
About QX: The QX Impact was launched with a mission to make A.I accessible and affordable and deliver AI Products/Solutions at scale for the enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights, businesses will continue to face challenges to better understand their customers and even lose them; Secondly, without insights businesses won't’ be able to deliver differentiated products/services; and finally, without insights, businesses can’t achieve a new level of “Operational Excellence” is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization. Job Summary: We are seeking an experienced and driven Technical Project Manager / Technical Delivery Manager to lead complex, high-impact data analytics and data science projects for global clients. This role demands a unique blend of project management expertise, technical depth in cloud and data technologies, and the ability to collaborate across cross-functional teams. You will be responsible for ensuring the successful delivery of data platforms, data products, and enterprise analytics solutions that drive business value. Key Responsibilities: Project & Delivery Management • Lead the full project lifecycle for enterprise-scale data platforms—including requirement gathering, development, testing, deployment, and post-production support. • Own the delivery of Data Warehousing and Data Lakehouse solutions on cloud platforms (Azure, AWS, or GCP). • Prepare and maintain detailed project plans (Microsoft Project Plan) and align them with the Statement of Work (SOW) and client expectations. • Utilize hybrid project methodologies (Agile + Waterfall) for managing scope, budget, and timelines. • Monitor key project KPIs (e.g., SLA, MTTR, MTTA, MTBF) and ensure adherence using tools like ServiceNow. Data Platform & Architecture Oversight • Collaborate with data engineers and architects to guide the implementation of scalable Data Warehouses (e.g., Redshift, Synapse) and Data Lakehouse architectures (e.g., Databricks, Delta Lake). • Ensure data platform solutions meet performance, security, and governance standards. • Understand and help manage data integration pipelines, ETL/ELT processes, and BI/reporting requirements. Client Engagement & Stakeholder Management • Serve as the primary liaison for US/UK clients; manage regular status updates, escalation paths, and expectations across stakeholders. • Conduct WSRs, MSRs, and QBRs with clients and internal teams to drive transparency and performance reviews. • Facilitate team meetings, highlight risks or blockers, and ensure consistent stakeholder alignment. Technical Leadership & Troubleshooting • Provide hands-on support and guidance in data infrastructure troubleshooting using tools like Splunk, AppDynamics, and Azure Monitor. • Lead incident, problem, and change management processes with data platform operations in mind. • Identify automation opportunities and propose technical process improvements across data pipelines and workflows. Governance, Documentation & Compliance • Create and maintain SOPs, runbooks, implementation documents, and architecture diagrams. • Manage project compliance related to data privacy, security, and internal/external audits. • Initiate and track Change Requests (CRs) and look for revenue expansion opportunities with clients. Continuous Improvement & Innovation • Participate in and lead at least three internal processes: optimization or innovation initiatives annually. • Work with engineering, analytics, and DevOps teams to improve CI/CD pipelines and data delivery workflows. • Monitor production environments to reduce deployment issues and improve time-to-insight. Must Have: • 10+ years of experience in technical project delivery, with strong focus on data analytics, BI, and cloud data platforms. • Strong hands-on experience with SQL and data warehouse technologies like Snowflake, Synapse, Redshift, BigQuery, etc. • Proven experience delivering Data Warehouse and Data Lakehouse solutions. • Familiarity with tools such as Redshift, Synapse, BigQuery, Databricks, Delta Lake. • Strong cloud knowledge with Azure, AWS, or GCP. • Proficiency in project management tools like Microsoft Project Plan (MPP), JIRA, Confluence, and ServiceNow. • Expertise in Agile project methodologies. • Excellent communication skills—both verbal and written—with no MTI or grammatical errors. • Hands-on experience working with global delivery models (onshore/offshore). Good-to-Have: • PMP or Scrum Master certification. • Understanding of ITIL processes and DataOps practices. • Experience managing end-to-end cloud data transformation projects. • Experience in project estimation, proposal writing, and RFP handling. Competencies: • Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications. • Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels. • Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm. • Customer Focus - Building strong customer relationships and delivering customer-centric solutions. • Optimize Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement. Why Join Us? • Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions. • Work on impactful projects that make a difference across industries. • Opportunities for professional growth and continuous learning. • Competitive salary and benefits package. Application Details Ready to make an impact? Apply today and become part of the QX Impact team!

