Founding Teams is a stealth AI Tech Incubator & Talent platform. We are supporting the next generation of AI startup founders with the resources they need including engineering, product, sales, marketing and operations staff to create and launch their product.

The ideal candidate will have a passion for next generation AI tech startups and working with great global startup talent.

About the Role:

We are looking for an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team.

Responsibilities:

• Lead the end-to-end development of machine learning models, from prototyping to production deployment.
• Architect scalable ML pipelines and infrastructure.
• Work closely with data scientists to transition research models into robust production systems.
• Collaborate with engineering teams to integrate ML models into applications and services.
• Manage and mentor a team of machine learning and data engineers.
• Establish best practices for model development, evaluation, monitoring, and retraining.
• Design experiments, analyze results, and iterate rapidly to improve model performance.
• Stay current with the latest research and developments in machine learning and AI.
• Define and enforce ML model governance, versioning, and documentation standards.

Required Skills & Qualifications:

• Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD preferred but not required).
• 5+ years of professional experience in machine learning engineering.
• 2+ years of leadership or technical mentoring experience.
• Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.).
• Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning).
• Experience building and maintaining ML pipelines and data pipelines.
• Proficiency in model deployment techniques (e.g., serving models with REST APIs, gRPC, or via cloud services).
• Hands-on experience with cloud platforms (AWS, GCP, Azure) for model training and deployment.
• Deep understanding of MLOps concepts: monitoring, logging, CI/CD for ML, reproducibility.
• Experience with Docker and container orchestration (e.g., Kubernetes).

Preferred Skills:

• Experience with feature stores (e.g., Feast, Tecton).
• Knowledge of distributed training (e.g., Horovod, distributed PyTorch).
• Familiarity with big data tools (e.g., Spark, Hadoop, Beam).
• Understanding of NLP, computer vision, or time series analysis techniques.
• Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases).
• Experience with model explainability techniques (e.g., SHAP, LIME).
• Familiarity with reinforcement learning or generative AI models.

Tools & Technologies:

• Languages: Python, SQL (optionally: Scala, Java for large-scale systems)
• ML Frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost, LightGBM
• MLOps: MLflow, Weights & Biases, Kubeflow, Seldon Core
• Data Processing: Pandas, NumPy, Apache Spark, Beam
• Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask
• Cloud Platforms: AWS (SageMaker, S3, EC2), Google Cloud AI Platform, Azure ML
• Orchestration: Docker, Kubernetes, Airflow
• Databases: PostgreSQL, BigQuery, MongoDB, Redis
• Experiment Tracking & Monitoring: MLflow, Neptune.ai, Weights & Biases
• Version Control: Git (GitHub, GitLab)
• Communication: Slack, Zoom
• Project Management: Jira, Confluence

KairoPact Private Limited

Location: Remote-first (India)  ·  Level: Senior  ·  Type: Full-time

Reports to: CTO  ·  Dotted line: COO

About KairoPact

KairoPact delivers AI-augmented strategy and programme consulting to NGOs, donors, and CSR organisations across South Asia, Africa, and the Middle East. We build proprietary AI infrastructure that amplifies human judgement — giving experienced practitioners research, synthesis, and structured analysis at a fraction of traditional consulting cost and time.

The Role

You will join as a Senior AI Engineer on the Axon™ platform — KairoPact’s internal AI intelligence engine — with a clear pathway to Lead AI Engineer as you grow into the role.

The role spans the full journey: from implementing technical strategy and architectural standards set by the CTO, to progressively owning day-to-day technical execution. You’ll work across the entire stack — agent pipelines, LLM routing, observability, retrieval, and data engineering.

This is not a role for someone who wants close management. It suits an engineer who is ready to own, and who sees a structured ramp-up as a springboard rather than a safety net.

What You’ll Do

●     Translate CTO architectural direction into actionable engineering — then progressively take greater ownership of those decisions as you build deep familiarity with the platform.

●     Drive full-stack delivery with the team — owning end-to-end implementation, not just individual components.

●     Design and evolve multi-agent pipelines — sequenced workflows with conditional routing, structured outputs, and human review gates.

●     Own the LLM routing layer — model selection, fallback logic, per-call cost tracking, and provider management across frontier models.

