Campaign Manager

About the Role

We're looking for a Senior AI/ML Engineer who thrives at the intersection of research and production — someone who doesn't just build models, but ships systems that scale. You'll own the full ML lifecycle: architecting robust data pipelines, training and rigorously evaluating models, and deploying them into high-throughput production environments. This is a role for engineers who want their work to move fast, break assumptions (not systems), and directly shape how AI gets built at scale. If you're energized by turning cutting-edge research into real-world impact, this is your next challenge.

Key Responsibilities

– Design, build, and maintain end-to-end ML pipelines — from raw data ingestion to model serving — with a focus on scalability and reliability.

– Develop, train, and rigorously evaluate ML/DL models using sound experimentation practices (A/B testing, offline/online metrics, statistical validation).

– Own the MLOps lifecycle: implement CI/CD pipelines for model training and deployment, version control for datasets and models, and automated retraining workflows.

– Deploy and monitor models in production using containerized, orchestrated infrastructure (Docker, Kubernetes), ensuring low-latency, high-availability inference.

– Collaborate cross-functionally with Data Engineering, Product, and Backend teams to translate business problems into scalable ML solutions.

– Optimize model performance for cost, latency, and accuracy trade-offs across cloud-based training and inference environments.

– Mentor and guide junior engineers and data scientists — conducting code reviews, sharing best practices, and raising the technical bar of the team.

– Stay current with emerging research (LLMs, generative AI, RAG architectures) and proactively identify opportunities to apply them to existing products.

Required Technical Skills

Languages

– Expert-level Python; working knowledge of R or C++ is a plus.

Frameworks

– TensorFlow, PyTorch, Scikit-Learn, Keras.

Data & Cloud

– Strong SQL and NoSQL fundamentals.

– Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure), specifically their ML tooling — SageMaker, Vertex AI, or equivalent.

– Experience with distributed data processing frameworks: Spark, Hadoop.

MLOps & Deployment

– Proficiency with Docker and Kubernetes for containerized deployment.

– Experience building CI/CD pipelines for ML workflows.

– Familiarity with experiment tracking and pipeline orchestration tools like MLflow or Kubeflow.

Advanced / Nice-to-Have

– Practical experience with LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG) architectures.

– Experience fine-tuning transformer-based models for domain-specific use cases.

Qualifications & Experience

– Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.

– 5+ years of hands-on experience building, training, and deploying production-grade AI/ML models at scale.

– Demonstrated track record of taking models from prototype to production in a real-world business setting.

What We Offer

– Competitive compensation, benchmarked to top-tier tech talent in the industry.

– Comprehensive health insurance coverage for you and your family.

– Annual learning & development stipend for courses, certifications, and conferences.

– A collaborative, high-ownership culture where engineering excellence is celebrated.

– The opportunity to work on cutting-edge AI systems with direct, visible impact.

About Tech Transient

Tech Transient is an AI consulting and digital transformation firm headquartered in Coimbatore, Tamil Nadu.

We partner with enterprises and growth-stage companies to design and deliver intelligent digital products — spanning mobile applications, cloud platforms, and AI-driven solutions. Our mission is to translate emerging technology into measurable business outcomes.

Role: Full-Time, Long-Term Required: Python, SQL Preferred: Experience with financial or crypto data

OVERVIEW

We are seeking a data engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build robust, production-grade data infrastructure and grow with a small, focused team. You will own the data layer that feeds our machine learning pipeline—from ingestion and validation through transformation, storage, and delivery.

The ideal candidate is meticulous about data quality, thinks deeply about failure modes, and builds systems that run reliably without constant attention. You understand that downstream ML models are only as good as the data they consume.

CORE TECHNICAL REQUIREMENTS

Python (Required): Professional-level proficiency. You write clean, maintainable code for data pipelines—not throwaway scripts. Comfortable with Pandas, NumPy, and their performance characteristics. You know when to use Python versus push computation to the database.

SQL (Required): Advanced SQL skills. Complex queries, query optimization, schema design, execution plans. PostgreSQL experience strongly preferred. You think about indexing, partitioning, and query performance as second nature.

