Colab Python Version 3 11 Jobs in Usa

Join the team leading the next evolution of virtual care.

At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.

Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.

Summary of Position

As a Staff Software Engineer, you are a senior individual contributor who leads the design and delivery of significant platform features and raises the bar for engineering quality across the team. You'll work handson in code-designing APIs and data flows, building services in Python/FastAPI and React frontends, and guiding solutions from idea to production. You'll mentor engineers, influence architecture and standards within and adjacent to your team, and partner closely with product and design to achieve clear, measurable outcomes. This role blends deep implementation work with pragmatic technical leadership by example.

Essential Duties and Responsibilities

• Lead technical design for platform features and services, breaking ambiguous requirements into clear, incremental designs and stories for your team and adjacent partners.

• Implement backend services in Python/FastAPI and React frontends end-to-end, owning a continuous stream of stories from idea to production.

• Define and use clear API contracts and data flows between services and UIs, creating patterns and templates others can follow.

• Champion high-quality engineering practices, including code reviews, documentation, and maintainable, testable designs.

• Develop and improve automated testing (unit, integration, endtoend) and integrate these into everyday development and CI.

• Improve CI/CD pipelines and release workflows for your team so the team can ship small, safe changes frequently and confidently.

• Own the operational lifecycle of the features and services you build, including monitoring, observability, on-call participation, and incident follow-up.

• Design and implement secure-by-default solutions, including robust authentication/authorization, input validation, and safe handling of sensitive data.

• Identify and address reliability and performance risks early, proposing concrete technical improvements and sequencing them into the roadmap.

• Mentor and unblock engineers through pairing, design discussions, and clear feedback; influence without formal authority.

• Partners with product/design to shape requirements into incremental deliverables; escalates tradeoff decisions; proposes sequencing that optimizes value/risk.

The time spent on each responsibility reflects an estimate and is subject to change dependent on business needs.

Supervisory Responsibilities

No

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field; equivalent work experience is acceptable.

• 7+ years of experience in software engineering.

• Strong proficiency with Python and modern web backends (FastAPI, Flask, Django, or similar) and solid understanding of HTTP, API design, and data modeling.

• Significant experience with React (or a comparable SPA framework) and building production frontends that talk to backend APIs.

• Demonstrated ability to own features end-to-end in a small team: from shaping requirements through design, implementation, testing, deployment, and support.

• Experience designing and working with distributed systems or multi-service architectures (e.g., service boundaries, async jobs, integration patterns).

• Solid understanding of observability and operations for production systems (metrics, logs, traces, dashboards, alerting, incident response).

• Strong understanding of security fundamentals (authentication, authorization, secure data handling) and how they apply to web services and UIs.

• Deep familiarity with automated testing and CI/CD, and a track record of improving engineering workflows and quality.

• Excellent communication and collaboration skills; comfortable working closely with product, design, and other stakeholders.

• Proven ability to provide technical leadership in a hands-on way: unblocking others, making clear decisions, and raising the bar through code and reviews.

Bonus Qualifications

• Experience in early-stage or small platform teams where engineers wear multiple hats and balance shipping with building foundations.

• Experience with Azure and containerized deployments (or similar cloud-native environments).

• Experience building platforms (developer platforms, data platforms, or similar) that serve multiple product teams.

• Exposure to AI/ML or data-intensive applications (e.g., integrating with model inference APIs, data pipelines, or analytical data stores).

The base salary range for this position is$180,000 - $200,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.

#LI-SS2 #LI-Remote

We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.

As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.

Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Why join Teladoc Health?

• Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.

• Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.

• Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day.

• Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.

• Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.

• Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.

As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.

Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.

Job Title: Embedded Validation Engineer

Location: Charlotte, NC

Job Type: Full-Time

Role Overview

We are seeking a technically strong Embedded Validation Engineer to serve as the Controls and Quality Assurance (QA) point of contact for lab validation and sustaining programs. The role focuses on requirements-based validation, disciplined test execution, defect reporting, and traceability across multiple product programs.

The ideal candidate will work closely with Systems Engineering, Product Development, and QA teams to validate embedded control systems, execute lab testing, and improve test automation and validation processes.

Key Responsibilities

Requirements-Based Validation

• Collaborate with Systems Engineering teams to derive validation strategies and test plans from system requirements.
• Develop and maintain requirement-to-test case traceability.
• Ensure validation activities align with product specifications and engineering requirements.

Lab Test Execution

• Serve as the Controls Validation Point of Contact (POC) for lab validation activities.
• Execute validation tests on prototype hardware and embedded control systems.
• Document test procedures and record pass/fail outcomes with technical accuracy.

Documentation & Traceability

• Maintain organized test documentation including test plans, execution logs, and validation reports.
• Ensure traceability between requirements, test cases, and defect reports.

Defect Reporting & Tracking

• Identify, document, and report defects with clear technical descriptions and reproducible steps.
• Collaborate with development teams to analyze root causes and track defect resolution.