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Role & Responsibilities
· Collect, clean, and analyze large structured and unstructured datasets from multiple internal and external sources
· Conduct thorough exploratory data analysis (EDA) to understand data distributions, relationships, outliers, and missing value patterns
· Profile and audit datasets to assess data quality, completeness, consistency, and fitness for modeling
· Investigate and document data lineage — understanding where data originates, how it flows, and how it transforms across systems
· Identify and resolve data anomalies, inconsistencies, and integrity issues in collaboration with data engineering teams
· Develop a deep understanding of the business domain and the underlying data that represents it — including what each field means, how it is captured, and what its limitations are
· Translate raw, messy, real-world data into clean, well-understood analytical datasets ready for modeling and reporting
· Apply statistical techniques such as correlation analysis, hypothesis testing, variance analysis, and distribution fitting to extract meaningful signals from noise
· Build and deploy machine learning models including regression, classification, clustering, NLP, and time-series analysis
· Design, evaluate, and analyze A/B experiments and controlled tests using causal inference techniques
· Develop data-driven recommendations backed by rigorous statistical reasoning
· Write clean, production-ready code in Python or R
· Collaborate with data engineers to build reliable data pipelines and feature stores
· Deploy and monitor ML models using MLOps best practices on cloud infrastructure
· Build dashboards and self-serve analytics tools to support stakeholder decision-making
Data Understanding & Analysis Skills
· Strong ability to interrogate unfamiliar datasets and quickly develop a working understanding of their structure, semantics, and quirks
· Experience working with messy, incomplete, or poorly documented real-world data
· Skilled in identifying hidden patterns, trends, seasonality, and anomalies through visual and statistical exploration
· Ability to ask the right questions about data — challenging assumptions, validating sources, and understanding the context in which data was collected
· Proficiency in data profiling, descriptive statistics, and summary reporting to communicate the shape and health of a dataset
· Experience creating data dictionaries, documentation, and data quality reports to support team-wide data understanding
· Comfort working across structured (relational tables), semi-structured (JSON, XML), and unstructured (text, logs, sensor streams) data formats
Technical Skills Required
· Proficiency in Python (pandas, NumPy, scikit-learn, PyTorch or TensorFlow) and/or R
· Strong SQL skills with hands-on experience in DB2 and SQL Server
· Experience with Databricks for large-scale data processing, feature engineering, and model training
· Familiarity with cloud platforms: Azure or AWS
· Experience with data warehouses and big data platforms (Databricks, Snowflake, or Redshift)
· Knowledge of MLOps tools such as MLflow, Kubeflow, or Airflow
· Experience with streaming data technologies such as Kafka or Spark
· Solid foundation in probability, statistics, linear algebra, and experimental design
Nice to Have
· Experience with deep learning, NLP, computer vision, or Bayesian methods
· Familiarity with real-time or streaming data pipelines
· Open-source contributions or published research
AI Engineer (1–8 years)
Location: Bellandur, Outer Ring Road, Bengaluru (Work from Office only)
Organization Size: 20 members across functions, and growing
Reports to: Head of Engineering
GetSetYo is a Bangalore-based early-stage travel tech startup, built by internet industry veterans (ex-Makemytrip, Flipkart, Ola, PhonePe, Zynga, MagicPin, etc.) and premier academic institutes (IIT Delhi, IIT BHU, ISB, DCE, NIT Surathkal, etc.), and funded by multiple unicorn founders (of companies such as MakeMyTrip, Zomato, Groww, Udaan, MaMaEarth, etc.) and we’re growing fast. Look us up here - https://www.getsetyo.com/about
We’re building something exciting in the travel tech space and looking for a senior AI Engineer to join our core engineering team in Bangalore.
