Salesforce developer

Job Title : AI/ML Engineer

Experience : 3+ Years

Location : Gurgaon (On-site)

Work Mode : 6 Days Work From Office

Summary :

We are seeking an experienced AI/ML Engineer to join our team in Gurgaon. The ideal candidate will have a strong background in machine learning algorithms, AI model development, and deploying ML solutions into production.

Key Responsibilities:

• Design, develop, and deploy AI/ML models and solutions.
• Work on data preprocessing, feature engineering, and model optimization.
• Collaborate with cross-functional teams to integrate AI/ML capabilities into applications.
• Monitor and improve the performance of deployed models.
• Stay updated on the latest AI/ML advancements and tools.

Requirements:

• Proven experience in AI/ML development with tools like TensorFlow, PyTorch, or Scikit-learn.
• Strong programming skills in Python.
• Familiarity with data preprocessing and feature engineering techniques.
• Experience with ML model deployment (e.g., using Docker, Kubernetes).
• Excellent problem-solving and analytical skills.

Why Join Us?

• Competitive salary and growth opportunities.
• Work on cutting-edge AI/ML projects in a collaborative environment.

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!

Job Description: Salesforce Financial Services Cloud Consultant

Role: Salesforce Financial Services Cloud Consultant

Job Location: Remote

Start Date: Immediate

Experience: 7+ Years

Time zone: 6 AM- 3 PM

Key Responsibilities:

1. 7+ years of experience in Salesforce Finance Cloud.
2. Proven experience with Salesforce Financial Services Cloud and Wholesale
3. Banking/Retail Banking.
4. In-depth knowledge of key product models in the Financial Services Industry
5. In-depth understanding of key finance and banking principles, including Financial
6. Planning, Forecasting & Analysis, Cost optimization, and Revenue computation
7. Data modelling, Process modelling tools, and best practices
8. Expertise in Salesforce Finance Service Cloud (FSC), Sales and Service Cloud
9. Strong understanding of Salesforce development practices, including Apex, Visualforce,
10. Lightning Web Components, and Salesforce APIs.
11. Experience with integration of Salesforce with other financial systems and third-party

applications.

Excellent Communication Skills.

Responsibilities:

• Develop and maintain high-quality, efficient, and scalable backend applications.
• Participate in all phases of the software development lifecycle (SDLC)
• Write clean, well-documented, and testable code adhering to best practices.
• Collaborate with team members to ensure the successful delivery of projects.
• Debug and troubleshoot complex technical problems.
• Identify and implement performance optimizations.
• Participate in code reviews
• Hands-on experience with Springboot, Java 8 and above.
• 2-5 years of experience developing Java applications.
• Knowledge about at least one messaging system like Kafka, RabbitMQ etc.
• Required React developer requirements, qualifications & skills:
• Proficiency in React.js and its core principles
• Strong JavaScript, HTML5, and CSS3 skills
• Experience with popular React.js workflows (such as Redux)
• Strong understanding of object-oriented programming (OOP) principles.
• Experience with design patterns and best practices for Java development.
• Proficient in unit testing frameworks (e.g., JUnit).
• Experience with build automation tools (e.g., Maven, Gradle).
• Experience with version control systems (e.g., Git).
• Experience with one of these databases – Postgres, MongoDb, Cassandra
• Knowledge on Retail or OMS is a plus.
• Experienced in containerized deployments using Docker, Kubernetes and DevOps mindset
• Ability to reverse engineer existing/legacy and document findings on confluence.
• Create automated tests for unit, integration, regression, performance, and functional testing, to meet established expectations and acceptance criteria.

Position: Business Development Manager

Shift Timing: 10 AM to 7 PM - Monday to Saturday (Remote)

Company: JNJ Technologies & Services LLP - http://jnjservices.co.in/ Location: Vijayawada, Andra Pradesh

Language: English

Salary: 5 LPA to 7.20 LPA

We are looking for a motivated and ambitious Business Development Manager to expand our clientele. You will be responsible for applying different sales strategies and work with dedication to increase sales. Your ultimate goal will be to drive sustainable financial growth by boosting sales and maintaining strong client relationships.

Requirements:

• Bachelor’s degree in business, marketing or related field.

• 4 - 8 Years of Experience in sales, marketing or related field.

• Strong communication skills and IT fluency.

• Ability to manage complex projects and multi-task.

• Excellent organizational skills.

• Ability to flourish with minimal guidance, be proactive, and handle uncertainty.

• Proficient in Word, Excel, Outlook, and PowerPoint.

• Comfortable using a computer for various tasks.

Responsibilities:

• Develop a growth strategy focused both on financial gain and customer satisfaction

• The responsibilities of a Sales Manager Own recruiting, objectives setting, coaching and performance monitoring of sales representatives. • 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.

What you need to have: 

Roles & Responsibilities:-

Coding and Development. The desired candidate will be responsible for developing next-generation web applications & software products
Analyzing requirements, problems and solving them with the best solution.
Producing high-quality code without much supervision and on-time delivery.
A high degree of passion for developing the ability to rapidly learn and apply new technologies to meet business goals is crucial.
Proficiency in design patterns.
Extensive experience with writing code accessing and manipulating the databases.
Must have worked on Web Services, E-commerce, CRM, e-learning products, etc 
Interacting & working with the design team to match code with design layout.
Working in a cross-functional team, collaborating with peers during the entire SDLC.