
Machine Learning Engineer
at Contact Center software that leverages AI to improve custome
As a machine learning engineer on the team, you will
• Help science and product teams innovate in developing and improving end-to-end
solutions to machine learning-based security/privacy control
• Partner with scientists to brainstorm and create new ways to collect/curate data
• Design and build infrastructure critical to solving problems in privacy-preserving machine
learning
• Help team self-organize and follow machine learning best practice.
Basic Qualifications
• 4+ years of experience contributing to the architecture and design (architecture, design
patterns, reliability and scaling) of new and current systems
• 4+ years of programming experience with at least one modern language such as Java,
C++, or C# including object-oriented design
• 4+ years of professional software development experience
• 4+ years of experience as a mentor, tech lead OR leading an engineering team
• 4+ years of professional software development experience in Big Data and Machine
Learning Fields
• Knowledge of common ML frameworks such as Tensorflow, PyTorch
• Experience with cloud provider Machine Learning tools such as AWS SageMaker
• Programming experience with at least two modern language such as Python, Java, C++,
or C# including object-oriented design
• 3+ years of experience contributing to the architecture and design (architecture, design
patterns, reliability and scaling) of new and current systems
• Experience in python
• BS in Computer Science or equivalent

Similar jobs
We are looking for a MuleSoft RPA & IDP Developer with at least 5 years of experience in developing and implementing MuleSoft-based automation and integration solutions. The ideal candidate should be proficient in MuleSoft RPA (Robotic Process Automation) and IDP (Intelligent Document Processing) and have hands-on experience with Mule ESB, Anypoint Platform, API Management, and integration workflows.
- Key Responsibilities:Develop and implement automation solutions using MuleSoft RPA & IDP.
- Design and build integration flows using Mule ESB, Anypoint Platform, and API Management.
- Create and configure MuleSoft Connectors for seamless data exchange between systems.
- Optimize business processes by integrating automation solutions into enterprise applications.
- Troubleshoot and debug integration issues to ensure seamless data flow and automation.
- Collaborate with stakeholders to gather requirements and implement best practices for integration.
- Ensure compliance with security standards and industry best practices.
- Required Skills & Experience:5+ years of experience in MuleSoft development, including Mule ESB, Anypoint Platform, API Management.
- Hands-on experience with MuleSoft RPA & IDP for automating business processes.
- Strong experience in designing RESTful APIs, SOAP services, and DataWeave transformations.
- Expertise in integrating cloud-based and on-premise applications using MuleSoft Connectors.
- Knowledge of error handling, logging, security, and performance optimization in MuleSoft.
- Experience in CI/CD deployment processes for MuleSoft applications.
- Strong problem-solving skills and ability to work independently.
- Preferred Qualifications:MuleSoft Certifications (MuleSoft Certified Developer / Architect)
- Experience with Java, Spring Boot, and other integration tools is a plus.
- Prior experience in banking, healthcare, or financial domains is a bonus.
- Application Process:Immediate joiners preferred. Candidates currently serving their notice period and available to join before month-end will be given priority.
Skills: Python,robot Framework,Automation Testing,Selenium
Requirement:
- B.E/B.Tech Degree from a reputed institution with at least 4 years of relevant experience.
- Hands-on experience with test automation using Python or Java.
- Experience with test frameworks such as Robot Framework or TestNG.
- Traffic generation tools usage such as curl-loader or JMeter.
- QA engineers for Networking Technology products such as switches, routers, L4-L7 products testing can also apply.
- Knowledge of public clouds, AWS, Azure or GCP, is desired.
- Working knowledge in Kubernetes, Docker or Openshift environments required.
- Hands on experience with Linux.
- Strong problem solving and debugging abilities.
- Familiarity with continuous integration tools such as Jenkins or CircleCI.
- Interest in machine learning (ML) and data science is a plus.
JOB DESCRIPTION
Senior Software Engineer
It is a fish and seafood supply chain platform.It is a B2B marketplace leveraging technology to deliver the fastest harvest-to-retail in the industry.Building the future of meat and seafood supply chain.We are building smart supply chain to deliver the highest quality seafood and meat for the Indian consumer. Our innovations in process management and workforce orchestration along with strong industry credentials are enabling us to deliver the fastest harvest-to-fork in the industry.Our endeavor is to leverage experience across various parts of the value chain – farming, production, delivery to marquee brands – to deliver similar value to the Indian consumers.
Role
As a senior software engineer, you will contribute to our end to end supply chain platform. You'll work with all key stakeholders to deliver scalable, maintainable backend code and work with frontend developers to deliver amazing user experiences. We are building a design and process-centric culture where you'll play a key role in the implementation of the foundation of all our systems. Up for a challenge?
