Experience Requirements:

• 2-5 years of hands-on experience in Governance, Risk, and Compliance (GRC) roles.

Responsibilities:

• - Compliance & Regulatory Oversight: Ensure compliance with applicable laws and regulations, such as RBI/SEBI cybersecurity guidelines, GDPR, and other - local and international frameworks.

• - Risk Management: Assist in conducting risk assessments to identify, evaluate, and prioritize risks related to information security and business operations.

• - Audit Support: Support internal and external audits by preparing documentation, coordinating audit activities, and ensuring compliance with cybersecurity policies and standards.

• - Cybersecurity Program Management: Work closely with IT, legal, and other stakeholders to integrate cybersecurity risk management into business processes, ensuring alignment with organizational goals.

Education Requirements:

• Bachelor's/Master's degree in Computer Science, Engineering, or a related field.(minimum 4 years of degree).

Experience Requirements:

• 2-4 years of professional experience in backend development using Python.

Responsibilities:

• - Design, develop, and maintain scalable and efficient backend systems using Python and related technologies.

• - Collaborate with other developers, product managers, and stakeholders to understand requirements and translate them into technical solutions.

• - Implement and maintain RESTful APIs for seamless integration with frontend applications and third-party services.

• - Optimize application performance and scalability through code refactoring, database optimization, and other best practices.

Experience Requirements:

• 3+ years of hands-on experience in Computer Vision and deep learning, particularly in object detection and image classification.

Responsibilities:

• Lead Computer Vision Initiatives: Develop and deploy advanced computer vision models for tasks such as object detection, image classification, data extraction, and image quality assessment.

• Drive Innovation in Core-ML Projects: Work on critical machine learning projects, including Credit Risk Modeling and Scorecard Development, ensuring robust and scalable solutions.

• Data Exploration and Analysis: Explore and analyse unstructured data, particularly images, using advanced image processing techniques.

• Model Research and Development: Collaborate with the data science team to research, develop, evaluate, and optimise deep learning models tailored to solve specific business problems.

Benefits:

• A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles

• Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures

• A clear progression plan.

• Flexibility

• Work where you work best.

Experience Requirements:

• Experience in industry machine learning roles as a technical leader or principal/staff engineer.

• Excellent knowledge of both Data Science (python, SQL) and production tools

Responsibilities:

• Training and fine-tuning models to help customers get more value from our chatbot and app through deeper personalisation, creating a smarter & more engaging experience

• Deploying these models into our production environments using our in-house ML platform, which you can read about on our blog: [Let's have an Espresso: MLOps at Cleo](https://web.meetcleo.com/blog/lets-have-an-espresso-mlops-at-cleo).

• Integrating our models with LLMs hosted by OpenAI, Anthropic, GCP, AWS

• Working cross-functionally with backend engineers, data analysts, UX writers, product managers, and others to ship features that improve our users’ financial health

• Driving the adoption of appropriate state-of-the-art techniques for recommendation, message campaign optimisation, and contextual bandits.

Experience Requirements:

• 5-7 years experience in NLP, Machine Learning, Deep Learning, Python, Computer Vision & 1-2 years exp in Gen AI.

Experience Requirements:

• 6-9 years experience in Proficiency in Appian BPM, including SAIL forms, dashboards, and reports.

Experience Requirements:

• minimum of 5+ years of hands-on experience in Data Analytics & Supply Chain.

Benefits:

• Flexible Work – Hybrid or fully remote options based on location

• Team Gatherings – Annual company-wide kickoff events and ongoing team activities

• Career Growth – Training bonuses for AWS certifications and other learning opportunities

• Performance Bonuses – Company-wide annual bonus program

• Referral Rewards – Earn up to €1,000 for referring new hires

Experience Requirements:

• Experience with backend development using Python

• Deep knowledge of AWS cloud services and infrastructure

• Proficiency in monitoring and observability tools (Prometheus, Grafana, CloudWatch, ELK stack)

• Hands-on experience with Apache Kafka (MSK) and NoSQL databases (DynamoDB)

• Background in Site Reliability Engineering (SRE) or a similar role

Other Requirements:

• Strong problem-solving skills and attention to detail

• Fluent English (spoken and written) to collaborate with an international team

Responsibilities:

