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Machine Learning Engineer Opt Jobs in Forest, MS

Wayne Farms LLC

Safety Specialist

Flowood, MS · On-site

Analyze accident data, new processes, and machinery for potential safety and recommending ... Functional/Technical Skills, Action Oriented, Problem Solving, Learning on the Fly, and ...

Wayne Farms LLC

Safety Specialist

Flowood, MS

Analyze accident data, new processes, and machinery for potential safety and recommending ... Functional/Technical Skills, Action Oriented, Problem Solving, Learning on the Fly, and ...

All JobsMachine Learning Engineer Opt JobsMachine Learning Engineer Opt Jobs in Forest, MS

Machine Learning Engineer Opt information

See Forest, MS salary details

$29K

$118.5K

$178K

How much do machine learning engineer opt jobs pay per year?

As of Aug 14, 2026, the average yearly pay for machine learning engineer opt in Forest, MS is $118,481.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,400.00 and $142,600.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

What is the difference between Machine Learning Engineer Opt vs Data Scientist?

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What are some common challenges machine learning engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.

What cities near Forest, MS are hiring for Machine Learning Engineer Opt jobs?

Cities near Forest, MS with the most Machine Learning Engineer Opt job openings:

Machine Learning Engineer Opt jobs near you

Safety Specialist

Wayne Farms LLC

Flowood, MS • On-site

Full-time

Re-posted 16 days ago

Job description

PRIMARY FUNCTION: The Health & Safety Specialist assists the Health & Safety Mgr with the day-to-day tasks for the department including equipment inspection, training, and the development and roll out of policies to prevent injuries to employees.
RESPONSIBILITIES AND TASKS:
  • Partner with internal departments to manage medical, workers compensation, DOT and Process Safety Mgmt activities including completing required paperwork and communication with medical, legal and insurance companies to investigate and resolve incidents
  • Investigate and identify root cause of significant near misses, injuries, and safety events, implement safety abatement measures, and complete all required paperwork in a timely manner; communicate unusual outcomes to appropriate personnel
  • Conduct job hazard and safety analyses, recommend solutions to correct
  • Work with Complex Health & Safety Manager to revise and update safety programs ensuring a compliant, safe, and incident-free work environment
  • Oversee Complex health & safety, environmental and DOT audits to ensure issues are addressed and mitigated, paperwork is completed, and unresolved or repeat issues are communicated to appropriate leader(s)
  • Develop, revise, and deliver safety-based training and hold safety meetings to promote organizational safety and continuous improvement including analyzing current and repeat incidents and developing training to correct issues
  • Analyze accident data, new processes, and machinery for potential safety and recommending resolution
  • Conduct New Hire orientation to ensure onboarding employees understand safety protocols, resources, and contacts within the Complex safety team
  • Perform ergonomic assessments and recommend improvements as needed
  • Assist with the monthly supervisor safety training matrix including gathering required data for the appropriate reports
  • Understand current safety emergency plans and formulate plans for newly identified potential emergencies, maintain and execute if emergency arises
  • Perform additional relevant duties as assigned

SUPERVISOR RESPONSIBILITIES:
  • None. This is an individual contributor role with required competencies: Functional/Technical Skills, Action Oriented, Problem Solving, Learning on the Fly, and Interpersonal Savvy

EDUCATION and CERTIFICATIONS:
  • Bachelors' degree in Occupational Health, Safety, Engineering, Biology or other relevant discipline
    • Combination of Associates' degree and experience may be substituted for 4 year degree
  • First Aid & CPR certification
  • Completion of HAZWOPER training at technician level

EXPERIENCE AND SKILLS:
  • Minimum three (3) years applicable experience in a similar environment
  • Experience in applying OSHA, DOT, and Workers Compensation regulations
  • Strong computer literacy (Microsoft Excel, Word and Outlook)
  • Must have good communication skills, both verbal and written, with the ability to communicate with all levels of the organization in a timely and professional manner; multi-lingual strongly preferred
  • Ability to handle and resolve most issues in an efficient and effective manner while ensuring confidential information is relayed only on a need-to-know basis
  • Excellent organizational skills with the ability to prioritize projects, planning skills, and a high attention to detail
  • Must possess a strong customer-centric attitude, high energy level and a strong sense of urgency

SAFETY REQUIREMENTS:
  • Follow departmental and company safety policies and programs
  • Wear required protective equipment in all areas where mandatory

PHYSICAL REQUIREMENTS:
  • Ability to work extended shifts (holiday, weekend and/or extended) as business need requires
  • Ability to work consistently in cold/ humid or hot/ dusty environments with moderate levels of noise
  • Ability to travel about the facility and around/ under equipment as needed in performance of job duties
  • Ability to frequently reach, bend, stoop, kneel and crawl in performance of job duties
  • Ability to lift/ move 40 lbs
  • Ability to stand up to eight hours

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, protected veteran status, or any other characteristic protected by law.

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