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 uptodate 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 finetuning 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 scikitlearn)
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 industryleading technology.
We coach our clients to ensure their employees feel valued happy and rested because delivering amazing customer experiences is ultimately an employeefirst 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 highperformance incentives. We have been and will remain a remote first employer giving you the flexibility to take your career wherever life goes.