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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.

Business Development

Objective:

To support lead generation, client outreach, and drive sales growth initiatives.

Key Responsibilities:

Research and qualify new business leads.

Assist in client presentations and communications.

Maintain CRM systems and manage follow-up pipeline effectively.

Tools You’ll Use:

• Lead Generation & Outreach: LinkedIn Sales Navigator, Apollo, Instantly
• CRM Platforms: HubSpot CRM, Zoho CRM

#HiringAlert

We are looking ".Net Architect" for Reputed Client @ Permanent Role

Experience: 10+ Years

Skills :

•Good understanding of the cross cutting architectural elements like Security (Authentication, Authorization, Distributed logging, tracing and Audit, Infra as Code, Database Design (SQL Server and MongoDB)

•Deep understanding of architectural concepts, issues and trends

•Expert knowledge in Object Oriented Principles and Design Patterns

•Expertise in n-tiered web architectures, SOA and related technologies (XML, SignalR , WCF, SOAP, REST, JSON, etc.)

•Strong technical expertise in the Relational Databases, No SQL DB (Ex: SQL Server, MongoDB), Web development and object-oriented methodologies.

•Must be a Team player able to work effectively at all levels of an organization with the ability to influence others to move toward consensus.

•Should review design and implementation of junior designers and developers on the quality of technical deliverables and adherence to quality process

•Excellent verbal and written communication skills.

Location : Chennai & WFO

• 3+ years of experience in Front-end developement using Angular/Angular.js
• Good understanding of Core JavaScript.
• In-depth knowledge of the Angular framework.
• Good command of TypeScript.
• Thorough knowledge of web markup, primarily focusing on HTML language and CSS.
• A degree of experience with RESTful API integration.

Responsibilities of candidate include:

• Calling and visiting customers 

• Collect payment

➢ Demonstrates ownership to resolve challenging customer issues, escalating 

when necessary.

➢ Call customers with overdue accounts. 

➢ understand and explain benefits of repayment and credit history of 

customer. 

➢ Correct customer misunderstanding on product policy and terms.

 ➢ Set up payment plan and follow-up schedule. 

➢ Educate customer on consequences for late payment.

 ➢ Escalate difficult or unusable case to team leaders. 

➢ Provide feedback on reason for default to team Leader.

Requires candidates who is fluent in English and Hindi or English and 2 South Indian Languages

Age criteria 20 to 29 Years

Location- KR Puram, Bangalore

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:

• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

We at Perilwise are building the digital infrastructure for the insurance industry. We're looking for a tech lead, someone who can lead the dev team, and take over the day to day activities of the tech lead from the founders.

We are building a revolutionary insurtech platform offering to the entire market(intermediaries, clients, and later insurers)

We're an exciting early stage startup growing fast, and are looking to build cutting edge products across the insurance value chain.

Experience levels: 4+ years. Previous leadership experience preferred but not necessary. These are guidelines, what’s most important for us is the candidate fit.