4844 Numpy Jobs - Page 45

As part of ACL Digital, an ALTEN Group Company, you will be contributing to digital product innovation and engineering as a key player. Our focus lies in assisting our clients in the design and development of cutting-edge products that are AI, Cloud, and Mobile ready, along with creating content and commerce-driven platforms. Through a design-led Digital Transformation framework, we facilitate the creation of connected, converged digital experiences tailored for the modern world. By leveraging our expertise in strategic design, engineering, and industry knowledge, you will play a crucial role in helping our clients navigate the digital landscape, thereby accelerating their growth trajectory. Headquartered in Silicon Valley, ACL Digital is a frontrunner in design-led digital experiences, innovation, enterprise modernization, and product engineering services, particularly within the Technology, Media & Telecom sectors. We are proud of our diverse and skilled workforce, which is part of the larger ALTEN Group comprising over 50,000 employees spread across 30+ countries, fostering a multicultural workplace and a collaborative knowledge-sharing environment. In India, our operations span across Bangalore, Chennai, Pune, Panjim, Hyderabad, Noida, and Ahmedabad, while in the USA, we have established offices in California, Atlanta, Philadelphia, and Washington states. As a suitable candidate for this role, you are expected to possess the following technical skills and competencies: - A minimum of 4-5 years of relevant experience in the field - Preferably trained or certified in Data Science/Machine Learning - Capable of effectively collaborating with technical leads - Strong communication skills coupled with the ability to derive meaningful conclusions - Proficiency in Data Science concepts, Machine Learning algorithms & Libraries like Scikit-learn, Numpy, Pandas, Stattools, Tensorflow, PyTorch, XGBoost - Experience in Machine Learning Training and Deployment pipelines - Familiarity with FastAPI/Flask framework - Proficiency in Docker and Virtual Environment - Proficient in Database Operations - Strong analytical and problem-solving skills - Ability to excel in a dynamic environment with varying degrees of ambiguity Your role would involve the following responsibilities and competencies: - Applying data mining, quantitative analysis, statistical techniques, and conducting experiments to derive reliable insights from data - Understanding business use-cases and utilizing various sources to collect and annotate datasets for business problems - Possessing a strong academic background with excellent analytical skills and exposure to machine learning and information retrieval domain and technologies - Strong programming skills with the ability to work in languages such as Python, C/C++ - Acquiring data from primary or secondary sources and performing data tagging - Filtering and cleaning data based on business requirements and maintaining a well-defined, structured, and clean database - Working on data labeling tools and annotating data for machine learning models - Interpreting data, analyzing results using statistical techniques and models, and conducting exploratory analysis If you are someone who thrives in a challenging and dynamic environment and possesses the required technical skills and competencies, we look forward to having you join our team at ACL Digital.,

About ValGenesis ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle. Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences: https://www.youtube.com/watch?v=tASq7Ld0JsQ About the Role: We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team to build the next gen applications for our global customers. If you are a technology enthusiast and highly passionate, we are eager to discuss with you about the potential role. Responsibilities: Implement, and deploy Machine Learning solutions to solve complex problems and deliver real business value, i.e. revenue, engagement, and customer satisfaction. Collaborate with data product managers, software engineers and SMEs to identify AI/ML opportunities for improving process efficiency. Develop production-grade ML models to enhance customer experience, content recommendation, content generation, and predictive analysis. Monitor and improve model performance via data enhancement, feature engineering, experimentation and online/offline evaluation. Stay up to date with the latest in machine learning and artificial intelligence and influence AI/ML for the Life science industry. Responsibilities 4 - 8 years of experience in AI/ML engineering, with a track record of handling increasingly complex projects. Strong programming skills in Python, Rust. Experience with Pandas, NumPy, SciPy, OpenCV (for image processing) Experience with ML frameworks, such as scikit-learn, Tensorflow, PyTorch. Experience with GenAI tools, such as Langchain, LlamaIndex, and open-source Vector DBs. Experience with one or more Graph DBs - Neo4J, ArangoDB Experience with MLOps platforms, such as Kubeflow or MLFlow. Expertise in one or more of the following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, Sequential Models. Expertise in building, deploying, measuring, and maintaining machine learning models to address real-world problems. Thorough understanding of software product development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices. Excellent written and verbal communication skills and interpersonal skills. Advanced degree in Computer Science, Machine Learning or related field. We’re on a Mission In 2005, we disrupted the life sciences industry by introducing the world’s first digital validation lifecycle management system. ValGenesis VLMS® revolutionized compliance-based corporate validation activities and has remained the industry standard. Today, we continue to push the boundaries of innovation enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations. The Team You’ll Join Our customers’ success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity’s quality of life, and we honor that mission. We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done. We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward. We’re in it to win it. We’re on a path to becoming the number one intelligent validation platform in the market, and we won’t settle for anything less than being a market leader. How We Work Our Chennai, Hyderabad and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company. ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.

