Product Manager

Responsibilities

• Model Development and Optimization: Design, build, and deploy NLP models, including transformer models (e.g., BERT, GPT, T5) and other SOTA architectures, as well as traditional machine learning algorithms (e.g., SVMs, Logistic Regression) for specific applications.

• Data Processing and Feature Engineering: Develop robust pipelines for text preprocessing, feature extraction, and data augmentation for structured and unstructured data.

• Model Fine-Tuning and Transfer Learning:

Fine-tune large language models for specific applications, leveraging transfer learning techniques, domain adaptation, and a mix of deep learning and traditional ML models.

• Performance Optimization: Optimize model performance for scalability and latency, applying techniques such as quantization, ONNX formats etc.

• Research and Innovation: Stay updated with the latest research in NLP, Deep Learning, and Generative AI, applying innovative solutions and techniques (e.g., RAG applications, Prompt engineering, Self-supervised learning).

• Stakeholder Communication: Collaborate with stakeholders to gather requirements, conduct due diligence, and communicate project updates effectively, ensuring alignment between technical solutions and business goals.

• Evaluation and Testing: Establish metrics, benchmarks, and methodologies for model evaluation, including cross-validation, and error analysis, ensuring models meet accuracy, fairness, and reliability standards. • Deployment and Monitoring: Oversee the deployment of NLP models in production, ensuring seamless integration, model monitoring, and retraining processes. 

DATA ENGINEER

Overview

They started with a singular belief - what is beautiful cannot and should not be defined in marketing meetings. It's defined by the regular people like us, our sisters, our next-door neighbours, and the friends we make on the playground and in lecture halls. That's why we stand for people-proving everything we do. From the inception of a product idea to testing the final formulations before launch, our consumers are a part of each and every process. They guide and inspire us by sharing their stories with us. They tell us not only about the product they need and the skincare issues they face but also the tales of their struggles, dreams and triumphs. Skincare goes deeper than skin. It's a form of self-care for many. Wherever someone is on this journey, we want to cheer them on through the products we make, the content we create and the conversations we have. What we wish to build is more than a brand. We want to build a community that grows and glows together - cheering each other on, sharing knowledge, and ensuring people always have access to skincare that really works.

Job Description:

We are seeking a skilled and motivated Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, developing, and maintaining the data infrastructure and systems that enable efficient data collection, storage, processing, and analysis. You will collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to implement data pipelines and ensure the availability, reliability, and scalability of our data platform.

Responsibilities:

Design and implement scalable and robust data pipelines to collect, process, and store data from various sources.

Develop and maintain data warehouse and ETL (Extract, Transform, Load) processes for data integration and transformation.

Optimize and tune the performance of data systems to ensure efficient data processing and analysis.

Collaborate with data scientists and analysts to understand data requirements and implement solutions for data modeling and analysis.

Identify and resolve data quality issues, ensuring data accuracy, consistency, and completeness.

Implement and maintain data governance and security measures to protect sensitive data.

Monitor and troubleshoot data infrastructure, perform root cause analysis, and implement necessary fixes.

Stay up-to-date with emerging technologies and industry trends in data engineering and recommend their adoption when appropriate.

Qualifications:

Bachelor’s or higher degree in Computer Science, Information Systems, or a related field.

Proven experience as a Data Engineer or similar role, working with large-scale data processing and storage systems.

Strong programming skills in languages such as Python, Java, or Scala.

Experience with big data technologies and frameworks like Hadoop, Spark, or Kafka.

Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, or Oracle).

Familiarity with cloud platforms like AWS, Azure, or GCP, and their data services (e.g., S3, Redshift, BigQuery).

Solid understanding of data modeling, data warehousing, and ETL principles.

Knowledge of data integration techniques and tools (e.g., Apache Nifi, Talend, or Informatica).

Strong problem-solving and analytical skills, with the ability to handle complex data challenges.

Excellent communication and collaboration skills to work effectively in a team environment.

Preferred Qualifications:

Advanced knowledge of distributed computing and parallel processing.

Experience with real-time data processing and streaming technologies (e.g., Apache Kafka, Apache Flink).

Familiarity with machine learning concepts and frameworks (e.g., TensorFlow, PyTorch).

Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).

Experience with data visualization and reporting tools (e.g., Tableau, Power BI).

Certification in relevant technologies or data engineering disciplines.

Product Design is about customer obsession. It is about getting under the skin of our users, understanding both their stated as well as unstated needs, and solving for them.

Our Design team is composed of talented and driven problem-solvers. We never stop learning, we teach one another, and we take immense pride in our work. We are a small team and thus every individual has the opportunity to create a huge impact.

A sneak peak into the opportunity:

• 7+ million active customer base (Mostly acquired in last 6 months)
• 6+ million Insurance policies issued
• Created community for 2 & 4 Wheeler vehicle owners (currently in the beta version and onboarded 120K+ users in no time)
• A rapidly growing team in tech + product with some of the finest folks in the industry
• A rapidly growing team of PMs
• An opportunity to build products that influence insurance awareness and buying at the grassroot level.

