50+ Python Jobs in Pune | Python Job openings in Pune

Job description

Opportunity to work on cutting-edge tech pieces & build from scratch

Ensure seamless performance while handling large volumes of data without system slowdowns

Collaborate with cross-functional teams to meet business goals

Required Skills:

Frontend: ReactJS (Next.js must)

Backend: Exp in Node.js, Python, or Java

Databases: SQL (must), MongoDB (nice to have)

Caching & Messaging: Redis, Kafka, or Cassandra exp

Cloud certification is a bonus

General Summary:

The Senior Software Engineer will be responsible for designing, developing, testing, and maintaining full-stack solutions. This role involves hands-on coding (80% of time), performing peer code reviews, handling pull requests and engaging in architectural discussions with stakeholders. You'll contribute to the development of large-scale, data-driven SaaS solutions using best practices like TDD, DRY, KISS, YAGNI, and SOLID principles. The ideal candidate is an experienced full-stack developer who thrives in a fast-paced, Agile environment.

Essential Job Functions:

• Design, develop, and maintain scalable applications using Python and Django.
• Build responsive and dynamic user interfaces using React and TypeScript.
• Implement and integrate GraphQL APIs for efficient data querying and real-time updates.
• Apply design patterns such as Factory, Singleton, Observer, Strategy, and Repository to ensure maintainable and scalable code.
• Develop and manage RESTful APIs for seamless integration with third-party services.
• Design, optimize, and maintain SQL databases like PostgreSQL, MySQL, and MSSQL.
• Use version control systems (primarily Git) and follow collaborative workflows.
• Work within Agile methodologies such as Scrum or Kanban, participating in daily stand-ups, sprint planning, and retrospectives.
• Write and maintain unit tests, integration tests, and end-to-end tests, following Test-Driven Development (TDD).
• Collaborate with cross-functional teams, including Product Managers, DevOps, and UI/UX Designers, to deliver high-quality products

Essential functions are the basic job duties that an employee must be able to perform, with or without reasonable accommodation. The function is considered essential if the reason the position exists is to perform that function.

Supportive Job Functions:

• Remain knowledgeable of new emerging technologies and their impact on internal systems.
• Available to work on call when needed.
• Perform other miscellaneous duties as assigned by management.

These tasks do not meet the Americans with Disabilities Act definition of essential job functions and usually equal 5% or less of time spent. However, these tasks still constitute important performance aspects of the job.

Skills

• The ideal candidate must have strong proficiency in Python and Django, with a solid understanding of Object-Oriented Programming (OOPs) principles. Expertise in JavaScript,
• TypeScript, and React is essential, along with hands-on experience in GraphQL for efficient data querying.
• The candidate should be well-versed in applying design patterns such as Factory, Singleton, Observer, Strategy, and Repository to ensure scalable and maintainable code architecture.
• Proficiency in building and integrating REST APIs is required, as well as experience working with SQL databases like PostgreSQL, MySQL, and MSSQL.
• Familiarity with version control systems (especially Git) and working within Agile methodologies like Scrum or Kanban is a must.
• The candidate should also have a strong grasp of Test-Driven Development (TDD) principles.
• In addition to the above, it is good to have experience with Next.js for server-side rendering and static site generation, as well as knowledge of cloud infrastructure such as AWS or GCP.
• Familiarity with NoSQL databases, CI/CD pipelines using tools like GitHub Actions or Jenkins, and containerization technologies like Docker and Kubernetes is highly desirable.
• Experience with microservices architecture and event-driven systems (using tools like Kafka or RabbitMQ) is a plus, along with knowledge of caching technologies such as Redis or
• Memcached. Understanding OAuth2.0, JWT, SSO authentication mechanisms, and adhering to API security best practices following OWASP guidelines is beneficial.
• Additionally, experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation, and familiarity with performance monitoring tools such as New Relic or Datadog will be considered an advantage.

Abilities:

• Ability to organize, prioritize, and handle multiple assignments on a daily basis.
• Strong and effective inter-personal and communication skills
• Ability to interact professionally with a diverse group of clients and staff.
• Must be able to work flexible hours on-site and remote.
• Must be able to coordinate with other staff and provide technological leadership.
• Ability to work in a complex, dynamic team environment with minimal supervision.
• Must possess good organizational skills.

Education, Experience, and Certification:

• Associate or bachelor’s degree preferred (Computer Science, Engineer, etc.), but equivalent work experience in a technology related area may substitute.
• 2+ years relevant experience, required.
• Experience using version control daily in a developer environment.
• Experience with Python, JavaScript, and React is required.
• Experience using rapid development frameworks like Django or Flask.
• Experience using front end build tools.

Scope of Job:

1. No direct reports.
2. No supervisory responsibility.
3. Consistent work week with minimal travel
4. Errors may be serious, costly, and difficult to discover.
5. Contact with others inside and outside the company is regular and frequent.
6. Some access to confidential data.

• 2+ years in a DevOps/SRE/System Engineering role
• Hands-on experience with Linux-based systems
• Experience with cloud platforms like AWS, GCP, or Azure
• Proficient in scripting (Bash, Python, or Go)
• Experience with monitoring tools (Prometheus, Grafana, ELK, Datadog, etc.)
• Knowledge of containerization (Docker, Kubernetes)
• Familiarity with Git and CI/CD tools (Jenkins, GitLab CI, etc.)

About the role

We are looking for a Senior Automation Engineer to architect and implement automated testing frameworks that validate the runtime behavior of code generated by our AI platform. This role is critical in ensuring that our platform's output performs correctly in production environments. You'll work at the intersection of AI and quality assurance, creating innovative testing solutions that can validate AI-generated applications during actual execution.

What Success Looks Like

• You architect and implement automated testing frameworks that validate the runtime behavior and performance of AI-generated applications
• You develop intelligent test suites that can automatically assess application functionality in production environments
• You create testing frameworks that can validate runtime behavior across multiple languages and frameworks
• You establish quality metrics and testing protocols that measure real-world performance of generated applications
• You build systems to automatically detect and flag runtime issues in deployed applications
• You collaborate with our AI team to improve the platform based on runtime performance data
• You implement automated integration and end-to-end testing that ensures generated applications work as intended in production
• You develop metrics and monitoring systems to track runtime performance across different customer deployments

Areas of Ownership 

Our hiring process is designed for you to demonstrate deep expertise in automation testing with a focus on AI-powered systems.

Required Technical Experience:

• 4+ years of experience with Selenium and automated testing frameworks
• Strong expertise in Python (our primary automation language)
• Experience with CI/CD tools (Jenkins, CircleCI, or similar)
• Proficiency in version control systems (Git)
• Experience testing distributed systems
• Understanding of modern software development practices
• Experience working with cloud platforms (GCP preferred)

Ways to stand out

• Experience with runtime monitoring and testing of distributed systems
• Knowledge of performance testing and APM (Application Performance Monitoring)
• Experience with end-to-end testing of complex applications
• Background in developing testing systems for enterprise-grade applications
• Understanding of distributed tracing and monitoring
• Experience with chaos engineering and resilience testing

Hybrid work mode

(Azure) EDW Experience working in loading Star schema data warehouses using framework

architectures including experience loading type 2 dimensions. Ingesting data from various

sources (Structured and Semi Structured), hands on experience ingesting via APIs to lakehouse architectures.

Key Skills: Azure Databricks, Azure Data Factory, Azure Datalake Gen 2 Storage, SQL (expert),

Python (intermediate), Azure Cloud Services knowledge, data analysis (SQL), data warehousing,documentation – BRD, FRD, user story creation.

Job Title: Software Engineer (Node.js)

Experience: 4+ Years

Location:Pune

About the Role:

We are looking for a talented and experienced Node.js Developer with a minimum of 4 years of hands-on experience to join our dynamic team. In this role, you will design, develop, and maintain high-performance applications. You should be passionate about writing clean, efficient, and scalable code.

Key Responsbilities:

• Develop and maintain secure, scalable, and high-performance server-side applications.
• Implement authentication, authorization, and data protection measures across the backend.
• Follow backend best practices in code structure, error handling, and system design.
• Stay up to date with backend security trends and evolving best practices.