As a Python Backend Developer at Coforge, you should have 4-6 years of experience working with Python as a backend technology, particularly in stack development. You must also possess expertise in microservices and APIs. Proficiency in core Python fundamentals, Pandas, and Numpy is essential for this role. Additionally, you will have the opportunity to be trained in React JS. At Coforge, we are currently looking to hire both full-time employees and freelancers.,

About Calfus: Calfus is a Silicon Valley headquartered software engineering and platforms company with a vision deeply rooted in the Olympic motto "Citius, Altius, Fortius Communiter". At Calfus, we aim to inspire our team to rise faster, higher, and stronger while fostering a collaborative environment to build software at speed and scale. Our primary focus is on creating engineered digital solutions that drive positive impact on business outcomes. Upholding principles of #Equity and #Diversity, we strive to create a diverse ecosystem that extends to the broader society. Join us at #Calfus and embark on an extraordinary journey with us! Position Overview: As a Data Engineer specializing in BI Analytics & DWH, you will be instrumental in crafting and implementing robust business intelligence solutions that empower our organization to make informed, data-driven decisions. Leveraging your expertise in Power BI, Tableau, and ETL processes, you will be responsible for developing scalable architectures and interactive visualizations. This role necessitates a strategic mindset, strong technical acumen, and effective collaboration with stakeholders across all levels. Key Responsibilities: - BI Architecture & DWH Solution Design: Develop and design scalable BI Analytical & DWH Solution aligning with business requirements, utilizing tools like Power BI and Tableau. - Data Integration: Supervise ETL processes through SSIS to ensure efficient data extraction, transformation, and loading into data warehouses. - Data Modelling: Establish and maintain data models that support analytical reporting and data visualization initiatives. - Database Management: Employ SQL for crafting intricate queries, stored procedures, and managing data transformations via joins and cursors. - Visualization Development: Spearhead the design of interactive dashboards and reports in Power BI and Tableau while adhering to best practices in data visualization. - Collaboration: Engage closely with stakeholders to gather requirements and translate them into technical specifications and architecture designs. - Performance Optimization: Analyze and optimize BI solutions for enhanced performance, scalability, and reliability. - Data Governance: Implement data quality and governance best practices to ensure accurate reporting and compliance. - Team Leadership: Mentor and guide junior BI developers and analysts to cultivate a culture of continuous learning and improvement. - Azure Databricks: Utilize Azure Databricks for data processing and analytics to seamlessly integrate with existing BI solutions. Qualifications: - Bachelor's degree in computer science, Information Systems, Data Science, or a related field. - 6-12 years of experience in BI architecture and development, with a strong emphasis on Power BI and Tableau. - Proficiency in ETL processes and tools, particularly SSIS. Strong command over SQL Server, encompassing advanced query writing and database management. - Proficient in exploratory data analysis using Python. - Familiarity with the CRISP-DM model. - Ability to work with various data models and databases like Snowflake, Postgres, Redshift, and MongoDB. - Experience with visualization tools such as Power BI, QuickSight, Plotly, and Dash. - Strong programming foundation in Python for data manipulation, analysis, serialization, database interaction, data pipeline and ETL tools, cloud services, and more. - Familiarity with Azure SDK is a plus. - Experience with code quality management, version control, collaboration in data engineering projects, and interaction with REST APIs and web scraping tasks is advantageous. Calfus Inc. is an Equal Opportunity Employer.,

Are you seeking an exciting opportunity to become part of a dynamic and expanding team in a fast-paced and challenging environment This unique position offers you the chance to collaborate with the Business team to deliver a comprehensive perspective. As a Model Risk Program Analyst within the Model Risk Governance and Review Group (MRGR), your responsibilities include developing model risk policy and control procedures, conducting model validation activities, offering guidance on appropriate model usage in the business context, evaluating ongoing model performance testing, and ensuring that model users understand the strengths and limitations of the models. This role also presents attractive career paths for individuals involved in model development and validation, allowing them to work closely with Model Developers, Model Users, Risk and Finance professionals. Your key responsibilities will involve engaging in new model validation activities for all Data Science models in the coverage area. This includes evaluating the model's