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Data Scientist - AI/ML Engineer

Posted: June 11th, 2024
Location: Headquarters

1333 Gateway Drive, Suite 1026
Melbourne, Florida, 32901

MODUS OPERANDI, INC. – CAREER OPPORTUNITY

Position: Data Scientist with AI/ML Expertise

Company: Modus Operandi Inc.

Location: Melbourne, FL

Position Overview: Modus Operandi Inc. is seeking a highly skilled and experienced Data Scientist with a strong background in AI/ML development. The ideal candidate will have a proven track record of designing, developing, and implementing advanced AI and machine learning solutions to address complex business challenges. This role requires a deep understanding of machine learning algorithms, data analysis, and software development, as well as a passion for innovation and problem-solving.

Key Responsibilities:

  • AI/ML Solution Development: Collaborate with cross-functional teams to understand business requirements and translate them into AI/ML solutions. Design, develop, and implement machine learning models and algorithms to address specific business needs, including predictive analytics, recommendation systems, and natural language processing.
  • Data Management: Collect, preprocess, and analyze large datasets to extract meaningful insights and features for model training. Build scalable and efficient machine learning pipelines for model training, validation, and deployment.
  • Model Evaluation and Iteration: Evaluate the performance of machine learning models using appropriate metrics and techniques. Iterate on improvements to achieve higher accuracy and efficiency.
  • Innovation and Advancement: Stay current with the latest advancements in AI/ML technologies and tools. Propose innovative solutions to enhance products and services.
  • Integration and Deployment: Collaborate with software engineers to integrate AI/ML models into production systems, ensuring scalability, reliability, and performance.
  • Mentorship: Provide technical guidance and mentorship to junior team members. Contribute to knowledge sharing and best practices within the team.

Required Skills and Qualifications:

  • Programming and Data Analysis: Proficiency in programming languages such as Python, Java, or C++. Experience with data manipulation and analysis libraries like NumPy, pandas, and scikit-learn.
  • Big Data Technologies: Hands-on experience with big data technologies such as Hadoop, Spark, or Kafka. Proficiency in SQL and database systems.
  • Problem-Solving and Communication: Excellent problem-solving skills, attention to detail, and the ability to work independently and as part of a team. Strong communication and interpersonal skills to explain complex technical concepts to non-technical stakeholders.
  • Cloud Computing: Experience with cloud computing platforms such as AWS, Azure, or Google Cloud.
  • Educational Background: Bachelor’s degree in engineering, Mathematics, or a related field. Advanced degrees preferred.

Specialized Skills:

  • Proficiency in running large language models (LLM) in local environments for sensitive data and specific domain requirements.
  • Understanding of SPARQL and the ability to autogenerate queries to reduce manual creation.
  • Knowledge of AI/ML applications in geolocation and imagery analysis, including object recognition and entity tracking.
  • Ability to evaluate model performance beyond standard benchmarks to meet specific business needs.
  • Expertise in retrieval-augmented generation (RAG) and generating English queries that translate to internal query languages.
  • Skills in annotating and vetting system decisions, retraining based on user input, and incorporating user feedback into training sets.
  • Experience with visual and textual annotation tools for entity and concept extraction.

Additional Competencies:

  • Ingesting and processing large volumes of documents, tagging keywords/key phrases with domain-specific dictionaries.
  • Integrating with large language models (LLM) to autogenerate draft ontologies.
  • Identifying and generating candidate workflows.
  • Semantic tagging and concept extraction to connect or create new ontological concepts.

Equal Opportunity Employer: Modus Operandi Inc. is an Equal Opportunity Employer (EOE) and provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or veteran status.

Join Modus Operandi Inc. and be part of a team that is at the forefront of AI and machine learning innovation, driving impactful solutions in a collaborative and dynamic environment. If you are passionate about AI/ML and have the expertise we are looking for, we encourage you to apply.

Modus Operandi, Inc. is an EOE / AA / Disability / Vet Employer

Employment Application


Military

Your responses to the following question(s) related to Military Service is entirely voluntary, confidential, and will not be used in any employment decision. Your decision not to respond will not in any way affect your opportunity for employment.


Diversity

Your submission of the following information is optional and voluntary. This information will not be used for employment decisions. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protested veteran status, or any other characteristic protected by law.


Disabilities

Because we do business with the goverment, we must reach out to hire and provide an equal opportunity to qualified people disabilities. You are considered an individual with a disability if you have a physical or mental impairment or medical condition that substantially limits a major life activity, or if you have a history or record of such impairment or medical condition.


Protected Veterans

Our company is a Government contactor subject to the Vietnam Era Veterans' readjustment Assistance Act of 1974, as amended by the jobs for Veterans Act of 2002, 38 U.S.C. 4212 (VEVRAA), which requires Government contractors to take affirmative action to employ and advance in employment: (1) disabled veterans, (2) recently separated veterans, (3) active duty wartime or campaign badge veterans, and (4) Armed Forces service medal veterans.


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