Mandatory skills:

• Strong hands-on experience in Node.js development (4+ years).
• Knowledge of security best practices in backend development (e.g., input validation and sanitize, secure data storage).
• Familiarity with authentication and authorization methods such as JWT, OAuth2, or session-based auth.

Good to Have Skills:

• Experience with React.js for building dynamic user interfaces.
• Working knowledge of Python for scripting or backend tasks.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

Required Soft Skills:

• Verbal Communication

• Written Communication

• Cooperation, Teamwork & Interpersonal Skills

• Customer Focus & Business Acumen

• Critical Thinking

• Initiative, Accountability & Result Orientation

• Learning and Continuous Improvement

About the Role

Join our dynamic DTS team and collaborate with a top-tier global hedge fund on data-driven development initiatives. You'll focus on cloud migration, automation, application development, and implementing DevOps best practices, especially on Google Cloud Platform (GCP).

Key Responsibilities

✅ Design and develop scalable and secure software solutions

✅ Build and maintain apps using C#, MSSQL, Python, GCP/BigQuery

✅ Conduct code reviews and enforce best practices

✅ Troubleshoot issues and ensure smooth application performance

✅ Collaborate with cross-functional teams to drive project success

✅ Mentor and support junior developers

What We’re Looking For

• 3+ years of experience in C#, MSSQL, Python, and GCP/BigQuery
• Solid understanding of software development and DevOps in multi-cloud setups
• Strong problem-solving mindset with attention to detail
• Excellent communication and stakeholder management skills
• Proven ability to work collaboratively and guide junior team members

Good to Have

• Experience with DevOps pipelines/tools
• Exposure to agile methodologies

Job Title: Site Reliability Engineer (SRE)

Experience: 4+ Years

Work Location: Bangalore / Chennai / Pune / Gurgaon

Work Mode: Hybrid or Onsite (based on project need)

Domain Preference: Candidates with past experience working in shoe/footwear retail brands (e.g., Nike, Adidas, Puma) are highly preferred.

🛠️ Key Responsibilities

• Design, implement, and manage scalable, reliable, and secure infrastructure on AWS.
• Develop and maintain Python-based automation scripts for deployment, monitoring, and alerting.
• Monitor system performance, uptime, and overall health using tools like Prometheus, Grafana, or Datadog.
• Handle incident response, root cause analysis, and ensure proactive remediation of production issues.
• Define and implement Service Level Objectives (SLOs) and Error Budgets in alignment with business requirements.
• Build tools to improve system reliability, automate manual tasks, and enforce infrastructure consistency.
• Collaborate with development and DevOps teams to ensure robust CI/CD pipelines and safe deployments.
• Conduct chaos testing and participate in on-call rotations to maintain 24/7 application availability.

✅ Must-Have Skills

• 4+ years of experience in Site Reliability Engineering or DevOps with a focus on reliability, monitoring, and automation.
• Strong programming skills in Python (mandatory).
• Hands-on experience with AWS cloud services (EC2, S3, Lambda, ECS/EKS, CloudWatch, etc.).
• Expertise in monitoring and alerting tools like Prometheus, Grafana, Datadog, CloudWatch, etc.
• Strong background in Linux-based systems and shell scripting.
• Experience implementing infrastructure as code using tools like Terraform or CloudFormation.
• Deep understanding of incident management, SLOs/SLIs, and postmortem practices.
• Prior working experience in footwear/retail brands such as Nike or similar is highly preferred.

AccioJob is conducting a Walk-In Hiring Drive with Atomic Loops for the position of AI/ML Developer Intern.

To apply, register, and select your slot here: https://go.acciojob.com/E8wPb8

Required Skills: Python, AI, Prompting, ML understanding

Eligibility: ALL

Degree: ALL

Branch: ALL

Graduation Year: 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026

Work Details:

• Work Location: Pune (Onsite)
• CTC: 4 LPA to 5 LPA

Evaluation Process:

Round 1: Offline Assessment at AccioJob Pune Centre

Further Rounds (for shortlisted candidates only):

Profile & Background Screening Round, Company Side Process

Company Side Process

2 rounds will be for the intern role, and 3 rounds will be for the full-time role (Virtual or Face-to-Face)

Important Note: Bring your laptop & earphones for the test.

Register here: https://go.acciojob.com/E8wPb8

AccioJob is conducting a Walk-In Hiring Drive with Atomic Loops for the position of Python Developer Intern.

To apply, register and select your slot here: https://go.acciojob.com/Bg2vSq

Required Skills: Python, Django, FastAPI

Eligibility: ALL

Degree: ALL

Branch: ALL

Graduation Year: 2025, 2026

Work Details:

• Work Location: Pune (Onsite)
• CTC: 3.6 LPA to 4.2 LPA

Evaluation Process:

Round 1: Offline Assessment at AccioJob Pune Centre

Further Rounds (for shortlisted candidates only):

Profile & Background Screening Round, Interview Round 1, Interview Round 2

Important Note: Bring your laptop & earphones for the test.

Register here: https://go.acciojob.com/Bg2vSq

About NxtWave

NxtWave is one of India’s fastest-growing ed-tech startups, reshaping the tech education landscape by bridging the gap between industry needs and student readiness. With prestigious recognitions such as Technology Pioneer 2024 by the World Economic Forum and Forbes India 30 Under 30, NxtWave’s impact continues to grow rapidly across India.

Our flagship on-campus initiative, NxtWave Institute of Advanced Technologies (NIAT), offers a cutting-edge 4-year Computer Science program designed to groom the next generation of tech leaders, located in Hyderabad’s global tech corridor.

Know more:

🌐 NxtWave | NIAT

About the Role

As a PhD-level Software Development Instructor, you will play a critical role in building India’s most advanced undergraduate tech education ecosystem. You’ll be mentoring bright young minds through a curriculum that fuses rigorous academic principles with real-world software engineering practices. This is a high-impact leadership role that combines teaching, mentorship, research alignment, and curriculum innovation.

Key Responsibilities

• Deliver high-quality classroom instruction in programming, software engineering, and emerging technologies.
• Integrate research-backed pedagogy and industry-relevant practices into classroom delivery.
• Mentor students in academic, career, and project development goals.
• Take ownership of curriculum planning, enhancement, and delivery aligned with academic and industry excellence.
• Drive research-led content development, and contribute to innovation in teaching methodologies.
• Support capstone projects, hackathons, and collaborative research opportunities with industry.
• Foster a high-performance learning environment in classes of 70–100 students.
• Collaborate with cross-functional teams for continuous student development and program quality.
• Actively participate in faculty training, peer reviews, and academic audits.

Eligibility & Requirements

• Ph.D. in Computer Science, IT, or a closely related field from a recognized university.
• Strong academic and research orientation, preferably with publications or project contributions.
• Prior experience in teaching/training/mentoring at the undergraduate/postgraduate level is preferred.
• A deep commitment to education, student success, and continuous improvement.

Must-Have Skills

• Expertise in Python, Java, JavaScript, and advanced programming paradigms.
• Strong foundation in Data Structures, Algorithms, OOP, and Software Engineering principles.
• Excellent communication, classroom delivery, and presentation skills.
• Familiarity with academic content tools like Google Slides, Sheets, Docs.
• Passion for educating, mentoring, and shaping future developers.

Good to Have

• Industry experience or consulting background in software development or research-based roles.
• Proficiency in version control systems (e.g., Git) and agile methodologies.
• Understanding of AI/ML, Cloud Computing, DevOps, Web or Mobile Development.
• A drive to innovate in teaching, curriculum design, and student engagement.

Why Join Us?

• Be at the forefront of shaping India’s tech education revolution.
• Work alongside IIT/IISc alumni, ex-Amazon engineers, and passionate educators.
• Competitive compensation with strong growth potential.
• Create impact at scale by mentoring hundreds of future-ready tech leaders.

