JOB TYPE: Freelance, Contract Position (no agencies/C2C - see notes below)
LOCATION: United States only - Remote(TimeZone: PST/CIST| Partial overlap)
HOURLY RANGE: Our client is looking to pay $110 – $145/hr
ESTIMATED DURATION: 40hr/week - Long-term
• Python, Scala • Kafka, Structured Streaming, Kinesis • Spark, Hadoop and Hive • Industrial Software Engineering Experience – CI/CD, Unit Testing, Working on projects with multiple team members.
AI (Artificial Intelligence)
What you’ll be working on
This is a W2/salaried contract. The pay rate reflects the fact it's a W2 engagement.
Responsibilities • Ability to write robust code in one or more of Python, Java and Scala • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) • Experience using Amazon Web Services (EC2, S3 etc) with data at scale • Proficient in core technologies like Spark, Hadoop and Hive. • Excellent communication skills • Ability to work in a team • Design, develop, debug, and modify components of machine learning and deep learning systems and applications, including data pipelines. • Develop and tune model training and inference systems. • Complete documentation and procedures for installation and maintenance. • Actively participate in group technology reviews to critique work of self and others. • Work collaboratively with all members of technical staff. Collaborate with data scientists, program managers, and product managers in the development of assigned components. • Participate in and provide input to requirements definition. • Run machine learning tests and experiments • Implement appropriate ML algorithms • Study and transform data science prototypes • Research and implement appropriate ML algorithms and tools • Select appropriate datasets and data representation methods • Train and retrain systems when necessary • Extend existing ML libraries and frameworks Qualifications • Proven experience as a Machine Learning Engineer or similar role: 4-5 years of experience in software development. • Understanding of data structures, data modeling and software architecture • Knowledge of math, probability, statistics and algorithms • Knowledge of streaming platforms like Kafka and Kinesis. • Basic knowledge of various ML model platforms. • Experience standing up model inferencing API endpoints. • Exposure to No SQL databases like MongoDB. • Experienced in using SQL for querying data from relational tables. • Excellent analytical and problem solving skills with an aptitude for troubleshooting issues. • Degree with strong technical focus (Computer Science, Engineering).
When applying, mention the word CANDYSHOP to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they are human RNDQuMjAwLjExNy4xNjYM