Sales Manager

MANDATORY:

• Super Quality Data Architect, Data Engineering Manager / Director Profile
• Must have 12+ YOE in Data Engineering roles, with at least 2+ years in a Leadership role
• Must have 7+ YOE in hands-on Tech development with Java (Highly preferred) or Python, Node.JS, GoLang
• Must have strong experience in large data technologies, tools like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto etc.
• Strong expertise in HLD and LLD, to design scalable, maintainable data architectures.
• Must have managed a team of at least 5+ Data Engineers (Read Leadership role in CV)
• Product Companies (Prefers high-scale, data-heavy companies)

PREFERRED:

• Must be from Tier - 1 Colleges, preferred IIT
• Candidates must have spent a minimum 3 yrs in each company.
• Must have recent 4+ YOE with high-growth Product startups, and should have implemented Data Engineering systems from an early stage in the Company

ROLES & RESPONSIBILITIES:

• Lead and mentor a team of data engineers, ensuring high performance and career growth.
• Architect and optimize scalable data infrastructure, ensuring high availability and reliability.
• Drive the development and implementation of data governance frameworks and best practices.
• Work closely with cross-functional teams to define and execute a data roadmap.
• Optimize data processing workflows for performance and cost efficiency.
• Ensure data security, compliance, and quality across all data platforms.
• Foster a culture of innovation and technical excellence within the data team.

IDEAL CANDIDATE:

• 10+ years of experience in software/data engineering, with at least 3+ years in a leadership role.
• Expertise in backend development with programming languages such as Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS.
• Proficiency in SQL, Python, and Scala for data processing and analytics.
• Strong understanding of cloud platforms (AWS, GCP, or Azure) and their data services.
• Strong foundation and expertise in HLD and LLD, as well as design patterns, preferably using Spring Boot or Google Guice
• Experience in big data technologies such as Spark, Hadoop, Kafka, and distributed computing frameworks.
• Hands-on experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery
• Deep knowledge of data governance, security, and compliance (GDPR, SOC2, etc.).
• Experience in NoSQL databases like Redis, Cassandra, MongoDB, and TiDB.
• Familiarity with automation and DevOps tools like Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana, and ELK.
• Proven ability to drive technical strategy and align it with business objectives.
• Strong leadership, communication, and stakeholder management skills.

PREFERRED QUALIFICATIONS:

• Experience in machine learning infrastructure or MLOps is a plus.
• Exposure to real-time data processing and analytics.
• Interest in data structures, algorithm analysis and design, multicore programming, and scalable architecture.
• Prior experience in a SaaS or high-growth tech company.

Location: Bangalore

Experience: 2-5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most companies think HR is about policies.

It isn’t.

It’s about building a system where great people join, stay, perform, and scale.

We are at a stage where hiring, performance, and culture cannot depend on founders anymore.

This role exists to build a repeatable, investor-grade people engine.

What you’ll do

You will not “manage HR.”

You will design and run the operating system for people.

1. Build a high-performance hiring engine

• Own hiring across functions (engineering, GTM, ops)
• Design structured hiring processes (scorecards, interview loops, decision frameworks)
• Ensure quality of hire improves over time, not just speed
• Build pipelines for leadership hiring (not just execution roles)

2. Design compensation & ownership frameworks

• Build clear, defensible compensation bands
• Create an ESOP framework aligned with long-term value creation
• Ensure all comp decisions can withstand Series A investor scrutiny

3. Create a world-class onboarding system

• Design onboarding that drives productivity in weeks, not months
• Standardize onboarding playbooks across roles
• Track onboarding success through measurable outcomes

4. Own performance management

• Design and run performance review cycles
• Create clarity on:
• What good looks like
• How performance is measured
• How decisions are made (promotions, exits, rewards)
• Enable managers to run high-quality performance conversations

5. Build team health & operating rhythm

• Own:
• Leave management
• Team well-being
• Feedback loops
• Identify early signals of:
• Burnout
• Misalignment
• Performance drift
• Intervene before problems become visible

6. Develop leadership pipeline

• Identify and hire future leaders
• Work with founders to define leadership expectations
• Build succession depth across teams

7. Create an intern-to-full-time talent engine

• Design structured intern programs
• Train interns into deployable talent
• Build a bench of pre-trained candidates ready for rapid hiring

What success looks like

• Hiring becomes predictable, high-quality, and fast
• New hires become productive within weeks
• Compensation and ESOP structures are clear and defensible
• Performance reviews are objective and trusted
• Team health issues are caught early and resolved
• There is always a ready talent pipeline (interns + leadership)

Who you are

• You have 2-5 years of experience in people operations / talent
• You have built or scaled hiring and people systems, not just executed processes
• You think in systems and frameworks, not policies
• You are comfortable working closely with founders and influencing decisions
• You care deeply about performance, not just culture optics

What will make you stand out

• Experience in high-growth startups (Series A/B stage)
• Designed comp/ESOP frameworks from scratch
• Built structured hiring and performance systems
• Worked on leadership hiring and org design
• Can combine data + judgment in people decisions

Why join

• You will build the people foundation of a scaling company
• Your work directly impacts team quality, speed, and culture
• You will operate close to leadership and influence core decisions

What this role is not

• Not an admin or policy management role
• Not limited to payroll, compliance, or coordination
• Not reactive HR support

What this role is

• A builder of systems
• A guardian of talent quality
• A multiplier of team performance

We are seeking a talented AI/ML Engineer with strong hands-on experience in Generative AI and Large Language Models (LLMs) to join our Business Intelligence team. The role involves designing, developing, and deploying advanced AI/ML and GenAI-driven solutions to unlock business insights and enhance data-driven decision-making.

