Data analyst (ETL Pipeline)

Job Description: Machine Learning Engineer – LLM, Agentic AI, Computer Vision, and MLOps

Location: Ahmedabad

Experience: 4 to 6 years

Employment Type: Full-Time

About Us

Join a forward-thinking team at Tecblic, where innovation meets cutting-edge technology. We specialize in delivering AI-driven solutions that empower businesses to thrive in the digital age. If you're passionate about LLMs, Computer Vision, MLOps, and pushing the boundaries of Agentic AI, we’d love to have you on board.

Key Responsibilities

• Research and Development: Design, develop, and fine-tune machine learning models across LLM, computer vision, and Agentic AI use cases.
• Model Optimization: Fine-tune and optimize pre-trained models, ensuring performance, scalability, and minimal latency.
• Computer Vision: Build and deploy vision models for object detection, classification, OCR, and segmentation.
• Integration: Work closely with software and product teams to integrate models into production-ready applications.
• Data Engineering: Develop robust data pipelines for structured, unstructured (text/image/video), and streaming data.
• Production Deployment: Deploy, monitor, and manage ML models in production using DevOps and MLOps practices.
• Experimentation: Prototype and test new AI approaches such as reinforcement learning, few-shot learning, and generative AI.
• DevOps Collaboration: Collaborate with the DevOps team to ensure CI/CD pipelines, infrastructure-as-code, and scalable deployments are in place.
• Technical Mentorship: Support and mentor junior ML and data engineers.

Requirements

Core Technical Skills

• Strong Python skills for machine learning and computer vision.
• Hands-on experience with PyTorch, TensorFlow, Hugging Face, Scikit-learn, OpenCV.
• Deep understanding of LLMs (e.g., GPT, BERT, T5) and Computer Vision architectures (e.g., CNNs, Vision Transformers, YOLO, R-CNN).
• Strong knowledge of NLP tasks, image/video processing, and real-time inference.
• Experience in cloud platforms: AWS, GCP, or Azure.
• Familiarity with Docker, Kubernetes, and serverless deployments.
• Proficiency in SQL, Pandas, NumPy, and data wrangling techniques.

DevOps & MLOps Skills

• Experience with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, etc.
• Knowledge of Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Pulumi.
• Familiarity with container orchestration and Kubernetes-based ML model deployment.
• Hands-on experience with ML pipelines and monitoring tools: MLflow, Kubeflow, TFX, or Seldon.
• Understanding of model versioning, model registry, and automated testing/validation in ML workflows.
• Exposure to observability and logging frameworks (e.g., Prometheus, Grafana, ELK stack).

Additional Skills (Good to Have)

• Knowledge of Agentic AI systems and use cases.
• Experience with generative models (e.g., GANs, VAEs) and RL-based architectures.
• Prompt engineering and fine-tuning for LLMs in specialized domains.
• Working with vector databases (e.g., Pinecone, FAISS, Weaviate).
• Distributed data processing using Apache Spark, Dask.

General Skills

• Strong foundation in mathematics, including linear algebra, probability, and statistics.
• Deep understanding of data structures and algorithms.
• Comfortable handling large-scale datasets, including images, video, and multi-modal data.

Soft Skills

• Strong analytical and problem-solving mindset.
• Excellent communication skills for cross-functional collaboration.
• Self-motivated, adaptive, and committed to continuous learning.

About the Role

We are seeking an experienced Data Operations Lead to oversee and manage the data operations team responsible for data analysis, query development, and data-driven initiatives. This role plays a key part in ensuring the effective management, organization, and delivery of high-quality data across projects while driving process efficiency, data accuracy, and business impact.

Key Responsibilities

• Lead and mentor the Data Operations team focused on data collection, enrichment, validation, and delivery.
• Define and monitor data quality metrics, identify discrepancies, and implement process improvements.
• Collaborate with Engineering for data integration, automation, and scalability initiatives.
• Partner with Product and Business teams to ensure data alignment with strategic objectives.
• Manage vendor relationships for external data sources and enrichment platforms.
• Promote automation using tools such as SQL, Python, and BI platforms.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Analytics, Information Systems, or related field.
• 6–12 years of experience in data operations, management, or analytics, with at least 4 years in a leadership capacity.
• Strong understanding of data governance, ETL processes, and quality control frameworks.
• Proficiency with SQL, Excel/Google Sheets, and data visualization tools.
• Exposure to automation and scripting (Python preferred).
• Excellent communication, leadership, and project management skills.
• Proven ability to manage teams and maintain high data quality under tight deadlines.