You are:
- A self-starter with a sense of what it takes to be successful as a team
- Agile - welcome change, do as less as possible and embrace continuous delivery
- Conscious about how quality is carried through from the UI to all layers underneath
- Opinionated, but flexible to accommodate the big picture
Responsibilities
- Analyse requirements, provide estimates and deliver code in an agile setup
- Stay on top of all owned work and raise red flags as early as possible
- Define the architecture, best practices and coding standards
- Support continuous technical improvement by investigating alternatives and technologies and present them for architectural review
- Motivate team members, coach junior members and extend goodwill to other employees
Must have
- Prior startup experience, preferably with war stories to share
- 4-6 years of software industry experience
- Solid understanding of software design, development, testing, and problem-solving
- Expertise in coding efficient, high quality and modularized software
- Expertise in JavaScript, node.js based backend development
- Expertise in common design patterns and anti-patterns in Javascript
- Experience in building and scaling service-oriented architecture and microservices
- Expertise in relational and non-relational databases and expertise in at least one database system
- Experience with planning, execution and maintenance of test infrastructure for backend workflows
- Experience with CI/CD and setting up a monitoring infrastructure
- Knowledge of AWS, specifically building scalable cloud-native architectures using services like Lambda, AWS Gateway, Aurora, etc
- Knowledge of Unix shell and source control systems and tools such as git
- Strong technical leadership skills
- Strong communication skills
- Technical mentoring skills
Great to have
- Experience with GraphQL, meteor.js and other modern JS ecosystems
- Experience with blockchain and interest in ML
- Experience working on high traffic systems
- Bachelor’s degree in Computer Science or a related discipline.
- 5+ years of experience in a Data Engineering role on cloud environment
- Must have good experience in Scala/PySpark (preferably on data-bricks environment)
- Extensive experience with Transact-SQL.
- Experience in Data-bricks/Spark.
- Strong experience in Dataware house projects
- Expertise in database development projects with ETL processes.
- Manage and maintain data engineering pipelines
- Develop batch processing, streaming and integration solutions
- Experienced in building and operationalizing large-scale enterprise data solutions and applications
- Using one or more of Azure data and analytics services in combination with custom solutions
- Azure Data Lake, Azure SQL DW (Synapse), and SQL Database products or equivalent products from other cloud services providers
- In-depth understanding of data management (e. g. permissions, security, and monitoring).
- Cloud repositories for e.g. Azure GitHub, Git
- Experience in an agile environment (Prefer Azure DevOps).
Good to have
- Manage source data access security
- Automate Azure Data Factory pipelines
- Continuous Integration/Continuous deployment (CICD) pipelines, Source Repositories
- Experience in implementing and maintaining CICD pipelines
- Power BI understanding, Delta Lake house architecture
- Knowledge of software development best practices.
- Excellent analytical and organization skills.
- Effective working in a team as well as working independently.
- Strong written and verbal communication skills.
- Expertise in database development projects and ETL processes.
Key Responsibilities
- Build Products for Factories that help them in improving their Customer Retention on the Platform
- Drive the Customer Retention Metric both at a Platform and at the Factory Level
- Improve Product Discovery on the Retailer App to enhance new retailer Acquisitions for factories
- Drive the execution of all product lifecycle processes for the growth of Factory
- Distribution product, including product research, market research, competitive analysis, planning, positioning, roadmap development, requirements development, and product launch
- Assess current competitor offerings, seeking opportunities for differentiation
- Analyze consumer needs, current market trends, and potential partnerships from an ROI and build vs. buy perspective
- Create product strategy documents that describe business cases, high-level use cases, technical requirements, revenue, and ROI
- Translate product strategy into detailed requirements for prototype construction and final product development by engineering teams
- Collaborate closely with engineering, production, marketing, and sales teams on the development, QA, and release of products and balance of resources to ensure success for the entire organization
- Implement, and maintain production timelines across multiple departments
- Appraise new product ideas and strategize appropriate to-market plans
Key requirements:
- Engineering or an MBA graduate from a reputed university
- 4+ years of product management experience, preferably with consumer and/or b2b startups that have attained scale
- Experience identifying business opportunities, building a product strategy, and influencing deliver against a multi-year roadmap
- Understands core technologies utilised in their product domain and is fluent in pros and cons of technical alternatives
- Good understanding of acquisition and retention funnels
- Demonstrated ability to achieve goals in a fast paced and an unstructured environment. Thrives in ambiguity and rapidly changing environment
- Hands-on experience of both qualitative and quantitative research methods such as AB testing, data analytics, and user research
- Robust understanding of complex and scalable technical architecture for web and mobile applications
- Problem solver with strong analytical skills and comfort with data
- Excellent verbal and written communication skills
Should have Business Intelligence Experience in a data warehouse environment
Should have good experience in writing Power Query, DAX, MDX for complex data projects
Good on Rest Services including the API documentation.
Should have Experience authoring, diagnosing, and altering SQL Server objects and T-SQL
queries
Should have worked on Tabular models in Azure Analysis Services or SSAS
Should have Experience in Microsoft Azure Platform








