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Machine Learning Engineer New Grad Jobs in Valrico, FL

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

... new and novel • approaches to solve challenging problems using Machine Learning, Big Data and ... in engineering large-scale data solutions with Java/Tomcat/ SQL/Linux • Experience working in a ...

Responsibilities : • AIML Model Development • Design build and optimize machine learning and ... new tools and prototype innovative solutions Qualifications : Required : • Strong handson ...

AI Engineer

Tampa, FL · On-site

$50K - $112K/yr

... new technologies and methodologies in AI engineering What You Must Have - At least a Bachelor ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Principal Software Engineer

Tampa, FL · On-site

$122K - $164K/yr

Principal Software Engineer What you will do Let's do this. Let's change the world. In this vital ... machine learning, Generative AI, and agentic systems, and drive adoption of new technologies and ...

Principal Software Engineer

Tampa, FL · On-site

$127K - $171K/yr

Principal Software Engineer What you will do Let's do this. Let's change the world. In this vital ... machine learning, Generative AI, and agentic systems, and drive adoption of new technologies and ...

They are seeking an ML Ops Engineer to design, build, and maintain the infrastructure and pipelines for Machine Learning model training and deployment, collaborating with a cross-functional data team.

Senior Software Engineer

Tampa, FL · On-site

$90 - $140/hr

... Programming methodologies and design patterns. * Develop highly performant backend service ... Integrate Machine Learning components into microservices and collaborate with infrastructure teams ...

Principal Software Engineer

Tampa, FL · On-site

$127K - $171K/yr

Yourexpertisein both machine learning and operations will be essential in creating efficient and reliable ML pipelines.A background in data engineering, including experience with data pipelines and ...

... Machine Learning,Data Science, Data Engineering and Software Engineering. Position Overview ... Working at DPR, you'll have the chance to try new things, explore unique paths and shape your ...

With these new opportunities come increased risks. We work with leading organizations to ensure AI ... Collaborate with data engineers, software engineers, machine learning engineers, architects ...

Showing results 41-60

Machine Learning Engineer New Grad information

See Valrico, FL salary details

$29K

$118.7K

$178.4K

How much do machine learning engineer new grad jobs pay per year?

As of Aug 17, 2026, the average yearly pay for machine learning engineer new grad in Valrico, FL is $118,704.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,600.00 and $142,900.00 per year, depending on experience, location, and employer.

What is a machine learning engineer new grad?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the key skills and qualifications needed to thrive in the machine learning engineer new grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a machine learning engineer new grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What cities near Valrico, FL are hiring for Machine Learning Engineer New Grad jobs?

Cities near Valrico, FL with the most Machine Learning Engineer New Grad job openings:

$52.75 - $69.75/hr

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Job description

Company Description
Job Description
Position Details:
Job Title: Bigdata Engineer
Location: Tampa, FL
Duration: 12+ Months Contract to hire
Job Responsibilities:
Principal Responsibilities
• Design interfaces to the data warehouses/data storages and machine learning/Big Data
• applications using open source tools such as Scala, Java, Python, Perl and shell scripting.
• Design and create data pipelines to maintain stable dataflow to the machine learning models -
• both in batch mode and near real-time mode.
• Interface with Engineering/Operations/System Admin/Data Scientist teams to ensure data
• pipelines and processes fit within the production framework.
• Ensure that tools and environments adhere to strict security protocols.
• Deploy the machine learning model and serve its outputs as RESTful API calls.
• Understand the business needs in close collaborations with subject matter experts (SMEs)
• and Data Scientists to do efficient feature engineering for machine learning models.
• Maintain the code and libraries in code repository.
• Work with system administration team to proactively resolve issues/install tools and libraries
• on the AWS platform.
• Research and come up with architecture and solutions most appropriate for problems at hand.
• Maintain and improve tools to assist Analytics in ETL, retrospective testing, efficiency,
• repeatability, and R&D.
• Lead by example regarding software best practices, including code style and architecture,
• documentation, source control, and testing.
• Support the Chief Data Scientist/Data Scientists/Big Data Engineers in creating new and novel
• approaches to solve challenging problems using Machine Learning, Big Data and Cloud
• technologies.
• Handle ADHOC requirements to create reports for the end users.
Required Skills
• Strong skills with Apache Spark (Spark SQL) and SCALA with at least 2+ years of experience.
• Understanding of AWS Big Data components and tools.
• Strong Java skills with experience in web services and web development is required.
• Hands on experience with model deployment.
• Hands on experience in application deployment on Docker and/or Kubernetes or other similar technology.
• Linux scripting is a plus.
• Fundamental understanding of AWS cloud components.
• 2+ years of experience in data ingesting, cleansing/processing, storing and querying large datasets
• 2+ years of experience in engineering large-scale data solutions with Java/Tomcat/ SQL/Linux
• Experience working in a data intensive role including the extraction of data (db/web/api/etc.), transformation and loading (ETL)
• Exposure with structured and/or unstructured data contents
• Experience with data cleansing/preparation on Hadoop/Apache Spark Ecosystem - MapReduce/Hive/HBase/Spark SQL
• Experience with distributed streaming tools like Apache KAFKA.
• Experience with multiple file formats (Parquet, Avro, OCR)
• Knowledge in AGILE development cycle.
• Efficient coding skills to enhance the performance/cost savings of the job running on AWS platform.
• Experience in building stable, scalable, and high-speed live streams of data and serving web platforms
• Enthusiastic self-starter with ability to work in a team environment.
• Graduate (MS) or Undergraduate degree in Computer Science/ Engineering/relevant field
Nice to have:
• Strong Software development experience
• Machine Learning model deployment experience
• Ability to write custom Map/Reduce programs to clean/prepare complex data
• Familiarity with Streaming data processing - Experience with distributed real time computation system like Apache STORM/Apache Spark Streaming.
Qualifications
Additional Information
All your information will be kept confidential according to EEO guidelines.