Preferred Skills

• Experience in SaaS, B2B data, or lead intelligence environments.
• Familiarity with GDPR, CCPA, and data privacy compliance.
• Ability to work effectively in cross-functional and global teams.

About the Company

We are a leading revenue intelligence platform that combines advanced automation with a dedicated research team to achieve industry-leading data accuracy. Our platform offers millions of verified contact and company records, continuously re-verified to ensure reliability. With a commitment to quality, scalability, and exceptional customer experience, we empower organizations to make smarter, data-driven decisions.

We pride ourselves on a diverse, growth-oriented workplace that values continuous learning, collaboration, and excellence. Our team members enjoy competitive benefits, including paid leaves, bonuses, incentives, medical coverage, and training opportunities.

* Bachelor's degree in computer science or related fields preferred.

* 7+ years' experience as a Quality Assurance Engineer / Quality

Analyst.

* Strong proficiency in manual and automation testing.

* Hands-on experience with JavaScript for test automation.

* Familiarity with JMeter for API testing.

* Basic knowledge of SQL and database concepts.

* Excellent analytical, problem-solving, and communication skills.

* Ability to work independently and collaboratively in a team

environment.

* Experience with CI/CD tools (e.g., Jenkins, GitHub Actions).

* Familiarity with Agile and Scrum methodologies

Performance testing and jmeter - must have skills

Key Responsibility Areas (KRA) – HR Generalist

1. Recruitment & Onboarding

• Coordinate end-to-end recruitment processes (job postings, sourcing, screening, interviews, offers).
• Liaise with hiring managers to define role requirements and selection criteria.
• Conduct reference checks and background verifications.
• Ensure smooth onboarding and orientation of new hires.

2. Employee Engagement

• Develop and implement employee engagement activities and initiatives.
• Conduct periodic employee feedback surveys and support action planning.
• Organize team-building and recognition events to foster a positive workplace culture.

3. HR Operations & Compliance

• Maintain employee records and HRIS data accurately and confidentially.
• Prepare employment letters, contracts, and documentation.
• Ensure compliance with labor laws and internal policies.
• Assist in audits and statutory reporting.

4. Performance Management

• Support the implementation and monitoring of performance appraisal systems.
• Coordinate performance review cycles and assist managers with evaluation processes.
• Track and report on performance trends and support interventions as needed.

5. Training & Development

• Identify training needs in consultation with managers and teams.
• Coordinate training programs, track participation, and evaluate effectiveness.
• Maintain a calendar of learning and development activities.

6. Payroll & Benefits Administration

• Assist in payroll preparation by collecting and verifying attendance and leave records.
• Handle employee queries related to salaries, benefits, and deductions.
• Support administration of insurance, PF, ESI, and other statutory benefits.

7. Employee Relations

• Act as a point of contact for employee concerns and grievances.
• Ensure timely resolution and escalate issues where necessary.
• Promote a harmonious and inclusive workplace environment.

Position Overview:

We are looking for a React Native Developer with 1-2 years of experience in developing mobile applications. The ideal candidate should have a solid understanding of JavaScript, TypeScript, and React Native, along with a keen interest in building high-quality, scalable mobile applications.

Key Responsibilities:

• Develop and maintain cross-platform mobile applications using React Native.
• Work closely with designers, product managers, and backend developers to deliver seamless user experiences.
• Integrate third-party services such as Google Maps, Firebase, and payment gateways.
• Optimize applications for performance, responsiveness, and scalability.
• Work with RESTful APIs for backend integration.
• Debug and troubleshoot application issues to ensure a smooth user experience.
• Stay updated with the latest React Native features and industry trends.

