Executive - Pre-sales

Role Overview

We're looking for a highly motivated AI Intern to join our dynamic team. This isn't your average internship; you'll be diving headfirst into the exciting world of Natural Language Processing (NLP) and Large Language Models (LLMs). You will work on real-world projects, contributing directly to our core products by researching, developing, and fine-tuning state-of-the-art language models. If you're passionate about making machines understand and generate human language, this is the perfect role for you!

Skills Needed:

1. Python
2. ML
3. NLP
4. LLM Fine-Tuning
5. Fast API

What You'll Do (Key Responsibilities)

Develop & Implement LLM Models: Assist in building and deploying LLM solutions for tasks like sentiment analysis, text summarization, named entity recognition (NER), and question-answering.

Fine-Tune LLMs: Work hands-on with pre-trained Large Language Models (like Llama, GPT, BERT) and fine-tune them on our custom datasets to enhance performance for specific tasks.

Data Pipeline Management: Be responsible for data preprocessing, cleaning, and augmentation to create high-quality datasets for training and evaluation.

Experiment & Evaluate: Research and experiment with different model architectures and fine-tuning strategies (e.g., LoRA, QLoRA) to optimize for accuracy, speed, and cost.

Collaborate & Document: Work closely with our senior ML engineers and data scientists, actively participating in code reviews and clearly documenting your findings and methodologies.

Must-Have Skills (Qualifications)

Strong Python Proficiency: You live and breathe Python and are comfortable with its data science ecosystem (Pandas, NumPy, Scikit-learn).

Solid ML & NLP Fundamentals: A strong theoretical understanding of machine learning algorithms, deep learning concepts, and core NLP techniques (e.g., tokenization, embeddings, attention mechanisms).

Deep Learning Frameworks: Hands-on experience with either PyTorch or TensorFlow.

Familiarity with LLMs: You understand the basics of transformer architecture and have some exposure to working with or fine-tuning Large Language Models.

Problem-Solving Mindset: An analytical and curious approach to tackling complex challenges.

Educational Background: Currently pursuing or recently graduated with a degree in Computer Science, AI, Data Science, or a related technical field.

Brownie Points For (Preferred Skills)

Experience with the Hugging Face ecosystem (Transformers, Datasets, Tokenizers).

A portfolio of personal or academic projects on GitHub showcasing your AI/ML skills.

Familiarity with vector databases (e.g., Pinecone, ChromaDB).

Job Title         : Sharepoint Architect

Location         : Greater Noida

Duration      6 Months C2H

Note: For Noida five-day WFO

Company Overview: Epik Solutions (https://www.epikso.com/)

Epik Solutions is a global technology company that embraces creativity and diversity, using technology to inspire and implement solutions that meet our customers’ needs.

Capabilities include:

Digital Transformation: We help clients reimagine and capture possibilities while strengthening the performance of their existing digital assets. Our Team brings ideas to life and builds organizations’ capabilities to deliver their best outcomes on an on-going basis.

Workforce Transformation: We partner with companies that are seeking to hone their business strategies and amplify performance. Epik Solutions helps optimize workforce accessibility and capacity to produce real business results

Client Name: Coforge

Description -

·        All 5 days WFO, UK Shift

·        Good end to end SDLC project delivery experience.

·        Strong development experience using Microsoft 365 SharePoint (preferred but not limited) Online/On premises and Power platforms.

·        Able to create features, process documents, use cases, use stories, technical specifications, and mapping documents required on the project.

·        Strong experience in design and development of SharePoint Framework (SPFx) web parts, libraries, and extensions.

·        Able to create features, process documents, use cases, use stories, technical specifications, and mapping documents required on the project.

·        SharePoint migration and customization experience using jQuery.

·        Good knowledge on Power Apps, Power Automate, Canvas, Model driven and Dataverse.

·        Good knowledge of Microsoft and other 3rd party products (e.g., Azure, Jira, Outlook etc.) integration.

