73 Python Programming Jobs

Lead and mentor SRE engineering team Design and maintain scalable, highly available AWS cloud infrastructure Develop automation tools/frameworks using Python Architect/manage real-time data streaming pipelines with Apache Kafka Manage container orchestration using Kubernetes (K8s) Collaborate with product, development, and operations teams Implement monitoring, alerting, and incident response strategies Drive continuous improvement for reliability, scalability, and security Participate in on-call rotations and lead root cause analysis of incidents Contribute to technical strategy, architecture, and roadmaps

ExperienceRequired: 8-10 years PositionType: Contract WorkMode: Remote,Delhi NCR,Bengaluru,Chennai,Pune,Kolkata,Ahmedabad, Mumbai, Hyderabad ShiftTiming: Flexible can start between 11 AM to 2 PM IST, end between 8 PM to 11 PM IST 3MustSkills: Gen AI, AWS, SQL Key Responsibilities NLP Expertise: Strong foundation in NLP methods text classification, sentiment detection, entity recognition. RAG Expertise: Proficiency with Retrieval-Augmented Generation (RAG); experience with vector databases (Weaviate, Pinecone). LLM Applications: At least 1 year experience building LLM-based applications using 3rd-party models (OpenAI, Anthropic). Prompt Engineering: Skilled in prompt engineering, crafting function calls, building conversational AI apps. Advanced LLM Techniques: Familiarity with zero-shot, few-shot learning, and fine-tuning. Python Programming: Extensive Python programming expertise to implement complex solutions. GenAI Libraries: Experience with Langchain, HuggingFace. Version Control: Proficient with Git and collaborative workflows. Data Preparation: Manage large structured & unstructured datasets. ML Deployment: Deploy, scale, and monitor ML/LLM models in live environments. Collaboration: Occasional overlap with US Eastern Time for team collaboration. DesiredExperience OpenSourceLLMs: Experience with frameworks like Llama or Mistral. RegulatedSectorExperience: Prior experience with data in regulated sectors (Healthcare, Banking). TechnicalSkillsAndCapabilities APIDevelopment: RESTful API design & development (Python-FastAPI). JavaScriptExpertise: Frontend & backend development using JavaScript + frameworks. Microservices Architecture: Architect scalable microservices-based solutions. GenerativeAILandscape: Deep understanding of RAG, vector embeddings, LLMs, OSS AI tools. CloudPlatforms: AWS / Azure / GCP deep understanding of cloud data services. DatabaseExpertise: SQL & NoSQL database design and optimization. DataStreaming: Kafka / Azure Event Hub / AWS Kinesis experience. AgilePractices: Experience with Agile development, Git, Jenkins, Azure DevOps. CICDPipelines: Ability to build/manage CI/CD pipelines. CommunicationSkills: Strong team collaboration, technical & non-technical stakeholder engagement.

Strong working experience in Python programming. Expertise with one of the Python frameworks - pyspark, Strong experience with using pandas, numpy, joblib and other popular libraries. Must have experience With AWS EMR and Pyspark Good working experience with parallel batch processing with python Good working experience On AWS Batch and Step functions Should have the expertise to write an effective, scalable, highly performable code Good to have Apache Airflow Should have implemented 2 or more large-scale projects and be a part of end-to-end system implementation. Good analytical and problem-solving skills

Job Description Join our team as a Generative AI Architect in the AI Practice! We are looking for a visionary individual to lead the design, development, and deployment of cutting-edge Generative AI solutions, driving business value across our products and services. Key Responsibilities: - Lead generative AI initiatives in text, ASR, TTS & STT generation and develop AI pipelines and ML models. - Design scalable AI systems using state-of-the-art generative models like LLMs and diffusion models. - Collaborate with cross-functional teams to integrate generative AI into business workflows. - Define best practices for model lifecycle management, focusing on data preparation, training, evaluation, deployment, and monitoring. - Guide ethical AI development with a focus on fairness, interpretability, and compliance. Qualifications: - Bachelors or Masters degree in Computer Science or related field. - 7+ years of AI/ML development experience, with 2+ years in generative AI. - Hands-on experience with large language models and diffusion models. - Strong proficiency in Python and ML frameworks. - Experience with Azure, GCP, and containerization. - Familiarity with AI architecture patterns and model fine-tuning. - Knowledge of data privacy laws and AI ethics principles. Preferred: - Experience deploying GenAI applications in production. - Knowledge of vector databases and retrieval-augmented generation. - Experience with CI/CD pipelines for ML. Skills : - Generative AI,Large Language Models (LLMs),Diffusion Models,Machine Learning (ML),Artificial Intelligence (AI),Natural Language Processing (NLP),Python Programming,ML Frameworks (e.g., TensorFlow, PyTorch, Hugging Face),Azure,GCP,Ethical AI,Responsible AI,Vector Databases, RAG

