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Director Google Machine Learning Engineer Jobs in Springfield, MA

Deloitte

Forward Deployed Engineer- AWS

Hartford, CT · On-site

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ ... Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services ...

Pwc

AI & GenAI Data Scientist - Manager

Hartford, CT · On-site

$99K - $232K/yr

... engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

1 point system

AI/ML Engineer

Hartford, CT · Remote

A minimum of 6 years of experience in software engineering, data engineering, or machine learning engineering is required. This must include 3 years of experience in data science or artificial ...

ClifyX

MLOps Engineer

Hartford, CT · On-site

ClifyX is seeking an MLOps Engineer to enhance their machine learning operations. The primary responsibilities include developing and automating ML pipelines, deploying models, and ensuring ...

The Hartford

GCP Data Engineer

Hartford, CT · Hybrid

$115K - $138K/yr

Work hands-on with modern cloud technologies including Google Cloud Platform (BigQuery, GCS ... Experience with AI, agentic solutions, intelligent automation, or machine learning-enabled ...

The Hartford

GCP Data Engineer

Hartford, CT · Hybrid

$100K - $151K/yr

Work hands-on with modern cloud technologies including Google Cloud Platform (BigQuery, GCS ... Experience with AI, agentic solutions, intelligent automation, or machine learning-enabled ...

Pwc

CTIO AI Engineering Manager

Hartford, CT

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

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Director Google Machine Learning Engineer information

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$35.9K

$91.6K

$140.5K

How much do director google machine learning engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for director google machine learning engineer in Springfield, MA is $91,611.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,200.00 and $105,600.00 per year, depending on experience, location, and employer.

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Generative AI Automation Engineer - Remote Job

Hartford, CT • Remote

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Full-time

Re-posted 19 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply