Digital Marketing Executive

Role & Responsibilities

Responsibilities

• Contribute to the development and optimization of enterprise-wide search systems and models.

• Design and implement algorithms to improve indexing, query relevance, and search accuracy.

• Support taxonomy, ontology, and metadata model creation for better search outcomes.

• Collaborate with business units (Loans, Insurance, Investments) to build AI-enabled search features.

• Conduct analysis of user behavior and system metrics to refine search performance.

• Work with engineers, product managers, and designers to deliver integrated search solutions.

• Develop production-grade ML systems for ranking, personalization, and recommendations.

• Participate in proof-of-concept initiatives with internal and external partners.

• Follow best practices in software engineering including CI/CD, testing, and monitoring.

• Keep abreast of emerging developments in AI/ML to apply them in practical solutions.

Ideal Candidate

Strong Data Scientist / AI Engineer / Machine Learning Engineer profiles.

Mandatory (Experience 1) – Must have minimum 5+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.

Mandatory (Experience 2) – Must have strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.

Mandatory (Experience 3) – Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.

Mandatory (Experience 4) – Must have hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.

Mandatory (Experience 5) – Must have experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models.

Mandatory (Experience 6) – Must have hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.

Mandatory (Experience 7) – Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems.

Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

Mandatory (Age) - Candidate's Age should be below 30 Years

Preferred (Experience 1) – Experience with MLFlow, Kubeflow, Airflow, Prefect, Feature Stores, Model Registry, or MLOps/LLMOps frameworks.

Preferred (Experience 2) – Experience working with Vector Databases, Spark, PySpark, distributed ML pipelines, large-scale data processing, or real-time ML systems..

Preferred (Experience 3) – Familiarity with Docker, Kubernetes, Azure, AWS, GCP, cloud-native AI deployments, and scalable ML architecture.

Preferred (Company) – Candidates from AI-first startups, Fintech, Banking, Lending, Fraud Analytics, Risk Analytics, Product Companies, SaaS organizations, or data-driven technology companies.

Kindly provide the following details while sending your CV: (Mandatory details)

1) Date of Birth

2) Current Location-

3) Current CTC-

4) Expected CTC-

5) Notice Period-

6) Ready to relocate to Pune?

Regards,

The Supreme Consultancy

Website- https://lnkd.in/eawfxfxU

Job Description:

Position Type: Full-Time Contract (with potential to convert to Permanent)

Location: Remote (Australian Time Zone)

Availability: Immediate Joiners Preferred

About the Role

We are seeking an experienced Tableau and Snowflake Specialist with 5+ years of hands‑on expertise to join our team as a full‑time contractor for the next few months. Based on performance and business requirements, this role has a strong potential to transition into a permanent position.

The ideal candidate is highly proficient in designing scalable dashboards, managing Snowflake data warehousing environments, and collaborating with cross-functional teams to drive data‑driven insights.

Key Responsibilities

• Develop, design, and optimize advanced Tableau dashboards, reports, and visual analytics.
• Build, maintain, and optimize datasets and data models in Snowflake Cloud Data Warehouse.
• Collaborate with business stakeholders to gather requirements and translate them into analytics solutions.
• Write efficient SQL queries, stored procedures, and data pipelines to support reporting needs.
• Perform data profiling, data validation, and ensure data quality across systems.
• Work closely with data engineering teams to improve data structures for better reporting efficiency.
• Troubleshoot performance issues and implement best practices for both Snowflake and Tableau.
• Support deployment, version control, and documentation of BI solutions.
• Ensure availability of dashboards during Australian business hours.

Required Skills & Experience

• 5+ years of strong hands-on experience with Tableau development (Dashboards, Storyboards, Calculated Fields, LOD Expressions).
• 5+ years of experience working with Snowflake including schema design, warehouse configuration, and query optimization.
• Advanced knowledge of SQL and performance tuning.
• Strong understanding of data modeling, ETL processes, and cloud data platforms.
• Experience working in fast-paced environments with tight delivery timelines.
• Excellent communication and stakeholder management skills.
• Ability to work independently and deliver high‑quality outputs aligned with business objectives.

Nice-to-Have Skills

• Knowledge of Python or any ETL tool.
• Experience with Snowflake integrations (Fivetran, DBT, Azure/AWS/GCP).
• Tableau Server/Prep experience.

Contract Details

• Full-Time Contract for several months.
• High possibility of conversion to permanent, based on performance.
• Must be available to work on the Australian Time Zone.
• Immediate joiners are highly encouraged.

Job Title: Data Architect – AI/ML (Travel Domain)

We’re hiring a Data Architect to build and scale data systems powering AI/ML solutions in the travel domain. In this role, you will design data lakes/warehouses, create robust ETL pipelines, and enable real-time analytics for flight, hotel, and booking platforms. You will work closely with data scientists and engineering teams to support personalization, pricing, and recommendation engines.

Key Requirements:

• 5+ years in data architecture / engineering
• Strong experience with AWS/GCP/Azure and big data tools
• Expertise in ETL, data modeling, and pipeline design
• Good understanding of ML data workflows
• Experience in travel, e-commerce, or high-volume platforms is a plus

If you’re passionate about building scalable data ecosystems and driving AI-led innovation, we’d love to connect.

Role Overview

This is a 20% technical, 80% non-technical role designed for individuals who can blend technical know-how with strong operational and communication skills. You’ll be the bridge between our product and the client’s operations team.

