Product Implementation Specialist

Must have skills:

1. GCP - GCS, PubSub, Dataflow or DataProc, Bigquery, Airflow/Composer, Python(preferred)/Java

2. ETL on GCP Cloud - Build pipelines (Python/Java) + Scripting, Best Practices, Challenges

3. Knowledge of Batch and Streaming data ingestion, build End to Data pipelines on GCP

4. Knowledge of Databases (SQL, NoSQL), On-Premise and On-Cloud, SQL vs No SQL, Types of No-SQL DB (At least 2 databases)

5. Data Warehouse concepts - Beginner to Intermediate level

Role & Responsibilities:

● Work with business users and other stakeholders to understand business processes.

● Ability to design and implement Dimensional and Fact tables

● Identify and implement data transformation/cleansing requirements

● Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform and load data

from various systems to the Enterprise Data Warehouse

● Develop conceptual, logical, and physical data models with associated metadata including data lineage and technical

data definitions

● Design, develop and maintain ETL workflows and mappings using the appropriate data load technique

● Provide research, high-level design, and estimates for data transformation and data integration from source

applications to end-user BI solutions.

● Provide production support of ETL processes to ensure timely completion and availability of data in the data

warehouse for reporting use.

● Analyze and resolve problems and provide technical assistance as necessary. Partner with the BI team to evaluate,

design, develop BI reports and dashboards according to functional specifications while maintaining data integrity and

data quality.

● Work collaboratively with key stakeholders to translate business information needs into well-defined data

requirements to implement the BI solutions.

● Leverage transactional information, data from ERP, CRM, HRIS applications to model, extract and transform into

reporting & analytics.

● Define and document the use of BI through user experience/use cases, prototypes, test, and deploy BI solutions.

● Develop and support data governance processes, analyze data to identify and articulate trends, patterns, outliers,

quality issues, and continuously validate reports, dashboards and suggest improvements.

● Train business end-users, IT analysts, and developers.

Job Description -

Profile: Senior ML Lead

Experience Required: 10+ Years

Work Mode: Remote

Key Responsibilities:

• Design end-to-end AI/ML architectures including data ingestion, model development, training, deployment, and monitoring
• Evaluate and select appropriate ML algorithms, frameworks, and cloud platforms (Azure, Snowflake)
• Guide teams in model operationalization (MLOps), versioning, and retraining pipelines
• Ensure AI/ML solutions align with business goals, performance, and compliance requirements
• Collaborate with cross-functional teams on data strategy, governance, and AI adoption roadmap

Required Skills:

• Strong expertise in ML algorithms, Linear Regression, and modeling fundamentals
• Proficiency in Python with ML libraries and frameworks
• MLOps: CI/CD/CT pipelines for ML deployment with Azure
• Experience with OpenAI/Generative AI solutions
• Cloud-native services: Azure ML, Snowflake
• 8+ years in data science with at least 2 years in solution architecture role
• Experience with large-scale model deployment and performance tuning

Good-to-Have:

• Strong background in Computer Science or Data Science
• Azure certifications
• Experience in data governance and compliance

Key Responsibilities:

❖ Engage with clients through outbound calls and follow up on potential leads to drive conversions.

❖ Understand client requirements and proactively identify relevant sales opportunities.

❖ Respond to client inquiries and share detailed information via email or other communication channels.

❖ Build and manage a robust database of existing and prospective clients.

❖ Create and execute effective lead conversion strategies using networking, cold calling, and direct client meetings.

❖ Proactively identify and secure new business to consistently exceed revenue goals.

❖ Present and clearly explain services to prospective clients to generate interest and trust.

❖ Conduct research to identify and qualify high-potential leads.

❖ Consistently close deals and meet defined sales targets.

1-3 years of experience in SaaS sales, lead qualification, or a similar role.

• Candidates should have Lead Qualification Experience (experience in SaaS solutions, tailored solutions, or solution selling).

• Engage with prospects via calls, emails, and LinkedIn to understand their needs and pain points.

• Experience using CRMs like HubSpot, Salesforce, or other sales tools.

• Excellent verbal and written communication skills.

• Strong ability to assess and qualify leads efficiently.

• Maintain accurate and up-to-date lead records in the CRM (e.g., HubSpot, Salesforce).

Your Tasks:

• Participate in all aspect of operation and application support.
• Work primarily in Java-on-Java Spring and web frameworks like Bootstrap and Vue.js.
• Engage and collaborate across time zones with different front-end and back-end developers.
• Working closely with your teammates on knowledge sharing and experience build-up.
• Drive development best practices with your teammates to deliver high quality solutions. 

  Your profile:

• Bachelor’s degree in computer science, information technology, or engineering with strong communication skills.
• 4+ years of experience building large-scale software applications or web applications
• Strong knowledge of Full-Stack development with Java Spring Framework and established web frameworks Bootstrap, Vue.js, React or AngularJS.
• Experience of different data stores and search engine solutions like Apache Solr or Elasticsearch and designing and implementing API web services (RESTful and SOAP-based)
• Ability to work independently and collaboratively in a multidisciplinary team environment whiles providing operational support capability.

SiteRecon is looking for an Engineering Leader who can visualize the nuts and bolts of the product architecture and bring it to life. You will be responsible for leading the engineering team and contributing to product conception from an engineering standpoint. You will also be the thought leader for engineering in the team. 

You will lead the development of new smart web applications and you will be mainly involved in the development of our platform (SiteRecon). You will be working in an exciting environment alongside people with tremendous ambition. You will have the freedom to implement your own designs & solutions. You will be working together with the core team of SiteRecon - all graduates from IITs working at the cutting edge for the past few years, CEO, CPO, and CDS. 

Role and Responsibilities:

• Ensure high-quality customer experience through our products. 
• Hiring and retaining engineering teammates. 
• Inculcate a culture where high-quality engineers can thrive and grow. 
• Contribute to product conception from an engineering perspective.
• Take complete, end to end ownership of development and production pipelines of internal tools and consumer-facing products.
• Ensure high performance, reliability, and availability of hosted deep learning and geoprocessing services.
• Translate high-level tasks and product requirement documents into technical design documents and scalable, maintainable and readable codebases.
• Develop and implement high and low-level system design for engineering projects.
• Develop scripts and set up the infrastructure for monitoring and logging for all deployed software.
• Coordinate with internal teams to understand data processing pipelines and provide technical solutions.
• Effectively lead teams of junior developers and ensure high code quality through code reviews, automated linting, etc.
• Represent engineering team before stakeholders outside SiteRecon (users, investors, job candidates)

Does This Sound Like You?

Must Haves:  

• 3+ years of experience in the backend (preferably Django), frontend and software design and architecture.
• Experience with DevOps technologies such as Docker, Kubernetes, Jenkins or CI/CD.
• Knowledge of messaging services like Apache Kafka, RabbitMQ.
• Understanding of cloud services like AWS and GCP.
• Experience working at a startup that scaled while you were there.
• Experience managing a team, converting product requirements into engineering sow.

Good To Haves:  

• Experience with PostGIS or any other geo-database.
• Understanding of Geographic Information Systems and related terminologies.
• Experience in developing production versions of deep learning applications.

Candidate attribute (Culture Fit):

• Comfortable operating in a constantly changing and fast-paced environment.
• A passionate, driven individual who can achieve results through both, independently and teamwork and collaborative approaches.
• Have a strong work ethic and natural ownership ability.