ML Associate Engineer Job Openings in Pune 2026!!!
EATON announced job vacancy for the post of ML Associate Engineer. The place of posting will be at Pune (Hybrid). Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows
Company Overview
| Name of the Company | EATON |
| Required Qualifications | Graduate |
| Skills | TensorFlow, PyTorch, or Scikit-learn |
| Category | Research & Development Engineering |
| Work Type | Hybrid |
Eaton is power management company with 2018 sales of $21.6 billion. They make what matters work. Everywhere you look—from the technology and machinery that surrounds them, to the critical services and infrastructure that they depend on every day—you’ll find one thing in common. It all relies on power. That’s why Eaton is dedicated to improving people’s lives and the environment with power management technologies that are more reliable, efficient, safe and sustainable. Because this is what matters. They are confident they can deliver on this promise because of the attributes that their employees embody. They’re ethical, passionate, accountable, efficient, transparent, and they’re committed to learning. These values enable them to tackle some of the toughest challenges on the planet, never losing sight of what matters.
Job Details
Θ Positions: ML Associate Engineer
Θ Job Location: Pune (Hybrid)
Θ Salary: As per company standards
Θ Job Type: Full Time
Θ Requisition ID: 67191
Roles and Responsibilities:
- Maintain the infrastructure and tools required to deploy machine learning models at scale.
- Develop and maintain Data Engineering pipelines, continuous integration, and deployment (CI/CD) pipelines for machine learning models.
- Develop, train, and validate machine learning models to address business needs.
- Understanding the challenges in productionizing machine learning software and collaborating with data scientists to ensure that the software best practices, templates and other MLOps principles are integrated to reduce cycle time.
- Develop and maintain documentation and training materials for machine learning solutions.
- Keep up to date with emerging technologies and trends in machine learning and cloud infrastructure.
Required Skills & Qualifications:
- Requires a minimum of a Bachelor level degree in computer science or equivalent software engineering discipline.
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
Skills:
- Fresher with understanding in machine learning, software engineering, or related field.
- Understanding of machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Understanding of writing data engineering pipeline code with coding best practices.
- Understanding of CI/CD pipelines and containerization technologies such as Docker and Kubernetes.
- Understanding of algorithms such as regression, classification, clustering and deep learning.
- Strong analytical and problem-solving skills.
- Excellent communication skills and ability to work collaboratively with other teams
Required:
- Fresher with understanding in machine learning, software engineering, or related field.
- Understanding of machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Understanding of cloud infrastructure such as AWS, Azure, or GCP.
- Understanding of writing data engineering pipeline code with coding best practices.
- Understanding of CI/CD pipelines and containerization technologies such as Docker and Kubernetes.
- Understanding of algorithms such as regression, classification, clustering and deep learning.
- Understanding of software engineering best practices, including version control, testing, and deployment.
- Strong analytical and problem-solving skills.
- Excellent communication skills and ability to work collaboratively with other teams.
- Ability to manage multiple projects and priorities in a fast-paced environment.
Desired Expertise (in one or more of the following areas):
- Professional certification in Machine Learning or related field.
- Understanding of data engineering and data warehousing concepts.
- Understanding of big data technologies such as Hadoop, Spark, or Kafka.
- Familiarity with DevOps practices and tools.
- Familiarity with monitoring and logging tools such as ELK, Grafana, or Prometheus.
- Familiarity with Agile methodologies.”
- Excellent verbal and written communication skills including the ability to effectively explain technical solutions as a part of virtual and global teams
- Good interpersonal, negotiation and conflict resolution skills
- Ablity to understand academic research and apply new data science techniques
- Innate curiosity
- Problem solving skills- Self-directed and drive to learn – a person, who with time in his/her hands, will independently find interesting ways to push the envelope while learning new skills and growing Self and the team.
- Team player- we work in small, fast-moving teams
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The information provided on this page is intended solely for informational purposes for Students, Freshers & Experience candidates. All the recruitment details are sourced directly from the official website and pages of the respective company. Latest MNC Jobs do not guarantee job placement, and the recruitment process will follow the company’s official rules and Human Resource guidelines. Latest MNC Jobs do not charge any fees for sharing job information. Latest MNC Jobs strongly advise Students, Freshers & Experience candidates not to make any payments for any job opportunities.