Job title - Python developer

Exp – 4 to 6 years

Location – Pune/Mum/B’lore

PFB JD

Requirements:

• Proven experience as a Python Developer
• Strong knowledge of core Python and Pyspark concepts
• Experience with web frameworks such as Django or Flask
• Good exposure to any cloud platform (GCP Preferred)
• CI/CD exposure required
• Solid understanding of RESTful APIs and how to build them
• Experience working with databases like Oracle DB and MySQL
• Ability to write efficient SQL queries and optimize database performance
• Strong problem-solving skills and attention to detail
• Strong SQL programing (stored procedure, functions)
• Excellent communication and interpersonal skill

Roles and Responsibilities

• Design, develop, and maintain data pipelines and ETL processes using pyspark
• Work closely with data scientists and analysts to provide them with clean, structured data.
• Optimize data storage and retrieval for performance and scalability.
• Collaborate with cross-functional teams to gather data requirements.
• Ensure data quality and integrity through data validation and cleansing processes.
• Monitor and troubleshoot data-related issues to ensure data pipeline reliability.
• Stay up to date with industry best practices and emerging technologies in data engineering.

Job description

Job Title: Cloud Migration Consultant – (AWS to Azure)

Experience: 4+ years in application assessment and migration

About the Role

We’re looking for a Cloud Migration Consultant with hands-on experience assessing and migrating complex applications to Azure. You'll work closely with Microsoft business units, participating in Intake & Assessment and Planning & Design phases, creating migration artifacts, and leading client interactions. You’ll also support application modernization efforts in Azure, with exposure to AWS as needed.

Key Responsibilities

• Assess application readiness and document architecture, dependencies, and migration strategy.
• Conduct interviews with stakeholders and generate discovery insights using tools like Azure Migrate, CloudockIt, PowerShell.
• Create architecture diagrams, migration playbooks, and maintain Azure DevOps boards.
• Set up applications both on-premises and in cloud environments (primarily Azure).
•  Support proof-of-concepts (PoCs) and advise on migration options.
•  Collaborate with application, database, and infrastructure teams to enable smooth transition to migration factory teams.
•  Track progress, blockers, and risks, reporting timely status to project leadership.

Required Skills

• 4+ years of experience in cloud migration and assessment
•  Strong expertise in Azure IaaS/PaaS (VMs, App Services, ADF, etc.)
•  Familiarity with AWS IaaS/PaaS (EC2, RDS, Glue, S3)
•  Experience with Java (SpringBoot)/C#, .Net/Python, Angular/React.js, REST APIs
• Working knowledge of Kafka, Docker/Kubernetes, Azure DevOps
•  Network infrastructure understanding (VNets, NSGs, Firewalls, WAFs)
•  IAM knowledge: OAuth, SAML, Okta/SiteMinder
•  Experience with Big Data tools like Databricks, Hadoop, Oracle, DocumentDB

Preferred Qualifications

• Azure or AWS certifications
•  Prior experience with enterprise cloud migrations (especially in Microsoft ecosystem)
•  Excellent communication and stakeholder management skills

Educational qualification:

B.E/B.Tech/MCA

Experience :

4+ Years

Key Responsibilities

• Assess application readiness and document architecture, dependencies, and migration strategy.
•  Conduct interviews with stakeholders and generate discovery insights using tools like Azure Migrate, CloudockIt, PowerShell.
•  Create architecture diagrams, migration playbooks, and maintain Azure DevOps boards.
•  Set up applications both on-premises and in cloud environments (primarily Azure).
•  Support proof-of-concepts (PoCs) and advise on migration options.
•  Collaborate with application, database, and infrastructure teams to enable smooth transition to migration factory teams.
•  Track progress, blockers, and risks, reporting timely status to project leadership.

Required Skills

• 4+ years of experience in cloud migration and assessment
•  Strong expertise in Azure IaaS/PaaS (VMs, App Services, ADF, etc.)
•  Familiarity with AWS IaaS/PaaS (EC2, RDS, Glue, S3)
•  Experience with Java (SpringBoot)/C#, .Net/Python, Angular/React.js, REST APIs
•  Working knowledge of Kafka, Docker/Kubernetes, Azure DevOps
•  Network infrastructure understanding (VNets, NSGs, Firewalls, WAFs)
•  IAM knowledge: OAuth, SAML, Okta/SiteMinder
•  Experience with Big Data tools like Databricks, Hadoop, Oracle, DocumentDB

Preferred Qualifications

• Azure or AWS certifications
•  Prior experience with enterprise cloud migrations (especially in Microsoft ecosystem)
•  Excellent communication and stakeholder management skills

Job Title: Developer

Work Location: Pune, MH

Skills Required: Azure Data Factory

Experience Range in Required Skills: 6-8 Years

Job Description: Azure, ADF, Databricks, Python

Essential Skills: Azure, ADF, Databricks, Python

Desirable Skills: Azure, ADF, Databricks, Python

Job Overview

• •Level 1-Previous working experience as a Data Scientist minimum 5 years
• 
  
• •Level 2-Previous working experience as a Data Scientist for 3 to 5 years
• 
  
• •In-depth knowledge of Agile process and principles
• •Outstanding communication, presentation, and leadership skills
• •Excellent organizational and time management skills
• •Sharp analytical and problem-solving skills
• •Creative thinker with a vision
• •Flexibility / capacity of adaptation
• •Presentation skills (project reviews with customers and top management)
• •Interest in industrial & automotive topics
• •Fluent in English
• •Ability to work in international teams
• 
  
• •Engineering degree with strong background in mathematics and computer science. A PhD in a quantitative field and/or a minimum of 3 years of experience in machine learning is a plus.
• •Excellent understanding of traditional machine learning techniques and algorithms, such as k-NN, SVM, Random Forests, etc.
• •Understanding of deep learning techniques
• •Understanding and, ideally, experience with Reinforcement Learning methods
• •Experience using ML, DL frameworks (Scikit-learn, XGBoost, TensorFlow, Keras, MXNet, etc.)
• •Proficiency in at least one programming language (preferably python)
• •Experience with SQL and NoSQL databases
• •Excellent verbal and written skills in English is mandatory Engineering degree.
• 
  
• Appreciated extra skills
• •Experience in signal and image processing
• •Experience in forecasting and time series modeling
• •Experience with computer vision libraries like OpenCV
• •Experience using cloud platforms
• •Experience with versioning control systems (git)
• •Interest in IoT and hardware adapted to ML tasks

Job Overview

• o Min. 5 years of experience with development in Computer vision, Machine Learning, Deep Learning and associated implementation  of algorithms
• oKnowledge and experience in 
• -Data Science/Data Analysis techniques 
• -Hands on experience of programming in Python, R and MATLAB or Octave
• -Python Frameworks for AI such as TensorFlow, PySpark, Theano etc. 
• & libraries like PyTorch, Pandas, Numpy, etc.
• -Algorithms such as Regression, SVM, Decision tree, KNN and Neural Networks
• Skills & Attributes: 
• oFast learner and Problem solving
• oInnovative thinking
• oExcellent communication skills 
• oIntegrity, accountability and transparency 
• oInternational working mindset 

Job Title: Senior Node.js and Python Azure developer ( AWS to Azure Migration expert)

Experience: 7-10 Yrs.

Primary Skills:

Node.js and Python

Hands-on experience with Azure, Serverless (Azure Functions)

AWS to Azure Cloud Migration (Preferred)

 Scope of Work:

• Hand-on experience in migration of Node.js and Python application from AWS to Azure environment
•  
• Analyse source architecture, Source code and AWS service dependencies to identify code remediations scenarios.
•  
• Perform code remediations/Refactoring and configuration changes required to deploy the application on Azure, including Azure service dependencies and other application dependencies remediations at source code. 
•  
• 7+ years of experience in application development with Node.js and Python
•  
• Experience in Unit testing, application testing support and troubleshooting on Azure. 
•  
• Experience in application deployment scripts/pipelines, App service, APIM, AKS/Microservices/containerized apps, Kubernetes, helm charts. 
•  
• Hands-on experience in developing apps for AWS and Azure (Must Have)
•  
• Hands-on experience with Azure services for application development (AKS, Azure Functions) and deployments. 
•  
• Understanding of Azure infrastructure services required for hosting applications on Azure PaaS or Serverless. 
•  
•  Tech stack details:
•  
• Confluent Kafka AWS S3 Sync connector
•  
• Azure Blob Storage
•  
• AWS lambda to Azure Functions (Serverless) – Python or Node.js
•  
• NodeJS REST API
•  
• S3 to Azure Blob Storage
•  
• AWS to Azure SDK Conversion (Must Have)

Educational qualification:

B.E/B.Tech/MCA

Job Summary:

We are seeking a skilled Python Developer with a strong foundation in Artificial Intelligence and Machine Learning. You will be responsible for designing, developing, and deploying intelligent systems that leverage large datasets and cutting-edge ML algorithms to solve real-world problems.