Develop, test, maintain backend components,APIs using Python Collaborate with frontend developers, QA, product teams to define deliver Write reusable, testable, and efficient code Integrate data storage solutions like relational and NoSQL databases Required Candidate profile Optimize applications for maximum speed,scalability Implement security, data protection practices Debug,resolve technical issues and performance bottlenecks Good understanding of version control (Git) Perks and benefits Perks and Benefits

Role Overview: Were seeking a hands-on technical manager with deep expertise in embedded firmware to drive innovation across our intelligent video and IoT product lines. You will lead and mentor a multidisciplinary engineering team of around 20 membersincluding embedded software, image tuning, MCU, and QA engineerswith a mandate to further expand and strengthen the team as Pixcellence continues to grow. The role also involves collaboration with Pixcellence's Hardware Design Team to ensure seamless integration across hardware, firmware, and software layers. Key Responsibilities: Manage and mentor embedded-focused engineering teams. Lead project execution across Embedded Software, MCU, QA, Image Quality Tuning teams, ensuring high-quality, on-time deliverables. Architect and contribute to firmware/software for embedded Linux systems. Resolve technical blockers through active coding, debugging, and review. Collaborate with project leads, product managers, and global teams. Align global engineering efforts with international teams (USA, Taiwan) across hardware, firmware, and video innovation. Engage with Pixcellence’s in-house Hardware Lab and Image Quality Tuning Lab during product development and validation. Build a high-performance team culture rooted in accountability and trust. Collaborate with the Hardware Design Team for board bring-up, system-level integration, and joint debug/testing efforts. Mentor engineers to develop cross-functional expertise across firmware, IoT, and multimedia domains. Apply systems-level thinking to align firmware, multimedia, and hardware integration across the product architecture. Interface with international stakeholders and partner teams for roadmap alignment, technical reviews, and escalations. Play an active role in recruiting, interviewing, and onboarding high-caliber engineering talent to support ongoing growth and innovation. Must-Have Skills: Embedded Linux, RTOS, and kernel-level programming Device drivers, bootloaders (u-boot), and board bring-up C, C++, Python programming Prior experience managing a team 2+ years is preferred. Tools & Platforms: Dev Tools: Git, Jira, CMake, Yocto, Buildroot Scripting & Automation: Bash, Python Debug: JTAG, Oscilloscopes, Logic Analyzers Experience with embedded video product development or IoT-based product design Nice to Have: Multimedia Exposure: Video pipeline, video analytics, streaming frameworks such as GStreamer Imaging: Knowledge of Image Processing, ISP tuning, camera hardware pipelines, or encoding systems Audio: Familiarity with audio processing, codecs (e.g., G.711, G.722, etc.), Echo Cancellation, etc. Soft Skills & Leadership: Empathetic leadership and team-building instincts Conflict resolution and performance coaching Clear communication with cross-functional and global teams Cultural sensitivity and adaptability

Embedded Application Development in C and Python Experience with communication protocols: CAN, SPI, I2C, RS232/RS422/RS485, Modbus, TCP/IP Strong understanding of OS and RTOS concepts Proficiency in using various debugging tools

