MySQL Developer/ Database Developer

Review Criteria:

• Strong MLOps profile
• 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
• 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
• 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
• Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
• Must have hands-on Python for pipeline & automation development
• 4+ years of experience in AWS cloud, with recent companies
• (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred:

• Hands-on in Docker deployments for ML workflows on EKS / ECS
• Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
• Experience with CI / CD / CT using GitHub Actions / Jenkins.
• Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
• Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.

Job Specific Criteria:

• CV Attachment is mandatory
• Please provide CTC Breakup (Fixed + Variable)?
• Are you okay for F2F round?
• Have candidate filled the google form?

Role & Responsibilities:

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
• Collaborate with data scientists to productionize notebooks, experiments, and model deployments.

Ideal Candidate:

• 8+ years in MLOps/DevOps with strong ML pipeline experience.
• Strong hands-on experience with AWS:
• Compute/Orchestration: EKS, ECS, EC2, Lambda
• Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
• Workflow: MWAA/Airflow, Step Functions
• Monitoring: CloudWatch, OpenSearch, Grafana
• Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
• Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
• Strong Linux, scripting, and troubleshooting skills.
• Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.

Education:

• Master’s degree in computer science, Machine Learning, Data Engineering, or related field. 

Requirements & Skills:

Experience: Minimum 1 year of experience in real estate sales or telesales, preferably with a CP (Channel Partner) company.

Sales Success: Ability to meet or exceed sales quotas.

Lead Conversion: Strong skills in generating leads and converting them into clients.

Communication: Proficiency in English and excellent interpersonal skills.

Resilience: Ability to handle rejection and stay motivated.

Negotiation: Strong negotiation skills to close deals and resolve client issues.

The Inside Sales Specialist is a key player in our organization, responsible for nurturing existing client relationships and creating new ones. This role involves converting pre-qualified leads, upselling, and ensuring an exceptional customer experience.

Responsibilities:

• Source Opportunities: Identify new sales prospects through inbound lead follow-up, outbound cold calls, and emails.
• Understand Customer Needs: Listen to customer requirements and understand their needs and preferences.
• Route Qualified Opportunities: Pass qualified leads to the appropriate sales executives for further development and closure.
• Achieve Quotas: Close sales deals and meet quarterly targets.
• Research and Identify Key Players: Understand the client landscape, identify decision-makers, and generate interest.
• Maintain Prospect Database: Keep your database of prospects up-to-date within your assigned territory.
• Collaborate with Channel Partners: Work closely with channel partners to build a strong sales pipeline and close deals.
• Conduct Effective Online Demos: Showcase our products/services to potential clients.

Requirements:

• Proven Inside Sales Experience: Demonstrated success in inside sales.
• Strong Phone Presence: Comfortable making numerous calls daily.
• Proficiency with CRM Tools: Familiarity with Salesforce.com or similar CRM systems.
• Excellent Communication Skills: Both verbal and written.
• Effective Listening and Presentation Skills: Ability to understand client needs and present solutions.
• Time Management and Multitasking: Prioritize tasks effectively.
• Bachelor’s Degree or Equivalent: Educational background in business or related field.

Why Join Us?

• Be part of a dynamic team in the engineering industry.
• Opportunity to make a significant impact on our growth.
• Collaborate with channel partners and contribute to our success.

If you’re passionate about sales, building relationships, and contributing to an engineering company’s success, we’d love to hear from you! Apply now and let’s create something great together!

Pingahla is recruiting business intelligence Consultants/Senior consultants who can help us with Information Management projects (domestic, onshore and offshore) as developers and team leads. The candidates are expected to have 3-6 years of experience with Informatica Power Center/Talend DI/Informatica Cloud and must be very proficient with Business Intelligence in general. The job is based out of our Pune office.

Responsibilities:

• Manage the customer relationship by serving as the single point of contact before, during and after engagements.
• Architect data management solutions.
• Provide technical leadership to other consultants and/or customer/partner resources.
• Design, develop, test and deploy data integration solutions in accordance with customer’s schedule.
• Supervise and mentor all intermediate and junior level team members.
• Provide regular reports to communicate status both internally and externally.
• Qualifications:
• A typical profile that would suit this position would be if the following background:
• A graduate from a reputed engineering college 
• An excellent I.Q and analytical skills and should be able to grasp new concepts and learn new technologies.
• A willingness to work with a small team in a fast-growing environment.
• A good knowledge of Business Intelligence concepts

Mandatory Requirements:

• Knowledge of Business Intelligence
• Good knowledge of at least one of the following data integration tools - Informatica Powercenter, Talend DI, Informatica Cloud
• Knowledge of SQL
• Excellent English and communication skills
• Intelligent, quick to learn new technologies
• Track record of accomplishment and effectiveness with handling customers and managing complex data management needs
   

Key Responsibilities

• Lead and inspire high-performing engineering teams to build and scale highly reliable, secure and responsive architecture for all LoveLocal products

• Build highly Scalable platforms using Python, ReactJS, NodeJS, Kafka, Distributed Caching, SQL and No SQL Databases

• Take full ownership of the people related aspects of the Engineering team engagement, recruiting, retention, compensation, promotions, individual performance management and organizational structure

• Should be actively involved in hunting and recruiting new talent

• Manage the engineering pipeline at all levels from planning the product implementation with the developers, distributing and managing work of the engineering team and ensure code quality across products and services

• Should continuously plan and build for increasing scale of the product and ensure full hygiene of the tech infrastructure and code sanity

• Should be the primary point of contact of functional heads for all tech dependencies

• Take ownership of overall tech budget, reviewing expenses and planning for future costs

• Work closely with CTO and Product Head on the Tech roadmap of the organisation

• Become an integral part of the core team and be strongly aligned with the mission and values of the company

Main Qualifications

• 8+ years of experience in Software Development with end-end implementation of products (Preferably in a product driven organisation)

• Minimum 3 years of experience leading a team of at least 15 developers, either as an EM or a Tech Lead

• Should have worked in a well scaled and fast paced working environment (Startups beyond Series B or a major tech organisation)

• Comfortable handling multiple competing priorities in a fast-paced environment.

• Well versed with cloud computing and infrastructure management AWS / GCP

• Has worked extensively on designing and implementing Microservices architecture

• Should have experience working with NoSQL data stores such as MongoDb, Cassandra, HBase, DynamoDB, etc.

• Should have experience working with Big Data streaming services such as Kinesis, Kafka, RabbitMQ etc

• Should be highly skilled in Python and have solid exposure to JavaScript

• Should have solid exposure to Web development and have had familiarity working with Android and IOS engineers

• Excellent understanding of software engineering practices and Design Patterns

• A Bachelors or Masters in Computer Science or equivalent engineering degree from top engineering institutes. 

Requirements:

• Passion for building and delivering great software with a strong sense of ownership.
• Good understanding into .Net Core and PS
• Minimum of two years of experience in building web applications using ASP.NET MVC and .NET platform in general.
• Should have strong UI development skills using HTML, CSS/JavaScript frameworks.-

     Good understanding of IIS configuration

• Strong experience with Build and Release, Agile processes and Estimation/Planning-
  
  Exposure to New Relic or similar tools to optimize web application performance
  Strong expertise in SQL programming, with experience of writing & optimizing queries that access/process millions of records-
  Experience of architecting and designing web applications and servicesTeam TA,LeadSquared (ref:hirist.com)