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Senior Machine Learning Engineer Jobs in Lake Ariel, PA

Senior Data Scientist

Dallas, PA · On-site

$60K - $135K/yr

Senior Data Scientist City: Dallas State/Province: Texas Posting Start Date: 8/10/26 Wipro Limited ... Science, Machine Learning Engineer, Computer Science, Applied Mathematics, Statistics, etc ...

Sr. Product Engineer

Dallas, PA · On-site

$60K - $135K/yr

Job Title: Sr. Product Engineer City: Dallas State/Province: Texas Posting Start Date: 8/24/26 ... Formally mentors teammates and helps guide them to and along needed learning journeys * Observes ...

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Showing results 1-20

Senior Machine Learning Engineer information

See Lake Ariel, PA salary details

$56.4K

$119.9K

$173.9K

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

As of Aug 31, 2026, the average yearly pay for senior machine learning engineer in Lake Ariel, PA is $119,946.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,000.00 and $136,000.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near Lake Ariel, PA are hiring for Senior Machine Learning Engineer jobs?

Cities near Lake Ariel, PA with the most Senior Machine Learning Engineer job openings:

Senior Data Scientist

Wipro Limited

Dallas, PA • On-site

$60K - $135K/yr

Full-time

Medical, Dental, PTO

Posted 19 days ago


Wipro rating

7.2

Company rating: 7.2 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

137th of 226 rated it services


Job description

Job Title: Senior Data Scientist
City: Dallas
State/Province: Texas
Posting Start Date: 8/10/26
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description:
Job Description
Seeking a Senior Data Scientist with 10+ years of experience and a Master's or PhD in a quantitative field. The ideal candidate will have strong Python expertise, hands-on experience building and deploying machine learning pipelines, and a solid foundation in statistical and ML techniques. Experience with Databricks, SQL, cloud platforms, and large-scale data processing is highly preferred, with airline industry experience being a plus.
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Minimum Qualifications - Education & Prior Job Experience
Master or PhD degree with 5+ years of experience in quantitative discipline (e.g., Data Science, Machine Learning Engineer, Computer Science, Applied Mathematics, Statistics, etc.)
Experience in Operations research is mandatory
Python proficiency (production-grade coding, modularization, testing, performance tuning)
Hands on experience with building Gen AI applications - prompt engineering, classifiers, knowledge bases, RAG solutions, LLMs as judges, etc.
Hands-on experience with ML/AI pipeline development and productionization (model deployment, orchestration, monitoring, and optimization)
Depth of knowledge in statistical and machine learning techniques
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Preferred qualifications - Education & Prior Job Experience
Experience with Azure ML, Databricks
Proficiency in SQL and working with data
Experience with ML lifecycle tools (e.g., MLflow, CI/CD, model monitoring)
Practical experience designing, building and deploying machine learning models
Domain knowledge in the airline industry
Experience working in a consulting role
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Skills, Licenses & Certifications
Ability to effectively communicate both verbally and written with all levels within the organization
Demonstrated motivation and aptitude for logical analysis, problem identification, and problem solving
Ability to view data from different angles to employ feature engineering techniques to better represent models
Ability to work on a diverse team with diverse skillsets
5-7 years of experience required
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Describe a great candidate that you are looking for and what skills and experience they will have:
Has experience with LLMs and Agentic AI
Has experience building customer facing Gen AI applications; awareness on guardrails, privacy, cybersecurity concerns
Has proven experience taking ML models from prototype to production with Python and Azure ML; containerize where needed.
Demonstrated strong skills in code optimization, debugging, and system integration.
Understands end-to-end ML lifecycle, including deployment and monitoring.
Is comfortable working with existing codebases and improving them, as well as building new ones from scratch. Clear communication and effective collaboration.
Mandatory Skills: Product Engineering Data Sciences.
Experience: 5-8 Years.
The expected compensation for this role ranges from $60,000 to $135,000 .
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

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