PML Programmer

Senior software engineer QA

AI Lead

Product Specialist

Testing QA

Data Engineer / Senior / Supervisor

Principal Software Engineer

ASC - Downstream Data Scientist

Machine Learning Scientist

Data Platform Engineer

Role Description:&nbsp; <ul><li>A PML Programmer will be responsible for the administration, configuration, and support of the AVEVA E3D software platform.&nbsp;</li><li>The ideal candidate will have strong expertise in PML, C#, and Python, with additional programming languages being advantageous if the candidate is proficient in them. In addition, experience in macro generation and customization of the user interface is preferred.</li></ul> Responsibilities:&nbsp; <ul><li>Development: Design, develop, and maintain applications using PML, C# coding, including Aveva E3D, Aveva Engineering, Aveva Instrumentation, Aveva P&amp;ID and other related software.</li><li>Customization: Customize Aveva applications to meet specific project requirements, including the development of macros, scripts, and plugins.</li><li>Integration: Integrate Aveva tools with other enterprise systems and software, ensuring seamless data flow and interoperability.</li><li>Support: Provide technical support and troubleshooting for Aveva applications, resolving issues promptly to minimize downtime.</li><li>Documentation: Create and maintain detailed technical documentation for developed solutions, including user manuals, technical specifications, and workflow diagrams.</li><li>Collaboration: Work closely with project managers, engineers, and other stakeholders to gather requirements, provide status updates, and ensure successful project delivery.</li><li>Training: Conduct training sessions for end-users and team members on Aveva tools and developed solutions.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Science/Engineering or a related field</li><li>Proven experience in developing and customizing applications using PML 1 &amp; 2, PMLNET, C#, .NET Framework. (Must Have)</li><li>Experience with Aveva E3D, Aveva Engineering, Aveva Instrumentation, Aveva P&amp;ID, TEKLA and other related software.</li><li>Experience with SQL databases and writing complex queries.</li><li>Experience with CAD software and 3D modeling.</li></ul> Other Requirements: <ul><li>Object Oriented design and development. (Must have)</li><li>Microsoft .NET Framework 4.5+, WPF, WCF. (Must have)</li><li>Expert in creation of Standalone application to do scheduled tasks combination of SQL, SAP data and Dabacon database. (Must have)</li><li>Knowledge of industry standards and best practices in engineering and design. (Must have)</li><li>Strong programming skills in languages such as C#, VB.NET, Python, or similar.</li><li>Windows Application Development using .NET WinForms.</li><li>Familiarity with cloud platforms and services such as AWS or Azure.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Strong understanding of software development life cycle (SDLC) and Agile methodologies.</li><li>Ability to work independently as well as collaboratively in a team environment.</li><li>Strong communication and interpersonal skills.</li></ul>

Job Summary: <ul><li>As a Senior Software Engineer-QA,candidate will be individual contributor in Manual/Automation QA team and also do hand on in writing, Execution the Manual and automation test cases using Test tools and Python Good knowledge of product security and relevant testing.&nbsp;</li><li>This position reports directly to the QA Manager and will work from our Pune office.</li></ul> Responsibilities: <ul><li>Understand the test requirements and getting the team aligned with the same.</li><li>Participating on all technical aspects, interacting with client for all technical inputs and queries.&nbsp;</li><li>Automation and integration of complex processes.</li><li>Work closely with the development team on becoming the SME of the product.</li><li>Strong Testing Fundamentals knowledge, testing tools, reporting and frameworks.</li><li>Build and maintain the automation regression suite for the white box testing of the products.</li><li>Participate in requirement grooming and think form end customer perspective.</li><li>Should own all aspects of Testing, QA Framework for existing Products and Product end-to-end testing across functional, Security and Automation.&nbsp;</li><li>Work in a dynamic Agile environment and come up with solutions to meet project needs.&nbsp;</li><li>Communicate with Client and end customers in written and verbal.&nbsp;</li><li>Should be able to interact with client and customers for Escalated Customer Issues/Bugs.&nbsp;</li><li>Strong written and oral communication skills.</li><li>High levels of motivation with a can-do attitude.</li></ul> Requirements:&nbsp; <ul><li>Manual/Automation Testing - DataCom (Networking , Security, L2-L3, L4-L7 Protocols)</li><li>Hands on experience on Networking products Switch Router and Firewall</li><li>Good testing experience in Datacom/IP-Networking/Switching/routing domain.</li><li>Knowledge of Testing tools : IXIA/SPIRENT</li><li>Security testing tool - Nessus, OpenVas, Achilles, Defensics (Any one)</li><li>preferably knowledge / hands on in traffic generation tools such as IXIA or Spirent,</li><li>Performance and scalability testing, security, Penetration testing. packet sniffing tools ,</li><li>Linux/containers Knowledge&nbsp;</li><li>Good understanding of testing concepts and hands-on experience in functional/sanity/regression testing.</li><li>CI/CD: Jenkins , Github, Bitbucket Actions</li><li>Scripting: Python and/or Shell is a must&nbsp;</li><li>Working experience in Routing protocols such as RIP, OSPF, BGP, MPLS,VRRP</li><li>Good understanding of Management interface such as SNMP, Web, Yang, Netconf, Rest based interfaces etc</li><li>Good understanding of testing concepts and hands-on experience in functional/sanity/regression testing.</li></ul>

