Search Engine Marketing Specialist

Title: Data Platform / Database Architect (Postgres + Kafka) — AI‑Ready Data Infrastructure

Location: Noida (Hybrid). Remote within IST±3 considered for exceptional candidates.

Employment: Full‑time

About Us

We are building a high‑throughput, audit‑friendly data platform that powers a SaaS for financial data automation and reconciliation. The stack blends OLTP (Postgres), streaming (Kafka/Debezium), and OLAP (ClickHouse/Snowflake/BigQuery), with hooks for AI use‑cases (vector search, feature store, RAG).

Role Summary

Own the end‑to‑end design and performance of our data platform—from multi‑tenant Postgres schemas to CDC pipelines and analytics stores—while laying the groundwork for AI‑powered product features.

What You’ll Do

• Design multi‑tenant Postgres schemas (partitioning, indexing, normalization, RLS), and define retention/archival strategies.  

• Make Postgres fast and reliable: EXPLAIN/ANALYZE, connection pooling, vacuum/bloat control, query/index tuning, replication.  

• Build event‑streaming/CDC with Kafka/Debezium (topics, partitions, schema registry), and deliver data to ClickHouse/Snowflake/BigQuery.  

• Model analytics layers (star/snowflake), orchestrate jobs (Airflow/Dagster), and implement dbt‑based transformations.  

• Establish observability and SLOs for data: query/queue metrics, tracing, alerting, capacity planning.  

• Implement data security: encryption, masking, tokenization of PII, IAM boundaries; contribute to PCI‑like audit posture.  

• Integrate AI plumbing: vector embeddings (pgvector/Milvus), basic feature‑store patterns (Feast), retrieval pipelines and metadata lineage.  

• Collaborate with backend/ML/product to review designs, coach engineers, write docs/runbooks, and lead migrations.

Must‑Have Qualifications

• 6+ years building high‑scale data platforms with deep PostgreSQL experience (partitioning, advanced indexing, query planning, replication/HA).  

• Hands‑on with Kafka (or equivalent) and Debezium/CDC patterns; schema registry (Avro/Protobuf) and exactly‑once/at‑least‑once tradeoffs.  

• One or more analytics engines at scale: ClickHouse, Snowflake, or BigQuery, plus strong SQL.  

• Python for data tooling (pydantic, SQLAlchemy, or similar); orchestration with Airflow or Dagster; transformations with dbt.  

• Solid cloud experience (AWS/GCP/Azure)—networking, security groups/IAM, secrets management, cost controls.  

• Pragmatic performance engineering mindset; excellent communication and documentation.

Nice‑to‑Have

• Vector/semantic search (pgvector/Milvus/Pinecone), feature store (Feast), or RAG data pipelines.  

• Experience in fintech‑style domains (reconciliation, ledgers, payments) and SOX/PCI‑like controls.  

• Infra‑as‑Code (Terraform), containerized services (Docker/K8s), and observability stacks (Prometheus/Grafana/OpenTelemetry).  

• Exposure to Go/Java for stream processors/consumers.  

• Lakehouse formats (Delta/Iceberg/Hudi).

Job Description

Phonologies is seeking a Senior Data Engineer to lead data engineering efforts for developing and deploying generative AI and large language models (LLMs). The ideal candidate will excel in building data pipelines, fine-tuning models, and optimizing infrastructure to support scalable AI systems for enterprise applications.

Role & Responsibilities

• Data Pipeline Management: Design and manage pipelines for AI model training, ensuring efficient data ingestion, storage, and transformation for real-time deployment.
• LLM Fine-Tuning & Model Lifecycle: Fine-tune LLMs on domain-specific data, and oversee the model lifecycle using tools like MLFlow and Weights & Biases.
• Scalable Infrastructure: Optimize infrastructure for large-scale data processing and real-time LLM performance, leveraging containerization and orchestration in hybrid/cloud environments.
• Data Management: Ensure data quality, security, and compliance, with workflows for handling sensitive and proprietary datasets.
• Continuous Improvement & MLOps: Apply MLOps/LLMOps practices for automation, versioning, and lifecycle management, while refining tools and processes for scalability and performance.
• Collaboration: Work with data scientists, engineers, and product teams to integrate AI solutions and communicate technical capabilities to business stakeholders.

Preferred Candidate Profile

• Experience: 5+ years in data engineering, focusing on AI/ML infrastructure, LLM fine-tuning, and deployment.
• Technical Skills: Advanced proficiency in Python, SQL, and distributed data tools.
• Model Management: Hands-on experience with MLFlow, Weights & Biases, and model lifecycle management.
• AI & NLP Expertise: Familiarity with LLMs (e.g., GPT, BERT) and NLP frameworks like Hugging Face Transformers.
• Cloud & Infrastructure: Strong skills with AWS, Azure, Google Cloud, Docker, and Kubernetes.
• MLOps/LLMOps: Expertise in versioning, CI/CD, and automating AI workflows.
• Collaboration & Communication: Proven ability to work with cross-functional teams and explain technical concepts to non-technical stakeholders.
• Education: Degree in Computer Science, Data Engineering, or related field.

