Radiologist

MUST-HAVES: 

• Machine Learning + Aws + (EKS OR ECS OR Kubernetes) + (Redshift AND Glue) + Sage maker
• Notice period - 0 to 15 days only 
• Hybrid work mode- 3 days office, 2 days at home

SKILLS: AWS, AWS CLOUD, AMAZON REDSHIFT, EKS

ADDITIONAL GUIDELINES:

• Interview process: - 2 Technical round + 1 Client round
• 3 days in office, Hybrid model. 

CORE RESPONSIBILITIES:

• The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
• Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
• Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
• Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
• System Integration: Integrate models into existing systems and workflows.
• Model Deployment: Deploy models to production environments and monitor performance.
• Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
• Continuous Improvement: Identify areas for improvement in model performance and systems.

SKILLS:

• Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
• Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaos search logs, etc. for troubleshooting; Other tech touch points are Scylla DB (like BigTable), OpenSearch, Neo4J graph
• Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
• Knowledge of model monitoring and performance evaluation.

REQUIRED EXPERIENCE:

• Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sage maker pipeline with ability to analyze gaps and recommend/implement improvements
• AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
• AWS data: Redshift, Glue
• Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

Review Criteria

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred

• Preferred (Nice-to-have) – Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Job Specific Criteria

• CV Attachment is mandatory
• How many years of experience you have with Dremio?
• Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
• Are you okay with 3 Days WFO?
• Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate

• Bachelor’s or master’s in computer science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

Key Responsibilities:

• Identify and acquire new clients for stock broking services
• Promote products like Equity, F&O, Commodity, and Mutual Funds
• Generate leads through calls, field visits, social media, and references
• Assist clients in opening Demat & Trading accounts
• Maintain strong relationships with existing clients
• Achieve monthly and quarterly sales targets
• Provide basic market information and guide clients to advisors
• Follow up with prospects and convert them into active investors

About Us:

DriveX is India’s largest used 2-wheeler platform founded by Narain Karthikeyan, India’s first Formula 1 racer. DriveX is a fully stacked platform having capabilities across the pre-owned vehicle value chain from procurement to refurbishment to retail and service of pre-owned two-wheelers.

Website- https://www.drivex.in

Location- Bangalore

Job Overview:

We are looking for a talented Python Developer to join our tech team. The successful candidate will be responsible for developing server-side logic, integrating front-end components, and supporting the development of scalable and high-performance applications. The Python Developer will collaborate with cross-functional teams to deliver high-quality software solutions.

Responsibilities:

1. Develop server-side logic using Python for seamless integration with front-end components.

2. Design and implement scalable and high-performance applications.

3. Collaborate with front-end developers to integrate user-facing elements with server-side logic.

4. Implement security and data protection features.

5. Work closely with the product management team to define and implement new features.

6. Optimize applications for maximum speed and scalability.

7. Collaborate with other team members and stakeholders to deliver software solutions that align with business requirements.

8. Stay up-to-date with industry trends and technologies, and apply them to the development process.

Requirements:

1. Proven 3+years of experience as a Python Developer.

2. Strong proficiency in Python, with a good understanding of their ecosystems. 3. Knowledge of server-side templating languages such as Jinja 2 or EJS.

4. Understanding of front-end technologies, such as HTML5, CSS3, and JavaScript.

5. Experience with data migration, transformation, and scripting.

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

7. Knowledge of authentication and authorization mechanisms.

8. Familiarity with common front-end development tools, such as Babel, Webpack, etc. 9. Strong problem-solving skills and attention to detail.

10. Excellent communication and collaboration skills.

11. Ability to work well in a team-oriented, collaborative environment.

12. Experience with microservices architecture is a plus.

Responsibilities:

• Engage directly with key clients through proactive communication, including outbound calls, virtual meetings, and in-person visits.
• Manage the complete sales cycle from lead generation to deal closure, ensuring a seamless end-to-end experience for the client.
• Understand client business needs, challenges, and objectives to offer tailored solutions that align with company services.
• Build and nurture strong, long-term relationships with key accounts to ensure high customer satisfaction and retention.
• Strategically follow up on leads and business inquiries, providing relevant information via email, calls, or meetings.
• Develop and maintain a comprehensive database of current and potential clients, tracking engagement and sales activity.
• Create and implement customized sales strategies, including cold outreach, networking, and lead qualification, to drive business growth.
• Proactively identify and pursue new business opportunities to consistently achieve and exceed revenue targets.
• Present and clearly explain services to prospective clients, showcasing value propositions and ROI.
• Conduct market research to identify emerging trends, competitor activity, and potential areas for business development.
• Meet and exceed monthly and quarterly sales targets by effectively managing a pipeline of key accounts.

Desired Candidate Profile:

• Experience: 1 to 4 years in key account management or B2B sales, with demonstrated success in end-to-end sales cycles.
• Strong communication, negotiation, and presentation skills.
• Ability to manage multiple client relationships and prioritize tasks effectively.
• Self-motivated, target-driven, and comfortable working in a dynamic, fast-paced environment.

Job Description: 

• Experience in Core Java, Spring Boot. 

• Experience in microservices. 

• Extensive experience in developing enterprise-scale systems for global organization. Should possess good architectural knowledge and be aware of enterprise application design patterns. 

• Should be able to analyze, design, develop and test complex, low-latency client-facing applications. 

• Good development experience with RDBMS in SQL Server, Postgres, Oracle or DB2 

• Good knowledge of multi-threading 

• Basic working knowledge of Unix/Linux 

• Excellent problem solving and coding skills in Java 

• Strong interpersonal, communication and analytical skills. 

• Should be able to express their design ideas and thoughts. 

JOB DESCRIPTION:

Design and build application for iOS platforms

Writing well designed, testable, efficient code by using the best software development practices

Responsible for working on iOS frameworks, Xcode, Swift, Rxswift, Xcode SDK Platform tools

Responsible to work on bug fixing and improving application performance

Create and maintain software documentation

Stay plugged into emerging technologies/industry trends and apply them into operations and activities