Reporting & Quality Reviews

• Prepare concise 2–3 slide technical summaries of test results and validation findings.
• Present validation updates during PRQRB/SQA or departmental review meetings.

Test Bench & HIL Development

• Design and build test bench setups and Hardware-in-the-Loop (HIL) simulators for validation.
• Support legacy platforms and existing validation environments.

Automation Development

• Contribute to Python-based test automation and validation frameworks.
• Identify opportunities to improve test efficiency through automation.

Product Support & Continuous Improvement

• Support new product development, sustaining engineering, and validation process improvements.
• Drive enhancements in test infrastructure, lab workflows, and validation methodologies.

Required Qualifications

• Bachelor’s degree in Controls Engineering, Software Engineering, Electrical Engineering, or related field.
• 5+ years of experience in embedded systems validation, SQA, or controls testing.
• Strong understanding of Software Quality Assurance (SQA) fundamentals, including test execution and documentation.
• Experience validating embedded control systems and equipment controls.
• Hands-on experience with lab-based validation and prototype testing.
• Knowledge of controls inputs/outputs, sensors, and system interfaces.
• Experience with bench wiring, test setup, and instrumentation.
• Strong analytical skills and familiarity with engineering basics such as heat exchangers and unit conversions.
• Experience with Python scripting and test automation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Python with AI(Only w2)

Location: Atlanta GA(Onsite/Only Locals)

Must have mins 10-12 years of overall years of experience

Must haves.

• Strong Python programming (OOP, typing, async programming).
• Experience with API development (FastAPI or Flask).
• PY-test framework knowledge for unit testing.
• Git hub branching familiarity
• Framework development experience with PyTorch, TensorFlow, Hugging Face Transformers, LangChain, OpenAI API
• Basic Cloud knowledge like server less compute, http traffic, CICD concepts

Nice to Have:

• Deep Learning: Neural networks, CNNs, RNNs, transformers, attention mechanisms.
• Azure: resource groups, container apps, vnet, logging, cosmos db.
• SQL (Query writing) experience like SQL server/Azure SQL/Oracle/PostgreSQL
• API security with AuthN/AuthZ understanding of OpenID or oAuth2 flows

If I missed your call ! Please drop me a mail.

Thank you,

Harish

Talent Acquisition

Astir IT Solutions, Inc - An E-Verified Company

Email:

Direct : 7326946000*788

50 Cragwood Rd. Suite # 219, South Plainfield, NJ 07080

Senior Software Engineer (Backend | Java/Python | AWS)

We're looking for a Senior Software Engineer to join a high-impact Metadata Engineering team focused on powering the backend systems behind large-scale streaming platforms.

This role is all about building the systems that organize, structure, and distribute content data — helping ensure a seamless viewing experience for millions of users.

What You'll Do

• Design and build scalable backend systems and services
• Own features end-to-end (design → development → deployment)
• Improve existing systems and workflows for performance and scalability
• Collaborate with cross-functional teams (Product, TPMs, Engineering)
• Mentor junior engineers and contribute to technical direction

What You Need

• 5+ years of backend software engineering experience
• Strong experience with Java and Python
• Hands-on experience with AWS (Lambda, SQS/SNS, Kinesis, DynamoDB, etc.)
• Experience with SQL and/or NoSQL databases
• Familiarity with event-driven architectures (Kafka, Kinesis, etc.)
• Strong understanding of data structures, algorithms, and system design
• Ability to work independently and solve complex problems

Nice to Have

• Experience with Graph databases (Neo4j)
• Familiarity with Terraform or GraphQL

Requirements

• Bachelor's degree in a STEM field
• Strong backend engineering background (non-negotiable)

Why This Role?

• Work on high-scale systems powering major streaming platforms
• Be part of a team shaping how content data is structured and delivered
• Opportunity to make a real impact on user experience at scale

City: Santa Monica, CA /Glendale, CA /Seattle, WA

Onsite/ Hybrid/ Remote: Hybrid (4 days onsite per week, no flexibility)

Duration: 10 Months

Rate Range: Upto $100/hr on W2

Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B

Must Have:

• Python
• Test automation framework development
• API testing
• UI testing
• Integration testing
• End-to-end acceptance testing
• CI/CD pipeline integration
• Jenkins or Spinnaker
• Gherkin / BDD / TDD
• SQL
• Database testing
• Backend testing
• Selenium
• ETL / data accuracy validation
• Big data exposure such as Spark or Hadoop

Responsibilities:

• Partner with software engineers to understand the advertising platform and define effective test strategies.
• Build and maintain automated test frameworks and test suites across UI, API, integration, and end-to-end layers.
• Participate in design discussions to improve platform testability and strengthen defect detection and prevention.
• Support issue triage, root cause analysis, and cross-team defect resolution.
• Create and execute manual test cases where automation is not practical.
• Convert manual test coverage into automated coverage wherever feasible.
• Validate backend workflows, database logic, and data accuracy across systems.
• Contribute within distributed Scrum teams operating in 2-week sprint cycles.

