Machine Learning Engineer

Job Title : Backend Engineer (AI-First | FinTech/Crypto)

Experience : 3 to 6 Years

Location : Gurugram (Sector 49)

Working Hours : 10:00 AM – 6:00 PM

Work Mode : On-site | 6 Days Working

Employment Type : Full-time

Role Overview :

This is not a typical ticket-based engineering role. You will take end-to-end ownership of systems—designing architecture, building scalable solutions, and solving real-world performance challenges.

We operate in an AI-first engineering environment, leveraging advanced tools and automation workflows to build high-performance distributed systems.

Mandatory Skills :

Java/Spring Boot or Node.js, System Design (HLD/LLD), Distributed Systems, Event-Driven Architecture (Kafka/RabbitMQ), Low-Latency APIs, PostgreSQL/MongoDB, CI/CD, Docker/Kubernetes, AI-assisted development (Copilot/Cursor/Claude)

Key Responsibilities :

• Design and build scalable backend systems (Java/Spring Boot, Node.js, or similar).
• Architect and implement event-driven systems (Kafka, RabbitMQ, pub/sub).
• Develop secure and reliable financial systems with strong data integrity.
• Solve scalability and performance challenges in fintech/crypto environments.
• Own features end-to-end: design → development → deployment → monitoring.
• Work with real-time data pipelines (WebSockets, streaming, event sourcing).
• Define service contracts and optimize system architecture.

AI-First Engineering (Must-Have Mindset) :

You will :

• Use tools like GitHub Copilot, Cursor, and Claude in daily development
• Follow spec-driven development using structured instructions
• Review, validate, and ship AI-generated code with strong engineering judgment

Core Requirements :

• 3+ years of backend development experience.
• Strong expertise in Java (Spring Boot) or Node.js.
• Solid understanding of System Design (HLD/LLD, Distributed Systems).
• Experience with event-driven architectures (Kafka, RabbitMQ, async pipelines).
• Hands-on experience building low-latency, high-throughput systems.
• Strong database knowledge (PostgreSQL, MongoDB, etc.).
• Understanding of security, performance optimization, and reliability.
• Experience with CI/CD, Git, Docker, Kubernetes.
• Exposure to React / React Native is a plus.

Good to Have (Differentiators) :

• Experience in FinTech / Crypto / Web3 / Blockchain.
• Built systems for trading, payments, or real-time financial data.
• Experience with AI agents, automation pipelines, or agent-based systems.
• Exposure to parallel AI workflows (coding / testing / refactoring).
• Contributions to open source or technical blogs.
• Experience handling production-scale systems.

About NonStop io Technologies

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.

Brief Description:

We're seeking an AI/ML Engineer to join our team. As AI/ML Engineer, you will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions to solve real-world business problems. You will work closely with engineering teams, including software engineers, domain experts, and product managers, to deploy and integrate Applied AI/ML solutions into the products that are being built at NonStop io. Your role will involve researching cutting-edge algorithms and data processing techniques, and implementing scalable solutions to drive innovation and improve the overall user experience.

Responsibilities

● Applied AI/ML engineering; Building engineering solutions on top of the AI/ML tooling available in the industry today. Eg: Engineering APIs around OpenAI

● AI/ML Model Development: Design, develop, and implement machine learning models and algorithms that address specific business challenges, such as natural language processing, computer vision, recommendation systems, anomaly detection, etc.

● Data Preprocessing and Feature Engineering: Cleanse, preprocess, and transform raw data into suitable formats for training and testing AI/ML models. Perform feature engineering to extract relevant features from the data

● Model Training and Evaluation: Train and validate AI/ML models using diverse datasets to achieve optimal performance. Employ appropriate evaluation metrics to assess model accuracy, precision, recall, and other relevant metrics

● Data Visualization: Create clear and insightful data visualizations to aid in understanding data patterns, model behaviour, and performance metrics

● Deployment and Integration: Collaborate with software engineers and DevOps teams to deploy AI/ML models into production environments and integrate them into various applications and systems

● Data Security and Privacy: Ensure compliance with data privacy regulations and implement security measures to protect sensitive information used in AI/ML processes

● Continuous Learning: Stay updated with the latest advancements in AI/ML research, tools, and technologies, and apply them to improve existing models and develop novel solutions

● Documentation: Maintain detailed documentation of the AI/ML development process, including code, models, algorithms, and methodologies for easy understanding and future reference.

Qualifications & Skills

● Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, or a related field. Advanced degrees or certifications in AI/ML are a plus

● Proven experience as an AI/ML Engineer, Data Scientist, or related role, ideally with a strong portfolio of AI/ML projects

● Proficiency in programming languages commonly used for AI/ML. Preferably Python

● Familiarity with popular AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, etc.

● Familiarity with popular AI/ML Models such as GPT3, GPT4, Llama2, BERT etc.

● Strong understanding of machine learning algorithms, statistics, and data structures

● Experience with data preprocessing, data wrangling, and feature engineering

● Knowledge of deep learning architectures, neural networks, and transfer learning

● Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for scalable AI/ML deployment

● Solid understanding of software engineering principles and best practices for writing maintainable and scalable code

● Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative solutions

● Effective communication skills to collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders

JOB DETAILS:

- Job Title: Lead I - Data Science - Python, Machine Learning, Spark 

- Industry: Global Digital Transformation Solutions Provider

- Experience: 5-10 years

- Job Location: Pune

- CTC Range: Best in Industry

JD for Data Scientist

Hands-on experience with data analysis tools:

Proficient in using tools such as Python and R for data manipulation, querying, and analysis.

Skilled in utilizing libraries like Pandas, NumPy, and Scikit-Learn to perform in-depth data analysis and modeling.