conceptual soundness, assumptions, reliability of inputs, testing completeness, numerical robustness, and performance metrics. You will also be responsible for conducting independent testing and additional model review activities, liaising with various stakeholders to provide oversight and guidance on model usage, controls, and performance assessment. To excel in this role, you should possess strong quantitative and analytical skills, preferably with a degree in a quantitative discipline such as Computer Science, Statistics, Data Science, Math, Economics, or Math Finance. A Master's or PhD degree is desirable. Additionally, you should have a solid understanding of Machine Learning and Data Science theory, techniques, and tools, including Python programming proficiency and experience with machine learning libraries such as Numpy, Scipy, Scikit-learn, TensorFlow, and PyTorch. Prior experience in Data Science, Quantitative Model Development, Model Validation, or Technology focused on Data Science, along with excellent writing and communication skills, will be advantageous. A risk and control mindset, with the ability to ask incisive questions, assess materiality, and escalate issues, are also essential for this role. By staying updated on the latest developments in your coverage area, you will contribute to maintaining the model risk control apparatus of the bank and serve as a key point of contact within the organization. Join our team and be a part of shaping the future of model-related risk management decisions.,

You are invited to join our team as an Applied AI Engineer (Fresher), specifically looking for graduates from IITs or NITs. This is a full-time position based in Vapi, Gujarat, offering an exciting opportunity to work within our dynamic AI Engineering team. The ideal candidate will possess a strong foundation in Data Structures & Algorithms, exceptional problem-solving skills, and a genuine enthusiasm for AI, machine learning, and deep learning technologies. As an Applied AI Engineer, you will collaborate closely with senior engineers and data scientists to design and implement AI-driven solutions. Your responsibilities will include developing, optimizing, and deploying machine learning and deep learning models, as well as translating abstract AI challenges into efficient, scalable, and production-ready code. Additionally, you will contribute to data preprocessing, feature engineering, and model evaluation tasks, participate in technical discussions and code reviews, and explore cutting-edge AI frameworks and research trends. Key Skills required for this role include exceptional problem-solving abilities, proficiency in Python and core libraries such as NumPy, Pandas, and scikit-learn, a fundamental understanding of machine learning concepts, exposure to deep learning frameworks like TensorFlow or PyTorch, and a strong grasp of object-oriented programming and software engineering principles. A passion for AI, along with analytical, logical thinking, and mathematical skills, will be essential for success in this position. Candidates with hands-on experience in AI/ML projects, familiarity with Reinforcement Learning, NLP, or Computer Vision, and knowledge of tools like Git, Docker, and cloud platforms (AWS, GCP, Azure) are highly preferred. Educational qualifications include a degree in Computer Science, Artificial Intelligence, Machine Learning, or Data Science from IITs or NITs, with a strong academic record and demonstrated interest in AI/ML concepts. If you meet these requirements and are excited about contributing to the future of intelligent systems, we encourage you to apply by sharing your CV with us at jignesh.pandoriya@merillife.com. Join our team and be part of shaping innovative solutions that directly impact lives.,

You must have knowledge in Azure Datalake, Azure function, Azure Databricks, Azure Data Factory, and PostgreSQL. Working knowledge in Azure DevOps and Git flow would be an added advantage. Alternatively, you should have working knowledge in AWS Kinesis, AWS EMR, AWS Glue, AWS RDS, AWS Athena, and AWS RedShift. Demonstrable expertise in working with timeseries data is essential. Experience in delivering data engineering/data science projects in Industry 4.0 is an added advantage. Knowledge of Palantir is required. You must possess strong problem-solving skills with a focus on sustainable and reusable development. Proficiency in using statistical computer languages like Python/PySpark, Pandas, Numpy, seaborn/matplotlib is necessary. Knowledge in Streamlit.io is a plus. Familiarity with Scala, GoLang, Java, and big data tools such as Hadoop, Spark, Kafka is beneficial. Experience with relational databases like Microsoft SQL Server, MySQL, PostGreSQL, Oracle, and NoSQL databases including Hadoop, Cassandra, MongoDB is expected. Proficiency in data pipeline and workflow management tools like Azkaban, Luigi, Airflow is required. Experience in building and optimizing big data pipelines, architectures, and data sets is crucial. You should possess strong analytical skills related to working with unstructured datasets. Provide innovative solutions to data engineering problems, document technology choices, and integration patterns. Apply best practices for project delivery with clean code. Demonstrate innovation and proactiveness in meeting project requirements. Reporting to: Director- Intelligent Insights and Data Strategy Travel: Must be willing to be deployed at client locations worldwide for long and short terms, flexible for shorter durations within India and abroad.,

