AI/Agentic AI Engineer - Immediate Joiners

We are looking for a dynamic and talented digital marketing candidate for our company

SC lines Shipping and Logistics Pvt ltd

LOCATION- Belapur, Navi Mumbai

Salary – 35000 to 40000

Experience – 2 to 4 years of experience in Digital Marketing

Required Skills -

Digital Marketing

Meta Marketing

Google Adson

LinkedIn Marketing

Youtube Marketing

Note – If the candidate is from shipping line would be an added advantage

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 Description:

We are looking for a skilled Ethical Hacker (Penetration Tester) who will be responsible for identifying vulnerabilities in systems, networks, and applications before malicious hackers can exploit them. The role involves conducting security assessments, penetration testing, and recommending security improvements to strengthen the organization’s cybersecurity posture.

Key Responsibilities

·      Conduct penetration testing on web applications, mobile applications, APIs, and networks.

·      Identify security vulnerabilities and weaknesses in systems and infrastructure.

·      Perform vulnerability assessments using automated tools and manual techniques.

·      Simulate cyberattacks to evaluate the effectiveness of existing security measures.

·      Prepare detailed security reports highlighting risks, vulnerabilities, and remediation strategies.

·      Collaborate with development, DevOps, and IT teams to fix security gaps.

·      Ensure compliance with security standards and frameworks such as OWASP, ISO 27001, and NIST.

·      Conduct security audits and risk assessments across digital platforms.

·      Stay updated on the latest hacking techniques, security vulnerabilities, and cyber threats.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or related field.
• 4+ years of experience in ethical hacking, penetration testing, or cybersecurity.
• Strong knowledge of network security, system security, and application security.
• Experience with security tools such as:
• Burp Suite
• Metasploit
• Nmap
• Wireshark
• Kali Linux
• Knowledge of OWASP Top 10 vulnerabilities.
• Understanding of Linux, Windows, and cloud security environments.
• Strong analytical and problem-solving skills.

Preferred Certifications

• CEH (Certified Ethical Hacker)
• OSCP (Offensive Security Certified Professional)
• CompTIA Security+
• CISSP (optional but valuable)

Key Competencies

• Cybersecurity risk assessment
• Vulnerability management
• Penetration testing methodologies
• Incident response awareness
• Strong documentation and reporting skills

Nice to Have

• Experience in cloud security (AWS, Azure, GCP)

We are seeking an experienced and visionary Product Strategist to lead the strategic planning and positioning of our products in the market. The ideal candidate will be responsible for identifying market opportunities, aligning product development with business goals, and delivering customer-centric solutions that drive growth and innovation.

Key Responsibilities:

• Develop and communicate clear product strategies aligned with business objectives and market needs.
• Conduct market research, competitor analysis, and trend forecasting to identify growth opportunities.
• Collaborate with cross-functional teams including Product Management, Marketing, Sales, and Engineering to ensure alignment on strategy and execution.
• Define product vision, positioning, value propositions, and go-to-market plans.
• Analyze customer insights and user feedback to inform product direction and improvements.
• Create strategic roadmaps, product lifecycle plans, and innovation pipelines.
• Work with data analytics teams to assess product performance and recommend strategic pivots when needed.
• Advocate for user needs while balancing business and technical constraints.

Requirements:

• Bachelor’s or Master’s degree in Business, Marketing, Product Management, or a related field.
• 4+ years of experience in product strategy, product management, or business strategy, preferably in a tech-driven environment.
• Proven ability to build and execute successful product strategies and roadmaps.
• Strong analytical and problem-solving skills, with a data-driven mindset.
• Excellent communication and storytelling abilities to articulate product vision and strategy to stakeholders.
• Experience working with agile teams and frameworks.
• Familiarity with tools such as Jira, Confluence, Productboard, Aha!, or similar platforms.

Responsibilities:

• Develop, in consultation with the Head of Marketing, quarterly marketing campaign calendar for assigned product line(s).
• Responsible for execution of the approved marketing calendar.
• Collect and report data on the efficacy of the different marketing campaigns.
• Work with partners (visual designer, content writer, etc.) to develop the required collateral.
• Investigate, evaluate and propose unexplored channels to increase the reach and efficiency of the marketing efforts.
• Occasionally, represent the company at on-ground or digital events - trade shows, conferences, etc.