Responsibilities: AI Solution Development:&nbsp; <ul><li>Ability to translate business problems to AI problem statement, Ability to evaluate the need of AI &amp; optimal use of AI. Design and develop Gen AI applications and AI algorithms to address complex challenges across various domains.</li></ul> Data Analysis and Interpretation:&nbsp; <ul><li>Analyze large datasets to derive actionable insights and make data-driven decisions.</li></ul> Model Training and Optimization:&nbsp; <ul><li>Finetune LLM Models with custom data, continuously improve model performance through rigorous training and optimization processes.</li></ul> Collaborative Problem-Solving:&nbsp; <ul><li>Work closely with cross-functional teams to solve pressing challenges and enhance product capabilities.</li></ul> Strategic AI Implementation:&nbsp; <ul><li>Architect and scale AI solutions across the organization, ensuring alignment with business objectives.</li></ul> Leadership and Team Development:&nbsp; <ul><li>Mentor and lead a team of AI professionals, fostering a culture of innovation and continuous learning.</li></ul> Requirements: Educational Background:&nbsp; <ul><li>Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a closely related field.</li></ul> Technical Proficiency:&nbsp; <ul><li>Strong experience in programming languages like Python, Java, or C++ and familiarity with AI frameworks such as TensorFlow or PyTorch.</li></ul> Experience:&nbsp; <ul><li>At least 8-10 years of relevant experience in developing and implementing AI solutions.</li></ul> Analytical Skills:&nbsp; <ul><li>Proficient in using advanced data analytics tools and techniques to interpret complex datasets.</li></ul> Problem-Solving Abilities:&nbsp; <ul><li>Excellent problem-solving skills to devise innovative solutions and optimize AI algorithms.</li><li>&nbsp;Advanced Degree: Masters degree in a relevant field.</li><li>Specialized Knowledge: Deep understanding in NLP techniques, supervised and unsupervised machine learning, statistical modeling, and predictive analytics.</li><li>Industry Experience: Prior experience in the airline industry, particularly in roles focused on customer experience or digital transformation.</li><li>Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.</li><li>LLM Application Integration: Previous work experience or personal experience in integrating LLMs into production applications or building LLM powered applications using LangChain or other frameworks.</li><li>Leadership Experience: Proven track record of successfully leading AI projects and teams, ability to work across teams – cross functional , knowledge of agile delivery</li><li>Continuous Learning: Commitment to staying updated with the latest advancements in AI and machine learning."</li></ul>

Responsibilities: <ul><li>Work with design and engineering teams to review product designs, suggest improvements, and oversee development</li><li>Engage with users to understand their needs and expectations, and help them determine which product is right for them</li><li>Monitor the product lifecycle</li><li>Represent the organization at symposia and congresses.</li><li>Develop business plans and product positioning in the marketplace</li></ul> Requirements: <ul><li>Advanced Degree: Masters degree in computer science, Artificial Intelligence, or a relevant field.</li><li>Educational Background: Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a related field.</li><li>Technical Skills: Proficiency in programming languages such as Python, Java, or C++, and familiarity with AI frameworks like TensorFlow or PyTorch.</li><li>Experience: Minimum 5-7 years of hands-on experience in developing and deploying AI products and solutions.</li><li>Analytical Abilities: Strong analytical skills with the ability to leverage advanced data analytics tools and techniques.</li><li>Problem-Solving Skills: Excellent problem-solving capabilities to devise innovative solutions and optimize AI algorithms for product enhancement.</li><li>Specialized Knowledge: Domain-specific knowledge relevant to the Airline or Travel Industries</li><li>Industry Experience: Previous experience in applying AI solutions within the specific industry, demonstrating a deep understanding of industry challenges and opportunities.</li><li>Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.</li><li>LLM Application Integration: Familiarity with integrating Large Language Models (LLMs) into product applications or building LLM-powered applications.</li><li>Leadership Experience: Proven ability to lead and influence teams in AI product development projects.</li><li>Continuous Learning: Commitment to staying updated with advancements in AI and machine learning technologies.</li></ul>

