Business Developer

Strong AI/ML Engineer Profile

Mandatory (Experience) : Must have 3+ years of experience in software engineering with atleast 1+ years in GenAI application development and production deployment

Mandatory (GenAI Application Development): Must have proven experience building GenAI applications covering RAG pipelines, multi-agent systems, Text2SQL, and fine-tuning

Mandatory (Production GenAI Deployment): Must have expertise deploying production-grade GenAI applications including model evaluation, optimisation, and ownership of full production rollouts

Mandatory (ML & Data Science Tooling): Must have strong hands-on experience with core ML and data science tools including pandas, scikit-learn, and PyTorch

Mandatory (Cloud ML Infrastructure): Must have experience building and deploying production-grade ML workloads on at least one of AWS, Azure, or GCP

Mandatory (Communication): Must have strong English communication skills with the ability to work across time zones and collaborate cross-functionally with product, engineering, and business stakeholders

1) Be open to learn new frameworks like Hapi.JS , Typescript , Nest.JS

2) Strong DB concepts , and hands on knowledge on MongoDB , REDIS

3) Experience working with micro-services will be a plus

4) Experience working with JWT and IAM systems will be a plus

5) Experience working with Postman , Swagger will be a plus

6) TDD knowledge is an advantage and also working with Unit Test code and familiar with test code coverage concepts.

7) Strong operating system knowledge is a plus with knowledge of how to manage threads.

8) Working experience with RabbitMQ , Kafka will be a plus

9) Strong knowledge of JS internals is a must.

You can contact me on nine three one six one two zero one three two

Mechanical Engineer – Job Description

A Mechanical Engineer is responsible for designing, developing, testing, and maintaining mechanical systems, machines, and components. The role includes creating technical drawings and 3D models using CAD software, performing calculations and simulations, and selecting appropriate materials and manufacturing processes.

Mechanical Engineers collaborate with production, quality, and maintenance teams to ensure designs are functional, safe, and cost-effective. They oversee prototype development, troubleshoot mechanical issues, and support installation and commissioning activities. Compliance with engineering standards, safety regulations, and continuous improvement initiatives are key responsibilities.

Key Skills: CAD software (AutoCAD, SolidWorks, CATIA), problem-solving, analytical skills, technical documentation.

Qualifications: Bachelor’s degree or Diploma in Mechanical Engineering.

Electrical Engineer – Job Description

An Electrical Engineer is responsible for designing, developing, installing, and maintaining electrical systems and equipment. The role involves preparing electrical schematics, wiring diagrams, control panel layouts, and ensuring systems comply with safety and regulatory standards.

Electrical Engineers work with automation, instrumentation, and maintenance teams to troubleshoot electrical faults, improve system efficiency, and support commissioning activities. They also handle load calculations, cable sizing, equipment selection, and preventive maintenance planning.

Key Skills: Electrical schematics, PLC basics, troubleshooting, safety compliance.

Qualifications: Bachelor’s degree or Diploma in Electrical Engineering.

Job Description

About the Role

We are seeking an experienced and hands-on Lead AI Engineer with 8-9 years of experience in developing, fine-tuning, and deploying machine learning and deep learning models, including Generative AI systems. The ideal candidate will have strong expertise in classification, anomaly detection, and time-series modeling, along with deep experience in Transformer-based architectures and modern LLM ecosystems.

This role requires technical leadership, architectural decision-making, and mentoring of AI engineers, while actively contributing to building scalable AI solutions. Expertise in model optimization, quantization, and Retrieval-Augmented Generation (RAG) pipelines is highly desirable.

Responsibilities

• Lead the design, development, and deployment of ML and deep learning models for classification, anomaly detection, forecasting, and natural language understanding tasks.
• Architect and build scalable AI and Generative AI solutions, including RAG pipelines for document search, Q&A, summarization, and enterprise knowledge systems.
• Design, train, and fine-tune deep learning models including RNNs, GRUs, LSTMs, and Transformer architectures (e.g., BERT, T5, GPT).
• Drive the fine-tuning and adaptation of large language models (LLMs) using techniques such as Supervised Fine-Tuning (SFT) and Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA or QLoRA.
• Apply model optimization techniques such as quantization, pruning, and efficient inference strategies to improve latency and reduce compute and memory footprint in production systems.
• Define and implement evaluation frameworks, track model performance, monitor model drift, and drive continuous model improvement.
• Lead collaboration with data engineering, backend, platform, and DevOps teams to productionize AI solutions using scalable infrastructure and CI/CD pipelines.
• Provide technical mentorship and guidance to junior and mid-level AI engineers and contribute to best practices in ML engineering.
• Ensure clean, reproducible code, maintain experiment tracking, documentation, and version control of models and datasets.
• Stay up to date with the latest advancements in LLMs, Generative AI, and AI infrastructure, and help drive adoption of new technologies.

Required Skills & Qualifications

• 8-9 years of hands-on experience in machine learning, deep learning, or data science roles.
• Strong programming expertise in Python and ML/DL libraries such as scikit-learn, pandas, PyTorch, and TensorFlow.
• Deep understanding of machine learning algorithms, deep learning architectures, and sequence/NLP modeling techniques.
• Extensive experience with Transformer models and open-source LLM ecosystems (e.g., Hugging Face Transformers).
• Hands-on experience building Generative AI applications and RAG-based systems using frameworks such as LangChain or LlamaIndex.
• Experience with model optimization and quantization techniques (dynamic/static quantization, INT8, etc.) for efficient inference.
• Strong understanding of embeddings, vector databases, and retrieval systems (e.g., FAISS, Pinecone, Azure AI Search).
• Experience with model evaluation, monitoring, and performance optimization in production environments.
• Familiarity with containerization (Docker), experiment tracking (MLflow), and CI/CD pipelines.
• Proven ability to lead technical initiatives and mentor engineering teams.

