11+ SRM Jobs in India

Experience:2+ Years

We are seeking a dynamic and experienced Digital Marketing Executive to join our team. The ideal candidate should possess a proven track record of acquiring leads through various digital channels, including Facebook, LinkedIn, YouTube, and Google. Additionally, the candidate should have expertise in promoting Business Software products such as ERP, CRM, Mobile Apps, BI Tools, etc. through targeted marketing strategies.

Roles & Responsibilities:

Lead Generation: Develop and execute digital marketing campaigns to generate high-quality leads through Facebook, LinkedIn, Google, and other relevant platforms.

Business Software Promotion: Plan and implement result-driven marketing strategies to promote our range of Business Software products to a targeted audience.

Social Media Management: Manage and create engaging content for our social media platforms to enhance brand presence and drive user engagement.Paid Advertising: Optimize paid advertising campaigns to maximize lead generation and brand awareness.

Email Marketing: Utilize Mailchimp and other email marketing tools to design and execute effective email campaigns to nurture leads and engage existing customers.

Brand Campaigns: Conceptualize and execute brand campaigns on social media and other channels to enhance brand visibility and recognition.

Analytics and Reporting: Monitor and analyze the performance of digital marketing campaigns using various analytical tools and provide insights for continuous improvement.

SEO and Content Marketing: Collaborate with the content team to optimize website content for SEO and strategize content marketing initiatives.

Market Research: Stay up-to-date with industry trends, competitor activities, and customer preferences to refine marketing strategies.

Requirements:

Proven Experience: Minimum of 2 years of successful experience in digital marketing with a focus on lead generation and brand promotion.

Software Marketing: Strong knowledge and experience in promoting Business Software products such as Odoo, ERP, CRM, Mobile Apps, BI Tools, etc.Social Media Expertise: Proficiency in managing and conducting brand campaigns across various social media platforms.

Lead Generation: Demonstrated ability to generate quality leads through Facebook, LinkedIn, Google, Youtube and other digital channels.

Email Marketing: Experience in executing effective email marketing campaigns using Mailchimp or similar tools.

Analytical Skills: Proficient in analyzing campaign performance data and translating it into actionable insights.

Creativity and Innovation: A creative mindset with the ability to develop unique marketing strategies.

Excellent Communication: Strong written and verbal communication skills to create compelling content and interact with the target audience.

Preferred Qualification:

Bachelor's Degree in Marketing

Bachelor's Degree in Business or Business Administration

Bachelor's Degree in Communication

Bachelor's Degree in Digital Media

Bachelor's Degree in Information Technology or Computer Science

Bachelor's Degree in Public Relations or Journalism

Bachelor's Degree in Graphic Design or Multimedia Arts

Bachelor's Degree in E-commerce or Digital Business

Senior Generative AI Engineer

Job Id: QX016

About Us:

The QX impact was launched with a mission to make AI accessible and affordable and deliver AI Products/Solutions at scale for the enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights; businesses will continue to face challenges to better understand their customers and even lose them.

Secondly, without insights businesses won't’ be able to deliver differentiated products/services; and finally, without insights, businesses can’t achieve a new level of “Operational Excellence” is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization.

Job Summary:

We seek a highly experienced Senior Generative AI Engineer who focus on the development, implementation, and engineering of Gen AI applications using the latest LLMs and frameworks. This role requires hands-on expertise in Python programming, cloud platforms, and advanced AI techniques, along with additional skills in front-end technologies, data modernization, and API integration. The Senior Gen AI engineer will be responsible for building applications from the ground up, ensuring robust, scalable, and efficient solutions.

Responsibilities:

·        Build GenAI solutions such as virtual assistant, data augmentation, automated insights and predictive analytics

·        Design, develop, and fine-tune generative AI models (GANs, VAEs, Transformers).

·        Handle data preprocessing, augmentation, and synthetic data generation.

·        Work with NLP, text generation, and contextual comprehension tasks.

·        Develop backend services using Python or .NET for LLM-powered applications.

·        Build and deploy AI applications on cloud platforms (Azure, AWS, GCP).

·        Optimize AI pipelines and ensure scalability.

·        Stay updated with advancements in AI and ML.

Skills & Requirements:

• Strong knowledge of machine learning, deep learning, and NLP.
• Proficiency in Python, TensorFlow, PyTorch, and Keras.
• Experience with cloud services, containerization (Docker, Kubernetes), and AI model deployment.
• Understanding of LLMs, embeddings, and retrieval-augmented generation (RAG).
• Ability to work independently and as part of a team.
• Bachelor’s degree in Computer Science, Mathematics, Engineering, or a related field.
• 6+ years of experience in Gen AI, or related roles.
• Experience with AI/ML model integration into data pipelines.