Job Description

We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.

What You’ll Do will include (But not limited to):

• Preparing datasets needed to train and validate our machine learning models
• Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
• Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
• Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
• Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
• Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
• Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
• Supporting solutions ranging from rule-bases, classical ML techniques  to the latest deep learning systems.
• Partnering with cross-functional team members to bring large scale data engineering solutions to production
• Communicating your approach and results to a wider audience through presentations

Your Qualifications:

• Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
• Good knowledge of traditional machine learning methods and neural networks
• Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
• Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
• Ability to implement data import, cleansing and transformation functions at scale
• Fluency in Docker, Kubernetes
• Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
• Solid English skills to effectively communicate with other team members

Due to the nature of the role, it would be nice if you have also:

• Experience with large datasets and distributed computing, especially with the Google Cloud Platform
• Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
• Experience with No–SQL and Graph databases
• Experience working in a Colab, Jupyter, or Python notebook environment
• Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
• Knowledge of Java, Scala or Go-Lang programming languages
• Familiarity with KubeFlow
• Experience with transformers, for example the Hugging Face libraries
• Experience with OpenCV

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

#LI-Remote

    Requirement analysis

·         Acquisition support (Technical analysis)

·         Automotive ECU software development

·         Diagnostic (UDS) function development

·         Software testing

·         Technical collaboration with internal/external development parties

Greetings from the day!!

We are HIRING: Customer Support Executive(Voice Inbound Process)

No vacancy : 100+ (Work From office)

Job Role : Customer Support Executive

Work Location : Begumpet/Ameerpet

Language : Telugu/English/Hindi 

Salaries : - 12K - 18K

Qualification : Graduation

Eligibility : Fresher/Experienced

Job brief :-

- Handle Inbound/Outbound calls

- Identify the needs of customers, resolve issues, and provide solutions

- Maintain good customer relations

- Attend mandatory training sessions to stay updated on product or company policy changes

- Input data into the company computer platform to keep each customer record updated

Working at Bottom Funnel Technologies Pvt Ltd

Develop faster - with our commitment to the best professional development.

Perform better - as part of a high-performance, empowering culture.

Shape an industry - with a market leader that continues to drive innovation.

Make a difference -by helping improve oral health worldwide.

Position

Reporting to the Director, Global Digital Marketing, the Digital Marketing Manager is responsible for the development and adoption of digital marketing strategies and campaign execution to promote demand generation across the business in assigned markets. The successful candidate will work with key business partners to deploy a consistent operating model across the business and manage the omni-channel deployment of digital marketing initiatives. The ideal candidate will handle communications on status of ongoing initiatives and develop analysis of opportunities in the digital space and own the digital marketing strategy and overall results of the program.

The successful candidate will have a strong background and understanding of not only of digital marketing, but all facets of digital business including analytics, site optimization, and the evolving interactive marketing landscape. Strong working knowledge around digital marketing channels and strategic development of local and global plans is a key component to success in this role.

The Digital Marketing Manager will be responsible for building a culture of quality and performance within the team and to develop data-driven, customer-centric and innovative marketing strategies.

Key Responsibilities

Develop and drive multi-channel digital marketing planning and strategy across the business

• Function as single point of contact for assigned markets to align their strategies to execution on digital channels
• Work’s cross-functionally with stakeholders in the development of strategic digital marketing plans, content and campaigns; drives collaboration on execution, building insights and optimizations with local market execution
• Owns adoption of Digital Marketing Programs and Playbook; works cross-functionally with internal and external partners to ensure adherence and consistency across execution guidelines are met.
• Collaborates with Corporate Marketing, Site Operations, Customer Analytics, and Commercial team partners in the execution of strategic, omni-channel digital marketing campaigns.
• Measures and analyzes performance of all digital campaigns and assess against goals (ROI and KPIs); adjust and execute changes to strategy based on results.
• Develop regular incrementality testing strategies to ensure highly optimized and valuable programs
• Work closely with key stakeholders within the Global Digital Marketing team to drive collaboration and alignment on planning, operations and reporting for all digital marketing initiatives.

