HRIS

Role Overview:

Zolvit is looking for a highly skilled and self-driven Lead Machine Learning Engineer / Lead Data Scientist to lead the design and development of scalable, production-grade ML systems. This role is ideal for someone who thrives on solving complex problems using data, is deeply passionate about machine learning, and has a strong understanding of both classical techniques and modern AI systems like Large Language Models (LLMs).

You will work closely with engineering, product, and business teams to identify impactful ML use cases, build data pipelines, design training workflows, and ensure the deployment of robust, high-performance models at scale.

Key Responsibilities:

● Design and implement scalable ML systems, from experimentation to deployment.

● Build and maintain end-to-end data pipelines for data ingestion, preprocessing, feature engineering, and monitoring.

● Lead the development and deployment of ML models across a variety of use cases — including classical ML and LLM-based applications like summarization, classification, document understanding, and more.

● Define model training and evaluation pipelines, ensuring reproducibility and performance tracking.

● Apply statistical methods to interpret data, validate assumptions, and inform modeling decisions.

● Collaborate cross-functionally with engineers, data analysts, and product managers to solve high-impact business problems using ML.

● Ensure proper MLOps practices are in place for model versioning, monitoring, retraining, and performance management.

● Keep up-to-date with the latest advancements in AI/ML, and actively evaluate and incorporate LLM capabilities and frameworks into solutions.

● Mentor junior ML engineers and data scientists, and help scale the ML function across the organization.

Required Qualifications:

● 7+ years of hands-on experience in ML/AI, building real-world ML systems at scale.

● Proven experience with classical ML algorithms (e.g., regression, classification,

clustering, ensemble models).

● Deep expertise in modern LLM frameworks (e.g., OpenAI, HuggingFace, LangChain)

and their integration into production workflows.

● Strong experience with Python, and frameworks such as Scikit-learn, TensorFlow,

PyTorch, or equivalent.

● Solid background in statistics and the ability to apply statistical thinking to real-world

problems.

● Experience with data engineering tools and platforms (e.g., Spark, Airflow, SQL,

Pandas, AWS Glue, etc.).

● Familiarity with cloud services (AWS preferred) and containerization tools (Docker,

Kubernetes) is a plus.

● Strong communication and leadership skills, with experience mentoring and guiding

junior team members.

● Self-starter attitude with a bias for action and ability to thrive in fast-paced environments.

● Master’s degree in Machine Learning, Artificial Intelligence, Statistics, or a related

field is preferred.

Preferred Qualifications:

● Experience deploying ML systems in microservices or event-driven architectures.

● Hands-on experience with vector databases, embeddings, and retrieval-augmented

generation (RAG) systems.

● Understanding of Responsible AI principles and practices.

Why Join Us?

● Lead the ML charter in a mission-driven company solving real-world challenges.

● Work on cutting-edge LLM use cases and platformize ML capabilities for scale.

● Collaborate with a passionate and technically strong team in a high-impact environment.

● Competitive compensation, flexible working model, and ample growth opportunities.

About the Role

We are seeking a highly skilled Tech Lead who can drive the development of high-performance, scalable products while contributing hands-on to coding, architecture, and system design. You will work closely with a small engineering team, guiding them in technology decisions, quality delivery, and best practices while also taking ownership of key modules yourself.

Key Responsibilities

• Lead end-to-end product development from design to deployment.
• Act as both a technical contributor and mentor within a small, agile team.
• Architect scalable, robust, and secure backend and frontend systems.
• Participate in and guide:
• System design & architecture decisions
• Algorithmic analysis and performance optimization
• Database modeling and API design
• Write clean, maintainable, high-quality code.
• Own deployment pipelines and ensure reliable production releases.
• Collaborate with cross-functional stakeholders to translate requirements into actionable technical plans.
• Conduct code reviews, enforce coding standards, and ensure engineering excellence.
• Troubleshoot and solve complex technical challenges in production environments.

Required Technical Skills

• Strong expertise in Node.js and/or Python.
• Hands-on experience with TypeScript and React.js for frontend development.
• Knowledge of Go (Golang) is a strong advantage.
• Deep understanding of:
• Data Structures & Algorithms
• System Design
• Distributed systems concepts
• Microservices architecture
• Experience with deployment using:
• Docker, Kubernetes, or similar orchestration tools
• CI/CD pipelines
• Cloud platforms (AWS / GCP / Azure)
• Strong understanding of databases (SQL and NoSQL).

