Sr. Engg - Application & Engineering

Data Scientist

Job Id: QX003

About Us:

QX impact was launched with a mission to make AI accessible and affordable and deliver AI Products/Solutions at scale for 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.

Position Overview:

We are seeking a collaborative and analytical Data Scientist who can bridge the gap between business needs and data science capabilities. In this role, you will lead and support projects that apply machine learning, AI, and statistical modeling to generate actionable insights and drive business value.

Key Responsibilities:

• Collaborate with stakeholders to define and translate business challenges into data science solutions.
• Conduct in-depth data analysis on structured and unstructured datasets.
• Build, validate, and deploy machine learning models to solve real-world problems.
• Develop clear visualizations and presentations to communicate insights.
• Drive end-to-end project delivery, from exploration to production.
• Contribute to team knowledge sharing and mentorship activities.

Must-Have Skills:

• 3+ years of progressive experience in data science, applied analytics, or a related quantitative role, demonstrating a proven track record of delivering impactful data-driven solutions.
• Exceptional programming proficiency in Python, including extensive experience with core libraries such as Pandas, NumPy, Scikit-learn, NLTK and XGBoost. 
• Expert-level SQL skills for complex data extraction, transformation, and analysis from various relational databases.
• Deep understanding and practical application of statistical modeling and machine learning techniques, including but not limited to regression, classification, clustering, time series analysis, and dimensionality reduction.
• Proven expertise in end-to-end machine learning model development lifecycle, including robust feature engineering, rigorous model validation and evaluation (e.g., A/B testing), and model deployment strategies.
• Demonstrated ability to translate complex business problems into actionable analytical frameworks and data science solutions, driving measurable business outcomes.
• Proficiency in advanced data analysis techniques, including Exploratory Data Analysis (EDA), customer segmentation (e.g., RFM analysis), and cohort analysis, to uncover actionable insights.
• Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines.
• Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences).
• Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines.
• Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences).

Good-to-Have Skills:

• Experience with cloud platforms (Azure, AWS, GCP) and specific services like Azure ML, Synapse, Azure Kubernetes and Databricks.
• Familiarity with big data processing tools like Apache Spark or Hadoop.
• Exposure to MLOps tools and practices (e.g., MLflow, Docker, Kubeflow) for model lifecycle management.
• Knowledge of deep learning libraries (TensorFlow, PyTorch) or experience with Generative AI (GenAI) and Large Language Models (LLMs).
• Proficiency with business intelligence and data visualization tools such as Tableau, Power BI, or Plotly.
• Experience working within Agile project delivery methodologies.

Competencies:

·        Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications.

·        Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.

·        Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.

·        Customer Focus - Building strong customer relationships and delivering customer-centric solutions.

·        Optimizes Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.

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.

Job Role: AI/ML Intern (LLMs & Agent Systems)

Location: Bangalore, India (On-site)

Duration: 6 Months

Company Overview:

IAI Solution Pvt Ltd operates at the edge of applied AI where foundational research meets real-world deployment. We craft intelligent systems that think in teams, adapt with context, and deliver actionable insight across domains.

We’re currently seeking passionate and skilled AI/ML Interns who are eager to contribute to real-world AI development, have hands-on experience with model fine-tuning, and are adept in prompt engineering. If you're ready to work on impactful projects and expand your expertise in AI, we’d love to hear from you.

Position Summary: We’re an AI/ML research-driven team focused on building intelligent AI Agents and RAG-based systems for real-world applications in finance, business, and personal assistance.

Our work combines applied research and fast-paced product development to create powerful, modular AI systems that think, reason, and act.

About the Role

As an AI/ML Intern, you’ll work closely with our core AI/ML team on projects involving LLMs, retrieval systems, and agentic reasoning.

You’ll contribute to experiments, data preparation, model evaluation, and prototype development, gaining exposure to both research concepts and production-level AI systems.

Key Responsibilities

• Assist in building and evaluating LLM- and agent-based pipelines (RAG, reasoning, tool use, etc.).
• Conduct small-scale experiments and contribute to prompt design and prompt evaluation.
• Help integrate LLMs with APIs, databases, and internal tools.
• Explore and document recent AI agent frameworks and LLM techniques.
• Collaborate with backend engineers to test and deploy prototypes.

Requirements

• Strong foundations in Machine Learning and Deep Learning concepts.
• Good understanding of LLM fundamentals - tokenization, embeddings, attention, context, etc.
• Some exposure to Prompt Engineering and reasoning patterns like Chain of Thought or ReAct.
• Experience in Python and libraries like PyTorch, NumPy, Pandas.
• Familiarity with Git/GitHub for version control.
• Curiosity and ability to learn quickly in a research-focused environment.

Preferred Qualifications

• Experience with Hugging Face Transformers/Datasets.
• Exposure to RAG systems and vector databases (Qdrant, Pinecone, Weaviate, Chroma).
• Awareness of LangChain, LangGraph, or other LLM/Agent frameworks.
• Knowledge of Docker, Redis, or basic database usage (PostgreSQL/MongoDB).
• Understanding of OpenAI, Anthropic, Ollama, or other model inference APIs.