Data Pipeline Design (Required): You build pipelines that handle real-world messiness gracefully. You understand idempotency, exactly-once semantics, backfill strategies, and incremental versus full recomputation tradeoffs. You design for failure—what happens when an upstream source is late, returns malformed data, or goes down entirely. Experience with workflow orchestration required: Airflow, Prefect, Dagster, or similar.

Data Quality (Required): You treat data quality as a first-class concern. You implement validation checks, anomaly detection, and monitoring. You know the difference between data that is missing versus data that should not exist. You build systems that catch problems before they propagate downstream.

WHAT YOU WILL BUILD

Data Ingestion: Pipelines pulling from diverse sources—crypto exchanges, traditional market feeds, on-chain data, alternative data. Handling rate limits, API quirks, authentication, and source-specific idiosyncrasies.

Data Validation: Checks ensuring completeness, consistency, and correctness. Schema validation, range checks, freshness monitoring, cross-source reconciliation.

Transformation Layer: Converting raw data into clean, analysis-ready formats. Time series alignment, handling different frequencies and timezones, managing gaps.

Storage and Access: Schema design optimized for both write patterns (ingestion) and read patterns (ML training, feature computation). Data lifecycle and retention management.

Monitoring and Alerting: Observability into pipeline health. Knowing when something breaks before it affects downstream systems.

DOMAIN EXPERIENCE

Preference for candidates with experience in financial or crypto data—understanding market data conventions, exchange-specific quirks, and point-in-time correctness. You know why look-ahead bias is dangerous and how to prevent it.

Time series data at scale—hundreds of symbols with years of history, multiple frequencies, derived features. You understand temporal joins, windowed computations, and time-aligned data challenges.

High-dimensional feature stores—we work with hundreds of thousands of derived features. Experience managing, versioning, and serving large feature sets is valuable.

ENGINEERING STANDARDS

Reliability: Pipelines run unattended. Failures are graceful with clear errors, not silent corruption. Recovery is straightforward.

Reproducibility: Same inputs and code version produce identical outputs. You version schemas, track lineage, and can reconstruct historical states.

Documentation: Schemas, data dictionaries, pipeline dependencies, operational runbooks. Others can understand and maintain your systems.

Testing: You write tests for pipelines—validation logic, transformation correctness, edge cases. Untested pipelines are broken pipelines waiting to happen.

TECHNICAL ENVIRONMENT

PostgreSQL, Python, workflow orchestration (flexible on tool), cloud infrastructure (GCP preferred but flexible), Git.

WHAT WE ARE LOOKING FOR

Attention to Detail: You notice when something is slightly off and investigate rather than ignore.

Defensive Thinking: You assume sources will send bad data, APIs will fail, schemas will change. You build accordingly.

Self-Direction: You identify problems, propose solutions, and execute without waiting to be told.

Long-Term Orientation: You build systems you will maintain for years.

Communication: You document clearly, explain data issues to non-engineers, and surface problems early.

EDUCATION

University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Engineering. Equivalent demonstrated expertise also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of a data pipeline you built and maintained, (3) Links to relevant work if available, (4) Availability and timezone.

Job Title: Data Analyst-Fintech

Job Description:

We are seeking a highly motivated and detail-oriented Data Analyst with 2 to 4 years of work experience to join our team. The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and a passion for transforming data into actionable insights. In this role, you will play a pivotal role in gathering, analyzing, and interpreting data to support informed decision-making and drive business growth.

Key Responsibilities:

1.      Data Collection and Extraction:

§ Gather data from various sources, including databases, spreadsheets and APIs,

§ Perform data cleansing and validation to ensure data accuracy and integrity.

2.      Data Analysis:

§ Analyze large datasets to identify trends, patterns, and anomalies.

§ Conduct analysis and data modeling to generate insights and forecasts.

§ Create data visualizations and reports to present findings to stakeholders.

3.      Data Interpretation and Insight Generation:

§ Translate data insights into actionable recommendations for business improvements.

§ Collaborate with cross-functional teams to understand data requirements and provide data-driven solutions.

4.      Data Quality Assurance:

§ Implement data quality checks and validation processes to ensure data accuracy and consistency.

§ Identify and address data quality issues promptly.

Qualifications:

1.      Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline.