You are a highly skilled, detail-oriented, and motivated Python DQ Automation Developer who will be responsible for designing, developing, and maintaining data quality automation solutions using Python. With a deep understanding of data quality principles, proficiency in Python, and experience in data processing and analysis, you will play a crucial role in ensuring accurate and timely data integration and transformation. Your key responsibilities will include designing, developing, and implementing data quality automation processes and solutions to identify, measure, and improve data quality. You will write and optimize Python scripts using libraries such as Pandas, NumPy, and PySpark for data manipulation and processing. Additionally, you will develop and enhance ETL processes, analyze data sets to identify data quality issues, and develop and execute test plans to validate the effectiveness of data quality solutions. As a part of the team, you will maintain comprehensive documentation of data quality processes, procedures, and standards, and collaborate closely with data analysts, data engineers, DQ testers, and other stakeholders to understand data requirements and deliver high-quality data solutions. Required Skills: - Proficiency in Python and related libraries (Pandas, NumPy, PySpark, pyTest). - Experience with data quality tools and frameworks. - Strong understanding of ETL processes and data integration. - Familiarity with data governance and data management principles. - Excellent analytical and problem-solving skills with a keen attention to detail. - Strong verbal and written communication skills to explain technical concepts to non-technical stakeholders. - Ability to work effectively both independently and as part of a team. Qualifications: - Bachelor's degree in computer science or Information Technology. An advanced degree is a plus. - Minimum of 7 years of experience in data quality automation and Python Development. - Proven experience with Python libraries for data processing and analysis. Citi is an equal opportunity and affirmative action employer, encouraging all qualified and interested applicants to apply for career opportunities. If you require a reasonable accommodation due to a disability, please review Accessibility at Citi.,

As a Computer Vision Intern at our AI research and development team in Hyderabad, you will play a crucial role in building intelligent systems utilizing cutting-edge computer vision techniques. Your primary responsibilities will involve developing and optimizing computer vision models for tasks including object detection, tracking, segmentation, and image classification. You will have the opportunity to work with annotated datasets, preprocess and augment data for vision pipelines, and integrate vision models with Large Language Models (LLMs) for multimodal applications. To excel in this role, you should be currently pursuing or have recently completed a degree in Computer Science, AI, Data Science, or related fields. A strong understanding of deep learning fundamentals and computer vision techniques is essential. Proficiency in Python and experience with libraries such as OpenCV, NumPy, TensorFlow, or PyTorch are required. Moreover, familiarity with LLMs (e.g., GPT, BERT), Retrieval-Augmented Generation (RAG) architecture, agentic frameworks, or Generative AI tools would be advantageous. Your role will also involve contributing to the design and prototyping of RAG-based workflows that combine vision data with large language models. Additionally, you will explore Generative AI approaches for synthetic data generation and enhancement. Your problem-solving skills, curiosity, and eagerness to learn new technologies will be key assets in this position. If you are passionate about leveraging vision and language technologies to create next-gen AI applications and are excited about joining an innovative team, we encourage you to apply for this position. Join us in our mission to explore and implement the latest advancements in AI. Apply now and be part of our awesome squad!,