Who Are You:
- 1–8 years of total software engineering experience, including at least 1 year building and shipping AI/ML or LLM-powered products in production
- Engineering degree from a top-ranked college
- Strong engineering foundation in Python or Java, with the ability to build reliable backend services, APIs, evaluation pipelines, and developer tooling around AI systems
- Hands-on experience with LLM application patterns such as RAG, tool/function calling, structured output generation, vector search, reranking, and agentic workflows
- Familiarity with agent frameworks and orchestration patterns, including multi-step workflows, planner/executor patterns, tool routing, and guardrails
- Working knowledge of MCP (Model Context Protocol) or similar patterns for connecting models to internal tools, data sources, and external systems
- Strong understanding of context engineering, prompt design, and how to manage instructions, conversation state, tools, memory, and retrieved context for consistent model behavior
- Experience with evaluation and observability for AI systems: offline evals, online metrics, regression testing, trace inspection, cost/latency monitoring, and failure analysis
- Comfortable working in a fast-paced startup where you can own problem statements end to end — from prototype to production rollout
- Must have experience using AI-native developer tools such as Claude Code / coding agents / AI-assisted workflows to accelerate delivery
What You’ll Do
- Build and own production-grade AI features across the stack, from experimentation and prototyping to backend integration, deployment, monitoring, and iterative improvement
- Design and implement agentic workflows for real user problems — combining LLM reasoning, retrieval, tool use, business rules, and backend APIs into reliable multi-step systems
- Build and optimize RAG and search systems: document ingestion, chunking strategies, embedding pipelines, vector indexes, hybrid retrieval, reranking, and citation/grounding flows
- Integrate models with internal and external systems through tool calling, APIs, and where relevant MCP-compatible interfaces, so models can safely access the right context and take useful actions
- Drive context engineering for AI products: decide what memory, instructions, retrieved context, tool outputs, and interaction history should be passed to the model at each step for maximum quality and efficiency
- Build evaluation systems for prompts, agents, and retrieval quality — including benchmark datasets, golden test cases, automated regression checks, and human-in-the-loop review workflows
- Establish observability and debugging for AI pipelines: traces, tool execution logs, latency/cost tracking, hallucination analysis, and failure-mode investigation
- Help define engineering standards for AI systems across security, guardrails, versioning, rollback, experimentation, and cost-performance tradeoffs
What We Offer:
- AI Impact from Day 1: Lead the development of our core ML capabilities
- Fast Iteration: Weekly releases and direct user feedback
- Collaborative Culture: Flat structure and transparent communication
- Vibrant Office: In-person energy in Bangalore HQ
- Perks: Employee travel discounts and exclusive deals.
Job Title: Data Developer Lead
Experience: 10+ Years
Location: Gurgaon (Onsite)
Work Model: Hybrid
Role Overview:
We are looking for a highly experienced Data Developer with 10+ years of expertise in designing, developing, and managing scalable data solutions. The ideal candidate will have strong experience in data engineering, ETL processes, and database management, with the ability to work in a hybrid onsite environment in Gurgaon.
Key Responsibilities:
- Design, develop, and maintain robust data pipelines and ETL processes
- Build scalable data architectures and optimize data workflows
- Work with large datasets to ensure data accuracy, integrity, and availability
- Develop and manage data warehouses and data lakes
- Collaborate with cross-functional teams including Data Science, Analytics, and Engineering
- Optimize database performance and troubleshoot data-related issues
- Ensure data security, governance, and compliance standards are followed
- Automate data processes and improve system efficiency
- Mentor junior team members and provide technical guidance
Required Skills & Qualifications:
- 10+ years of experience in Data Engineering / Data Development
- Strong proficiency in SQL and database technologies (e.g., PostgreSQL, MySQL, Oracle)
- Hands-on experience with ETL tools (Informatica, Talend, Apache NiFi, etc.)
