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Remote Python Ai Jobs in Connecticut (NOW HIRING)

E-Solutions

AI/ML Tech Lead / Architect

Hartford, CT · On-site +1

... they can work remote. This is the least preferred option. Detailed * Collaborate with cross ... Vertex AI & Python in the context of Conversational AI. * Design, build, and deploy machine ...

FAVARH

Cloud Security Engineer

Windsor, CT · Remote

This role is remote with the expectation that candidates are based near one of the following Voya ... Familiarity withAI Security Posture Management (AI-SPM)andMLOpssecurityis a strong plus as Voya ...

Apexon

$88K - $119K/yr

... ai, Applitools, or similar). Advanced proficiency in scripting languages such as Python, Java, or ... Remote work Our Commitment to Diversity We are an equal opportunity employer committed to building ...

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Remote Python Ai information

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

To thrive as a Remote Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and relevant certifications such as TensorFlow Developer are highly valued. Exceptional problem-solving abilities, self-motivation, and effective remote communication skills help set professionals apart in this distributed role. These capabilities are critical for developing robust AI solutions, collaborating across virtual teams, and delivering impactful results in a rapidly evolving field.

What are Remote Python AI jobs?

Remote Python AI jobs are positions that involve developing, implementing, or maintaining artificial intelligence solutions using the Python programming language, all while working from a remote location. These roles can include tasks such as building machine learning models, automating data analysis, and deploying AI-powered applications. Professionals in these jobs collaborate with teams online, use cloud-based tools, and contribute to a variety of industries such as tech, finance, healthcare, and more. Python is a popular choice for AI due to its simplicity and the availability of powerful libraries like TensorFlow, PyTorch, and scikit-learn.

What is the difference between Remote Python Ai vs Data Scientist?

AspectRemote Python AiData Scientist
Required CredentialsPython programming, AI/ML knowledge, possibly certifications in AI or data analysisStatistics, programming, data analysis, often a master's degree or higher
Work EnvironmentRemote, tech companies, AI-focused teamsRemote or on-site, diverse industries including tech, finance, healthcare
Employer & Industry UsageTech startups, AI firms, software companiesVarious sectors like finance, healthcare, marketing, tech
Search & Comparison IntentFocus on AI development using PythonData analysis, insights, statistical modeling

Remote Python Ai roles primarily focus on developing AI models and applications using Python, often within tech or AI companies. Data Scientists analyze data to extract insights, requiring broader statistical skills. While both roles may involve Python, Remote Python Ai emphasizes AI/ML development, whereas Data Scientists focus on data analysis and interpretation.

How is collaboration typically structured in a remote Python AI role, and what tools are commonly used to facilitate teamwork?

In a remote Python AI role, collaboration is often structured through regular virtual meetings, code reviews, and the use of collaborative platforms. Teams typically use version control systems like GitHub or GitLab for code sharing, and platforms such as Slack or Microsoft Teams for daily communication. Project management tools like Jira or Trello help organize tasks and track progress, while video calls via Zoom or Google Meet are used for team discussions and brainstorming sessions. This structure ensures that even in a distributed setting, team members can efficiently work together, share insights, and resolve challenges.
What are popular job titles related to Remote Python Ai jobs in Connecticut? For Remote Python Ai jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Python Ai jobs in Connecticut look for? The top searched job categories for Remote Python Ai jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Python Ai jobs? Cities in Connecticut with the most Remote Python Ai job openings:
Remote Python Ai jobs near you
AI/ML Tech Lead / Architect

AI/ML Tech Lead / Architect

E-Solutions

Hartford, CT • On-site, Remote

Other

Posted yesterday

Job description

Mandatory Skills
Google Vertex
Google CCAI
LLM's
Prompt tunning
Data Chunking
Speech to text and text to speech conversion
Cloud Run
Working with Product Teams
Location Preference:
1st Preference: Hartford, CT - Whole team is onsite at Hartford, CT so this location will be first preference. Any nearby location will also work if candidate is willing to relocate from Day 1.
2nd Preference: Candidates will relocate to Hartford, CT.
3rd Preference: Candidates from Richardson, TX, Minneapolis, MN. They will be working from UHG office in this location.
4th Preference: Candidates from NY, NJ and Boston region who are willing to travel as needed to Hartford office and rest of the days they can work remote. This is the least preferred option.
Detailed Job Description:
  • Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient AI solutions.
  • Architecture experience - Mandatory
  • Candidates should be hands on AI/ML development - Mandatory
  • Experience in using Google CCAI (Contact Center AI) /CES (Customer Experience Suite) platform and it's components.
  • Advanced experience in production grade Machine Learning Model design and implementation including LLMs, Model Evaluation and MLOps.
  • In depth exposure and experience in designing and implement machine learning models using Google Vertex AI & Python in the context of Conversational AI.
  • Design, build, and deploy machine learning models on the Google Cloud Platform.
  • Experience in agentic architecture-based implementations and advanced Retrieval Augmented Generation.
  • Conduct thorough testing and validation to ensure the accuracy and reliability of the models. Experience in Eval frameworks and eval metrics.
  • Optimize and fine-tune machine learning models for performance, efficiency, and accuracy. Experience in Parameter Efficient Fine Tuning will be an added advantage.
  • Stay updated on the latest advancements in machine learning and AI technologies.
  • Ability to directly deal with tech experts from product companies such as google and drive solutions to meet customer expectations, goals
Maturity working in a customer environment with understanding the boundaries

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