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing... We are seeking a visionary and technically strong Senior AI Architect to join our Billing IT organization in driving innovation at the intersection of telecom billing, customer experience, and artificial intelligence. This leadership role will be pivotal in designing, developing, and scaling AI-led solutions that redefine how we bill our customers, improve their billing experience, and derive actionable insights from billing data. You will work closely with cross-functional teams to lead initiatives that transform customer-facing systems, backend data platforms, and software development practices through modern AI technologies. Key Responsibilities Customer Experience Innovation: Designing and implementing AI-driven enhancements to improve telecom customer experience, particularly in the billing domain. Leading end-to-end initiatives that personalize, simplify, and demystify billing interactions for customers. AI Tools and Platforms: Evaluating and implementing cutting-edge AI/ML models, LLMs, SLMs, and AI-powered solutions for use across the billing ecosystem. Developing prototypes and production-grade AI tools to solve real-world customer pain points. Prompt Engineering & Applied AI: Exhibiting deep expertise in prompt engineering and advanced LLM usage to build conversational tools, intelligent agents, and self-service experiences for customers and support teams. Partnering with design and development teams to build intuitive AI interfaces and utilities. AI Pair Programming Leadership: Demonstrating hands-on experience with AI-assisted development tools (e.g., GitHub Copilot, Codeium). Driving adoption of such tools across development teams, track measurable productivity improvements, and integrate into SDLC pipelines. Data-Driven Insight Generation: Leading large-scale data analysis initiatives using AI/ML methods to generate meaningful business insights, predict customer behavior, and prevent billing-related issues. Establishing feedback loops between customer behavior and billing system design. Thought Leadership & Strategy: Acting as a thought leader in AI and customer experience within the organization. Staying abreast of trends in AI and telecom customer experience; regularly benchmark internal initiatives with industry best practices. Architectural Excellence: Owning and evolve the technical architecture of AI-driven billing capabilities, ensuring scalability, performance, security, and maintainability. Collaborating with enterprise architects and domain leads to align with broader IT and digital transformation goals. Telecom Billing Domain Expertise: Bring deep understanding of telecom billing functions, processes, and IT architectures, including usage processing, rating, billing cycles, invoice generation, adjustments, and revenue assurance. Providing architectural guidance to ensure AI and analytics solutions are well integrated into core billing platforms with minimal operational risk. Where you'll be working... In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. What We’re Looking For... You’re energized by the prospect of putting your advanced expertise to work as one of the most senior members of the team. You’re motivated by working on groundbreaking technologies to have an impact on people’s lives. You’ll Need To Have Bachelor’s degree or four or more years of work experience. Six or more years of relevant experience required, demonstrated through one or a combination of work Strong understanding of AI/ML concepts, including generative AI, LLMs (Large Language Models) etc with the ability to evaluate and apply them to solve real-world problems in telecom and billing. Familiarity with industry-leading AI models and platforms (e.g., OpenAI GPT, Google Gemini, Microsoft Phi, Meta LLaMA, AWS Bedrock), and understanding of their comparative strengths, pricing models, and applicability. Ability to scan and interpret AI industry trends, identify emerging tools, and match them to business use cases (e.g., bill explainability, predictive analytics, anomaly detection, agent assist). Skilled in adopting and integrating third-party AI tools—rather than building from scratch—into existing IT systems, ensuring fit-for-purpose usage with strong ROI. Experience working with AI product vendors, evaluating PoCs, and influencing make-buy decisions for AI capabilities. Comfortable guiding cross-functional teams (tech, product, operations) on where and how to apply AI tools, including identifying appropriate use cases and measuring impact. Deep expertise in writing effective and optimized prompts across various LLMs. Knowledge of prompt chaining, tool-use prompting, function calling, embedding techniques, and vector search optimization. Ability to mentor others on best practices for LLM prompt engineering and prompt tuning. In-depth understanding of telecom billing functions: mediation, rating, charging, invoicing, adjustments, discounts, taxes, collections, and dispute management. Strong grasp of billing SLAs, accuracy metrics, and compliance requirements in a telcom environment. Proven ability to define and evolve cloud-native, microservices-based architectures with AI components. Deep understanding of software engineering practices including modular design, API-first development, testing automation, and observability. Experience in designing scalable, resilient systems for high-volume data pipelines and customer interactions. Demonstrated hands-on use of tools like GitHub Copilot, Codeium, AWS CodeWhisperer, etc. Strong track record in scaling adoption of AI pair programming tools across engineering teams. Ability to quantify productivity improvements and integrate tooling into CI/CD pipelines. Skilled in working with large-scale structured and unstructured billing and customer data. Proficiency in tools like SQL, Python (Pandas, NumPy), Spark, and