Lead Consultant, Machine Learning Engineer

Lovelytics; Arlington (VA); Remote; USD 90,000 - 130,000; Full time

Job summary

A leading data consultancy is seeking a Machine Learning Engineer (Lead Consultant) to deliver strategic client engagements. The ideal candidate will have experience in ML pipelines, NLP, and strong client management skills. This role allows for remote work in the US and emphasizes collaboration in a dynamic environment.

Benefits

Exciting projects with global clients

Close collaboration with experienced data engineers

Encouragement to challenge the status quo

Qualifications

• 3-5 years' experience in machine learning and big data.
• At least 2 years working directly with clients.
• Ability to deploy pipelines using Databricks.

Responsibilities

• Utilize consulting and technical skills in a client-facing project environment.
• Responsible for execution and lead individual work streams on client engagements.
• Collaborate with team members to successfully deliver on projects.
• Implement security measures for data pipelines.
• Deploy production-level machine learning pipelines.

Skills

Machine Learning

NLP

Data Integrations

Client Management

Databricks

Python

TensorFlow

PyTorch

Communication Skills

Education

B.S. in Computer Science or equivalent

Tools

Spark NLP

Hugging Face Transformers

Data Warehousing

Job description

Overview

Lovelytics is seeking a Machine Learning Engineer (Lead Consultant) with experience delivering strategic Databricks client engagements to join our ML Practice. This Lead Consultant will play a key role in delivering on client engagements related to ML pipelines, NLP, data integrations, and data modeling. Our ideal candidate will have strong consulting experience, technical proficiency in machine learning, and the ability to manage client relationships effectively. We are looking for someone who wants to work in a collaborative, dynamic, and inclusive environment and has a passion for bringing meaning to data.

This role is open to remote candidates in the US as well as Ontario, Canada. This role is not open for work sponsorship at this time.

Primary Responsibilities

• Utilize consulting and technical skills to work in a client-facing project environment independently.
• Be responsible for your own execution and sometimes lead individual work streams on client engagements as assigned and under supervision of engagement lead.
• Collaborate with other team members to successfully deliver on projects.
• Work effectively and directly communicate with both internal and client/partner teams.
• Develop full ownership of your execution on client engagements; participate in project planning and solution stages.
• Hands-on ML engineering tailored to client needs, including MLOps, pipelines, NLP, text generation, and image synthesis.
• Deploy production-level machine learning pipelines to impact the business of our clients.
• Contribute to real-time data processing solutions and managed streaming data.
• Implement security and compliance measures for data pipelines.
• Design and implement version control and branching strategies and integrate them into CI/CD for promoting and testing in higher environments.
• Work with engagement leads and directors to gain exposure in the design and architecture of solutions.

Our Ideal Candidate's Skills and Experiences

• B.S. in Computer Science or equivalent
• 3-5 years' experience in machine learning and big data, with at least 2 years working directly with clients and/or external stakeholders.
• Ability to work with popular NLP frameworks such as Spark NLP or Hugging Face Transformers in PyTorch, TensorFlow, etc.
• Extensive knowledge of data warehousing concepts and hands-on experience deploying pipelines using Databricks
• Data modeling and database design skills and knowledge of version control
• Excellent verbal and written communication skills
• Understands and utilizes Lovelytics tools and client tools

What We Promise You

• Exciting projects with great clients across the world in varying departments and verticals
• The ability to work closely with experienced data engineers and quickly grow and expand your skillset
• The ability to work with all sizes of companies, from Fortune 100 to small local businesses
• A workplace where you are encouraged to challenge the status quo and develop new technologies, methodologies, and processes
• A diverse team consisting of data experts, experience seekers, and entrepreneurial minds that are always pushing to be better

Lovelytics is an Equal Opportunity Employer. This means you don’t have to worry about whether your application process will be fair. We consider all applicants without regard to race, color, religion, age, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, veteran status, or disability.