22889 Ml Jobs - Page 30

As a part of Maropost, you will be contributing to a unified commerce experience that transforms ecommerce, retail, marketing automation, merchandising, helpdesk, and AI operations for fast-growing businesses. With over 5,000 global brands already benefiting from our platform, we are on a journey to empower 100,000+ brands with the same relentless focus on customer success. At Maropost, we are driven by customer obsession, extreme urgency, excellence, and resourcefulness, and we are looking for individuals who are ready to make a significant impact and be part of our transformative journey. If you are a bold thinker who thrives on change and sees opportunities in every challenge, Maropost is the place for you to turn your ideas into action. Your responsibilities will include building and managing a REST API stack for Maropost Web Apps, working on architecture design aligned with our big data and analytics product vision, driving innovation within the engineering team, and ensuring technical leadership while following industry-standard best practices. You will also be involved in designing and developing complex web applications, integrating with ML and NLP engines, and handling DevOps, DBMS, and scaling on Azure or GCP. To be successful at Maropost, you should hold a B.E./B.Tech degree and have at least 3 years of experience in building and architecting backend applications, web apps, and analytics, preferably in the commerce cloud or marketing automation domain. Your experience should also include deploying applications at scale in production systems, managing API endpoints for multimodal clients, and a strong grasp of platform security capabilities. Additionally, you should have a knack for problem-solving, efficient coding practices, and possess very strong interpersonal communication and collaboration skills. If you are enthusiastic about learning, contributing to a challenging startup environment, and embodying Maropost's core values of being Customer Obsessed, having Extreme Urgency, striving for Excellence, and being Resourceful, we encourage you to join us in our mission to drive the business forward and achieve both short and long-term goals for mutual success. Join Maropost as a builder and be a part of the team that is shaping the future of commerce and customer success. Contact us today if you are ready to make a difference and drive results that will benefit us all.,

Job Description At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace. Position overview : The Boeing Company is hiring Associate Electrical Design and Analysis Engineer to join the Boeing India Engineering Team for Electrical Design Integration and will be based out of Bangalore. This position will report to Boeing India Engineering organization. A successful candidate will understand the importance of collaboration as these positions will focus on working directly with the Electrical Engineering Manager to implement new electrical analysis and design upgrades to meet their organizational goals. Position Responsibilities: The Boeing India Engineering and Technology Center (BIETC) is looking for highly motivated and experienced electrical/electronics engineer. The individual will work in various phases of product development on the Boeing platforms. The job responsibilities include: Executing projects independently with minimum supervision Collaborating & working with cross functional teams and all stakeholders Approach SME to get the required help, guidance and mentoring team during project execution Able to work independently with minimum supervision, positive attitude and highest ethics. Proactively seek information and direction to successfully complete the statement of work. Must be able to work collaboratively with cross-functional team. Must be willing to work flexible hours (early or late as needed) to interface with Boeing personnel around the world. Demonstrate strong written, oral and interpersonal communication skills. Be fluent in written and spoken English and have high degree of proficiency with MS Office tools. EMPLOYER WILL NOT SPONSOR APPLICANTS FOR EMPLOYMENT VISA STATUS Basic Qualifications (Required Skills/Experience): A Bachelor’s Degree or equivalent is required. 2 to 5 Years of major experience in aerospace electrical domain preferred. Must have experience in Electrical wiring design & development lifecycle. Experience in Electrical system architecture design, wiring design, harness design is required. Must have worked through the development cycle & should have good understanding on wiring & harness component selections. Must have experience in preparation of manufacturing BOM. Electrical Wiring and harness drafting standards. Experience on Electrical Load and Power Source Capacity Analysis (AC analysis, DC Analysis & Battery Analysis) for aircrafts. Good understanding upon Aerospace processes and its applications. Design for Manufacturing and Design for Testing. Having experience in 3-D harness design is an added advantage. Knowledge in implementing EMI/EMC methods for electrical wiring design. Experience in Integration and testing of wiring/harness on the aircraft is an added advantage. Should have strong knowledge on Electrical circuits Theory, Electrical Power systems, Electrical technology and Electronics Analog/Digital Circuits. Preferred to have thorough understanding of MIL 704D, MIL-W-5088L/SAE AS50881, MIL-E-7016, MIL-STD-464, MIL-STD-461, MIL-B-5087 & DO-160 standards. Understanding of configuration management, requirements traceability and related processes. Experience in Mentor Graphics Capital (logic and Harness XC), Catia is an added advantage. Demonstrate strong written, oral and interpersonal communication skills. Be fluent in written and spoken English and have high degree of proficiency with MS Office tools. Preferred Qualifications (Desired Skills/Experience): Bachelor's degree in Electrical/Electronics/Electronics & Communication/ Mechanical or higher Preferred: Master's degree in Electrical/ Electronics/Electronics & Communication/ Typical Education & Experience: Education/experience typically acquired through advanced education (e.g. Bachelor) and typically 2 to 5 years' related work experience or an equivalent combination of education and experience (e.g. Master+1 years' related work experience etc.) Relocation: This position does offer relocation based on candidate eligibility within INDIA. Applications for this position will be accepted until Jul. 22, 2025 Export Control Requirements: This is not an Export Control position. Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Equal Opportunity Employer: We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law. We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