data visualization platforms (e.g., Power BI, Tableau). Experience designing and operationalizing AI/ML models to derive billing insights, detect anomalies, or improve revenue assurance. Excellent ability to translate complex technical concepts to business stakeholders. Influential leadership with a track record of driving innovation, change management, and cross-functional collaboration. Ability to coach and mentor engineers, analysts, and product owners on AI technologies and best practices. Keen awareness of emerging AI trends, vendor platforms, open-source initiatives, and market best practices. Active engagement in AI communities, publications, or proof-of-concept experimentation. Even better if you have one or more of the following: A master’s degree If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

About This Role Wells Fargo is seeking a Lead Software Engineer. In This Role, You Will Lead complex technology initiatives including those that are companywide with broad impact Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines Design, code, test, debug, and document for projects and programs Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals Lead projects, teams, or serve as a peer mentor Required Qualifications: 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education. Desired Qualifications: 5+ years in strong engineering skills. Expertise in Python, PySpark, and Object-oriented programming. Strong experience in designing and building Rest APIs using python (Django Rest Framework is added advantage). Excellent experience with AirFlow DAGs, workflow orchestration Experience with Multiprocessing, Multithreading, asynchronous modules and building asynchronous APIs. Good experience with Kubernetes to build open shift container platform . Excellent troubleshooting and debugging skills Collaborate strongly with business teams to understand the business problems and provide technical solutions Design and build reusable solutions in data work stream of model development life cycle. Strong in data science python libraries like Pandas, NumPy, Pyarrow, SciPy. Solid understanding of distributed computing and GCP Good skills in PySpark, Object storage and distributed computing. Good banking domain skills and depth knowledge in risk domain. Good understanding of data models, relationship among the data. Strong analytical and problem-solving skills. Experience in source control using GitHub. Excellent verbal, written, and interpersonal communication skills Should possess excellent communication skills, able to multitask and have a great team spirit. Bachelor's degree in engineering (CS/Math/Electronics/Electricals) from top universities like IIT, NIT and other reputed institutes. Should be able to take ownership and accountability. Should have good leadership skills to collaborate and add value at enterprise solution. Job Expectations: Agile/Scrum software development methodologies and processes Understanding of Python code automatic deployment process ( GitHub actions, Harness ) Good end to end understanding of platform build and maintenance Understanding the python-based IDEs like pycharm, Visual studio code and Jupyter notebook etc Good understanding of Kafka and RabbitMQ Understanding GenAI use cases, identify and automate them in the project. Risk models understanding and rewrite them effectively using Python technology Lead discussion with business, architect team, and other partners to understand the business problems and provide technical solution Quickly assess different tools and present the right tools for the business use cases pros and cons. Design and develop the technical solution using Python, PySpark, Openshift container platform (OCP), GCP CICD pipelines, GITHUB etc Design and maintain operational databases for a application metadata, airflow metadata, iceberg catalog metadata Own and led complex and critical modules in data exchange ( Ingress and Egress) Strong experience using the development ecosystem of applications (JIRA, ALM, GitHub, uDeploy(Urban Code Deploy), Jenkins, Artifactory, SVN, etc...) Posting End Date: 27 Jul 2025 Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants With Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment And Hiring Requirements Third-Party recordings are prohibited unless authorized by Wells Fargo. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process. Reference Number R-473957