●     Drive end-to-end observability — every agent step, decision, token cost, and failure mode instrumented and reproducible.

●     Build knowledge retrieval systems — semantic search with structured filtering, namespace isolation, and data privacy controls.

●     Own backend data engineering — schema design, migrations, idempotency patterns, and multi-tenant isolation.

●     Lead code review and engineering standards; mentor and unblock the junior AI Engineer.

●     Keep the codebase and documentation in tight sync with the architecture specification.

What We’re Looking For

Required

●     4+ years of software engineering experience, with at least 2 years focused on production AI/ML systems.

●     Proven experience owning or leading delivery on an AI product or platform — not just contributing to one.

●     Deep hands-on experience with agentic AI systems — multi-step pipelines, tool use, structured orchestration, multi-agent coordination.

●     Strong Python: async programming, type annotations, clean architecture, testing discipline.

●     Experience with LLM routing or orchestration frameworks (e.g. LangChain, LlamaIndex, DSPy, or equivalent).

●     Able to engage with architectural decisions — ask good questions, understand trade-offs, and implement accurately from a technical spec.

●     Strong written communication — clear thinker who can document decisions and communicate trade-offs concisely.

Preferred

●     Experience with LLM observability tooling (LangSmith, Weights & Biases, Helicone, or similar).

●     FastAPI or similar async Python web frameworks.

●     Vector databases and hybrid retrieval architectures.

●     Docker and container-based development workflows.

●     Prior experience as a tech lead, staff engineer, or founding engineer.

●     Interest in the NGO, development sector, or social impact space.

What We Offer

●     Early, meaningful responsibility for a technically sophisticated platform — with a clear, named progression to Lead AI Engineer, not a vague promise.

●     Direct access to the CTO for architecture decisions, code review, and engineering craft — without layers in between.

●     The chance to mentor a junior engineer and shape how the team works.

●     Exposure to strategy consulting in the NGO/CSR sector — work that has real-world impact.

●     Fully remote, async-first — we care about output, not hours.

KairoPact is an equal opportunity employer. We actively welcome applications from candidates of all backgrounds, including those underrepresented in the technology industry.

To apply, send your CV, a link to your GitHub profile or equivalent work samples, and a brief note on why this role to .

Founding Teams is an AI pre accelerator and talent platform. We help Founders hire engineers, designers and marketing talent for their AI startup.

About the Role

As our Lead DevOps Engineer, you’ll design, implement, and maintain scalable, reliable, and secure infrastructure and CI/CD pipelines. You’ll mentor a team of DevOps engineers, partner closely with development teams, and drive best practices around automation, monitoring, and incident response.

Key Responsibilities

• Infrastructure Architecture:
• Lead design of cloud-native (AWS/Azure/GCP) microservices and data-platform architectures.
• Define Infrastructure-as-Code (IaC) standards using tools like Terraform or CloudFormation.
• CI/CD & Automation:
• Build and optimize end-to-end pipelines (Jenkins, GitLab CI, GitHub Actions).
• Automate testing, packaging, and deployments for containerized applications (Docker, Kubernetes).
• Monitoring & Observability:
• Implement logging, metrics, tracing (Prometheus, Grafana, ELK/EFK stack, Datadog, New Relic).
• Establish SLOs/SLIs, alerting, and runbooks for on-call rotations.
• Security & Compliance:
• Integrate security scanning (SAST/DAST) into pipelines (e.g. SonarQube, Snyk).
• Enforce IAM best practices, secrets management (Vault, AWS KMS, Azure Key Vault).
• Performance & Cost Optimization:
• Right-size cloud resources, optimize autoscaling, and manage reserved instances.
• Conduct regular architecture reviews to identify bottlenecks.
• Leadership & Mentorship:
• Coach and grow a team of DevOps/SRE engineers.
• Drive cross-functional training on DevOps tooling and practices.
• Incident Management:
• Lead post-mortem analyses and continuous improvement of incident response processes.

