11+ Amazon Glacier Jobs in India

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.

"What’s the fun, if we cannot be the Jerry to your Tom, or the Jai to your Veeru?

In short, we mean to say that we are looking for a Content Creator to create head-turning content at Moshi Moshi."

About Us:

We are not just an AD agency or a creative agency, we are a Communication Company. Founded in 2014, Moshi Moshi is a young, creative, gutsy, and committed communication company that wants its

clients to always Expect the EXTRA from it. Our primary clientele consists of Startups and Corporations like Ola, Zoomcar, Mercedes Benz, ITC, Aditya Birla Group, TATA Group, MTV, IHCL, Jaquar, Sobha, Simple Energy, and Godrej amongst others. We have a huge team of creative folks, marketers, learners, developers, and coders who believe Moshi Moshi is an experience rather than a company.

Job Role: Social Media Content Creator - Lead

Experience Level: 3+ years

Location: Bangalore, Onsite

Job Overview:

As a Social Media Content Creator, you will play a crucial role in crafting and curating content that resonates with our clients' target audiences. You will collaborate with the marketing team to develop and

implement creative strategies, ensuring that all content aligns with the brand’s voice and objectives. You will be responsible for creating engaging content across various social media platforms to enhance our

clients' brand presence and drive engagement.

Roles and Responsibilities:

● Develop engaging, creative, and innovative content for regularly scheduled posts, which enlighten audiences and promote brand-focused messages.

● Curate, script, and act in engaging social media content, ensuring it is timely and relevant.

● Work closely with the creative team, clients, and other stakeholders to ensure content meets objectives and brand guidelines.

● Monitor social media trends, tools, and applications, and apply best practices to enhance content performance.

● Continuously explore new content formats and creative approaches to stay ahead in the digital landscape.

● Anticipate trends and plan content accordingly to ensure early and impactful delivery.

Roles Requirements:

● Proven experience as a social media content creator, preferably within an advertising agency or similar environment.

● Strong scripting, acting, and basic video editing skills.

● A creative mindset with the ability to generate innovative and engaging content ideas.

● Highly proactive with a sense of urgency and the ability to deliver content quickly.

● Ability to adapt to changing trends and client needs.

Strong Behavioral Data Analyst Profiles

Mandatory (Experience 1): Minimum 4+ years of experience in user analytics or behavioural data analysis, focusing on user app and web journeys

Mandatory (Experience 2): Experience in analyzing clickstream and behavioral data using tools such as Google Analytics, Mixpanel, CleverTap, or Firebase

Mandatory (Skills 1): Hands-on experience in A/B testing, including hypothesis design, experimentation, and result interpretation.

Mandatory (Skills 2): Strong analytical ability to identify behavioral patterns, anomalies, funnel drop-offs, and engagement trends from large datasets.

Mandatory (Skills 3): Hands-on proficiency in SQL, Excel, and data visualization tools such as Tableau or Power BI for dashboard creation and data storytelling.

Mandatory (Skills 4): Basic understanding of UX principles and customer journey mapping, collaborating effectively with UX/CX teams

Mandatory (Company): B2C product Companies (fintech, or e-commerce organizations with large user behavior dataset is a plus)

Mandatory (Note): Don't want data analysis but business/product/user analysts

Preferred

Preferred (Skills): Ability to create insightful dashboards and reports highlighting user engagement metrics, sentiment trends, and improvement opportunities

Job Title: SAP Business Development Manager

Overview

The SAP Business Development Manager is responsible for driving business growth by identifying new opportunities, expanding customer relationships, and promoting SAP solutions and services. This role requires strong industry insight, SAP product knowledge, and the ability to build strategic partnerships that support revenue goals.

Key Responsibilities

1. Business Development & Sales Growth

• Identify, qualify, and pursue new business opportunities for SAP solutions (S/4HANA, SAP CX, SAP Business Technology Platform, SAP SuccessFactors, SAP Ariba, etc.).
• Develop and execute business development strategies for assigned territories or verticals.
• Have good experience in cross sell and up sell from the existing SAP customer
• Have good experience T&M and AMS support Sales
• Drive the full sales cycle—from lead generation to deal closure.
• Achieve quarterly and annual revenue targets.

2. Client Engagement

• Build and maintain strong relationships with C-level executives, decision-makers, and influencers.
• Conduct discovery meetings to understand client challenges and business goals.
• Present SAP solution portfolios and value propositions tailored to client needs.
• Oversee proposal creation, RFP responses, and contract negotiations.

3. Strategic Planning & Market Intelligence

• Analyze market trends, competitor activities, and customer needs.
• Work with leadership to define go-to-market strategies.
• Identify opportunities for cross-selling and upselling SAP services.

