Urgent! Machine Learning & Data Science Engineer Job Opening In Bengaluru – Now Hiring whitetable.ai
<p><b style="background-color: inherit;">What You'll Work On :</b><br/><br/>- Develop state-of-the-art time series models for anomaly detection and forecasting in observability data.<br/><br/>- Design a root cause analysis system using LLMs, causal analysis, machine learning and anomaly detection algorithms.<br/><br/>- Develop Large Language Models for time series analysis<br/><br/>- Create highly scalable ML pipelines for real-time monitoring and alerting.<br/><br/>- Build and maintain ML Ops workflows for model deployment, evaluation, monitoring, and updates.<br/><br/>- Build frameworks to evaluate AI agents.<br/><br/>- Handle large datasets using Python and its ML ecosystem (e.g., NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch, Statsmodels).<br/><br/>- Use Bayesian methods, Granger causality, counterfactual analysis, and other techniques to derive meaningful system insights.<br/><br/>- Collaborate with other teams to deploy ML-driven observability solutions in production.<br/><br/></p><p><b>What We're Looking For :</b></p><p><b><br/></b></p><p>- 5+ years of hands-on experience in Machine Learning, Time Series Analysis, and Causal Analytics.</p><p><br/></p><p>- Bachelors degree in Computer Science, Mathematics or Statistics.
Masters or PhD is a plus</p><p><br/></p><p>- Strong proficiency in Python and libraries like Scikit-Learn, TensorFlow, PyTorch, Statsmodels, Prophet, or similar.</p><p><br/></p><p>- Deep understanding of time-series modeling, forecasting, and anomaly detection techniques.</p><p><br/></p><p>- Expertise in causal inference, Bayesian statistics, and causal graph modeling.</p><p><br/></p><p>- Experience in ML Ops, model evaluation, and deployment in production environments.</p><p><br/></p><p>- Working knowledge of databases and data processing frameworks (SQL, Spark, Dask, etc.).</p><p><br/></p><p>- Experience in observability, monitoring, or AI-driven system diagnostics is a big plus.</p><p><br/></p><p>- Background in AI Agent evaluation and optimization is a plus.</p><p><br/></p><p>- Working with LLMs, fine-tuning LLMs, LLM Ops, LLM Agents is a big plus</p><p><br/></p><p><b>Our Values :</b></p><p><br/></p><p>- Loyalty & Long-term Commitment - We invest in people who invest in us.</p><p><br/></p><p>- Opinionated yet Open-Minded - We value strong perspectives but encourage constructive discussions.</p><p><br/></p><p>- Passion - We seek individuals who are passionate about their craft.</p><p><br/></p><p>- Humility & Integrity - Honest, transparent, and accountable team members are key.</p><p><br/></p><p>- Adaptability & Self-Sufficiency - Ability to thrive in a fast-paced and evolving environment.</p><p><br/></p><p>- Build Fast and Break Fast - We believe in rapid iteration and learning from failures.</p><br/><b>What You'll Work On:</b><br/><br/>You will be instrumental in building the next-generation Observability platform for automated Root Cause Analysis using LLMs, Machine Learning algorithms.
You will be innovating on building LLMs for time series analysis.
You'll have the opportunity to work with an experienced team, gain deep insights into how startups are built, and be at the forefront of disruptive innovation in Observability.<br/><br/><b>Comp</b> - upto 2Cr+<p></p> (ref:hirist.tech)
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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in Bengaluru, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in Bengaluru, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 19853 jobs in India and 1612 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! whitetable.ai is currently hiring and seeking a Machine Learning & Data Science Engineer to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at whitetable.ai adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning & Data Science Engineer Jobs India varies, but the pay scale is rated "Standard" in Bengaluru. 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.
Key qualifications for Machine Learning & Data Science Engineer typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Machine Learning & Data Science Engineer interview at whitetable.ai, 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 whitetable.ai's products or services and be prepared to discuss how you can contribute to their success.
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