Bigdata QA Lead

Job Title: Senior AI/ML Engineer/Team Lead

Location: Gurugram, Haryana

Employment Type: Full-Time

Experience: 4-9 Years

CTC: Up to 15LPA

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 a growing startup, we are looking for passionate and versatile professionals eager to work on cutting-edge projects in a dynamic environment.

Role Overview

As a Senior AI/ML Engineer at Aaizel Tech, you will lead the design, development, and deployment of advanced Machine Learning models and AI solutions. You will work on projects ranging from predictive analytics and NLP to computer vision and anomaly detection. You will also mentor a team of AI/ML professionals, collaborate with cross-functional teams, and drive innovation by integrating state-of-the-art research with scalable production systems.

Key Responsibilities

1. Model Development & Optimization

Design & Implementation:

• Architect and develop end-to-end ML solutions for applications such as predictive analytics, anomaly detection, computer vision, and NLP.
• Utilize advanced techniques including deep learning (CNNs, RNNs), reinforcement learning, and generative models (GANs) to address complex challenges.

Optimization:

• Fine-tune model parameters using techniques such as hyperparameter tuning (Grid Search, Bayesian Optimization, Neural Architecture Search).
• Optimize models for both accuracy and inference speed to meet real-time processing requirements.

2. Advanced Data Engineering & Integration

Data Pipeline Development:

• Build robust ETL pipelines using libraries like Pandas, NumPy, and PySpark to process large-scale datasets from satellite imagery, IoT sensors, and real-time streams.
• Integrate data from diverse sources (APIs, databases, big data platforms like Hadoop and Apache Kafka) to support real-time analytics.

Data Quality & Preprocessing:

• Implement data cleansing, feature engineering, and transformation pipelines to ensure high-quality inputs for ML models.

3. Research & Innovation

Algorithm Research:

• Conduct research on state-of-the-art ML techniques including Transfer Learning, Transformer models, and AutoML to enhance model performance.
• Innovate new algorithms for specialized tasks such as geospatial analysis, environmental modeling, or cybersecurity threat detection.

Prototyping & Experimentation:

• Develop proof-of-concept models and prototypes to validate new approaches before production deployment.

4. Deployment, MLOps & Performance Monitoring

Model Deployment:

• Deploy models using containerization (Docker) and orchestration tools (Kubernetes) to ensure scalable and efficient production environments.
• Work with cloud platforms (AWS, Azure, GCP) and model serving solutions (TensorFlow Serving, ONNX, TorchServe) for high-throughput inference.

MLOps & Lifecycle Management:

• Implement CI/CD pipelines for ML models, ensuring seamless updates and versioning.
• Develop monitoring dashboards (using Prometheus, Grafana) to track model performance and trigger retraining based on real-time feedback.

5. Collaboration & Leadership

Cross-Functional Teamwork:

• Collaborate closely with data engineers, software developers, domain experts, and product managers to integrate AI solutions into end-to-end products.

Mentorship & Code Quality:

• Provide technical leadership and mentorship to junior AI/ML engineers, ensuring adherence to coding standards and best practices.
• Participate in code reviews, maintain detailed documentation, and foster a culture of continuous learning.

Recommended Technology Stack

Backend Framework:

• Python (Django/FastAPI): Ideal for API integration, leveraging Python’s rich AI/ML ecosystem.

AI/ML Frameworks:

• PyTorch + Hugging Face Transformers + scikit-learn: For flexibility in research, multilingual NLP tasks, and classical ML pipelines.

Data Engineering:

• Apache Kafka + Apache Spark + Apache NiFi: To handle both real-time data streaming and batch processing.

Database & Storage:

• PostgreSQL with TimescaleDB extension: For structured and time-series data storage.

DevOps & Monitoring:

• Docker, Kubernetes, GitLab CI/CD, Prometheus/Grafana: For containerized deployments, continuous integration, and comprehensive monitoring.

Media Processing:

• OpenCV, FFmpeg, Tesseract OCR, Wav2Vec2: To support image, video, and speech-to-text processing where needed.

Required Skills & Qualifications

Technical Expertise:

• Experience:
• 4+ years in Machine Learning, AI research, or a related field with a proven track record of delivering production-level AI solutions.
• Programming & Frameworks:
• Expertise in Python and hands-on experience with frameworks like PyTorch, TensorFlow, and scikit-learn.
• Experience with Hugging Face Transformers for NLP applications.
• Data Engineering:
• Proficiency in building data pipelines using Pandas, NumPy, PySpark, and integrating data from diverse sources.
• Familiarity with big data platforms and real-time data processing frameworks.
• Model Deployment & MLOps:
• Hands-on experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for ML models.
• Experience with cloud deployment and model serving solutions.
• Research & Innovation:
• Demonstrated ability to apply advanced ML techniques (deep learning, transfer learning, reinforcement learning) to solve real-world problems.
• Testing & Optimization:
• Strong background in model evaluation, hyperparameter tuning, and performance optimization.