Soft Skills

• Strong leadership and ability to guide a small development team.
• Clear communication with technical and non-technical stakeholders.
• Ownership mindset with focus on delivering quality, on time.
• Problem-solver with the ability to make quick and correct technical decisions.

Preferred Qualifications

• 4–10 years of experience in software development.
• Prior experience in a startup or fast-moving product environment.
• Experience deploying and managing real-world products at scale.

What We Offer

• Opportunity to build and influence real products end-to-end.
• A collaborative, high-ownership environment.
• Freedom to experiment and drive product and engineering decisions.

Job Description:

We are looking for a Senior Java Developer with strong expertise in Apache Kafka and backend systems. The ideal candidate will have hands-on experience in Java (8/11+), Spring Boot, and building scalable, real-time data pipelines using Kafka.

Key Responsibilities:

• Develop and maintain backend services using Java and Spring Boot
• Design and implement Kafka-based messaging and streaming solutions
• Optimize Kafka performance (topics, partitions, consumers)
• Collaborate with cross-functional teams to deliver scalable microservices
• Ensure code quality and maintain best practices in a distributed environment

Required Skills:

• 6+ years in Java development
• 3+ years of hands-on Kafka experience (producers, consumers, streams)
• Strong knowledge of Spring Boot, REST APIs, and microservices
• Familiarity with Kafka Connect, Schema Registry, and stream processing
• Experience with containerization (Docker), CI/CD, and cloud platforms (AWS/GCP/Azure)

Dear Candidate,

We are urgently looking for a Release- Big data Engineer For Pune Location.

Experience : 5-8 yrs

Location : Pune

Skills: Big data Engineer , Release Engineer ,DevOps, Aws/Azure/GCP Cloud exp. ,

JD:

• Oversee the end-to-end release lifecycle, from planning to post-production monitoring. Coordinate with cross-functional teams (DBA, BizOps, DevOps, DNS).
• Partner with development teams to resolve technical challenges in deployment and automation test runs
• Work with shared services DBA teams for schema-based multi-tenancy designs and smooth migrations.
• Drive automation for batch deployments and DR exercises. YAML based micro service deployment using shell/Python/Go
• Provide oversight for Big Data toolsets for deployment (e.g., Spark, Hive, HBase) in private cloud and public cloud CDP environments
• Ensure high-quality releases with a focus on stability and long-term performance.
• Able to run the automation batch scripts and debug the deployment and functional aspects/ work with dev leads to resolve the release cycle issues.

Regards,

Minakshi Soni

Executive- Talent Acquisition

Rigel Networks

What You’ll Do:

Implement off-page SEO strategies to improve website rankings.

Build and manage high-quality backlinks through outreach and link-building techniques.

Research and analyze competitor backlink profiles.

Conduct keyword research to optimize link-building efforts.

Utilize tools like Ahrefs, SEMrush, and Google Search Console for performance tracking.

Collaborate with content teams for guest posting and link acquisition.

Engage in forum discussions, social bookmarking, and other off-page activities.

What We’re Looking For:

6 months to 1 year of experience in Off-Page SEO.

Familiarity with link-building tools and strategies.

Basic knowledge of Google Analytics and Search Console.

Experience with Canva for creating simple infographics and PPTs.

Passion for digital marketing and eagerness to learn.

Why Join Us?

Work on exciting projects that enhance your SEO expertise.

Gain hands-on experience with industry-leading SEO tools.

Be part of a supportive and growth-oriented team.

Designation - Nodejs Developer 

Salary - 15-35k (Negotiable)

Experience - 2-5 years

Location - Indore (Remote work also available for full time)

Positions- 4

Must have good communication skills

Immediate joiners required

Job Description-

• Integration of user-facing elements developed by front-end developers with server-side logic
• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Implementation of security and data protection
• Integration of data storage solutions 

Skills and Qualification:

• Strong proficiency with JavaScript 
• Must have 2 years of working experience in MongoDB database
• Knowledge of Node.js and frameworks available for it Understanding the nature of asynchronous programming and its quirks and workarounds
• Good understanding of server-side CSS preprocess
• Basic understanding of front-end technologies, such as HTML5, and CSS3
• Understanding accessibility and security compliance 
• User authentication and authorization between multiple systems, servers, and environments
• Integration of multiple data sources and databases into one system
• Understanding fundamental design principles behind a scalable application
• Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform
• Creating database schemas that represent and support business processes
• Implementing automated testing platforms and unit tests
• Proficient understanding of code versioning tools, such as Git