• Ensure reliability, performance, and scalability of large-scale production systems

• Troubleshoot complex issues and manage monitoring and alerting systems

• Develop backend solutions in Python to improve system efficiency

• Implement automation to optimize operations and reduce manual intervention

• Work extensively with AWS services, Apache Kafka, and NoSQL databases

Experience Requirements:

• 3+ years in a testing organization/ department with experience in functional, automation, and performance testing

Responsibilities:

• Review system requirements and track quality assurance metrics

• Implement tests, debug, and define corrective actions

• Understand customer’s project and implement the same scenario using the Appvance platform

• Architect and design complex testing scripts in a short time frame

• Document new processes and keep existing documents updated

Benefits:

• Competitive salary, performance bonus, and benefits package.

• Opportunity to participate in Torch.AI’s employee equity incentive program.

• Unlimited PTO.

• 11 paid holidays each year.

• Dynamic and energetic teammates.

Education Requirements:

• B.S. degree in Computer Science or related field.

Experience Requirements:

• 6+ years of experience in software development / operations / data experience.

• Knowledge of RESTful services, as well as JSON parsing and querying.

• Proven experience with Big Data technologies, including processing and analyzing large-scale datasets.

• Proficient in NiFi for data integration, flow management, and system interoperability.

Other Requirements:

• Currently holds TS/ SCI w/ CI Poly is required.

• Work locations may vary throughout the Greater DMV area based on client needs.

Education Requirements:

• Bachelor’s degree in Computer Science, Data Science, or a related field (or equivalent experience).

Responsibilities:

• Develop and maintain web scraping scripts to extract data from a variety of sources.

• Collaborate with the data team to understand data requirements and implement effective scraping strategies.

• Conduct data quality assessments to ensure the accuracy and reliability of scraped data.

• Optimize scraping processes for efficiency and performance.

• Troubleshoot and resolve issues related to data extraction and scraping. Implement data storage and management solutions using SQL databases, Git, Redis, and Elasticsearch.

Education Requirements:

• Currently enrolled in a PhD program in Computer Science, Machine Learning, or related fields.

Responsibilities:

• Lead a research project, which will be broadly focused on a problem related to generative or predictive modeling of molecular systems.

• Navigate the latest deep learning literature, extracting insights from generative modeling in adjacent domains (language, images, 3D graphics, etc.), develop novel models and training techniques for molecular data, and communicate your findings to the team.

• Carefully design and run experiments at scale to validate most promising approaches and hypotheses.

Benefits:

• Competitive compensation package that includes salary and equity.

• Comprehensive health benefits: Medical, Dental, and Vision (covered 100% for the employees).

• 401(k) plan.

• Open (unlimited) PTO policy.

• Free lunches and dinners at our offices.

Responsibilities:

• Lead transformative research projects that enhance the Genesis AI platform's capabilities, focusing on generative models for molecular systems.

• Navigate the latest deep learning literature, extracting insights from generative modeling in adjacent domains (language, images, 3D graphics, etc.), develop novel models and training techniques for molecular data, and communicate your findings to the team.

• Carefully design and run experiments at scale to validate most promising approaches and work closely with engineers to ship state-of-the-art models to production.

• Contribute to the research community by publishing some of our findings in the form of research papers and blog posts at top tier AI/ML venues (NeurIPS, ICML, ICLR, etc.), attending conferences and workshops, and engaging in continuous learning and knowledge exchange.

Education Requirements:

• PhD in Computer Science, Machine Learning, Physics, or a related field.

Experience Requirements:

• 4+ years of professional experience in machine learning research, with at least 1+ years in a tech or people leadership role.

Responsibilities:

• Develop and implement the strategic vision for the ML Research group, ensuring alignment with company goals.

• Serve as a thought leader in state-of-the art ML research, using the latest approaches in diffusion models, equivariant neural nets and predictive ML

• Guide the team in designing, implementing, and validating novel machine learning models tailored to drug discovery challenges, including molecular property prediction, generative modeling, and protein-ligand interactions.

• Prioritize and balance short-term project deliverables with long-term foundational research initiatives.

• Ensure high standards of scientific rigor and reproducibility in research outputs.

Education Requirements:

• PhD in Computer Science, Machine Learning, Physics, or a related field.