Required Skills & Experience

• 5+ years in DevOps, SRE, or infrastructure engineering roles
• Cloud Expertise: Deep hands-on experience with at least one major cloud provider (AWS, Azure, or GCP)
• IaC & Configuration Management:
• Terraform, AWS CloudFormation, or Pulumi
• Ansible, Chef, or Puppet
• CI/CD: Jenkins, GitLab CI/CD, GitHub Actions, or CircleCI
• Containerization & Orchestration: Docker, Kubernetes (EKS/GKE/AKS)
• Monitoring & Logging: Prometheus/Grafana, ELK/EFK, Datadog, New Relic, or equivalent
• Scripting & Automation: Python, Go, Bash, or similar
• Security Tools: Familiarity with Vault, AWS IAM, security scanners (Snyk, Trivy)
• Networking Fundamentals: VPCs, load balancers, DNS, CDN, firewalls
• Soft Skills:
• Strong communication and collaboration across teams
• Proven leadership: mentoring, code reviews, and guiding best practices

Nice-to-Haves

• Database Operations: Experience with managed databases (RDS, Cloud SQL, Cosmos DB) and NoSQL (DynamoDB, MongoDB)
• Serverless & Edge: Lambda/FaaS, CloudFront, Akamai, or Fastly
• Observability Platforms: OpenTelemetry, Jaeger, Splunk
• Cost-Management: AWS Cost Explorer, Azure Cost Management
• Certifications: AWS Certified DevOps Engineer, Certified Kubernetes Administrator (CKA), or equivalent

• Design, develop, and maintain scalable backend applications using Java and Spring Boot.
• Build and deploy cloud-native microservices on AWS infrastructure.
• Implement secure authentication and authorization mechanisms using IAM technologies.
• Develop RESTful APIs and integrate with third-party services and enterprise systems.
• Work on Identity & Access Management solutions including SSO, MFA, OAuth2, JWT, SAML, and OpenID Connect.
• Configure and manage AWS services such as EC2, Lambda, API Gateway, RDS, S3, ECS/EKS, CloudWatch, IAM, and Secrets Manager.
• Participate in architecture discussions and contribute to system design and security best practices.
• Optimize application performance, scalability, and reliability.
• Collaborate with DevOps, Security, and frontend teams for seamless integration and deployment.
• Write clean, maintainable, and testable code following coding standards and best practices.
• Troubleshoot production issues and provide root cause analysis.

Eligibility:

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• 5+ years of hands-on software development experience.
• Strong experience in Java 8/11/17
• Expertise in Spring Boot, Spring MVC, Spring Security
• Experience with Hibernate/JPA.
• Hands-on experience with AWS services:
• Strong understanding of IAM concepts and security frameworks.
• Strong understanding of Microservices Architecture
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management skills.
• Experience working in Agile development environments.

Please check the JD and share your updated resume to my email and ping me on whatsapp (+91 970-529-6474) along with your resume

JOB DESCRIPTION

Senior Data Analyst

1 year-100% Remote

Monday through Friday, 10:00-6:30 PM IST.

We are sourcing for a Senior Data Analyst to join a global consulting firm within the Data Analytics Center of Excellence. This position will support data analytics, machine learning/AI, and innovation needs for the tribe. As the Senior Data Analyst, the person is required to develop new and enhance existing automation solutions. The team is managing inventory of 50+ tableau dashboards, 40+ data pipelines referring 20 bn+ datapoints extracted from various sources including APIs, Aternity, Microsoft Intune, SCCM, JAMF, Elastic, Splunk, SNOW, Zscaler, etc. supporting stakeholders in India. Working hours are

REQUIRED SKILLS AND EXPERIENCE

Minimum 6 years of experience as a Technical Data Analyst

Very strong SQL with working experience of Snowflake, Tableau, Complex data analysis

Experienced in using Snowflake, SQL, Tableau, and Alteryx to work with large datasets

Advanced knowledge of Tableau Desktop, including experience with creating complex charts and visualizations, such as Waterfall, Gantt, Sankey, Waffle, bullet charts

Proficient in creating calculated fields and using Tableau’s Level of Detail (LOD) expressions to manipulate data at different levels of aggregation

Ability to build complex dashboards and visualizations, using a variety of filters, parameters, and actions to enable interactivity and facilitate data exploration

Experience creating Alteryx workflows to automate data loading, transformation, and aggregation processes

Strong understanding of Alteryx architecture and Alteryx's specific features, such as joining multiple data sources, parse, transform, join and connectors

Strong understanding of SQL's advanced features, such as joins, subqueries, CTE and window functions

Support clients in the operation, maintenance, and optimization of Oracle Cerner EHR environments. This role is designed for early-career professionals who are eager to grow their technical skills in healthcare IT while working under the mentorship of experienced consultants and technical leaders. You will gain hands-on exposure to Cerner infrastructure, system workflows, and healthcare technology best practices while contributing to meaningful client outcomes.