Technical Skills Required: ETL Concepts: Strong understanding of Extract, Transform, Load (ETL) processes. Ability to design, develop, and maintain robust ETL pipelines. Database Fundamentals: Proficiency in working with relational databases (e.g., MySQL, PostgreSQL, Oracle, or MS SQL Server). Knowledge of database design and optimization techniques. Basic Data Visualization: Ability to create simple dashboards or reports using visualization tools (e.g., Tableau, Power BI, or similar). Query Optimization: Expertise in writing efficient, optimized queries to handle large datasets. Testing and Documentation: Experience in validating data accuracy and integrity through rigorous testing. Ability to document data workflows, processes, and technical specifications clearly. Key Responsibilities: Data Engineering Tasks: Design, develop, and implement scalable data pipelines to support business needs. Ensure data quality and integrity through testing and monitoring. Optimize ETL processes for performance and reliability. Database Management: Manage and maintain databases, ensuring high availability and security. Troubleshoot database-related issues and optimize performance. Collaboration: Work closely with data analysts, data scientists, and other stakeholders to understand and deliver on data requirements. Provide support for data-related technical issues and propose solutions. Documentation and Reporting: Create and maintain comprehensive documentation for data workflows and technical processes. Develop simple reports or dashboards to visualize key metrics and trends. Learning and Adapting: Stay updated with new tools, technologies, and methodologies in data engineering. Adapt quickly to new challenges and project requirements. Additional Requirements: Strong communication skills, both written and verbal. Analytical mindset with the ability to solve complex data problems. Quick learner and willingness to adopt new tools and technologies as needed. Flexibility to work in shifts, if required. Preferred Skills (Not Mandatory): Experience with cloud platforms (e.g., AWS, Azure, or GCP). Familiarity with big data technologies such as Hadoop or Spark. Basic understanding of machine learning concepts and data science workflows. Mandatory Key Skills Python Programming,ETL Concepts,Database Management,Query Optimization,Data Visualization,Cloud Platform,AWS,Azure,GCP,Advanced Python,Tableau,Power BI,SQL*

Summary Bitkraft Technologies LLP is looking for skilled Senior Python Developer to join our software engineering team You will be working across the technology stack on cutting edge innovative web development projects for our custom services business. The ideal candidate will have a solid background in building scalable, maintainable, and high-performance applications using Python and FastAPI You will be responsible for leading a development team, engaging in technical design, and ensuring best practices are followed for delivering quality solutions. If you love solving problems, are a team player and want to work in a fast-paced environment with core technical and business challenges, we would like to meet you. Must-Know Skills Strong proficiency in Python/FastAPI (highest priority). Solid understanding of design patterns and object-oriented programming (OOP). Experience with Test-Driven Development (TDD). Hands-on experience with ORMs for database interaction. Kafka / Kafka consumers recent practical exposure is required. Preferred Skills Familiarity with Java Spring Boot. Knowledge of basic AWS services. Understanding of Docker and containerization concepts. Experience with multi-threading and concurrent programming. Nice-to-Have Skills (Non-Mandatory) Frontend/UI exposure : While React experience is not a priority, familiarity with UI development practices from a deployment and debugging perspective is desirable However, candidates will not be expected to contribute to frontend development. TimeSeries DB and Druid: Can be omitted from the evaluation criteria. Apache Iceberg familiarity is a plus but not required. Key Responsibilities Lead and mentor a team of developers to ensure best practices, code quality, and high-performance application development. Participate in the technical design and code review process to ensure architecture and solutions align with business requirements and scalability goals. Set development standards and ensure adherence to them across the team to deliver high-quality solutions. Build and optimize reusable Python libraries that are thread-safe, performance-optimized, and include robust exception handling. Collaborate closely with product owners, senior technical architects, and global teams to define application requirements and deliver solutions. Ensure continuous improvement in development processes by leveraging TDD and agile methodologies. Maintain a focus on building scalable and maintainable software that supports business growth and is capable of handling increasing data loads. Experience : 6+ years