Key Responsibilities

• Collaborate with clients to co-design SOPs for resolving support queries across channels (chat, ticket, voice)
• Scope and plan each integration: gather technical and operational requirements and convert them into an executable timeline with measurable success metrics (e.g., coverage %, accuracy, CSAT)
• Lead integration rollouts and post-launch success loops: monitor performance, debug issues, fine-tune prompts and workflows
• Conduct quarterly “AI health-checks” and continuously improve system effectiveness
• Troubleshoot production issues, replicate bugs, ship patches, and write clear root-cause analyses (RCAs)
• Act as the customer’s voice internally, channel key insights to product and engineering teams

Must-Have Qualifications

• Engineering degree is a must; Computer Science preferred
• Past experience in coding and a sound understanding of APIs is preferred
• Ability to communicate clearly with both technical and non-technical stakeholders
• Experience working in SaaS, customer success, implementation, or operations roles
• Analytical mindset with the ability to make data-driven decisions

Full Stack Engineer

We are looking for a self-starter who can join a fast-paced startup environment in order to design and build a scalable cloud-based product. You’ll be part of a cross functional team that’s responsible for the full product development life cycle, from conception to deployment.

Key Responsibilities: -

Work with the development team to design & build new features using Node JS along with enhancing the existing platform. - Develop, test and optimize code for performance, maintainability and standards. - Participate in code reviews and make recommendations. - Use CI/CD techniques to ensure clean working environments and agile deployments. - Debug and troubleshoot cloud-based applications. - Follow Agile development techniques, participate in daily calls and assist product owners in story grooming.

Skill set: -

3+ years of product development experience. - Strong problem-solving and analytical skills. - Strong programming experience in Node JS/Java/Python. - Experience with React JS. - Experience in building cloud-based applications on AWS. - Experience with NoSQL data stores, preferably Dynamo DB. - Experience with any CI / CD tool.

Good to have: - Experience in GraphQ

• Proven experience as a .NET Developer in at least one of the .NET languages (e.g. C#) and HTML5/CSS3
• Working experience with SQL Server or other RDBMS
• Working experience on entity Framework.
• Has designed large and complex enterprise web application and RESTful services (Web API) using the .Net technology stack.
• Must possess strong understanding on OOPS concepts
• Write functional code with a sharp eye for spotting defects.
• A team player and excellent communicator.
• Work with internal teams to design, develop and maintain software.
• Participate in requirements analysis
• Collaborate with internal teams to produce software design and architecture
• Write clean, scalable code using .NET programming languages, W3C standard complaint, cross border compatible HTML pages
• Test and deploy applications and systems
• Revise, update, refactor and debug code
• Develop documentation throughout the software development life cycle (SDLC)

We are looking for an Android developer responsible for the development and maintenance of applications aimed at a vast number of diverse Android devices. Your primary focus will be the development of Android applications and their integration with back-end services. You will be working along-side other engineers and developers working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and creating quality products is essential.

Responsibilities:

1. Translate designs and wireframes into high-quality code

2. Design, build and maintain high performance, reusable, and reliable Java code

3. Ensure the best possible performance, quality, and responsiveness of the application

4. Identify and correct bottlenecks and fix bugs

5. Help maintain code quality, organization, and automatization

Skills:

1. Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes

2. Familiarity with RESTful APIs to connect Android applications to back-end services

3. Strong knowledge of Android UI design principles, patterns, and best practices

4. Experience with offline storage, threading, and performance tuning

5. Ability to design applications around natural user interfaces, such as “touch”

6. Familiarity with the use of additional sensors, such as gyroscopes and accelerometers

7. Knowledge of the open-source Android ecosystem and the libraries available for common tasks

8. Ability to understand business requirements and translate them into technical requirements

9. Familiarity with cloud message APIs and push notifications

10. A knack for benchmarking and optimization

11. Understanding of Google’s Android design principles and interface guidelines

12. Proficient understanding of code versioning tools, such as Git

13. Familiarity with continuous integration

About the Role

Dremio’s SREs ensure that our internal and externally visible services have reliability and uptime appropriate to users' needs and a fast rate of improvement. You will be joining a newly formed team that will spearhead our efforts to launch a cloud service. This is an opportunity to join a very fast growth startup and help build a cloud service from the ground up.

Responsibilities and Ownership

• Ability to debug and optimize code and automate routine tasks.
• Evangelize and advocate for reliability practices across our organization.
• Collaborate with other Engineering teams to support services before they go live through activities such as system design consulting, developing software platforms and frameworks, monitoring/alerting, capacity planning and launch reviews.
• Analyze and optimize our core product by developing and implementing reliability and performance practices.
• Scale systems sustainably through automation and evolve systems by pushing for changes that improve reliability and velocity.
• Be on-call for services that the SRE team owns.
• Practice sustainable incident response and blameless postmortems.

Qualifications

• 6+ years of relevant experience in the following areas: SRE, DevOps, Cloud Operations, Systems Engineering, or Software Engineering.
• Excellent command of cloud services on AWS/GCP/Azure, Kubernetes and CI/CD pipelines.
• Have moderate-advanced experience in Java, C, C++, Python, Go or other object-oriented programming languages.
• You are Interested in designing, analyzing and troubleshooting large-scale distributed systems.
• You have a systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
• You have a great ability to debug and optimize code and automate routine tasks.
• You have a solid background in software development and architecting resilient and reliable applications.