Key Responsibilities:

• Design and implement machine learning models using Python and libraries like TensorFlow, PyTorch, or Scikit-learn.
• Perform data preprocessing, feature engineering, and exploratory data analysis.
• Develop APIs and integrate ML models into production systems using frameworks like Flask or FastAPI.
• Collaborate with data scientists, DevOps engineers, and backend teams to deliver scalable AI solutions.
• Optimize model performance and ensure robustness in real-time environments.
• Maintain clear documentation of code, models, and processes.

Required Skills:

• Proficiency in Python and ML libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of ML algorithms (classification, regression, clustering, deep learning).
• Experience with data pipeline tools (e.g., Airflow, Spark) and cloud platforms (AWS, Azure, or GCP).
• Familiarity with containerization (Docker, Kubernetes) and CI/CD practices.
• Solid grasp of RESTful API development and integration.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
• 2–5 years of experience in Python development with a focus on AI/ML.
• Exposure to MLOps practices and model monitoring tools.

Job Purpose

Responsible for managing end-to-end database operations, ensuring data accuracy, integrity, and security across systems. The position plays a key role in driving data reliability, availability, and compliance with operational standards.

Key Responsibilities:

• Collate audit reports from the QA team and structure data in accordance with Standard Operating Procedures (SOP).
• Perform data transformation and validation for accuracy and consistency.
• Upload processed datasets into SQL Server using SSIS packages.
• Monitor and optimize database performance, identifying and resolving bottlenecks.
• Perform regular backups, restorations, and recovery checks to ensure data continuity.
• Manage user access and implement robust database security policies.
• Oversee database storage allocation and utilization.
• Conduct routine maintenance and support incident management, including root cause analysis and resolution.
• Design and implement scalable database solutions and architecture.
• Create and maintain stored procedures, views, and other database components.
• Optimize SQL queries for performance and scalability.
• Execute ETL processes and support seamless integration of multiple data sources.
• Maintain data integrity and quality through validation and cleansing routines.
• Collaborate with cross-functional teams on data solutions and project deliverables.

Educational Qualification: Any Graduate

Required Skills & Qualifications:

• Proven experience with SQL Server or similar relational database platforms.
• Strong expertise in SSIS, ETL processes, and data warehousing.
• Proficiency in SQL/T-SQL, including scripting, performance tuning, and query optimization.
• Experience in database security, user role management, and access control.
• Familiarity with backup/recovery strategies and database maintenance best practices.
• Strong analytical skills with experience working with large and complex datasets.
• Solid understanding of data modeling, normalization, and schema design.
• Knowledge of incident and change management processes.
• Excellent communication and collaboration skills.
• Experience with Python for data manipulation and automation is a strong plus.

We are seeking a highly skilled and motivated MLOps Engineer with 3-5 years of experience to join our engineering team. The ideal candidate should possess a strong foundation in DevOps or software engineering principles with practical exposure to machine learning operational workflows. You will be instrumental in operationalizing ML systems, optimizing the deployment lifecycle, and strengthening the integration between data science and engineering teams.

Required Skills:

• Hands-on experience with MLOps platforms such as MLflow and Kubeflow.

• Proficiency in Infrastructure as Code (laC) tools like Terraform or Ansible.

• Strong familiarity with monitoring and alerting frameworks (Prometheus, Grafana, Datadog, AWS CloudWatch).

• Solid understanding of microservices architecture, service discovery, and load balancing.

• Excellent programming skills in Python, with experience in writing modular, testable, and maintainable code.

• Proficient in Docker and container-based application deployments.

• Experience with CI/CD tools such as Jenkins or GitLab Cl.

• Basic working knowledge of Kubernetes for container orchestration.

• Practical experience with cloud-based ML platforms such as AWS SageMaker, Databricks, or Google Vertex Al.

Good-to-Have Skills:

• Awareness of security practices specific to ML pipelines, including secure model endpoints and data protection.

• Experience with scripting languages like Bash or PowerShell for automation tasks.

• Exposure to database scripting and data integration pipelines.

Experience & Qualifications:

• 3-5+ years of experience in MLOps, Site Reliability Engineering (SRE), or

Software Engineering roles.

• At least 2+ years of hands-on experience working on ML/Al systems in production settings.

Role descriptions / Expectations from the Role

·        6-7 years of IT development experience with min 3+ years hands-on experience in Snowflake

·        Strong experience in building/designing the data warehouse or data lake, and data mart end-to-end implementation experience focusing on large enterprise scale and Snowflake implementations on any of the hyper scalers.

·        Strong experience with building productionized data ingestion and data pipelines in Snowflake

·        Good knowledge of Snowflake's architecture, features likie  Zero-Copy Cloning, Time Travel, and performance tuning capabilities

·        Should have good exp on Snowflake RBAC and data security.

·        Strong experience in Snowflake features including new snowflake features.

·        Should have good experience in Python/Pyspark.

·        Should have experience in AWS services (S3, Glue, Lambda, Secrete Manager, DMS) and few Azure services (Blob storage, ADLS, ADF)

·        Should have experience/knowledge in orchestration and scheduling tools experience like Airflow

·        Should have good understanding on ETL or ELT processes and ETL tools.

5+ years of IT development experience with min 3+ years hands-on experience in Snowflake · Strong experience in building/designing the data warehouse or data lake, and data mart end-to-end implementation experience focusing on large enterprise scale and Snowflake implementations on any of the hyper scalers. · Strong experience with building productionized data ingestion and data pipelines in Snowflake · Good knowledge of Snowflake's architecture, features likie Zero-Copy Cloning, Time Travel, and performance tuning capabilities · Should have good exp on Snowflake RBAC and data security. · Strong experience in Snowflake features including new snowflake features. · Should have good experience in Python/Pyspark. · Should have experience in AWS services (S3, Glue, Lambda, Secrete Manager, DMS) and few Azure services (Blob storage, ADLS, ADF) · Should have experience/knowledge in orchestration and scheduling tools experience like Airflow · Should have good understanding on ETL or ELT processes and ETL tools.

POSITION / TITLE: Data Science Lead

Location: Offshore – Hyderabad/Bangalore/Pune

Who are we looking for?

Individuals with 8+ years of experience implementing and managing data science projects. Excellent working knowledge of traditional machine learning and LLM techniques. 

‎ The candidate must demonstrate the ability to navigate and advise on complex ML ecosystems from a model building and evaluation perspective. Experience in NLP and chatbots domains is preferred.

We acknowledge the job market is blurring the line between data roles: while software skills are necessary, the emphasis of this position is on data science skills, not on data-, ML- nor software-engineering.

Responsibilities:

· Lead data science and machine learning projects, contributing to model development, optimization and evaluation. 

· Perform data cleaning, feature engineering, and exploratory data analysis.  

· Translate business requirements into technical solutions, document and communicate project progress, manage non-technical stakeholders.

· Collaborate with other DS and engineers to deliver projects.

Technical Skills – Must have:

· Experience in and understanding of the natural language processing (NLP) and large language model (LLM) landscape.

· Proficiency with Python for data analysis, supervised & unsupervised learning ML tasks.

· Ability to translate complex machine learning problem statements into specific deliverables and requirements.

· Should have worked with major cloud platforms such as AWS, Azure or GCP.

· Working knowledge of SQL and no-SQL databases.

· Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles.

· Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization.

· Strong understanding of evaluation and monitoring metrics for machine learning projects.

