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We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.

About the Role

We are looking for a skilled Backend Engineer with strong experience in building scalable microservices, integrating with distributed data systems, and deploying web APIs that serve UI applications in the cloud. You’ll work on high-performance systems involving Kafka, DynamoDB, Redis, and other modern backend technologies.

Responsibilities

• Design, develop, and deploy backend microservices and APIs that power UI applications.
• Implement event-driven architectures using Apache Kafka or similar messaging platforms.
• Build scalable and highly available systems using NoSQL databases (e.g., DynamoDB, MongoDB).
• Optimize backend systems using caching layers like Redis to enhance performance.
• Ensure seamless deployment and operation of services in cloud environments (AWS, GCP, or Azure).
• Write clean, maintainable, and well-tested code; contribute to code reviews and architecture discussions.
• Collaborate closely with frontend, DevOps, and product teams to deliver integrated solutions.
• Monitor and troubleshoot production issues and participate in on-call rotations as needed.

Required Qualifications

• 3–7 years of professional experience in backend development.
• Strong programming skills in one or more languages: Java, Python, Go, Node.js.
• Hands-on experience with microservices architecture and API design (REST/gRPC).
• Practical experience with Kafka, RabbitMQ, or other event streaming/message queue systems.
• Solid knowledge of NoSQL databases, especially DynamoDB or equivalents.
• Experience using Redis or Memcached for caching or pub/sub mechanisms.
• Proficiency with cloud platforms (preferably AWS – e.g., Lambda, ECS, EKS, API Gateway).
• Familiarity with Docker, Kubernetes, and CI/CD pipelines.

Job Description

We are seeking a talented and experienced Java SpringBoot Microservices Developer

to join our dynamic development team. As a Java SpringBoot Microservices Developer,

you will be responsible for designing, developing, and maintaining scalable and

high-performance microservices-based applications using Java and SpringBoot

frameworks.

Responsibilities:

● Collaborate with cross-functional teams to gather and analyze requirements for

the development of microservices applications.

● Design, develop, and implement robust and scalable microservices using Java

and SpringBoot.

● Build RESTful APIs and integrate them with external systems as required.

● Ensure the performance, security, and reliability of the microservices through

thorough testing and debugging.

● Participate in code reviews to ensure code quality, maintainability, and adherence

to coding standards.

● Troubleshoot and resolve technical issues related to microservices and their

integration with other components

● Continuously research and evaluate emerging technologies and industry trends

related to microservices and recommend improvements to enhance application

development.

Requirements:

● Bachelor's degree in Computer Science, Software Engineering, or a related field.

● Strong experience in Java development, specifically with SpringBoot framework.

● Proficiency in designing and developing microservices architectures and

implementing them using industry best practices.

● Solid understanding of RESTful API design principles and experience in building

and consuming APIs.

● Knowledge of cloud platforms and experience with containerization technologies

(e.g., Docker, Kubernetes) is highly desirable.

● Familiarity with agile development methodologies and tools (e.g., Scrum, JIRA) is

a plus.

● Excellent problem-solving and analytical skills with a keen attention to detail.

● Effective communication and collaboration skills to work effectively within a team

environment.

If you are a passionate Java developer with a strong focus on building scalable

microservices applications using SpringBoot, we would love to hear from you. Join our

team and contribute to the development of cutting-edge solutions that deliver

exceptional user experiences.

To apply, please submit your resume and a cover letter outlining your relevant

experience and achievements in Java SpringBoot microservices development.

• Java – Spring, Hibernate, Data Structures & Algorithms
  • Knowledge on a Database system.
  3+ years of experience in software development.

Preferably BE/B-Tech engineering degree, but not a must.
• 3 years’ experience developing server-side Java – Spring, Hibernate and REST
• Full-SDLC cycle, with large-scale live roll-out participation as a developer.
• Expert understanding of the object-oriented design and programming concepts
• Good understanding of relational and non-relational database/datastores/caches best practices and challenges
• Have a passion for quality and writing clean, solid, readable code that scales and performs well
• Proficient in Git and familiarity with continuous integration
• A team player who values collaboration, innovation, and inclusion
• Comfortable working in an Agile environment
• Strong verbal and written communication skills

Job Responsibility: 

• Interacts with customers, company sales and/or service representatives via telephone, email, text, chat or through other social media platforms, to handle a variety of pre-sales or post-sales service functions. Analyzes requests, provide solutions or ascertains who best can provide the information, and routes the request to the appropriate department/individual 

• Resolves level 1 product or service problems by clarifying the customer's complaint; determining the cause of the problem; selecting and explaining the best solution to solve the problem; expediting correction or adjustment; following up to ensure resolution.

• Receives customer requests and prepares documents/trouble tickets related to processing returns (RMA), servicing and exchanges.

• Contributes to team effort by accomplishing team metrics and SLA   

• Provides all billing-related information to customers – helps in resolving any billing issues 

• Receives, processes and verifies the accuracy of requests from customers utilizing the company’s internal tools and systems 

• Ensures and provides quality service to both internal and external customers. 

• Receives inquiries and contacts the organization’s other departments to resolve a variety of account-related issues 

• Participates and provides expertise as a member of the Customer Care group 

• Attends regular meetings and feedback sessions 
  
  

We’re looking for an experienced Engineering Manager to lead a growing team of Engineers to help them build and maintain our products, effectively work on the right things at the right time and help them grow as better engineers along the way. A solid engineering as well as a management background is a must and you should have prior experience running an engineering team.

Responsibilities:

• Lead agile development and project planning
• Lead technical architecture discussion and quality code delivery
• Work with the engineering team, QA and Product teams to effectively run the product road map
• Keep everyone in the company informed on your team’s progress
• Work with the Support team to keep track of and triage technical issues and track it through to resolution
• Helping set and fulfill the engineering hiring plan for the team, including sourcing, screening, and interviewing
• Help implement effective engineering processes and policies
• Improve release process and managing bug/feature backlog

Requirements:

• 2+ years of engineering team management experience
• 5+ years of professional software development experience
• Should have worked on at least one of these programming languages (Python/Ruby/NodeJs)
• Excellent knowledge of best-practices and coding patterns
• You are proficient at reading and writing code and have built, shipped and maintained software
• You have experience in managing, coaching software developers to help them level up
• You have exceptional written and verbal communication skills and can communicate within your team and across teams
• You have good project management skills and can lead, keep track of and prioritize between multiple projects
• You are detail oriented and care about the quality of work that gets shipped
• You have been actively learning and keeping up with the industry both in terms of software development and product
• You are able to weigh several and often conflicting constraints and make rapid decisions in a fast-moving and quickly-growing company
• Engineering degree is must (B.E. CS preferred)

• Must have the experience of leading teams and drive customer interactions
• Must have multiple successful deployments user stories
• Extensive hands on experience in Apache Spark along with HiveQL
• Sound knowledge in Amazon Web Services or any other Cloud environment.
• Experienced in data flow orchestration using Apache Airflow
• JSON, XML, CSV, Parquet file formats with snappy compression.
• File movements between HDFS and AWS S3
• Experience in shell scripting and scripting to automate report generation and migration of reports to AWS S3
• Worked in building a data pipeline using Pandas and Flask FrameworkGood Familiarity with Anaconda and Jupyternotebook