The ideal candidate will have experience in creating mockups to present to teams, collecting feedback and creating a quality piece of work. This individual should be comfortable with building sitemaps, wireframes and prototypes to provide to project manners and inevitably execute based on outlined criteria. This candidate should have strong creative and design skills and be familiar with various design technologies.

Responsibilities

●      Develop design solutions for various platforms

●      Establish consistent brand and creative designs

●      Communicate ideas with project managers using mock-up and look books

●      Collect feedback from project managers and adjust the approach to cater to criteria

●      Build sitemaps, wireframes and prototypes to outline structure

Qualifications

• Bachelor's degree/PG in user experience, design or related field
• 5+ years of experience with UI design
• Strong communication, design and creative thinking skills Experience with Figma/Adobe XD, Photoshop, Illustrator etc
• Knowledge of CSS is a plus

Desired Candidate Profile

• Graduation is a must. MBA is highly preferred
• Relevant work experience of 5 – 15 years in strategic research/consumer insights is required
• Outstanding communication skills (Verbal & Written)
• Proficiency in MS office suite
• Excellent listening, researching, analytical, negotiation, interpersonal and presenting skills

Hi ,

Greetings From MNR Solutions Pvt Ltd Noida.

We have opening for Manager-Direct Tax for one of our client good brand into conglomerate based at Mumbai.

Position-Manager-Direct Tax

Exp-Min 4 Yrs
Industry-Mining 

Location-Mumbai

Qualification- Qualified CA

6 days working from Office

Job Responsibilities -

Roles and Responsibilities

• Handling of finalization of income tax-returns.
• Filing of income tax forms (quarterly/ half yearly/ annual).
• Data preparation & completion of Tax Audit, Transfer Pricing Audit.
• Handling tax assessments and litigation before appellate authorities.
• Advisory and planning over tax structures and evaluating the taxability for the structures.
• Preparation and submission of data for Assessment.
• Proactively identify the process automation and improvement opportunities.
• Knowledge of certification work in respect of filing of forms 15CB, form 15CA, form 3CD, form 3CEB.

Desired Skills and Experience-

tax audit, income tax, transfer pricing, data preparation, process automation, tax, forms, filing, planning, automation, litigation, evaluation, completion, structures, preparation, finalization, Use Tax, FAS109, Tax Audit Representation, Tax Compliance

The expectation is to set up complete automation of CI/CD pipeline & monitoring and ensure high availability of the pipeline. The automated deployment environment can be on-prem or cloud (virtual instances, containerized and serverless). Complete test automation and ensure Security of Application as well as Infrastructure.

ROLES & RESPONSIBILITIES

Configure Jenkins with load distribution between master/slave Setting up the CI pipeline with Jenkins and Cloud(AWS or Azure) Code Build Static test (Quality & Security) Setting up Dynamic Test configuration with selenium and other tools Setting up Application and Infrastructure scanning for security. Post-deployment security plan including PEN test. Usage of RASP tool. Configure and ensure HA of the pipeline and monitoring Setting up composition analysis in the pipeline Setting up the SCM and Artifacts repository and management for branching, merging and archiving Must work in Agile environment using ALM tool like Jira DESIRED SKILLS

Extensive hands-on Continuous Integration and Continuous Delivery technology experience of .Net, Node, Java and C++ based projects(Web, mobile and Standalone). Experience configuring and managing

• ALM tools like Jira, TFS, etc.
• SCM such as GitHub, GitLab, CodeCommit
• Automation tools such as Terraform, CHEF, or Ansible
• Package repo configuration(Artifactory / Nexus), Package managers like Nuget & Chocholatey
• Database Configuration (sql & nosql), Web/Proxy Setup(IIS, Nginx, Varnish, Apache).

Deep knowledge of multiple monitoring tools and how to mine them for advanced data Prior work with Helm, Postgres, MySQL, Redis, ElasticSearch, microservices, message queues and related technologies Test Automation with Selenium / CuCumber; Setting up of test Simulators. AWS Certified Architect and/or Developer; Associate considered, Professional preferred Proficient in: Bash, Powershell, Groovy, YAML, Python, NodeJS, Web concepts such as REST APIs and Aware of MVC and SPA application design. TTD experience and quality control with Sonarqube or Checkmarx, Tics Tiobe and Coverity Thorough with Linux(Ubuntu, Debian CentOS), Docker(File/compose/volume), Kubernetes cluster setup Expert in Workflow tools: Jenkins(declarative, plugins)/TeamCity and Build Servers configuration Experience with AWS CloudFormation / CDK and delivery automation Ensure end-to-end deployments succeed and resources come up in an automated fashion Good to have ServiceNow configuration experience for collaboration

What you will get:

1. To be a part of the Core-Team 💪
2. A Chunk of ESOPs 🚀
3. Creating High Impact by Solving a Problem at Large (No one in the World has a similar product) 💥
4. High Growth Work Environment ⚙️

What we are looking for:

1. An 'Exceptional Executioner' -> Leader -> Create an Impact & Value 💰
2. Ability to take Ownership of your work
3. Past experience in leading a team