Technical Skills – Good to have:

· Track record of getting ML models into production

· Experience building chatbots.

· Experience with closed and open source LLMs.

· Experience with frameworks and technologies like scikit-learn, BERT, langchain, autogen…

· Certifications or courses in data science.

Education:

· Master’s/Bachelors/PhD Degree in Computer Science, Engineering, Data Science, or a related field. 

Process Skills:

· Understanding of  Agile and Scrum  methodologies.  

· Ability to follow SDLC processes and contribute to technical documentation.  

Behavioral Skills :

· Self-motivated and capable of working independently with minimal management supervision.

· Well-developed design, analytical & problem-solving skills

· Excellent communication and interpersonal skills.  

· Excellent team player, able to work with virtual teams in several time zones.

• Strong AI/ML OR Software Developer Profile
• Mandatory (Experience 1) - Must have 3+ YOE in Core Software Developement (SDLC)
• Mandatory (Experience 2) - Must have 2+ years of experience in AI/ML, preferably in conversational AI domain (spped to text, text to speech, speech emotional recognition) or agentic AI systems.
• Mandatory (Experience 3) - Must have hands-on experience in fine-tuning LLMs/SLM, model optimization (quantization, distillation) and RAG
• Mandatory (Experience 4) - Hands-on Programming experience in Python, TensorFlow, PyTorch and model APIs (Hugging Face, LangChain, OpenAI, etc

Role Overview:

We are looking for a skilled Golang Developer with 3.5+ years of experience in building scalable backend services and deploying cloud-native applications using AWS. This is a key position that requires a deep understanding of Golang and cloud infrastructure to help us build robust solutions for global clients.

Key Responsibilities:

• Design and develop backend services, APIs, and microservices using Golang.
• Build and deploy cloud-native applications on AWS using services like Lambda, EC2, S3, RDS, and more.
• Optimize application performance, scalability, and reliability.
• Collaborate closely with frontend, DevOps, and product teams.
• Write clean, maintainable code and participate in code reviews.
• Implement best practices in security, performance, and cloud architecture.
• Contribute to CI/CD pipelines and automated deployment processes.
• Debug and resolve technical issues across the stack.

Required Skills & Qualifications:

• 3.5+ years of hands-on experience with Golang development.
• Strong experience with AWS services such as EC2, Lambda, S3, RDS, DynamoDB, CloudWatch, etc.
• Proficient in developing and consuming RESTful APIs.
• Familiar with Docker, Kubernetes or AWS ECS for container orchestration.
• Experience with Infrastructure as Code (Terraform, CloudFormation) is a plus.
• Good understanding of microservices architecture and distributed systems.
• Experience with monitoring tools like Prometheus, Grafana, or ELK Stack.
• Familiarity with Git, CI/CD pipelines, and agile workflows.
• Strong problem-solving, debugging, and communication skills.

Nice to Have:

• Experience with serverless applications and architecture (AWS Lambda, API Gateway, etc.)
• Exposure to NoSQL databases like DynamoDB or MongoDB.
• Contributions to open-source Golang projects or an active GitHub portfolio.

Skill Sets:

• Expertise in ML/DL, model lifecycle management, and MLOps (MLflow, Kubeflow)
• Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and Hugging Face models
• Strong experience in NLP, fine-tuning transformer models, and dataset preparation
• Hands-on with cloud platforms (AWS, GCP, Azure) and scalable ML deployment (Sagemaker, Vertex AI)
• Experience in containerization (Docker, Kubernetes) and CI/CD pipelines
• Knowledge of distributed computing (Spark, Ray), vector databases (FAISS, Milvus), and model optimization (quantization, pruning)
• Familiarity with model evaluation, hyperparameter tuning, and model monitoring for drift detection

Roles and Responsibilities:

• Design and implement end-to-end ML pipelines from data ingestion to production
• Develop, fine-tune, and optimize ML models, ensuring high performance and scalability
• Compare and evaluate models using key metrics (F1-score, AUC-ROC, BLEU etc)
• Automate model retraining, monitoring, and drift detection
• Collaborate with engineering teams for seamless ML integration
• Mentor junior team members and enforce best practices

Job Title : IBM Sterling Integrator Developer

Experience : 3 to 5 Years

Locations : Hyderabad, Bangalore, Mumbai, Gurgaon, Chennai, Pune

Employment Type : Full-Time

Job Description :

We are looking for a skilled IBM Sterling Integrator Developer with 3–5 years of experience to join our team across multiple locations.

The ideal candidate should have strong expertise in IBM Sterling and integration, along with scripting and database proficiency.

Key Responsibilities :

• Develop, configure, and maintain IBM Sterling Integrator solutions.
• Design and implement integration solutions using IBM Sterling.
• Collaborate with cross-functional teams to gather requirements and provide solutions.
• Work with custom languages and scripting to enhance and automate integration processes.
• Ensure optimal performance and security of integration systems.

Must-Have Skills :

• Hands-on experience with IBM Sterling Integrator and associated integration tools.
• Proficiency in at least one custom scripting language.
• Strong command over Shell scripting, Python, and SQL (mandatory).
• Good understanding of EDI standards and protocols is a plus.

Interview Process :

• 2 Rounds of Technical Interviews.

Additional Information :

• Open to candidates from Hyderabad, Bangalore, Mumbai, Gurgaon, Chennai, and Pune.

Minimum requirements

5+ years of industry software engineering experience (does not include internships nor includes co-ops)

Strong coding skills in any programming language (we understand new languages can be learned on the job so our interview process is language agnostic)

Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success

Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial

Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users

Preferred Qualifications

Experience with large-scale financial tracking systems

Good understanding and practical knowledge in cloud based services (e.g. gRPC, GraphQL, Docker/Kubernetes, cloud services such as AWS, etc.)

Job Title: Python Full Stack Developer

Location: Pune (Work from Office)

Experience: Minimum 5 Years

Job Summary:

We are looking for a highly skilled Python Full Stack Developer with a minimum of 5 years of hands-on experience. The ideal candidate will be proficient in building scalable web applications and APIs using Python technologies, and comfortable working with front-end frameworks like Angular or React. Experience with DevOps tools and practices is a plus.

Key Responsibilities:

• Design, develop, and maintain scalable full-stack applications using Python.
• Develop RESTful APIs using Flask.
• Build responsive front-end interfaces using Angular or React.
• Integrate front-end components with server-side logic.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Ensure the performance, quality, and responsiveness of applications.
• Implement DevOps practices for CI/CD and deployment automation.
• Participate in code reviews, testing, and bug fixing.

Required Skills:

• Python (5+ years)
• Flask or similar frameworks
• REST APIs development
• Angular or React (Front-end development)
• DevOps tools and practices (CI/CD, Docker, etc.)
• Strong understanding of software development best practices and design patterns

Eligibility Criteria:

• Minimum 5 years of overall experience in software development
• At least 5 years of strong hands-on experience in Python full stack development

Work Mode:

• Work from Office – Pune location

AccioJob is conducting an offline hiring drive in partnership with Our Partner Company to hire Junior Business/Data Analysts for an internship with a Pre-Placement Offer (PPO) opportunity.

Apply, Register and select your Slot here: https://go.acciojob.com/69d3Wd

Job Description:

• Role: Junior Business/Data Analyst (Internship + PPO)
• Work Location: Hyderabad
• Internship Stipend: 15,000 - 25,000/month
• Internship Duration: 3 months
• CTC on PPO: 5 LPA - 6 LPA

Eligibility Criteria:

• Degree: Open to all academic backgrounds
• Graduation Year: 2023, 2024, 2025

Required Skills:

• Proficiency in SQL, Excel, Power BI, and basic Python
• Strong analytical mindset and interest in solving business problems with data

Hiring Process:

1. Offline Assessment at AccioJob Skill Centres (Hyderabad, Pune, Noida)
2. 1 Assignment + 2 Technical Interviews (Virtual; In-person for Hyderabad candidates)

Note: Please bring your laptop and earphones for the test.

Register Here: https://go.acciojob.com/69d3Wd

AccioJob is organizing an exclusive offline hiring drive in collaboration with GameBerry Labs for the role of Software Development Engineer 1 (SDE 1).

