Data Engineer

Job Description: Python Developer

Experience: 2+ Years

Job Location: Nr. Iskcon Mega Mall, SG Highway, Ahmedabad

Timings: 10 AM to 7 PM

Job Description:

Technical Skills :

• Good knowledge of Python with 2+ years of minimum experience 
• Strong understanding of various Python Libraries, APIs, and toolkits. 
• Good experience in Django, Django REST Framework, and Flask framework.
• Understanding of AWS Serverless implementation using Lambda and API Gateway
• Hands-on Experience in Databases like Mysql, PostgreSQL.
• Good experience/understanding in Agentic AI / RAG.
• Proficient in NoSQL document databases especially MongoDB, Redis.
• Stronghold in Data Structures and Algorithm
• Thorough understanding of version control system concepts especially GIT.
• Understanding of the whole web stack and how all the pieces fit together (front-end, database, network layer, etc.) and how they impact the performance of your application.
• Excellent understanding of MVC and OOP. Bonus for the understanding of prevalent design patterns.
• Excellent debugging and optimization skills

Job Responsibilities :

• Building big, robust, scalable, and maintainable applications.
• Debugging, Fixing bugs, Identifying Performance Issues, and Improving App Performance.
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
• Handling complex technical issues related to web app development & discussing solutions with the team.
• Developing, Deploying, and maintaining Multistage, Multi-tier applications.
• To write high-performing code and will be participating in key architectural decisions.
• Project Execution & Client Interaction
• Scrum Implementation

Senior AI/ML Engineer

Location: Gurugram, Haryana

Employment Type: Full-Time

Experience: 5+ Years

About Aaizel Tech

Aaizel Tech is a pioneering tech startup at the intersection of cybersecurity, AI, geospatial solutions, and more. We drive innovation by delivering transformative technology solutions across industries. As part of our dynamic team, you'll gain hands-on experience and learn from experts who are dedicated to pushing the boundaries of what's possible.

Role Overview

As AI/ML Engineer, you will lead the development, deployment, and optimization of advanced AI systems spanning Generative AI, Large Language Models (LLMs), Agentic AI, Computer Vision, and intelligent automation. You will drive innovation, mentor junior engineers, and build scalable, production-ready AI solutions.

Key Responsibilities

AI Development & Research

• Design and develop end-to-end AI/ML solutions using Machine Learning, Deep Learning, and Generative AI techniques.
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• Build solutions involving NLP, Computer Vision, multimodal AI, anomaly detection, and predictive analytics.
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• Develop and optimize LLM-based applications, RAG pipelines, and Agentic AI workflows.
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• Fine-tune and evaluate foundation models, including LLMs and Vision Language Models (VLMs).
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• Research, prototype, and productionize state-of-the-art AI techniques.

Model Optimization & Deployment

• Optimize models for performance, scalability, latency, and real-time inference.
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• Apply model compression techniques such as quantization, pruning, and distillation for edge and cloud deployments.
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• Deploy AI applications using Docker, Kubernetes, and modern model-serving frameworks.
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• Implement MLOps/LLMOps practices, CI/CD pipelines, model versioning, monitoring, and observability.

Collaboration & Leadership

• Collaborate with cross-functional teams to integrate AI capabilities into end-to-end products.
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• Mentor junior engineers, conduct code reviews, and promote engineering best practices.
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• Maintain technical documentation and contribute to architectural decisions.

Preferred Technology Stack

Programming: Python, SQL

AI/ML: PyTorch, TensorFlow, Scikit-learn, Hugging Face, PyTorch Lightning

Generative AI & Agents: LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, DSPy

LLMs & RAG: OpenAI, Gemini, Anthropic APIs, FAISS, Pinecone, Milvus, Qdrant, Weaviate

Computer Vision & Edge AI: OpenCV, ONNX Runtime, TensorRT, OpenVINO, Tesseract OCR

MLOps/LLMOps: Docker, Kubernetes, MLflow, Kubeflow, Weights & Biases, GitLab CI/CD

Cloud: AWS, Azure, GCP

Monitoring: Prometheus, Grafana, LangSmith, Evidently AI

Databases: PostgreSQL, MongoDB, Redis

Required Skills & Qualifications

• 5+ years of experience in AI/ML, Deep Learning, or related domains.
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• Strong proficiency in Python and hands-on experience with PyTorch, TensorFlow, and Hugging Face ecosystem.
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• Experience building LLM applications, RAG systems, and Agentic AI solutions.
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• Strong understanding of Generative AI, Transformers, Prompt Engineering, and modern NLP techniques.
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• Experience in Computer Vision and deploying optimized models in cloud and/or edge environments.
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• Hands-on experience with Docker, Kubernetes, CI/CD pipelines, and cloud platforms.
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• Proven ability to translate research into scalable production systems.
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• Excellent problem-solving, communication, leadership, and mentoring skills.

Education

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.

What We Offer

• Opportunity to work on cutting-edge AI and Generative AI solutions.
• Continuous learning, research, and career growth opportunities.
• Collaborative and innovation-driven work culture.
• Opportunity to build impactful, next-generation AI products.

How to Apply

• Please submit your resume, portfolio, and a cover letter outlining your relevant experience and how you can contribute to Aaizel Tech’s success.

JD : 

Scope of Responsibilities

• Communicate with data providers to source appropriate data content and formats within required timelines.
• Evaluate completeness and accuracy of input data, working closely with internal teams and hedge fund managers.
• Reconcile input data with other data points, clear exceptions/rejects, and perform mapping/modeling of positions.
• Collaborate closely with team members across locations, particularly Mumbai.
• Report progress, metrics, and queue status to management.
• Maintain relationships with fund administrators and hedge funds.
• Support expansion of hedge fund coverage within the transparency business.
• Handle ad-hoc analytical or operational requests as required.

