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Machine Learning Manager Jobs in Springfield, MA

ExlService Holdings, Inc.

GCP Cloud Engineer

Hartford, CT · On-site

$115K - $138K/yr

... machine learning use cases. * Support use cases such as: * Patient risk scoring * Quality and safety analytics * Cloud & GCP Engineering * Build and manage data infrastructure using GCP services such ...

Varsity Tutors

Data Science Tutor

Northampton, MA · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Pwc

NGA AI Engineer Manager

Hartford, CT · On-site

$73K - $244K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

Varsity Tutors

Data Science Tutor

Hartford, CT · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

ExlService Holdings, Inc.

GCP Cloud Engineer

Hartford, CT · On-site

$115K - $138K/yr

... machine learning use cases. * Support use cases such as: * Patient risk scoring * Quality and safety analytics * Cloud & GCP Engineering * Build and manage data infrastructure using GCP services such ...

Sensiple Inc.

Lead Python Developer

Hartford, CT · Remote

$141K - $173K/yr

The role focuses on building scalable user centric applications that enable operational teams to monitor investigate and manage alerts generated from advanced analytics and machine learning models.

Pwc

NGA AI Engineer Senior Manager

Hartford, CT · On-site

$91K - $321K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a Senior Manager you will serve as a strategic advisor, leveraging your knowledge to guide large ...

Kinsley Group

AI Solutions Architect

East Granby, CT · On-site

AI & Machine Learning: Familiarity with Python ML libraries, feature engineering, model lifecycle management, AI governance, and development of voice or chatbots leveraging natural language ...

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All JobsMachine Learning JobsMachine Learning Manager JobsMachine Learning Manager Jobs in Springfield, MA

Machine Learning Manager information

See Springfield, MA salary details

$50.8K

$81.4K

$117.6K

How much do machine learning manager jobs pay per year?

As of Jun 17, 2026, the average yearly pay for machine learning manager in Springfield, MA is $81,423.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,800.00 and $92,200.00 per year, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning executive or specialized researcher, often requiring advanced skills, extensive experience, and leadership responsibilities. These roles may involve overseeing AI strategy, managing teams, and working with cutting-edge tools and frameworks, and they are usually found in large tech companies or innovative organizations offering top-tier compensation.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What is a machine learning manager?

A machine learning manager oversees teams developing and deploying machine learning models and algorithms. They coordinate projects, set strategic goals, and ensure technical quality, often requiring knowledge of data science, programming, and project management tools. Their role involves collaboration with data scientists, engineers, and stakeholders to implement AI solutions effectively.

What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, data analysis, and programming languages like Python or TensorFlow. Salaries vary based on experience, location, and industry, but overall, it is considered a well-compensated role in the tech field.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams. Roles requiring high-level strategic thinking, creativity, and emotional intelligence—such as healthcare professionals, educators, and skilled tradespeople—are also likely to persist despite AI advancements. These jobs often involve tasks that are difficult for AI to replicate fully.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Springfield, MA? The most popular types of Machine Learning jobs in Springfield, MA are:
What are popular job titles related to Machine Learning Manager jobs in Springfield, MA? For Machine Learning Manager jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Manager jobs in Springfield, MA look for? The top searched job categories for Machine Learning Manager jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Machine Learning Manager jobs? Cities near Springfield, MA with the most Machine Learning Manager job openings:
Machine Learning Manager jobs near you
GCP Cloud Engineer

GCP Cloud Engineer

ExlService Holdings, Inc.

Hartford, CT • On-site

$115K - $138K/yr

Full-time

Posted 14 days ago

ExlService Holdings rating

8.3

Company rating: 8.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

60th of 428 rated business services

Job description

We are seeking a highly skilled Data Engineer with strong expertise in Python, Google Cloud Platform (GCP), and AI-enabled data solutions. The ideal candidate will build scalable data pipelines and support advanced analytics initiatives within the healthcare domain, with a focus on Medicare Part D data and patient safety outcomes. The ideal profile should reflect a higher level of technical proficiency, problem-solving ability, and domain understanding particularly in building robust data solutions, working with complex healthcare datasets, and collaborating effectively across data science, clinical, and business teams.

  • Technical Skills
  • Strong programming Handson experience in Python/ Pyspark(mandatory)
  • Expertise in:
    • SQL (advanced querying, performance tuning)
    • Data modeling (star/snowflake schemas)
  • Hands-on experience with GCP data services(Big Query, Dataproc)
  • Experience with distributed processing frameworks (e.g., Apache Spark)
  • Familiaritywith CI/CD pipelinesand DevOps practices
  • AI & Machine Learning
  • Experience supporting ML/AI workflows and pipelines
  • Healthcare Domain Knowledge (Preferred but Strongly Desired)
  • Experience working with healthcare datasets(claims, EHR, clinical data)
  • Familiarity with Medicare/Medicaid data structures and reporting
  • Understanding of value-based care and quality measures
  • Patient Safety Knowledge (Preferred)
  • Knowledge of patient safety frameworks and indicators
  • Experience supporting:
    • Quality reporting programs (e.g., CMS measures)
    • Clinical risk and compliance analytics
  • Data Engineering & Pipeline Development
  • Design, develop, and maintain scalable ETL/ELT pipelinesfor structured and unstructured healthcare data.
  • Build robust data ingestion frameworks from multiple sources (Medical claims, RX Claims, Membership etc.).
  • Ensure data quality, integrity, and governanceacross all pipelines.
  • Optimize data workflows for performance, reliability, and cost efficiency on GCP.
  • AI & Advanced Analytics Enablement
  • Collaborate with data scientists to operationalize AI/ML modelsin production environments.
  • Develop feature pipelines and data transformations for machine learning use cases.
  • Support use cases such as:
    • Patient risk scoring
    • Quality and safety analytics
  • Cloud & GCP Engineering
  • Build and manage data infrastructure using GCP services such as:
    • BigQuery
    • Cloud Composer Workflow
    • Cloud Storage
    • Dataproc / Spark
  • Implement data lake and data warehouse architectureson GCP.
  • Ensure compliance with HIPAA and healthcare data security standards.
  • Healthcare & Medicare Data Management
  • Work with Medicare datasetsincluding:
    • Claims data (Part D)
    • Provider and beneficiary data
  • Enable analytics for quality measures, patient outcomes, and regulatory reporting.
  • Patient Safety & Compliance
  • Develop solutions to monitor and improve patient safety indicators (PSIs)and care quality.
  • Build data models supporting:
    • Adverse event detection
    • Medication safety
    • Clinical quality measures
  • Ensure compliance with healthcare regulations and data privacy standards.

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