Soft Skills:

• Exceptional problem-solving and analytical abilities.
• Strong communication skills, with the ability to present complex technical concepts to diverse stakeholders.
• Leadership and mentoring experience, with a collaborative approach to working in cross-functional teams.
• Ability to thrive in a fast-paced, dynamic environment and drive continuous innovation.

Educational Background:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field from a reputed institution.

What We Offer

• Innovative Projects: Engage in cutting-edge AI/ML projects that influence product strategy and technological innovation.
• Professional Growth: Opportunities for continuous learning, mentorship, and career advancement.
• Collaborative Culture: Work within a diverse team of experts passionate about pushing the boundaries of technology.
• Impactful Work: Play a key role in shaping AI-driven solutions and driving real-world impact.

Join Aaizel Tech as a Senior AI/ML Engineer and lead the development of innovative, scalable AI solutions that transform industries and drive digital excellence!

Job Title : Tech Lead - MERN Stack

Experience : 5+ Years

Location : Mohali

Job Summary :

We are seeking a dynamic Tech Lead - Full Stack (MERN) to spearhead our web development team. The ideal candidate will lead the design, development, and delivery of robust web applications while mentoring team members and ensuring adherence to industry best practices. This is a hands-on role requiring exceptional leadership, technical expertise, and a commitment to driving excellence.

Key Responsibilities :

• Oversee project execution, ensuring adherence to scope, budget, and timelines.
• Make critical technical and product decisions while collaborating with Product Managers and clients.
• Lead and mentor the development team in coding best practices and modern web technologies.
• Design and develop scalable web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js).
• Coordinate cross-functional teams to define project requirements and goals.
• Analyze resource needs, assess project feasibility, and create detailed project plans.
• Represent the team in planning meetings and provide technical guidance to stakeholders.
• Stay updated on industry trends, challenges, and new technologies to enhance team performance.
• Participate in hiring and onboarding new team members.

Required Skills and Qualifications :

• Bachelor’s degree in Computer Science or a related field.
• Proven experience as a Full Stack Developer with expertise in the MERN stack.
• Previous experience in a leadership or technical lead role.
• Strong understanding of the software development lifecycle (SDLC) and Agile methodologies.
• Excellent problem-solving, communication, and interpersonal skills.
• Team handling experience is essential.
• Ability to balance hands-on coding with leadership responsibilities.

Why Join Us?

• Be part of a forward-thinking and collaborative team.
• Work on exciting and innovative projects with the latest technologies.
• Contribute to shaping the technical vision of the company.

Position: Android Developer

Experience: 3+ - 10 Years

Location: Mumbai

Employment Type: Full-Time

About the Role

We are looking for a highly skilled and experienced Senior Android Developer to join our team. The ideal candidate will have extensive experience in Android application and SDK development, proficiency in AIDL (Android Interface Definition Language), and expertise in creating scalable and modular applications using multi-module architecture and MVVM (Model-View-ViewModel) patterns.

Key Responsibilities

• Design, develop, and maintain robust Android SDKs and libraries.
• Collaborate with cross-functional teams to define, design, and ship new SDK features.
• Implement and manage inter-process communication using AIDL.
• Develop and maintain services and background processes for seamless application functionality.
• Architect scalable multi-module Android applications with proper separation of concerns.
• Utilize the MVVM architecture for clean, testable, and maintainable code.
• Optimize application performance and memory usage.
• Write clean, well-documented, and efficient code while adhering to industry standards.
• Perform code reviews, provide mentorship, and ensure best practices are followed across the development team.
• Debug and resolve issues, ensuring application stability and reliability.
• Stay updated on the latest Android development trends, tools, and frameworks.

Key Skills and Qualifications

• 3-7+ years of professional Android development experience.
• Proven experience in building and maintaining Android SDKs.
• Strong understanding and hands-on experience with AIDL.
• Proficient in Android services, background tasks, and inter-process communication.
• Expertise in multi-module architecture for Android applications.
• Strong understanding of MVVM architecture and data binding.
• Solid knowledge of Android design principles, patterns, and best practices.
• Experience with testing frameworks (e.g., JUnit, Mockito) for unit and integration testing.
• Proficiency with tools like Git, Gradle, and Android Studio.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred Qualifications

• Familiarity with CI/CD pipelines for Android projects.
• Knowledge of Kotlin Coroutines and Flow.
• Exposure to performance monitoring and optimization tools.
• Contributions to open-source projects or Android developer communities.
• Experience with Jetpack libraries and Compose. 

Salesforce Technical Architect with omni studio experience

Exp - 10+ yrs

Location - Remote

Job DescripƟon: ResponsibiliƟes:

 Lead the design and implementaƟon of Salesforce soluƟons tailored to Provider Network

Management.

 Collaborate with stakeholders to gather and analyze business requirements, translaƟng them

into technical specificaƟons.

 Should work as liaison/connector among external stakeholder (Providers), Internal

(Business/Sales/Market) and Technical teams (Dev/QA/BSA).

 Develop and maintain comprehensive documentaƟon, including soluƟon design,

configuraƟon, and user guides.

