SEO Executive

We are hiring for a Senior Data Scientist II

Location: Bengaluru, India | Work Style: Hybrid (2 days/week in office) | Experience: 8+ years

About the Role:

We're on a journey to put AI at the center of how strategic decisions are made, and we're looking for a Senior Data Scientist to help lead the way.

You'll work on real, in-production AI experiences like Planview Anvi, used by enterprises to turn complex portfolios of work into clear, confident action. You'll join a team thinking years ahead about where AI and enterprise work are going, with the ownership to turn that vision into products customers rely on every day.

What You'll Work On:

• Natural language interaction — building systems that let users simply ask, and get instant, trustworthy insights
• Proactive intelligence — developing models that surface risks and opportunities before they surface themselves
• Adaptive decisioning — helping teams adjust course in real time as conditions change

Why This Role:

Most data science roles are about building models. This one is about building the intelligence layer that an entire category of enterprise software is being rebuilt around.

At Planview, we help the world's largest organizations plan and deliver their most important work, and we're in the middle of a multi-year push to put AI at the core of how those decisions get made.

As a Senior Data Scientist based in Bengaluru, you'll be hands-on shaping AI experiences already in production and used by real enterprises — like Planview Anvi — while helping define what comes next.

• Real users, real scale: your work ships to enterprise customers managing billions of dollars of work — not a demo, not a backlog experiment
• Frontier problems: natural-language interfaces over messy enterprise data, models that flag risk before humans see it, and systems that adapt plans as reality shifts
• Ownership, not hand-offs: you'll influence direction, not just execute tickets — senior enough to shape the roadmap, close enough to the product to see your work land
• A team playing the long game: we're building for where enterprise AI is going over the next several years, and want someone who wants to help steer that

Responsibilities:

• Enable Data Science features within Planview applications, working in a fast-paced startup mindset
• Collaborate closely with product management to enable Data Science features that deliver significant value to customers, ensuring these features are also optimized for operational efficiency
• Manage every stage of the AI/ML development lifecycle, from initial concept through deployment in a production environment
• Design and implement optimization models (e.g., resource-constrained scheduling, portfolio/project selection, simulation-based decision support) to solve complex planning and allocation problems at enterprise scale
• Contribute to agentic AI features — forecasting, risk-scoring, and recommendation models that power AI agents embedded in Planview products
• Provide leadership to other Data Scientists by exemplifying exceptional quality in work, nurturing a culture of continuous learning, and offering daily guidance in their research endeavors
• Effectively communicate ideas drawn from complex data with clarity and insight

Required Qualifications:

• Master’s degree in operations research, Statistics, Computer Science, Data Science, or a related field
• 8+ years of experience as a data scientist, data engineer, or ML engineer
• Demonstrable history bringing Data Science features to enterprise applications
• Exceptional Python and SQL coding skills — production-grade, not notebook-only
• Strong grounding in optimization (linear/integer programming, simulated annealing, heuristics, or similar) alongside Machine Learning, Generative AI, NLP, Statistics, and Simulation
• Experience with AWS Data and ML technologies (SageMaker, Glue, Athena, Redshift)
• Experience designing and building tool/service interfaces that other systems (including AI agents) can invoke reliably — API/service contract design, schema definition, and testing discipline
• Working understanding of agentic AI system architecture — how agents discover and call tools, how actions are scoped and tracked, and how outputs feed back into planning workflows.

Preferred Qualifications

• Experience working with datasets in the domain of project management, software development, and resource planning
• Experience with common data science libraries and frameworks (Scikit-learn, TensorFlow, PyTorch)
• Experience with ML platform tools (AWS SageMaker)
• Hands-on experience with MCP (Model Context Protocol) or similar tool-calling/agent-orchestration standards (e.g., A2A, LangChain tool interfaces)
• Experience with LLM orchestration frameworks (LangChain, LlamaIndex) and vector database experience (Pinecone, Weaviate, OpenSearch)
• Exposure to evaluation frameworks for GenAI features
• Prior experience mentoring or leading data scientists
• Comfortable working as part of a global, diverse workforce of high-performing individuals
• AWS Certification is a plus

Team & Culture:

You'll join a global, distributed Data Science team spanning Bengaluru and Austin. We move fast, ship real AI to real enterprise users, and go all-in on agentic systems — without taking ourselves too seriously. Startup speed, prototype-to-production mindset, and a genuine focus on having fun while we build.

Growth:

This role offers a clear path to grow into a Principal Data Scientist as you take on greater scope and impact.

Interview Process:



Our process typically includes an initial conversation to assess fit, a technical assessment, one or more in-depth technical/case discussions, and final conversations with cross-functional stakeholders. 

Job description

LXL Ideas transforms education through innovative programs and events. We are looking for an Inside Sales Manager to drive sales of subscriptions and memberships to schools and promote participation in our educational events.

Role Overview:

The ideal candidate will be responsible for lead generation and building a pipeline of high-quality prospects. As a manager, you will oversee the inside sales team and act as a strategic partner, focusing on long-term sales strategies.

