Digital Marketing Analyst

Role: Lead AI Engineer

Exp: 3-6 Years

CTC: 35.00-40.00 LPA

Work Mode :WFH

Mandatory Criteria (Can't be neglected during screening) :

• Need Excellent Communication skills as the company is dealing with US Clients also

• 3+ years in AI development, with experience in multi-agent systems, logistics, or related fields.

• Proven experience in conducting A/B testing and beta testing for AI systems.

• Hands-on experience with CrewAI and LangChain tools.

• Should have hands-on experience working with end-to-end chatbot development, specifically with Agentic and RAG-based chatbots. It is essential that the candidate has been involved in the entire lifecycle of chatbot creation, from design to deployment.

• Should have practical experience with LLM application deployment.

• Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch).

• Experience in setting up monitoring dashboards with tools like Grafana, Tableau, or similar.

• Proficiency with cloud platforms (AWS, Azure, GCP)

• Research industry-related topics (combining online sources, interviews and studies)
• Write clear marketing copy to promote our products/services
• Prepare well-structured drafts using Content Management Systems
• Proofread and edit blog posts before publication
• Submit work to editors for input and approval
• Coordinate with marketing and design teams to illustrate articles
• Conduct simple keyword research and use SEO guidelines to increase web traffic
• Promote content on social media
• Identify customers’ needs and gaps in our content and recommend new topics
• Ensure all-around consistency (style, fonts, images and tone)
• Update website content as needed

Mandatory skills

.net

Aws/Azure

Location Chennai

Development background

Mandatory skills

.net

Aws/Azure

Location Chennai

Development background

Position- Appian Developer

Experience- 8 to 12 years

Location- Onsite

Appian Skills:

Process Modeling and Workflow Automation: Candidates must showcase their understanding of Appian’s Process Modeler and demonstrate the ability to optimize execution paths and manage exceptions.

Data Integration and Management Expertise: This skill ensures that candidates can create secure API integrations and manage external data sources, crucial for maintaining data integrity and connectivity.

Scripting and Expression Rule Development: Evaluates the candidate’s capability to write expressions and scripts that extend application functionality.

Security and Access Control Management: Assess the ability to configure security roles and access permissions, ensuring that applications comply with organizational policies and protect sensitive data.

Appian Deployment and Performance Optimization: Ensures that applications are deployed efficiently and perform optimally. These skills are essential for designing, implementing, and managing scalable and efficient applications using Appian's low-code platform.

Responsibilities:

∙ Should be able to create and take ownership of all user interface copy and messaging across the product.

∙ Ability to ideate, set the tone for content, and drive cohesive product narratives that are easy to read, positive, and engaging.

∙ Content being a key role in the product experience, ensure the text and visuals achieve a perfect balance and harmony.

∙ Enhance and elevate the product experience by ensuring consistency and crispness in the voice and tone of our product.

∙ Collaborate and work closely with all stakeholders.

Requirement / Desired Skills:

• 3-5 yrs. of relevant experience in user-centered product writing for the web and mobile applications.
• Must be proficient in English with exceptional copywriting skills.
• Should connect with the target audience through effective/persuasive writing skills 
• Passion for solving complicated problems and making things simple.
• Excellent communication skills. 
• Attention to detail.
• Knowledge of UX principles, best practices, and how to use data to drive informed user insights.
• A portfolio of relevant work samples showcasing remarkable execution, from process to outcomes.

• ERP Sales experience is must
• Construction ERP is a added value
• Responsible for New Business Development via prospecting, qualifying, selling and closing software product sales in the Enterprise Division.
• Develop and implement strategy sales in the particular region to maximize growth opportunities, strengthen market share and maximum customer retention.
• Attracting new clients by innovating and overseeing the sales process for the business.
• Responsible for enhancing revenue, within existing and new clients, through continuous client engagement
• Set up meetings with potential clients and listen to their wishes and concerns, Improving sales strategy.
• Research and identify new market opportunities.
• Creates and conducts effective presentation and product demos
• Build & Strengthen market intelligence & sales analytics for identification of opportunities, effective client solutioning and deal conversion.
• Consistently meet and exceed sales targets
• Foster a collaborative environment within the organization.
• Identify trends and customer needs, building a short/medium/long-term sales pipeline in accordance with targets
• Prepare and deliver pitches to potential investors.
• Create and conduct proposal and presentation based on clients’ needs and closing of orders
• Be responsible for conduct webinar about our product.
• Provide timely weekly, monthly and quarterly sales reports
• Client Relationship management
• Ability to present and explain ideas to a variety of audiences

Fulfil’s software engineers develop the next-generation technologies that change how millions of customer orders are fulfilled by merchants. Our products need to handle information at massive scale. We're looking for engineers who bring fresh ideas from all areas into our technology.

As a senior software engineer, you will work on our python based ORM and applications that scales to handle millions of transactions every hour. This is mission critical software and your primary focus will be building robust and scalable solutions that are easy to maintain.

In this role, you will be collaborating closely with the rest of the team working on different layers of infrastructure in an international environment. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product are important.

What You’ll Do:

• Own definition and implementation of API interfaces (REST and GraphQL). We take pride in our 100% open API with over 600 endpoints.
• Implement simple solutions to complex business logic that enables our merchants to manage financials, orders and shipments across millions of transactions.
• Build reusable components and packages for future use.
• Translate specs and user stories into reviewable, test covered patches.
• Peer review code and refactor existing code.
• Integrate with our eCommerce partners (Shopify, BigCommerce, Amazon), shipping partners (UPS, USPS, FedEx, DHL) and EDI.
• Manage Kubernetes and Docker based global deployment of our infrastructure.

Requirements We’re Looking for Someone With:

• Experience working with ORMs like SQLAlchemy or Django (2-3 years)
• Experience with SQL and databases (Postgres preferred)
• Experience in developing large server side applications and microservices
• Ability to create high quality code
• Experience with python testing tools (pytest) and test automation
• Familiarity with code versioning tools like GIT
• Strong sense of ownership and leadership quality
• Experienced in the tools of our web stack- Python, Celery, Postgres, Redis, RabbitMQ

Nice to Haves:

• Prior experience at a growth stage Internet/Software company
• Experience with ReactJS, Google Cloud, Heroku
• Cloud deployment and scaling experience*

• Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
• Implement data pipelines, new features, and algorithms that are critical to our production models
• Create scalable strategies to deploy and execute your models
• Write well designed, testable, efficient code
• Identify valuable data sources and automate collection processes.
• Undertake to preprocess of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.

Requirements:

• 2+ years of experience in applied data science or engineering with a focus on machine learning
• Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor, etc)
• strong quantitative and programming skills with a product-driven sensibility