- 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).