Category Manager - Skin & Hair - Series B _Health & Nutrition brand

We are hiring a Senior Data Engineer with strong expertise in Databricks, Azure Data Factory, and PySpark.

Must Have:

• Databricks, ADF, PySpark
• Mastery: AWS/Azure/SAP, ELT, Data Modeling
• Skills: Data Integration & Processing, GitHub/GitHub Actions, Azure DevOps, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest

Responsibilities:

• Build and optimize scalable data pipelines
• Architect & implement ELT/data models
• Manage data ingestion, integration, and processing workflows
• Enable CI/CD with DevOps tools
• Ensure code quality & reliability

Job Title: Desktop Engineer

Location: Thane

Qualification: B.Sc IT / Graduate in IT

Salary: ₹18,000 CTC (₹13,500 in-hand)

Experience: Fresher / Immediate joiners can apply

Role: Graphic Designer

Experience: 0-3 years

Location: Ambattur, Chennai

Responsibilities:

● Collaborate with the marketing and creative teams to understand design requirements, objectives, and target audience.

● Develop design concepts, graphics, and layouts based on the project briefs and brand guidelines.

● Create visually appealing designs for various marketing materials, including digital and print assets such as brochures, flyers, banners, social media graphics, and website elements.

● Produce high-quality illustrations, icons, and infographics that effectively communicate complex ideas and information.

● Select colors, typography, and imagery that align with the brand identity and project goals.

● Ensure all designs are visually cohesive and consistent across different platforms and channels.

● Utilize industry-standard design software and tools to create and edit graphics, such as Adobe Creative Suite (Photoshop, Illustrator, InDesign).

● Collaborate with the creative team to brainstorm and contribute innovative design ideas and concepts.

● Manage multiple design projects simultaneously while adhering to project timelines and deadlines.

● Stay updated with design trends, techniques, and best practices, and incorporate them into design projects.

● Maintain and organize design files, assets, and documentation for easy accessibility and future reference.

● Work closely with external vendors, printers, and other partners to ensure accurate and high-quality production of design materials.

● Incorporate feedback and iterate designs based on stakeholder input and requirements.

● Contribute to the continuous improvement of design processes and workflows.

Requirements:

● Bachelor's degree in graphic design, visual communication, or a related field.

● Minimum 0-3 years work experience as a Graphic Designer or in a similar role.

● Proficiency in using industry-standard design software, such as Adobe Creative Suite (Photoshop, Illustrator, InDesign).

● Strong portfolio showcasing a diverse range of design projects and styles.

● Excellent understanding of design principles, typography, color theory, and layout composition.

● Creative thinking and the ability to generate innovative design concepts and solutions.

● Strong attention to detail and a keen eye for aesthetics.

● Good communication and collaboration skills to work effectively with cross-functional teams.

● Ability to manage multiple projects simultaneously and meet deadlines.

● Knowledge of digital design principles and formats for online platforms.

● Familiarity with print production processes and specifications.

● Familiarity with UX/UI design principles and an understanding of user-centered design is a plus.

● Knowledge of motion graphics and video editing software is a plus.

Note: Send your Resume attached with Portfolio

Let’s get started on building your path to success!

Hi ,

Title                            : Senior AI/ML Engineer

Experience                 : 5 – 10+ Yrs

Location                     : Bengaluru

Work Type                : Hybrid – 2 days Work from office

Type of hire               : PwD & Non-PwD Inclusive Hiring

Employment Type     : Full Time

Notice Period             : Immediate Joiner

Workdays                   : Mon - Fri

Role Overview

We are seeking an exceptional AI Engineer who can design and build production-grade AI systems that combine advanced machine learning, Generative AI, and scalable software engineering.

This role goes beyond traditional data science and focuses on building end-to-end AI platforms, autonomous AI agents, intelligent decision systems, and enterprise AI applications.

You will work on real-world enterprise problems across industries, developing AI systems that automate reasoning, prediction, and decision-making at scale.

What You Will Build

Examples of systems you may work on:

• AI Copilots for enterprise workflows

• Autonomous AI agents for automation

• Decision intelligence platforms

• Retrieval-Augmented Generation (RAG) systems

• Predictive ML systems for forecasting and anomaly detection

• AI-powered knowledge assistants

• Intelligent automation platforms

Key Responsibilities

1. Advanced Machine Learning & Predictive Systems

Design and implement ML models including:

• Time series forecasting

• Predictive modeling

• Anomaly detection

• Recommendation systems

• NLP / text intelligence

• Deep learning models

Develop models using:

• PyTorch

• TensorFlow

• Scikit-learn

• XGBoost / LightGBM

2. Generative AI & LLM Systems

Build enterprise-grade GenAI applications including:

• AI copilots

• conversational agents

• document intelligence systems

• enterprise knowledge assistants

Develop LLM systems using:

• OpenAI / Claude / Gemini / Llama

• prompt engineering techniques

• embeddings and semantic search

• RAG architectures

3. Agentic AI Systems

Design autonomous AI systems capable of reasoning and executing tasks.