Core Competencies for Generative AI Engineers:

1.      Programming & Software Development

a.      Python – Proficiency in writing efficient and scalable code with strong knowledge with NumPy, Pandas, TensorFlow, PyTorch and Scikit-learn.

b.      LLM Frameworks – Experience with Hugging Face Transformers, LangChain, OpenAI API, and similar tools for building and deploying large language models.

c.      API integration such as FastAPI, Flask, RESTful API, WebSockets or Django.

d.      Knowledge of Version Control, containerization, CI/CD Pipelines and Unit Testing.

2.      Vector Database & Cloud AI Solutions

a.      Pinecone, FAISS, ChromaDB, Neo4j

b.      Azure Redis/ Cognitive Search

c.      Azure OpenAI Service

d.      Azure ML Studio Models

e.      AWS (Relevant Services)

3.      Data Engineering & Processing

1. Handling large-scale structured & unstructured datasets.
2. Proficiency in SQL, NoSQL (PostgreSQL, MongoDB), Spark, and Hadoop.
3. Feature engineering and data augmentation techniques.

4.      NLP & Computer Vision

1. NLP: Tokenization, embeddings (Word2Vec, BERT, T5, LLaMA).
2. CV: Image generation using GANs, VAEs, Stable Diffusion.
3. Document Embedding – Experience with vector databases (FAISS, ChromaDB, Pinecone) and embedding models (BGE, OpenAI, SentenceTransformers).
4. Text Summarization – Knowledge of extractive and abstractive summarization techniques using models like T5, BART, and Pegasus.
5. Named Entity Recognition (NER) – Experience in fine-tuning NER models and using pre-trained models from SpaCy, NLTK, or Hugging Face.
6. Document Parsing & Classification – Hands-on experience with OCR (Tesseract, Azure Form Recognizer), NLP-based document classifiers, and tools like LayoutLM, PDFMiner.

5.      Model Deployment & Optimization

1. Model compression (quantization, pruning, distillation).
2. Deployment using Azure CI/CD, ONNX, TensorRT, OpenVINO on AWS, GCP.
3. Model monitoring (MLflow, Weights & Biases) and automated workflows (Azure Pipeline).
4. API integration with front-end applications.

6.      AI Ethics & Responsible AI

1. Bias detection, interpretability (SHAP, LIME), and security (adversarial attacks).

7.      Mathematics & Statistics

1. Linear Algebra, Probability, and Optimization (Gradient Descent, Regularization, etc.).

8.      Machine Learning & Deep Learning

a.      Expertise in supervised, unsupervised, and reinforcement learning.

a.      Proficiency in TensorFlow, PyTorch, and JAX.

b.      Experience with Transformers, GANs, VAEs, Diffusion Models, and LLMs (GPT, BERT, T5).

Personal Attributes:

• Strong problem-solving skills with a passion for data architecture.
• Excellent communication skills with the ability to explain complex data concepts to non-technical stakeholders.
• Highly collaborative, capable of working with cross-functional teams.
• Ability to thrive in a fast-paced, agile environment while managing multiple priorities effectively.

Why Join Us?

• Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
• Work on impactful projects that make a difference across industries.
• Opportunities for professional growth and continuous learning.
• Competitive salary and benefits package.

Ready to make an impact? Apply today and become part of the QX impact team!

We are looking for back end engineering experts with the passion to take on new challenges in a high growth startup environment. If you love finding creative solutions to coding challenges using the latest tech stack such as Java 18+, Spring Boot 3+, then we would like to speak with you.

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Roles & Responsibilities

• You will be part of a team that focuses on building a world-class data science platform
• Work closely with both product owners and architects to fully understand business requirements and the design philosophy
• Optimize web and data applications for performance and scalability
• Collaborate with automation engineering team to deliver high-quality deliverables within a challenging time frame
• Produce quality code, raising the bar for team performance and speed
• Recommend systems solutions by comparing advantages and disadvantages of custom development and purchased alternatives
• Follow emerging technologies

Key Skills Required

• Bachelor’s degree (or equivalent) in computer science
• At least 6 years of experience in software development using Java / Python, SpringBoot, REST API and scalable microservice frameworks.
• Strong foundation in computer science, algorithms, and web design
• Experience in writing highly secure web applications
• Knowledge of container/orchestration tools (Kubernetes, Docker, etc.) and UI frameworks (NodeJS, React)
• Good development habits, including unit testing, CI, and automated testing
• High growth mindset that challenges the status quo and focuses on unique ideas and solutions
• Experience on working with dynamic startups / high intensity environment would be a Plus
• Experience working with shell scripting, Github Actions, Unix and prominent cloud providers like GCP, Azure, S3 is a plus

‍Why Join Us

• Drive measurable impact for Fortune 500 customers across the globe, helping them turn AI vision into operational value.
• Be part of a category-defining AI company, pioneering a hybrid model that bridges agents and experts.
• Own strategic accounts end-to-end and shape what modern AI success looks like.
• Work with a cross-functional, high-performance team that values execution, clarity, and outcomes.
• Globally competitive compensation and benefits tailored to your local market.
• Recognized as a Top 5 Data Science and Machine Learning platform on G2 for customer satisfaction.

