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Python Ml Developer Jobs in Centereach, NY (NOW HIRING)

Deloitte

Agentic AI, AI & Data Science Engineer

Stamford, CT

$122K - $146K/yr

... AI/ML solutions using Python * 1+ years of direct experience developing agentic AI systems ... Amazon Q Business & Q Developer (enterprise AI assistant and code generation capabilities); Cognito ...

New

Gartner

Sr. Data Scientist

Stamford, CT · On-site

Lead data science projects in close collaboration with Data Engineering, Application development ... ML research into production systems * Experience and proficiency with Python, machine learning ...

Cisco

Applied AI Scientist

Stamford, CT

Collaborate with engineering, product, and data science teams to understand requirements ... Explore and evaluate new AI/ML techniques, tools, and methodologies, applying relevant innovations ...

New

Optimum

Software Dev Engineer III

Bethpage, NY · On-site

$58.75 - $79/hr

Job Summary Highly skilled full stack Java/Oracle Developer with a minimum of 7 years of software ... Strong understanding of AI/ML concepts, including model training, evaluation, and deployment

Optimum

Software Dev Engineer III

Bethpage, NY · On-site

$58.75 - $79/hr

Job Summary Highly skilled full stack Java/Oracle Developer with a minimum of 7 years of software ... Strong understanding of AI/ML concepts, including model training, evaluation, and deployment

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All JobsPython Ml Developer JobsPython Ml Developer Jobs in Centereach, NY

Python Ml Developer information

See Centereach, NY salary details

$13

$61

$90

How much do python ml developer jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for python ml developer in Centereach, NY is $61.33, according to ZipRecruiter salary data. Most workers in this role earn between $50.53 and $69.66 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 cities near Centereach, NY are hiring for Python Ml Developer jobs? Cities near Centereach, NY with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Centereach, NY as of July 2026, with employment types broken down into 81% Full Time, 9% Part Time, 1% Temporary, and 9% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $127,567 per year, or $61.3 per hour.
Agentic AI, AI & Data Science Engineer

Agentic AI, AI & Data Science Engineer

Deloitte

Stamford, CT

$122K - $146K/yr

Other

Posted 2 days ago

Deloitte rating

8.0

Company rating: 8.0 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

71st of 146 rated financial services

Job description

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 7/31/2026.

Work you'll do

As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements.

Working within an engagement team, your responsibilities include, among others:

  • Managing day-to-day interactions with executive clients, stakeholders, and sponsors
  • Managing and delivering components of client engagements focused on identifying, designing, and implementing both technology and creative business solutions for large companies
  • Managing small teams to identify business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing, training, defining support procedures. Your background in technology will provide the foundation to manage these streams but also understand the technology
  • Creation and development of project scope and schedule. Plan and assign resources to associated tasks and deliverables
  • Monitoring progress of the project, identify, and quantify variances, perform required corrective actions
  • Managing changes to project scope, project schedule, and project costs to keep the project plan accurate, updated, as defined in the change management plan
  • Identifying high-level risks, assumptions, and constraints. Implement approved actions and workarounds to minimize the impact of risks on the project
  • Developing and maintaining communication with key project stakeholders and decision makers

The team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

  • 4+ years of experience delivering AI/ML solutions, with at least 1 year focused on Generative AI, Agentic AI or multi-agent systems
  • 2+ years of hands-on experience building AI/ML solutions using Python
  • 1+ years of direct experience developing agentic AI systems, including agent orchestration, tool integration, and autonomous decision-making workflows (ie: LangChain; Semantic Kernel, AutoGen, Strands; CrewAI. LangGraph) to include:

Azure: AI Foundry (design, deployment, orchestration of AI/agentic applications); OpenAI Service (LLM integration for reasoning, planning, and tool use); Cognitive Search & Vector DBs (retrieval, memory, context for agents); Cognitive Services (vision, speech, and language APIs for agent capabilities); Entra ID & Key Vault (identity, security, compliance for AI workloads); 

and/or

AWS: Amazon Bedrock (foundation models, model evaluation, and agent orchestration); Knowledge bases (retrieval, metadata filtering, re-ranking), Guardrails, Prompt Flows, and RAG pipelines for enterprise-grade agentic solutions; Lambda, ECR and EC2 based deployment; Amazon Q Business & Q Developer (enterprise AI assistant and code generation capabilities); Cognito (identity, security, compliance for AI workloads); IAM, Secrets Manager, and KMS; 

and/or

GCP: Vertex AI (e.g., Model Garden, Agent Builder, custom training); Gemini API and Google AI Studio; BigQuery (for data processing and analytics); Cloud Run, Cloud Functions, and GKE (for agent deployment)

