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Machine Learning Engineer
Machine Learning EngineerAccrete-ai • New York, New York, United States
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Machine Learning Engineer

Machine Learning Engineer

Accrete-ai • New York, New York, United States
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Office Location : Lower Manhattan, NY - Hybrid

About Accrete :

Accrete AI is a dynamic and innovative company focused on transforming the future of artificial intelligence. We specialize in creating advanced AI solutions that turn complex data into actionable insights, driving real-world impact for businesses and government organizations. Our team thrives on creativity and collaboration, working together to push the boundaries of AI technology.

At the core of our offerings are our AI agents, designed to autonomously analyze data, generate insights, and make intelligent recommendations. These agents help businesses streamline operations, improve decision-making, and also empower government entities to enhance security, intelligence, and operational efficiency

Overview :

We are seeking a skilled mid-level Machine Learning Engineer to join our team. In this role, you will have the opportunity to work on exciting projects that leverage machine learning techniques to build intelligent applications. You will collaborate with a team of talented engineers, researchers and data scientists, contributing to the development of AI solutions that deliver significant value to our clients.

Responsibilities :

  • Work closely with machine learning researchers to facilitate the productionization of large-scale and cutting-edge artifacts (examples : machine learning models, scripts for fine tuning and testing models, etc.), the duties of which can include scaling up modeling / algorithm code and architecting systems that will be deploying the artifacts
  • Work with large datasets to preprocess, clean, and prepare the data for training / inference
  • Design, implement and optimize processing pipelines for scalability and efficiency
  • Architect systems to facilitate research experimentation and artifact evaluation
  • Collaborate with cross-functional teams to understand project requirements and deliver solutions
  • Participate in code reviews, testing, and documentation to ensure high-quality deliverables
  • Assist in mentoring and guiding early-career engineers, sharing best practices and fostering a culture of continuous learning
  • Stay up to date with the latest advancements in machine learning and MLOps-related tools

Qualifications :

Accrete values diverse experiences and we encourage applicants to apply even if you don’t meet all of the following criteria. While having all of the qualifications listed below can certainly make you a strong candidate, we acknowledge that great candidates aren’t defined simply by a list of skills. If you think you have other experiences that would make you a good match for this role, please apply!

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, Math, or a related field
  • 3-5 years of professional experience in machine learning, MLOps or related fields
  • Working knowledge of machine learning concepts, algorithms, and techniques
  • Expert in software engineering principles and software development methodologies
  • Proficiency in Python
  • Experience with latest MLOps tools and machine learning frameworks / libraries (e.g., TensorFlow, PyTorch, scikit-learn)
  • Demonstrated ability to preprocess, analyze, and visualize large datasets
  • Experience with cloud platforms (e.g. AWS, GCP, Azure), related compute and storage systems, and with deploying machine learning models
  • Knowledge of software development best practices, including version control and agile methodologies
  • Experience with containerization and orchestration tools (e.g. Docker, Kubernetes, etc.)
  • Strong problem-solving skills, attention to detail, and the ability to work both independently and as part of a team
  • Excellent communication skills and the ability to collaborate effectively with cross-functional teams
  • Preferred Qualifications :

  • Experience with deep learning architectures and natural language processing
  • Understanding of reinforcement learning and other advanced machine learning techniques
  • Experience deploying LLM-based applications
  • Proven track record of delivering successful machine learning projects in a professional setting
  • Salary Range : 130k-170k

    Benefits :

  • Comprehensive, competitive benefits : health, dental, vision, prescription, long- and short-term disability and life insurance, and a 401(k) (Traditional & Roth)
  • Flexible PTO & all U.S. federal holidays off
  • Daily catered lunch and a kitchen stocked with snacks and beverages
  • Company events include happy hours, team bonding, and more.
  • Accrete is an equal opportunity employer. We evaluate all applications without regard to sex, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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