2.      Proven work experience as a Data Analyst, with 2 to 4 years of relevant experience.

3.      Knowledge of data warehousing concepts and ETL processes is advantageous.

4.      Proficiency in data analysis tools and languages (e.g., SQL, Python, R).

5.      Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.

6.      Strong analytical and problem-solving skills.

7.      Excellent communication and presentation skills.

8.      Attention to detail and a commitment to data accuracy.

9.      Familiarity with machine learning and predictive modeling is a bonus.

If you are a data-driven professional with a passion for uncovering insights from complex datasets and have the qualifications and skills mentioned above, we encourage you to apply for this Data Analyst position. Join our dynamic team and contribute to making data-driven decisions that will shape our company's future.

Fatakpay is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Description:

· Mechanical Engineer with 7+ years of relevant experience

· Strong Knowledge of injection Molding simulation (Cool+Fill+Pack+Warp) using Autodesk Moldflow.

· Strong Knowledge on selection of gate location, 2k and insert Molding Analysis.

· Working knowledge on Plastic Injection Mold design.

· Strong knowledge in plastic material selection and able to suggest alternate material.

· Experience in Good knowledge of injection Molding process.

· Experience in solving injection Molding issues (weld lines, sink marks, warpage, etc).

· Able to find optimized process parameters for Injection Molding process Engineer.

· Strong analytical skills and results interpretation skills.

· Working understanding of CAD software like SolidWorks, CATIA etc.

· Working experience in Product design

· Good exposure to manufacturing process

· Good Knowledge of DFMEA, DFM and DFA

We’re in search of an experienced QA Team Leader to handle testing of the company’s product or system. As QA Team Leader you will be responsible for designing and implementing tests, debugging issues, performing root-cause analyses, defining corrective actions, and tracking quality assurance metrics. You will be responsible for our student test engineers to follow up and coach them. Dare to make a difference and have an impact from Day One!

Job Profile:

Role and responsibility

• Create detailed, comprehensive, and well-structured testing documentation.
• Allocate work across the team to ensure business requirements are met.
• Design and execute test plans, test cases, and test scripts for functional, regression, and performance testing.
• Establish QA metrics, goals, and objectives in alignment with organizational objectives.
• Manage the QA testing environment, including configuring test environments and maintaining test data integrity.
• Expert in the API testing.
• Proficient in the database testing
• Experienced with J Meter
• Participating in daily stand-up meetings, sprint planning, and sprint retrospectives.
• Collaborate with cross-functional teams, including product development, engineering, and customer support, to identify quality issues and drive resolution.
• Conduct thorough testing of software applications, systems, and products to identify defects and ensure adherence to quality standards.
• Stay current with industry trends and best practices in software quality assurance and testing methodologies.

Skills and qualifications

• Bachelor’s or master’s degree in engineering.
• Min 6 years of experience in software testing
• Strong knowledge of software QA methodologies and tools
• Strong communication and interpersonal skills
• Ability to lead and motivate a team of testers
• Ability to work in a fast-paced environment and meet deadlines
• Experience with test management tools (e.g. JIRA, Quality Center)
• High effectiveness in managing cross-functional teams.
• Having experience in automation testing will be an added advantage like selenium, APM, Rest Assured/Karate Framework, Jenkin

This job position will be placed under the BPO Marketing and Communication Unit of the Company.

We are looking for a Paid Media Specialist who will own and manage various paid social campaign platforms specifically on Google, Facebook, YouTube and Tiktok, from marketing brief, to execution, with a proven track record of campaign management, budget management, performance reporting, forecasting and competitive analysis and more.

Essential Duties & Responsibilities:

● Work in a Business Process Outsourcing (BPO) Module providing marketing solutions to different local and international clients and Business Development Units.

● Plan, manage, optimize and execute paid social campaigns and programs to drive right messaging to the right audiences on the right platform to maximize conversions while minimizing cost per acquisition ● Data Analysis: Analyze player data to identify trends, improve the player experience, and make data-driven decisions for the casino's operations.

● Strategize and execute integrated paid media campaigns that use multiple channels including but not limited to Google, LinkedIn, Facebook, and Tiktok displays programmatic and more to drive conversions across all phases of the customer journey

● Marketing and Promotions: Collaborate with the marketing team to plan and execute promotional campaigns to attract and retain players.

