Front End Developer

Strong Lead Data Science, / AI Engineer / Machine Learning Engineer profiles.

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Mandatory (Experience 1) - Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience building production-grade ML systems.

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Mandatory (Experience 2) - Must have hands-on experience building AI/ML solutions for Credit Risk, Fraud Risk Management (FRM), Collections & Recovery, with proven delivery of business-impacting AI/ML solutions.

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Mandatory (Experience 3) - Candidate's Current designation must be Lead or above.

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Mandatory (Experience 4) - Must have strong experience designing and deploying large-scale distributed Machine Learning systems, including model training, fine-tuning, inference, scalable serving, and production deployment.

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Mandatory (Experience 5) - Strong programming experience in Python, along with exposure to Spark, Kafka, Kubernetes, APIs/Microservices, CI/CD, Feature Store, Model Registry, and Distributed Computing.

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Mandatory (Experience 6) - Experience designing and deploying Credit Risk Models, Fraud Detection Models, Graph ML, Early Warning Systems, Portfolio Monitoring, Collections Optimization, Propensity Models, and Recovery Forecasting.

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Mandatory (Experience 7) - Proven experience leading AI/ML teams, owning end-to-end delivery, mentoring engineers, driving cross-functional execution, and managing production AI platforms.

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Mandatory (Experience 8) – Must have experience working under BFSI governance, including PII handling, auditability, model governance, compliance, secure-by-design architecture, approval workflows, and model risk management practices.

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Mandatory ( Education ) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered

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Mandatory (Age) - Candidate's Age should be below 37 years.

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Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

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Preferred (Experience 1) - Candidates currently working as Lead / Principal / Engineering Manager / Associate Director / Director in reputed Product, FinTech, Banking, NBFC, or Global Capability Centers will be preferred.

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Preferred (Experience 2) - Indian professionals currently working overseas (NRI) who are planning to relocate and permanently settle in India are encouraged to apply.

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Preferred (Experience 4) - Experience building enterprise AI platforms using Graph ML, Vector Databases, LLM-enabled decisioning, distributed training frameworks, and large-scale AI infrastructure.

Required Qualifications

• 10+ years of experience in data science, marketing analytics, or applied measurement, with 4+ years directly managing and developing data scientists.
• Deep expertise in Marketing Mix Modeling (MMM): methodology, tooling, business integration, and stakeholder communication.
• Strong working knowledge of marketing attribution, incrementality testing, and causal inference methods (geo-testing, diff-in-diff, synthetic controls, uplift modeling).
• Experience with performance forecasting and budget optimization in a marketing context.
• Demonstrated ability to lead a team of data scientists—setting direction, developing careers, and maintaining a high bar for quality and impact.
• Proven ability to manage and influence senior stakeholders across functions and geographies.
• Strong executive communication skills: comfortable presenting complex methodology and business implications to senior marketing and business leaders.
• Deep proficiency in SQL and Python or R; experience operating in production analytics environments.
• Comfort operating in a globally distributed team environment with US-based counterparts.

Nice to Have

• Experience at a high-growth Indian consumer tech company
• Exposure to offline marketing analytics, brand measurement, or upper-funnel attribution.
• Experience scaling and modernizing legacy marketing measurement infrastructure.
• Familiarity with dbt, Databricks, Snowflake, Airflow, or comparable data infrastructure.
• Experience building or managing analytics teams across multiple geographies.

What Sets You Apart

• You build measurement frameworks that marketing leaders actually use to make decisions—not just deliver reports
• You develop high-performing teams, not just high-performing models
• You communicate across the spectrum—from walking an analyst through a causal design to presenting budget implications to a CMO
• You hold a high bar for analytical credibility while being pragmatic about delivery timelines
• You build strong cross-geography partnerships and make distributed teams work effectively
• You stay technically grounded even as your scope grows—you know when to go hands-on and when to step back
• 
  

Data Delivery Manager is responsible for managing and overseeing the end-to-end delivery of data

solutions, from data architecture and ingestion to processing, analysis, and reporting. This role

ensures that data projects are completed on time, within scope, and aligned with business

objectives. The Data Delivery Manager works with cross-functional teams, including data

engineers, analysts, and other stakeholders, to deliver high-quality data solutions. Key

Responsibilities: Project and Program Management: o Lead and manage the delivery of data-

driven projects, ensuring they are completed on time and within budget. o Develop and maintain

project plans, timelines, and resource allocation. o Monitor project progress and proactively

identify risks, implementing solutions to ensure successful project completion. o Ensure alignment

between data initiatives and business goals, maintaining continuous communication with

stakeholders. Stakeholder Engagement: o Serve as the primary point of contact between business

stakeholders and the data team, translating business requirements into technical specifications. o