Job Description We are seeking a high-impact AI/ML Engineer to lead the design, development, and deployment of machine learning and AI solutions across vision, audio, and language modalities. You'll be part of a fast-paced, outcome-oriented AI & Analytics team, working alongside data scientists, engineers, and product leaders to transform business use cases into real-time, scalable AI systems. Responsibilities This role demands strong technical leadership, a product mindset, and hands-on expertise in Computer Vision, Audio Intelligence, and Deep Responsibilities : Architect, develop, and deploy ML models for multimodal problems, including vision (image/video), audio (speech/sound), and NLP tasks. Own the complete ML lifecycle: data ingestion, model development, experimentation, evaluation, deployment, and monitoring. Leverage transfer learning, foundation models, or self-supervised approaches where suitable. Design and implement scalable training pipelines and inference APIs using frameworks like PyTorch or TensorFlow. Collaborate with MLOps, data engineering, and DevOps to productionize models using Docker, Kubernetes, or serverless infrastructure. Continuously monitor model performance and implement retraining workflows to ensure accuracy over time. Stay ahead of the curve on cutting-edge AI research (e.g., generative AI, video understanding, audio embeddings) and incorporate innovations into production systems. Write clean, well-documented, and reusable code to support agile experimentation and long-term platform : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 58 years of experience in AI/ML Engineering, with at least 3 years in applied deep learning. Technical Skills Languages : Expert in Python; good knowledge of R or Java is a plus. ML/DL Frameworks : Proficient with PyTorch, TensorFlow, Scikit-learn, ONNX. Computer Vision : Image classification, object detection, OCR, segmentation, tracking (YOLO, Detectron2, OpenCV, MediaPipe). Audio AI : Speech recognition (ASR), sound classification, audio embedding models (Wav2Vec2, Whisper, etc. Data Engineering : Strong with Pandas, NumPy, SQL, and preprocessing pipelines for structured and unstructured data. NLP/LLMs : Working knowledge of Transformers, BERT/LLAMA, Hugging Face ecosystem is preferred. Cloud & MLOps : Experience with AWS/GCP/Azure, MLFlow, SageMaker, Vertex AI, or Azure ML. Deployment & Infrastructure : Experience with Docker, Kubernetes, REST APIs, serverless ML inference. CI/CD & Version Control : Git, DVC, ML pipelines, Jenkins, Airflow, etc. Soft Skills & Competencies Strong analytical and systems thinking; able to break down business problems into ML components. Excellent communication skills able to explain models, results, and decisions to non-technical stakeholders. Proven ability to work cross-functionally with designers, engineers, product managers, and analysts. Demonstrated bias for action, rapid experimentation, and iterative delivery of impact. (ref:hirist.tech)

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Years of Experience: Candidates with 4+ years of hands on experience Position: Senior Associate Industry: Telecom / Network Analytics / Customer Analytics Required Skills: Successful candidates will have demonstrated the following skills and characteristics: Must Have Proven experience with telco data including call detail records (CDRs), customer churn models, and network analytics Deep understanding of predictive modeling for customer lifetime value and usage behavior Experience working with telco clients or telco data platforms (like Amdocs, Ericsson, Nokia, AT&T etc) Proficiency in machine learning techniques, including classification, regression, clustering, and time-series forecasting Strong command of statistical techniques (e.g., logistic regression, hypothesis testing, segmentation models) Strong programming in Python or R, and SQL with telco-focused data wrangling Exposure to big data technologies used in telco environments (e.g., Hadoop, Spark) Experience working in the telecom industry across domains such as customer churn prediction, ARPU modeling, pricing optimization, and network performance analytics Strong communication skills to interface with technical and business teams Nice To Have Exposure to cloud platforms (Azure ML, AWS SageMaker, GCP Vertex AI) Experience working with telecom OSS/BSS systems or customer segmentation tools Familiarity with network performance analytics, anomaly detection, or real-time data processing Strong client communication and presentation skills Roles And Responsibilities Assist analytics projects within the telecom domain, driving design, development, and delivery of data science solutions Develop and execute on project & analysis plans under the guidance of Project Manager Interact with and advise consultants/clients in US as a subject matter expert to formalize data sources to be used, datasets to be acquired, data & use case clarifications that are needed to get a strong hold on data and the business problem to be solved Drive and Conduct analysis using advanced analytics tools and coach the junior team members Implement necessary quality control measures in place to ensure the deliverable integrity like data quality, model robustness, and explainability for deployments. Validate analysis outcomes, recommendations with all stakeholders including the client team Build storylines and make presentations to the client team and/or PwC project leadership team Contribute to the knowledge and firm building activities Professional And Educational Background BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master’s Degree /MBA from reputed institute

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. PwC US - Acceleration Center is seeking a highly strong analytical background to work in our Analytics Consulting practice Senior Associate’s will work as an integral part of business analytics teams in India alongside clients and consultants in the U.S., leading teams for high-end analytics consulting engagements and providing business recommendations to project teams. Years of Experience: Candidates with 4+ years of hands on experience Must Have Experience in building ML models in cloud environments (At least 1 of the 3: Azure ML, GCP’s Vertex AI platform, AWS SageMaker) Knowledge of predictive/prescriptive analytics, especially on usage of Log-Log, Log-Linear, Bayesian Regression technques and including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks Good knowledge of statistics For e.g: statistical tests & distributions Experience in Data analysis For e.g: data cleansing, standardization and data preparation for the machine learning use cases Experience in machine learning frameworks and tools (For e.g. scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib) Advanced level programming in SQL or Python/Pyspark Expertise with visualization tools For e.g: Tableau, PowerBI, AWS QuickSight etc. Nice To Have Working knowledge of containerization ( e.g. AWS EKS, Kubernetes), Dockers and data pipeline orchestration (e.g. Airflow) Good Communication and presentation skills Roles And Responsibilities Develop and execute on project & analysis plans under the guidance of Project Manager Interact with and advise consultants/clients in US as a subject matter expert to formalize data sources to be used, datasets to be acquired, data & use case clarifications that are needed to get a strong hold on data and the business problem to be solved Drive and Conduct analysis using advanced analytics tools and coach the junior team members Implement necessary quality control measures in place to ensure the deliverable integrity Validate analysis outcomes, recommendations with all stakeholders including the client team Build storylines and make presentations to the client team and/or PwC project leadership team Contribute to the knowledge and firm building activities Professional And Educational Background Any graduate /BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master’s Degree /MBA

