ML Engineer

Job Description

Position Title

ML Engineer

Practice

Product Engineering (XI)

Position Purpose

We are looking for an expert in machine learning to help us extract value from our data. The candidate will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field. The candidate should have at least 4 to 5 years experience in programming and should have at least 3 years experience in Data Science and implementing appropriate algorithms to meet the required business criteria.

Key Accountabilities

·         Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress

·         Managing available resources such as hardware, data, and personnel so that deadlines are met

·         Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability

·         Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world

·         Verifying data quality, and/or ensuring it via data cleaning

·         Supervising the data acquisition process if more data is needed

·         Finding available datasets online that could be used for training

·         Defining validation strategies

·         Defining the preprocessing or feature engineering to be done on a given dataset

·         Defining data augmentation pipelines

·         Training models and tuning their hyperparameters

·         Analyzing the errors of the model and designing strategies to overcome them

·         Deploying models to production

·         Perform statistical analysis and fine-tuning using test results

·         Deep knowledge of math, probability, statistics and algorithms

·         Familiarity with machine learning frameworks (like Keras or PyTorch or Tensorflow) and libraries (like scikit-learn)

Competencies

·         Personal:  Strong interpersonal skills, high energy and enthusiasm, integrity, and honesty; flexible, results oriented, resourceful, problem solving ability, deal effectively with difficult situations, ability to prioritize.

·         Leadership:  Ability to gain credibility, motivate and provide leadership; work with a diverse customer base; maintain a positive attitude. Provide support and guidance to more junior team members, particularly for challenging and sensitive assignments

·         Operations:  Ability to manage multiple projects and products. Perform task at hand in a customer friendly manner while utilizing time and resources efficiently and effectively. Utilize high level expertise to address more difficult situations, both from a technical and customer service perspective.

·         Technical:  Should be an expert senior developer possessing both Architecture and designing skills

Skills:

Sr. No.

Skill (Technical skills, Process/methodology/Role skills)

Expertise (Primary/Desired)

1

Python/Java/R

 Primary

 2

Deep learning framework such as (Keras or PyTorch or TensorFlow)

Primary

3

Analytics & ML using Cloud based Systems (Eg: GCP)

Primary

4

Linux fundamentals

Primary

5

Programming knowledge of NodeJs

Secondary

Education, Experience and Certification

·         PG in Computers or BE in Computers

Organizational Description

At TTEC Digital everything we do, every day, helps our clients fuel exceptional experiences for their customers. Together, we help our clients develop strategic customer experience design, integrate powerful data, and orchestrate industry-leading technology.

We coach our clients to ensure their employees feel valued, happy and rested - because delivering amazing customer experiences is ultimately an employee-first process. The same is true here, it is the people across our TTEC Digital, VoiceFoundry and TTEC Digital teams that fuel truly exceptional experiences.

We embrace the unique, positive, and healthy cultures that our different teams bring, and our leadership prioritizes the promise of work/life balance, continuous education, and high-performance incentives. We have been and will remain a remote first employer, giving you the flexibility to take your career wherever life goes.