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PythonJob Title: AI & Automation Engineer
Experience: 3–5 Years
Employment Type: Full-time
Location: On-site
About the Role
We are looking for a passionate and hands-on AI & Automation Engineer to build intelligent automation solutions that improve efficiency and drive business scalability. In this role, you will design and develop automated workflows, build web scrapers and data pipelines, integrate AI/LLM APIs, and create smart systems that eliminate repetitive manual processes.
This position is ideal for someone who enjoys solving real-world business problems using automation, scripting, machine learning, and artificial intelligence technologies.
Key Responsibilities
Design, develop, and maintain automation workflows using platforms such as n8n, Make (Integromat), Zapier, and custom scripts.
Build automation solutions using Python and Google Apps Script for Google Workspace applications, including Google Sheets, Docs, Forms, and Gmail.
Develop and maintain web scraping solutions and data extraction pipelines using tools such as BeautifulSoup, Scrapy, Playwright, or Puppeteer, while adhering to ethical and legal guidelines.
Apply AI and Machine Learning techniques for classification, prediction, data enrichment, document processing, and content generation.
Integrate LLM APIs such as OpenAI, Anthropic Claude, and other AI services into internal tools and automated workflows.
Develop integrations between SaaS platforms, CRMs, databases, spreadsheets, and third-party APIs.
Analyze existing business processes and design end-to-end automation solutions that improve operational efficiency.
Design, manage, and optimize SQL/NoSQL databases supporting automation workflows.
Monitor, troubleshoot, and maintain automation systems to ensure high reliability, scalability, and performance.
Implement proper logging, error handling, monitoring, and documentation for all automation solutions.
Collaborate with cross-functional teams to identify automation opportunities and deliver scalable AI-powered solutions.
Required Skills & Qualifications
Bachelor's degree in Computer Science, Information Technology, B.E., B.Tech, BCA, MCA, or equivalent practical experience.
3–5 years of experience in automation engineering, scripting, AI integration, or related technical roles.
Strong proficiency in Python and/or Google Apps Script.
Hands-on experience with automation platforms such as n8n, Make (Integromat), Zapier, or similar tools.
Experience developing web scrapers using BeautifulSoup, Scrapy, Playwright, Puppeteer, or equivalent frameworks.
Practical experience integrating AI/LLM APIs into business applications.
Good understanding of Machine Learning fundamentals and AI-powered automation.
Strong knowledge of REST APIs, JSON, Webhooks, Authentication, and API integrations.
Experience working with SQL and NoSQL databases.
Strong analytical, debugging, and problem-solving abilities.
Ability to design scalable automation systems from scratch with minimal supervision.
Preferred Skills
Experience with Scikit-learn, TensorFlow, or PyTorch.
Knowledge of Vector Databases, Retrieval-Augmented Generation (RAG), and AI Agents.
Experience with Prompt Engineering and Agentic AI Workflows.
Familiarity with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure.
Experience with Docker, serverless architectures, and cloud-based deployments.
Basic front-end development skills (HTML, CSS, JavaScript) for building internal dashboards and tools.
What We're Looking For
Strong passion for automation and AI technologies.
A builder mindset with the ability to transform manual processes into intelligent automated systems.
Excellent problem-solving and logical thinking skills.
Self-motivated, detail-oriented, and eager to learn emerging AI technologies.
Strong communication and collaboration skills.
Ability to work independently while contributing effectively within a team.
Why Join Us?
Work on cutting-edge AI and automation projects.
Build intelligent systems that have a direct business impact.
Opportunity to experiment with the latest AI technologies and LLMs.
Collaborative environment with continuous learning and growth opportunities.
Exposure to modern automation platforms, cloud technologies, and scalable AI solutions.
C++PythonAt Dolat Capital, we blend cutting-edge technology with quantitative finance to drive high-performance trading across Equities, Futures, and Options. We're a fast-moving team of traders, engineers, and data scientists building ultra-low latency systems and intelligent trading strategies.
🎯 What You’ll Work On
1. Designing and deploying high-frequency, high-sharpe trading strategies
2. Building low-latency, high-throughput trading infrastructure (C++/Python/Linux).
3. Leveraging AI/ML to detect alpha and market patterns from large datasets
Real-time risk systems, simulation tools, and performance optimization
4. Collaborating across tech and trading teams to push innovation in live markets.
🧠 What We’re Looking For
1. Master’s (U.S.) in CS or Computational Finance (MANDATORY)
2. 1–2 years of experience in a quant/tech-heavy role
3. Strong in C++, Python, algorithms, Linux, TCP/UDP
4. Experience with AI/ML tools like TensorFlow, PyTorch, or Scikit-learn
5. Passion for high-performance systems and market innovation.
Data Science
Machine Learning (ML)About UpSolve
We built and deliver complex AI solutions which help drive business decisions faster and more accurately. We are a typical AI company and have a range of solutions developed on Video, Image and Text.
What you will do
- Stay informed on new technologies and implement cautiously
- Maintain necessary documentation for the project
- Fix the issues reported by application users
- Plan, build, and design solutions with a mental note of future requirements
- Coordinate with the development team to manage fixes, code changes, and merging
Location: Mumbai
Working Mode: Remote
What are we looking for
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- Minimum 2 years of professional experience in software development, with a focus on machine learning and full stack development.
- Strong proficiency in Python programming language and its machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
- Experience in developing and deploying machine learning models in production environments.
- Proficiency in web development technologies including HTML, CSS, JavaScript, and front-end frameworks such as React, Angular, or Vue.js.
- Experience in designing and developing RESTful APIs and backend services using frameworks like Flask or Django.
- Knowledge of databases and SQL for data storage and retrieval.
- Familiarity with version control systems such as Git.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
- Ability to work effectively in a fast-paced and dynamic team environment.
- Good to have Cloud Exposure
India's first Options Trading Analytics platform on mobile.
Location : Andheri East
Notice Period: Immediate-15 days
Responsibilities:
1. Study and transform data science prototypes.
2. Design NLP applications.
3. Select appropriate annotated datasets for Supervised Learning methods.
4. Find and implement the right algorithms and tools for NLP tasks.
5. Develop NLP systems according to requirements.
6. Train the developed model and run evaluation experiments.
7. Perform statistical analysis of results and refine models.
8. Extend ML libraries and frameworks to apply in NLP tasks.
9. Use effective text representations to transform natural language into useful features.
10. Develop APIs to deliver deciphered results, optimized for time and memory.
Requirements:
1. Proven experience as an NLP Engineer of at least one year.
2. Understanding of NLP techniques for text representation, semantic extraction techniques, data
structures and modeling.
3. Ability to effectively design software architecture.
4. Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment
analysis etc), statistics and classification algorithms.
5. Hands on Experience of Knowledge of Python of more than a year.
6. Ability to write robust and testable code.
7. Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
8. Strong communication skills.
9. An analytical mind with problem-solving abilities.
10. Bachelor Degree in Computer Science, Mathematics, Computational Linguistics.
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