Digital Marketing Intern

Role: Data Scientist

Location: Bangalore (Remote)

Experience: 4 - 15 years

Skills Required - Radiology, visual images, text, classical model, LLM multi model, Primarily Generative AI, Prompt Engineering, Large Language Models, Speech & Text Domain AI, Python coding, AI Skills, Real world evidence, Healthcare domain

JOB DESCRIPTION

We are seeking an experienced Data Scientist with a proven track record in Machine Learning, Deep Learning, and a demonstrated focus on Large Language Models (LLMs) to join our cutting-edge Data Science team. You will play a pivotal role in developing and deploying innovative AI solutions that drive real-world impact to patients and healthcare providers.

Responsibilities

• LLM Development and Fine-tuning: fine-tune, customize, and adapt large language models (e.g., GPT, Llama2, Mistral, etc.) for specific business applications and NLP tasks such as text classification, named entity recognition, sentiment analysis, summarization, and question answering. Experience in other transformer-based NLP models such as BERT, etc. will be an added advantage.

• Data Engineering: collaborate with data engineers to develop efficient data pipelines, ensuring the quality and integrity of large-scale text datasets used for LLM training and fine-tuning

• Experimentation and Evaluation: develop rigorous experimentation frameworks to evaluate model performance, identify areas for improvement, and inform model selection. Experience in LLM testing frameworks such as TruLens will be an added advantage.

• Production Deployment: work closely with MLOps and Data Engineering teams to integrate models into scalable production systems.

• Predictive Model Design and Implementation: leverage machine learning/deep learning and LLM methods to design, build, and deploy predictive models in oncology (e.g., survival models)

• Cross-functional Collaboration: partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions

• Knowledge Sharing: mentor junior team members and stay up to date with the latest advancements in machine learning and LLMs

Qualifications Required

• Doctoral or master’s degree in computer science, Data Science, Artificial Intelligence, or related field

• 5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models

• 12+ months of in-depth experience working with LLMs. Proficiency in Python and NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch).

• Experience working with cloud-based platforms (AWS, GCP, Azure)

Additional Skills

• Excellent problem-solving and analytical abilities

• Strong communication skills, both written and verbal

• Ability to thrive in a collaborative and fast-paced environment

Role: Graphic Designer - Work from Home

• Exp: 0-2 Years
• Salary: 25K
• Open Position: 100+

Overall Synopsis (Skills to focus) 

• Brush up your skills in Photoshop & Illustrator
• Illustrator tools - Pen tool, Gradient, Pathfinder, Blending modes, type on a path, rotate and reflect, mesh tool, selection tool, etc.
• Photoshop tools – change the color of the background, remove a selection, pen tool etc. 
• Make sure to revise to recreate curves, and nodes smoothly while doing vectorization.
• Try making some logo designs, and work on the curves & texture.

If interested kindly share your updated resume on 82008 31681

MERN Stack Expertise: Strong hands-on experience with MongoDB, Express.js, React.js, and Node.js.

Frontend Skills: Proficiency in React (Hooks, Redux, Context API), JavaScript (ES6+), TypeScript, HTML5, CSS3, Tailwind/Bootstrap.

Backend & APIs: Building scalable microservices, REST/GraphQL APIs, authentication & authorization flows.

Database & Cloud: Expertise in NoSQL (MongoDB) and deployment on AWS/GCP/Azure with CI/CD pipelines.

Fintech/Payments Domain:

• Payment Gateway Integrations (Razorpay, Cashfree, PayU, CCAvenue, BillDesk).
• Banking APIs (UPI, IMPS, NEFT, RTGS, NACH) for Pay-In / Payout solutions.
• Knowledge of reconciliation, settlements, fraud detection, KYC/AML, PCI-DSS compliance.

Gaming Domain Exposure (Preferred):

• In-app purchase systems, wallets, tokens/credits, reward points.
• Real-time payment flows in multiplayer or gaming platforms.

Problem Solving: Ability to design, develop, and deploy independently from Day 1 with minimal supervision.

🚀 We're Hiring: Test Engineer at InfoGrowth 🚀

Are you an experienced Test Engineer with a passion for automotive embedded systems and automation testing? Join InfoGrowth, a leader in IT and cloud services, and become a part of a dynamic team focused on cutting-edge automotive technology solutions.

Key Responsibilities:

• Design and implement test automation solutions for embedded products in the automotive industry.
• Architect efficient test automation strategies from software to integrated system tests on virtual and physical embedded targets.
• Offer automation testing as a platform for development teams, enabling them to run CI/CD pipeline tests independently.
• Lead in the design and operation of test automation platforms, ensuring top-quality testing efficiency.
• Conduct both manual and automated testing at various system levels, including SW, BaseTech, ADAS, Brake, Suspension, Steering, and Connectivity.

Key Skills:

• Proven expertise in test automation for embedded products in the automotive domain.
• Proficient in Python programming, with experience in Robot Frameworks being a strong plus.
• Hands-on experience with Vector tools such as CANalyzer, CANoe, and CAPL.
• Solid understanding of communication protocols like CAN, LIN, FlexRay, and Ethernet.
• Strong knowledge of HIL (Hardware-in-the-loop) and SIL (Software-in-the-loop) technologies.
• Deep understanding of embedded software testing.

Preferred Experience Areas:

• Testing and implementation of automated/manual testing on Complete Vehicle Electronics System level (SWDL, network management, customer functions).
• Boxcar and HIL testing for critical automotive functions, including ADAS and Steering functionalities.
• Testing and implementing strategies for the Connectivity and system-level automotive technologies.

Hii 

Please Find the Job Details below.


Sales Manager Responsibilities:

• Managing organizational sales by developing a business plan that covers sales, revenue and expense controls.
• Meeting planned sales goals.
• Setting individual sales targets with the sales team.
• Tracking sales goals and reporting results as necessary.
• Overseeing the activities and performance of the sales team.
• Coordinating with marketing on lead generation.
• The ongoing training of your salespeople.
• Developing your sales team through motivation, counseling and product knowledge education.
• Promoting the organization and products.
• Understand our ideal customers and how they relate to our products.

Sales Manager Requirements:

• Bachelors or Master's degree in Business, Marketing or a related field.
• Experience in planning and implementing sales strategies.
• Experience in customer relationship management.
• Experience managing and directing a sales team.
• Excellent written and verbal communication skills.
• Dedication to providing great customer service.
• Ability to lead a sales team.