Business Development Associate-US

What essential skills do you need?

• Able to demonstrate good technical & problem solving skills
• Possess relevant hands-on experience with developing automation scripts using tools like protractor, selenium, rest assured, cucumber, POM model etc.
• Should be ready to explore, learn and develop solutions for problems

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

mandatory Skills:

• Design for plastic products
• Design for sheet metal products
• Design for manufacturing
• Product assembly and functional testing
• Drafting for machine shop vendors

Experience-

4-6 yrs

8+ years backend engineering experience in production systems

Proven experience architecting large-scale distributed systems (high throughput, low latency, high availability)

Deep expertise in system design including scalability, fault tolerance, and performance optimization

Experience leading cross-team technical initiatives in complex systems

Strong understanding of security, privacy, compliance, and secure coding practices

Typescript

fintech background

We are looking for an experienced QA Manager to oversee and manage the Quality Assurance (QA) process for a critical project. The role involves coordinating with multiple stakeholders (clients and vendors), ensuring QA transparency, tracking bugs, keeping QA activities on schedule, and providing overall QA reporting.

Key Responsibilities:

• Act as the primary point of contact for all QA-related activities across multiple stakeholders.
• Manage and coordinate the QA process, ensuring smooth collaboration between the client and vendors.
• Utilize ASANA to track and manage QA tasks, issues, and progress.
• Ensure transparency in QA issues by maintaining comprehensive documentation and reporting.
• Track and monitor bug resolution progress while ensuring timely follow-ups.
• Provide regular status updates and reports on QA activities, issues, and resolutions.
• Identify and mitigate potential QA risks and bottlenecks.
• Work closely with development, product, and vendor teams to ensure quality standards are met.
• Establish and enforce QA best practices and process improvements.
• Ensure QA efforts align with project timelines and overall business objectives.

Required Skills & Qualifications:

• Proven experience as a QA Manager or in a similar QA leadership role (10+ years).
• Hands-on experience with ASANA for project and task management (4-5 years).
• Strong stakeholder management skills with the ability to coordinate between clients and vendors.
• Experience in bug tracking and defect management.
• Excellent reporting and documentation skills.
• Strong understanding of QA methodologies, testing processes, and best practices.
• Ability to identify risks and proactively resolve QA challenges.
• Experience working in agile environments is a plus.
• Strong communication and interpersonal skills.
• Flexibility to work in the New York time zone (onshore or offshore).

Time: As per NY time zone (6 pm - 3 am)

Location: Mumbai/Remote

ROLES AND RESPONSIBILITIES:

·       Working with technical architects, able to convert the architecture into design and code in Java (Spring Boot), AngularJS, and NodeJS.

·       Able to generate LLD documents.

·       Ability to write Quality code with minimum defects.

·       Unit Test and following the coding standards.

·        

PREFERRED QUALIFICATION AND SKILLS:

·       5+ years strong programming and logical skills in Java (Spring Boot), AngularJS, Object Oriented Java script, NodeJS and HTML5

·       Hands on Experience on Java (Spring Boot), and MySQL is mandatory. Must have completed at least 2 full projects using Spring boot and AngularJS.

·       Excellent knowledge and experience in Spring JPA, RESTful webservices implementation.

·       NodeJS experience is value add

·       Should have participated in, and be familiar with, Agile (Scrum) project methodology and practices.

·       Must be able to mentor and guide junior technical resources.

·       One who is proactive and come forward with technology related initiatives. Motivated self-starter. 

·       Good Communication skills. English - Oral and Written.

• Experience in end to end recruitment and account management.
• Source candidates using a variety of search methods to build a robust candidate pipeline
• Screen candidates by reviewing resumes and performing screenings
• Stay abreast of recruiting trends and best practices
• Manage the overall interview, selection, and closing process
• Handle IT recruitment for clients
• Client interaction and managing client expectations
• Work in a target driven environment