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Python Ml Developer Jobs in Merrillville, IN (NOW HIRING)

Grindr

Senior Staff MLOps Engineer

Chicago, IL · On-site

$190K - $315K/yr

... ML workflows. * Excellent engineering fundamentals: Python, SQL, bash, Git. * Experience with big ... data and distributed compute: Snowflake, Spark/pySpark, Airflow, Kubernetes, Docker, Helm.

Pwc

GenAI Python Systems Engineer-Manager

Chicago, IL

$99K - $232K/yr

... and ML solutions to drive innovation and enhance business processes. Your work will involve ... and deploying DevOps pipelines with cloud services - Enhancing cloud resources for cost and ...

Bcbsa

Data Engineer (AI/ML)

Chicago, IL

$118K - $141K/yr

Collaborate with platform and DevOps teams to deploy, scale, and monitor data pipelines using ... Proficiencyin Python, SQL, and distributed data frameworks (PySpark, Databricks, AWS Glue, EMR)

Syndigo

Senior Manager of Data, AI Engineering

Chicago, IL · On-site

$180K - $200K/yr

ML pipelines, model deployment, and MLOps * Modern AI stack (Python, Databricks, cloud platforms ... Track record of improving engineering execution and delivery predictability * Bachelor's or Master ...

Salesforce, Inc.

Lead AI Engineer, Data Solutions

Chicago, IL · On-site +1

$118K - $141K/yr

Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where ... Strong Python experience in production systems * Proven experience building and deploying ML models

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Python Ml Developer information

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How much do python ml developer jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for python ml developer in Merrillville, IN is $57.50, according to ZipRecruiter salary data. Most workers in this role earn between $47.40 and $65.34 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

What are the key skills and qualifications needed to thrive as a Python ML Developer, and why are they important?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
What are popular job titles related to Python Ml Developer jobs in Merrillville, IN? For Python Ml Developer jobs in Merrillville, IN, the most frequently searched job titles are:
What cities near Merrillville, IN are hiring for Python Ml Developer jobs? Cities near Merrillville, IN with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Merrillville, IN as of June 2026, with employment types broken down into 80% Full Time, 15% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $119,609 per year, or $57.5 per hour.

Applied AI Architect

Tata Consultancy Service Limited

Chicago, IL • On-site

$120K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago

Job description

Must Have Technical/Functional Skills
• Python engineering
• Production AI/ML coding
• Databricks
• MLflow
• Azure AI Foundry
• RAG architecture
• LLM application architecture
• Agentic AI patterns
• Evaluation frameworks for models
• AI Ops practices
• Reusable accelerators/templates
Roles & Responsibilities
• Define AI architecture and technical direction
• Work hands-on with engineering teams
• Build reusable AI acceleration patterns
• Deploy production-ready AI/ML solutions
• Implement evaluation frameworks for LLMs/models
• Drive adoption of applied AI practices
• Develop reusable templates and reference implementations
• Python engineering and production AI/ML code
• Databricks and MLflow and even Azure AI Foundry
• RAG and LLM application architecture
• Agentic AI patterns and tool-based workflows
• Evaluation frameworks for LLMs/models
• Reusable accelerators, templates, and reference implementations
Salary Range: $120,000- $150,000 a year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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