To Apply, Register and select your Slot here: https://go.acciojob.com/Zq2UnA

Job Description:

• Role: SDE 1
• Work Location: Bangalore
• CTC: 10 LPA - 15 LPA

Eligibility Criteria:

• Education: B.Tech, BE, BCA, MCA, M.Tech
• Branches: Circuit Branches (CSE, ECE, IT, etc.)
• Graduation Year:
• 2024 (Minimum 9 months of experience)
• 2025 (Minimum 3-6 months of experience)

Evaluation Process:

1. Offline Assessment at AccioJob Skill Centres (Hyderabad, Bangalore, Pune, Noida)
2. Technical Interviews (2 Rounds - Virtual for most; In-person for Bangalore candidates)

Note: Carry your laptop and earphones for the assessment.

Register Here: https://go.acciojob.com/Zq2UnA

Job Summary:

As an AWS Data Engineer, you will be responsible for designing, developing, and maintaining scalable, high-performance data pipelines using AWS services. With 6+ years of experience, you’ll collaborate closely with data architects, analysts, and business stakeholders to build reliable, secure, and cost-efficient data infrastructure across the organization.

Key Responsibilities:

• Design, develop, and manage scalable data pipelines using AWS Glue, Lambda, and other serverless technologies
• Implement ETL workflows and transformation logic using PySpark and Python on AWS Glue
• Leverage AWS Redshift for warehousing, performance tuning, and large-scale data queries
• Work with AWS DMS and RDS for database integration and migration
• Optimize data flows and system performance for speed and cost-effectiveness
• Deploy and manage infrastructure using AWS CloudFormation templates
• Collaborate with cross-functional teams to gather requirements and build robust data solutions
• Ensure data integrity, quality, and security across all systems and processes

Required Skills & Experience:

• 6+ years of experience in Data Engineering with strong AWS expertise
• Proficient in Python and PySpark for data processing and ETL development
• Hands-on experience with AWS Glue, Lambda, DMS, RDS, and Redshift
• Strong SQL skills for building complex queries and performing data analysis
• Familiarity with AWS CloudFormation and infrastructure as code principles
• Good understanding of serverless architecture and cost-optimized design
• Ability to write clean, modular, and maintainable code
• Strong analytical thinking and problem-solving skills

Key Technical Skillsets-

• Design, develop, and maintain scalable applications using AWS services, Python, and Boto3.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Implement best practices for cloud architecture and application development.
• Optimize applications for maximum speed and scalability.
• Troubleshoot and resolve issues in development, test, and production environments.
• Write clean, maintainable, and efficient code.
• Participate in code reviews and contribute to team knowledge sharing.

Job Overview:

We are looking for a skilled professional with:

• 7+ years of overall experience, including minimum 5 years in Computer Vision, Machine Learning, Deep Learning, and algorithm development.
•  
• Proficiency in Data Science and Data Analysis techniques.
•  
• Hands-on programming experience with Python, R, MATLAB or Octave.
•  
• Experience with AI frameworks like TensorFlow, PySpark, Theano, and libraries such as PyTorch, Pandas, NumPy, etc.
•  
• Strong understanding of algorithms like Regression, SVM, Decision Trees, KNN, and Neural Networks.
•  

Key Skills & Attributes: 

• Fast learner with strong problem-solving abilities
•  
• Innovative thinking and approach
•  
• Excellent communication skills
•  
• High standards of integrity, accountability, and transparency
•  
• Exposure to or experience with international work environments

Notice Period : Immediate to 30Days

Python Automation Engineer -

JD : 

• Engage with development teams to improve the quality of the application.
• Provide in-depth technical mentoring across the test automation team.
• Provide highly innovative solutions to automatically qualify the application.
• Routinely exercise independent judgment in test automation methods, techniques and criteria for achieving objectives.

Experience/Exposure:

• Mid-level programming skills in Python
• Experience with UI driven test automation framework such as selenium, Playwright
• Experience with CI/CD tool
• Ability to troubleshoot complex software / hardware configuration problems
• Strong analytical & problem solving, documentation, and communication skills
• Passion for product quality and eagerness to learn new technologies.
• Ability to function effectively in a fast-paced environment and manage continuously changing business needs. Excellent time management skills require

• Design and implement cloud solutions, build MLOps on Azure
• Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools
• Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality
• Data science models testing, validation and tests automation
• Deployment of code and pipelines across environments
• Model performance metrics
• Service performance metrics
• Communicate with a team of data scientists, data engineers and architect, document the processes

Job Title : Data Engineer – Snowflake Expert

Location : Pune (Onsite)

Experience : 10+ Years

Employment Type : Contractual

Mandatory Skills : Snowflake, Advanced SQL, ETL/ELT (Snowpipe, Tasks, Streams), Data Modeling, Performance Tuning, Python, Cloud (preferably Azure), Security & Data Governance.

Job Summary :

We are seeking a seasoned Data Engineer with deep expertise in Snowflake to design, build, and maintain scalable data solutions.

The ideal candidate will have a strong background in data modeling, ETL/ELT, SQL optimization, and cloud data warehousing principles, with a passion for leveraging Snowflake to drive business insights.

Responsibilities :

• Collaborate with data teams to optimize and enhance data pipelines and models on Snowflake.
• Design and implement scalable ELT pipelines with performance and cost-efficiency in mind.
• Ensure high data quality, security, and adherence to governance frameworks.
• Conduct code reviews and align development with best practices.

Qualifications :

• Bachelor’s in Computer Science, Data Science, IT, or related field.
• Snowflake certifications (Pro/Architect) preferred.

Required Skills:

• Hands-on experience with Databricks, PySpark
• Proficiency in SQL, Python, and Spark.
• Understanding of data warehousing concepts and data modeling.
• Experience with CI/CD pipelines and version control (e.g., Git).
• Fundamental knowledge of any cloud services, preferably Azure or GCP.

Good to Have:

• Bigquery
• Experience with performance tuning and data governance.

Required Qualifications:

• 5+ years of professional software development experience.
• Post-secondary degree in computer science, software engineering or related discipline, or equivalent working experience.
• Development of distributed applications with Microsoft technologies: C# .NET/Core, SQL Server, Entity Framework.
• Deep expertise with microservices architectures and design patterns.
• Cloud Native AWS experience with services such as Lambda, SQS, RDS/Aurora, S3, Lex, and Polly.
• Mastery of both Windows and Linux environments and their use in the development and management of complex distributed systems architectures.
• Git source code repository and continuous integration tools.

AccioJob is conducting a Walk-In Hiring Drive with a reputed global IT consulting company at AccioJob Skill Centres for the position of Infrastructure Engineer, specifically for female candidates.

To Apply, Register and select your Slot here: https://go.acciojob.com/kcYTAp

We will not consider your application if you do not register and select slot via the above link.

Required Skills: Linux, Networking, One scripting language among Python, Bash, and PowerShell, OOPs, Cloud Platforms (AWS, Azure)

Eligibility:

• Degree: B.Tech/BE
• Branch: CSE Core With Cloud Certification
• Graduation Year: 2024 & 2025

Note: Only Female Candidates can apply for this job opportunity

Work Details:

• Work Mode: Work From Office
• Work Location: Bangalore & Coimbatore
• CTC: 11.1 LPA

Evaluation Process:

• Round 1: Offline Assessment at AccioJob Skill Centre in Noida, Pune, Hyderabad.

• Further Rounds (for Shortlisted Candidates only)

1. HackerRank Online Assessment
2. Coding Pairing Interview
3. Technical Interview
4. Cultural Alignment Interview

Important Note: Please bring your laptop and earphones for the test.

Register here: https://go.acciojob.com/kcYTAp

AccioJob is conducting a Walk-In Hiring Drive with a reputed global IT consulting company at AccioJob Skill Centres for the position of Data Engineer, specifically for female candidates.

To Apply, Register and select your Slot here: https://go.acciojob.com/8p9ZXN

We will not consider your application if you do not register and select slot via the above link.