Key Responsibilities:

• Collaborate with business analysts and stakeholders to identify AI/ML and Generative AI use cases.

• Design and implement ML models for predictive analytics, segmentation, anomaly detection, and forecasting.

• Develop and deploy Generative AI solutions using LLMs (GPT, LLaMA, Mistral, etc.).

• Build and maintain Retrieval-Augmented Generation (RAG) pipelines and semantic search systems.

• Work with vector databases (FAISS, Pinecone, ChromaDB) for embedding storage and retrieval.

• Develop end-to-end AI/ML pipelines from data preprocessing to deployment.

• Integrate AI/ML and GenAI solutions into BI dashboards and reporting tools.

• Optimize models for performance, scalability, and reliability.

• Maintain documentation and promote knowledge sharing within the team.

Mandatory Requirements:

• 4+ years of relevant experience as an AI/ML Engineer.

• Hands-on experience in Generative AI and Large Language Models (LLMs) – Mandatory.

• Experience implementing RAG pipelines and prompt engineering techniques.

• Strong programming skills in Python.

• Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn).

• Experience with vector databases (FAISS, Pinecone, ChromaDB).

• Strong understanding of SQL and database systems.

• Experience integrating AI solutions into BI tools (Power BI, Tableau).

• Strong analytical, problem-solving, and communication skills. Good to Have

• Experience with cloud platforms (AWS, Azure, GCP).

• Experience with Docker or Kubernetes.

• Exposure to NLP, computer vision, or deep learning use cases.

• Experience in MLOps and CI/CD pipelines

Roles and Responsibilities:

Perform detailed feature requirements analysis along with a team of Senior Developers, 

define system functionality, work on system design and document the same

● Design/Develop/Improve Cogno AI’s backend infrastructure and stack and build fault￾tolerant, scalable and real-time distributed system

● Own the design, development and deployment of code to improve product and platform 

functionality

● Taking initiative and giving ideas for improving the processes in the technology team 

would lead to better performance of the team and result in robust solutions

● Writing high-performance, reliable and maintainable code

● Support team with timely analysis and debugging of operational issues

● Emphasis on automation and scripting

● Cross-functional communication to deliver projects

● Mentor junior team members technically and manage a team of software engineers

● Taking interviews and making tests for hiring people in the technology team

What do we look for?

The following are the important eligibility requirements for this Job:

● Bachelor's or Master's degree in computer science or equivalent.

● 5+ years of experience working as a software engineer, preferably in a product-based 

company.

● Experience working with major cloud solutions AWS (preferred), Azure, and GCP.

● Familiarity with 3-Tier, microservices architecture and distributed systems

● Experience with the design & development of RESTful services

● Experience with developing Linux-based applications, networking and scripting.

● Experience with different data stores, data modelling and scaling them

● Familiarity with data stores such as PostgreSQL, MySQL, Mongo-DB etc.

● 4+ years of experience with web frameworks (preferably Django, Flask etc.)

● Good understanding of data structures, multi-threading and concurrency concepts.

● Experience with DevOps tools like Jenkins, Ansible, Kubernetes, and Git is a plus.

● Familiarity with elastic search queries and visualization tools like grafana, kibana

● Strong networking fundamentals: Firewalls, Proxies, DNS, Load Balancing, etc.

● Strong analytical and problem-solving skills.

● Excellent written and verbal communication skills.

● Team player, flexible and able to work in a fast-paced environment.

● End-to-end ownership of the product. You own what you develop.

• Meeting with the design team to discuss the needs of the company.
• Building and configuring Magento 1x and 2x eCommerce websites.
• Coding of the Magento templates.
• Developing Magento modules in PHP using best practices.
• Designing themes and interfaces.
• Setting performance tasks and goals.
• Troubleshooting integration issues.
• Updating website features and security patches.

Desired Candidate Profile

Azine Technologies is known for our innovative technologies, products and services -- and for the people behind them. At Azine, we create identity verification products which are essentially apps, APIs, SDKs which have different modules that undergo OCR, Face Recognition, and other AI and machine learning. We’re looking for a Python Developer who can fulfil the following responsibilities.

• Design & implement new software modules based on the product requirements
• Debug existing software components, fix issues and avoid regressions
• Be proactive, take ownership and be accountable
• Familiar with Test Drive Development.
• Participate in software architecture, design discussions and code reviews

Bachelor’s degree and 4+ years of software development experience or equivalent, including Computer Vision and AI/ML.

Understanding of OCR, Neural network and Deep learning.

Expert in Java with knowledge of Java Frameworks.

Knowledge of user authentication and authorization between multiple systems, servers, and environments.

Proficient understanding with code versioning tools such as Git, SVN, etc.

Strong unit test and debugging skills.

Basic understanding of front-end technologies, such as Javascript, HTML5, and CSS3