We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation!? Our IS&T (Information Services and Technology) department provides all the required technology and operational support services to run our business here in BMC! We have over 200 servers on premises to support production, disaster recovery, databases, applications and over 1000 servers in Lab environment. IS&T is transformational not only for BMC but also for the customer experience, because we give a 360 degrees view to the customer about the products they should know, opportunities in the pipeline, and any service issues outstanding with the customer. We use cutting-edge technologies to manage BMC's infrastructure and showcase it to the customers program is called BMC on BMC! We are seeking a highly motivated and detail-oriented Senior Information Security Engineer to join our team. This individual will play a critical role in ensuring the security of our network infrastructure and protecting sensitive data across our systems. The ideal candidate is passionate about cybersecurity, eager to learn, and has excellent problem-solving skills. They will work in a dynamic environment, addressing complex security challenges and continuously staying up to date with new technologies. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Deploy and maintain security tools and systems. Implement security policy, standards, guidelines, processes, and procedures to ensure ongoing security posture. Design and implement secure network architectures: Collaborate with the IT team to design, build, and maintain secure network topologies, ensuring protection from external and internal threats. Automation and scripting: Use Python and other scripting languages to automate security tasks, improve efficiency, and manage security infrastructure. Security incident response: Investigate and respond to security incidents, identifying the root cause and implementing solutions to prevent future incidents. Collaborate with cross-functional teams: Work with network engineers, software developers, and system administrators to implement security best practices across all layers of the organizations technology stack. Stay updated on the latest security trends and technologies: Continuously research and learn new security tools, trends, and technologies, applying them to the organizations environment. To ensure youre set up for success, you will bring the following skillset & experience: 3+ years of experience in a similar Security Engineering/DevOps role. Curiosity and eagerness to learn new technologies: A passion for exploring new cybersecurity tools, methods, and best practices. Hands-on experience with Linux-based environments, including hardening and securing servers. Proficiency in Python programming for automating tasks and scripting security processes. Excellent troubleshooting and logic skills: Strong analytical and problem-solving capabilities, with the ability to think critically and resolve complex issues. Strong understanding of network architecture and protocols: Ability to design and comprehend complex network topologies, troubleshoot network issues, and optimize security. Ability to work with little supervision as well as being a team player with excellent verbal, written, and interpersonal communication skills. Nice to Have: Experience with firewall configurations, IDS/IPS, and security event monitoring tools. Familiarity with cloud security (AWS, Azure, Google Cloud, OCI) is a plus. Familiarity with cybersecurity frameworks: Experience working with NIST, CIS, ISO 27001, or similar security standards is a plus. Previous experience working with vulnerability management technologies (e.g. Tenable, Rapid7, Qualys) preferred. Security Certifications such as CISSP, CEH, CompTIA Security+, or GIAC.

As an AI/ML Engineer , you will be instrumental in developing and implementing cutting-edge AI solutions, with a strong focus on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques. You will leverage your expertise in Python and cloud platforms like Google's Vertex AI to build innovative applications, potentially within the ad serving industry. Key Responsibilities: Develop and implement AI/ML solutions utilizing Large Language Models (LLMs). Design and implement Retrieval-Augmented Generation (RAG) pipelines. Write robust and efficient Python code for various AI/ML tasks. Develop and integrate code that interacts with external APIs. Craft effective prompts for Large Language Models to achieve desired outcomes. Utilize Google's Vertex AI platform for model development and deployment. Potentially contribute to projects within the ad serving industry, applying AI/ML techniques. Collaborate effectively with cross-functional teams to understand requirements and deliver solutions. Explain complex technical concepts clearly to both technical and non-technical audiences. Required Qualifications: B.Tech degree in Computer Science, Software Engineering, Web Development, or a related field. 4+ years of proven experience in software development with a focus on Python. Solid Python coding skills. Experience writing code that calls APIs. Experience writing prompts for large language models (LLM). Experience with Retrieval-Augmented Generation (RAG). Experience with Google's Vertex AI. Experience with the ad serving industry (a plus). Ability to explain complex technical concepts to non-technical audiences. Exceptional written and verbal communication skills. Ability to work effectively with cross-functional teams.

Job Description : Roles & Responsibilities : - Writing reusable, testable, and efficient code. - Design and implementation of low-latency, high-availability, and performant applications. - Implementation of security and data protection. - Integration of data storage solutions. Desired Qualifications and Experience : - Computer Science or equivalent Engineering degree. - 2+ years of professional experience as a Python Developer. - Must have Knowledge of framework like Flask . - Must have hands-on experience in Fast API. - Working experience of Mongodb. - Knowledge of databases like mysql or postgresql. - ORM and RDBMS knowledge. - Basic understanding of front end like html, css and javascript. - Understanding of server-side templating languages. - Expertise in Core Python. - Understanding of accessibility and security compliance. - Knowledge of user authentication and authorization between multiple systems, servers and environments.