Required Skills: Python, Database(MYSQL), Big Data(Spark, Kafka)

Eligibility:

• Degree: B.Tech/BE
• Branch: CSE – AI & DS / AI & ML
• Graduation Year: 2024 & 2025

Note: Only Female Candidates can apply for this job opportunity

Work Details:

• Work Mode: Work From Office
• Work Location: Bangalore & Coimbatore
• CTC: 11.1 LPA

Evaluation Process:

• Round 1: Offline Assessment at AccioJob Skill Centre in Noida, Pune, Hyderabad.

• Further Rounds (for Shortlisted Candidates only)

1. HackerRank Online Assessment
2. Coding Pairing Interview
3. Technical Interview
4. Cultural Alignment Interview

Important Note: Please bring your laptop and earphones for the test.

Register here: https://go.acciojob.com/8p9ZXN

Test Automation Engineer Job Description

A Test Automation Engineer is responsible for designing, developing, and implementing automated testing solutions to ensure the quality and reliability of software applications. Here's a breakdown of the job:

Key Responsibilities

- Test Automation Framework: Design and develop test automation frameworks using tools like Selenium, Appium, or Cucumber.

- Automated Test Scripts: Create and maintain automated test scripts to validate software functionality, performance, and security.

- Test Data Management: Develop and manage test data, including data generation, masking, and provisioning.

- Test Environment: Set up and maintain test environments, including configuration and troubleshooting.

- Collaboration: Work with cross-functional teams, including development, QA, and DevOps to ensure seamless integration of automated testing.

Essential Skills

- Programming Languages: Proficiency in programming languages like Java, Python, or C#.

- Test Automation Tools: Experience with test automation tools like Selenium,.

- Testing Frameworks: Knowledge of testing frameworks like TestNG, JUnit, or PyUnit.

- Agile Methodologies: Familiarity with Agile development methodologies and CI/CD pipelines.

Position: AWS Data Engineer

Experience: 5 to 7 Years

Location: Bengaluru, Pune, Chennai, Mumbai, Gurugram

Work Mode: Hybrid (3 days work from office per week)

Employment Type: Full-time

About the Role:

We are seeking a highly skilled and motivated AWS Data Engineer with 5–7 years of experience in building and optimizing data pipelines, architectures, and data sets. The ideal candidate will have strong experience with AWS services including Glue, Athena, Redshift, Lambda, DMS, RDS, and CloudFormation. You will be responsible for managing the full data lifecycle from ingestion to transformation and storage, ensuring efficiency and performance.

Key Responsibilities:

• Design, develop, and optimize scalable ETL pipelines using AWS Glue, Python/PySpark, and SQL.
• Work extensively with AWS services such as Glue, Athena, Lambda, DMS, RDS, Redshift, CloudFormation, and other serverless technologies.
• Implement and manage data lake and warehouse solutions using AWS Redshift and S3.
• Optimize data models and storage for cost-efficiency and performance.
• Write advanced SQL queries to support complex data analysis and reporting requirements.
• Collaborate with stakeholders to understand data requirements and translate them into scalable solutions.
• Ensure high data quality and integrity across platforms and processes.
• Implement CI/CD pipelines and best practices for infrastructure as code using CloudFormation or similar tools.

Required Skills & Experience:

• Strong hands-on experience with Python or PySpark for data processing.
• Deep knowledge of AWS Glue, Athena, Lambda, Redshift, RDS, DMS, and CloudFormation.
• Proficiency in writing complex SQL queries and optimizing them for performance.
• Familiarity with serverless architectures and AWS best practices.
• Experience in designing and maintaining robust data architectures and data lakes.
• Ability to troubleshoot and resolve data pipeline issues efficiently.
• Strong communication and stakeholder management skills.

What You’ll Do:

As a Data Scientist, you will work closely across DeepIntent Analytics teams located in New York City, India, and Bosnia. The role will support internal and external business partners in defining patient and provider audiences, and generating analyses and insights related to measurement of campaign outcomes, Rx, patient journey, and supporting evolution of DeepIntent product suite. Activities in this position include creating and scoring audiences, reading campaign results, analyzing medical claims, clinical, demographic and clickstream data, performing analysis and creating actionable insights, summarizing, and presenting results and recommended actions to internal stakeholders and external clients, as needed.

• Explore ways to to create better audiences 
• Analyze medical claims, clinical, demographic and clickstream data to produce and present actionable insights 
• Explore ways of using inference, statistical, machine learning techniques to improve the performance of existing algorithms and decision heuristics
• Design and deploy new iterations of production-level code
• Contribute posts to our upcoming technical blog  

Who You Are:

• Bachelor’s degree in a STEM field, such as Statistics, Mathematics, Engineering, Biostatistics, Econometrics, Economics, Finance, OR, or Data Science. Graduate degree is strongly preferred 
• 3+ years of working experience as Data Analyst, Data Engineer, Data Scientist in digital marketing, consumer advertisement, telecom, or other areas requiring customer level predictive analytics
• Background in either data engineering or analytics
• Hands on technical experience is required, proficiency in performing statistical analysis in Python, including relevant libraries, required
• You have an advanced understanding of the ad-tech ecosystem, digital marketing and advertising data and campaigns or familiarity with the US healthcare patient and provider systems (e.g. medical claims, medications)
• Experience in programmatic, DSP related, marketing predictive analytics, audience segmentation or audience behaviour analysis or medical / healthcare experience
• You have varied and hands-on predictive machine learning experience (deep learning, boosting algorithms, inference) 
• Familiarity with data science tools such as, Xgboost, pytorch, Jupyter and strong LLM user experience (developer/API experience is a plus)
• You are interested in translating complex quantitative results into meaningful findings and interpretable deliverables, and communicating with less technical audiences orally and in writing

About Data Axle:

Data Axle Inc. has been an industry leader in data, marketing solutions, sales and research for over 50 years in the USA. Data Axle now as an established strategic global centre of excellence in Pune. This centre delivers mission critical data services to its global customers powered by its proprietary cloud-based technology platform and by leveraging proprietary business & consumer databases.

Data Axle Pune is pleased to have achieved certification as a Great Place to Work!

Roles & Responsibilities:

We are looking for a Senior Data Scientist to join the Data Science Client Services team to continue our success of identifying high quality target audiences that generate profitable marketing return for our clients. We are looking for experienced data science, machine learning and MLOps practitioners to design, build and deploy impactful predictive marketing solutions that serve a wide range of verticals and clients. The right candidate will enjoy contributing to and learning from a highly talented team and working on a variety of projects.

We are looking for a Senior Data Scientist who will be responsible for:

1. Ownership of design, implementation, and deployment of machine learning algorithms in a modern Python-based cloud architecture
2. Design or enhance ML workflows for data ingestion, model design, model inference and scoring
3. Oversight on team project execution and delivery
4. Establish peer review guidelines for high quality coding to help develop junior team members’ skill set growth, cross-training, and team efficiencies
5. Visualize and publish model performance results and insights to internal and external audiences

Qualifications:

1. Masters in a relevant quantitative, applied field (Statistics, Econometrics, Computer Science, Mathematics, Engineering)
2. Minimum of 5 years of work experience in the end-to-end lifecycle of ML model development and deployment into production within a cloud infrastructure (Databricks is highly preferred)
3. Proven ability to manage the output of a small team in a fast-paced environment and to lead by example in the fulfilment of client requests
4. Exhibit deep knowledge of core mathematical principles relating to data science and machine learning (ML Theory + Best Practices, Feature Engineering and Selection, Supervised and Unsupervised ML, A/B Testing, etc.)
5. Proficiency in Python and SQL required; PySpark/Spark experience a plus
6. Ability to conduct a productive peer review and proper code structure in Github
7. Proven experience developing, testing, and deploying various ML algorithms (neural networks, XGBoost, Bayes, and the like)
8. Working knowledge of modern CI/CD methods This position description is intended to describe the duties most frequently performed by an individual in this position.

It is not intended to be a complete list of assigned duties but to describe a position level.

We are seeking a talented Engineer to join our AI team. You will technically lead experienced software and machine learning engineers to develop, test, and deploy AI-based solutions, with a primary focus on large language models and other machine learning applications. This is an excellent opportunity to apply your software engineering skills in a dynamic, real-world environment and gain hands-on experience in cutting-edge AI technology.

