Business Development Executive

Palcode.ai is an AI-first platform built to solve real, high-impact problems in the construction and preconstruction ecosystem. We work at the intersection of AI, product execution, and domain depth, and are backed by leading global ecosystems

Role: Full Stack Developer

Industry Type: Software Product

Department: Engineering - Software & QA

Employment Type: Full Time, Permanent

Role Category: Software Development

Education

UG: Any Graduate

Job Title: Data Engineer

Location: Hyderabad

About us:

Blurgs AI is a deep-tech startup focused on maritime and defence data-intelligence solutions, specialising in multi-modal sensor fusion and data correlation. Our flagship product, Trident, provides advanced domain awareness for maritime, defence, and commercial sectors by integrating data from various sensors like AIS, Radar, SAR, and EO/IR.

At Blurgs AI, we foster a collaborative, innovative, and growth-driven culture. Our team is passionate about solving real-world challenges, and we prioritise an open, inclusive work environment where creativity and problem-solving thrive. We encourage new hires to bring their ideas to the table, offering opportunities for personal growth, skill development, and the chance to work on cutting-edge technology that impacts global defence and maritime operations.

Join us to be part of a team that's shaping the future of technology in a fast-paced, dynamic industry.

Job Summary:

We are looking for a Senior Data Engineer to design, build, and maintain a robust, scalable on-premise data infrastructure. You will focus on real-time and batch data processing using platforms such as Apache Pulsar and Apache Flink, work with NoSQL databases like MongoDB and ClickHouse, and deploy services using containerization technologies like Docker and Kubernetes. This role is ideal for engineers with strong systems knowledge, deep backend data experience, and a passion for building efficient, low-latency data pipelines in a non-cloud, on-prem environment.

Key Responsibilities:

• Data Pipeline & Streaming Development
• Design and implement real-time data pipelines using Apache Pulsar and Apache Flink to support mission-critical systems.
• Develop high-throughput, low-latency data ingestion and processing workflows across streaming and batch workloads.
• Integrate internal systems and external data sources into a unified on-prem data platform.
• Data Storage & Modelling
• Design efficient data models for MongoDB, ClickHouse, and other on-prem databases to support analytical and operational workloads.
• Optimise storage formats, indexing strategies, and partitioning schemes for performance and scalability.
• Infrastructure & Containerization
• Deploy, manage, and monitor containerised data services using Docker and Kubernetes in on-prem environments.
• Performance, Monitoring & Reliability
• Monitor the performance of streaming jobs and database queries; fine-tune for efficiency and reliability.
• Implement robust logging, metrics, and alerting solutions to ensure data system availability and uptime.
• Identify bottlenecks in the pipeline and proactively implement optimisations.

Required Skills & Experience:

• Strong experience in data engineering with a focus on on-premise infrastructure.
• Strong expertise in streaming technologies like Apache Pulsar, Apache Flink, or similar.
• Deep experience with MongoDB, ClickHouse, and other NoSQL or columnar storage databases.
• Proficient in Python, Java, or Scala for data processing and backend development.
• Hands-on experience deploying and managing systems using Docker and Kubernetes.
• Familiarity with Linux-based systems, system tuning, and resource monitoring.

Preferred Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or an equivalent combination of education and experience.

Additional Responsibilities for Senior Data Engineers :

For those hired as Senior Data Engineers, the role will come with added responsibilities, including:

• Leadership & Mentorship: Guide and mentor junior engineers, sharing expertise and best practices.
• System Architecture: Lead the design and optimization of complex real-time and batch data pipelines, ensuring scalability and performance.
• Sensor Data Expertise: Focus on building and optimizing sensor-based data pipelines and stateful stream processing for mission-critical applications in domains like maritime and defense.
• End-to-End Ownership: Take responsibility for the performance, reliability, and optimization of data systems.

Compensation:

• Data Engineer CTC: 4 - 8 LPA
• Senior Data Engineer CTC: 12 - 16 LPA

MemoNeet, a leading Edtech Startup with over 900K+ downloads for NEET exam preparation about to reach Million Users, is on a mission to empower students through innovative technology.

We are seeking a skilled and dedicated full-time Full-Time Flutter Developer. This is a fully remote position, offering a base pay of INR 12000 with an INR 3000 performance bonus based on work performance. Additionally, monthly incremental base pay and bonus adjustments will be made based on your outstanding performance.

Job Synapsis

Are you a passionate person who is willing to thrive in the field of Human Resources in a Product based company? Are you an avid learner who just wants to excel in the role as an HR? We believe you are the right choice of talent we are looking for.

To us, smooth operational activities is key theme for thriving business. It implies that HR Operations duties will involve managing employee activities such as employee relations, Training & development, employee engagement, grievance’s, Performance Appraisals etc.

 Responsibilities

• Monitor internal HR systems and databases
• Act as a consultant to managers and staff regarding policies and procedures
• Address employees’ queries on issues related to compensation and all other relevant topics
• Prepare employees for assignments by establishing and conducting orientation and training programs
• To conduct timely various employee engagement activities
• Ensure planning, monitoring, and appraisal of employee work results by training managers to coach and discipline employees; scheduling management conferences with employees; hearing and resolving employee grievances; counselling employees and supervisors
• Asses and maintain employee benefits programs and inform employees of the same
• Complete HR operational requirements by scheduling and assigning employees; following up on work results & nurture a positive working environment
• Oversee and manage a performance appraisal system that drives high performance & timely feedback
• Assess training needs to apply and monitor training programs
• Report to management and provide decision support through HR metrics
• Ensure legal compliance throughout human resource management.
• Manage employee benefits, including broker/ vendor relationships, enrolment, claims resolution, and general employee inquiries
• Manage the employee onboarding and offboarding processes to enhance new and departing employee experience
• Recommend new approaches, policies and procedures
• Act as the primary HR point of contact for all ISO & Internal audits and work with internal teams and manage HR compliance documentation, process and audits
• Other duties as assigned.