The Role: <ul><li>Responsible for testing applications to meet business process and application requirements. Your typical day will involve working on functional test planning and ensuring the quality of the application.</li></ul> Responsibilities: <ul><li>Develop and execute functional test plans for applications to ensure the quality of the application.</li><li>Collaborate with cross-functional teams to test applications to meet business process and application requirements.</li><li>Identify and troubleshoot application issues, working with the development team to resolve them.</li><li>Ensure the application meets the required standards.</li></ul> Requirements: <ul><li>Min 3 years of Experience in functional test planning.</li><li>Experience in software development and programming languages such as Java or Python</li><li>Strong understanding of software development life cycle (SDLC) and Agile methodologies.</li><li>Experience with Azure DevOps tool for managing tests and bugs.</li></ul>

Role Description:The Data Engineering Senior Supervisor will lead a small team of data engineering professionals to design, build and operate high performance data centric products or solutions through the use of modern engineering practices and technologies.In this role, you will provide guidance to ensure the delivered data centric products or solutions are scalable, sustainable and robust.You will also lead team development and cross team relationships and delivery to advance the company's engineering delivery.Responsibilities:Lead a local or regional team of engineering professionals that design, develop, deploy and enhance new and existing data centric products or solutions through the use of modern platforms and technologies.Provide routine inputs and guidance to the data engineering team on business requirements analysis, technical specification's preparation, product delivery, testing and operation to support businesses strategic direction.Coach engineers, share relevant technical approaches, identify new trends, modern skills and present new methodologies within the data engineering community.Lead and develop a team, coach and make decisions related to talent management, hiring, performance, and disciplinary actions.Other duties as assignedRequirements:Minimum QualificationsBachelor's degree in a related field or equivalent experience.Minimum of four years of related work experience.Minimum of two years leading a team of Data Engineers.Preferred QualificationsConfirmed data engineering experience with data storage and management of large, heterogenous datasets, including formats, structures, and cataloging with such tools as Iceberg, Parquet, Avro, ORC, S3, HFDS, HIVE, Kudu or others.Experience leading Big Data engineering teams working in environments such as Hadoop and SparkExperience leading technology strategies with cloud Platforms including AWS, GCP or AzureExperience leading engineering teams working in streaming and stream integration or middleware platforms, tools, and architectures such as Kafka, Flink, JMS, or Kinesis.Confirmed knowledge of best practice patterns and how to apply them to modern data architectures, including data warehouses, data lakes, data mesh, hubs and associated capabilities including ingestion, governance, modeling, observability and more.Experience leveraging transformation and modeling tools, including SQL based transformation frameworks, orchestration and quality frameworks including dbt, Apache Nifi, Talend, AWS Glue, Airflow, Dagster, Great Expectations, Oozie and others.Strong programming knowledge of SQL, Python, R, Java, Scala or equivalent.Proficiency in engineering tooling including docker, git, and container orchestration services.Strong experience leading devops teams with demonstratable understanding of associated best practices for code management, continuous integration, and deployment strategies.Experience and knowledge of data governance considerations including quality, privacy, security associated implications for data product development and consumption.A passion for quality and continuous improvement with an owners mindset.Ability to work effectively as part of a team, group and cultureAbility to navigate ambiguity and work in agile ways.

The Role:We’re looking for a Principal Software Engineer that will be responsible for leading the administration, maintenance, and enhancement of our company's cloud infrastructure within our global data centers. This role demands experience and proficiency with Python and Ruby on Rails. The Engineer will ensure the reliability, security, and efficiency of our systems and networks while driving automation through innovation. Responsibilities:Develop global standards, process improvements, and promote best practices.Manage large-scale projects by coordinating with internal teams and third-party resources.Provide regular project updates to stakeholders through meetings.Lead the development and maintenance of internal automation scripts using Python and Ruby on Rails.Create comprehensive documentation for projects and workflows.Troubleshoot and resolve hardware issues on various enterprise servers (Blades, Storage, white label).Facilitate cross-functional communication with other Technical Operations groups.Participate in conference calls and meetings with vendors, suppliers, and team members.Collaborate closely with Data Center Engineers worldwide.Manage enterprise servers distributed globally across data centers.Participate in on-call rotations and be available for emergency situations.Assist with server provisioning and deployment.Send regular reports on server monitoring and other activities.Requirements:Familiarity with DevOps practices and CI/CD pipelines.Proficiency in shell scripting, specifically Python and Ruby on Rails.Strong knowledge of Linux and Windows operating systems.Expertise in computer hardware and resolving hardware issues on enterprise-level servers.Experience with installing various operating systems (Linux and Windows).Knowledge of cloud systems technologies, such as AWS.Strong verbal and written communication skills.Ability to prioritize tasks in a complex, fast-paced environment.Understanding of BIOS, BMC, out-of-band/lights-out server communication methods (IPMI, serial console).Experience with firmware management for all hardware components.Minimum of 5 years of relevant industry experience.Desirable Skills:Knowledge of data center best practices (fault tolerance, cable routing, etc.).Experience with heterogeneous server/network hardware failures and Linux OS/Junos.Experience in data center hardware deployments and building scalable infrastructure.Ability to adapt and drive change in a dynamic environment.A+ certification is a plus.

