Machine Learning Engineer (MD and PA State)
Benefits:
- Health insurance
Key Responsibilities include:
- A. Prototyping, implementing, and optimizing ML algorithms and pipelines for scalability and performance
- B. Integrating ML models into production systems, ensuring seamless deployment and monitoring.
- C. Collaborating with cross-functional teams to understand business requirements and translate them to technical solutions.
- D. Staying up-to-date with the latest developments in ML techniques, tools, and frameworks.
Qualifications :
- A. Proven experience as an ML engineer or similar role
- B. Solid knowledge of ML and deep learning fundamentals with experience in one or more of computer vision, natural language processing, speech, reinforcement learning, generative models, etc.
- C. Knowledge of common ML frameworks and libraries.
- D. Strong programming skills with proven experience implementing ML solutions.
- E. Expertise in data manipulation, exploratory data analysis, and feature engineering
- F. Excellent problem-solving, analytical, and critical thinking skills.
- G. Strong comms and collaboration abilities, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
Education:
- A. BA in relevant field desired.
- B. Masters or PhD in relevant field preferred but not required.
- C. If you have proven experience in the space, we are open to non-traditional pathways (relevant certifications showing you've leveled up in the space, etc).
U.S. Citizenship Requirement:
This position is restricted to U.S. citizens only in accordance with federal contract requirements. Applicants must provide proof of U.S. citizenship (such as a U.S. passport, birth certificate, or Certificate of Naturalization) prior to employment. Non-citizens, including lawful permanent residents (Green Card holders), are not eligible for this role.
Equal Employment Opportunity :
BVA Bears IT Solutions is committed to providing equal employment opportunities. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, genetic information, military/veteran status, or any other characteristic protected by law.
Flexible work from home options available.
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