Skilled in machine learning and predictive analytics:

Expertise in building, training, and deploying machine learning models using frameworks such as TensorFlow and PyTorch.

Capable of performing tasks like regression, classification, clustering, and recommendation, leading to data-driven predictions and insights.

Expertise in big data technologies:

Proficient in handling large datasets using big data tools such as Spark.

Skilled in employing distributed computing and parallel processing techniques to ensure efficient data processing, storage, and analysis, enabling enterprise-level solutions and informed decision-making

Skills: Python, SQL, Machine Learning, and Deep Learning, with mandatory expertise in Generative AI.

Must-Haves

5–9 years of relevant experience in Python, SQL, Machine Learning, and Deep Learning, with mandatory expertise in Generative AI

******

NP - Immediate joiners only

Location-Pune 

Job Title: Accounts Executive

Location: Bengaluru, India

Experience: 1–2 Year 

Company Overview

IAI Solution Pvt Ltd, operates at the edge of applied AI where foundational research meets real-world deployment. We craft intelligent systems that think in teams, adapt with context, and deliver actionable insights across domains.

Position Summary

We are seeking a detail-oriented Accounts Executive to support bookkeeping, compliance, payroll, and day-to-day financial operations using Zoho Books/ERP Next.

Key Responsibilities

• Bookkeeping & Accounting Support
• Record daily financial transactions in Zoho Books / ERP Next.
• Maintain sales, purchase, expense, and journal entries with proper documentation.
• Assist in bank, vendor, and customer reconciliations.
• Ensure correct classification of expenses and income under appropriate ledger heads.
• Accounts Payable & Receivable
• Support in processing vendor bills and employee reimbursements.
• Assist in tracking receivables and payables for timely settlements.
• Compliance & Documentation
• Help prepare data for GST, TDS, PF, and Professional Tax filings.
• Maintain statutory records and supporting documents.
• Organize invoices, agreements, challans, and compliance proofs for audit readiness.
• Payroll & HR Accounting
• Assist in salary processing and payroll data preparation.
• Maintain employee master data and payroll-related documentation.

Required Skills & Qualifications

• Bachelor’s degree in Commerce, Accounting, or Finance.
• 1–2 years of experience in accounting or bookkeeping.
• Basic knowledge of:
• Accounting principles
• GST & TDS fundamentals
• MS Excel & Word
• Experience with Zoho Books or ERP Next preferred.
• Strong attention to detail and accuracy.

Organising appointments and meetings with Doctors/Distibutors - hospital & healthcare staff

identifying and establishing new business

negotiating contracts,New Distibutors,demonstrating or presenting products to healthcare staff including doctors, nurses and pharmacists.

undertaking relevant follow up meeting with Doctors/Clinicians/Technicians/Nurses/Distributors.  

managing budgets,reviewing sales performance

writing reports and other documents.                  

Hard working & Target oriented, willing to travel extensively

Role: Associate - Employer Branding

Experience: 1-3 years

Location: Hyderabad

Technovert is not a typical IT services firm. We have to credit two of our successful products generating $2M+ in licensing/SaaS revenues which is rare in the industry.

We are Obsessed with our love for technology and the infinite possibilities it can create for making this world a better place. Our clients find us at our best when we are challenged with their toughest of the problems and we love chasing the problems. It thrills us and motivates us to deliver more. Our global delivery model has earned the trust and reputation of being a partner of choice.

We have a strong heritage built on great people who put customers first and deliver exceptional results with no surprises - every time. We partner with you to understand the interconnection of user experience, business goals, and information technology. It's the optimal fusing of these three drivers that delivers

Responsibilities:

• Drive Technovert’s Employee Value Proposition and talent attraction strategy externally and internally.
• Infuse human element into all communications to personify the brand and demonstrate an emotional connect with employees.
• Drive brand evangelists network internally by working in collaboration with Marketing, HR & Talent Acquisition leaders on employee branding, campaigns, programs, and events to boost pride amongst associates.
• Promote employee referral programs to foster referrals.
• Plan and execute campaigns to maintain the company's positioning on social media platforms like LinkedIn, Instagram, YouTube, and Facebook.
• Design email marketing campaigns to promote positive referrals on job portals like Glassdoor, Naukri and Ambition Box.
• Expand the company's online presence on different employment sites, developing creative ways to draw prospective employees to the company's website and identifying new recruitment opportunities through social media.
• Developing employer branding event concepts - online and in person.
• Organizing employer branding material.

Must have:

• Sound understanding of brand management strategies.
• Great interpersonal communication to influence and prepare speakers.
• Hands-on experience with social media management.
• Strategic thinking and problem-solving skills.
• Strong communications and organizational skills.
• Meticulous attention to detail.
• Multi-tasker with a strong work ethic.
• Creativity.

Nice to Have:

•   Presence on Social Media platforms.
•   Understanding of E-mail Marketing.

Qualification: 

MBA/PGDM with majors/minors in Marketing.

Minimum 4 to 14 Years OTM Technical / Functional experience

• Must have functional and techno-functional experience in OTM implementation and/or have supported projects dealing with these systems, and/or have worked on OTM Cloud
• Must have strong technical and functional knowledge of the latest OTM Application
• Must have knowledge of preparing mapping document to interface OTM system with EDI, WMS, order management and finance systems, and be able to translate the functional specifications into design specifications for the Offshore Delivery Centre
• Must have ability to write SQL statements for automation agents and other technical topics
• Hands on experience on JSPX/XSL will be additional advantage.
• Experience in end-to-end OTM life cycle/implementations/up-gradation and OTM architecture will be preferred