Algorithm Engineer- Machine Learning Engineer

Overview Algorithm Engineer - Machine Learning Engineer hybrid role in sensor development. This role involves technical ownership of algorithm and data products, and developing roadmaps for continued innovations in machine learning. The ideal candidate will have experience implementing machine learning models on embedded / edge and cloud platforms. Responsibilities Design and develop algorithmic approaches to detect and identify events through multi-sensor fusion, focusing on chemical and gas detection. Research and implement appropriate algorithms and tools, including machine learning, deep learning, and deterministic approaches. Develop machine learning applications according to customer and product requirements. Improve internal tools to process data and analyze algorithm results. Enhance processes for data collection, labeling, and data pipelines. Perform statistical analysis and fine-tuning using test results. Stay updated with developments in the field. Collaborate with engineering and product development teams. Develop roadmaps for algorithm advancements and data applications. Essential Skills Experience with algorithm development using time series data sets. Hands-on experience with embedded systems and sensors. Proficiency in cloud and data architecture, particularly in building machine learning models and workflows for cloud tasks. Expertise in AWS or similar cloud environments. Proficient in embedded C, Python, PyTorch, and microcontrollers. Experience in building APIs and data analysis. Additional Skills & Qualifications BS in Computer Science or related technical degree with 5-10 years of experience. Advanced degrees such as MS or PhD are a plus. Experience with chemical, gas, or similar sensors is highly preferred. Familiarity with standard machine learning frameworks like TensorFlow, Pytorch, and sci-kit-learn. Ability to code in Python and lower-level C / C++ languages. Experience with AWS services like RDS, DynamoDB, Lambda, API Gateway, CloudFormation, IoT, ECS, SageMaker. Understanding of AI and LLM basic principles is optional but beneficial. Work Environment The work environment is primarily office-based, within a growing company with a niche in sensor development. Join a team focused on cutting-edge technology in a supportive and innovative atmosphere. Job Type & Location This position is Hybrid . Based out of Rockville, Maryland. Pay and Benefits The pay range for this position is $54.00 - $75.00 / hr. Eligibility requirements apply to some benefits and may depend on job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. Available For This Temporary Role May Include The Following Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off / Leave (PTO, Vacation or Sick Leave) Workplace Type This is a hybrid position in Rockville,MD. Application Deadline This position is anticipated to close on Sep 25, 2025. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Business Consulting and Services J-18808-Ljbffr