4. Collaboration & Coordination

• Work closely with SAP pre-sales teams, solution architects, and delivery teams to build compelling solutions.
• Engage with SAP Sales team for leads
• Coordinate with marketing teams on campaigns, events, and lead-generation activities.
• Ensure smooth handover to project teams after deal closure.

5. Account Management

• Manage key accounts and develop long-term relationships.
• Monitor client satisfaction and identify areas to expand engagement.
• Act as a strategic advisor to clients regarding SAP roadmap and digital transformation.

Qualifications

Required

• MBA, BTech or related field.
• Min 3 Years SAP solution sales and 3-5 years of experience in Business development.
• Strong understanding of SAP products, modules, and services.
• Knowledge of SAP licensing, cloud offerings, and implementation methodologies.
• Proven track record of achieving sales targets in enterprise or consulting environments.
• Excellent communication, negotiation, and presentation skills.

Preferred

• Experience working with SAP partner Man or within the SAP ecosystem.
• Experience in middle east market (Saudi, Dubai, Qatar, Kuwait, Oman)
• MBA or advanced degree.
• Certifications in SAP or sales methodologies (e.g., Solution Selling, Miller Heiman).

Role Type

• Full-time
• Department: Business Development / Sales
• Location: Remote, India
• Travel: As required for client meetings or events

Qrata is a talent startup that partners with fast moving digital companies globally to scale their teams. Since 2016, we have served over 100 funded startups ( top brands, some unicorns too!) hire teams in the spaces of engineering, growth, design and product. Our mission is to be the top curated talent marketplace while fostering a collaborative, diverse, and inclusive workplace.

About the role: Qrata is looking to hire a recruiter who should be an experienced, motivated that can help source and hire for top funded companies globally. Ideal candidate is a high- energy, strong communicator with a knack for engaging experienced professionals.

Responsibilities:

• Responsible for End to End Recruitment (Sourcing, screening of profiles, scheduling of interviews).

• Responsible for understanding and analyzing the requirements in different technical

skill set categories.

• Creative sourcing methods like Linked-In, internal database, referrals, head-hunting,

networking.

• Take steps to ensure positive candidate experience

• Willing to take challenges in Recruitment & closing the demands on time.

Candidate requirements:

• The ideal candidate should have zeal to grow in technical Recruitment world.

• Must have IT recruitment/Non IT hiring experience and expertise in Screening,

shortlisting, negotiation and coordinating with the Recruitment process.

• Experience in working on Job Portals is mandatory

• Experience in full-cycle Recruiting, Sourcing

• Proficient in the use of social media and job boards

• Aggressive and talented professionals with excellent communication skills.

• Well-organized & capable of managing Quality and Volumes of open positions

A Delhi NCR based Applied AI & Consumer Tech company tackling one of the largest unsolved consumer internet problems of our time. We are a motley crew of smart, passionate and nice people who believe you can build a high performing company with a culture of respect aka a sports team with a heart aka a caring meritocracy.

Our illustrious angels include unicorn founders, serial entrepreneurs with exits, tech & consumer industry stalwarts and investment professionals/bankers.

We are hiring for our founding team (in Delhi NCR only, no remote) that will take the product from prototype to a landing! Opportunity for disproportionate non-linear impact, learning and wealth creation in a classic 0-1 with a Silicon Valley caliber founding team.

Key Responsibilities:

1.   Data Strategy and Vision:

·       Develop and drive the company's data analytics strategy, aligning it with overall business goals.

·       Define the vision for data analytics, outlining clear objectives and key results (OKRs) to measure success.

2.   Data Analysis and Interpretation:

·       Oversee the analysis of complex datasets to extract valuable insights, trends, and patterns.

·       Utilize statistical methods and data visualization techniques to present findings in a clear and compelling manner to both technical and non-technical stakeholders.

3.   Data Infrastructure and Tools:

·       Evaluate, select, and implement advanced analytics tools and platforms to enhance data processing and analysis capabilities.

·       Collaborate with IT teams to ensure a robust and scalable data infrastructure, including data storage, retrieval, and security protocols.

4.   Collaboration and Stakeholder Management:

·       Collaborate cross-functionally with teams such as marketing, sales, and product development to identify opportunities for data-driven optimizations.

·       Act as a liaison between technical and non-technical teams, ensuring effective communication of data insights and recommendations.

5.   Performance Measurement:

·       Establish key performance indicators (KPIs) and metrics to measure the impact of data analytics initiatives on business outcomes.

·       Continuously assess and improve the accuracy and relevance of analytical models and methodologies.

Qualifications:

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field.
• Proven experience (5+ years) in data analytics, with a focus on leading analytics teams and driving strategic initiatives.
• Proficiency in data analysis tools such as Python, R, SQL, and advanced knowledge of data visualization tools.
• Strong understanding of statistical methods, machine learning algorithms, and predictive modelling techniques.
• Excellent communication skills, both written and verbal, to effectively convey complex findings to diverse audie