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Entry Level Algorithm Engineer Jobs in Texas (NOW HIRING)

Tihinsurance

Software Engineer

Dallas, TX

... an entry level software engineer position Preferred Qualifications: Knowledge of specific ... Solid foundation in data structures, algorithms, and software design with strong analytical and ...

Viridien

Research Geophysicist

Houston, TX · Hybrid

... algorithms, sequences, or programs with predefined geophysical or engineering content. You will ... Performance based monthly bonus averaging at 10-15% at entry level ( contingent on financial ...

Cgg

Research Geophysicist

Houston, TX · Hybrid

... algorithms, sequences, or programs with predefined geophysical or engineering content. You will ... Performance based monthly bonus averaging at 10-15% at entry level ( contingent on financial ...

Viridien

Research Geophysicist

Houston, TX · Hybrid

... algorithms, sequences, or programs with predefined geophysical or engineering content. You will ... Performance based monthly bonus averaging at 10-15% at entry level ( contingent on financial ...

Paradromics, Inc.

Manufacturing Operator

Austin, TX · On-site

$17.25 - $20.75/hr

AI algorithms then decode this massive amount of brain-data, enabling the seamless translation of ... The Role The Operator I role is an entry-level manufacturing position responsible for reliably ...

Paradromics

Manufacturing Operator

Austin, TX · On-site

$17.25 - $20.75/hr

AI algorithms then decode this massive amount of brain-data, enabling the seamless translation of ... The Role The Operator I role is an entry-level manufacturing position responsible for reliably ...

Daikin

GMC LOGISTICS SOLUTIONS ASSOC

Houston, TX · On-site

$17.50 - $23.75/hr

As an entry level role, further develops knowledge and skills as a logistics solutions specialist ... engineers and supply chain personnel * Ability to apply good judgment & decision-making skills and ...

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Entry Level Algorithm Engineer information

What are the key skills and qualifications needed to thrive as an Entry Level Algorithm Engineer, and why are they important?

To thrive as an Entry Level Algorithm Engineer, you need a solid grasp of computer science fundamentals, mathematical problem-solving, and proficiency in programming languages like Python, C++, or Java, typically supported by a relevant bachelor's degree. Familiarity with algorithm design tools, version control systems (such as Git), and experience with data structures are important technical requirements. Strong analytical thinking, attention to detail, and effective teamwork skills help set candidates apart in this collaborative and precise field. These skills and qualities are essential to developing efficient solutions, ensuring code quality, and contributing effectively to engineering teams.

What are some common challenges faced by Entry Level Algorithm Engineers when transitioning from academic projects to real-world applications?

Entry Level Algorithm Engineers often find that moving from academic projects to real-world applications introduces challenges such as handling messy or incomplete data, optimizing algorithms for performance at scale, and collaborating within interdisciplinary teams. In a professional setting, solutions must meet business requirements and accommodate system constraints, which can differ greatly from controlled academic environments. Additionally, new engineers may need to adapt their communication skills to explain complex algorithms to non-technical stakeholders and integrate their work with existing codebases.

What are Entry Level Algorithm Engineers?

Entry Level Algorithm Engineers are professionals who design, develop, and optimize algorithms, typically as part of a larger software or hardware development team. They usually hold a recent degree in computer science, mathematics, or a related field, and are responsible for implementing algorithms to solve specific problems, analyze data, or improve system performance. Their work often involves programming, testing, and collaborating with other engineers to ensure efficient and reliable solutions. As entry-level employees, they receive guidance from senior engineers and gradually take on more complex tasks as they gain experience.

What is the difference between Entry Level Algorithm Engineer vs Data Analyst?

AspectEntry Level Algorithm EngineerData Analyst
Required CredentialsBachelor's in CS, Math, or related; knowledge of algorithms and programmingBachelor's in Statistics, Math, or related; proficiency in data tools
Work EnvironmentTech companies, R&D labs, software firmsBusiness, finance, marketing departments
Employer & Industry UsageUsed in AI, machine learning, software developmentUsed in business intelligence, reporting, data visualization

Entry Level Algorithm Engineers focus on designing and implementing algorithms, often in software or AI projects, requiring programming skills. Data Analysts interpret data to inform business decisions, emphasizing statistical analysis and data visualization. While both roles require analytical skills and a bachelor's degree, their daily tasks and industry applications differ significantly.

What are the most commonly searched types of Algorithm Engineer jobs in Texas? The most popular types of Algorithm Engineer jobs in Texas are:
What are popular job titles related to Entry Level Algorithm Engineer jobs in Texas? For Entry Level Algorithm Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Entry Level Algorithm Engineer jobs in Texas look for? The top searched job categories for Entry Level Algorithm Engineer jobs in Texas are:
Entry Level Algorithm Engineer jobs near you
Infographic showing various Entry Level Algorithm Engineer job openings in Texas as of May 2026, with employment types broken down into 85% Full Time, 13% Part Time, 1% Contract, and 1% Nights. Highlights an 73% Physical, 3% Hybrid, and 24% Remote job distribution.
Entry Level Data Scientist

Entry Level Data Scientist

SynergisticIT

Fort Worth, TX

Other

Posted 7 days ago

Job description

Job Posting

Synergistic IT is a full-service staffing and placement firm servicing clients in America for the past 12+ years. We are dedicated towards fulfilling the IT needs of our clients. From staffing to full implementation of projects we provide the highest quality IT Services. We intend to deliver exceptional student outcome. We don't just help you secure a tech job but build a solid career in technology.

Job Description

Good understanding of the below models:

  • Identify valuable data sources and automate collection processes
  • Undertake preprocessing of structured and unstructured data
  • Analyze large amounts of information to identify client trends and patterns
  • Classifier, Random Forest Classifier, Nave Bayes, Support Vector Machine
  • Machine Learning Algorithms - Linear Regression, Logistic Regression, Decision Tree
  • Unsupervised/Clustering algorithms
  • NLP models, Deep Learning models for image classification
Desired Candidate Profile

Skills required:

  • Hands on experience Python scripting
  • Hands on experience in building Machine Learning and Artificial Intelligence models
  • Good knowledge on Exploratory Data Analysis (EDA)
  • Hands on experience on platforms - Microsoft Azure/Amazon Web Services
  • Libraries – Numpy, Pands, Scikit learn, Seaborn, Plotly, TensorFLow, Should be able to do data visualisation using Tableau or Excel.
  • Excellent English communication (both oral and written) and reading comprehension skills.
  • Strong analytical and problem-solving skills, with clear attention to detail.

Education Requirement:

Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information Technology/ Electrical Engineering/ Mechanical Engineering.

Benefits:

  • On Job Technical support
  • E- verified
  • Filing of H1b and Green card
  • Full time position

Who should apply:

1. Candidates who have difficulty finding jobs even after completing their bachelors and masters.

2. Candidates who are working on redundant technologies and want to become relevant again to boost their growth.

3. Candidates who want to enhance their skill portfolio.

Candidate who are open to invest 4-5 months in learning about Java or Python and then have a job in the Fortune 500 Companies.

*After training you will get an opportunity to work with companies like Apple, Google, Wells Fargo, Client, PayPal, eBay etc Candidate who are missing the required skills, might be provided an option to enhance their skills, so that they can also apply for the role and can make a career in IT industry.

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