Collaborate with business leaders to understand data needs and develop solutions that meet

those needs. o Provide regular updates on project status, risks, and key deliverables to

stakeholders and leadership teams. o Facilitate meetings to gather requirements and

communicate project milestones. Data Strategy & Architecture: o Oversee the design and

implementation of data solutions that support business objectives. o Ensure adherence to data

governance and quality standards throughout the data pipeline lifecycle. o Collaborate with data

architects to define scalable, secure, and high-performance data architectures. o Support data

integration initiatives across different platforms, ensuring smooth and efficient data flow. Team

Leadership and Development: o Manage cross-functional teams of data engineers, analysts, and

other professionals to deliver projects effectively. o Provide leadership and mentoring to team

members, fostering a culture of collaboration, innovation, and continuous learning. o Set clear

expectations, performance goals, and career development opportunities for the team. o Address

and resolve any team challenges, ensuring high levels of productivity and motivation. Quality

Assurance: o Ensure the accuracy, reliability, and quality of data solutions by implementing robust

testing, validation, and review processes. o Develop and enforce data standards, best practices,

and methodologies to ensure consistent, high-quality deliverables. o Drive continuous

improvement initiatives, analyzing past projects and identifying areas for enhancement. Risk

Management and Troubleshooting: o Identify potential risks to project delivery, including data

pipeline issues, resource shortages, or technical blockers, and implement mitigation strategies. o

Troubleshoot and resolve data-related issues and challenges during the project lifecycle.

Reporting and Analytics: o Oversee the creation and maintenance of data dashboards, reports, and

performance metrics. o Ensure that data solutions provide actionable insights for the business,

driving informed decision-making. Experience: o 5+ years of experience in managing programs

related to data management, data engineering, or analytics. o Proven track record in managing

data projects and delivering data solutions in a timely manner. o Experience with data integration,

data warehousing, and data modeling. o Strong understanding of data pipeline management, ETL

processes, and data analytics. Skills: o In-depth knowledge of data management tools and

technologies (e.g., SQL, NoSQL, ETL tools, cloud platforms such as AWS, Google Cloud, or Azure).

o Proficient in project management methodologies (Agile, Scrum, Waterfall). o Strong leadership

and team management skills, with the ability to drive collaboration across different functions. o

Excellent communication skills with the ability to translate complex data-related concepts into

understandable terms for non-technical stakeholders. o Analytical mindset with strong problem-

solving abilities. o Knowledge of data visualization and reporting tools (e.g., Power BI, Tableau,

Looker) is a plus. Certifications: o Project Management Professional (PMP) or Scrum Master

certification (preferred). o Data-related certifications (e.g., AWS Certified Big Data, Google

Professional Data Engineer) are a plus. Preferred Skills: o Experience with big data technologies

(e.g., Hadoop, Spark, Kafka). o Familiarity with machine learning or AI applications related to data

solutions. o Experience with data governance and compliance (e.g., GDPR).

• Degree in Computer Science or a related field

• You have prior experience as an iOS Developer

• You have a portfolio of released applications on the App Store

• You are familiar with mobile product and design lifecycles

• You have proven experience in iOS development in either Objective-C / Swift

• Experience with iOS frameworks

• Familiarity with RESTful APIs to effectively integrate iOS applications

• Proficient understanding of code versioning tools (eg. Git)

• Familiarity with various testing tools

• You are a problem solver with good analytical skills

Location: Rajarhat, Kolkata

Experience: 8 years and above

Salary: upto 15 lakhs

Qualification: B. Tech/ B.E./ MBA

Responsibilities:

• Assess change proposals and define solutions to help the organization to achieve its goals.
• Discover, organise and clarify business needs and review/produce applications for change.
• Prioritize requirements from various stakeholders.
• Technical documentation.

Skills:

• 4 - 5 years experience in technical documentation.
• Sound knowledge and experience with Agile.
• Experience in app making and web programming.

Introduction

http://www.synapsica.com/">Synapsica is a https://yourstory.com/2021/06/funding-alert-synapsica-healthcare-ivycap-ventures-endiya-partners/">series-A funded HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don't have to rely on cryptic 2 liners given to them as a diagnosis. 

Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyse medical images and create v2.0 of advanced radiology reporting.  We are backed by IvyCap, Endia Partners, YCombinator and other investors from India, US, and Japan. We are proud to have GE and The Spinal Kinetics as our partners. Here’s a small sample of what we’re building: https://www.youtube.com/watch?v=FR6a94Tqqls">https://www.youtube.com/watch?v=FR6a94Tqqls

Your Roles and Responsibilities

The Application Manager is responsible for building and growing the Synapsic's radiology AI platform - Radiolens. The Application Manager works with product managers and team to create designs for various components of the application, to meet the application’s goals of providing fast and seamless radiology reporting while maintaining scale and extensibility. The Application Manager works with a team of engineers to build these components and owns the end-to-end delivery. The role requires an understanding of various technology choices and a deep understanding of Javascript, React, Nodejs, Mongodb, Python technologies to make right tools and technology choices and then create modules and programs using those technologies.

This is a highly visible role working directly with founders and requires a mix of technical acumen and team leadership skills to drive the execution of the platform. This person must be creative, ask questions, and be comfortable challenging the status quo. The position is based in our Bangalore office.

Primary Responsibilities

• Own end-to-end application development 
• Work along with product managers and teams to ideate, execute and deliver end-to-end software solutions. 
• Design, build and develop full stack apps with microservices.
• Ensure analysis, efficiency, responsiveness, scalability and cross-platform compatibility of applications through captured  metrics, testing frameworks, and debugging methodologies.
• Collaborate with Artificial Intelligence, data and other teams to integrate other products with the application
• Technical documentation through all stages of development
• Create design, develop modules, and coordinate efforts with the development team, working on application architectural implementation
• Guide and manage development team on all deliverables, including technical design, logical and physical design of the solution, coding, testing, and debugging
• Collaborate with Product Analysts and Product Managers to estimate and plan work and provide status updates to stakeholders
• Create a close working relationship with business partners to identify the pain points and provide better experience to clients
• Establish strong relationships, and proactively communicate, with team members as well as individuals across the organisation

Requirements

• Degree in Computer Science or related discipline with 6-10 years of experience.
• Proficiency with server side languages such as Nodejs, Python, shell scripting
• Hands on with Reactjs or similar framework/library.
• Proficiency with at least one no-sql database such as MongoDB.
• Experience with platform components and REST APIs, to define platform interfaces and boundaries
• Experience creating a loosely coupled, services oriented design that can scale for large volumes of data
• Experience supporting extensibility, to plug new modules or services without requiring re-design
• Expertise in object oriented programming and applying OO principles patterns
• Good command over CI/CD processes.
• Excellent communication and collaboration skills with project members and stakeholders.
• Good problem solving skills.
• Detail-oriented, eager to learn, acquire new skills
• Very high sense of ownership.
• Deep interest and passion for technology
• Prior experience of leading software teams
• Ability to plan projects, execute them and meet the deadline

About the role:

What we are looking for? 

• Strong proficiency in MySQL database administration, migrations /up-gradation, patching, cloning, capacity planning, designing and automation of database tasks.
• Good experience with latest versions of the database
• In-depth experience configuring database replication on multiple versions
• Strong experience in Monitoring, DB Performance Tuning, DB Availability, DR, Security, Storage
• Analyzes and provides recommendations to optimize database for improved performance, manageability and scalability
• Expertise in enterprise backups, recovery and performing point in-time recovery Experience in deploying and integrating PMM tools
• Experience in data partitioning and encryption
• Knowledge of de-facto standards and best practices in MySQL and MongoDB
• Proficient in writing and optimizing SQL statements and Knowledge of MySQL features, such as its event scheduler
• Familiarity with other SQL/NoSQL databases such as PostgreSQL, MongoDB, etc.
• Knowledge of limitations in MySQL and their workarounds in contrast to other popular relational databases
• Proficient understanding of code versioning tools such as Git / Mercurial / SVN

Responsibilities:

• Design, develop, and maintain software applications.
• Go the extra mile to identify customer needs and pain-points. 
• Relentless focus on delivering high quality, bug-free code.
• Help and mentor those around you to achieve the team and company goals.
• Closely work with the SRE and DevOps team to set up microservices infrastructure. 
• Maintaining and auditing code/design quality as per set guidelines and standards in assigned projects.
• Testing of completed tasks in ongoing projects in the team before sending updates to reporting authority/client.
• Participate in application design, code reviews and documentation.

Requirements:

• Experience in agile development process.
• Excellent knowledge of HTML5, CSS3.
• Excellent knowledge of JavaScript.
• Experience with cross-browser, cross-platform and design constraints on the web
• Good understanding and experience of working on Vue.js/React.js.
• Prior experience building REST APIs
• Hands-on experience with Node.js/Golang/Java + Redis + Elasticsearch.
• Experience with AWS/GCP is a plus
• Knowledge of version control systems like GIT.
• Experience in developing automated unit and functional tests
• 1+ years of experience with a Bachelor's in Computer Science or related field