Job Description Skills/Experience 5+ years of experience in designing and developing enterprise and/or consumer facing applications using technologies and frameworks like Node.js, ReactJS, AngularJS, Java, Bootstrap, and CSS 2+ years experience in leading teams (mentor, design, planning, tracking) and taking responsibilities to deliver as per the agreed upon schedules Strong hands-on experience with SQL and NoSQL databases Hands-on experience working in Linux OS and DevOps tools Very good debugging and problem resolution experience Experience developing responsive web applications Very good communication (verbal and written) to interact with our customers Ability and interest to learn alternative technologies based on need Experienced in product development lifecycle (prototyping, hardening, testing etc.) Additional Skills/Experience Experience with managing systems in Azure or AWS Eagerness to participate in product functional and user experience designs Experience in AI, ML, NLP, and Predictive Analytics domains Familiarity with i18n, latest trends in UI and UX designs Experience with implementation of payment gateways applicable in different countries Education Requirement Bachelors/Masters degree in Computer Science (ref:hirist.tech)

Job Description Proficiency with Python (Pandas, NumPy), SQL, and Java. Experience with LLMs, LangChain, and Generative AI technologies. Familiarity with ML frameworks (TensorFlow, PyTorch) and data engineering tools (Spark, Kafka). Microservices, CI CD, ML Strong data analysis skills and ability to present findings to both technical and non-technical stakeholders. Proficient understanding of key data engineering concepts, such as data lakes, columnar formats, ETL tools, and BI tools. Knowledge in Machine Learning, NLP, Recommender systems, personalization, Segmentation, microservices architecture and API development. Ability to adapt to a fast-paced, dynamic work environment and learn new technologies quickly. Work in a team/ Independently. Excellent Written & Verbal Communication Skills Solid critical thinking and questioning skills. High degree of flexibility - willing to fill in the gaps rather than relying on others Strong communication skills, especially in presenting data insights. Flexibility, problem-solving, and a proactive approach in a fast-paced environment (ref:hirist.tech)

Job Description Responsibilities : Planning and executing complex technical projects. Collaborating with technical leads and contributing to the overall architecture, design, and development of AI/ML projects. Collaborating with cross-functional teams in infrastructure, operations, support, core services, and systems engineering to design idiomatic, innovative, sustainable solutions. Working with the product team to ensure successful product and feature rollouts from requirements analysis through implementation and long-term operations Managing software project schedules to meet and communicate timelines in a rapidly changing industry. Developing processes and tools to improve team performance and quality of life. Developing processes and tools to improve product performance and quality. Supporting the goals and developing growth opportunities for team members by providing coaching via mentoring, one-on-one meetings, etc. Facilitating transparent, constructive communication between team members. Recruiting, managing, and maintaining a world-class engineering team. Requirements Strong interest and experience in development platforms, AI/ML, CI/CD, infrastructure, or making products for technical teams. Experience with system, API, and infrastructure design using cloud concepts such as storage volumes, private networks, load balancers, and virtual machines. Experience in a fast-paced, high-growth tech environment building and scaling internal platforms using JavaScript, TypeScript, or Go. Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short-term and long-term needs. Experience shipping products at scale and on time, with a focus on the customer. Experience managing and delivering projects throughout the entire SDLC. Experience with end-to-end quality best practices and their implementation. Experience with staffing, interviewing, building, and retaining teams. Experience managing, coaching, and mentoring software engineers. Experience conveying complex ideas in written, verbal, and presentational formats to get buy-ins from diverse stakeholders. (ref:hirist.tech)

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you’ll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Years of Experience: Candidates with 4+ years of hands on experience Required Skills Familiarity with the Conversational AI domain, conversational design & implementation, customer experience metrics, and industry-specific challenges Understanding of conversational (chats, emails and calls) data and its preprocessing (including feature engineering if required) to train Conversational AI systems. Strong problem-solving and analytical skills to troubleshoot and optimize conversational AI systems. Familiarity with NLP/NLG techniques such as parts of speech tagging, lemmatization, canonicalization, Word2vec, sentiment analysis, topic modeling, and text classification. NLP and NLU Verticals Expertise: Text to Speech (TTS), Speech to Text (STT), SSML modeling, Intent Analytics, Proactive Outreach Orchestration, OmniChannel AI & IVR (incl. Testing), Intelligent Agent Assist, Contact Center as a Service (CCaaS), Modern Data for Conversational AI and Generative AI. Experience building chatbots using bot frameworks like RASA/ LUIS/ DialogFlow/Lex etc. and building NLU model pipeline using feature extraction, entity extraction, intent classification etc. Understanding and experience on cloud platforms (e.g., AWS, Azure, Google Cloud, Omilia Cloud Platform, Kore.ai, OneReach.ai, NICE, Salesforce, etc.) and their services for building Conversational AI solutions for clients Expertise in Python or PySpark. R and JavaScript framework. Expertise in visualization tools such as Power BI, Tableau, Qlikview, Spotfire etc. Experience with evaluating and improving conversational AI system performance through metrics and user feedback Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders. Proven track record of successfully delivering conversational AI projects on time Familiarity with Agile development methodologies and version control systems. Ability to stay updated with the latest advancements and trends in conversational AI technologies. Strong strategic thinking and ability to align conversational AI initiatives with business goals. Knowledge of regulatory and compliance requirements related to conversational AI applications Experience in the telecom industry or a similar field Familiarity with customer service operations and CRM systems Nice To Have Familiarity with data wrangling tools such as Alteryx, Excel and Relational storage (SQL) ML modeling skills: Experience in various statistical techniques such as Regression, Time Series Forecasting, Classification, XGB, Clustering, Neural Networks, Simulation Modelling, Etc. Experience in survey analytics, organizational functions such as pricing, sales, marketing, operations, customer insights, etc. Understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data. Good Communication and presentation skills

