Associate Manager - Business Development

What You will do:

● Play the role of Data Analyst / ML Engineer

● Collection, cleanup, exploration and visualization of data

● Perform statistical analysis on data and build ML models

● Implement ML models using some of the popular ML algorithms

● Use Excel to perform analytics on large amounts of data

● Understand, model and build to bring actionable business intelligence out of data that is available in different formats

● Work with data engineers to design, build, test and monitor data pipelines for ongoing business operations







Basic Qualifications:

● Experience: 4+ years.

● Hands-on development experience playing the role of Data Analyst and/or ML Engineer.

● Experience in working with excel for data analytics

● Experience with statistical modelling of large data sets

● Experience with ML models and ML algorithms

● Coding experience in Python







Nice to have Qualifications:

● Experience with wide variety of tools used in ML

● Experience with Deep learning







Benefits:

● Competitive salary.

● Hybrid work model.

● Learning and gaining experience rapidly.

● Reimbursement for basic working set up at home.

● Insurance (including a top up insurance for COVID

Responsibilities:

· Develop and maintain cross-platform mobile applications (Android and iOS) using Flutter framework.

· Implement robust and scalable solutions using best practices for state management (e.g., Provider, BLoC, or Riverpod) and architectural patterns (e.g., MVVM, Clean Architecture).

· Integrate with backend APIs (PHP/Laravel) to deliver seamless functionality.

· Collaborate with the design team to create engaging and user-friendly interfaces.

· Optimize application performance and ensure responsiveness.

· Write clean, well-documented, and testable code.

· Participate in code reviews and contribute to improving code quality.

· Troubleshoot and debug issues, and provide timely resolutions.

· Contribute to the continuous improvement of the development process.

· Mentor junior developers (if applicable).

Qualifications:

· 4+ years of experience in mobile application development, with a strong focus on Flutter.

· Deep understanding of Flutter framework, including state management, UI widgets, and asynchronous programming.

· Experience with integrating RESTful APIs.

· Solid understanding of object-oriented programming principles.

· Familiarity with version control systems (e.g., Git).

· Excellent problem-solving and debugging skills.

· Strong communication and collaboration skills.

· Experience with Firebase and Google Cloud Platform is a plus.

Experience in the healthcare domain is a plus.

The Sr. Analytics Engineer would provide technical expertise in needs identification, data modeling, data movement, and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.

Understands and leverages best-fit technologies (e.g., traditional star schema structures, cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges.

Provides data understanding and coordinates data-related activities with other data management groups such as master data management, data governance, and metadata management.

Actively participates with other consultants in problem-solving and approach development.

Responsibilities :

Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs.

Perform data analysis to validate data models and to confirm the ability to meet business needs.

Assist with and support setting the data architecture direction, ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level.

Coordinate and consult with the Data Architect, project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels.

Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture.

Coordinate with Data Architects, Program Managers and participate in recurring meetings.

Help and mentor team members to understand the data model and subject areas.

Ensure that the team adheres to best practices and guidelines.

Requirements :

- Strong working knowledge of at least 3 years of Spark, Java/Scala/Pyspark, Kafka, Git, Unix / Linux, and ETL pipeline designing.

- Experience with Spark optimization/tuning/resource allocations

- Excellent understanding of IN memory distributed computing frameworks like Spark and its parameter tuning, writing optimized workflow sequences.

- Experience of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redshift, Bigquery, Cassandra, etc).

- Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc.

- Have a deep understanding of the various stacks and components of the Big Data ecosystem.

- Hands-on experience with Python is a huge plus

Responsibilities

• Product Strategy: Develop and communicate product vision, strategy, and roadmap.
• Requirement Gathering: Identify and prioritize product requirements through user research.
• Project Planning and Management: Define project goals, milestones, and manage timelines.
• Data Management: Oversee data collection, storage, and quality assurance.
• Machine Learning Models: Collaborate on AI algorithm development and model training.
• User Experience (UX): Advocate for intuitive and user-friendly AI product interfaces.
• Product Launch and Adoption: Plan and execute successful product launches.
• Performance Monitoring and Improvement: Track metrics and propose enhancements.
• Stakeholder Communication: Facilitate communication between technical and non-technical teams.
• Market and Industry Awareness: Stay informed on AI trends and regulatory requirements.