Build multi-agent architectures using:

• LangGraph

• CrewAI

• AutoGen

• Semantic Kernel

Integrate agents with:

• APIs

• enterprise data systems

• internal workflows

4. AI Platform Engineering

Develop scalable AI services and applications using:

• Python

• FastAPI / Flask

• asynchronous processing

• distributed compute frameworks

Build production-grade APIs and AI services.

5. Enterprise AI Deployment & MLOps

Deploy AI models into scalable production environments.

Work with:

• Docker

• Kubernetes

• CI/CD pipelines

• MLflow / experiment tracking

• model monitoring and drift detection

Deploy AI solutions on:

• Azure

• AWS

• GCP

6. Data Integration & AI Systems

Work with enterprise data sources including:

• relational databases

• data warehouses (Snowflake, Redshift, BigQuery)

• data lakes (S3 / Azure Data Lake)

• vector databases (Pinecone, Weaviate, FAISS)

Required Skills:

Programming

Expert-level proficiency in:

• Python

• software engineering best practices

• data structures and algorithms

Experience building production-ready systems.

Machine Learning

Strong expertise in:

• supervised learning

• unsupervised learning

• deep learning

• time-series modelling

• model evaluation and optimization

Generative AI

Experience working with:

• LLM APIs

• prompt engineering

• RAG pipelines

• embeddings and vector search

AI Architecture

Ability to design:

• scalable AI systems

• distributed ML systems

• intelligent automation platforms

Preferred Experience

• Building enterprise AI products

• Developing AI copilots or agents

• Designing decision intelligence platforms

• Experience with large-scale data systems

Ideal Candidate Profile

The ideal candidate is:

• A strong ML engineer AND software engineer

• Comfortable building AI systems end-to-end

• Experienced in deploying models to production

• Passionate about next-generation AI architectures

We value builders who ship real systems, not just research prototypes.

Education

Bachelor’s / Master’s in:

Computer Science

Artificial Intelligence

Machine Learning

Data Science

or related field.

Why Join Ampera

At Ampera, we are building AI-native enterprise platforms that transform how organizations use data and intelligence.

Engineers at Ampera work on:

• real-world enterprise AI systems

• cutting-edge GenAI and agentic architectures

• global enterprise clients across industries

• high-impact AI platforms that scale.

What Makes This Role Unique

You will help build the next generation of enterprise AI systems — where AI moves beyond prediction and becomes an autonomous decision-making layer for organizations.

About Ampera:

Ampera Technologies, a purpose driven Digital IT Services with primary focus on supporting our client with their Data, AI / ML, Accessibility and other Digital IT needs. We also ensure that equal opportunities are provided to Persons with Disabilities Talent. Ampera Technologies has its Global Headquarters in Chicago, USA and its Global Delivery Center is based out of Chennai, India. We are actively expanding our Tech Delivery team in Chennai and across India. We offer exciting benefits for our teams, such as 1) Hybrid and Remote work options available, 2) Opportunity to work directly with our Global Enterprise Clients, 3) Opportunity to learn and implement evolving Technologies, 4) Comprehensive healthcare, and 5) Conducive environment for Persons with Disability Talent meeting Physical and Digital Accessibility standards

Accessibility & Inclusion Statement

We are committed to creating an inclusive environment for all employees, including persons with disabilities. Reasonable accommodations will be provided upon request.

Equal Opportunity Employer (EOE) Statement

Ampera Technologies is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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Application Monitoring

Position Description

JD2 – SRE: Digital Channels Application Support

Experience: 6–9 years in Production Application Support / Site Reliability Engineering (Banking/Financial Services)

Work Model: 24x7 rotational shifts, ODC environment (no personal digital devices)

Responsibilities

Act as SRE for Digital Banking, Middleware, and Infra components.

Provide production support for Internet Banking, Mobile Banking, Cards, Payments, Digital Wallets, APIs.

Troubleshoot customer authentication flows (SSO, OAuth, 2FA, session management).

Lead and drive P1/P2 bridge calls, coordinating with app, infra, DB, and network teams.

Support API-driven integrations with third-party fintech/payment partners.

Perform proactive monitoring, certificate renewals, and infra health checks.

Enhance observability (Dynatrace, Logscale, Splunk, Grafana, Bigpanda, ThousandEyes).

Propose and implement automation solutions (Jenkins, Ansible AWX, Python, Shell) to reduce manual work.

Support release and deployment readiness for digital channels in ODC environment.

Conduct RCA for major incidents and recommend resilience & scalability improvements.

Monitor SLIs/SLOs for digital user experience (latency, availability, throughput).

Ensure security & compliance for API and digital banking platforms (SSL/TLS, PCI, fraud monitoring).