JD: Optical, Python Automation: Experience -: 3 yrs - 12 yrs Notice period - Immediate - 90 Days Mandatory Skill- Optical / OTN and Python Automation Job Requirements: BE/MTech or BCA with MCA OR M.Sc. in Computer Science, Information Technology, Electronics and Communication, or related field Minimum 3 years of experience in Python automation Key Responsibilities Design, develop, and implement automated solutions using Python Create and maintain scripts to automate repetitive tasks and processes Collaborate with cross-functional teams to identify automation opportunities Develop and execute automated test plans to ensure high-quality deliverables Troubleshoot and debug automation scripts and frameworks Continuously improve and optimize existing automation workflows Document automation processes and provide training to team members Stay updated with the latest automation technologies and best practices Required Skills Strong proficiency in Python programming 1. Experience with automation using Python is a must, including either: Selenium automation and RESTful API automation

Duration : 6 Months Location : Bangalore Timings : General IST Notice Period : within 15 days or immediate joiner Experience : 4 - 6 Years About the Role : Role Overview : We are seeking a Backend Developer with strong Python expertise to join our dynamic team. You will contribute to high-impact projects involving quantitative models, risk frameworks, and trade optimization strategies. This role requires hands-on experience in developing scalable systems, building robust databases, and implementing complex algorithms. Location Requirement : This role is based in Bengaluru. Candidates must be open to face-to-face interviews and working on-site. Key Responsibilities : Quantitative Solutions Development : - Design and implement quantitative models for portfolio analysis and alpha generation. - Develop robust risk models to optimize trade execution and performance. Back-Testing & Data Management : - Build comprehensive back-testing infrastructure for strategy validation and performance monitoring - Design and maintain databases with automated updates, anomaly detection, and job monitoring Custom Data Collection & Analytics : - Develop advanced web scrapers for collecting datasets for research and analysis. - Create analytics frameworks and interactive dashboards to visualize portfolio performance and research insights. Required Skills : Education : - Bachelor's Degree in Computer Science or related field. Technical Proficiency : - 4-6 years of professional software development experience. - Strong programming skills in Python with a focus on object-oriented design and algorithms. - Proficiency in database technologies (SQL, PostgreSQL). - Understanding of system architecture, design patterns, and scalability. Preferred Skills : - Master's Degree in Computer Science or related field. - Experience in software engineering best practices (coding standards, code reviews, testing, source control). - Familiarity with cloud services like AWS, Azure, or GCP. - Exposure to fin-tech, quantitative models, or data-driven applications. - Knowledge of data visualization tools (Tableau, Power BI) and Python libraries (Pandas, NumPy, Matplotlib).

Responsibilities Understand the test specification that suite customer deployments and come up with detailed test plans for the functionality. Automation framework development and enhancements Automate test cases and execute as part of new feature testing, and enabling automated regression runs for subsequent releases. Execute the test plans to deliver quality products Understand requirements, functional and design aspects of the product. Requirements Required : Good programming skills and Experience in any of the languages like Python or Java Good knowledge of automation framework Experience with automation efforts, writing and debugging automation tests for complex enterprise software Familiar with one of the following domains (Databases (SQL Server/Oracle), Storage(SAN/NAS/HCI), Virtualization) Experience with trouble shooting and debugging in Windows environments. Qualifications and Experience Bachelor's degree in Computer Science or Related field required. Advanced degree in Computer Science preferred. Experience of 3-6 years in developing Enterprise software

Key Responsibilities - Python & PySpark: - Writing efficient ETL (Extract, Transform, Load) pipelines. - Implementing data transformations using PySpark DataFrames and RDDs. - Optimizing Spark jobs for performance and scalability. - Apache Spark: - Managing distributed data processing. - Implementing batch and streaming data processing. - Tuning Spark configurations for efficient resource utilization. - Unix Shell Scripting: - Automating data workflows and job scheduling. - Writing shell scripts for file management and log processing. - Managing cron jobs for scheduled tasks. - Google Cloud Platform (GCP) & BigQuery: - Designing data warehouse solutions using BigQuery. - Writing optimized SQL queries for analytics. - Integrating Spark with BigQuery for large-scale data processing

Duration: 12Months Job Type: Contract Work Type: Onsite Job Description : Roles and Responsibilities: Python Automation Engineer (2 to 4 years) with Lead experience Sound knowledge on with Python programming, Test automation Experience with Automation framework and code development skills. Domain: Server, Storage or Networking area engineers for work allocation, resolving roadblocks and tracking. Experience in preparing weekly status and highlight project risk in timely manner. Good communication skills written and verbal. Good to have: Any programming skills like Selenium and GUI automation Mandatory Skills: CLI Automation in-depth knowledge in python programming and work experience Domain: Server, Storage or Networking area Test automation Good to have: Any programming skills like Selenium and GUI automation

