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Urgent! Ml ops engineer - 2 Job Opening In Bengaluru – Now Hiring SatSure
We are looking for a Machine Learning Operations Engineer to join our team, to design, build, and integrate ML Ops for large-scale, distributed machine learning systems, focusing on cutting-edge tools, distributed GPU training, and enhancing research experimentation.
About Sat Sure:
Sat Sure is a deep tech, decision Intelligence company that works primarily at the nexus of agriculture, infrastructure, and climate action creating an impact for the other millions, focusing on the developing world.
We want to make insights from earth observation data accessible to all.
Join us to be at the forefront of building a deep tech company from India that solves problems for the globe.
Roles & Responsibilities:
Architect, build and integrate end-to-end life cycles of large-scale, distributed machine learning systems i.e. ML Ops using cutting-edge tools/frameworks.
Develop tools and services for explainability of ML solutions.
Implement distributed cloud GPU training approaches for deep learning models.
Build software/tools that improve the rate of experimentation for the research team and extract insights from it.
Identify and evaluate new patterns and technologies to improve the performance, maintainability, and elegance of our machine learning systems.
Contribute to and execute technical projects to completion.
Collaborate with peers to develop requirements and monitor progress.
Collaborate with engineers across various functions to solve complex data problems at scale.
Qualification:
5 - 8 years of professional experience in implementing MLOps framework to scale up ML in production.
Master’s degree or Ph D in Computer Science, Machine Learning / Deep Learning domains
Must-haves:
Hands-on experience with orchestration and pipeline tools like Kubernetes, Apache Airflow, etc., and ML lifecycle management tools such as MLflow, Sage Maker, or similar, covering model training, inference, evaluation, and deployment.
Proficient in deploying ML models using frameworks like Ray Serve, Torch Serve, Tensor Flow Serving, or NVIDIA Triton Inference Server.
Strong foundation in ML model training frameworks such as Py Torch, Py Torch Lightning, Tensor Flow, etc.
Experience leveraging GPU computing for parallel processing of data and model training.
Solid software engineering skills with a track record of building production-grade systems.
Advanced programming skills in Python.
Proven experience in designing and implementing end-to-end data systems in roles like ML Engineer, ML Platform Engineer, or similar.
Familiarity with cloud-based data processing tools and services such as AWS (S3, ECR, Lambda), Spark, Dask, Elasticsearch, Presto, and SQL.
Exposure to geospatial or remote sensing data is an added advantage.
Core Competencies:
Strong debugging and critical thinking capabilities.
Excellent analytical and problem-solving skills.
Ability to thrive in fast-paced, collaborative team environments.
Benefits:
Medical Health Cover for you and your family, including unlimited online doctor consultations
Access to mental health experts for you and your family
Dedicated allowances for learning and skill development
Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves
Twice a year appraisal
Interview Process:
Intro call
Assessment
Presentation
Interview rounds (ideally up to 3-4 rounds)
Culture Round / HR round
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Unlock Your Ml ops Potential: Insight & Career Growth Guide
Real-time Ml ops 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 Ml ops 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 17713 jobs in India and 1695 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in Ml ops roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! SatSure is currently hiring and seeking a Ml ops engineer 2 to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Ml ops engineer 2 Jobs Bengaluru.
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 SatSure adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Ml ops engineer 2 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 Ml ops engineer 2 typically include Architecture & Construction 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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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Ml ops engineer 2 interview at SatSure, 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 SatSure's products or services and be prepared to discuss how you can contribute to their success.
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