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing... We are seeking a visionary and technically strong Senior AI Architect to join our Billing IT organization in driving innovation at the intersection of telecom billing, customer experience, and artificial intelligence. This leadership role will be pivotal in designing, developing, and scaling AI-led solutions that redefine how we bill our customers, improve their billing experience, and derive actionable insights from billing data. You will work closely with cross-functional teams to lead initiatives that transform customer-facing systems, backend data platforms, and software development practices through modern AI technologies. Key Responsibilities Customer Experience Innovation: Designing and implementing AI-driven enhancements to improve telecom customer experience, particularly in the billing domain. Leading end-to-end initiatives that personalize, simplify, and demystify billing interactions for customers. AI Tools and Platforms: Evaluating and implementing cutting-edge AI/ML models, LLMs, SLMs, and AI-powered solutions for use across the billing ecosystem. Developing prototypes and production-grade AI tools to solve real-world customer pain points. Prompt Engineering & Applied AI: Exhibiting deep expertise in prompt engineering and advanced LLM usage to build conversational tools, intelligent agents, and self-service experiences for customers and support teams. Partnering with design and development teams to build intuitive AI interfaces and utilities. AI Pair Programming Leadership: Demonstrating hands-on experience with AI-assisted development tools (e.g., GitHub Copilot, Codeium). Driving adoption of such tools across development teams, track measurable productivity improvements, and integrate into SDLC pipelines. Data-Driven Insight Generation: Leading large-scale data analysis initiatives using AI/ML methods to generate meaningful business insights, predict customer behavior, and prevent billing-related issues. Establishing feedback loops between customer behavior and billing system design. Thought Leadership & Strategy: Acting as a thought leader in AI and customer experience within the organization. Staying abreast of trends in AI and telecom customer experience; regularly benchmark internal initiatives with industry best practices. Architectural Excellence: Owning and evolve the technical architecture of AI-driven billing capabilities, ensuring scalability, performance, security, and maintainability. Collaborating with enterprise architects and domain leads to align with broader IT and digital transformation goals. Telecom Billing Domain Expertise: Bring deep understanding of telecom billing functions, processes, and IT architectures, including usage processing, rating, billing cycles, invoice generation, adjustments, and revenue assurance. Providing architectural guidance to ensure AI and analytics solutions are well integrated into core billing platforms with minimal operational risk. Where you'll be working... In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. What We’re Looking For... You’re energized by the prospect of putting your advanced expertise to work as one of the most senior members of the team. You’re motivated by working on groundbreaking technologies to have an impact on people’s lives. You’ll Need To Have Bachelor’s degree or four or more years of work experience. Six or more years of relevant experience required, demonstrated through one or a combination of work Strong understanding of AI/ML concepts, including generative AI, LLMs (Large Language Models) etc with the ability to evaluate and apply them to solve real-world problems in telecom and billing. Familiarity with industry-leading AI models and platforms (e.g., OpenAI GPT, Google Gemini, Microsoft Phi, Meta LLaMA, AWS Bedrock), and understanding of their comparative strengths, pricing models, and applicability. Ability to scan and interpret AI industry trends, identify emerging tools, and match them to business use cases (e.g., bill explainability, predictive analytics, anomaly detection, agent assist). Skilled in adopting and integrating third-party AI tools—rather than building from scratch—into existing IT systems, ensuring fit-for-purpose usage with strong ROI. Experience working with AI product vendors, evaluating PoCs, and influencing make-buy decisions for AI capabilities. Comfortable guiding cross-functional teams (tech, product, operations) on where and how to apply AI tools, including identifying appropriate use cases and measuring impact. Deep expertise in writing effective and optimized prompts across various LLMs. Knowledge of prompt chaining, tool-use prompting, function calling, embedding techniques, and vector search optimization. Ability to mentor others on best practices for LLM prompt engineering and prompt tuning. In-depth understanding of telecom billing functions: mediation, rating, charging, invoicing, adjustments, discounts, taxes, collections, and dispute management. Strong grasp of billing SLAs, accuracy metrics, and compliance requirements in a telcom environment. Proven ability to define and evolve cloud-native, microservices-based architectures with AI components. Deep understanding of software engineering practices including modular design, API-first development, testing automation, and observability. Experience in designing scalable, resilient systems for high-volume data pipelines and customer interactions. Demonstrated hands-on use of tools like GitHub Copilot, Codeium, AWS CodeWhisperer, etc. Strong track record in scaling adoption of AI pair programming tools across engineering teams. Ability to quantify productivity improvements and integrate tooling into CI/CD pipelines. Skilled in working with large-scale structured and unstructured billing and customer data. Proficiency in tools like SQL, Python (Pandas, NumPy), Spark, and data visualization platforms (e.g., Power