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Machine Learning Engineer III

extra holidays - extra parental leave
Remote: 
Full Remote
Contract: 
Salary: 
110 - 150K yearly
Experience: 
Mid-level (2-5 years)
Work from: 
New York (USA), United States

Offer summary

Qualifications:

Master’s degree in computer science or related field with 6+ years experience, Experience with Python, machine learning frameworks, cloud platforms, and server-side development.

Key responsabilities:

  • Design, develop, and deploy ML models to solve complex business problems
  • Integrate machine learning libraries into existing applications
  • Maintain data pipelines for machine learning tasks
  • Lead technical tasks/teams through software development lifecycle
  • Stay updated on AI/ML industry trends
Technergetics logo
Technergetics SME https://www.techngs.com/
51 - 200 Employees
See more Technergetics offers

Job description

 

 

 

Position:  Machine Learning Engineer  III 

 

Beware of fraudulent job offers and postings! 
Technergetics will never extend an offer of employment without a thorough interview process involving face to face interviews either in-person or a virtual Teams meeting from an official Technergetics email address (@techngs.com). If you receive any correspondence from an email other than techngs.com, it is a scam. Pre-interview code testing is only administered through the Codility platform. We will not send out questionnaires or testing through any other platform/site prior to a first interview. 

 

Opportunity Overview:  

Do you want to be an originator throughout the software development process and join a young, hungry, expanding business? Is learning a life-long pursuit for you? Traditional corporate culture (no sea of office cubicles here) not really your thing? Then this may be the place for you. Our software engineers work with teammates both native to the Mohawk Valley and across the country to deliver cutting-edge products to our customers.  As a Machine Learning Engineer III, you will work with peers and mentors to learn and evolve as a coder, task master, and leader. You will gain experience in emerging technologies including AI/ML, Cloud Platforms, and many more.  

 

Position Details    

Salary Range: $110,000-$150,000 a year. This is a full-time exempt position.  

The development work can be performed at various locations including remotely, at the company offices in Utica and Rome, NY, or the Air Force Research Lab (AFRL) in Rome, NY. A 100% remote work arrangement is possible for the right candidate.  

Due to the clearance required for this position, only U.S. citizens are eligible to apply; as outlined in Executive Order 12968: Access to Classified Information, eligibility for access to classified information may only be granted to employees who are United States citizens.     

 

Responsibilities and Duties  

The successful candidate will work in one or more of our Machine Learning (ML) Software products.   

The candidate’s responsibilities and duties will include:  

  • Leads the design, development, and deployment machine learning models and algorithms to solve complex business problems.  
  • Leads integration of state-of-the-art machine learning libraries and frameworks into existing software applications.  
  • Develop and maintain data pipelines for collecting, preprocessing, and transforming data for machine learning tasks.  
  • Develops, enhances, and maintains cloud, data, and software products to support the software platform   
  • Designs software solutions, algorithms, and cloud architectures needed to satisfy product features and functionality defined by product owner and other stakeholders in a production environment    
  • Leads, coaches, and mentors junior data scientists, engineers, and other staff 
  • Contributes to phases of the software development life cycle, including functional analysis, development of technical requirements, technical design, prototyping, coding, testing, deployment, data migration, and support   
  • Participates in daily scrums, works with the scrum master on projects to support delivery timelines and priorities   
  • Organizes and prioritizes team workload with scrum team through story-pointing  
  • Collaborate with cross-functional teams to understand business requirements and translate them into machine-learning solutions. 
  • Perform unit testing and debugging to identify and fix software defects. 
  • Contribute to code reviews and provide constructive feedback to peers. 
  • Stay updated on novel AI/ML approaches, frameworks, and industry trends to continuously improve skills and knowledge. 

 

 

Education and Certifications:  

Graduation from an accredited college or university with a master’s degree in computer science or related field and 6 years of professional experience is preferred; we will also consider candidates with a bachelor’s degree and 8+ years of professional experience. A degree in computer programming, software engineering, or a closely related technical field is required for many of our projects. We will consider candidates with associate degrees or certificates in the areas listed above in combination with experience.   

 

Required Qualifications:  

  • Master’s degree and minimum 6 years of professional experience in machine learning
  • Experience in Python and/or C++ is required
  • Experience with machine learning frameworks like Tensorflow, Pytorch, etc.
  • Experience in evaluating, training, and deploying machine learning models
  • Experience with Jupyter Notebooks
  • Experience in cloud-based computing platforms such as AWS
  • Experience in server-side development (API definitions, REST services, etc.)
  • Experience in containerization technologies and deployment frameworks like Kubernetes or Docker  
  • Experience in application frameworks (Node, Spring, React, React Native, Django, Bootstrap, etc.)  
  • Experience in either Linux or Microsoft Windows platforms  
  • Experience in server-side development (API definitions, REST services, etc.)  
  • Experience with Automated Testing (JUnit, Jest, Cypress, etc.)  
  • Experience with Agile software development techniques and leading one or more tasks to completion   
  • Experience of Command Line environments  
  • Experience with Continuous Delivery/Continuous Integration (DevSecOps, GitLab Pipelines, etc.)  
  • Excellent communication and teamwork abilities
  • Proven ability to lead technical tasks and/or technical teams
  • Ability to thrive in a fast-paced and dynamic environment. 

 

Preferred Qualifications: 

  • Basic experience with Go, Java, C++, and other languages are nice to have
  • Familiarity with Triton Inference Server
  • Knowledge of Resource Description Framework (RDF) and/or ontologies
  • Knowledge of Graph Database(s) or Knowledge Graphs 

 

 

Clearance:  

Applicants selected will be subject to a security investigation and must meet and maintain eligibility requirements for, at minimum, Secret access to classified information.   

 

Travel:  

This position will require up to 5% travel. 

 

Benefits:  

Our benefits package includes health, life, disability, dental, and vision insurance coverage and a 401(k) policy with a 3% company contribution & 3% company match.   

Other perks include generous Paid Time Off (including a PTO “gift day” for your birthday), 11 Federal Holidays per year, two weeks paid maternity/paternity leave, and annual technology “allowances”.  

Wait! Even more perks include referral bonuses, professional recognition awards, healthcare stipends, tuition/education reimbursement (once certain requirements are met), and flexible daily start and stop times for most projects and positions.  

 

Company Description  

Technergetics is a US-based company headquartered in Utica, NY, with employees and clients located throughout the country.  The Utica/Rome area is a hub of cutting-edge cyber technology research, bolstered by the Griffiss Business & Technology Park’s tenants and facilities, including the Air Force Research Lab (AFRL).  At Technergetics, we work with a wide variety of technologies, including mobile and web apps, Quantum computing, machine learning and artificial intelligence, AI-enabled edge devices, and many more.  

 

We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Adaptability
  • Teamwork
  • Communication
  • Leadership

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