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Machine Learning Engineer New Grad Jobs in New London, CT

Kanak Elite Services Inc

AI Developer

Conantville, CT · On-site

AI Developer Location : Greenwich, CT Hybrid (Need local candidate) Duration : 6+ Months Interview ... Develop and maintain AI and machine learning models using AWS Bedrock, SageMaker, and Python-based ...

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Machine Learning Engineer New Grad information

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$31.3K

$128K

$192.3K

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

As of Jul 25, 2026, the average yearly pay for machine learning engineer new grad in New London, CT is $127,964.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,900.00 and $154,000.00 per year, depending on experience, location, and employer.

What is a Machine Learning Engineer New Grad job?

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 are popular job titles related to Machine Learning Engineer New Grad jobs in New London, CT? For Machine Learning Engineer New Grad jobs in New London, CT, the most frequently searched job titles are:
What cities near New London, CT are hiring for Machine Learning Engineer New Grad jobs? Cities near New London, CT with the most Machine Learning Engineer New Grad job openings:
Machine Learning Engineer New Grad jobs near you
AI Engineer - Software

AI Engineer - Software

General Dynamics Electric Boat

Groton, CT

Full-time

Posted 2 days ago

General Dynamics Electric Boat rating

8.3

Company rating: 8.3 out of 10

Based on 164 frontline employees who took The Breakroom Quiz

68th of 535 rated manufacturers

Job description

The IT Advanced Technology Group at Electric Boat is seeking a highly skilled and innovative AI Engineer to join our team and support the design, development, and deployment of advanced machine learning (ML) and artificial intelligence (AI) solutions. This role involves hands-on work with data wrangling, model development, automated agents, and exploratory research into emerging AI technologies and methodologies. The ideal candidate is both technically strong and forwardthinking, with a passion for applying AI to solve complex business problems.

Responsibilities Include:

Machine Learning & Model Development

  • Design, train, validate, and deploy machine learning models using modern frameworks and best practices.
  • Build endtoend ML pipelines that include data ingestion, preprocessing, feature engineering, training, evaluation, and monitoring.
  • Optimize models for performance, scalability, and efficiency.

Data Wrangling & Analysis

  • Collect, clean, transform, and structure complex datasets from diverse sources.
  • Perform exploratory data analysis to identify trends, anomalies, and opportunities.
  • Develop automation for data processing workflows and ensure high data quality.

AI Agents & Automation

  • Create intelligent agents capable of autonomous decisionmaking, workflow automation, and contextual reasoning.
  • Integrate agents with internal systems, APIs, and knowledge bases.
  • Evaluate agent performance and iterate based on measurable outcomes.

Research & Emerging Technology Exploration

  • Stay current with the rapidly evolving AI/ML landscape, including new algorithms, architectures, tools, and best practices.
  • Prototype innovative AI solutions using cuttingedge techniques such as LLMs, RAG pipelines, multi-agent systems, and generative models.
  • Develop technical briefs, proofs of concept, and recommendations for adopting new technologies.

Collaboration & Communication

  • Work closely with software engineers, data scientists, product teams, and stakeholders to translate business needs into AI solutions.
  • Document technical designs, research findings, and model performance.
  • Provide guidance and mentorship on AI/ML concepts and toolsets.

Required:

  • Bachelor's of Science degree or Master’s degree in Computer Science, Data Science, or AI Engineering
  • 5+ years of  post-graduate related experience in developing software applications

Preferred:

  • Strong proficiency in Python and familiarity with ML libraries such as TensorFlow, PyTorch, scikit-learn, or similar.
  • Strong proficiency with application APIs, web services, and data management approaches in applications
  • Experience with data wrangling tools and technologies (Pandas, SQL, ETL systems).
  • Solid understanding of machine learning algorithms, statistical modeling, and model evaluation.
  • Experience working with LLMs or generative AI models.
  • Knowledge of cloud platforms (Azure, AWS, GCP) and containerization technologies.
  • Experience building AI agents or autonomous systems.
  • Familiarity with vector databases, RAG architectures, or multimodal models.
  • Exposure to MLOps practices (CI/CD, model monitoring, feature stores).
  • Contributions to AI research, open-source tools, or AIrelated publications.
  • Knowledge of distributed computing or GPU optimization.

  • Excellent verbal and written communication skills
  • Strong organizational and interpersonal skills
  • Ability to multi-task in a fast-paced environment
  • Ability to work on a cross-functional team as well as independently
  • Curiosity, adaptability, and enthusiasm for continuous learning.

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