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
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- To be responsible for overall service satisfaction, coordination with customers and service professionals, and follow-up throughout the relocation service cycle.
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- Assemble Welcome Kits for all transferees and ensure they are made available to the field consultant well in advance of the scheduled date of service delivery.
- Provide regular updates to the Line Manager with regard to the status of service delivery.
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- Ensure all transferee records in databases are kept updated and complete at all times.
- Provide full notes on all cases handled. Manage and maintain electronic data and relevant documents in the physical files.
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DESIRED SKILLS
- Very good written and spoken English. Knowledge of foreign languages highly desirable.
- Excellent interpersonal skills including active listening, ability to interact confidently with senior executives, and intercultural sensitivity.
- Ability to read and interpret documents such as service agreements, procedural manuals, process maps & tenancy agreements.
- Ability to write routine reports utilizing Word, Excel, and/or Powerpoint.
- Good organizational and time management skills.
- Good arithmetic and analytical skills
ATTITUDES & BEHAVIOURS
- Ability to work proactively and autonomously, applying experience and common sense in both standard and non-standard service scenarios.
- Attention to detail. Willingness to participate and engage in team activities in order to make a contribution towards better service delivery.
- Willingness to learn new skills to be able to work productively.
- Productivity – Manage a fair workload, manage time well, volunteer for additional tasks where workload allows, and show self-initiative to seek out additional value-added assignments when other work is completed.
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- Teamwork – Work effectively in a team environment, be flexible and open-minded, actively share information with other company staff members, foster a team orientated environment, and be sensitive to other workloads.
- Initiative – Tackle problems and take independent action where appropriate, seeks out new responsibilities, generate new ideas, and practice self-development.
- Personal Organisation – Keep information and files organized and accessible, respond quickly to information requests from Line Manager and other company staff.
- Perform other duties as directed by the Manager. This may include assisting with other duties within the Branch in the event that staff is on leave, on holiday, or otherwise indisposed.
- Attend training seminars and other on-job-training programs on behalf of the Branch as arranged by the company, which could include domestic travel.
