Hiring _Azure Data Bricks

About Us

We are a fast-growing startup based in Pune, India, specializing in cutting-edge Data Science and Data Engineering solutions. Our team of dedicated professionals is committed to solving complex data challenges for companies worldwide.

Our Culture We foster a vibrant startup culture that values: • Intellectual curiosity • Continuous learning • Positive work environment • Collaborative problem-solving

Role Overview

We are seeking a versatile and proactive Data Scientist to join our dynamic team. The ideal candidate will possess a blend of technical expertise in modern AI/ML technologies, strategic planning, and effective communication skills. This role demands critical thinking, applying data science and problem-solving skills to a wide variety of real-world problems, adaptability to rapidly evolving technologies, and a strong foundation in both traditional and generative AI principles.

Key Responsibilities • Deliver end-to-end data science projects by applying Machine Learning and Deep Learning fundamentals to solve complex problems • Derive actionable insights for a variety of problems, industries, and domains using statistical analysis and advanced data science techniques • Develop high-quality software solutions with Python and other programming languages. Collaborate with developers to understand and improve existing code or create new solutions • Build and deploy production-ready LLM applications using modern frameworks and best practices • Design and implement RAG (Retrieval-Augmented Generation) architectures using vector databases and embedding models • Perform prompt engineering and optimization to maximize LLM performance for specific use cases • Implement agentic AI systems and multi-agent workflows for complex automation tasks • Evaluate and benchmark LLM outputs using appropriate metrics and testing frameworks • Build sophisticated data pipelines for large-scale data processing using modern orchestration tools • Optimize database performance and create efficient SQL queries • Deploy and monitor ML models in production using MLOps practices and containerization • Practice active listening to understand project requirements and team inputs • Collaborate with clients to translate business requirements into data science solutions • Communicate complex ideas and results clearly to stakeholders through both verbal and written formats • Apply responsible AI principles and ensure ethical considerations in model development • Demonstrate punctuality and a strong sense of ownership in all tasks • Plan strategically and multitask efficiently to meet project deadlines • Employ critical thinking to break down problems and debug effectively • Take initiative and be biased towards action to drive project progress Required Skills Core Programming & ML • Strong Python programming skills with hands-on project experience • Expertise in Machine Learning and Deep Learning algorithms (Random Forests, GBMs, Neural Networks, CNNs, RNNs, Transformers, Ensemble methods) • Proficiency in TensorFlow or PyTorch, along with scikit-learn and pandas • Familiarity with modern ML techniques: Transfer Learning, Few-shot Learning, Self-supervised Learning • Experience with NLP, Computer Vision, or Time Series Analysis Generative AI & LLMs • Hands-on experience with LLM providers (OpenAI, Anthropic Claude, Google Gemini, or open-source models) • Proficiency with GenAI orchestration frameworks (LangChain, LangGraph, LlamaIndex, or DSPy) • Experience building RAG applications with vector databases (Pinecone, Weaviate, Chroma, FAISS) • Strong prompt engineering skills and understanding of prompt optimization techniques • Knowledge of fine-tuning techniques (LoRA, QLoRA) and when to apply them • Understanding of LLM evaluation metrics and benchmarking methodologies • Familiarity with agentic AI architectures and multi-agent systems MLOps & Deployment • Experience with MLOps practices and tools (MLflow, Kubeflow, Weights & Biases) • Proficiency with containerization using Docker and orchestration with Kubernetes • Experience with cloud platforms (AWS, Azure, or GCP) for ML model deployment and monitoring • Understanding of CI/CD pipelines for ML applications • Knowledge of model serving frameworks and API development (FastAPI, Flask, or Django) Data Engineering & Databases • Solid understanding of SQL, including advanced concepts like windowing functions and query optimization • Experience with data pipeline orchestration tools (Airflow, Prefect, or similar) • Familiarity with both SQL and NoSQL databases Soft Skills & Professional Attributes • Strong critical thinking and problem-solving skills • Excellent written and verbal communication abilities • Demonstrated ability to work well in a team and independently • High degree of flexibility and adaptability to rapidly evolving technologies • Understanding of AI safety principles and responsible AI practices

Nice-to-Have • Experience with big data technologies (Spark, Hadoop, Databricks) • Familiarity with BI tools and dashboard creation (Tableau, Power BI, Looker) • Knowledge of graph databases and knowledge graph construction • Experience with real-time streaming data processing • Active participation in data science competitions (Kaggle, DrivenData) • Contributions to open-source AI/ML projects or technical blog • Experience with multimodal AI models (vision-language models, audio processing) • Published research papers or conference presentations

Qualifications • Data Scientist I: 0-2 years of hands-on experience in Data Science projects • Data Scientist II: 2-5 years of hands-on experience in Data Science projects • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related technical field • Demonstrated commitment to continuous learning through courses, certifications, or self-study (especially in GenAI and modern ML techniques)

What We Offer • Competitive salary commensurate with experience • Opportunity to work on diverse, cutting-edge AI/ML projects • Collaborative and innovation-driven work environment • Rapid growth and continuous learning opportunities • Exposure to latest AI technologies and industry best practices

Link for application -  https://forms.gle/9GENVfPeXdtgi7Zj7

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

Key Responsibilities

• Lead the design, development, and evolution of our AWS platform services and automation frameworks.
• Build scalable, secure, and reusable infrastructure using Terraform, AWS CDK, and GitOps workflows.
• Develop and maintain CI/CD pipelines to support rapid delivery and reliable releases. nerdrabbit.com
• Architect solutions leveraging core AWS services such as EKS, Lambda, IAM, CloudFront, Control Tower, and other platform components.
• Define, enforce, and monitor security, governance, and compliance guardrails using AWS Config, SCPs, AWS SSO, and least-privilege IAM policies.
• Enable observability and reliability with tools like CloudWatch, Grafana, Prometheus, and OpenTelemetry.
• Collaborate with cross-functional teams to deliver internal platform capabilities with clear SLAs and support models.
• Mentor and guide teams in AWS best practices to improve productivity, operational excellence, and cloud cost optimization.