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you’ll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Years of Experience: Candidates with 8+ years of hands on experience Must Have Internal & External stakeholder management Forecast & define project milestones/timelines Familiar on estimation models (Fixed Bid, T&M) Familiarity with the CCaaS domain,CCaaS Application Development , contact center solution design. In-depth knowledge of CCaaS platforms like MS DCCP, Amazon Connect , NICECXOne, Genesys Cloud , Cisco Webex CC, Cisco HCS, UCCE/PCCE etc., including their architecture, functionalities, and application development, integration capabilities Governance & communication skills Hands-on configuration of CCaaS platform (MS DCCP, Amazon Connect/ Genesys Cloud/NICE CXOne) includes, Implementation of Contact Centre platforms ,Instance creation & setup ,Configuration ,Application Development ,CCaaS integration with CRM , ITSM & other host application ,SIP Trunking Understanding of the fundamental ingredients of enterprise integration including interface definitions and contracts; REST APIs or SOAP web services; SQL,MY SQL, Oracle , PostgreSQL , Dynamo DB, S3, RDS Provide effective real time demonstrations of CCaaS & AI (Bots) platforms Work on high volume presales consulting engagements including solution design document definition, commercial construct (CCaaS) High proficiency in defining top notch customer facing slides/presentations Proficiency in data visualization tools like Tableau, Power BI, Quicksight and others Nice To Have Experience in CPaaS platforms (Twilio, Infobip) for synergies between Communication Platform As A Service & Contact Center As a Service Understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and their services for scalable data storage, processing, and analytics Work on high velocity Presales solution consulting engagements (RFP, RFI, RFQ) Define industry specific use cases (BFS & I, Telecom, Retail, Manlog etc) Defining Business Case Preferred Skills Add here AND change text color to black or remove bullet and section title if not applicable Minimum Years Experience Required Add here AND change text color to black or remove bullet and section title if not applicable Additional Application Instructions Add here AND change text color to black or remove bullet and section title if not applicable

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Examples Of The Skills, Knowledge, And Experiences You Need To Lead And Deliver Value At This Level Include But Are Not Limited To: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Responsibilities Design, develop, and maintain high-performance backend applications using Python, with a focus on scalability, maintainability, and system integration. Build complex and optimized SQL queries, procedures, and data models to support business-critical functions across multiple systems. Lead integration efforts using RESTful APIs, cloud services, and messaging frameworks to connect various platforms and applications. Deploy AI/ML models and services using Azure Machine Learning and integrate them into production systems through RESTful APIs. Architect and implement enterprise-grade workflows and orchestration solutions leveraging Azure services such as Data Factory, Azure Functions, Logic Apps, and Azure Storage. Enforce best practices in development lifecycle including version control, automated testing, CI/CD pipelines, and documentation. Collaborate with data engineers, architects, and business stakeholders to deliver end-to-end data and AI solutions aligned with business goals. Knowledge And Experience Extensive hands-on experience in Python development, including advanced programming concepts, system design, and integrations. Deep expertise in SQL, with a proven ability to write optimized, scalable queries and manage complex relational database operations. Strong integration background, including working with RESTful APIs, databases (SQL/NoSQL), message queues, and cloud services. Practical experience with Azure cloud ecosystem, particularly in deploying serverless applications, orchestrating workflows, and managing data pipelines. Familiarity with AI/ML model integration and deployment, with the ability to support full lifecycle implementation from a systems perspective. Solid understanding of ALM and DevOps practices, including source control, CI/CD, testing, and environment management. Skills Advanced Python development skills for AI, ML, and data engineering use cases. Strong analytical thinking and problem-solving abilities. Excellent communication skills and ability to collaborate across technical and non-technical teams. Ability to manage multiple projects in a fast-paced, dynamic environment. Familiarity with AI governance, responsible AI principles, and secure cloud-native solution architecture on Azure.

Job Description About the Job WonDRx (pronounced as Wonder-Rx) is an innovative and disruptive technology platform in healthcare, aiming to connect patients, doctors, and the entire healthcare ecosystem on a single platform. We are looking for a Data Analytics and Research Manager (AI-driven) to lead analytics and insights strategy aligned with our fast-growing product and business goals. This person will manage data pipelines, apply AI/ML models, perform healthcare research, and build a small but high-performing analytics team. Key Responsibilities Define and lead the data and analytics roadmap. Design and manage health data pipelines, dashboards, and KPIs. Apply ML/NLP for patient behavior prediction and analytics automation. Conduct market and competitor research to support business strategies. Collaborate across teams and present insights to CXOs. Mentor a data analytics team ensuring accuracy and impact. Tools & Technologies Languages: SQL, Python/R AI/ML: scikit-learn, TensorFlow BI Tools: Power BI, Tableau, Looker Cloud Stack: BigQuery, Snowflake, AWS, Databricks GenAI Tools: ChatGPT, Copilot, Custom LLMs Qualifications Bachelors/Masters in Data Science, Statistics, Engineering, or related. 6-10 years in analytics with at least 2+ years in a leadership role. Strong business acumen, preferably in healthcare/life sciences. Hands-on AI/ML experience. Excellent communication and storytelling skills. Join us to transform the healthcare experience for millions.,

Python Developer Job Location : Indore. Overall Experience : 3 Yrs. Job Type : Full-Time. Key Responsibilities Design and develop RESTful APIs using Flask. Develop and maintain web applications using Python and Flask. Integrate OpenAI technologies into existing and new applications. Design, develop, and implement machine learning models and algorithms. Collaborate with data scientists to implement AI models. Write efficient, scalable, and reusable Python code. Optimize and fine-tune machine learning models for performance. Troubleshoot and debug applications. Ensure the scalability and performance of applications. Implement security best practices. Participate in code reviews and ensure adherence to best practices. Create and maintain technical documentation. Stay up-to-date with the latest advancements in AI/ML technologies. Collaborate with cross-functional teams to define and achieve project goals. Preferred Skills 3 years of experience and a degree in Computer Science. Strong expertise in Python, Flask, and REST APIs. Hands-on experience with OpenAI, SQL/NoSQL databases, and Git. Solid knowledge of Machine Learning, CI/CD pipelines (GitHub), and cloud platforms (AWS/Azure/GCP). (ref:hirist.tech)