Responsibilities:

• Focus: Design, build, validation, and production support
• Provide L2 production support for Oracle Cerner
• Troubleshoot production issues
• Resolve incidents within SLA while ensuring patient safety and data accuracy
• Configure and maintain components
• Configure and support workflows

Mandatory Skills

Experience with anyone of domains below:

• Pharmnet / Medication Management
• Orderset and PowerPlan
• RadNet
• PathNet and Blood Bank
• Ambulatory Clinical Documentation

Triple is leading the way in remote work solutions, helping small and medium-sized businesses in North America build highly efficient remote teams for Administration, Customer Service, Accounting, Operations, and back-office roles. Our focus has always been on our Clients, People, and Planet, ensuring our operations contribute positively across these key areas. Distinguished by its rigorous standards, Triple excels in:

• Selectively recruiting the top 1% of industry professionals
• Delivering in-depth training to ensure peak performance
• Offering superior account management for seamless operations

Embrace unparalleled professionalism and efficiency with Triple, where we redefine the essence of remote hiring.

Summary

This is a full-time remote role for a Senior Customer Service Representative. The Representative will be responsible for providing excellent customer service to clients through calls, handling inquiries, resolving issues, and ensuring customer satisfaction. The Representative will also be accountable for maintaining accurate customer records in the CRM system, achieving customer service targets and goals, and communicating customer feedback to the management team.

Responsibilities

• Customer Interaction: Communicate with customers via phone, email, and chat, demonstrating empathy, active listening, and professionalism at all times.
• Issue Resolution: Identify customer concerns and find effective solutions, aiming for first-contact resolution whenever possible, while adhering to company policies and guidelines.
• Product Knowledge: Maintain a deep understanding of the products or services to answer customer queries and provide appropriate recommendations accurately.
• Documentation: Accurately record customer interactions, transactions, and issues in the CRM system, ensuring a comprehensive record of customer interactions.
• Problem-Solving: Analyze complex situations, think critically, and take proactive steps to resolve issues, collaborating with other departments when necessary.
• Compliance: Adhere to company policies, industry regulations, and ethical standards, ensuring customer data privacy and security.
• Continuous Improvement: Participate in ongoing training and development programs to enhance your skills and knowledge, contributing to improving customer service processes.
• Feedback Handling: Gather customer feedback and report recurring issues or suggestions to the appropriate teams for process improvement.
• Team Collaboration: Collaborate with fellow team members to share insights, knowledge, and best practices, fostering a supportive work environment.

Qualifications

• Customer Support, Customer Satisfaction, and Customer Experience skills
• Excellent problem-solving and analytical skills
• Ability to multitask and prioritize workload in a fast-paced environment
• Experience with CRM systems and contact center technologies
• Excellent verbal and written communication skills
• Ability to work independently and remotely
• A bachelor's degree or higher in a related field is preferred
• Experience in a customer service or contact center environment is preferred

Schedule (US Shifts Only)

Eastern Time - 6:30 p.m. - 3:30 a.m. IST, Rotational Shifts

Pacific Time - 9:30 p.m. - 6:30 a.m. IST, Rotational Shifts

Logistical Requirements

Quiet and brightly illuminated work environment

Laptop with a Minimum of 8GB RAM, an i5 8th-gen processor

720P Webcam and Headset

A reliable ISP with a minimum speed of 100 Mbps

Smartphone

Founding Teams is a stealth AI Tech Incubator & Talent platform. We are supporting the next generation of AI startup founders with the resources they need including engineering, product, sales, marketing and operations staff to create and launch their product.

The ideal candidate will have a passion for next generation AI tech startups and working with great global startup talent.

