Senior consultant

Job Title: Associate AI/ML Engineer

Location: Gurugram, Haryana

Employment Type: Full-Time

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 Associate 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:
• 5+ 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.

🚀 Hiring: MERN Stack Developer

⭐ Experience: 3+ Years

📍 Location: Mumbai ( Andheri East)

⭐ Work Mode:- 5 Days Work From Office

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

💡 Interview Mode - Walkin Interview

We are looking for a MERN Stack Developer skilled in MongoDB, Express.js, React.js, and Node.js to build scalable, high-performing web applications.

💫 What We’re Looking For:

✅ Proficiency in React.js, Node.js, Express.js, MongoDB

✅Strong in JavaScript (ES6+), REST APIs, Git

✅Good problem-solving & debugging skills

Job Title: Assistant Manager – Sales (Building Automation Solutions)

Location: Chennai

1. Job Overview

• Responsible for sales and business development of Building Automation Solutions (BAS) & ELV projects.
• Drive revenue growth through client acquisition, relationship management, and technical solution promotion.
• Work closely with clients, consultants, and internal teams to achieve business objectives.

2. Key Responsibilities

Sales & Business Development

• Develop and execute sales strategies for Building Automation Solutions.
• Identify and pursue new business opportunities in target industries.
• Achieve sales targets and contribute to revenue growth.

Client Engagement

• Build and maintain strong client relationships.
• Understand client requirements and propose tailored BAS/ELV solutions.
• Conduct product demonstrations, presentations, and negotiations.

Technical & Project Support

• Provide pre-sales and post-sales technical support to clients.
• Possess strong technical knowledge of BAS, HVAC, and ELV systems.
• Coordinate with project and technical teams for smooth execution.

Market Analysis & Reporting

• Monitor competitor activities, market trends, and customer feedback.
• Prepare periodic sales reports and forecasts for management review.
• Suggest improvements to strengthen market positioning.

3. Qualifications

• Bachelor’s Degree in Instrumentation / Electronics / Automation / related field.
• 8–10 years’ experience in Sales & Marketing of Building Automation Solutions / ELV / HVAC projects.
• Proven track record of project sales and target achievements.

4. Key Skills (Must-Have)

• Sales & Business Development in Building Automation Solutions / ELV projects
• Technical knowledge of BAS, HVAC, Automation Products
• Client Relationship Management
• Pre-Sales & Post-Sales Support
• Excellent Communication & Presentation skills
• Market Analysis & Negotiation

5. Additional Skills (Good-to-Have)

• Knowledge of emerging automation products and technologies.
• Ability to handle large-scale project sales independently.
• Strong networking with consultants, contractors, and system integrators.

6. Benefits

• Competitive salary with attractive incentives/commissions.
• Health insurance and employee benefits.
• Professional growth and learning opportunities.

Job Description: 

Years of Experience:- 5-8 Years

Location: Bangalore

Job Role:- Database Developer

Primary Skill - Database, SQL

Secondary skill - DB2 and Python

Skills:

Main Pointers for Database Developer role.

*Should have strong working experience on any Database like DB2(Good to Have) and SQL OR Oracle/ PL SQL etc.

*Should have working experience on performance tuning

Responsibilities:

• Help define and create Backend architecture and deployment using Python- Django-AWS in an agile environment with lots of ownership and active mentoring

• Work with the Product and Design teams to build new features to solve business problems and fill business needs

• Participate in code reviews to create robust and maintainable code

• Work in an agile environment where quick iterations and good feedback are a way of life

• Interact with other stakeholders for requirement, design discussions and for adoption of new features • Communicate and coordinate with our support and professional services teams to solve customer issues

• Help scale our platform as we expand our product across various markets and verticals globally

As a young, fresh startup, we are hoping to be joined by self-starting, hardworking, passionate individuals who are committed to delivering their best, who can grow into future leaders of FactWise.

Data Semantics 

We are Product base company and Microsoft Partner

Data Semantics is an award-winning Data Science company with a vision to empower every organization to harness the full potential of its data assets. In order to achieve this, we provide Artificial Intelligence, Big Data and Data Warehousing solutions to enterprises across the globe. Data Semantics was listed as one of the top 20 Analytics companies by Silicon India 2018 & CIO Review India 2014 as one of the Top 20 BI companies.  We are headquartered in Bangalore, India with our offices in 6 global locations including USA United Kingdom, Canada, United Arab Emirates (Dubai Abu Dhabi), and Mumbai. Our mission is to enable our people to learn the art of data management and visualization to help our customers make quick and smart decisions. 

Our Services include: 

Business Intelligence & Visualization

App and Data Modernization

Low Code Application Development

Artificial Intelligence

Internet of Things

Data Warehouse Modernization

Robotic Process Automation

Advanced Analytics

Our Products: 

Sirius – World’s most agile conversational AI platform

Serina

Conversational Analytics

Contactless Attendance Management System

Company URL:   https://datasemantics.co 

JD:

.Net

.Net Core

Logic App

SQL

Regards,

Deepu Vijayan | Talent Acquisition

• Starting and stopping SAP instance.
• User administration – setup and maintenance.
• Authorization / Role / Profiles – setup and maintenance.
• Setup SAP security.
• Maintenance of system's health.
• Monitor system performance and logs.
• Spool and print administration.
• Maintain system landscape.

We are looking for an SEO/SEM expert to manage all search engine optimization and marketing activities.

You will be responsible for managing all SEO activities such as content strategy, link building and keyword strategy to increase rankings on all major search networks. You will also manage all SEM campaigns on Google, Yahoo and Bing in order to maximize ROI.

• Execute tests, collect and analyze data and results, identify trends and insights in order to achieve maximum ROI in paid search campaigns
• Track, report, and analyze website analytics and PPC initiatives and campaigns
• Manage campaign expenses, staying on budget, estimating monthly costs and reconciling discrepancies.
• Optimize copy and landing pages for search engine marketing
• Perform ongoing keyword discovery, expansion and optimization
• Research and implement search engine optimization recommendations
• Research and analyze competitor advertising links
• Develop and implement link building strategy
• Work with the development team to ensure SEO best practices are properly implemented on newly developed code
• Work with editorial and marketing teams to drive SEO in content creation and content programming
• Recommend changes to website architecture, content, linking and other factors to improve SEO positions for target keywords.

• Proven SEO experience
• Proven SEM experience managing PPC campaigns across Google, Yahoo and Bing.
• Solid understanding of performance marketing, conversion, and online customer acquisition
• In-depth experience with website analytics tools (e.g, Google Analytics, NetInsight, Omniture, WebTrends)
• Experience with bid management tools (e.g., Click Equations, Marin, Kenshoo, Search Ignite)
• Experience with A/B and multivariate experiments
• Working knowledge of HTML, CSS, and JavaScript development and constraints
• Knowledge of ranking factors and search engine algorithms
• Up-to-date with the latest trends and best practices in SEO and SEM
• BS/MS degree in a quantitative, test-driven field