What we do? At ClearTrail, work is more than just a job. Our calling is to develop solutions that empower those dedicated to keep their people, places and communities safe. For over 21 years, law enforcement & federal agencies across the globe have trusted ClearTrail as their committed partner in safeguarding nations & enriching lives. We are envisioning the future of intelligence gathering by developing artificial intelligence and machine learning based lawful interception & communication analytics solutions that solve the worlds most challenging are we looking for? We are looking for ML Engineer (2-4 years experience) with ML and LLM skill set in Indore, M. Roles And Responsibilities Develop end-to-end machine learning pipeline which includes model development, refining, and implementation for variety of analytics problems. Communicating results to diverse technical and non-technical audiences. Provides LLM expertise to solve problems using state-of-the-art language models and off-the-shelf LLM services, such as OpenAI models etc. Along with knowledge about Retrieval augmented generation and relevant techniques to improve performance & capabilities of LLMs. Research and Innovation : Stay up to date with the latest advancements in the fields of AI. Problem-solving and code debugging skills. Hands on practical experience with usage of large language and generative AI models both proprietary and opensource, including transformers and GPT models (preferred). Skills Mandatory hands on experience in the following : Libraries : Python, Scikit-Learn, PyTorch, LangChain, Transformers. Techniques : Exploratory Data Analysis, Machine Learning and Neural Networks. Machine learning model building, Hyperparameter tuning and Model performance metrics and Model Deployment. Practical knowledge of LLM and its fine to have experience : Deep Learning. MLOps. SQL. Qualifications Bachelors degree in computer science & engineering. 2-4 years of Proven experience as a Machine Learning Engineer or similar role with LLM skill set. Sound theoretical and practical knowledge of working with machine learning algorithms and hands-on with LLM applications. (ref:hirist.tech)

Job Description We are looking for an experienced Lead Developer in Generative AI to spearhead our AI initiatives. In this role, you will lead the design, development, and deployment of AI models and applications that leverage generative technologies. Lead The Development Of Generative AI Models You'll work closely with cross-functional teams to integrate AI solutions into our products and services, pushing the boundaries of what's possible with : Design and implement advanced generative models (e.g., GPT, GANs, VAEs) for various applications such as content generation, data augmentation, and more. Project Management Oversee AI projects from conception to deployment, ensuring timely delivery and alignment with business objectives. Collaborate With Cross-Functional Teams Work closely with product managers, designers, and other developers to integrate AI functionalities into products. Research And Innovation Stay updated on the latest advancements in AI and machine learning, and incorporate relevant findings into ongoing projects. Mentorship And Team Leadership Mentor junior developers and data scientists, fostering a collaborative and innovative team environment. Deploy And Scale AI Solutions Optimize models for performance and scalability, and deploy them in production environments. Ensure Ethical AI Practices Implement AI solutions responsibly, considering ethical implications and ensuring compliance with relevant : Educational Background Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience Minimum of 5 years of experience in AI/ML development, with at least 2 years focused on generative models. Technical Skills Proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, or Keras. Strong understanding of machine learning algorithms and deep learning architectures. Experience with NLP models (e.g., GPT, BERT) and/or generative models like GANs and VAEs. Project Leadership Proven ability to lead complex projects and teams, delivering results on time and within scope. Problem-Solving Skills Strong analytical skills with the ability to translate business requirements into technical solutions. Communication Skills Excellent verbal and written communication skills, with the ability to explain complex AI concepts to non-technical stakeholders. Ethical Awareness Understanding of the ethical considerations in AI development, including bias mitigation and data to Have : Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI models. Familiarity with containerization and orchestration tools like Docker and Kubernetes. Knowledge of data engineering and experience working with large datasets. Publications or contributions to the AI community (ref:hirist.tech)

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. PwC US - Acceleration Center is seeking a highly strong analytical background to work in our Analytics Consulting practice Senior Associate’s will work as an integral part of business analytics teams in India alongside clients and consultants in the U.S., leading teams for high-end analytics consulting engagements and providing business recommendations to project teams. Years of Experience: Candidates with 4+ years of hands on experience Must Have Experience in building ML models in cloud environments (At least 1 of the 3: Azure ML, GCP’s Vertex AI platform, AWS SageMaker) Knowledge of predictive/prescriptive analytics, especially on usage of Log-Log, Log-Linear, Bayesian Regression technques and including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks Good knowledge of statistics For e.g: statistical tests & distributions Experience in Data analysis For e.g: data cleansing, standardization and data preparation for the machine learning use cases Experience in machine learning frameworks and tools (For e.g. scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib) Advanced level programming in SQL or Python/Pyspark Expertise with visualization tools For e.g: Tableau, PowerBI, AWS QuickSight etc. Nice To Have Working knowledge of containerization ( e.g. AWS EKS, Kubernetes), Dockers and data pipeline orchestration (e.g. Airflow) Good Communication and presentation skills Roles And Responsibilities Develop and execute on project & analysis plans under the guidance of Project Manager Interact with and advise consultants/clients in US as a subject matter expert to formalize data sources to be used, datasets to be acquired, data & use case clarifications that are needed to get a strong hold on data and the business problem to be solved Drive and Conduct analysis using advanced analytics tools and coach the junior team members Implement necessary quality control measures in place to ensure the deliverable integrity Validate analysis outcomes, recommendations with all stakeholders including the client team Build storylines and make presentations to the client team and/or PwC project leadership team Contribute to the knowledge and firm building activities Professional And Educational Background Any graduate /BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master’s Degree /MBA

