> job detail
6
👽Other
ML Engineer III
6sense · Bengaluru, Karnataka, India
// classified as
Other (Adjacent or hard to classify.)
posted
1d ago
location
Bengaluru, Karnataka, India
languages
python
tools
spark
> stack
pythonsparkpytorchtensorflowxgboost
> description
<div class="content-intro"><p><strong>Our Mission:</strong></p>
<p>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.</p>
<p><strong>Our People:</strong></p>
<p>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. </p></div><p><strong>About the Role : </strong></p>
<p>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.</p>
<p class="s7"><span class="s6">As<span class="Apple-converted-space"> </span></span><span class="s6">a</span><span class="s6"><span class="Apple-converted-space"> ML Engineer III</span></span><span class="s6">, 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.</span></p>
<p class="s7"><span class="s6">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.</span></p>
<p><span class="s6"><strong>What You’ll Do : </strong></span></p>
<ul>
<li class="s7"><span class="s6">Design, develop, and deploy machine learning models and AI solutions for business and customer-facing applications.</span></li>
<li class="s7"><span class="s6">Build and optimize NLP and transformer-based models for classification, ranking, recommendation, prediction, and retrieval use cases.</span></li>
<li class="s7"><span class="s6">Contribute to GenAI and Agentic AI initiatives, including RAG pipelines, prompt engineering, tool usage, and workflow orchestration.</span></li>
<li class="s7"><span class="s6">Perform data exploration, feature engineering, model training, evaluation, and performance analysis.</span></li>
<li class="s7"><span class="s6">Develop scalable data pipelines and production workflows for model training and inference.</span></li>
<li class="s7"><span class="s6">Work with structured and unstructured data sources to generate actionable insights and build predictive systems.</span></li>
<li class="s7"><span class="s6">Partner with Product, Engineering, and Analytics teams to translate business requirements into technical solutions.</span></li>
<li class="s7"><span class="s6">Monitor model performance in production and contribute to model retraining, evaluation, and continuous improvement processes.</span></li>
<li class="s7"><span class="s6">Participate in design reviews, experimentation, and technical discussions to improve system quality and reliability.</span></li>
<li class="s7"><span class="s6">Document solutions, communicate findings, and present recommendations to both technical and non-technical stakeholders.</span></li>
<li class="s7"><span class="s6">Contribute to best practices in machine learning development, testing, deployment, and observability.</span></li>
</ul>
<p><span class="s6"><strong>What We’re Looking For</strong> :</span></p>
<p><strong><span class="s6">Required Qualifications :</span></strong></p>
<ul>
<li><span class="s6">4–6 years of experience building and deploying machine learning systems in production environments.</span></li>
<li><span class="s6">Strong foundation in machine learning, statistics, experimentation, and applied data science.</span></li>
<li><span class="s6">Experience developing predictive models, recommendation systems, classification models, ranking models, or related ML applications.</span></li>
<li><span class="s6">Hands-on experience with NLP techniques, embeddings, transformer models, and retrieval systems.</span></li>
<li><span class="s6">Experience working with Python and common machine learning libraries such as Scikit-learn, PyTorch, TensorFlow, XGBoost, or similar.</span></li>
<li class="s13"><span class="s12">Experience working with distributed data processing frameworks such as Spark or Databricks.</span></li>
<li class="s13"><span class="s12">Familiarity with model deployment, monitoring, and ML lifecycle management.</span></li>
<li class="s13"><span class="s12">Ability to independently execute projects with moderate ambiguity and deliver high-quality solutions.</span></li>
<li class="s13"><span class="s12">Strong problem-solving, analytical thinking, and communication skills.</span></li>
<li class="s13"><span class="s12">Ability to collaborate effectively across Data Science, Product, and Engineering teams.</span></li>
</ul>
<p><strong><span class="s12">Preferred Qualifications :</span></strong></p>
<ul>
<li><span data-contrast="auto">Experience working with LLMs, prompt engineering, RAG systems, or agentic AI workflows.</span><span data-ccp-props="{"134233117":false,"134233118":false,"201341983":0,"335551550":1,"335551620":1,"335559685":720,"335559737":0,"335559738":0,"335559739":0,"335559740":279,"335559991":360}"> </span></li>
<li><span data-contrast="auto">Familiarity with LangGraph, LangChain, Amazon Bedrock, OpenAI, Anthropic, or similar AI platforms.</span><span data-ccp-props="{"134233117":false,"134233118":false,"201341983":0,"335551550":1,"335551620":1,"335559685":720,"335559737":0,"335559738":0,"335559739":0,"335559740":279,"335559991":360}"> </span></li>
<li><span data-contrast="auto">Experience with vector databases, embeddings, and semantic search systems.</span><span data-ccp-props="{"134233117":false,"134233118":false,"201341983":0,"335551550":1,"335551620":1,"335559685":720,"335559737":0,"335559738":0,"335559739":0,"335559740":279,"335559991":360}"> </span></li>
<li><span data-contrast="auto">Experience with cloud platforms such as AWS.</span><span data-ccp-props="{"134233117":false,"134233118":false,"201341983":0,"335551550":1,"335551620":1,"335559685":720,"335559737":0,"335559738":0,"335559739":0,"335559740":279,"335559991":360}"> </span></li>
<li><span data-contrast="auto">Experience in B2B SaaS, MarTech, AdTech, or customer-facing AI products.</span><span data-ccp-props="{"134233117":false,"134233118":false,"201341983":0,"335551550":1,"335551620":1,"335559685":720,"335559737":0,"335559738":0,"335559739":0,"335559740":279,"335559991":360}"> </span></li>
<li><span data-contrast="auto">Contributions to technical blogs, open-source projects, research publications, or internal technical communities.</span><span data-ccp-props="{"134233117":false,"134233118":false,"201341983":0,"335551550":1,"335551620":1,"335559685":720,"335559737":0,"335559738":0,"335559739":0,"335559740":279,"335559991":360}"> </span></li>
</ul><div class="content-conclusion"><p><strong><span data-contrast="auto">Our Benefits:</span></strong><span data-ccp-props="{"201341983":0,"335559685":720,"335559739":160,"335559740":259}"> </span></p>
<p><span data-contrast="auto">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. </span></p>
<p><span data-contrast="none">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.</span><span data-ccp-props="{"134233117":false,"134233118":false,"201341983":0,"335551550":1,"335551620":1,"335559685":720,"335559737":0,"335559738":0,"335559739":160,"335559740":259}"> </span></p>
<p><strong><span data-contrast="auto">Equal Opportunity Employer:</span></strong><span data-ccp-props="{"201341983":0,"335559685":720,"335559739":160,"335559740":259}"> </span></p>
<p><span data-contrast="auto">6sense is an Equal Employment Opportunity and Affirmative Action Employers. 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 </span><span data-contrast="auto"><a href="mailto:jobs@6sense.com">jobs@6sense.com</a><a href="mailto:jobs@6sense.com">.</a></span><span data-ccp-props="{"201341983":0,"335559685":720,"335559739":160,"335559740":259}"> </span></p>
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