Key Roles & Responsibilities: 

• Design and Develop AI-Powered Solutions: Architect and implement scalable AI/ML systems, focusing on Large Language Models (LLMs) and other deep learning applications.
• End-to-End Model Development: Lead the entire lifecycle of AI models—from data collection and preprocessing to training, fine-tuning, evaluation, and deployment.
• Fine-Tuning & Customization: Leverage techniques like LoRA (Low-Rank Adaptation) and Q-LoRA to efficiently fine-tune large models for specific business applications.
• Reasoning Model Implementation: Work with advanced reasoning models such as DeepSeek-R1, exploring their applications in enterprise AI workflows.
• Data Engineering & Dataset Creation: Design and curate high-quality datasets optimized for fine-tuning AI models, ensuring robust training and validation processes.
• Performance Optimization & Efficiency: Optimize model inference, computational efficiency, and resource utilization for large-scale AI applications.
• MLOps & CI/CD Pipelines: Implement best practices for MLOps, ensuring automated training, deployment, monitoring, and continuous improvement of AI models.
• Cloud & Edge AI Deployment: Deploy and manage AI solutions in cloud environments (AWS, Azure, GCP) and explore edge AI deployment where applicable.
• API Development & Microservices: Develop RESTful APIs and microservices to integrate AI models seamlessly into enterprise applications.
• Security, Compliance & Ethical AI: Ensure AI solutions comply with industry standards, data privacy laws (e.g., GDPR, HIPAA), and ethical AI guidelines.
• Collaboration & Stakeholder Engagement: Work closely with product managers, data engineers, and business teams to translate business needs into AI-driven solutions.
• Mentorship & Technical Leadership: Guide and mentor junior engineers, fostering best practices in AI/ML development, model fine-tuning, and software engineering.
• Research & Innovation: Stay updated with emerging AI trends, conduct experiments with cutting-edge architectures and fine-tuning techniques, and drive innovation within the team.

Basic Qualifications: 

• A master's degree or PhD in Computer Science, Data Science, Engineering, or a related field 
• Experience: 5-8 Years 
• Strong programming skills in Python and Java 
• Good understanding of machine learning fundamentals 
• Hands-on experience with Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn) 
• Familiar with frontend development and frameworks like React 
• Basic knowledge of LLMs and transformer-based architectures is a plus.

Preferred Qualifications 

• Excellent problem-solving skills and an eagerness to learn in a fast-paced environment 
• Strong attention to detail and ability to communicate technical concepts clearly

We are seeking a talented Engineer to join our AI team. You will technically lead experienced software and machine learning engineers to develop, test, and deploy AI-based solutions, with a primary focus on large language models and other machine learning applications. This is an excellent opportunity to apply your software engineering skills in a dynamic, real-world environment and gain hands-on experience in cutting-edge AI technology.

Key Roles & Responsibilities: 

• Design and implement software solutions that power machine learning models, particularly in LLMs 
• Create robust data pipelines, handling data preprocessing, transformation, and integration for machine learning projects 
• Collaborate with the engineering team to build and optimize machine learning models, particularly LLMs, that address client-specific challenges 
• Partner with cross-functional teams, including business stakeholders, data engineers, and solutions architects to gather requirements and evaluate technical feasibility 
• Design and implement a scale infrastructure for developing and deploying GenAI solutions 
• Support model deployment and API integration to ensure interaction with existing enterprise systems.

Basic Qualifications: 

• A master's degree or PhD in Computer Science, Data Science, Engineering, or a related field 
• Experience: 3-5 Years 
• Strong programming skills in Python and Java 
• Good understanding of machine learning fundamentals 
• Hands-on experience with Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn) 
• Familiar with frontend development and frameworks like React 
• Basic knowledge of LLMs and transformer-based architectures is a plus.

Preferred Qualifications 

• Excellent problem-solving skills and an eagerness to learn in a fast-paced environment 
• Strong attention to detail and ability to communicate technical concepts clearly 

Position: AWS Data Engineer

Experience: 5 to 7 Years

Location: Bengaluru, Pune, Chennai, Mumbai, Gurugram

Work Mode: Hybrid (3 days work from office per week)

Employment Type: Full-time

About the Role:

We are seeking a highly skilled and motivated AWS Data Engineer with 5–7 years of experience in building and optimizing data pipelines, architectures, and data sets. The ideal candidate will have strong experience with AWS services including Glue, Athena, Redshift, Lambda, DMS, RDS, and CloudFormation. You will be responsible for managing the full data lifecycle from ingestion to transformation and storage, ensuring efficiency and performance.

Key Responsibilities:

• Design, develop, and optimize scalable ETL pipelines using AWS Glue, Python/PySpark, and SQL.
• Work extensively with AWS services such as Glue, Athena, Lambda, DMS, RDS, Redshift, CloudFormation, and other serverless technologies.
• Implement and manage data lake and warehouse solutions using AWS Redshift and S3.
• Optimize data models and storage for cost-efficiency and performance.
• Write advanced SQL queries to support complex data analysis and reporting requirements.
• Collaborate with stakeholders to understand data requirements and translate them into scalable solutions.
• Ensure high data quality and integrity across platforms and processes.
• Implement CI/CD pipelines and best practices for infrastructure as code using CloudFormation or similar tools.

Required Skills & Experience:

• Strong hands-on experience with Python or PySpark for data processing.
• Deep knowledge of AWS Glue, Athena, Lambda, Redshift, RDS, DMS, and CloudFormation.
• Proficiency in writing complex SQL queries and optimizing them for performance.
• Familiarity with serverless architectures and AWS best practices.
• Experience in designing and maintaining robust data architectures and data lakes.
• Ability to troubleshoot and resolve data pipeline issues efficiently.
• Strong communication and stakeholder management skills.

KEY DUTIES

• Independently own and resolve high-priority or complex customer issues with minimal supervision
• Reproduce and analyze product defects using advanced troubleshooting techniques and tools
• Collaborate with developers to identify root causes and drive timely resolution of defects
• Identify trends in escalations and provide feedback to improve product quality and customer experience
• Document investigation findings, root causes, and resolution steps clearly for both internal and external audiences
• Contribute to knowledge base articles and process improvements to enhance team efficiency
• Represent the escalation team in product reviews or defect triage meetings
• Build subject matter expertise in specific products or components
• Mentor and assist junior team members by reviewing their investigations and coaching through complex cases
• Participate in Agile ceremonies and contribute to team planning and backlog refinement
• Other duties as assigned

BASIC QUALIFICATIONS

• Typically requires 3–6 years of technical experience in a support, development, or escalation role
• Strong technical troubleshooting and root cause analysis skills
• Proficient in debugging tools, logs, and test environments
• Ability to independently manage multiple complex issues and drive them to closure
• Experience working with cross-functional teams in a collaborative, Agile environment
• Proficiency with relevant scripting or programming languages (e.g., Python, Bash, PowerShell, Java)
• Exceptional written and verbal communication skills — especially when engaging with customers in critical or escalated situations
• Demonstrated customer-first mindset with an emphasis on clarity, empathy, and follow- through
• Proactive and detail-oriented, with the ability to document and communicate technical concepts clearly
• Comfortable presenting findings or recommendations to both technical and non-technical stakeholders

Mandatory Skills

• Efficiently able to design and implement software features. 
• Expertise in at least one Object Oriented Programming language (Python, typescript, Java, Node.js, Angular, react.js C#, C++).
• Good knowledge on Data Structure and their correct usage.
• Open to learn any new software development skill if needed for the project.
• Alignment and utilisation of the core enterprise technology stacks and integration capabilities throughout the transition states.
• Participate in planning, definition, and high-level design of the solution and exploration of solution alternatives.
• Identify bottlenecks and bugs, and devise appropriate solutions.
• Define, explore, and support the implementation of enablers to evolve solution intent, working directly with Agile teams to implement them.
• Good knowledge on the implications of Cyber Security on the production. 
• Experience architecting & estimating deep technical custom solutions & integrations.