Key Responsibilities 

Model Development &amp; Deployment 

<ul>
<li>Design, train, and deploy machine learning models with a strong focus on fast, reliable experimentation. </li>
</ul>

<ul>
<li>Build APIs and microservices to serve ML models at scale.</li>
</ul>
 
<ul>
<li>Feature development &amp; Engineering </li>
</ul>

<ul>
<li>Design &amp; deliver asks on backend features &amp; efficiently deliver features. </li>
</ul>

<ul>
<li>Work closely with the analytics, architects &amp; PM to deliver features asks as per ETA. </li>
</ul>

<ul>
<li>Identify solutions that can help us improve scalability, minimize bugs and reduce cost </li>
</ul>

<ul>
<li>Understanding of when to escalate questions/issues that arise during development </li>
</ul>

<ul>
<li>Able to efficiently diagnose bugs and issues </li>
</ul>

<ul>
<li>Familiar with various design and architectural patterns </li>
</ul>

Pipeline &amp; Infrastructure 

<ul>
<li>Develop and maintain data ingestion, preprocessing, and model training pipelines. </li>
</ul>

<ul>
<li>Deploy scalable data and model solutions that improve efficiency across ML workflows. </li>
</ul>

Collaboration &amp; Integration 

<ul>
<li>Work closely with </li>
</ul>

<ul>
<li>Define and execute end-to-end ML solutions from ideation to production. </li>
</ul>

Monitoring &amp; Research 

<ul>
<li>Monitor model performance in production, using statistical methods to ensure robustness. </li>
</ul>

Ownership &amp; Delivery 

<ul>
<li>Lead or contribute to POCs and full-scale ML feature rollouts. </li>
</ul>

<ul>
<li>Manage project deadlines and deliverables in an agile environment. </li>
</ul>
 
Basic Qualifications 

<ul>
<li>Bachelor's degree with 4+ years OR Master's degree with 3+ years in Computer Science, Machine Learning, Data Science, or related field. </li>
</ul>

<ul>
<li>Proven experience in developing and deploying ML models in production. </li>
</ul>

<ul>
<li>Strong proficiency in Python and ML libraries like TensorFlow, PyTorch, or scikit-learn, spark, java &amp; distributed systems. </li>
</ul>

<ul>
<li>Understanding of statistical methods and hypothesis testing. </li>
</ul>

<ul>
<li>Comfortable working with structured and unstructured data. </li>
</ul>

<ul>
<li>Experience working in collaborative, cross-functional teams. </li>
</ul>

<ul>
<li>Loves to code and learn new concepts, technologies and frameworks </li>
</ul>
 
Preferred Qualifications 

<ul>
<li>Demonstrated ability to rapidly validate hypotheses through experimentation. </li>
</ul>

<ul>
<li>Experience in building recommendation systems or similar ML applications. </li>
</ul>

<ul>
<li>Exposure to advertising, ranking, or personalization systems is a significant plus. </li>
</ul>

<ul>
<li>Familiarity with SQL, data warehousing, and distributed data systems. </li>
</ul>

<ul>
<li>Prior research experience or involvement in a data science-focused role. </li>
</ul>

<ul>
<li>Strong mathematical foundation, particularly in statistics and linear algebra. </li>
</ul>

<ul>
<li>Excellent verbal and written communication skills. </li>
</ul>

<ul>
<li>Hands on experience in Databricks is a plus. </li>
</ul>

<ul>
<li>Experience in the ad tech industry a plus </li>
</ul>
 
Why Join Us? 

<ul>
<li>Contribute to a fast-paced and innovative product impacting millions of users. </li>
</ul>

<ul>
<li>Work alongside world-class AI/ML talent in a collaborative environment. </li>
</ul>

<ul>
<li>Opportunity to shape new product lines powered by machine learning and AI. </li>
</ul>

<ul>
<li>Grow with a team that values creativity, ownership, and continuous learning. </li>
</ul>

What do we expect from you?

