Digital Marketing intern

Description: 

The role of the Service Engineer is to provide professional after sales service and support customers by performing field service installation, startup, repairs and maintenance of high-speed Packaging Machines. The Service Engineer will work within the guidelines, established by the Director of Service & Manufacturing and will follow the established procedures

Essential Functions:

 Build customer relationship in a professional manner through solution-oriented communications and service, providing both on-site and telephone support.

• Responsible for installation expertise, calibrating, configuring, testing, maintaining, evaluating and troubleshooting, pre-commissioning, commissioning and repair as necessary to associated equipment.

• Must be self-motivated with ability to work & think well independently.

• Perform scheduled and un-scheduled maintenance of equipment and associated equipment.

• Provide installation expertise at customer sites as well as conducting pre-installation assistance.

• Read and review blueprints, plans, specifications and other documentation to prepare for startup, service or troubleshooting any breakdowns.

• Responsible for on-site training of customer personnel and inbound technicians on proper operation and maintenance of their equipment’s

• Work with engineering, project management, spare parts and management groups to resolve escalated problems.

• Provide written service & expense reports to Service Manager on all activities carried out on site and complete all required documentation in a timely manner.

• Properly document, label, and return all defective parts resulting from repair.

• Make technical recommendations to Technician’s, Operators and Artisans.

• Work closely with the Service Team & Service coordinator to ensure site work is carried out in the required order, for completion by the required timeline.

• Comply with all safety policies, practices and procedures at all times. Develop and maintain safe habits and practices with regard to safety requirements on site and in the manufacturing facility and report any breaches or concerns on health and safety matters to the Service Manager or HR Dept.

• Ensure all materials, tools and equipment provided to you, are kept safe, and secure. Ensure all are calibrated in good working order to requirements.

• Assist in manufacturing or engineering with customer projects, as well as unit refurbishment at the customer site or the manufacturing facility.

• Assist the spare parts department with recommended spare parts and wear parts to existing and new customers.

• Provide technical support to other Field Service Engineer / Technician on the field or in-house

• Overtime may be necessary as work load dictates. This may include weekdays or weekends.

• Must be able to use a computer for creation of reports and data entry required.

• Must be able to use a smartphone and any related applications required for the job or timekeeping.

• Must maintain clean and professional appearance while working with customers, vendors and colleagues.

• Accept other responsibilities as requested or required by the Service Manager or the Company as needed.

• Must participate in training opportunities as determined by the Company.

Required qualifications and skills:

• A Bachelor's degree / Diploma.

• 3+ Years in Service Engineering experience of Packaging Equipment in Pharma Industry.

• Preference: Blister Packaging, Cartoning, Filling Line and Conveyors.

• Able to complete projects in a timely manner

• Excellent computer literacy is must and knowledge of visualization would be preferred.

• The ability to work with multiple discipline projects.

• Excellent organizational, time management, leadership, and decision-making skills.

• Strong written and verbal communication skills.

About Sentiaflow

Sentiaflow is an AI engineering and IT services company building production-grade agentic AI systems, sitting at the intersection of LLMs and real business operations — data, APIs, permissions, workflow state, human decisions, security, and measurable outcomes. Our initial domain focus is healthcare, particularly clinical trials, where reliability, traceability, and clear human-decision boundaries matter more than a slick demo.

Job Description

As a Level 1 engineer, you'll implement bounded parts of a production agentic workflow under an Agent Captain or senior engineer, connecting models to application services, tools, data sources, and human approval points.