Perks and Benefits

• Competitive Compensation: INR 20L to 30L per year.
• Innovative Work Environment for Personal Growth: Work with cutting-edge AI and data engineering tools in a collaborative setting, for continuous learning in data engineering and AI.

About Monarch: 

At Monarch, we’re leading the digital transformation of farming. Monarch Tractor augments both muscle and mind with fully loaded hardware, software, and service machinery that will spur future generations of farming technologies. 

With our farmer-first mentality, we are building a smart tractor that will enhance (not replace) the existing farm ecosystem, alleviate labor availability, and cost issues, and provide an avenue for competitive organic and beyond farming by providing mechanical solutions to replace harmful chemical solutions. Despite all the cutting-edge technology we will incorporate, our tractor will still plow, till, and haul better than any other tractor in its class. We have all the necessary ingredients to develop, build and scale the Monarch Tractor and digitally transform farming around the world. 

Description: 

We are looking for engineers to work on applied research problems related to control in autonomous driving of electric tractors. The team works on path planning and control to deploy on resource constrained hardware.  

Technical Skills: 

• Necessary Skills: C++, Eigen, Boost, ROS. 
• Solid theoretical knowledge in Linear Algebra and Differential Equations, Control systems, Model Predictive Control, Robotics. 
• Knowledge of some numerical algorithms or libraries among: IPOPT (cppAD), HPIPM would be a plus. 
• Experienced candidates in ROS & C++ projects with no prior control experience willing to apply their knowledge to vision problems are also encouraged to apply. 
• Experience in simulation frameworks such as Gazebo would be a plus. 

Responsibilities: 

• Ability to formulate math for a given problem statement/approach and prototype in C++. 
• Work in conjunction with other sub-systems for integration. 
• Testing/tuning the controller in simulation and on real-world hardware. 
• Communicate and collaborate with team members in India and abroad for the fulfillment of your duties and organizational objectives. 
• Thrive in a fast-paced environment and can complete the assigned sub-task. 

What you will get: 

At Monarch Tractor, you’ll play a key role on a capable, dedicated, high-performing team. Our compensation package includes a competitive salary, excellent health, benefits commensurate with the role you’ll play in our success.  

About Us:

The School of Raya is an upcoming IB Continuum School located in Bagalur, Bangalore: https://theschoolofraya.com/

Roles and Responsibilities:

We seek a proactive and organized Female Front Desk Executive with international school experience to join our institution. The ideal candidate will play a crucial role in providing excellent customer service, managing administrative tasks, and creating a welcoming environment for students, parents, and staff. This role requires exceptional communication skills, a friendly demeanor, and the ability to multitask effectively.

Welcome and Reception:

• Greet visitors, students, parents, and staff with a warm and professional attitude.
• Maintain a positive and inviting atmosphere at the front desk, ensuring a friendly first point of contact for all individuals.

Administrative Support:

• Manage incoming and outgoing calls, directing calls to the appropriate individuals or departments.
• Handle incoming emails and correspondence, responding promptly and professionally.
• Assist in organizing and scheduling appointments, meetings, and events.
• Maintain the school's electronic and physical filing systems for documents, records, and forms.

Student and Parent Relations:

• Provide information about the school's admissions, policies, and procedures to prospective parents.
• Assist with student registration, enrollment, and related paperwork.
• Address inquiries and concerns from parents ensuring timely and accurate responses.

Visitor Management:

• Monitor and record visitor access, ensuring the security and safety of the school premises.

Requirements:

• Proven experience in a similar front desk preferably in an international school set-up.
• Excellent verbal and written communication skills in English.
• Proficient computer skills, including MS Office and GSuite.
• Strong organizational and multitasking abilities.
• Exceptional interpersonal skills and a friendly, customer-focused demeanor.
• Ability to handle sensitive and confidential information with discretion.
• Knowledge of the International Baccalaureate (IB) education system is an advantage.
• Ability to work independently as well as collaboratively within a team.
• Female candidates preferred.

Location: The School of Raya, Hennur Bagalur Road, Dasanayakanahalli, Bengaluru, Karnataka - 562149, India.

Roles & Responsibilities:

1. ·Manage company’s various online bidding profiles
2. ·Identifying quality lead and bringing up the projects for the company
3. ·Bidding on various portals like PPH/ GURU/ UPWORK / Freelancer and other relevant online platforms
4. · Handle the initial discussions and collect the strategic information about the prospects
5. ·Understand complex project requirements and prepare proposal /bid to generate leads
6. ·Continue prospect engagement and account management throughout the sales cycle until closure.
7. ·Independently collaborate with the technical team for presentation with prospects.
8. · Scout for new bidding platforms and websites to catch out the opportunities.
9. Skill & Experience Required
10. ·       Excellent verbal and written communication skills, capable of converting the prospect with good linguistic ability.
11. ·       Must have 1-3 years of experience in Web Development & Mobile Apps project acquisition and closure through the online bidding platforms.
12. ·       Experience with lead generation and prospect management via various online bidding platforms.
13. ·       Must have sound technical knowledge of advanced Web and Mobile technologies trending today.
14. ·       Lead generation through LinkedIn, database, and other social networks would be an added value.
15. ·       Ability to handle the sales independently or as part of a team.
16. Education: Degree/ any diploma

Experience: 1- 3 years

Salary: negotiable

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