Preferred Qualifications

• Experience fine-tuning LLMs using SFT, LoRA, or QLoRA on domain-specific datasets.
• Exposure to MLOps platforms such as SageMaker, Vertex AI, or Kubeflow.
• Experience with distributed data processing frameworks like Spark and workflow orchestration tools such as Airflow.
• Contributions to research papers, technical blogs, patents, or open-source projects in ML, NLP, or Generative AI.
• Experience designing enterprise-scale AI platforms or AI-powered products.

KSVSoftTech Is product based IT company, which is looking for Graphics Designer / Video Editor

Experience: 1-2 Year

Location:- Indore (Old Palasia)

Primary technology should be first like UI design, Figma , Illustrator , photoshop ,branding, product designing, motion graphics , logo animation video, social media post & reel videos

CTC : As per the company standard.

Qualifications:

BTech/BE in computer science, electrical, electronics or related fields 5+ years of full stack design and development experience High emotional intelligence, empathy and collaborative approach. Experience in Angular Javascript frameworks, CSS, HTML5, NodeJS, ExpressJS, MongoDB to handle full stack web development. Experience with developing rich dynamic front end applications using Angular and CSS frameworks like BulmaCSS, Angular Material, Bootstrap, etc. Knowledge of GraphQL would be an added advantage. Knowledge of Cloud services like AWS, Heroku, Azure is preferable. Should be a quick learner to keep up with the pace of the ever changing world of technology as the candidate will get excellent exposure to the latest and trending Cloud based Saas technologies and best practices while working with varied customers based across the globe.

Responsibilities:

Develop web applications covering end to end software development life cycle right from writing UI code using Angular to backend API code using NodeJS and managing databases like MongoDB, MySQL, etc. Involved in full stack code management from Git check-ins to running automated builds and deployments using DevOps practices to deploy to public cloud services like AWS, Azure, Heroku, etc. Handling full-stack web development workflow right from front end to backend to CI/CD workflows. Design and Develop the tech architecture and work closely with CEO and CTO of the company Drive and guide with work of other engineers on the team

This is a leadership role and candidate is expected to wear multiple technical hats including customer interactions and investor discussions

• Communicating with hiring managers to identify future job openings and the technical requirements for those jobs.
• Writing job descriptions and posting to relevant media platforms.
• Screening applicants for competency with the job requirements.
• Arranging telephone, video, or in-person interviews.
• Performing background and reference checks.
• Presenting the resumes of the most suitable candidates to the hiring manager.
• Offering job positions and completing the relevant paperwork.
• Keeping track of all applicants as well as keeping applicants informed on the application process.
• Forecasting recruitment budgets.

What is a Data Prospectors day like?:

• Collecting and editing data through extensive web research, using google sheets, 

• Analyzing multiple information sources to resolve factual discrepancies in data.

• Engaging in online discussions with colleagues on best practices for getting positive results.

• Ensuring quality of data in the database.

You are an outstanding candidate if you: 

• Love to spend hours in front of your PC

•  Superb at finding information on the web

• Can type reasonably fast

• Love to work with a tech-loving cool virtual team.

• Have a webcam and mic and be available for meetings.

• Are Tech Savvy

• Can work close to UK (GMT Time Zone) working hours of 9 am - 5 pm.

• Have the ability to problem-solve and work independently - but can ask questions when needed

• Be open to training (as you will be trained by my project managers and me)

• Have  the hunger to be amazing at what you do

Educational Requirements: 

University degree or equivalent. In lieu of a degree, 2-4 years of experience working in English in a business environment. 

Work Experience at any of the following:

• Web research

• Link building

• Localization projects

• Data collection

• Research and information analysis

   

Salary and Benefits:

• The salary of this job (Once it moves to a full-time position of 40 hours per week), will be from $520 to $840 per month, depending on experience and competency. 
• The higher end of range will only be for prospectors with extensive professional experience as a high-quality link prospectors.
• But better than that, we have a set pay progression plan which means this can go up with time.
• And a performance incentive plan which means if you’re able to hit targets, you will also qualify for a quarterly bonus as well.
• And there’s even a chance of promotion - every management and senior position we have in the company has been from within. 

1. Extensive experience in Javascript / NodeJS in the back end
2. Front end frameworks such as Bootstrap, Pug, Jquery
3. Experience in web frameworks like ExpressJS, Webpack
4. Experience in Nginx, Redis, Apache Kafka and MQTT
5. Experience with MongoDB
6. Experience with Version Control Systems like Git / Mercurial
7. Sound knowledge in Software engineering best practices
8. Sound knowledge in RestFul API Design
9. Working knowledge of Automated testing tools
10. Experience in maintaining production servers (Optional)
11. Experience with Azure DevOps (Optional)

1. Experience in digital payments or financial services industry is a plus.
2. Participation in the processes of strategic project-planning meetings.
3. Be involved and participate in the overall application lifecycle.
4. Collaborate with External Development Teams.
5. Define and communicate technical and design requirements, understanding workflows and write code as per requirements.
6. Develop functional and sustainable web applications with clean codes.
7. Focus on coding and debugging.