Partner with client stakeholders to maintain operational stability and high availability.

Collaborate with business stakeholders on banking-critical issues and ensure compliance with SLAs and regulatory standards.

Participate in DR drills, HA testing, and compliance audits.

Core Technologies (L2 / Deep Knowledge)

OpenShift (Kubernetes), Linux/Unix/Windows, Database, Networking, Middleware.

Common Tools (L1.5 – Awareness for All)

Bigpanda, Grafana, ThousandEyes, Splunk, ServiceNow, Jira, Confluence, Netcool, Siren, Glassbox.

Must Have Skills

Strong experience in Digital Banking & Middleware application support.

Hands-on experience with Internet/Mobile banking platforms, card services, and payment gateways.

Infra knowledge (servers, certificates, OS, networking).

Strong observability and monitoring (Dynatrace, Logscale, Splunk).

Incident management & RCA leadership, especially in client-facing bridge calls.

Strong Knowledge of ITIL processes (Incident, Problem, Change, Major Incident Management).

Awareness of banking compliance standards (PCI-DSS, SOX, InfoSec policies).

Ability to work under strict SLAs and regulatory environments.

Nice to Have

Kafka, VFaas, F5/Datapower, Akamai Control Center.

Salesforce (Apex), Pega, SharePoint.

Java, Node.js, JavaScript, Python, C#.

ETL, Hadoop, Teradata, Bigdata.

Evolven, Ansible AWX, CI/CD and automation (Jenkins, Ansible).

Content Strategist / B2B Content Marketer

EXPERIENCE : 3 - 5 Years

As we expand our marketing efforts, we’re looking for a Content Strategist / B2B Content Marketer who can translate complex ideas into powerful stories that resonate with our ideal customer profile and fuel our demand generation efforts.

Role Summary:

We are looking for a strategic content marketer who can craft high-value content that is aligned with our ICP and demand generation goals. You will own the planning, development, and optimization of thought leadership content that drives awareness, engagement, and leads.

Roles & Responsibilities:

●      Research, write, and optimize blogs, eBooks, whitepapers, reports, and other long-form content.

●      Collaborate with SEO & design to ensure content is both discoverable and visually engaging.

●      Develop monthly content calendars aligned with campaigns, ICP, and lead lifecycle.

●      Ghostwrite or support director-level content (LinkedIn posts, interview-style articles, etc.).

●      Contribute to newsletters, landing pages, and social copy as needed.

●      Maintain quality, originality, and consistency across all formats.

Must have skills:

●      3-5 years of experience in B2B content marketing or content strategy.

●      Strong storytelling and writing skills with a portfolio of long-form content and campaign-driven copywriting.

●      Understanding of SEO, content funnels, and ICP-based content planning.

●      Comfortable collaborating with designers and subject matter experts.

●      Self-starter with a proactive mindset and the ability to work in a fast-paced, high-growth environment.

Good to have skills:

●      Experience in IT services or SaaS domain.

Brief write up on how you could be a great fit for the role :

What your days and weeks will include.

• Agile scrum meetings, as appropriate, to track and drive individual and team accountability.
• Ad hoc collaboration sessions to define and adopt standards and best practices.
• A weekly ½ hour team huddle to discuss initiatives across the entire team.
• A weekly ½ hour team training session focused on comprehension of our team delivery model
• Conduct technical troubleshooting, maintenance, and operational support for production code
• Code! Test! Code! Test!

The skills that make you a great fit.

• Minimum of 5 years to 10 Years of experience as Eagle Investment Accounting (BNY Mellon product) as a Domain expert/QA Tester.
• Expert level of knowledge in ‘Capital Markets’ or ‘Investment of financial services.
• Must be self-aware, resilient, possess strong communications skills, and can lead.
• Strong experience release testing in an agile model
• Strong experience preparing test plans, test cases, and test summary reports.
• Strong experience in execution of smoke and regression test cases
• Strong experience utilizing and managing large and complex data sets.
• Experience with SQL Server and Oracle desired
• Good to Have knowledge on DevOps delivery model including roles and technologies desired

The ideal candidate must have -

• At least 2 years of practical experience in defining, developing, maintaining and executing test cases
• Prior experience dealing with full product development lifecycles and multiple releases
• Experience of working with Web, Mobile, and API Testing
• Basic understanding of good programming practices, architecture and design patterns
• Knowledge of Performance & Security Testing
• Solid analytical & problem-solving skills and experience of working in Agile process management methodology
• Should be excellent at communication, be able to explain ideas clearly.
• Must be extremely proactive and self-starter.
• Good knowledge of test automation tools like PyTest, Mocha, Cypress or comparable is a big plus.

• Team Name - SDET
• Skills and Stacks - Java, Spring boot, Mysql, AWS stack, HTTP/GRPC
• Project 1 line description -Will be required the folks to close the P0 E2E automation