ui/ux designer and developer

This opportunity through ClanX is for Parspec (direct payroll with Parspec)

Please note you would be interviewed for this role at Parspec while ClanX is a recruitment partner helping Parspec find the right candidates and manage the hiring process.

Parspec is hiring a Machine Learning Engineer to build state-of-the-art AI systems, focusing on NLP, LLMs, and computer vision in a high-growth, product-led environment.

Company Details:

Parspec is a fast-growing technology startup revolutionizing the construction supply chain. By digitizing and automating critical workflows, Parspec empowers sales teams with intelligent tools to drive efficiency and close more deals. With a mission to bring a data-driven future to the construction industry, Parspec blends deep domain knowledge with AI expertise.

Requirements:

• Bachelor’s or Master’s degree in Science or Engineering.
• 5-7 years of experience in ML and data science.
• Recent hands-on work with LLMs, including fine-tuning, RAG, agent flows, and integrations.
• Strong understanding of foundational models and transformers.
• Solid grasp of ML and DL fundamentals, with experience in CV and NLP.
• Recent experience working with large datasets.
• Python experience with ML libraries like numpy, pandas, sklearn, matplotlib, nltk and others.
• Experience with frameworks like Hugging Face, Spacy, BERT, TensorFlow, PyTorch, OpenRouter or Modal.

Requirements:

Must haves

• Design, develop, and deploy NLP, CV, and recommendation systems
• Train and implement deep learning models
• Research and explore novel ML architectures
• Build and maintain end-to-end ML pipelines
• Collaborate across product, design, and engineering teams
• Work closely with business stakeholders to shape product features
• Ensure high scalability and performance of AI solutions
• Uphold best practices in engineering and contribute to a culture of excellence
• Actively participate in R&D and innovation within the team

Good to haves

• Experience building scalable AI pipelines for extracting structured data from unstructured sources.
• Experience with cloud platforms, containerization, and managed AI services.
• Knowledge of MLOps practices, CI/CD, monitoring, and governance.
• Experience with AWS or Django.
• Familiarity with databases and web application architecture.
• Experience with OCR or PDF tools.

Responsibilities:

• Design, develop, and deploy NLP, CV, and recommendation systems
• Train and implement deep learning models
• Research and explore novel ML architectures
• Build and maintain end-to-end ML pipelines
• Collaborate across product, design, and engineering teams
• Work closely with business stakeholders to shape product features
• Ensure high scalability and performance of AI solutions
• Uphold best practices in engineering and contribute to a culture of excellence
• Actively participate in R&D and innovation within the team

Interview Process

1. Technical interview (coding, ML concepts, project walkthrough)
2. System design and architecture round
3. Culture fit and leadership interaction
4. Final offer discussion

Company Description

Apollo Finvest is a publicly listed Non-Banking Financial Company (NBFC). Think of us as AWS for Lending. We enable any company to offer fully digital and compliant digital loan products to their end customers. Built on modern Restful APIs, we treat the financial services on our platform as building blocks, which our partners can mix and match to create loan products specifically tailored to their business model. 

Key Responsibilities

- Working closely with the Credit, Business, and Compliance team to manage and mitigate risk exposure.

- Monitoring of loan accounts, checking loan documents & timely preparing various MIS reports.

- Streamline operational processes to enhance efficiency.

- Ensure completeness of documentation in accordance with approved terms and conditions.

- Develop Risk and Operational strategy for line management, collections, underwriting, pricing etc.

- Assist COO and Credit team with operational and financial data analysis to establish early warning signals for risk exposure across lending products.

- Complying with RBI/Regulatory guidelines and establishing processes to safeguard risk exposure

Minimum Requirements

- Proven experience of minimum 5 years in progressively responsible risk and/or operations roles within the NBFC sector

- Has experience with scaling and managing lending products

- Attitude to work at lightning fast speed

- Background of underwriting, credit sanctioning, or credit policy drafting would be given a strong preference

- The candidate must be exceptional in people management, communication, and presentation skills.

- A proven track record of managing partners and engaging in solution selling would be preferred

- Highly organized and efficient, with the ability to multitask and meet tight deadlines

A strong work ethic and a result-oriented approach

*The CTC range exceeds to what is shown in the job description*

Job Sector: IT , Software

Job Type: Permanent

Location: Sholinganallur (Chennai)

Experience: 6 -8 Years

Salary: 11 – 13 LPA

Education: Any Graduate

Notice Period: Immediate

Key Skills: CI/CD Tools –Maven, Gradle, Fastlane, Jenkins, Travis

CV submission closing date: 22/07/2021

Contact at triple eight two zero nine four two double seven

Job Responsibilities:

• Design, develop, ship, and motivate the creation of software and systems to increase product reliability and organizational efficiency.
• Guide reliability practices through the entire software development lifecycle through activities like architecture reviews, code reviews, creating platforms and frameworks, capacity planning, and chaos testing.
• Maintain service health through monitoring and incident response.
• Improve service reliability through blameless post-incident reviews and using code to prevent or respond to problem recurrence.

Required Skills:

• BS degree in Computer Science, related technical field, or equivalent practical experience.
• Experience writing code in Java, Go, Shell, Perl, Python, or a similar language.
• Ability to debug, optimize code, and automate routine tasks.
• Strong interest in SRE topics like SLOs, resilience, scaling, performance, and more.
• We get excited about engineers who:
• have previous experience with public clouds and enabling technology (AWS & Terraform preferred or other similar technologies)
• Familiar on one or more CI/CD Tools – Maven, Gradle, Fastlane, Jenkins, Travis/CircleCI
• Experience designing using asynchronous messaging patterns

• Python knowledge: object-oriented programming: inheritance, abstract classes, dataclass, dependency injection, design patterns: comand-query, repository, adapter, hexagonal architecture, swagger/Open API, flask, connexion
• Experience on AWS services: lambda, ecs, sqs, s3, dynamodb, auroradb
• Experience with following libraries boto3, behave, pytest, moto, localstack, docker
• Basic knowledge about terraform, gitlab ci
• Experience with SQL DB

• Good experience and exposure of cloud native architecture, development and deployment on public clouds AWS, Google Cloud etc
• Responsible for Linux server installation, maintain, monitoring, data backup and recovery, securtiy and administration
• Understanding of clusters, distributed architecture, container environment 
• Experience in networking, including linux, software defined networking, network virtualization, open protocols, application acceleration and load balancing, DNS, virtual private networks
• Knowledge of several middleware such as MySQL, Apache etc
• Responsible for managing network storage
• Disaster recovery and incident response planning
• Configuring/monitoring firewalls, routers, switches and other network devices

• Support the globally distributed cloud development and teams by mainitaning the cloud infrastructure labs hosted in a hybrid cloud environment
• Contribute towards optimization of preformance and acost of running the labs