You will:

• Translate a scoped business workflow into typed inputs, outputs, states, actions, and escalation paths
• Build backend services and tool integrations (Node.js/TypeScript or Python)
• Use LLMs only where model judgment adds value; keep rules, validation, authorization, and workflow control in deterministic code
• Design and validate structured model outputs before they touch downstream systems
• Handle partial data, tool failures, duplicate events, retries, timeouts, rate limits
• Add logging, traces, metrics, and decision records for diagnosability
• Write tests and evaluation cases that check whether the full workflow behaves correctly — not just whether output sounds fluent
• Protect sensitive data; participate in code, design, and release-readiness reviews
• Explain implementation trade-offs clearly to engineers and stakeholders

Success in 6 months: own a bounded workflow module end-to-end, integrate models without letting probabilistic output bypass deterministic controls, produce release-ready evaluation evidence, and diagnose cross-boundary failures with less supervision.

Desired Skills

• Approximately 3–6 years hands-on backend/application engineering experience, with demonstrable hands-on work building agentic systems — not just calling an LLM API from a backend service
• LangGraph (or comparable agent orchestration framework) experience is required — building multi-step, stateful agent workflows with conditional branching, tool-calling loops, and recovery/retry logic, not a single-prompt wrapper
• Deep RAG experience, including:
• Chunking strategy design, embedding model selection, and retrieval evaluation (not just "connected a vector DB")
• Hybrid search (dense + sparse/keyword), re-ranking, and query rewriting/decomposition
• Handling retrieval failure modes: irrelevant context, stale data, contradictory sources, citation/grounding accuracy
• Measuring RAG quality (precision/recall on retrieval, faithfulness/groundedness of generation) — not eyeballing outputs
• Experience designing agent state machines / workflow graphs: tool selection, planning loops, human-in-the-loop interrupts, checkpointing, and state persistence across long-running workflows
• Strong programming in JS/TypeScript (preferred), Python, Java, C#, or Go
• Solid grasp of API design, databases, async processing, auth, testing, deployment
• Comfort reasoning about state, retries, idempotency, concurrency, permissions, audit trails, failure recovery
• Real production debugging experience, not just greenfield builds
• Clear technical communication

We're looking for engineers who've actually built and tuned agentic/RAG systems in production — not those who've only wired together frameworks or prompted an LLM API.

Nice to have: experience with other orchestration frameworks (CrewAI, AutoGen, custom state machines), observability/eval tooling (LangSmith, Langfuse, custom trace pipelines), healthcare or regulated-industry background. Bachelors from IIT or NIT highly preferred.

Role Overview:

We are looking for a skilled Data Scientist with expertise in data analytics, machine learning, and AI to join our team. The ideal candidate will have a strong command of data tools, programming, and knowledge of LLMs and Generative AI, contributing to the growth and automation of our business processes.

Key Responsibilities:

1. Data Analysis & Visualization:

• Develop and manage data pipelines, ensuring data accuracy and integrity.
• Design and implement insightful dashboards using Power BI to help stakeholders make data-driven decisions.
• Extract and analyze complex data sets using SQL to generate actionable insights

2 Machine Learning & AI Models:

• Build and deploy machine learning models to optimize key business functions like discount management, lead qualification, and process automation.
• Apply Natural Language Processing (NLP) techniques for text extraction, analysis, and classification from customer documents.
• Implement and fine-tune Generative AI models and large language models (LLMs) for various business applications, including prompt engineering for automation tasks.

3 Automation & Innovation:

• Use AI to streamline document verification, data extraction, and customer interaction processes.
• Innovate and automate manual processes, creating AI-driven solutions for internal teams and customer-facing systems.
• Stay abreast of the latest advancements in machine learning, NLP, and generative AI, applying them to real-world business challenges.

Qualifications:

• Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, or related field.
• 4-7 years of experience as a Data Scientist, with proficiency in Python, SQL, Power BI, and Excel.
• Expertise in building machine learning models and utilizing NLP techniques for text processing and automation.
• Experience in working with large language models (LLMs) and generative AI to create efficient and scalable solutions.
• Strong problem-solving skills, with the ability to work independently and in teams.
• Excellent communication skills, with the ability to present complex data in a simple, actionable way to non-technical stakeholders.

If you’re excited about leveraging data and AI to solve real-world problems, we’d love to have you on our team!

