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Lead AI/ML Systems Architect Job Opening In India, India – Now Hiring HG Insights


Job description

About HG Insights

Headquartered in Santa Barbara, California, HG Insights is the global leader in technology intelligence.

We help the world’s most innovative companies accelerate their go-to-market efforts with precision through advanced data science methodologies and proprietary data assets.

We offer a culture that blends innovation, collaboration, and growth, where each team member is empowered to make a measurable impact.


Role Overview

We are looking for a Staff Machine Learning Engineer to join our growing AI and Data Platform team in Pune, India.

In this role, you will be responsible for designing, building, and scaling ML systems that power our core data intelligence products.

You’ll work at the intersection of data engineering and machine learning, collaborating closely with data scientists, software engineers, and product teams to turn models and agents into robust, production-ready systems.

This is a high-impact role suited for someone who thrives on ownership, scalability, and deploying real-world ML and AI solutions at scale.


Key Responsibilities

ML & AI System Development

  • Design and build end-to-end ML pipelines, from data ingestion and feature engineering to model training, serving, and monitoring.
  • Productionize AI agents, including LLM-backed workflows, multi-step tool use, and API orchestration.
  • Collaborate with data scientists to bring experimental models into stable, high-performing production systems.


MLOps & Infrastructure

  • Implement and maintain MLOps workflows (CI/CD for ML), tracking experiments, managing model versions, and automating retraining.
  • Set up observability for models and agents, including tracing, logging, latency/error tracking, and fallback logic.
  • Ensure infrastructure supports scalability, performance, and compliance requirements.


Technical Leadership & Collaboration

  • Lead technical architecture for key AI and ML systems, ensuring maintainability and extensibility.
  • Partner with product and platform teams to translate business needs into reliable and performant ML solutions.
  • Mentor junior engineers and help elevate technical practices across the engineering org.

Minimum Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 8+ years of industry experience, with at least 4+ years in ML engineering or MLOps.
  • Strong programming skills in Python and experience with ML libraries such as PyTorch, TensorFlow, and scikit-learn.
  • Experience deploying AI agents in production, including retrieval-augmented generation (RAG), multi-step reasoning, and tool-use orchestration.
  • Familiarity with LangChain, LlamaIndex, Haystack, or similar frameworks for agent development.
  • Hands-on with LLMs (OpenAI, Anthropic, Cohere, etc.), embedding models, and vector store integration.
  • Expertise in MLOps tools like MLflow, Airflow, SageMaker, or Kubeflow.
  • Experience with cloud platforms (preferably AWS), Docker/Kubernetes, and large-scale data systems (e.G., Snowflake, Databricks).
  • Excellent problem-solving and system design skills, including CI/CD, testing, and infrastructure-as-code.



Preferred Qualifications

  • Experience with streaming pipelines, online inference, and model monitoring at scale.
  • Exposure to agent memory, feedback loops, or AI workflow orchestration in customer-facing products.
  • Prior contributions to open-source ML or LLM projects are a plus.



Why Join HG Insights?

  • Work on high-impact AI products used by global enterprise customers.
  • Lead the ML engineering strategy and shape our AI platform.
  • Competitive compensation and benefits tailored for India-based employees.
  • A collaborative and innovation-focused team environment.

Required Skill Profession

Computer Occupations


  • Job Details

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The average salary range for a varies, but the pay scale is rated "Standard" in India. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Lead AI/ML Systems Architect typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Lead AI/ML Systems Architect Job Success

HG Insights interview tips for Lead AI/ML Systems Architect

Here are some tips to help you prepare for and ace your Lead AI/ML Systems Architect job interview:

Before the Interview:

Research: Learn about the HG Insights's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Lead AI/ML Systems Architect interview at HG Insights, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the HG Insights's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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