The Ideal Candidate Will Have

Key Qualifications and Experience

• Bachelor’s degree in marketing, communication or related field
• At least 3 to 8 years of experience driving digital marketing programs, execution, and analysis preferably for fast paced industries (healthcare, finance, retail, manufacturing)
• Strong experience in driving B2B and/or B2C demand generation.
• Solid understanding of ecommerce and digital channels (digital advertising, email, social media and web operations)
• Strong communication skills: ability to lead high-level strategic planning sessions and deliver key findings and results to a broad audience
• Experience in supporting global markets a plus
• Experience in working within complex matrixed organizations with multiple stakeholders and dotted lines of responsibility.
• Previous experience with marketing planning tools, a plus.

Requirements

In addition to relevant industry background and functional skills, the key competencies of the ideal candidate include:

• Strong analytical skills and data-driven strategy development
• Strong project management experience and organizational skills; ability to handle multiple projects/campaigns simultaneously.
• Results orientation
• Cross-industry subject expertise
• Curiosity and ability to learn
• Plan and execute social media campaigns on all social platforms, Good knowledge of Search engine Optimization, Google Ads, PPC, and other ad campaign tools, Plan strategies for Digital marketing, Find and target audiences, Content creation skills
  Excellent communication and organizational skills, KPI Management.
• Must Knowledge of these tools SEMrush, Moz, Ahrefs, Mailchimp, sendinblue, Hubspot
• Excellent communication skills and presentable

Job Description:

• The Role Requires the Person to hunt and open new accounts for the Company’s SW and platform  Solution offerings, Land & Expand, and Manage Existing Accounts and Relationships to grow business & Increase share of wallet with a clear focus on high Client Satisfaction
• Complete Ownership of Salethe s Cycle 
• To be Successful, the candidate should have experience in Software/Consultative Solution Sales, should have done concept selling, 
• Should have an understanding of IT Landscape in an enterprise, understanding of the Logistics Supply chain could be an added advantage
• The role requires the person to be quick thinker, an innovative problem solver and the ability to think on his feet will come in good stead.

Responsibilities

• Hunting New Accounts
• Business Development
• Enterprise Account & Sales Management – grow SOW
• Manage the entire sales cycle
• Maintain High level of customer satisfaction
• Pipeline management, Accurate Sales forecasting, Sales Negotiations and Business Closure.
• Exceeding Monthly and Quarterly Sales Targets

1. Building REST APIs using Node.js, Express, and MongoDB
2. Working on Flutter application development using various advanced strategies like state management, API integrations, and scalable databases
3. Working with Socket.io library for Flutter and Node.js product development
4. Learning and developing the cryptographic functions for product security
5. Managing product workloads on public/private cloud - we are currently on AWS & also planning to be on GCP/Azure (our platform would also be available as on-premise deployment, you will handle these deployments)
6. Develop API based architecture in order to ensure the business growth and integration-al capabilities of the product
7. Work on using GIT and CI-CD for product version control and continuous delivery

TechUnity is looking for a highly motivated and skilled React JS / React Native software developer who is comfortable with both front and back-end programming. Developer will be designing and implementing attractive and intuitive Web-based user interface and developing backend services to support front-end requests. Developer will be required to see out a project from conception to final product, requiring good organizational skills and attention to detail.

Other Responsibilities:

· Seeing through a project from conception to finished product

· Designing and coding of frontend web architecture

· Designing user interactions on web pages

· Developing backend server architecture

· Creating specification for servers and databases needed

· Ensuring responsive performance of applications.

· Designing and developing APIs.

· Meeting both technical and consumer needs.

· Staying abreast of developments in web applications and programming languages

· Good problem-solving skills.

· Excellent verbal communication skills