Experience Requirements:

• 4+ years of professional experience in machine learning research, with at least 1+ years in a tech or people leadership role.

Responsibilities:

• Develop and implement the strategic vision for an ML Research team, ensuring alignment with company goals.

• Serve as a thought leader in state-of-the art ML research, using the latest approaches in diffusion models, equivariant neural nets and predictive ML

• Guide the team in designing, implementing, and validating novel machine learning models tailored to drug discovery challenges, including molecular property prediction, generative modeling, and protein-ligand interactions.

• Prioritize and balance short-term project deliverables with long-term foundational research initiatives.

• Ensure high standards of scientific rigor and reproducibility in research outputs.

Benefits:

• A competitive salary based on your experience.

• Above the market stock options—we give generous equity rewards to employees who buy into our mission and think long-term.

• We will invest in what you need to be at your best—whether it’s a standing desk, an ergonomic chair, or continuing education.

• The chance to tackle the most interesting and impactful problems and build everything from zero to one—there’s absolutely no boredom!

Experience Requirements:

• Proficient in React / Typescript with 6+ years of experience

• Extensive experience with collaborative editor tools or similar productivity tools

• Experience with CI/CD pipelines

• Familiar with CRDT and Yjs

Other Requirements:

• Plus: experience with Rust / Go / C++

• Plus: experience with backend development

• You are mission-driven. You are a great team player and a self-starter. You dream big, start small, and move fast.

• You are passionate about AppFlowy and open-source.

• Great communication skills. We work asynchronously by default.

Responsibilities:

• You’ll be building features from scratch and have full ownership over the whole process.

• You’ll wear many hats and jump between frontend, backend, product, operations and developer advocate.

• You’ll write high quality and well-documented code.

• You’ll perform code reviews and collaborate with others in the wider community.

• You’ll receive feedback from the best developers from all over the world.You’ll become an expert on collaborative software and a leader in open source.

Experience Requirements:

• Strong Python skills, including Pandas

• Solid Foundation of programming, algorithms, and computer basics, good coding style, strong hands-on ability

• Familiar with Stable Diffusion

• Development and deployment of ETL, data engineering, APIs, and scraping

• Database: SQL, NoSQL (MongoDB), ORM Basic DevOps with experience in AWS Familiar with git, have experience with CI/CD Familiar with Linux Familiar with Docker Bonus: Machine Learning, Statistics, Deep Learning Bonus: Graph theory

Education Requirements:

• Master’s Degree or Ph.D. in computer science or equivalent field.

• Master’s Degree or Ph.D. in artificial intelligence, machine learning, computer vision, image processing, natural language processing, signal processing, computer graphics, or equivalent field.

• Bachelor’s Degree

Experience Requirements:

• Knowledge and hands-on experience with high level programming languages, such as C/C++, Python.

• Knowledge and hands-on experience with ML-based image object classification, object detection, and NLP.

Responsibilities:

• Design and develop SDK for a proprietary NeuroMorphic Processor in the AI/ML field.

• Analyze, troubleshoot, design, and develop tests and test-automation suites.

• Perform quantitative analysis on the performance of the developed solutions.

• Provide ongoing maintenance, support, and enhancements in existing software.

Education Requirements:

• Bachelor’s in computer engineering, electronics engineering, or related field.

Experience Requirements:

• 5+ years hands-on experience with focus on front-end complex RTL Verilog design.

• Highly motivated and skillful at solving difficult technical problems.

Responsibilities:

• RTL Design and verification

• FPGA prototyping, Benchmark using EDA tool

• Chip integration, simulation, synthesis, power analysis

Experience Requirements:

• 3+ Years Exp.

• DevOps Skills: CI/CD Pipeline | Terraform or CloudFormation | Ansible, Puppet, or Chef | Docker and Kubernetes | Git

• Big Data Technologies: HDFS, MapReduce, Hive, Pig, Spark | Cassandra, MongoDB, HBase | Apache Kafka

• Programming and Scripting: Java, Python, or Scala

• Cloud Platforms: AWS, Azure, or Google Cloud | AWS EMR, Azure HDInsightSecurity: Knowledge of security best practices for infrastructure and dataProblem-Solving and Troubleshooting

Responsibilities:

• Big Data DevOps Engineer specializing in data infrastructure and operations