Qualifications:

• 4+ years of hands-on software test development experience across functional and non-functional testing.
• Strong Python proficiency with solid backend testing experience.
• Experience designing, building, and enhancing test automation frameworks.
• Strong experience in API, UI, integration, database, and end-to-end testing.
• Proficiency with CI/CD tools such as Jenkins, Spinnaker, or similar.
• Experience with Gherkin and BDD/TDD practices.
• Strong SQL skills, including query writing and optimization for database validation.
• Experience validating ETL pipelines, data quality, and data accuracy.
• Familiarity with distributed Agile/Scrum delivery environments.
• Bachelor's or Master's degree in Computer Science or related field, or equivalent experience.

Nice to Have:

• Big data testing experience with Spark or Hadoop
• Server-side application testing experience
• Advertising technology domain experience

Hello,

My Name is Praveen Kumar from Pronix Inc!!

Job Title: GCP Cloud Security Developer/ Python development with GCP -W2 Only

Location: Temple Terrace, FL | Irving, TX (Hybrid Position)

Job Type: Long term Contract

Interview Mode: Webcam Interview

Job Description:

• Bachelor's Degree.
• 5+ years of relevant work experience.
• 5+ years combined experience with GCP and Azure (minimum 4 years in GCP infrastructure, IAM, AI).
• 8+ years of Python development experience.
• 5+ years developing cloud automation solutions.
• Strong knowledge of PowerShell, Django, HTML, jQuery, Bash scripting.
• Experience with GCP SDK and CLI.
• Terraform proficiency.
• Linux and Windows system administration.
• Cloud networking and security expertise.
• Experience with JIRA, Jenkins, Ansible, Git, Confluence.
• Basic DB and SQL knowledge.
• Strong experience with GCP Cloud Functions and Azure Functions.
• Fluency in using AI-assisted coding tools (Gemini, Copilot) to accelerate automation.

Interested Candidates can share the resume to email :

Ph : 6 Six Zero Nine Three Seven Eight One One Four Two)

Onsite AI Engineer - Construction Industry Focus

New Haven, CT - Onsite 5 days per week

• Initial Assignment: Fully onsite 5 days per week at a construction site in Ft. Myers (FL) or New Haven (CT) for 1 year
• Post-Assignment: Relocation to one of the corporate offices for hybrid employment: Boston, MA (preferred), New York City (NY), New Haven (CT), Herndon (VA), West Palm Beach (FL), or Estero (FL)

Role Summary

As the on-site catalyst who turns AI ideas into working reality. Partnering with each project’s AI Champion (Project Manager or Superintendent), you’ll uncover pain points, redesign workflows, and deploy AI agents that cut down reporting, accelerate RFIs, simplify lookahead planning, progress updates, materials tracking, and more. When needed, you will develop user stories and coordinate development with the central AI Studio. You’ll help advance the vision of the “Construction Site of the Future,” showing how agentic AI will transform project operations.

Responsibilities

• Workflow discovery and redesign: Lead Lean/Six Sigma workshops; map value streams; log high-impact AI agent opportunities that improve field efficiency.
• AI agent development: Build and deploy multiple production-ready AI agents using Copilot Studio, Power Apps/Automate, ChatGPT Enterprise, or code-first frameworks. Integrate agents into Teams/SharePoint on the front end and Databricks Lakehouse or other enterprise data sources on the back end.
• RAG pipelines and LLMOps: Design and operate retrieval-augmented generation (RAG) pipelines with Databricks Delta Tables, Unity Catalog, and Vector Search (or Spark/Hadoop equivalents). Monitor cost, latency, adoption, and model drift.
• Cross-cloud orchestration: Blend OpenAI, Azure OpenAI, and AWS Bedrock services through secure custom connectors to maximize flexibility and adoption.
• Data integration: Partner with Data Engineering to deliver ETL/ELT pipelines, API integrations, and event-driven connectors that feed RAG pipelines and AI agents.
• Change management and adoption: Train field teams, gather feedback, iterate quickly, and embed agents into SOPs. Track usage and ROI with adoption metrics and behavior-change KPIs.
• Stakeholder communication: Translate technical results into business value for leadership and clients. Contribute use cases and playbooks for the “Construction Site of the Future.”
• Compliance and hand-offs: Ensure all AI solutions meet the company’s data governance and security standards. Draft clear user stories and specs for escalation to central AI/Data Engineering teams when necessary.

Qualifications

• 4+ years in AI engineering, data science, or ML-focused software engineering.
• Proven experience building multiple AI agents in production environments.
• 2+ years of hands-on experience with LLMs, RAG pipelines, and LLMOps practices.
• Must have strong traditional software engineering background in Python

Bonus Points

• Experience in construction, manufacturing, or other process-heavy industries.
• Advanced degree in a technical field.