  • 1+ years experience leading project workstreams/engagements, translating business problems into AI solutions, and delivering measurable outcomes
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related field
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • Prior consulting experience in client-facing delivery roles
  • Experience in creating critical collaterals for client workshops and customer interactive sessions
  • Presentation skills with a high degree of comfort with both large and small audiences
  • Experience building multi-agent systems (task delegation, coordination, and autonomous decision-making)
  • Certifications: Azure AI Engineer Associate, Azure Solutions Architect Expert; AWS Certified Machine Learning - Specialty, AWS Certified Solutions Architect - Professional; Professional Machine Learning Engineer, Professional Cloud Architect
  • Experience with LLM prompt engineering, fine-tuning, and RAG (Retrieval Augmented Generation) architecture
  • Experience with MLOps / AIOps (monitoring, governance, lifecycle), CI/CD pipelines, and cloud-native application development
  • Experience with API design, microservices architecture, and event-driven systems

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000 to $240,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 7/31/2026.

Work you'll do

As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements.

Working within an engagement team, your responsibilities include, among others:

  • Managing day-to-day interactions with executive clients, stakeholders, and sponsors
  • Managing and delivering components of client engagements focused on identifying, designing, and implementing both technology and creative business solutions for large companies
  • Managing small teams to identify business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing, training, defining support procedures. Your background in technology will provide the foundation to manage these streams but also understand the technology
  • Creation and development of project scope and schedule. Plan and assign resources to associated tasks and deliverables
  • Monitoring progress of the project, identify, and quantify variances, perform required corrective actions
  • Managing changes to project scope, project schedule, and project costs to keep the project plan accurate, updated, as defined in the change management plan
  • Identifying high-level risks, assumptions, and constraints. Implement approved actions and workarounds to minimize the impact of risks on the project
  • Developing and maintaining communication with key project stakeholders and decision makers

The team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

  • 4+ years of experience delivering AI/ML solutions, with at least 1 year focused on Generative AI, Agentic AI or multi-agent systems
  • 2+ years of hands-on experience building AI/ML solutions using Python
  • 1+ years of direct experience developing agentic AI systems, including agent orchestration, tool integration, and autonomous decision-making workflows (ie: LangChain; Semantic Kernel, AutoGen, Strands; CrewAI. LangGraph) to include:

Azure: AI Foundry (design, deployment, orchestration of AI/agentic applications); OpenAI Service (LLM integration for reasoning, planning, and tool use); Cognitive Search & Vector DBs (retrieval, memory, context for agents); Cognitive Services (vision, speech, and language APIs for agent capabilities); Entra ID & Key Vault (identity, security, compliance for AI workloads); 

and/or

AWS: Amazon Bedrock (foundation models, model evaluation, and agent orchestration); Knowledge bases (retrieval, metadata filtering, re-ranking), Guardrails, Prompt Flows, and RAG pipelines for enterprise-grade agentic solutions; Lambda, ECR and EC2 based deployment; Amazon Q Business & Q Developer (enterprise AI assistant and code generation capabilities); Cognito (identity, security, compliance for AI workloads); IAM, Secrets Manager, and KMS; 

and/or

GCP: Vertex AI (e.g., Model Garden, Agent Builder, custom training); Gemini API and Google AI Studio; BigQuery (for data processing and analytics); Cloud Run, Cloud Functions, and GKE (for agent deployment)

  • 1+ years experience leading project workstreams/engagements, translating business problems into AI solutions, and delivering measurable outcomes
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related field
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • Prior consulting experience in client-facing delivery roles
  • Experience in creating critical collaterals for client workshops and customer interactive sessions
  • Presentation skills with a high degree of comfort with both large and small audiences
  • Experience building multi-agent systems (task delegation, coordination, and autonomous decision-making)
  • Certifications: Azure AI Engineer Associate, Azure Solutions Architect Expert; AWS Certified Machine Learning - Specialty, AWS Certified Solutions Architect - Professional; Professional Machine Learning Engineer, Professional Cloud Architect
  • Experience with LLM prompt engineering, fine-tuning, and RAG (Retrieval Augmented Generation) architecture
  • Experience with MLOps / AIOps (monitoring, governance, lifecycle), CI/CD pipelines, and cloud-native application development
  • Experience with API design, microservices architecture, and event-driven systems

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000 to $240,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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