Key Expertise Solution Design & Architecture : Expertise in architecting end-to-end solutions that meet both technical and business requirements, ensuring scalability, performance, and security. Software Development : In-depth knowledge of modern software development practices, frameworks, and methodologies, including expertise in full-stack development using React and Python Django. AI Integration : Proficient in implementing AI-driven solutions such as Generative AI, machine learning, and predictive analytics to enhance decision-making and automate processes. Cloud Architecture : Extensive experience in designing and deploying cloud-based solutions using AWS, Azure, and Google Cloud. Strong expertise in cloud migration, infrastructure design, and DevOps practices. Data Management & Analytics : Skilled in leveraging data management platforms and real-time analytics to create data-driven solutions that support decision-making and business intelligence. Security & Compliance : Strong understanding of data security, privacy regulations (e.g., HIPAA, GDPR), and industry-specific compliance standards, ensuring that solutions are designed with security and regulatory compliance in Highlights : Architecting AI And Generative AI Solutions Designed and implemented AI-powered solutions, including Generative AI models for content generation and automation. Led teams to develop AI solutions for predictive analytics, data augmentation, and real-time decision-making for healthcare and financial clients. Integrated AI functionalities into business applications to enhance customer experience and operational efficiency. Cloud Solutions Design Architected cloud infrastructure solutions for enterprises, optimizing cost, performance, and security using AWS, Azure, and Google Cloud. Led cloud migration projects, moving legacy systems to scalable cloud environments with minimal downtime and data integrity. Integrated cloud-native services such as serverless computing, containerization (Docker, Kubernetes), and CI/CD pipelines to streamline deployment and Software Development : Led teams in the development of scalable, user-centric web applications using React for front-end and Python Django for back-end. Architected microservices and RESTful APIs for enterprise-level applications, ensuring seamless integration across systems. Optimized performance and security across full-stack applications, focusing on user experience and application Management & Analytics : Implemented data management platforms (DMPs) for advanced audience segmentation and targeting, enabling more effective marketing campaigns for clients in the AdTech and e-commerce sectors. Developed real-time bidding (RTB) solutions and programmatic advertising systems, integrating data analytics to improve ad spend & Healthcare Solutions : Architected secure and compliant telemedicine platforms, integrating real-time communication tools with electronic health record (EHR) systems for healthcare clients. Designed and implemented solutions to manage patient data securely, adhering to HIPAA and GDPR Skills : Languages : JavaScript, Python, HTML/CSS, SQL, : React, Node.js, Django, Flask AI/ML : TensorFlow, PyTorch, GPT models, Generative AI, Predictive Analytics Cloud Platforms : AWS, Azure, Google Cloud, Docker, Kubernetes Data Management : PostgreSQL, MySQL, MongoDB, Data Lakes, DMPs Security : SSL, Firewalls, Identity & Access Management, Data Encryption, Compliance (HIPAA, GDPR) DevOps : Jenkins, Git, Docker, Kubernetes, CI/CD Skills : Leadership & Collaboration : Successfully led cross-functional teams, working closely with developers, product managers, and stakeholders to deliver solutions aligned with business goals. Strategic Thinking : Ability to balance technical innovation with business objectives, ensuring solutions are not only technologically advanced but also cost-effective and scalable. Client Engagement : Skilled in working directly with clients to understand their needs, translating business requirements into actionable technical solutions. Problem Solving : Strong analytical skills with a focus on diagnosing complex technical issues and providing innovative solutions under tight : AWS Certified Solutions Architect Certified Kubernetes Administrator (CKA) Certified in Generative AI Applications Microsoft Certified : Azure Solutions Architect Expert (ref:hirist.tech)

Develop mathematical models for trading, forecasting, or data processing, and continuously enhance existing models. Analyze large datasets to identify trends and insights, as well as conduct research on financial markets and economic conditions. Utilize strong coding skills in Python and other languages to implement mathematical models. Explore unconventional data sources to drive innovation and enhance model performance. Translate mathematical models into algorithms for practical application. Manage risk by developing mathematical models to assess and mitigate risks associated with products or strategies. Build predictive models based on historical data using Monte Carlo modeling techniques. Demonstrate proficiency in writing pseudo code and Python code to test mathematical models. Possess a good understanding of trading systems and trade execution processes to minimize latency and slippages. Have a comprehensive knowledge of financial and capital markets to make informed decisions. Oversee the development and implementation of investment strategies using mathematical and statistical tools. Utilize AI, machine learning, and linear latent models to enhance efficiency and productivity. Apply data science, mathematics, and statistics to develop or enhance investment strategies. Ensure compliance with SEBI regulations and other legal requirements. Identify and implement mathematical and statistical models for effective risk management of strategies and products. Establish and monitor internal controls to manage and mitigate risks efficiently. Requirements: - Bachelor's degree in Mathematics, Master's degree preferred or currently pursuing a PhD in Mathematics. - Relevant experience in mathematics, statistics, computer science, or finance is preferred. - Minimum of 3-5 years of experience in building mathematical models and data sciences. - Proven ability to develop and implement mathematical models in live market strategies. - Uphold high ethical standards and prioritize clients" best interests. This is a full-time position with a day shift schedule requiring in-person work.,

About Snapmint Snapmint is a leading fintech company redefining access to consumer credit in India. With over 10 million customers across 2,200+ cities, our zero-cost EMI platform enables responsible purchases without the need for a credit card across categories like fashion, electronics, and lifestyle. India has over 300 million credit-eligible consumers, yet fewer than 35 million actively use credit cards. Snapmint addresses this gap by offering a trusted, transparent alternative grounded in financial inclusion and ethical lending practices. Founded in 2017, Snapmint is a profitable, high-growth company doubling year-on-year. Our founding team, alumni of IIT Bombay and ISB, brings deep experience from companies like Oyo, Ola,Maruti Suzuki, and has successfully built and exited ventures in ad-tech, patent analytics, and bank-tech. We are building the future of responsible consumer finance, simple, transparent, and customer-first. Role Overview We are looking for a senior Information Security leader to join our rapidly growing fintech company. Prior experience in a regulated financial environment such as an NBFC, payment aggregator, PPI, or bank is essential. In this strategic role, you will define and drive our cybersecurity vision, ensure compliance with evolving regulations, protect critical digital assets, and strengthen our overall security posture. This is a key leadership position, working closely with executive teams to build a secure and scalable future. Key Objectives Lead the company's information security and risk management strategy. Safeguard data, intellectual property, and technology assets from internal and external threats. Ensure compliance with data privacy and cybersecurity regulations (e.g., DPDP, GDPR). Develop, implement, and enforce security policies, procedures, and incident response plans. Partner with business and IT leaders to embed security across operations and ensure resilience. Key Responsibilities Design and manage a comprehensive security program spanning cyber defense, data protection, and threat detection. Conduct risk assessments, oversee mitigation strategies, and manage security controls across on-prem and cloud infrastructure. Lead incident detection, response, recovery, and continuous improvement of the security posture. Ensure compliance through regular audits, regulatory reporting, and vulnerability assessments. Promote a culture of security through awareness training and cross-functional engagement. Monitor the evolving threat landscape and advise leadership on emerging risks and technologies. Required Qualifications Bachelor's degree in Information Security, Computer Science, or related field. 6+ years in a senior information security role (e.g., CISO, Security Lead), with direct experience in a fintech, NBFC, banking, or regulated financial services environment. Strong grasp of cybersecurity frameworks (e.g., ISO 27001), threat modeling, and risk governance. Hands-on experience with firewalls, IDS/IPS, encryption, and other core security technologies. In-depth understanding of data protection laws and regulatory standards. Proven track record of leading and developing high-performing security teams. Preferred Qualifications Certifications such as CISSP, CISM, CISA, or equivalent. Experience securing cloud platforms (AWS, Azure, GCP). Familiarity with DevSecOps, secure SDLC, and application security. Background in penetration testing, ethical hacking, or incident forensics. Proficiency with SIEM and security analytics tools. Exposure to AI/ML applications in cybersecurity is a plus. (ref:hirist.tech)

