UI/UX Designer

Experience: 1-3 years

Location: Bangalore

Notice:Immediate Joiner

ResponsibilitiesTo attend to user issue and handle tickets raised by user

• Strong experience in SQL , PostgreSQL, PL/SQL
• Providing L2 support depending upon the priority of issue to meet client SLA. 
• Regularly monitoring S-MAX ticketing tool. 
• Incident management- logging, prioritizing and resolving/debugging incidents.  Worked on various monitoring tools like open bravo, GCP. 
• Writing the SQL queries as per the business need. 
• JAVA  HTML, CSS  Modify existing Shell Script on Unix Platform whenever required.  Interact with Global Customers / Users.  Scheduling the jobs through Crontab. 
• TOOLS  Regularly checking the business mail and reply to the clients or the respective  team
• Excellent written and verbal communication skills in English with the ability to clearly articulate solutions to complex technical problems Ability to work with Business heads, administrators and developers Excellent time management skills

• Strong IT Technical Recruiter Profiles
• Mandatory (Experience 1): Must have 3+ years of experience in end-to-end IT recruitment (sourcing, screening, interviewing, and offer negotiation)
• Mandatory (Experience 2): Must have hands-on experience hiring for core technical roles
• Mandatory (Skill): Strong grasp of technical concepts and ability to evaluate candidate fit for skills
• Mandatory (Communication): Excellent verbal and written communication skills — should be articulate, confident, and well-spoken in client and candidate interactions
• Mandatory (Company) - Product

Required Skills & Qualifications

● Strong hands-on experience with LLM frameworks and models, including LangChain,

OpenAI (GPT-4), and LLaMA

● Proven experience in LLM orchestration, workflow management, and multi-agent

system design using frameworks such as LangGraph

● Strong problem-solving skills with the ability to propose end-to-end solutions and

contribute at an architectural/system design level

● Experience building scalable AI-backed backend services using FastAPI and

asynchronous programming patterns

● Solid experience with cloud infrastructure on AWS, including EC2, S3, and Load

Balancers

● Hands-on experience with Docker and containerization for deploying and managing

AI/ML applications

● Good understanding of Transformer-based architectures and how modern LLMs work

internally

● Strong skills in data processing and analysis using NumPy and Pandas

● Experience with data visualization tools such as Matplotlib and Seaborn for analysis

and insights

● Hands-on experience with Retrieval-Augmented Generation (RAG), including

document ingestion, embeddings, and vector search pipelines

● Experience in model optimization and training techniques, including fine-tuning,

LoRA, and QLoRA

Nice to Have / Preferred

● Experience designing and operating production-grade AI systems

● Familiarity with cost optimization, observability, and performance tuning for

LLM-based applications

● Exposure to multi-cloud or large-scale AI platforms

Senior Machine Learning Engineer

About the Role

We are looking for a Senior Machine Learning Engineer who can take business problems, design appropriate machine learning solutions, and make them work reliably in production environments.

This role is ideal for someone who not only understands machine learning models, but also knows when and how ML should be applied, what trade-offs to make, and how to take ownership from problem understanding to production deployment.

Beyond technical skills, we need someone who can lead a team of ML Engineers, design end-to-end ML solutions, and clearly communicate decisions and outcomes to both engineering teams and business stakeholders. If you enjoy solving real problems, making pragmatic decisions, and owning outcomes from idea to deployment, this role is for you.

What You’ll Be Doing

Building and Deploying ML Models

• Design, build, evaluate, deploy, and monitor machine learning models for real production use cases.
• Take ownership of how a problem is approached, including deciding whether ML is the right solution and what type of ML approach fits the problem.
• Ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments.
• Work with data engineers to design and validate data pipelines that feed ML systems.
• Optimize solutions for accuracy, performance, cost, and maintainability, not just model metrics.

Leading and Architecting ML Solutions

• Lead a team of ML Engineers, providing technical direction, mentorship, and review of ML approaches.
• Architect ML solutions that integrate seamlessly with business applications and existing systems.
• Ensure models and solutions are explainable, auditable, and aligned with business goals.
• Drive best practices in MLOps, including CI/CD, model monitoring, retraining strategies, and operational readiness.
• Set clear standards for how ML problems are framed, solved, and delivered within the team.