Required Skills:

• 1-2 years of hands-on experience in React Native mobile app development.
• Proficiency in JavaScript, TypeScript, and React Hooks.
• Experience in mobile UI development, animations, and responsiveness.
• Familiarity with iOS (Xcode) and Android (Android Studio) environments.
• Experience integrating APIs, Firebase, push notifications, and authentication mechanisms.
• Knowledge of Git and Agile methodologies.
• Strong problem-solving skills and a collaborative mindset.

ROLE: Full Stack Developer

About the company:

CogniTensor is an analytical software company that brings data to the heart of decision-making. CogniTensor leverages its product, DeepOptics - an integrated platform  to implement 3A (Automation, Analytics and AI) at scale. 

Cognitensor has customers ranging in Finance, Energy, Commodity, Retail & Manufacturing. More details can be found on our website: https://www.cognitensor.com/

Our strategic investors include Shell and CIIE.CO (IIM-A/Accenture).

Qualification & Experience:

• BE/B.Tech Degree in Computer Programming, Computer Science, or a related field.
• +2 years experience as a Software Developer.
• Hands on experience in developing finance applications is must

Roles & Responsibilities:

We are looking for a Full Stack Developer to produce scalable software solutions. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment. 

As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility. Along with familiar with Agile methodologies and testing skills

• Work with development teams and product managers to ideate software solutions
• Design client-side and server-side architecture
• Develop and manage well-functioning databases and applications
• Write effective APIs
• Write technical documentation
• Excellent communication and teamwork skills

Technical Skills:

Must Have

• React JS
• Git / Bitbucket, 
• Express JS, Python, HTML, CSS, Node JS
• CI/CD like CircleCI
• Postgres or any DB knowledge
• Familiarity with AWS  or Azure or both 

Good to Have

• Docker
• Redux
• Android development
• React Native
• Electron
• GraphQL
• Jira

What’s in for you:

● An opportunity to lead a business segment

● Extensive liaising with customers and partners

● A rewarding career progression

Preferred Location:

Delhi NCR

Safety Connect is a growing company in the domain of field force and road safety.

We are looking for a high-energy and dynamic Inside Sales Representative to join our growing team and fix quality meetings with potential customers. This role will be responsible for servicing outbound sales with a focus on generating, qualifying, and engaging all prospective clients. This role is one of the first touchpoints for prospects and has the opportunity to set the tone for the sales cycle.  

This position requires outbound cold calling, emailing, qualification, and tight collaboration with the Business Development Manager (BDM) to generate new opportunities.  

Roles and Responsibilities:

• Primary responsibility would be to generate demand and move leads through the pipeline and convert them into sales-qualified leads.

• Respond, engage and qualify inbound leads and inquiries. 

• Develop and execute a strong prospecting plan of attack, including email and call scripts. 

• Quickly learns about the product, effectively communicate the value proposition and be able to respond to objections.

• Follow-up on leads and provide appropriate information to foster relationships.

• Educate leads on our product and nurture them until they are qualified and ready to talk with BDM. 

• Schedule meetings and demos for BDM.  

Requirements /Qualifications: 

• Exceptional communication skills (both verbal and written). 

• Self-motivated with diligent work ethic, Experience with CRM applications.

• Data-driven mindset.

• 1-2 years of experience as an Inside Sales Representative in SaaS/ B2B.

• Bachelor’s degree or equivalent required.

• Previous experience leading outsourced engineering teams required
• Previous experience working with US leadership team, US customers and US-based vendors and service providers
• Understanding of full-stack .NET is a must
• Experience with Angular front-end frameworks and tools
• Experience with database systems and data modeling (RDBMS, SQL, NoSQL)
• Experience with designing and building integrations using REST and SOAP web services.
• Experience with test-driven development.

• Experience with micro-service architecture, Docker, and Azure preferred 
• Experience with Machine Learning modeling, training and algorithm development preferred 
• Experience with data labeling to be used for machine learning purposes 
• SOC 1/2/3 and other attestation engagements 
• Cybersecurity Risk and Gap Assessments 
• Knowledge of vulnerability assessment and penetration testing technologies, as well as incident response, host and network forensic technologies 

• 12+ years of industry experience 
• 7+ years in Software Development 
• Experience with Vendor Management, Stakeholder management 
• Experience managing distributed team (Off-shore/on-shore model) 
• Excellent Delivery management skills 
• Excellent communication and problem-solving skills