Location : Preferred: Ahmedabad, Gandhinagar, Hybrid (Can consider Remote case to case). Experience : 8+ Years (with hands-on AI/ML architecture experience). Education : Ph. or Master's in Computer Science, Data Science, Artificial Intelligence, or related fields. Job Summary We are seeking an experienced AI/ML Architect with a strong academic background and industry experience to lead the design and implementation of AI/ML solutions across diverse industry domains. The ideal candidate will act as a trusted advisor to clients, understanding their business problems, and crafting scalable AI/ML strategies and solutions aligned to their vision. Key Responsibilities Engage with enterprise customers and stakeholders to gather business requirements, problem statements, and aspirations. Translate business challenges into scalable and effective AI/ML-driven solutions and architectures. Develop AI/ML adoption strategies tailored to customer maturity, use cases, and ROI potential. Design end-to-end ML pipelines and architecture (data ingestion, processing, model training, deployment, and monitoring). Collaborate with data engineers, scientists, and business SMEs to build and operationalize AI/ML solutions. Present technical and strategic insights to both technical and non-technical audiences, including executives. Lead POCs, pilots, and full-scale implementations. Stay updated on the latest research, technologies, tools, and trends in AI/ML and integrate them into customer solutions. Contribute to proposal development, technical documentation, and pre-sales engagements. Required Qualifications 8+ years of experience in the AI/ML field, with a strong background in solution architecture. Deep knowledge of machine learning algorithms, NLP, computer vision, deep learning frameworks (TensorFlow, PyTorch, etc.) Experience with cloud AI/ML services (AWS SageMaker, Azure ML, GCP Vertex AI, etc.) Strong communication and stakeholder management skills. Proven track record of working directly with clients to understand business needs and deliver AI solutions. Familiarity with MLOps practices and tools (Kubeflow, MLflow, Airflow, etc. Preferred Skills Experience in building GenAI or Agentic AI applications. Knowledge of data governance, ethics in AI, and explainable AI. Ability to lead cross-functional teams and mentor junior data scientists/engineers. Publications or contributions to AI/ML research communities (preferred but not mandatory). (ref:hirist.tech)

Role Summary Were looking for a data-science leader who can turn raw data into clear insight and innovative AI products. Youll own projects end-to-end - from framing business questions and exploring datasets to deploying and monitoring models in the cloud. Along the way youll introduce generative-AI ideas such as chat assistants and retrieval-augmented search, steer a small team of data professionals, and work closely with product, engineering, an business stakeholders to deliver measurable Responsibilities : Design and build predictive & forecasting models that drive measurable impact. Plan and run A/B experiments to validate ideas and guide product decisions. Develop and maintain data pipelines that ensure clean, trusted, and timely datasets. Lead generative-AI initiatives (e.g., LLM-powered chat, RAG search, custom embeddings). Package, deploy, and monitor models using modern MLOps practices in public cloud. Establish monitoring & alerting for accuracy, latency, drift, and cost. Mentor and coach the team, conducting code reviews and sharing best practices. Translate complex findings into clear, action-oriented stories for non-technical audiences. Ensure data governance and privacy across all projects, meeting internal and industry standards. Continuously evaluate new tools & methods, running quick PoCs to keep solutions Skills & Experience : Solid foundation in statistics, experiment design, and end-to-end ML workflows. Strong Python and SQL; proven record of moving models from notebook to production. Hands-on cloud experience (AWS, Azure, or GCP) with container-based deployment and CI/CD. Practical exposure to generative-AI projects - prompt engineering, fine-tuning, or retrieval-augmented pipelines. (ref:hirist.tech)

You should have at least 6 years of experience in designing and developing enterprise and/or consumer-facing applications using technologies like JavaScript, Node.js, ReactJS, Angular, SCSS, CSS, and React Native. Additionally, you should possess 3+ years of experience in leading teams, guiding, designing, and tracking project progress to ensure timely delivery. Your hands-on experience with both SQL and NoSQL databases, as well as working in a Linux OS environment, will be valuable for this role. Strong debugging and problem-solving skills are essential, along with a proven track record in developing responsive web applications. Excellent communication skills, both verbal and written, are required to effectively interact with customers. You should also have the ability and interest to learn new technologies as needed. Experience in the product development lifecycle, including prototyping, hardening, and testing, is highly desirable. Furthermore, working knowledge of Python and NoSQL databases such as MongoDB and Cassandra is preferred. Your eagerness to contribute to product functional and user experience designs, along with experience in AI, ML, NLP, and Predictive Analytics domains, will be advantageous. Familiarity with i18n, the latest UI/UX design trends, and experience with CI/CD tools like Jenkins and Nginx are also beneficial for this role.,