Responsibilities:Formulate and lead multifaceted analytic studies against large volumes of data.Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method.Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.Lead all data experiments tasked by the Data Science Team.Coordinate with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.Develop methodology and processes for prioritization and scheduling of projects.Analyze problems and determine root causes.Define company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.Work closely with all business units and engineering teams to develop strategy for long term data platform architecture.Requirements:As the successful candidate you will hold a Bachelor degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. An advanced degree is preferred.You will have 5-7 years of professional experience in related fieldYou will have Proficiency with one or more programming languages (Java, C++, Python, R, etc.)You will be able to demonstrate experience applying data science methods to real-world data problemsYou will also have experience in utilizing visualization tools to take advantage of the growing volume of available information

Role Description:As an ML engineer, you will have the opportunity to work on large-scale ranking and recommendation systems for sequential content consumption on newly installed user interface designs The solutions developed by you will aid in building novel and meaningful graph-based community assets around the network of consumers and merchants, to ultimately drive key product and marketing KPIs associated with customer experience, engagement and the revenue bottom line.Responsibilities: As a Machine Learning Scientist you will be responsible for:Creating innovative AI/ML solutions that enhance personalization for users, with a focus on ranking and recommendation algorithms.Writing scalable, production-quality code to deploy models on company infrastructure, optimizing for performance and efficiency.Collaborating with cross-functional teams, including engineering, product, and marketing, to design, develop, and track key performance indicators (KPIs) for ranking and recommendation models.Conducting experiments to measure these KPIs, as well as deriving actionable insights from the data, to continually improve the technology and drive business outcomes.Requirements:Advanced degree (MS or PhD) in quantitative science or engineering field (for example: Computer Science, Statistics, Mathematics, Operation Research) with a minimum of 2 years of hands-on experience for MS as an individual contributor.Proven expertise in designing and developing AI/ML models for ranking and recommendation systems, with in-depth understanding of both traditional collaborative/content-based recommendation methods and cutting-edge deep learning algorithms, reinforcement learning, and bandit techniques.Demonstrated ability to write scalable high quality code in Python, Java, Scala or a similar programming language, and to design and implement data engineering pipelines using technologies like Hive, SQL, BigQuery, or Spark.Proficiency in machine learning frameworks and packages, such as Tensorflow and PyTorch. 

Responsibilities:Support daily business-as-usual (BAU) operations, audit and complianceCommunicate with vendor and BAU teams for data ingestion queries and issuesManage data ingestion and DAG maintenance in AirflowDevelop and modify Python scripts for data ingestionWrite optimised SQL queries in SnowflakeEnsure documentation of applicationsRequirements:Bachelor's degree in information technology/ computer science / software engineeringKnowledge and hands-on experience writing effective SQL queries and statementsUnderstanding of AWS servicesAt least 5 years of experience in a similar capacityAt least 3 years of proficiency in using Python to develop and modify scriptsAt least 3 years of proficiency in managing data ingestion and DAG maintenance in AirflowPreferred Requirements:Knowledge in Hadoop Ecosystem like Spark or PySparkKnowledge in AWS services like S3, Data Lake, Redshift, EMR, EC2, Lambda, Glue, Aurora, RDS, Airflow1-2 years of proficiency in using Snowflake, including query optimisation to control Snowflake’s warehouse costPrevious work experiences from investment banking/finance industry with demonstrated exposure to be ready to take on an individual contributor role

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22 python Jobs found

PML Programmer

Senior software engineer QA

AI Lead

Product Specialist

Testing QA

Data Engineer / Senior / Supervisor

Principal Software Engineer

ASC - Downstream Data Scientist

Machine Learning Scientist

Data Platform Engineer

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22 python Jobs found

PML Programmer

Senior software engineer QA

AI Lead

Product Specialist

Testing QA

Data Engineer / Senior / Supervisor

Principal Software Engineer

ASC - Downstream Data Scientist

Machine Learning Scientist

Data Platform Engineer

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