Required Skills and Knowledge

• Strong attention to detail, organization, and adherence to deadlines.
• Effective problem-solving and collaboration skills.
• Financial background with understanding of derivatives, global markets, investment instruments, and risk management.
• High proficiency in Microsoft Excel.
• Experience working with large datasets or market data systems is preferred.
• Derivatives knowledge is a must.

Desired Experience and Qualifications

• 2–3 years of relevant experience; internships in financial investment or data-management roles are a plus.
• Bachelor’s degree in Economics, Business, or Finance.
• Strong English communication skills (verbal and written).
• General knowledge of stocks, bonds, futures, forwards, and options.
• CFA candidacy preferred.
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SKILLS:

1.  Derivatives
2. global markets, investment instruments, and risk management.
3. Data analysis using excel
4. Portfolio Risk analysis & reporting
5. Market data system 
6. Hedge Fund
7. Reconciliation

• Strong CS fundamentals in OOD, DS, Algorithms and Problem Solving for a wide variety of problem spaces and technologies
• Expert coder in any modern language such as Java, Golang or Scala.
• Experience in working with Product and Engineering leaders to drive and implement platform and product vision.
• Ability to leverage deep and wide knowledge of technology stack to recommend appropriate architecture and design solutions, and provide technical leadership to a team of rock star Software Engineers.
• Can translate the impact of design choices on non-functional attributes like scalability, performance, availability and security.
• Experience in providing leadership, career guidance, performance management, prioritization and personnel management for minimum team size of 10.
• Experience creating large-scale, multi-tiered, distributed web applications with databases, and designing web services, APIs, data models and schemas, using SQL or NoSQL.
• Experience with Cloud environments, such as AWS.
• Comfortable in Windows and Linux environments.
• Comfortable with different data storage solutions such as Postgres, Oracle, SQL Server, ElasticSearch, SQL, Hadoop, or MongoDB.
• Experience delivering high quality software following continuous delivery and using code quality tools (JIRA, GitHub, Jenkin, Hudson, Sonar, PMD, Checkstyle, Findbugs, and Fortify etc.)
• Worked in Agile environments previously.
• Good command of development metrics, methodologies and tools.
• Will ensure timely and frequent delivery of high quality software, while adapting technical decisions to the immediate needs of the business.
• Good analytical, problem-solving and troubleshooting skills.
• Can drive adoption of best practices across the Software Engineering Lifecycle, including reviews, source control, build processes, continuous integration and deployment.

Front End Developer – Angular

Front End Developer will be responsible for front end (web) development of our enterprise SaaS applications. You will work with the wireframe/UI Design and bridge the gap between graphical design and technical implementation, taking an active role on both sides and defining how the application looks as well as how it works

Job Responsibilities:

• Development of responsible web application of enterprise SaaS products
• Develop new user-facing features
• Build reusable code and libraries for future use
• Ensure the technical feasibility of UI/UX designs
• Optimize application for maximum speed and scalability
• Assure that all user input is validated before submitting to back-end
• Collaborate with other team members and stakeholders

Qualifications:

• B.E./B.Tech./MCA or equivalent
• 7+ years’ experience as a Software Developer with at least 3+ years in a similar role

• Understanding of the entire web development process, including design, development and deployment, with some back-end knowledge, is important
• Excellent understanding of Angular 5+/React
• Proficient understanding of web mark-up, including HTML5, CSS3, Bootstrap
• Basic understanding of server-side CSS pre-processing platforms, such as LESS and SASS
• Proficient understanding of client-side scripting and JavaScript frameworks, including jQuery
• Good understanding of asynchronous request handling, partial page updates, and AJAX
• Proficient understanding of cross-browser compatibility issues and ways to work around them.
• Proficient understanding of code versioning tools, such as Git, Gitlab, SVN etc

• Good understanding of NodeJs will be a plus.

• Basic knowledge of image authoring tools, to be able to crop, resize, or perform small adjustments on an image. Familiarity with tools such as Gimp or Photoshop is a plus

Responsibilities

• Collaborate with management team to craft the company’s vision and mission
• Develop strategic HR plans and policies (recruitment, training, compensation etc.)
• Hire, guide and evaluate the work of HR executives
• Reporting performance to the CEO by using KPIs and business metrics
• Analyzing the success of HR operations
• Decide and act on initiatives for equal opportunity, diversity etc.
• Assuming responsibility for employee/labor relations with the management
• Re-engineer processes to ensure maximum efficiency
• Ensuring all procedures are in compliance with legal regulations
• Analyze the effectiveness of HR operations and policies
• Prepare reports for the CEO using business metrics and KPIs
• Taking initiatives for ensuring equality in the work environment.
• Must have experience handling big size companies.

• Meeting assigned sales targets
• Management and resolve customer complaints
• Sell insurance/credit cards or loan and handle calls.
• Identify and escalate issues to supervisors
• Provide product and service information to customers
• Research required information using available resources
• Research, identify, and resolve customer complaints using applicable software
• Route calls to appropriate resources
• Document all call information according to standard operating procedures
• Recognize, document, and alert the management team of trends in customer calls
• Follow up customer calls where necessary
• Upsell products and services
• Updates job knowledge by studying new product descriptions; participating in educational opportunities.
• Maintains and improves quality results by adhering to standards and guidelines; recommending improved procedures.
• Complete call logs and reports and other duties as assigned
• Accomplishes sales and organization mission by completing related results as needed.