Prior experience:

• Current 2-3 years as a full time marketer (not as a sales or pre sales or telesales professional who developed some collateral). Overall professional experience, ideally, up to 5 years.
• Exposure to social media advertising is necessary; specifically, hands-on experience of having set up, tracked and optimized LinkedIn campaigns.
• Should/could have worked either for a product principal or an advertising agency.
• B2B marketing experience is a definite plus. 

Skills/Other Requirements

• Native-level verbal and written English language proficiency.
• Willingness to regularly, if not daily, work from the Bangalore office

Shvasa is a yoga startup focussed on taking authentic yoga practices from India to the western world.

We are a team of internet entrepreneurs who love yoga as much as we love science.

Our vision is to lighten thw load of humanity one breath at a time.

The real pandemic in the world is stress, anxiety, and procrastination. Yoga has all the tools which if practiced consistently can help you reach your highest potential. Here we bring the best teachers on our platform and give them all the tools necessary to make a practitioner's journey easy and super effective.

We are a small team of calm and passionate folks who would want like-minded people, who share the love for yoga and also are the best in their respective specializations, to join our team.



• Handle the dual role of being the face of the brand to the customers, and the voice of the customer to the company.
• Handling customer queries related to Shvasa's products, brand, sales, payments and other related topics.
• Own the Live chat feature and inbound customer calls
• Identify and assess customers' needs to achieve satisfaction
• Build sustainable relationships and trust with customer accounts through open and interactive communication
• Create and present reports as required.
• Provide internal teams with constant feedback to improve products and processes as per valid customer needs.

Key skills required

• Proven customer support experience or experience as a client service representative
• Exposure to US customers, with excellent oral and written communication skills in English.
• Ability to independently handle queries, proactively update one's own knowledge by keeping in touch with other stakeholders.
• A customer focussed mindset with the sensitivity to handle complex queries and escalations as well.
• Ability to work in fast paced and high pressure environment
• Ability to problem solve, multi-task, prioritize, and manage time effectively Note: This is a night shift role.

Responsibilities:

1. Identify and research new business opportunities and potential clients.
2. Support the implementation of business development and marketing strategies.
3. Conduct market research to understand trends, competitors, and customer needs.
4. Generate leads through various channels, including email, phone, social media, and events.
5. Collaborate with sales and marketing teams to create engaging content and promotional materials.
6. Attend business meetings, conferences, and events to network with potential clients.
7. Maintain accurate records of business development and marketing activities.
8. Provide regular progress reports and updates to the team.
9. Stay up-to-date with industry trends and best practices.

Qualifications:

• Pursuing or recently completed a degree in Business, Marketing, Sales, or a related field.
• Ability to work independently and within a team in a fast-paced environment.
• Strong organizational skills with the ability to prioritize and manage multiple tasks.
• Proficient in Microsoft Office Suite; familiarity with CRM software is a plus.

Job Description

1. Solid technical skills with a proven and successful history working with data at scale and empowering organizations through data
2. Big data processing frameworks: Spark, Scala, Hadoop, Hive, Kafka, EMR with Python
3. Advanced experience and hands-on architecture and administration experience on big data platforms

Striim (pronounced “stream” with two i’s for integration and intelligence) was founded in 2012 with a simple goal of helping companies make data useful the instant it’s born.

Striim’s enterprise-grade, streaming integration with intelligence platform makes it easy to build continuous, streaming data pipelines – including change data capture (CDC) – to power real-time cloud integration, log correlation, edge processing, and streaming analytics.

Strong Core Java / C++ experience

·       Excellent understanding of Logical ,Object-oriented design patterns, algorithms and data structures.

·       Sound knowledge of application access methods including authentication mechanisms, API quota limits, as well as different endpoint REST, Java etc

·       Strong exp in databases - not just a SQL Programmer but with knowledge of DB internals

·       Sound knowledge of Cloud database available as service is plus (RDS, CloudSQL, Google BigQuery, Snowflake )

·       Experience working in any cloud environment and microservices based architecture utilizing GCP, Kubernetes, Docker, CircleCI, Azure or similar technologies

·       Experience in Application verticals such as ERP, CRM, Sales with applications such as Salesforce, Workday, SAP  < Not Mandatory - added advantage >

·       Experience in building distributed systems  < Not Mandatory - added advantage >

·       Expertise on Data warehouse < Not Mandatory - added advantage >

·       Exp in developing & delivering product as SaaS i< Not Mandatory - added advantage