- Experience with big data technologies (Hadoop, Spark, Hive)
- Proficiency in programming languages like Python, Java, or Scala
- Experience with cloud platforms (AWS, Azure, or GCP)
- Strong understanding of data warehousing concepts (Snowflake, Redshift, BigQuery, etc.)
- Experience with data modeling and schema design
- Familiarity with workflow orchestration tools (Airflow, etc.)
Good to Have:
- Experience in real-time data streaming (Kafka, Flink)
- Exposure to DevOps practices and CI/CD pipelines
- Knowledge of data governance and data quality frameworks
- Experience working in Agile environments
Soft Skills:
- Strong problem-solving and analytical skills
- Excellent communication and stakeholder management
- Ability to work independently and in a collaborative team
Why Join Us?
- Opportunity to work on large-scale data systems
- Collaborative and innovation-driven environment
- Flexible hybrid work model
What You’ll Do:
As a Sr. Data Scientist, you will work closely across DeepIntent Data Science teams located in New York, India, and Bosnia. The role will focus on building predictive models, implementing data-driven solutions to maximize ad effectiveness. You will also lead efforts in generating analyses and insights related to the measurement of campaign outcomes, Rx, patient journey, and supporting the evolution of the DeepIntent product suite. Activities in this position include developing and deploying models in production, reading campaign results, analyzing medical claims, clinical, demographic and clickstream data, performing analysis and creating actionable insights, summarizing, and presenting results and recommended actions to internal stakeholders and external clients, as needed.
- Explore ways to create better predictive models.
- Analyze medical claims, clinical, demographic and clickstream data to produce and present actionable insights.
- Explore ways of using inference, statistical, and machine learning techniques to improve the performance of existing algorithms and decision heuristics.
- Design and deploy new iterations of production-level code.
- Contribute posts to our upcoming technical blog.
Who You Are:
- Bachelor’s degree in a STEM field, such as Statistics, Mathematics, Engineering, Biostatistics, Econometrics, Economics, Finance, or Data Science.
- 5+ years of working experience as a Data Scientist or Researcher in digital marketing, consumer advertisement, telecom, or other areas requiring customer-level predictive analytics.
- Advanced proficiency in performing statistical analysis in Python, including relevant libraries, is required.
- Experience working with data processing, transformation and building model pipelines using tools such as Spark, Airflow, and Docker.
- You have an understanding of the ad-tech ecosystem, digital marketing and advertising data and campaigns or familiarity with the US healthcare patient and provider systems (e.g. medical claims, medications).
- You have varied and hands-on predictive machine learning experience (deep learning, boosting algorithms, inference…).
- You are interested in translating complex quantitative results into meaningful findings and interpretable deliverables, and communicating with less technical audiences orally and in writing.
- You can write production level code, work with Git repositories.
- Active Kaggle participant.
- Working experience with SQL.
- Familiar with medical and healthcare data (medical claims, Rx, preferred).
- Conversant with cloud technologies such as AWS or Google Cloud.
About Us :
Merito is a curated talent platform that helps growth companies to identify and hire quality talent faster. Setup by team of IIM Ahmedabad and HEC Paris alumni Merito with its unique approaches changing the way hiring is done.
What are looking for?
- You are keen on understanding customer's hiring trends and companies current hiring
- You're excited about identifying and reaching our to the prospects
- You're proficient in Microsoft Office applications and tool like CRM, Hubspot to curate the prospect data and be on the top of it
- You're good at communicating with prospective clients on email and phone to maintain a healthy relationship
- You should always be in hunting mode and leveraging different data sources to identify prospects
- Your interpersonal skills and knowledge in Customer Relationship Management (CRM) Software, get us to the top
- You're always ready for the future and always focuses on trying new approaches
Requirements :
- To create new client opportunities, its in your hands to research, identify and reach out to prospects
- You would be dealing with potential clients directly at all times to understand and managing their expectations
- You'd would understand client needs and suggest appropriate services to them
- The power lies within you to develop new relationships with potential clients, while maintaining existing client relationships
- You would be developing proposals for projects and also work on sales pitches and close deals with potential clients
- You're the key person who keeps a close look on the market and has an excellent understanding of the emerging market challenges.