About the Role:

We are looking for an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team.

Responsibilities:

• Lead the end-to-end development of machine learning models, from prototyping to production deployment.
• Architect scalable ML pipelines and infrastructure.
• Work closely with data scientists to transition research models into robust production systems.
• Collaborate with engineering teams to integrate ML models into applications and services.
• Manage and mentor a team of machine learning and data engineers.
• Establish best practices for model development, evaluation, monitoring, and retraining.
• Design experiments, analyze results, and iterate rapidly to improve model performance.
• Stay current with the latest research and developments in machine learning and AI.
• Define and enforce ML model governance, versioning, and documentation standards.

Required Skills & Qualifications:

• Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD preferred but not required).
• 5+ years of professional experience in machine learning engineering.
• 2+ years of leadership or technical mentoring experience.
• Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.).
• Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning).
• Experience building and maintaining ML pipelines and data pipelines.
• Proficiency in model deployment techniques (e.g., serving models with REST APIs, gRPC, or via cloud services).
• Hands-on experience with cloud platforms (AWS, GCP, Azure) for model training and deployment.
• Deep understanding of MLOps concepts: monitoring, logging, CI/CD for ML, reproducibility.
• Experience with Docker and container orchestration (e.g., Kubernetes).

Preferred Skills:

• Experience with feature stores (e.g., Feast, Tecton).
• Knowledge of distributed training (e.g., Horovod, distributed PyTorch).
• Familiarity with big data tools (e.g., Spark, Hadoop, Beam).
• Understanding of NLP, computer vision, or time series analysis techniques.
• Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases).
• Experience with model explainability techniques (e.g., SHAP, LIME).
• Familiarity with reinforcement learning or generative AI models.

Tools & Technologies:

• Languages: Python, SQL (optionally: Scala, Java for large-scale systems)
• ML Frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost, LightGBM
• MLOps: MLflow, Weights & Biases, Kubeflow, Seldon Core
• Data Processing: Pandas, NumPy, Apache Spark, Beam
• Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask
• Cloud Platforms: AWS (SageMaker, S3, EC2), Google Cloud AI Platform, Azure ML
• Orchestration: Docker, Kubernetes, Airflow
• Databases: PostgreSQL, BigQuery, MongoDB, Redis
• Experiment Tracking & Monitoring: MLflow, Neptune.ai, Weights & Biases
• Version Control: Git (GitHub, GitLab)
• Communication: Slack, Zoom
• Project Management: Jira, Confluence

ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools. https://www.instagram.com/zetheta.official

About the Role

As an Accountant intern, you will work on practical projects involving financial accounting, financial analysis, and compliance reporting. You will have the opportunity to engage in multiple mini-projects or take up a focused accounting research project. The project experience is designed to provide practical exposure to accounting in the context of asset management, trading, and financial technology. We provide problem statements, methodology, and after you submit your solution, we also showcase a sample solution. You can use our sample solution to modify your project submission and expand further based on suggestions given. You can also opt for your own research-based accounting solution to develop or model.

Responsibilities

Prepare and analyse financial statements, balance sheets, and income statements for financial entities. Assist in bookkeeping, journal entries, ledger maintenance, and account reconciliation. Support financial reporting and regulatory compliance for investment firms and trading entities. Conduct cost analysis, budget preparation, and variance analysis for portfolio management operations. Apply accounting principles to financial problems such as fair value accounting, derivative accounting, and investment valuations. Work with financial data including company reports, transaction records, and regulatory filings. Use Excel and accounting software to prepare, analyse, and present financial information. Participate in projects related to financial statement analysis, audit preparation, taxation, and financial compliance.

Who Should Apply

Any student with basic knowledge of accounting principles or a willingness to learn. A foundation in financial accounting, corporate accounting, or cost accounting is helpful. Use of all LLMs and NLP tools is permitted to help students develop solutions. Strong attention to detail and analytical skills. Ability to self-learn and work independently in a remote, flexible environment.

Internship Details

Duration: Self-paced. Options of 15 days and 1 to 6 months.

Type: Unpaid.

Application Process

• Join us through online enrolment — simply submit your updated CV. We do not conduct any interview or assessment. All motivated early career talent are welcome to take up the role.