 Ensure the scalability and performance of Salesforce soluƟons, opƟmizing for efficiency and

effecƟveness.

 Provide expert guidance on Salesforce best pracƟces, ensuring compliance with industry

standards and regulaƟons.

 Conduct regular system audits and prepare for Salesforce releases, ensuring seamless

integraƟon and minimal disrupƟon.

 Mentor and train junior team members, fostering a culture of conƟnuous learning and

improvement.

QualificaƟons:

 10+ years of experience in Salesforce implementaƟon.

 Strong Omnistudio Exp is must.

 Proven experience as a Salesforce Architect, with a focus on Provider Network Management.

 Very strong knowledge in Provider domain (provider contracƟng with Payor – RecruiƟng,

CredenƟaling, ContracƟng, Onboarding & Ongoing)

 In-depth knowledge of Salesforce Health Cloud and related technologies.

 Strong understanding of healthcare industry standards, including HIPAA and HL7.

 Excellent problem-solving skills and the ability to work independently and as part of a team.

 ExcepƟonal communicaƟon and interpersonal skills, with the ability to interact effecƟvely

with stakeholders at all levels.

 Salesforce cerƟficaƟons

(e.g., Salesforce CerƟfied Technical Architect, Salesforce CerƟfied

Health Cloud Consultant) are highly desirable.

Good-to-have Skills:

 Experience with integraƟon tools such as MuleSoŌ.

 Familiarity with Agile methodologies and project management tools like ADO (Azure Devops)

 Knowledge of data migraƟon and ETL processes.

 Ability to stay current with the latest Salesforce updates and industry trends.

Company Profile:

We are a curated marketplace where we connect potential pet parents with responsible breeders Pan-India to provide healthy and purebred pets alongside pet care guidance and pet supplies and services making us a complete pet ecosystem. Mr n Mrs pet rose to be a modern pet solution backed by a strong network of responsible breeders spread across Pan-India along with a team of Pet-parents and Pet-lovers who passionately contribute to making pets’ lives better. Our promise was to provide Healthy and Happy pets along with pet care assistance in all aspects of pet parenting and that’s how we have built Mr n Mrs Pet to be a complete pet ecosystem since 2016.

Requirements:

• Relevant experience in E-com.
• Solid understanding of performance marketing, conversion, and online customer acquisition.
• Expert-level analytical and problem-solving skills, including using measurement and analysing large datasets to gain insights and drive business decision.
• Ability to think strategically.
• Demonstrated ability to lead product and merchandising decision-making and customer user journey optimization.
• Ability to execute high level sales volume.
• Demonstrates strong motivation and team building skills.
• Stay up to date on latest SEO trends and technical/algorithm search engine updates.

Responsibilities:

• Create content recommendations to gain organic traffic
• Track, report, and analyse website analytics
• Work with client development teams to ensure that SEO best practices
• Work with client teams to drive SEO in content creation and development.
• Consistently improve the customer journey and optimize the conversion rate throughout website through close collaboration with the design.
• Maximize revenue through diligent management of the products/categories/campaigns across the website.
• Maintain a strong market knowledge of sector rivals and trends to influence the delivery of the best and most profitable offering on the website.
• Collaborate with content/copy teams to provide keywords and phrases for optimal SEO performance of published content across all channels.
• Analyse and report lead provider/Lead aggregator performance to increase sales.

Responsibilities

• Receive calls, emails, trip feedback, and send an initial response within the SLA’s.
• Document all information according to standard operating procedures
• Categorize the request/Label it according to SOP (Type and Criticality)
• Identify the RCA (Root cause analysis) and the action items and document it in the internal note. This will help in breaking the issue into smaller parts and understand the cause for it. Guidelines for identification of RCA are present in the SOP
• Follow up with the owner with the result of RCA to identify the action items.
• Respond back to the employee with the best possible solution.
• Monitor the resolution for a day (if required) and then close the ticket. 
• Quality check for every call will be done on a real time basis.

Required Technical Skills: 

• Java (highly capable)
• SQL (highly capable)
• Strong knowledge of software best practices, build processes, IDEs, database tools (e.g. SQL Developer, SQL Management Studio)
• Strong knowledge of source code control systems (GIT)
• Confident with Windows, Linux, Unix operating systems including command line
• Working knowledge of JIRA

Beneficial Technical Skills: 

• .Net
• C 
• Javascript 
• Experience in test management and test execution
• Experience of Agile development methods

Additional Skills and Behaviour Required 

• Experience of full software development lifecycle
• Considers competing solutions and evaluates options to create the best outcome in all aspects of the role.
• Willingness to takes ownership of whole project and engineers assigned.
• Confident to make suggestions and recommendations for improvements.
• Excellent written and verbal communication skills and ability to build good rapport
• Fluency in English, both written and oral
• Collaborates with others to achieve objectives and ensure information flow
• Seeks assistance and feedback as appropriate 

Education 

• Bachelor's degree (or equivalent) in Computer Science or Engineering or other relevant discipline (MCA, MSc in Computer Science etc.)