Benefits :
- Fixed + variable pay
- Flexi work hours
Primary skills:
At least 3+ years of working experience on embedded firmware development
- Experience in multithreaded programming, network programming (wired and wireless protocols), real-time programming, cross-platform and cross-language development
- Hands-on experience on driver development for various sensors
- Working knowledge of communication protocols like UART, I2C, SPI, USB, Ethernet, etc
- Product development experience with range of microcontroller/microprocessor architectures, adoption of bare-metal, RTOS and Linux operating systems on new platforms
-Hands-on experience on software development in Bluetooth domain is added advantage
- Experience with hardware lab equipment such as digital scope, logic analyser and JTAG
- Understanding of embedded development constraints and system performance
- Experience with programming in C/C++ and Embedded C
Freshers with strong English Communication are welcome. Building great teams to deliver the best.
Skills:
- Hands on Computer Knowledge
- Know-how of Trending Technologies
- Should be the quick learners
- Critical thinking and problem solving
- Creativity and Imagination
- Agility and Adaptability
- Team work and Collaboration
Background:
Any graduate from Computer Science or IT background
Know about our Company:
Fronix Solutions Pvt Ltd is a renowned Staffing Company that serves the candidates who are scouting for IT Jobs in the USA. From the initial discovery meeting to understand Consultant’s requirement, we engage our team to find the right fit for our clients with extensively vetted candidates on both qualitative and quantitative levels. Only top talent who fit the role will be presented to our clients.
Our team is dedicated to maintaining strong lines of communication during the hiring process and beyond. We at Fronix, has young, dynamic and focused team building. We strive to build and sustain a fun to work environment. Our employee centric career planning, helps us retain, update and empower the teams to deliver better and yet have fun at work.
Timings:
7:30pm to 4:30am (IST)
Have to work out of our office in Hi-Tech City, Hyderabad.
Salary:
INR 1,50, 000P.A- INR 3,00, 000P.A
Job Description-
We are looking for a React Native Lead interested in building performant mobile apps on both the iOS and Android platforms. You will be responsible for architecting and building these applications, as well as coordinating with the teams responsible for other layers of the product infrastructure. Building a product is a highly collaborative effort, and as such, a strong team player with a commitment to perfection is required.
Responsibilities
Build pixel-perfect, buttery smooth UIs across both mobile platforms. Leverage native APIs for deep integrations with both platforms. Diagnose and fix bugs and performance bottlenecks for performance that feels native. Reach out to the open source community to encourage and help implement mission-critical software fixes—React Native moves fast and often breaks things. Maintain code and write automated tests to ensure the product is of the highest quality. Transition existing React web apps to React Native.
Skills
Firm grasp of the JavaScript {{and TypeScript or ClojureScript}} language and its nuances, including ES6+ syntax Knowledge of {{functional or object-oriented}} programming Ability to write well-documented, clean Javascript code Rock solid at working with third-party dependencies and debugging dependency conflicts Familiarity with native build tools, like XCode, Gradle {{Android Studio, IntelliJ}} Understanding of REST APIs, the document request model, and offline storage Experience with automated testing suites, like {{Jest or Mocha}}
Your Responsibilities
Maintain and enhance a product roadmap in line with the organisational objectives
Hypothesise, test, build, enhance - all journeys across different touch points on the platform across web and app
Create frictionless experiences to a one of its kind offering at scale
Manage data reporting and visibility across business and operations
Work closely with Design and Tech, and manage sprints within this pod, to bring about the outcomes in a timely and effective manner
Deliver MRDs and PRDs with prioritized features and corresponding justification
Work with external third parties to assess partnerships and licensing opportunities
Required Skills and Experience
3+ years experience managing consumer facing products
Wireframing and Prototyping
Process management
Good understanding of metrics and analytics platforms
Prior experience with BI tools is a plus