Duration: 24Months Job Type: Contract Work Type: Onsite Job Description : Roles & Responsibilities: Python Automation Engineer (6 to 8 years) with Lead experience Sound knowledge on with Python programming, Test automation Experience with Automation framework and code development skills. Domain: Server, Storage or Networking area engineers for work allocation, resolving roadblocks and tracking. Experience in preparing weekly status and highlight project risk in timely manner. Good communication skills written and verbal. Good to have: Any programming skills like Selenium and GUI automation

Experience: 1+ year in Python (Preferred) Job Description: We are looking for a highly skilled Python Developer with expertise in cryptography and secure application development. If you have experience with Python, Flask, SQLAlchemy, Alembic, and PostgreSQL, and have worked with cryptographic algorithms like A256CBC-HS512 or ECDH-1PU+A256KW, wed love to hear from you! Key Responsibilities: Develop secure and scalable applications using Python & Flask. Implement and optimize database solutions using SQLAlchemy, Alembic, and PostgreSQL. Work on cryptography-driven applications and blockchain solutions. Design, develop, and maintain APIs with secure authentication and encryption. Conduct thorough unit and integration testing for software reliability. Stay up to date with advancements in cryptography, blockchain, and cybersecurity. Communicate effectively with global clients via voice & video calls, handling accents like Spanish, French, Ukrainian, Polish, and American English. Qualifications: Bachelors degree in Computer Science, Engineering, or a related field. Strong proficiency in Python programming. Hands-on experience with Flask (preferred). Familiarity with SQLAlchemy, Alembic, and PostgreSQL. Deep understanding of public key cryptography concepts. Experience with blockchain technology is a plus. Strong communication skills to interact with global clients. Ability to adapt and learn new technologies quickly. Additional Information: Candidates with strong Python skills and a willingness to learn Flask and SQLAlchemy are encouraged to apply! This role offers an opportunity to work on cutting-edge cryptographic projects while collaborating with an international team. Day shift Monday to Friday Location-Remote,Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Job Location: Gurugram Mode of work: Hybrid Techno-functional Role(Python scripting + IFRS 9 Reporting) Skillset required: CA/CWA/MBA/any Graduate-Finance - Python writing and reading scripting experience + IFRS 9 +With Insurance Background Interested can share updated resume in-line with JD if skill set matches to gramashetty@allegisglobalsolutions.com Principal responsibilities Customers / Stakeholders Ensure support is provided as per requirement to onshore counterparts Attend/Organize all business calls /meetings and drive issue resolution as required Respond to queries from senior group level management as appropriate Leadership & Teamwork Drive performance metrics in line with requirements. Manage peak loads of work and also identify and re-engineer processes to reduce month end workload. Operational Effectiveness & Control Ensure proactive controls in place to highlight issues before they are picked up by business. Manage the Operational Risk and maintain cross training for all deliverables. Qualifications - Externa l Qualified CA / CWA with at least 10+ years of post-qualification experience in accounting Qualified MBA finance with at least 10+ years of post-qualification experience from reputed institutes Past experience of working in insurance companies, consultancy or organization of repute will be an advantage. Ability to develop effective working relationships with business partners/customers Ability to bring analytical rigour, structure and solution to problematic areas. An excellent attention to detail. Very good working knowledge of Microsoft Office is essential. Is expected to have strong technical understanding of accounting principles and demonstrated competence in their application. Ability in Business Reporting and Analysis Business Expert knowledge of Python software proficiency in write and edit scripts Exposure to IFRS17 accounting and reporting as per standard Should be having good understanding of IFRS 9 and investment accounting and reporting Should be a subject matter expert on preparation of Entity Financial Control Activities Ledger Close, Cost Analysis, SARACEN Primary and Supplementary Financials, Analytical Reviews, Balance Sheet Reconciliations and Substantiation Should have in-depth knowledge around preparation and review of the schedules and financial results for Insurance entity Should be able to comprehend and implement the controls and procedures in regard to Financial Control processes Review and processing of receipts, adjustments and preparation of underwriting booking data underwriting analysis Preparation of reports and documents for Global and Local Employee Benefits stakeholders Regards, Gopala BR HR Talent Acquisition