Collaborating and Communicating

• Work closely with business stakeholders to understand problem statements, constraints, and success criteria.
• Translate business problems into clear ML objectives, inputs, and expected outputs.
• Collaborate with software engineers, data engineers, platform engineers, and product managers to integrate ML solutions into production systems.
• Present ML decisions, trade-offs, and outcomes to non-technical stakeholders in a simple and understandable way.

What We’re Looking For

Machine Learning Expertise

• Strong understanding of supervised and unsupervised learning, deep learning, NLP techniques, and large language models (LLMs).
• Experience choosing appropriate modeling approaches based on the problem, available data, and business constraints.
• Experience training, fine-tuning, and deploying ML and LLM models for real-world use cases.
• Proficiency in common ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.

Production and Cloud Deployment

• Hands-on experience deploying and running ML systems in production environments on AWS, GCP, or Azure.
• Good understanding of MLOps practices, including CI/CD for ML models, monitoring, and retraining workflows.
• Experience with Docker, Kubernetes, or serverless architectures is a plus.
• Ability to think beyond deployment and consider operational reliability and long-term maintenance.

Data Handling

• Strong programming skills in Python.
• Proficiency in SQL and working with large-scale datasets.
• Ability to reason about data quality, data limitations, and how they impact ML outcomes.
• Familiarity with distributed computing frameworks like Spark or Dask is a plus.

Leadership and Communication

• Ability to lead and mentor ML Engineers and work effectively across teams.
• Strong communication skills to explain ML concepts, decisions, and limitations to business teams.
• Comfortable taking ownership and making decisions in ambiguous problem spaces.
• Passion for staying updated with advancements in ML and AI, with a practical mindset toward adoption.

Experience Needed

• 6+ years of experience in machine learning engineering or related roles.
• Proven experience designing, selecting, and deploying ML solutions used in production.
• Experience managing ML systems after deployment, including monitoring and iteration.
• Proven track record of working in cross-functional teams and leading ML initiatives.

DRIVING SKILLS

COMMUNICATION SKILL

DRIVING SKILLS

COMMUNICATION SKILL

DRIVING SKILLS

COMMUNICATION SKILL

DRIVING SKILLS

COMMUNICATION SKILL

DRIVING SKILLS

COMMUNICATION SKILL

About our Client

Our client is a B2B2C tech firm backed by India’s largest retailer and tech venture capitalist founded by founders - IITB Graduates who are experienced in retail, ecommerce and fintech

It aims to become one app to manage all your brands loyalty points, cashback and coupons. It will have additional content and discovery layer for customers and brands for further engagement and commerce.

The company currently powers closed-loop loyalty programs for all different brands under its parent retail group. Currently, it has 20Mn+ registered customers and 3Mn MAU across 8 brands. Its vision is to be at the center of D2C Brands and the consumer consumption ecosystem

Job Location -Bangalore

Job  Location: Bangalore

Key Responsibilities

• 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
• High volume of data and requests to be managed

Required Skills and Qualifications

• BE / MCA / B.Sc-IT / B.Tech in Computer Science or a related field.
• 3-5 years overall development experience.
• Strong proficiency with JavaScript
• Knowledge of Node.js and frameworks
• Understanding the nature of asynchronous programming and its quirks and workarounds
• 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
• 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

What you need to have:

• MBA degree in HR is a must
• Proficiency in MS Excel
• Excellent interpersonal and communication skills
• Ability to multitask and prioritize daily workload
• Excellent decision making and analytical skills
• Ability to work in fast paced business environment
• Team handling skills
• Ability to handle sensitive and confidential information
• Creative thinker and proactive problem solver
• Strong understanding of full-cycle recruitment processes and employer branding techniques
• Strong sales and negotiation skills
• Strong work ethics
• Experience from an ecommerce or health tech company would be strongly preferred    

• Write, test, debug and ship code and gather feedback on the scale, performance, security to incorporate back into the platform. 

• Work with the founders to identify complex technical problems and solve them. 
• Work with the product design and client experience development team to support 

them with scalable services 

• Feed into the overall mission and vision of the eParchi’s platform over the period of the coming months and years. 

• An ability to perform well in a fast-paced environment 
• Excellent analytical and multitasking skills.