We are looking for an ambitious and energetic Business Development /Enterprise Sales person to help us expand our clientele. You will be the front of the company and will have the dedication to create and apply an effective sales strategy.

The goal is to drive sustainable financial growth through boosting sales and forging strong relationships with clients.

• Develop a growth strategy focused both on financial gain and customer satisfaction
• Conduct research to identify new markets and customer needs
• Arrange business meetings with prospective clients
• Promote the company’s products/services addressing or predicting clients’ objectives
• Prepare sales contracts ensuring adherence to law-established rules and guidelines
• Keep records of sales, revenue, invoices etc.
• Provide trustworthy feedback and after-sales support
• Build long-term relationships with new and existing customers

• Proven working experience as a business development manager, sales executive or a relevant role
• Proven sales track record
• Experience in customer support is a plus
• Proficiency in MS Office and CRM software (e.g. Salesforce)
• Proficiency in English
• Market knowledge
• Communication and negotiation skills
• Ability to build rapport
• Time management and planning skills

Strong Application Security / Penetration Testing Profiles

Mandatory (Experience 1):Must have 3+ years of total experience in Penetration Testing / Vulnerability Assessment with hands-on experience across web applications, mobile apps, and APIs, especially in transaction-intensive platforms.

Mandatory (Experience 2):Must have strong hands-on experience in business logic testing and fraud simulation, including scenarios such as bid manipulation, price tampering, replay attacks, fake approvals, and maker-checker bypass.

Mandatory (Skills 1): Proficiency in advanced security testing tools such as Burp Suite, OWASP ZAP, Kali Linux, Metasploit, and ability to perform custom attack scripting.

Mandatory (Skills 2): Strong expertise in authentication, session/token security, API penetration, input manipulation, and fraud simulation, with the ability to highlight the business impact of each exploit (financial loss, unfair deal awards, reputational risk)

Mandatory (Education): Bachelor’s in Engineering/IT (B.Tech/BE) or MCA.

Mandatory (Certification): At least one advanced security credential: OSCP, OSWE, CEH Practical, or CREST.

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🎓 A 3-month HR Internship

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💼 A pathway to a full-time role based on your performance

Note:stipend will be provided 7k to 15k. This internship is ideal for those who want to learn, grow, and be part of real recruitment challenges.

Udrive is the largest car sharing platform in the Middle East. We pioneered the concept in the region and have continued to provide the best experience amongst our peers. We are in rapid expansion and are looking for a bright, successful and determined individual who has the experience to take the companies vision forwards into the next 5 years.

Our next 5 years journey not only includes regional and global aspirations; we are building the next generation of mobility services to change the way people use vehicles

We are looking for a React Native Engineer for our Mobile App. The Mobile App team is responsible for the mobile app used by our B2C users to register as well as complete their journey with Udrive cars initiation to end.

Your responsibilities:

You will be part of our new mobile team which is part of our customer journey domain and you will work together with a cross-functional team

You strive to offer the best possible experience for our customers on mobile devices

You contribute to the implementation of business requirements as well as to architectural decisions

You ensure that your code is well tested, architected, meets our coding standards, and has proper logging, monitoring, and alerting

Your goal is to provide always-accessible information in the most convenient way, to have better engagement and an overall outstanding user experience

Your profile:

You have experience building high-performance mobile React Native applications on both iOS and Android platforms

Ability to translate Figma based designs to mobile interactions with pixel perfections

You show excellent knowledge of JavaScript and its nuances, including TypeScript.

You have experience with building real-time analytics solutions and streaming platforms

You are familiar with native build tools, like XCode, Gradle and store submission processes

It is great if you have an understanding of REST APIs, the document request model, and offline storage

The most important one: Willingness to learn. We are constantly learning new things and we enjoy it a lot. We don't expect to find people experienced in all of them. If you are excited about our tech-stack and you think you are a fast learner, do not hesitate to apply!