ML Engineer III

6sense; Bengaluru; On-site; INR 4,000,000 - 6,400,000; Full time

Benefits offered by this job

Health coverage

Parental leave

Stock options

Quarterly learning programs

Wellness days

Job summary

6sense is seeking a ML Engineer III to join the Data Science team in Bengaluru. You will build production‑grade ML and NLP systems that improve customer outcomes and business impact.

You will collaborate with senior ML engineers, product managers, and engineers across the lifecycle, from problem formulation to deployment and monitoring, including GenAI and agentic AI workflows.

Qualifications

• 4–6 years of experience building and deploying ML systems in production.
• Strong foundation in ML, statistics, experimentation and applied data science.
• Experience with predictive models, ranking, and retrieval systems.
• Hands-on NLP with embeddings, transformer models, and retrieval pipelines.
• Proficiency with Python and ML libraries (SciKit-Learn, PyTorch, TensorFlow, XGBoost).
• Experience with distributed data processing frameworks (Spark/Databricks).
• Ability to independently execute projects and communicate clearly.

Responsibilities

• Design, develop, and deploy ML models for production applications.
• Build NLP and transformer models for classification, ranking, and retrieval.
• Contribute to GenAI initiatives, including RAG pipelines and prompt engineering.
• Perform data exploration, feature engineering, model training, evaluation, and analyses.
• Develop scalable data pipelines and production workflows for training and inference.
• Work with structured and unstructured data to generate actionable insights.
• Collaborate with Product, Engineering, and Analytics teams to translate requirements.
• Monitor model performance and retrain in production, ensuring reliability.
• Document solutions and present findings to technical and non-technical stakeholders.
• Contribute to ML best practices, testing, deployment, and observability.

Skills

ML engineering

NLP

Production deployment

Data pipelines

Python

Communication

Cross-functional collaboration

Tools

PyTorch

TensorFlow

scikit-learn

XGBoost

Spark

Databricks

Job description

Our Mission

6sense's mission is to multiply what matters: growth, retention, and efficiency. We envision a future where companies, teams and people reach their full potential.

Our Mission

6sense's mission is to multiply what matters: growth, retention, and efficiency. We envision a future where companies, teams and people reach their full potential.

Our People

People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging. Every 6sensor plays a part in defining the future of our industry‑leading technology. 6sense is a place where difference‑makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career.

About the Role

We are looking for a ML Engineer III to join the Data Science team at 6sense. This role is ideal for someone with a strong foundation in machine learning, NLP, and applied AI who can independently solve business problems and deliver production‑ready solutions.

As a ML Engineer III, you will work closely with senior ML engineers, product managers, engineers, and business stakeholders to build intelligent systems that improve customer outcomes and drive business impact. You will contribute across the full machine learning lifecycle, from problem formulation and experimentation to deployment and monitoring.

The ideal candidate is technically strong, curious, execution‑focused, and eager to work on modern AI systems including LLM‑powered applications, retrieval systems, and intelligent automation workflows.

What You’ll Do

• Design, develop, and deploy machine learning models and AI solutions for business and customer‑facing applications.
• Build and optimize NLP and transformer‑based models for classification, ranking, recommendation, prediction, and retrieval use cases.
• Contribute to GenAI and Agentic AI initiatives, including RAG pipelines, prompt engineering, tool usage, and workflow orchestration.
• Perform data exploration, feature engineering, model training, evaluation, and performance analysis.
• Develop scalable data pipelines and production workflows for model training and inference.
• Work with structured and unstructured data sources to generate actionable insights and build predictive systems.
• Partner with Product, Engineering, and Analytics teams to translate business requirements into technical solutions.
• Monitor model performance in production and contribute to model retraining, evaluation, and continuous improvement processes.
• Participate in design reviews, experimentation, and technical discussions to improve system quality and reliability.
• Document solutions, communicate findings, and present recommendations to both technical and non‑technical stakeholders.
• Contribute to best practices in machine learning development, testing, deployment, and observability.

What We’re Looking For

Required Qualifications

• 4–6 years of experience building and deploying machine learning systems in production environments.
• Strong foundation in machine learning, statistics, experimentation, and applied data science.
• Experience developing predictive models, recommendation systems, classification models, ranking models, or related ML applications.
• Hands‑on experience with NLP techniques, embeddings, transformer models, and retrieval systems.
• Experience working with Python and common machine learning libraries such as Scikit‑learn, PyTorch, TensorFlow, XGBoost, or similar.
• Experience working with distributed data processing frameworks such as Spark or Databricks.
• Familiarity with model deployment, monitoring, and ML lifecycle management.
• Ability to independently execute projects with moderate ambiguity and deliver high‑quality solutions.
• Strong problem‑solving, analytical thinking, and communication skills.
• Ability to collaborate effectively across Data Science, Product, and Engineering teams.

Preferred Qualifications

• Experience working with LLMs, prompt engineering, RAG systems, or agentic AI workflows.
• Familiarity with LangGraph, LangChain, Amazon Bedrock, OpenAI, Anthropic, or similar AI platforms.
• Experience with vector databases, embeddings, and semantic search systems.
• Experience with cloud platforms such as AWS.
• Experience in B2B SaaS, MarTech, AdTech, or customer‑facing AI products.
• Contributions to technical blogs, open‑source projects, research publications, or internal technical communities.

Our Benefits

Full‑time employees can take advantage of health coverage, paid parental leave, generous paid time‑off and holidays, quarterly self‑care days off, and stock options. We’ll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our offices.

We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well‑being is also top of mind for us. We host quarterly wellness education sessions to encourage self care and personal growth. From wellness days to ERG‑hosted events, we celebrate and energize all 6sense employees and their backgrounds.

Equal Opportunity Employer

6sense is an Equal Employment Opportunity and affirmative action employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre‑employment testing, or otherwise participating in the employee selection process, please direct your inquiries to [e-mail].

We are aware of recruiting impersonation attempts that are not affiliated with 6sense in any way. All email communications from 6sense will originate from the @6sense.com domain. We will not initially contact you via text message and will never request payments. If you are uncertain whether you have been contacted by an official 6sense employee, reach out to [e-mail].