● Data driven decision making to optimize and execute paid campaigns to drive quality leads in turn helping improve sales velocity

● Collaborate with Marketing and Sales team to strategize, architect, deploy and track digital campaigns that drive performance

● Reporting: Generate regular reports on key performance indicators, financial metrics, and operational data to assess the casino's performance.

● Develop A/B Testing plans for end-to-end Paid media campaigns by applying growth hacking mentality to improve customer engagement

● Support executing content promotions and distribution with digital channels

● Experimenting with new or existing digital channels and trying out new tactics that contribute to a strong ROI

● Analyze the efficiency of each digital channel based on KPIs for continuous improvement

The specific responsibilities and requirements for a Paid Media Specialist in an online casino may vary depending on the size and nature of the casino, as well as local regulations and industry standards.

Salary Php80,000 - Php100, 000

Work Experience Requirements

● At least 3-5 years of experience in Paid Media with hands on experience

● Excellent understanding of customer’s playing behavior as it pertains to the web

● Proven track record

● Must be able to use paid media tools

● Strong experience with Google Analytics or similar tracking tool

● Strong analytical, interpersonal, and communication skills

● Excellent ability to collaborate cross functionally

● Strong ability to prioritize work and projects based on short and long-term needs

● Exceptional verbal & written communication skills, especially the ability to think on your feet

● Must be willing to report onsite in Cambodia

Job Brief:

We are looking for experience in API and Node.js to produce scalable software solutions. You will be part of a cross-functional team that is responsible for the full software development life cycle, from conception to deployment. 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.

Responsibilities:

·       Work with development teams and product managers to ideate software solutions.

·       Design client-side and server-side architecture

·       Build the front-end of applications through appealing visual design.

·       Develop and manage well-functioning databases and applications.

·       Write effective APIs.

·       Test software to ensure responsiveness and efficiency.

·       Troubleshoot, debug and upgrade software.

·       Create security and data protection settings.

·       Build features and applications with a mobile responsive design.

·       Write technical documentation.

·       Work with data scientists and analysts to improve software.

Requirements:

·       Proven experience as a Full Stack Developer or similar role

·       Experience developing desktop and mobile applications.

·       Familiarity with common stacks

·       Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, Nodejs and .Net)

·       Familiarity with databases (e.g. MySQL, MS SQL, Mogo DB)

·       Good to have- Cloud knowledge (Azure, AWS)

·       Strong command on API Development with  Nodejs

·       Good to have- knowledge on multiple back-end languages ( Java, Python) and knowledge of JavaScript frameworks ( React, Angular, Node )

·       Excellent communication and teamwork skills

·       Great attention to detail

·       Organizational skills

Technical Skills:

HTML, CSS, React, API, JavaScript, Node, SQL, and Cloud knowledge (Azure/AWS)

 Experience – 4+ Years

• Ensure successful implementation of the new merchant with the goal to increase the number of company Digital ambassadors within the industry.
• Work closely with the merchant and the various CPD teams to guarantee a high-quality project delivery.
• Develop and execute an appropriate implementation plan for on-boarding, testing, and launch
• Configure the Product suite contracted by the merchant.
• Provide training to a select group of the merchant’s staff.
• Document key learning’s and collaborates with Solution and Technical engineers to streamline the integration and onboarding process
• Ensure transition the configured client to the internal Service Desk team and mentor its staff so they can provide full support to the client.
• Analyze and produce statistics and management reports for the leadership team

Education, skills, and experience

• Hands-on experience (1-5 years) and understanding of the eCommerce payment ecosystem and various roles/players (Payment Service Providers, payment schemes, etc.).
• Excellent communication skills whereby fluent English (written and oral) is a must.
• Coordination of end-to-end technical implementation of e-commerce payment products
• Expertise in credit card and international alternative payment solutions
• Expertise in PCI compliance and latest card schemes mandates
• Ability to manage simultaneously multiple projects and client relationships
• Knowledge of Internet and payments API related technologies including JSON, XML, HTML, CSS, and JavaScript
• Strong SQL knowledge
• Former experience in programming tools, including .NET and Java