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Android Developer - IoT Integration Specialist

We're seeking an experienced Android developer to build and integrate mobile solutions with industrial IoT systems. You'll collaborate directly with IoT teams to connect Android applications with production-grade machinery, focusing on core connectivity features including GSM, WiFi, Bluetooth, local storage, and GPS functionality. This hands-on role requires strong Android development skills and the ability to work with hardware integrations in industrial environments.

Key Focus Areas:

• Android app development for industrial IoT applications
• Integration with production machinery and IoT devices
• Core connectivity libraries (GSM, WiFi, Bluetooth, GPS)
• Local data storage and management
• Cross-functional collaboration with IoT development teams

Required Education:

B.Tech./ BE - Computer, IT, Electronics only

Required Skills:

• 2+ year of experience in Development in JAVA technology.
• Strong Java Basics
• SpringBoot or Spring MVC
• Hands on experience on Relationl Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Any Caching Mechanism
• Good at problem solving

Good to Have Skills:

• 4+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus

Roles & Responsibilities :

● Expertise in ON OFF Page SEO activities.

● Identifying and implementing strategies to increase website traffic through organic search listings without being blacklisted.

● Proven SEM experience managing PPC campaigns across Google and other Search Engines.

● Handling all aspects of SEO, SMO and different ways of link building ● Solid understanding of performance marketing, conversion, and online customer acquisition

● Technical Analysis and Audit of the website. Good knowledge of Google webmaster Analytics.

● Experience with A/B and multivariate experiments

● Knowledge of ranking factors and search engine algorithms

● Up-to-date with the latest trends and best practices in SEO and SEM ● Should have a good understanding of the digital environment and the opportunities for using social media.

Skills Required :

● Excellent communication and team player skills.

● Ability to handle international clients

● Ability to manage multiple projects and handle clients

We at Noise.com are looking for an experienced, Tech Lead who has hands-on experience of mobile apps development to be part of our team. We need someone with expert-level technical skills and expertise, who can manage a fully functional web and app development team, maintain impeccable quality standards and optimize functions accordingly throughout the completion of the app project. You will have an opportunity to build the team. 

Profile summary: 

• Managing the entire product life cycle - conceptualization, design, development, Q/A, maintenance, and new version upgradation

• Good knowledge of Ruby,Node.js, React Native, Android/iOS App development, Firebase, and web services (Java, JavaScript, HTML, XML, OOA, OOD, DS, DB Concepts) 

• Work closely with stakeholders on website, app, and internal product planning and execution.

• Provide technical leadership in the end to end design, development, and testing of solutions

• Keep up to date on cutting edge technologies and effectively incorporate that knowledge to our platform roadmap, design, and implementation

• Sound Knowledge of testing methodologies including automation testing

• Handle and address any issues regarding the development: technical difficulty or team management & get all issues resolved by coordinating with other technical experts or if required by any other department for the same

• Coordinate with internal resources and third parties/consultants/vendors for the flawless execution of projects

• Maintaining an Agile environment and meeting the product delivery deadlines

• Lead and manage the day to day activities of their team

• Establish and maintain a proper communication channel among all the stakeholders and report and escalate the same to management as needed

• Tracking the status of the team's work and ensuring deliverables are produced on agreed schedules in coordination with the other stakeholders

• Conduct project risk identification and mitigation action planning

• Conduct module-level work effort estimations and integrate for the whole system  

• Provide accurate and detailed weekly task reports

• Should have at least 3.5+ years of experience in mobile application development experience with at least two apps that are on the app store that you are proud to discuss with us

Your must-haves:  

• You should be familiar with the Cloud Technologies 

• You should be familiar with the Web Architecture 

• You should be familiar with the Mobile Architecture especially MVVM

• Consistently demonstrated ability of Tech Lead in current role

• 5+ Years of relevant industry experience

• Certified: AWS Solution Architect (Preferred but not mandatory)

• 4+ years Rails experience in a production environment working complex Ruby on Rails applications and Ruby gems
• Proficient understanding of code versioning tools
• Knack for writing clean, readable Ruby code
• Knowledge on HTTP and RESTFUL API development experience
• Experience in Angular is a plus
• Proactiveness, good communication and fast learning.