What We Value

Curiosity, ownership, clarity of thought, and an understanding of why systems work the way they do, not just how to use them.

Perks

• Hands-on experience with real-world AI deployments.
• Work with state-of-the-art AI tools and platforms.
• Mentorship from top AI engineers and researchers.
• Flexible, innovation-driven work culture.

JobDost is promoted by JetSynthesys. 

JetSynthesys:

A digital ecosystem with products spanning across ITES, Personalized Entertainment, Telecom & Digital Media. Over 400 employees, headquartered in Pune, with offices in Mumbai, Bangalore, Tokyo, Singapore, London, New York, Los Angeles & San Francisco.

We are bridging the world, together with you. JetSynthesys was formed with the driving purpose to enrich the lives of all Indians. We passionately keep our finger on the pulse of the shifting trends and the needs of the Indian people as well as the western world. We take pride in being agile and strategic, helping to generate and provide support structures for these different worlds to connect. And we do this all in the name of sharing and cultivating culture to reveal rewards for everyone.

JobDost:

An IT product, service & staffing company. A platform to Hire Techies, offering curated services to Tech companies to optimize their recruitment process powered by E-Recruitment portal.

As a Tech Lead - MERN Stack Development, we are looking for programming geeks who are proactive and passionate about technology, coding and with 5 years of engineering experience to help us build our world-class Team of MERN Stack Developers.

What you'll do:

• Lead and mentor a team of developers on MERN Stack
• Conduct regular reviews on code and share best coding practise and all aspects of development cycle
• Work closely with the leadership team on team performance & development

Who you are:

• 5+ years of Hands-on technical expertise
• Must have relevant experience in designing, building, maintaining, and extending large-scale production systems
• Must have Strong basic Knowledge about each MERN Component - MongoDB, Express, React.js, Node JS
• Proven leadership skills: courage to challenge with candour, motivate and inspire team members
• Strong interpersonal and communication skills, for both technical and non-technical audiences
• Bonus if you have: Experience with AWS / Git, Prior Open-source contributions. Experience building responsive designs

Job Role: Full Time

Location: Remote/ If Required need to travel to Bangalore.

Job Summary:

As an RPA Lead, you will be responsible for setting up and managing our RPA infrastructure using Microsoft Power Automate. With 4+ years of hands-on experience, you’ll collaborate with cross-functional teams to identify, design, and execute automation strategies that enhance efficiency and scalability.

Key Responsibilities:

• Design and implement scalable RPA solutions using Microsoft Power Automate
• Set up and manage RPA infrastructure and environments
• Work with stakeholders to identify automation opportunities
• Develop, test, and deploy automation workflows
• Troubleshoot and optimize automation processes for performance and reliability
• Ensure adherence to best practices in RPA development and governance

Required Skills & Qualifications:

• 4+ years of experience in RPA or automation engineering
• Proven expertise in Microsoft Power Automate (cloud & desktop flows)
• Solid understanding of automation design, triggers, and integrations
• Experience setting up RPA environments from scratch
• Strong analytical and problem-solving skills

Preferred Skills:

• Familiarity with Power Platform (Power Apps, Power BI)
• Knowledge of scripting (PowerShell, Python) for advanced automation
• Exposure to Agile methodologies and CI/CD pipelines

• 2.5+ year of experience in Development in JAVA technology.
• Strong Java Basics
• SpringBoot or Spring MVC
• Experience in AWS.
• 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:

• 2+ 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.

We are looking for an experienced Node.js Developer with at least 3-years of experience. In this role, you will be responsible for developing and maintaining server-side applications and building scalable applications using Node.js. It is a WFH/Remote, full-time position.

Responsibilities

• Design and develop RESTful APIs using Node.js
• Build and maintain high-performance, reusable, and reliable code
• Write unit and integration tests for all code changes
• Developing and maintaining all server-side network components
• Designing customer-facing UI and back-end services for various business processes
• Collaborate with cross-functional teams to define, design, and ship new features
• Optimize application performance and ensure scalability and reliability
• Troubleshoot and debug issues in the application codebase
• Documenting Node.js processes, including database schemas, as well as preparing reports

Qualifications

• 3+ years of experience designing and/or developing applications using node.js
• Extensive knowledge of JavaScript, web stacks, libraries, and frameworks
• Strong experience with ExpressJS or Restify frameworks
• Very well understanding of Javascript, Browsers, real time communication
• Experience with ReactJS & MongoDB is a plus
• Strong fundamentals in OOPS, Data structured and Design Patterns
• Knowledge of front-end technologies such as HTML5 and CSS3

Skills required:
- knowledge of Linux administration and Bash,
- great overall coding experience, knowledge of algorithms, etc,
- experience with Git,
- experience with Docker.

Typical tasks would consist of writing scripts for:

- server automation,
- container deployment,
- user data migration,
- backup management.

• We are looking for an enthusiastic TeleCaller Representative to contribute in generating sales for our company.
• You will be responsible for closing sales deals over the phone and maintaining good customer relationships.
• An effective telesales representative must be an excellent communicator and have superior people skills.
• They must be comfortable presenting products or services over the phone as well as dealing with complaints and doubts.

• The goal is to help the company grow by bringing in customers and developing business.