Project Manager/ Cutlist

• Strong Product Design Profile, with a focus on B2B Enterprise products
• Mandatory (Experience 1) – Must have 4+ YOE in hands-on experience in Product Design, with recent 2+ YOE in complex B2B Enterprise scale Products
• Mandatory (Experience 2) – Must have strong hands-on experience in solving complex B2B workflows, creating wireframes, UI mockups and prototypes
• Mandatory (Portfolio) - Must have strong Product Designs for complex B2B Enterprise level applications, (like B2B dashboards, Admin configurations, analytics etc)
• Mandatory (Company) - Large-Scale B2B SaaS / Enterprise-level Products

About Us

CLOUDSUFI, a Google Cloud Premier Partner, a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance.

Our Values

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at https://www.cloudsufi.com/.

Role Overview:

As a Senior Data Scientist / AI Engineer, you will be a key player in our technical leadership. You will be responsible for designing, developing, and deploying sophisticated AI and Machine Learning solutions, with a strong emphasis on Generative AI and Large Language Models (LLMs). You will architect and manage scalable AI microservices, drive research into state-of-the-art techniques, and translate complex business requirements into tangible, high-impact products. This role requires a blend of deep technical expertise, strategic thinking, and leadership.

Key Responsibilities:

• Architect & Develop AI Solutions: Design, build, and deploy robust and scalable machine learning models, with a primary focus on Natural Language Processing (NLP), Generative AI, and LLM-based Agents.
• Build AI Infrastructure: Create and manage AI-driven microservices using frameworks like Python FastAPI, ensuring high performance and reliability.
• Lead AI Research & Innovation: Stay abreast of the latest advancements in AI/ML. Lead research initiatives to evaluate and implement state-of-the-art models and techniques for performance and cost optimization.
• Solve Business Problems: Collaborate with product and business teams to understand challenges and develop data-driven solutions that create significant business value, such as building business rule engines or predictive classification systems.
• End-to-End Project Ownership: Take ownership of the entire lifecycle of AI projects—from ideation, data processing, and model development to deployment, monitoring, and iteration on cloud platforms.
• Team Leadership & Mentorship: Lead learning initiatives within the engineering team, mentor junior data scientists and engineers, and establish best practices for AI development.
• Cross-Functional Collaboration: Work closely with software engineers to integrate AI models into production systems and contribute to the overall system architecture.
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Required Skills and Qualifications

• Master’s (M.Tech.) or Bachelor's (B.Tech.) degree in Computer Science, Artificial Intelligence, Information Technology, or a related field.
• 6+ years of professional experience in a Data Scientist, AI Engineer, or related role.
• Expert-level proficiency in Python and its core data science libraries (e.g., PyTorch, Huggingface Transformers, Pandas, Scikit-learn).
• Demonstrable, hands-on experience building and fine-tuning Large Language Models (LLMs) and implementing Generative AI solutions.
• Proven experience in developing and deploying scalable systems on cloud platforms, particularly AWS. Experience with GCS is a plus.
• Strong background in Natural Language Processing (NLP), including experience with multilingual models and transcription.
• Experience with containerization technologies, specifically Docker.
• Solid understanding of software engineering principles and experience building APIs and microservices.

Preferred Qualifications

• A strong portfolio of projects. A track record of publications in reputable AI/ML conferences is a plus.
• Experience with full-stack development (Node.js, Next.js) and various database technologies (SQL, MongoDB, Elasticsearch).
• Familiarity with setting up and managing CI/CD pipelines (e.g., Jenkins).
• Proven ability to lead technical teams and mentor other engineers.
• Experience developing custom tools or packages for data science workflows.

Job Description

Phonologies is seeking a Senior Data Engineer to lead data engineering efforts for developing and deploying generative AI and large language models (LLMs). The ideal candidate will excel in building data pipelines, fine-tuning models, and optimizing infrastructure to support scalable AI systems for enterprise applications.

Role & Responsibilities

• Data Pipeline Management: Design and manage pipelines for AI model training, ensuring efficient data ingestion, storage, and transformation for real-time deployment.
• LLM Fine-Tuning & Model Lifecycle: Fine-tune LLMs on domain-specific data, and oversee the model lifecycle using tools like MLFlow and Weights & Biases.
• Scalable Infrastructure: Optimize infrastructure for large-scale data processing and real-time LLM performance, leveraging containerization and orchestration in hybrid/cloud environments.
• Data Management: Ensure data quality, security, and compliance, with workflows for handling sensitive and proprietary datasets.
• Continuous Improvement & MLOps: Apply MLOps/LLMOps practices for automation, versioning, and lifecycle management, while refining tools and processes for scalability and performance.
• Collaboration: Work with data scientists, engineers, and product teams to integrate AI solutions and communicate technical capabilities to business stakeholders.