Requirements

• Education: Bachelor’s or master’s degree in computer science, engineering, data science, or related fields with 5+ years’ experience as a product manager and at least 2 years in AI domain.
• Technical Knowledge: Strong understanding of AI, machine learning, and data analysis.
• Product Management Experience: Previous experience in product management or related roles.
• AI Domain Expertise: Proficiency in AI applications and ethical considerations.
• Analytical and Problem-Solving Skills: Ability to analyse complex data and solve problems.
• Communication and Collaboration: Excellent interpersonal and communication skills.
• Leadership and Project Management: Strong leadership and project management abilities.
• User-Centric Mindset: Understanding of user needs and usability testing skills.
• Business Acumen: Knowledge of business principles and market dynamics.
• Adaptability and Learning Agility: Openness to new technologies and continuous learning.

• Minimum 2 years of experience. Individuals with a higher degree of expertise will be considered for senior opportunities
• Minimum Bachelor Degree in Computer Science, Computer Engineer or related fields
• Experience working with and presenting summaries of large datasets
• Experience working with JavaScript , Reactnative and frontend frameworks
• Experience on system designs and architecture.
• Working experience with large, complex Enterprise dashboards is a plus.
• Passionate about innovating, learning new skills and technology
• Comfortable working on frontend and backend tasks is a plus

What we're looking for:

We are looking for an experienced technical project manager who is expected to work with various stakeholders to provide status updates as needed, mitigate project risks, anticipate bottlenecks, quantify the impact of making tradeoffs, and balance business needs against technical constraints.

Position overview:

As part of the Searce Cloud and Software engineering Technical Project Management team, you will work closely with the Engineering teams, Cloud Architects and Delivery Managers, and a broad range of cross-functional teams to develop and manage the execution of best practices.  We will rely on your knowledge, expertise, and previous experience as a Technical Project Manager so that you can take an active role in working with the Cloud Engineering team through various stages of the project lifecycle, alignment of processes between Architecture, Service delivery management, definition and execution of new projects related to Cloud service delivery, cost management, compliance to name a few. 

Role Responsibilities: 

• Develop, maintain and scale effective Technical Project Management capability within Software / Cloud Engineering ensuring Searce meets and exceeds Availability, Performance, Security, Compliance and Cost goals in cloud service delivery  
• End to end management of cloud and data projects from enterprise customers across the globe
• Work with all key cross-functional teams including Sales, Cloud Engineering, Software engineering and business teams to convey the technical vision for Searce digital growth and contribute to the alignment of programs, projects, and processes within Searce
• Assist software engineering and solutions engineering  teams in project design and execution plans that meet or exceed defined customer requirements; assesses technology and execution risks and collaborates with stakeholders on decisions/strategy to achieve business goals
• Work with key stakeholders & management on process issues to address deficiencies impacting organization effectiveness
• Work with the project, program stakeholders to fully scope requirements
• Manage dependencies across multiple teams and initiatives
• Report progress and associated metrics
• Drive risks to mitigation

Basic Qualifications:

• Bachelor’s degree or equivalent in computer science or related field is preferred, with a minimum of 3+ years of directly related work experience in both small and large companies with 2+ years of technical project management
• Great track record of technical project management and experience in technical specialties, methodologies, and processes
• Proven leadership in identifying and influencing the business to employ specific technologies and best‐in‐class processes; experience in Agile methodologies required
• Have a technical understanding of the challenges and issues of complex, large‐scale cloud and data migration projects
• Experience with and proven success evaluating business requirements, identifying trends, and working to build processes/best practices around project delivery
• Working knowledge of Cloud – AWS and GCP and Node, React, Python, Django. 
• ITIL V3 Foundation and PMP Certification (Not Mandatory)

Responsibilities:

• Lead QA engineers into developing performance & functional test plans and test scenarios using requirements and product documentation while specifying testing overview, approach, strategy, scope, architecture, environment, roles and responsibilities
• Scope projects and estimate testing needs
• Design and implement testing methods for both end to end, and individual service layers of the application stack
• Identify bottlenecks in functionality and performance, and provide actionable information and suggestions based on analysis of testing results
• Communicate technical information clearly with both technical and non-technical teams
• Work closely with development engineers and management in a fast-paced technical environment

Requirements:

• 4-7 years experience in Quality Assurance of IT products
• Hands on experience in Test Automation using Selenium
• Experience Leading Testing Teams in both Manual and Automation Testing.
• Strong work ethic and accountability on Quality Assurance
• Experience in building SCRUM/Agile skills within the Testing Team
• Exercise independent thought and judgement and adapt to new tasks
• Experience in Performance Testing is mandatory.
• Experience in Security Testing is a plus, but not mandatory