Pune, MH, IN
Open 3 months, first seen by us 92 days agoIdentify and prioritize actionable insights with business stakeholders
Design and implement regression, classification, forecasting and deep learning models
Research and build generative AI models such as GANs, VAEs, LLMs and diffusion models
Deploy models into scalable pipelines with engineering and data teams
Present insights and recommendations to stakeholders using visualization
Collaborate with business stakeholders to identify and prioritize actionable insights across core business areas.
Design and implement machine learning models (regression, classification, forecasting, deep learning)
Research, design, and implement generative AI models (GANs, VAEs, LLMs, diffusion models) for business applications.
Work with cloud and data engineers to deploy models using scalable, high-performance machine learning pipelines.
Present insights and recommendations clearly to stakeholders using strong visualization and storytelling techniques.
7+ years of experience in data science and analytics with hands-on model development and deployment.
Proven expertise in generative AI (LLMs, GANs, VAEs) and advanced machine learning techniques.
Strong programming skills in Python and proficiency with ML/DL frameworks (TensorFlow, PyTorch).
Familiarity with big data tools (Spark, Hive, Hadoop), cloud platforms (Azure/AWS/GCP), and MLOps practices.
From the employer’s posting.
Open 3 monthsWe first saw this posting 92 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 92
Up longer than most. Similar jobs usually come down between day 8 and day 60.
Well past AGCO’s usual: its jobs come down by about day 25.
From 11,783 similar postings that came down, and 18 of AGCO’s. Coming down is not always a hire.
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Proven expertise in generative AI (LLMs, GANs, VAEs) and advanced machine learning techniques. - Strong programming skills in Python and proficiency with ML/DL frameworks (TensorFlow, PyTorch). - Familiarity with big data tools (Spark, Hive, Hadoop), cloud platforms (Azure/AWS/GCP), and MLOps practices.
- Strong programming skills in Python and proficiency with ML/DL frameworks (TensorFlow, PyTorch). - Familiarity with big data tools (Spark, Hive, Hadoop), cloud platforms (Azure/AWS/GCP), and MLOps practices. - Excellent communication and visualization skills, with the ability to translate technical insights into business value
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New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Do you want to help solve the world's most pressing challenges? Feeding the world's growing population and slowing climate change are two of the world's greatest challenges. AGCO is a part of the solution! Join us to make your contribution.
We are looking for an experienced professional to design and implement advanced data science and generative AI solutions that drive business impact. This role involves identifying insights, selecting methodologies, developing models, and collaborating with engineering teams to deploy scalable solutions. You will work on cutting-edge generative AI applications while ensuring statistical rigor and operational excellence across the analytics lifecycle.
Your Impact
Analytics & Insights
Collaborate with business stakeholders to identify and prioritize actionable insights across core business areas.Translate business needs and hypotheses into data-driven tasks and computational workflows.
Model Development
Design and implement machine learning models (regression, classification, forecasting, deep learning) and ensure statistical integrity.Conduct proof-of-concept studies to validate feasibility and performance.
Research, design, and implement generative AI models (GANs, VAEs, LLMs, diffusion models) for business applications.Fine-tune and optimize models, conduct experiments, and evaluate outputs for accuracy and reliability.
Deployment & Integration
Work with cloud and data engineers to deploy models using scalable, high-performance machine learning pipelines.Ensure production readiness, including monitoring, retraining, and lifecycle management.
Communication & Adoption
Present insights and recommendations clearly to stakeholders using strong visualization and storytelling techniques.Support adoption of analytics solutions through effective communication and demonstrations.
Your Experience and Qualifications
7+ years of experience in data science and analytics with hands-on model development and deployment.
Proven expertise in generative AI (LLMs, GANs, VAEs) and advanced machine learning techniques.
Strong programming skills in Python and proficiency with ML/DL frameworks (TensorFlow, PyTorch).
Familiarity with big data tools (Spark, Hive, Hadoop), cloud platforms (Azure/AWS/GCP), and MLOps practices.
Excellent communication and visualization skills, with the ability to translate technical insights into business value
Your Benefits
GLOBAL DIVERSITY – Diversity means many things to us, different brands, cultures, nationalities, genders, generations – even variety in our roles. You make us unique!
ENTERPRISING SPIRIT- Every role adds value. We're committed to helping you develop and grow to realize your potential.
POSITIVE IMPACT – Make it personal and help us feed the world.
INNOVATIVE TECHNOLOGIES - You can combine your love for technology with manufacturing excellence – and work alongside teams of people worldwide who share your enthusiasm.
MAKE THE MOST OF YOU – Benefits include health care and wellness plans and flexible and virtual work option…….....
Your Workplace
We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures and perspectives.
Join us as we bring agriculture into the future and apply now!
Please note that this job posting is not designed to cover or contain a comprehensive listing of all required activities, duties, responsibilities, or benefits and may change at any time with or without notice.
AGCO is proud to be an Equal Opportunity Employer
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Pune, MH, IN
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