1

Weekend Machine Learning Jobs in Lawrenceburg, IN

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

DATA ENGINEER IV

Cincinnati, OH · On-site

$68 - $70/hr

Machine Learning Data Enablement squad in the Data Insights Tribe Required: In office 4 days a week minimum (Monday-Thursday) We're hiring a Data Engineer to join our newly launched Machine Learning ...

AI Software Engineer

Verona, KY · On-site +1

$51.50 - $68.25/hr

If you want to know more about Big Data, artificial intelligence or machine learning and how they are changing the world, your place is here! We are an engineering and innovation company working in ...

The perfect candidate brings a powerful blend of programming prowess, machine learning mastery, and operations research skillfulness, along with the rare ability to translate complex technical ...

Responsibilities : • Build scalable, data-driven tools and analytics solutions that address real client challenges. • Apply optimization, forecasting, machine learning, and predictive analytics ...

Total Quality Logistics is seeking a Data Scientist to design, build, and deploy advanced analytics and machine learning solutions that support business decision-making. The role involves owning ...

The perfect candidate brings a powerful blend of programming prowess, machine learning mastery, and operations research skillfulness, along with the rare ability to translate complex technical ...

New

... machine learning models. • Create dashboards and visualizations to communicate findings. • Collaborate with stakeholders to understand business needs and translate them into data solutions. • ...

Utilizing your expertise in Operations Research (including optimization and simulation) and machine learning models (such as tree models, deep learning, and reinforcement learning), you will directly ...

Apply optimization, forecasting, machine learning, and predictive analytics to guide decision-making. * Develop scalable tools that translate data into action for client leaders and operators.

Apply optimization, forecasting, machine learning, and predictive analytics to guide decision-making. * Develop scalable tools that translate data into action for client leaders and operators.

This role is ideal for someone who combines depth in applied machine learning with strong systems thinking, cross-functional influence, and contributes towards agentic capabilities. Responsibilities:

next page

Showing results 1-20

Weekend Machine Learning information

What cities near Lawrenceburg, IN are hiring for Weekend Machine Learning jobs? Cities near Lawrenceburg, IN with the most Weekend Machine Learning job openings:

Machine Learning Engineer

Bespoke Labs

Covington, KY • On-site

Full-time

Posted 9 days ago


Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination