Data Science
Machine Learning (ML)Job Description
We are looking for a highly capable machine learning engineer to optimize our deep learning systems. You will be evaluating existing deep learning (DL) processes, do hyperparameter tuning, performing statistical analysis (logging and evaluating model’s performance) to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
You will be working with technologies like AWS Sagemaker, TensorFlow JS, TensorFlow/ Keras/TensorBoard to create Deep Learning backends that powers our application.
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in Deep Learning role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software. To do this job successfully, you need exceptional skills in DL and programming.
Responsibilities
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Consulting with managers to determine and refine machine learning objectives.
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Designing deep learning systems and self-running artificial intelligence (AI) software to
automate predictive models.
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Transforming data science prototypes and applying appropriate ML algorithms and
tools.
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Carry out data engineering subtasks such as defining data requirements, collecting,
labeling, inspecting, cleaning, augmenting, and moving data.
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Carry out modeling subtasks such as training deep learning models, defining
evaluation metrics, searching hyperparameters, and reading research papers.
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Carry out deployment subtasks such as converting prototyped code into production
code, working in-depth with AWS services to set up cloud environment for training,
improving response times and saving bandwidth.
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Ensuring that algorithms generate robust and accurate results.
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Running tests, performing analysis, and interpreting test results.
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Documenting machine learning processes.
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Keeping abreast of developments in machine learning.
Requirements
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Proven experience as a Machine Learning Engineer or similar role.
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Should have indepth knowledge of AWS Sagemaker and related services (like S3).
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Extensive knowledge of ML frameworks, libraries, algorithms, data structures, data
modeling, software architecture, and math & statistics.
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Ability to write robust code in Python & Javascript (TensorFlow JS).
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Experience with Git and Github.
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Superb analytical and problem-solving abilities.
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Excellent troubleshooting skills.
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Good project management skills.
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Great communication and collaboration skills.
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Excellent time management and organizational abilities.
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Bachelor's degree in computer science, data science, mathematics, or a related field;
Master’s degree is a plus.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Marj Technologies
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Location: HSR Layout, Bangalore
Role Type: Full-time
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- Translate devotional and mythology concepts into relatable, user-friendly communication.
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- Build and maintain ad copy libraries and messaging matrices across audience segments, funnel stages, and offer types
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- 3–4 years of experience in performance marketing copywriting for digital products or consumer brands
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Key Responsibilities:
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Preferred Qualifications:
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Drop us a message or apply now to be part of something big.
kindly Mentions your:
-Current Location
-Your Total Experience
-CTC
-ECTC
-N.P-
Let's Grow Together
Job Type: Full-time
Benefits:
- Food provided
- Health insurance
- Paid sick time
- Paid time off
- Provident Fund
Schedule:
- Day shift
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Our client is a leading mid-market investment bank with strong practices around M&A, PE, Capital Markets, Institutional Equities, Wealth Management, Insurance Broking & Portfolio Management Services.
Candidate shall be responsible for:
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Experience: 6 to 10 years of exp in General Insurance Broking / Sales mainly into relationship management.
Other Requirement:
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Informatica PowerCenter, Informatica Change Data Capture, Azure SQL, Azure Data Lake
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Experience:7 to 10 Years
Package:8 to 15 LPA
Notice Period:Immediate Joiners
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon