Machine Learning Engineer in Boston, MA at Eliassen Group

Date Posted: 11/18/2020

Job Snapshot

  • Employee Type:
  • Location:
    Boston, MA
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:

Job Description

We have an exciting opportunity for a Machine Learning Engineer with our industry-leading client in Boston, MA.

We will accept corp to corp or w2 contractors. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

The Purpose of Your Role

The individual will engage in high profile data science and artificial intelligence projects working closely with multiple business units to define and implement next generation AI-based production solutions. Candidate must be comfortable in a fast-paced, unpredictable and sometimes ambiguous environment working with current and emerging AI technologies.

This is a multi-disciplinary role requiring both expert model-building and software engineering skills, so the successful candidate will be capable of developing and supporting core, reusable AI capabilities across many areas, and must have a proven record of providing thought leadership on end-to-end AI/machine learning pipelines and related components for other data science associates.

Education and Experience
  • PhD or MS in Computer Science, Physics, Engineering, Information Technology, Applied Mathematics, or related fields with, preferably, 5-7 years of experience prototyping and deploying Machine/Deep Learning solutions into production environments.
  • Hands-on experience with one or more of the following: Deep learning/neural network architectures, reinforcement learning, generative modeling, conversational AI, virtual assistants, automated speech recognition, unstructured text pipelines/modeling, anomaly detection, text summarization, classification, especially with NL/NLU/NLGP-related language models and encoders, e.g., Word2Vec, Glove, Bi-LSTMs, Attention Models, BERT, ALBERT, DeepCT, etc.
  • Expertise with deep learning frameworks/tools such as TensorFlow, PyTorch/PyCharm, Keras, MXNET, and/or H2O
  • Fluent in data science programming languages such as Python, R and at least one other programming language, e.g., C/C++, Scala, Julia, Java, Go, especially on GPU. CUDA experience a plus.
  • Engineering expertise for building production ML/DL model containers and pipelines at scale, specifically with Kubernetes, Docker, and big data technologies, AWS-related experience a plus, e.g., SageMaker, EKS, S3, SQS, Kinesis, Snowflake, shell scripting, etc.
  • In-depth knowledge of software/engineering lifecycle and principles (source control/git, debugging, testing, Jenkins, deployment, model retraining, CI/CD).

Job ID: 346891

About Eliassen Group:

Eliassen Group provides strategic talent solutions to drive our clients’ innovation and business results. Leveraging over 30 years of success, our expertise in IT staffing, Agile consulting, creative services, managed services, and life sciences enables us to partner with our clients to execute their business strategy and scale effectively. Headquartered in Reading, MA and with offices from coast to coast, Eliassen Group offers local community presence, deep networks, as well as national reach. For more information, visit

Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!