<ul>
<li>Experience: 2-5 years development experience.</li>
</ul>

<ul>
<li>Education: B.E. / B.Tech in Computer Science or equivalent</li>
</ul>

<ul>
<li>Strong development, coding experience in one or more programming languages like OO Programming (Java), Scala, Spark, Python. Expertise in Data Structures, Algorithms, Concurrency.</li>
</ul>

<ul>
<li>Experience of working on Big Data technologies and applications</li>
</ul>

<ul>
<li>Experience in Micro-services Architecture, multi-threading, performance-oriented programming and designing skills</li>
</ul>

<ul>
<li>Good organization, communication and interpersonal skills</li>
</ul>

<ul>
<li>Must be a proven performer and team player that enjoy challenging assignments in a high-energy, fast growing and start-up workplace</li>
</ul>

<ul>
<li>Must be a self-starter who can work well with minimal guidance and in fluid environment</li>
</ul>

<ul>
<li>Provide good attention to details</li>
</ul>

<ul>
<li>Must be excited by challenges surrounding the development of highly scalable &amp; distributed system for building audience targeting capabilities</li>
</ul>

<ul>
<li>Agility and ability to adapt quickly to changing requirements and scope and priorities.</li>
</ul>

Nice to have skills 

<ul>
<li>Experience of online advertising domain</li>
</ul>

<ul>
<li>Experience of working on massively large scale data systems in production environments</li>
</ul>

<ul>
<li>Experience in leveraging user data for behavioral targeting and ad-relevance</li>
</ul>

<ul>
<li>Experience of Big Data analytics domain</li>
</ul>

<ul>
<li>Experience of building products that are powered by data and insights</li>
</ul>

<ul>
<li>Experience on hosting and deploying application on public cloud like Msft Azure, GCP, AWS. </li>
</ul>

Machine Learning Engineer

Key Responsibilities Model Development &amp; Deployment Design, train, and deploy machine learning models with a strong focus on fast, reliable experimentation. Build APIs and microservices to serve ML models at scale. Feature development &amp; Engineering Design &amp; deliver asks on backend features &amp; efficiently deliver features. Work closely with the analytics, architects &amp; PM to deliver features asks as per ETA. Identify solutions that can help us improve scalability, minimize bugs and reduce cost Understanding of when to escalate questions/issues that arise during development Able to efficiently diagnose bugs and issues Familiar with various design and architectural patterns Pipeline &amp; Infrastructure Develop and maintain data ingestion, preprocessing, and model training pipelines. Deploy scalable data and model solutions that improve efficiency across ML workflows. Collaboration &amp; Integration Work closely with Define and execute end-to-end ML solutions from ideation to production. Monitoring &amp; Research Monitor model performance in production, using statistical methods to ensure robustness. Ownership &amp; Delivery Lead or contribute to POCs and full-scale ML feature rollouts. Manage project deadlines and deliverables in an agile environment. Basic Qualifications Bachelor's degree with 4+ years OR Master's degree with 3+ years in Computer Science, Machine Learning, Data Science, or related field. Proven experience in developing and deploying ML models in production. Strong proficiency in Python and ML libraries like TensorFlow , PyTorch , or scikit-learn, spark, java &amp; distributed systems. Understanding of statistical methods and hypothesis testing. Comfortable working with structured and unstructured data. Experience working in collaborative, cross-functional teams. Loves to code and learn new concepts, technologies and frameworks Preferred Qualifications Demonstrated ability to rapidly validate hypotheses through experimentation. Experience in building recommendation systems or similar ML applications. Exposure to advertising , ranking , or personalization systems is a significant plus . Familiarity with SQL , data warehousing, and distributed data systems. Prior research experience or involvement in a data science-focused role. Strong mathematical foundation, particularly in statistics and linear algebra. Excellent verbal and written communication skills. Hands on experience in Databricks is a plus. Experience in the ad tech industry a plus Why Join Us? Contribute to a fast-paced and innovative product impacting millions of users. Work alongside world-class AI/ML talent in a collaborative environment. Opportunity to shape new product lines powered by machine learning and AI. Grow with a team that values creativity, ownership, and continuous learning. What do we expect from you? Experience: 2-5 years development experience. Education: B.E. / B.Tech in Computer Science or equivalent Strong development, coding experience in one or more programming languages like OO Programming (Java), Scala, Spark, Python. Expertise in Data Structures, Algorithms, Concurrency. Experience of working on Big Data technologies and applications Experience in Micro-services Architecture, multi-threading, performance-oriented programming and designing skills Good organization, communication and interpersonal skills Must be a proven performer and team player that enjoy challenging assignments in a high-energy, fast growing and start-up workplace Must be a self-starter who can work well with minimal guidance and in fluid environment Provide good attention to details Must be excited by challenges surrounding the development of highly scalable &amp; distributed system for building audience targeting capabilities Agility and ability to adapt quickly to changing requirements and scope and priorities. Nice to have skills Experience of online advertising domain Experience of working on massively large scale data systems in production environments Experience in leveraging user data for behavioral targeting and ad-relevance Experience of Big Data analytics domain Experience of building products that are powered by data and insights Experience on hosting and deploying application on public cloud like Msft Azure, GCP, AWS.

Machine Learning Engineer in Thurahalli (UID-12415)

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