock, Sagemaker, etc.)

○ OCR technologies and document processing

● Solid understanding of:

○ AI system design patterns

○ Retrieval-Augmented Generation (RAG)

○ Vector databases and embeddings

Leadership & Core Competencies

● Strong problem-solving and reasoning skills

● Proven ability to lead and mentor teams

● Excellent communication and stakeholder management

● Ability to work in a fast-paced, innovation-driven environment

● Passion for continuous learning and adapting to new technologies

Nice to Have

● Experience in the Insurance industry

● Exposure to AI product development or AI venture studios

● Knowledge of compliance and regulatory considerations in AI systems

Technical Leadership: Lead, mentor, and inspire a team of engineers to deliver high-

quality software solutions. Provide technical guidance and support to team members,ensuring adherence to coding standards and best practices.

• Full Stack Development: Hands-on coding in ReactJS, Golang, or Java to contribute

directly to project deliverables. Lead by example, demonstrating best practices in coding,

design, and testing.

• Micro services and Cloud-Native Architecture: Design, implement, and maintain

microservices architecture for scalable and resilient applications. Leverage cloud-native

technologies and principles to build robust and efficient systems.

• Squad Management: Independently manage engineering squads, ensuring effective

collaboration and delivery of project goals. Foster a positive and collaborative team

culture, encouraging innovation and continuous improvement.

• Cross-Functional Collaboration: Collaborate with product managers, UX/UI designers,

and other stakeholders to define project requirements and priorities. Ensure alignment

between technical solutions and business objectives.

• Technology Stack Expertise: Stay updated on industry trends and emerging

technologies. Evaluate and introduce new technologies/tools to enhance the

development process.

Role Description

This is a full-time on-site role for a Business Development Executive. The Business Development Executive will be responsible for new business development, lead generation, business communication, and account management. The role involves identifying and pursuing new business opportunities, establishing and maintaining client relationships, and meeting business targets.

Qualifications

• New business development, lead generation, and business communication skills
• Account management skills
• Excellent interpersonal and communication skills
• Ability to build and maintain relationships with clients
• Strong negotiation and persuasion skills
• Ability to work independently and as part of a team
• Prior experience in business development or sales

Job description

Language known: English / Hindi

Industry: Healthcare / Fitness/ wellness

Education and Experience

· Candidate should be a graduate / Undergraduate

. Six months of healthcare domain would be preferred.

· Excellent Communication skills and listening skills

Responsibilities

·  Have to resolve customer queries over Calls

·  Answering queries politely and provide accurate replies to the query.

· Directing calls to the concerned department and services of the company

·  Diagnostics Knowledge preferable

Key Skills

Customer care, Good communication skill , Telecalling, English, Hindi

As a DevOps Engineer with experience in Kubernetes, you will be responsible for leading and managing a team of DevOps engineers in the design, implementation, and maintenance of the organization's infrastructure. You will work closely with software developers, system administrators, and other IT professionals to ensure that the organization's systems are efficient, reliable, and scalable. 

Specific responsibilities will include: 

• Leading the team in the development and implementation of automation and continuous delivery pipelines using tools such as Jenkins, Terraform, and Ansible. 
• Managing the organization's infrastructure using Kubernetes, including deployment, scaling, and monitoring of applications. 

• Ensuring that the organization's systems are secure and compliant with industry standards. 
• Collaborating with software developers to design and implement infrastructure as code. 
• Providing mentorship and technical guidance to team members. 
• Troubleshooting and resolving technical issues in collaboration with other IT professionals. 
• Participating in the development and maintenance of the organization's disaster recovery and incident response plans. 

To be successful in this role, you should have strong leadership skills and experience with a variety of DevOps and infrastructure tools and technologies. You should also have excellent communication and problem-solving skills, and be able to work effectively in a fast-paced, dynamic environment.