Key Goals:

• Achieve Sales Targets: Meet or exceed sales quotas and targets set by the company, often measured in terms of revenue, number of deals closed, or new business acquired.
• Generate Leads: Identify and qualify potential business clients through various methods such as cold calling, email campaigns, and social media outreach.
• Build and Maintain Relationships: Develop strong relationships with key decision-makers within client organizations to facilitate long-term business partnerships and repeat sales.
• in: Implement strategies to ensure high levels of customer satisfaction and loyalty, aiming to reduce churn and increase upsell opportunities.
• Expand Market Share: Identify and penetrate new market segments or geographic areas to broaden the company’s customer base.

Responsibilities:

• Lead Generation: Research and identify potential leads, conduct outreach to prospects, and create opportunities for initial contact and engagement.
• Sales Presentations: Conduct virtual or in-person presentations and demonstrations of products or services to potential clients, highlighting the value and benefits relevant to their needs.
• Proposal Development: Prepare and deliver tailored proposals, including pricing and contract terms, that address the specific requirements of each client.
• Negotiation and Closing: Negotiate terms and conditions of sales agreements, handle objections, and close deals to achieve sales targets.
• CRM Management: Use Customer Relationship Management (CRM) software to track interactions, manage the sales pipeline, and maintain accurate records of client communications and progress.
• Market Research: Stay informed about industry trends, competitor activities, and market conditions to effectively position the company’s products or services.
• Collaboration: Work closely with marketing, customer service, and product teams to ensure alignment in messaging, support, and delivery of client solutions.
• Reporting: Provide regular updates and reports on sales activities, pipeline status, and performance metrics to management.
• Customer Service: Address and resolve any issues or concerns from clients promptly and professionally to ensure a positive experience and ongoing relationship.
• Training and Development: Continuously improve sales skills and product knowledge through training, workshops, and self-study to stay competitive and effective in the role.

Qualifications:

• Bachelor’s degree or equivalent experience.
• 2-3 years of relevant management experience.
• Excellent communication skills.
• Strong team player.
• Self-starter with a proactive approach.

An Inside Sales Executive in a B2B environment needs to be highly motivated, persuasive, and skilled in relationship-building to succeed in this dynamic and challenging role.

Key responsibilities:

• Develop features across multiple subsystems within our applications, including collaboration in requirements definition, prototyping, design, coding, testing and deployment
• Understand how our applications operate, are structured, and how customers use them
• Provide engineering support (when necessary) to our technical operations staff when they are building, deploying, configuring and supporting systems for customers
• Participate with the engineering and operations teams to define plans for standardizing, scaling and enhancing our products and the services utilized to deploy/install/release those products
• Participate in interactions with customers as a technical expert for product subsystems
• Investigate, analyze and make recommendations to management regarding technology improvements, upgrades and modifications
• Other duties from time to time as determined by management

What you need to have:

Good understanding of MVC, C#, MS SQL Server, JS, Visual Studio 2017
Experience: Minimum 3 Year.
RoleSoftware Developer
Industry TypeIT-Software, Software Services
Functional AreaIT Software - Application Programming, Maintenance
Employment TypeFull Time, Permanent
Role CategoryProgramming & Design
Education
UG: B.Tech/B.E. in Any Specialization, B.Sc in Any Specialization, BCA in Computers
PG: Any Postgraduate in Any Specialization
Interested candidates Kindly apply

Job Types: Full-time, Contract, Walk-In

Job Types: Full-time, Walk-In

We are Hiring Shopify Developer

Location: Ahmedabad

• Experience: 2 years + (Min 2 year in Shopify)
• Working Days: 6 days in a week

(Work From Home Full time)

Skill:

Building out custom Shopify themes and modifying pre-existing themes depending on the scope of the project.

Shopify theme customization, Shopify Integration and Upgradation, Maintenance and Support, Shopify Setup & Product Impact

• Strong knowledge of liquid programming language
• Generate custom – tailored Shopify theme and altering pre – existing template.
• Act as Shopify expert, specializing in all facets of the ecommerce platform.
• Strong hands to Install & Customize new Shopify theme.
• Clear concept of HTML5, CSS3, javascript/Jquery.
• Knowledge in other ecommerce platform like Magento, woocommerce, BigCommerce will be preferred.
• Strong hands to Install & Customize new Shopify theme.
• Strong hands to Install & Customize new Shopify theme.

Candidates should be Confident, self -motivated, who work well in team environments.

Excellent communication skills required.

• Criteria : BCA / BSc/BE / BTech passouts
• Experience Required : 1 to 2 Years (Freshers Do Not Apply)
• Candidates should be ready to learn (Low-Code .NET based platform)
• Looking for immediate joiners only

1. Experience: 3-5 Years
2. Scripting: PowerShell and either of ( JavaScript, Python)
3. Kubernetes and docker Hands-On   
4. Good to have either (Azure / AWS ) 
5. Any of DB technologies Hands-ON: No SQL - Admin, COSMOS DB, MONGO DB, Maria DBA  
6. Good to have Analytics knowledge