Mandatory Skills & Expertise

• AWS Platform Mastery: In-depth experience with Kubernetes (EKS), serverless (Lambda), IAM, CloudFront, Control Tower, and related platform services.
• Infrastructure as Code: Expert in Terraform, AWS CDK, or equivalent for building production-grade IaC.
• CI/CD & Observability: Strong experience with GitHub Actions and observability stacks (CloudWatch, Grafana, Prometheus, OpenTelemetry).
• Security & Governance: Demonstrated ability to implement governance guardrails (SCPs, AWS Config) and enforce least-privilege access.
• Platform-as-a-Product: Mindset for treating internal platform as a product with service ownership, SLAs, and measurable developer experience improvements.

Qrata is a talent startup that partners with fast moving digital companies globally to scale their teams. Since 2016, we have served over 100 funded startups ( top brands, some unicorns too!) hire teams in the spaces of engineering, growth, design and product. Our mission is to be the top curated talent marketplace while fostering a collaborative, diverse, and inclusive workplace.

About the role: Qrata is looking to hire a recruiter who should be an experienced, motivated that can help source and hire for top funded companies globally. Ideal candidate is a high- energy, strong communicator with a knack for engaging experienced professionals.

Responsibilities:

• Responsible for End to End Recruitment (Sourcing, screening of profiles, scheduling of interviews).

• Responsible for understanding and analyzing the requirements in different technical

skill set categories.

• Creative sourcing methods like Linked-In, internal database, referrals, head-hunting,

networking.

• Take steps to ensure positive candidate experience

• Willing to take challenges in Recruitment & closing the demands on time.

Candidate requirements:

• The ideal candidate should have zeal to grow in technical Recruitment world.

• Must have IT recruitment/Non IT hiring experience and expertise in Screening,

shortlisting, negotiation and coordinating with the Recruitment process.

• Experience in working on Job Portals is mandatory

• Experience in full-cycle Recruiting, Sourcing

• Proficient in the use of social media and job boards

• Aggressive and talented professionals with excellent communication skills.

• Well-organized & capable of managing Quality and Volumes of open positions

Get to Know our Team:

In our Full stack Engineering department, we build the scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: such as TAM SAM, calculator, lead generation, campaign execution & data modeling. Most importantly though, we hire great people and empower them to be successful. Whether it’s building new projects or reimagining our existing business, you’ll make a big impact as part of the Full stack Engineering team.

The Opportunity: 

Swabhav is looking for developers to work on mission critical systems that deal with the designing and development of APIs.

In this Role, you’ll get to

• Lead development of features, experiments, technical projects and complex systems.
• Be a technical architect, mentor, and driver towards the right technology.
• Continue to evolve our architecture and build better software.
• Be a major contributor to our agile and scrum practices. 
• Get involved with software engineering and collaborate with server, other client, and infrastructure technical team members to build the best solution.
• Constantly look for ways to improve our products, codebase and development practices. 
• Write great code and help others write great code.
• Drive Technical decisions in the organization.

What You’ll Need to Succeed

• 3-6 years’ experience under your belt developing performance-critical applications that run in a production environment using Node Js, React Js or Next Js, PostgreSQL.
• Experience in full ownership of the systems involved.
• Hands on experience working with CRM platforms, Third party app integrations or Heavy file processing & Restful APIs.
• You understand that different applications have different data requirements.
• Good understanding of algorithms and data structures
• Strong coding ability.
• You are passionate about the craft of software development and constantly work to improve your knowledge and skills.
• Excellent communication skills.

It’s Great If You Have

• Experience with Scrum/Agile development methodologies.
• Experience building products.
• Core engineering infrastructure tools like Git for source control.

• Thorough understanding of React.js, React DOM and its core principles
• Experience in State Management Frameworks like Redux.
• Experience in developing cross-browser/platform compatible solutions for web.
• Experience of backend integrating with RESTful services.
• DOM manipulation and the JavaScript object model.
• In-depth knowledge of newer specifications of TypeScript, ES6,HTML 5,CSS 3.
• Must be familiar libraries like Material UI, Formik.
• Experience in Micro Front End architecture with Webpack Module Module Federation to combine multiple domain driven web apps on the same page without refreshing the page.
• Experience in different approaches on orchestration of Micro-apps of Client Side composition.
• Experience with package manager like npm,yearn.
• Experience with tools/packages like Visual Studio Code,ES Lint,SonarQube,Keycloak.
• Good understanding on Unit testing framework - Jest/ enzyme.

Location: Remote Working

** Preference will be given to immediate joinee

equirements:

• Should have 3.6 - 5 Years work experience.
• Should have experience in Node. JS.
• Should have experience in HTML, CSS.
• Should have experience in JavaScript.