What we are looking for…

• Fresher to 1 years of related HR operation’s experience required, with prior experience with product based or startup will be plus.
• People oriented and results driven.
• Strong communication skills.
• Knowledge of any HRMS.
• Ability to architect strategy along with leadership skills
• Excellent active listening, negotiation, and presentation skills
• Competence to build and effectively manage interpersonal relationships at all levels of the company
• In-depth knowledge of labour law and HR best practice.
• Degree in Human Resources or related field

• Building out and manage a young data science vertical within the organization

• Provide technical leadership in the areas of machine learning, analytics, and data sciences

• Work with the team and create a roadmap to solve the company’s requirements by solving data-mining, analytics, and ML problems by Identifying business problems that could be solved using Data Science and scoping it out end to end.

• Solve business problems by applying advanced Machine Learning algorithms and complex statistical models on large volumes of data.

• Develop heuristics, algorithms, and models to deanonymize entities on public blockchains

• Data Mining - Extend the organization’s proprietary dataset by introducing new data collection methods and by identifying new data sources.

• Keep track of the latest trends in cryptocurrency usage on open-web and dark-web and develop counter-measures to defeat concealment techniques used by criminal actors.

• Develop in-house algorithms to generate risk scores for blockchain transactions.

• Work with data engineers to implement the results of your work.

• Assemble large, complex data sets that meet functional / non-functional business requirements.

• Build, scale and deploy holistic data science products after successful prototyping.

• Clearly articulate and present recommendations to business partners, and influence future plans based on insights.

• >8+ years of relevant experience as a Data Scientist or Analyst. A few years of work experience solving NLP problems or other ML problems is a plus

• Must have previously managed a team of at least 5 data scientists or analysts or demonstrate that they have prior experience in scaling a data science function from the ground 

• Good understanding of python, bash scripting, and basic cloud platform skills (on GCP or AWS)

• Excellent communication skills and analytical skills

• Work closely with the Founders in helping grow the organization to the next level alongside some of the best and brightest talents around you

• An excellent culture, we encourage collaboration, growth, and learning amongst the team

• Competitive salary and equity

• An autonomous and flexible role where you will be trusted with key tasks.

• An opportunity to have a real impact and be part of a company with purpose.

SF developer with PD1 certification 

                     Apex, Lightening, LWC

                     Must have experience in developing , supporting service cloud

Location: MBFC / Command Center, Changi Business Park, Singapore

Duration: 12 Months Renewable Contract

Description

• We are looking for highly motivated and experienced individuals to join our client as Application/Production Support Analyst supporting banking systems and applications.

Mandatory Skill(s)

• Degree in Computer Science, Business Information Technology or related disciplines;
• 3-5 years of experience providing support to business systems and applications in banking or financial service sectors;
• Possesses good knowledge on Site Reliability Engineering best practices and experience adhering to Site Reliability Engineering guidelines in the work;
• Able to troubleshoot and provide solutions for technical issues and routes to appropriate escalation groups;
• Good analytical skills with excellent communication; 
• Good in understanding internal processes and resolving issues;
• Should have keen interest in providing high service quality and familiar with the demand of a 24×7 support environment.

Desirable Skill(s)

• Prior experience in the banking industry;
• Experience in application implementation projects in financial institutions would be a great advantage.

Responsibilities

• Perform work in rotational shifts to provide 24/7 on-site or on-call support;
• Responsible for health-check, continuous L1 and L2 support and rectification for mission critical Web-based applications; 
• Responsible for the day-to-day maintenance of the application systems in operation;
• Handle Incident and Problem management;
• Work closely with key stakeholders, including management, development teams, end users, and unit leaders and communicate application problems and issues;
• Provide root cause analysis techniques to determine cause and resolve complex system issues or escalate to application managers and the management team;
• Involve with onsite and offshore teams across multiple technologies/applications;
• Lead formal and informal Post Event Problem Reviews;
• Actively involved in Continuous improvement of the system such as removal of TOIL, job automation, performance, tuning;
• Proactive management of production services by measuring and monitoring availability, latency, throughput, user journeys and overall system health.

• Participate in full machine learning Lifecycle including data collection, cleaning, preprocessing to training models, and deploying them to Production.
• Discover data sources, get access to them, ingest them, clean them up, and make them “machine learning ready”. 
• Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models. 
• Partner with data scientists to understand and implement machine learning algorithms. 
• Support A/B tests, gather data, perform analysis, draw conclusions on the impact of your models. 
• Work cross-functionally with product managers, data scientists, and product engineers, and communicate results to peers and leaders. 
• Mentor junior team members 

Who we have in mind:

• Graduate in Computer Science or related field, or equivalent practical experience. 
• 4+ years of experience in software engineering with 2+ years of direct experience in the machine learning field.
• Proficiency with SQL,  Python, Spark, and basic libraries such as Scikit-learn, NumPy, Pandas.
• Familiarity with deep learning frameworks such as TensorFlow or Keras
• Experience with Computer Vision (OpenCV),  NLP frameworks (NLTK, SpaCY, BERT).
• Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering). 
• Understand machine learning principles (training, validation, etc.) 
• Strong hands-on knowledge of data query and data processing tools (i.e. SQL) 
• Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code. 
• Experience deploying highly scalable software supporting millions or more users 
• Experience building applications on cloud  (AWS or Azure) 
• Experience working in scrum teams with Agile tools like JIRA
• Strong oral and written communication skills. Ability to explain complex concepts and technical material to non-technical users