ML Ops Engineer (Healthcare project)

We're looking for an ML Ops Engineer to join the team of our client from the USA - a HealthCare technology company with a global mission of building out a disruptive product using state-of-the-art technology stack.

Requirements:
- At least 4 years’ professional experience in the data and analytics domain working in any capacity from data engineering and business intelligence to data science and machine learning;
- Upper-Intermediate written and spoken English.
Data Science:
- At least 2 years’ experience deploying advanced analytics models in a serverless/containerized environment;
- At least 2 years’ experience with data visualization tools like Cognos, Arcadia, Tableau;
- At least 2 years’ experience with classic ML approaches, NLP, & Deep Learning proficiency;
- At least 2 years’ experience developing enterprise solutions inclusive of Application Monitoring, Build Tools, Version Control, Unit Test, TDD, Change Management to support DevOps.
Data Engineering:
- At least 2 years’ experience with Spark programming (PySpark or Scala);
- At least 2 years’ experience with designing and developing Data Pipelines for Data Ingestion or Transformation using Java or Scala or Python;
- At least 2 years’ experience with SQL and Shell Scripting experience;
- At least 2 years’ experience with Streaming using Spark or Flink or Kafka
Preferred;
Data Engineering/ Data Science:
- Familiarity with operationalizing ML algorithms into production business processes: e.g., experience with containerization (such as Docker, Kubernetes, or Open Shift), competency with MLOps tools (such as Kubeflow, MLflow, Seldon, or Paperspace/Gradient);
- Familiarity with designing, building, and deploying production-level data pipelines using tools from Hadoop stack. Comfortable developing applications that make use of Hive/Impala, HBase, Oozie, Spark, NiFi, Apache Beam, Apache Airflow etc.;
-Some experience in the following Big Data frameworks: File Format (Parquet, AVRO, ORC), Resource Management, Distributed Processing;
Technical Expertise:
- Familiarity with MS Azure, Amazon Web Services (AWS), GCP or another public cloud service;
- Some experience/knowledge in at least one scripting language (Python, Perl, JavaScript);
- Some experience implementing open-source frameworks & exposure to various open source & package software architectures (AngularJS, ReactJS, Node, Elastic Search, Spark, Scala, Splunk, Apigee, and Jenkins etc.).
- Some experience with various NoSQL databases (Hive, MongoDB, Couchbase, Cassandra, and Neo4j) will be a plus


Responsibilities:
- Scale customer data science workloads and implement new pipelines;
- Work directly with data scientists, product owners and customers to integrate models with business processes;
- Deploy and operationalize ML models:
- Model hyperparameter optimization;
- Model training and automated retraining;
- Model workflows onboarding, integration, monitoring, and decommissioning;
- Model version tracking and governance;
- Model drift monitoring.
- Transform complex analytical models in scalable, production-ready solutions;
- Triage, support, resolve and automate anomaly detection for enterprise scale machine learning model deployments.


We offer:
- Competitive compensation based on your skills, experience, and customer satisfaction;
- Opportunity to work on challenging and exciting international projects;
- Flexible working hours and the possibility to work remotely when needed;
-Regular performance evaluation twice a year;
- Long-term contract with 20-25 paid time off working days (for vacation, sick, and personal leave);
- Corporate English courses from A1 to C1 level and monthly English-speaking clubs;
- Compensation of professional conference attendance according to the corporate policy;
- Compensation of medical insurance/gym according to the corporate policy;
- Casual, friendly, and family work environment, flat organizational structure;
- Regular knowledge sharing meetups and various corporate events (such as the company’s Birthday celebration and summer family party);
- Newborn and wedding bonuses;
- Gameroom with a lounge zone, PlayStation, and sports equipment;
- Travel and visa assistance for employees;
- Coffee, cookies, nuts, and dried fruits for a productive day;
- Friday brunches with fresh bakery;
- Yoga lessons;
- Secure bike storage (Odessa).

About Intersog

Headquartered in Chicago, Intersog helps leading brands solve everyday problems by offering innovative custom software development and team placement solutions.

With R&D offices in Europe and North America, the company works with clients in tech, healthcare, financial, logistics, automotive and other industries.

Our Mission:
Intersog is a software construction business. We work to make our customers happy through dedication and professionalism of our crew.

We’re working hard and smart to turn Intersog into a dream team of dedicated professionals able to exceed expectations and impress any client with work approach, culture and quality, timeliness and clear understanding of their business objectives and challenges.

Our Values:
— Dedication and professionalism of our team
— Satisfaction of our clients
— Flexibility & Agility
— Work-life balance

We truly believe that wellbeing of our employees is the key driver of customer success and business growth.

Company website:
http://intersog.com/

DOU company page:
https://jobs.dou.ua/companies/intersog/