As an Engineer - RPA Developer, you will be responsible for various tasks related to Robotic Process Automation. Your duties will include collaborating with the team to discuss projects and applications, reviewing application requirements and designs, monitoring and enhancing the performance of existing applications, troubleshooting and debugging application codes, documenting application changes and development updates, contributing to planning, design, implementation, testing, and process improvement, as well as staying updated on new features, libraries, and technologies in RPA and other emerging technologies. To qualify for this position, you must hold a Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. You should have experience working with any programming language and using Robotic Process Automation tools such as UiPath, Automation Anywhere, or BluePrism, with a preference for experience in UiPath. Exposure to web-based automation and ERP systems like SAP, MS AX Dynamics, or Oracle EBS is required. Additionally, you should have experience in designing and developing automation scripts using appropriate tools and frameworks, knowledge of Test Automation Framework, troubleshooting and debugging skills, and familiarity with cloud technologies like AWS or Azure. Experience with .NET, JAVA, or Python, as well as Third-Party Integration with UiPath, is advantageous. Certification in any RPA tool is mandatory, along with exposure to UiPath Orchestrator, RE framework in UiPath, UiPath Document understanding, Automation Hub, and ML features. In this role, you will need to work in a fast-paced environment, adapt quickly to changing priorities, interpret data and identify trends for improvement, build professional relationships with team members, and communicate effectively both verbally and in writing. You should have a minimum of 3 years of RPA Developer experience, 2 years of IT experience in .NET development and RPA implementation, and hands-on experience in Robotic automation using RPA software like Automation Anywhere, Blue Prism, Work Fusion, or UiPath. A minimum of 5 to 8 years of RPA Developer experience is required, with at least 5-10 RPA projects executed end-to-end in any RPA product. This is a full-time position located in IN-MH-Pune, India at Magarpatta City-Unit B (eInfochips).,

Job Description Are you ready to elevate your career in software engineering? Join our dynamic team as a Python Developer, where your expertise will drive cutting-edge solutions and contribute to impactful projects. We offer unparalleled opportunities for career growth and a collaborative environment where you can thrive and make a significant impact. As a Lead Software Engineer at JPMorgan Chase within the Technology and Engineering division, you will execute software solutions, design, and development, collaborating with cross-functional teams to deploy machine learning services. You will be responsible for producing architecture and design artifacts for complex applications, ensuring design constraints are met. Your role will involve contributing to the engineering community and influencing the use of leading-edge technologies. Job Responsibilities Execute software solutions, design, development, and technical troubleshooting, thinking beyond routine approaches. Create secure and high-quality production code, maintaining algorithms that run synchronously with systems. Produce architecture and design artifacts for complex applications, ensuring design constraints are met. Collaborate with cross-functional teams, including Data Science partners, to design and deploy machine learning services. Contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices. Influence peers and project decision-makers to consider leading-edge technologies. Add to the team culture of diversity, equity, inclusion, and respect. Required Qualifications, Capabilities, And Skills Formal training or certification on Software Engineering concepts and 5+ years applied experience. Experience in building complex software systems in both private and public cloud environments (AWS). Hands-on practical experience delivering system design, application development, testing, and operational stability. Advanced Python Programming Skills including Pandas, Numpy. Proficiency with AIM algorithms. Advanced knowledge of software applications and technical processes in technical disciplines (e.g., cloud, AI, ML). Ability to tackle design and functionality problems independently with little oversight. Preferred Qualifications, Capabilities, And Skills Advanced skills in additional programming languages (Java). Familiarity with building services and consuming data via GraphQL, REST, or gRPC and SQL Experience in building and deploying machine learning models, with knowledge of the ML Lifecycle; expertise in MLOps and AIOps is an advantage. Working knowledge of security best practices and compliance standards for machine learning systems. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You’ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

Job Description GalaxEye is a Space-Tech startup at the forefront of innovation, we are pioneering the World's First Multi-Sensor Earth Observation Satellite and aiming to build a constellation of indigenous micro-satellites with advanced data fusion capabilities. Our upcoming satellite Mission Drishti slated for launch in 2025, will set a global benchmark as the “World's First Multi-Sensor Satellite” integrating both SAR (Synthetic Aperture Radar) & MSI (Multi-Spectral Imaging) sensors on a single platform. A member of the Image Processing team, you will research, design, implement, optimize and deploy image processing algorithms to evolve our AI ecosystem continuously. The usual day-to-day tasks include developing the optical processing pipeline for various platforms, implementing new image processing algorithms, calibration of the sensors, fine-tuning them on our data, reviewing performance metrics, integrating and optimising the algorithms to run efficiently in our platform while continuously iterating and improving based on real-world performance. Responsibilities Select, test, implement and optimize image processing and image analysis using both classical and deep learning methods to extract relevant signals from imaging data Design and implement algorithms to carry out image processing including filtering, alignment, segmentation, and feature extraction efficiently across multi-terabyte sized datasets Research and fine-tune the latest image processing algorithms on our dataset to run efficiently while optimising based on real-time performance Write robust, well-documented, and well-tested code libraries that adhere to community standards and best practices Image Processing Engineer to Develop CI/CD pipeline patterns and best practices Collaborating with a team of data scientists, DevOps, Data engineers, and ML engineers Requirements Strong Foundation in Mathematical Statistics. Logical Thinking & Ability to Comprehend key facts. Background in basic image processing or basic signal processing will be preferred Experience with data science tools including Python scripting, CUDA, numpy, scipy, matplotlib, scikit-learn, bash scripting and Linux environment. Proficiency in Python and C++ Programming is a must. Preferred Experience in remote sensing or related fields. Ability to collaborate effectively across the team A detail-oriented team member who can consistently meet deadlines. Benefits Be a part of India’s leading space-tech satellite technology company. Work closely with new age leaders and gain hands-on experience in strategy and operations. Thrive in a collaborative and growth-oriented startup culture. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#5BBD6E;border-color:#5BBD6E;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">