Preferred Candidate Profile

• Experience: 5+ years in data engineering, focusing on AI/ML infrastructure, LLM fine-tuning, and deployment.
• Technical Skills: Advanced proficiency in Python, SQL, and distributed data tools.
• Model Management: Hands-on experience with MLFlow, Weights & Biases, and model lifecycle management.
• AI & NLP Expertise: Familiarity with LLMs (e.g., GPT, BERT) and NLP frameworks like Hugging Face Transformers.
• Cloud & Infrastructure: Strong skills with AWS, Azure, Google Cloud, Docker, and Kubernetes.
• MLOps/LLMOps: Expertise in versioning, CI/CD, and automating AI workflows.
• Collaboration & Communication: Proven ability to work with cross-functional teams and explain technical concepts to non-technical stakeholders.
• Education: Degree in Computer Science, Data Engineering, or related field.

Perks and Benefits

• Competitive Compensation: INR 20L to 30L per year.
• Innovative Work Environment for Personal Growth: Work with cutting-edge AI and data engineering tools in a collaborative setting, for continuous learning in data engineering and AI.

Founded in 2016, they are one of the leading online scheduling software companies in the world, with over 200,000 customers globally. They are a profitable, high-growth bootstrapped platform-as-a-product company with 50+ team members looking to grow to $50M in revenue in the next 3 years. 

Role: SSE- Backend [Golang]

Location: Remote (India)

CTC: 22-26 LPA

NP: 30 days or less

Note: Other Backend Language /Frameworks like Python, NodeJS and Java Springboot and willingness to learn Golang can also be considered

Skillset Requirements:

- Strong experience with backend programming languages and technologies like

- Golang (minimum 2-year experience)

- Protobuf and gRPC

- RESTful APIs

- Docker and Kubernetes

- Medium-level experience with PostgreSQL and MySQL database concepts.

- Ability to write efficient, secure, well-documented, and clean code.

- Proven ability to work with multiple teams, multitask and prioritize.

- Experience with Git, JIRA, and Agile working methodology.

- Experience with design patterns, Event-Driven architecture, and Domain Driven Designs.

Responsibilities:

- Write code that meets standard and delivery guidelines.

- Mentor fellow engineers in the team to develop high-quality software and perform code

reviews.

- Work with the team to break user stories into tasks and delegate them to the team

members.

- Playing a key role in architectural and design decisions, building toward an efficient

microservices distributed architecture.

- Analyze solutions and help implement engineering best practices.

- Work with Project Managers for timely delivery and forecast.

- Lead and mentor junior engineers on technical issues. Perform blameless RCAs when

issues occur and take ownership to resolve issues.

#remotejobs #bootstrapped #platformasaproduct #highgrowth

• Assess automation opportunities from a technical perspective and provide document solutions in the form of SDD
• Perform detailed estimations towards the finalized scope
• Design, develop, and test automation workflows
• Prepare solution presentation documents, present the solution and implementation plan to the CoE teams and project stakeholders
• Understand client’s business requirements and clearly document them in order for RPA developers to deploy the automation projects in an optimal manner
• Deploy RPA components including bots, robots, development tools, code repositories, and logging tools
• Create process and end-user documentation
• Collaborate with other development team members and guide junior developers to ensure proper implementation and integration of the solutions
• Perform peer review of developed components and test cases
• Support deployments or troubleshoot production issues; flexible to work in shifts when the demand arises
• Should be able to report project status to the stakeholders.

Skills Required

• UiPath
• UiPath Orchestrator
• Sound Knowledge of Microsoft VB, Excel, Macros
• Microsoft Visio, Freemind or equivalent tool
• Documentation and presentation using Microsoft Word and Powerpoint
• Understanding of CSS, HTML
• Experience in automating SAP flows in UiPath
• Excellent communication and presentation skills
• Template development in ABBYY OCR tool and integration if the solution in UiPath
• Knowledge of processes in the Manufacturing/Automotive domain
• Certified Advanced RPA Developer (UiARD)
• Knowledge of other RPA tools

• The ideal candidate must have experience in enterprise application design, system performance and scalability
• 5+ year experience in web services, distributed systems, and highly available and scalable applications.
• Strong object-oriented programming skills in Java
• Very good knowledge of Core Java and J2EE and should have worked on high availability, low latency platforms.
• Ability to question status quo and identify bad design/code patterns which can impact performance and maintainability of the code.
• Excellent understanding of system design and design patterns.
• Previous experience with the Agile methodology.
• Experience in developing robust RESTful services is desirable.
• Have very good communication skills
• Have strong experience in the Spring framework.
• Good experience in SQL/Oracle
• BS degree in computer science or related fields. MS degree desired