Role & responsibilities Urgent hiring for one of the reputed MNC Data Analyst Exp - 5 - 10 Years Only immediate joiners Location - Bangalore JD: Data Analyst Mandatory SKILLS 1. SQL : Proficient in database object creation including tables, views, indexes etc. Strong expertise in SQL queries ,Stored procedure & Function etc. Experienced in performance tuning & optimization techniques. 2.PowerBI : Proficiency in Power BI development, including report and dashboard creation Design, develop, and maintain complex Power BI data models, ensuring data integrity and consistency. Comprehensive understanding of data modeling and data visualization concepts Identify and resolve performance bottlenecks in Power BI reports and data models. Experience with Power Query & DAX 3. Problem-Solving Skills: Strong analytical and problem-solving skills to identify and resolve data-related issues. 4.Python : Strong proficiency in Python programming. 5.PySpark: Extensive experience with PySpark, including DataFrames & SparkSQL. Preferred candidate profile

Responsibilities: Develop and maintain data pipelines using GCP. Write and optimize queries in BigQuery. Utilize Python for data processing tasks. Manage and maintain SQL Server databases. Must-Have Skills: Experience with Google Cloud Platform (GCP). Proficiency in BigQuery query writing. Strong Python programming skills. Expertise in SQL Server. Good to Have: Knowledge of MLOps practices. Experience with Vertex AI. Background in data science. Familiarity with any data visualization tool.

Key Responsibilities: Collaborate with data scientists to support end-to-end ML model development, including data preparation, feature engineering, training, and evaluation. Build and maintain automated pipelines for data ingestion, transformation, and model scoring using Python and SQL.. Assist in model deployment using CI/CD pipelines (e.g., Jenkins) and ensure smooth integration with production systems. Develop tools and scripts to support model monitoring, logging, and retraining workflows. Work with data from relational databases (RDS, Redshift) and preprocess it for model consumption. Analyze pipeline performance and model behavior; identify opportunities for optimization and refactoring. Contribute to the development of a feature store and standardized processes to support reproducible data science. Required Skills & Experience: 13 years of hands-on experience in Python programming for data science or ML engineering tasks. Solid understanding of machine learning workflows, including model training, validation, deployment, and monitoring. Proficient in SQL and working with structured data from sources like Redshift, RDS, etc. Familiarity with ETL pipelines and data transformation best practices. Basic understanding of ML model deployment strategies and CI/CD tools like Jenkins. Strong analytical mindset with the ability to interpret and debug data/model issues. Preferred Qualifications: Exposure to frameworks like scikit-learn, XGBoost, LightGBM, or similar. Knowledge of ML lifecycle tools (e.g., MLflow, Ray). Familiarity with cloud platforms (AWS preferred) and scalable infrastructure. Experience with data or model versioning tools and feature engineering frameworks.

Key Responsibilities: Collaborate with data scientists to support end-to-end ML model development, including data preparation, feature engineering, training, and evaluation. Build and maintain automated pipelines for data ingestion, transformation, and model scoring using Python and SQL.. Assist in model deployment using CI/CD pipelines (e.g., Jenkins) and ensure smooth integration with production systems. Develop tools and scripts to support model monitoring, logging, and retraining workflows. Work with data from relational databases (RDS, Redshift) and preprocess it for model consumption. Analyze pipeline performance and model behavior; identify opportunities for optimization and refactoring. Contribute to the development of a feature store and standardized processes to support reproducible data science. Required Skills & Experience: 13 years of hands-on experience in Python programming for data science or ML engineering tasks. Solid understanding of machine learning workflows, including model training, validation, deployment, and monitoring. Proficient in SQL and working with structured data from sources like Redshift, RDS, etc. Familiarity with ETL pipelines and data transformation best practices. Basic understanding of ML model deployment strategies and CI/CD tools like Jenkins. Strong analytical mindset with the ability to interpret and debug data/model issues. Preferred Qualifications: Exposure to frameworks like scikit-learn, XGBoost, LightGBM, or similar. Knowledge of ML lifecycle tools (e.g., MLflow, Ray). Familiarity with cloud platforms (AWS preferred) and scalable infrastructure. Experience with data or model versioning tools and feature engineering frameworks.

Python Programming - Min 5 yrs FAST API Framework experience to develop REST endpoints Experience with Microservice Architecture. Databases -PostgreSQL, MySql Cloud - AWS and / or Azure Building CI/CD pipelines Docker Building, Kubernetes Mandatory Skill Python Programming Building CI/CD pipelines AWS and/or Azure