BI, Tableau). Experience designing and operationalizing AI/ML models to derive billing insights, detect anomalies, or improve revenue assurance. Excellent ability to translate complex technical concepts to business stakeholders. Influential leadership with a track record of driving innovation, change management, and cross-functional collaboration. Ability to coach and mentor engineers, analysts, and product owners on AI technologies and best practices. Keen awareness of emerging AI trends, vendor platforms, open-source initiatives, and market best practices. Active engagement in AI communities, publications, or proof-of-concept experimentation. Even better if you have one or more of the following: A master’s degree If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

About ValGenesis ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle. Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences: https://www.youtube.com/watch?v=tASq7Ld0JsQ About The Role We are seeking a highly skilled AI/ML Engineer to join our dynamic team to build the next gen applications for our global customers. If you are a technology enthusiast and highly passionate, we are eager to discuss with you about the potential role. Responsibilities Implement, and deploy Machine Learning solutions to solve complex problems and deliver real business value, ie. revenue, engagement, and customer satisfaction. Collaborate with data product managers, software engineers and SMEs to identify AI/ML opportunities for improving process efficiency. Develop production-grade ML models to enhance customer experience, content recommendation, content generation, and predictive analysis. Monitor and improve model performance via data enhancement, feature engineering, experimentation and online/offline evaluation. Stay up-to-date with the latest in machine learning and artificial intelligence, and influence AI/ML for the Life science industry. Stay up-to-date with the latest in machine learning and artificial intelligence, and influence AI/ML for the Life science industry. Requirements 2 - 4 years of experience in AI/ML engineering, with a track record of handling increasingly complex projects. Strong programming skills in Python, Rust. Experience with Pandas, NumPy, SciPy, OpenCV (for image processing) Experience with ML frameworks, such as scikit-learn, Tensorflow, PyTorch. Experience with GenAI tools, such as Langchain, LlamaIndex, and open source Vector DBs. Experience with one or more Graph DBs - Neo4J, ArangoDB Experience with MLOps platforms, such as Kubeflow or MLFlow. Expertise in one or more of the following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, Sequential Models. Expertise in building, deploying, measuring, and maintaining machine learning models to address real-world problems. Thorough understanding of software product development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices. Excellent written and verbal communication skills and interpersonal skills. Advanced degree in Computer Science, Machine Learning or related field. We’re on a Mission In 2005, we disrupted the life sciences industry by introducing the world’s first digital validation lifecycle management system. ValGenesis VLMS® revolutionized compliance-based corporate validation activities and has remained the industry standard. Today, we continue to push the boundaries of innovation ― enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations. The Team You’ll Join Our customers’ success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity’s quality of life, and we honor that mission. We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done. We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward. We’re in it to win it. We’re on a path to becoming the number one intelligent validation platform in the market, and we won’t settle for anything less than being a market leader. How We Work Our Chennai, Hyderabad and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company. ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.

Role & responsibilities - Strong knowledge in OOPs and creating custom python packages for serverless applications. Strong Knowledge in SQL querying. Hands on experience in AWS services like Lambda, EC2, EMR, S3 and Athena, Batch, Textract and Comprehend. Strong Expertise in extracting text, tables, logos from low quality scanned multipage pdfs (80 - 150 dpi) and Images. Good Understanding in Probability and Statistics concepts and ability to find hidden patterns, relevant insights from the data. Knowledge in applying state of art NLP models like BERT, GPT - x, sciSpacy, Bidirectional LSTMs-CNN, RNN, AWS medical Comprehend for Clinical Named Entity Recognition (NER). Strong Leadership Skills. Deployment of custom trained and prebuilt NER models using AWS Sagemaker. Knowledge in setting up AWS Textract pipeline for large scale text processing using AWS SNS, AWS SQS, Lambda and EC2. Should have Intellectual curiosity to learn new things. ISMS responsibilities should be followed as per company policy. Preferred candidate profile - 3+ years Hands on in Python and data science like tools pandas, NumPy, SciPy, matplotlib and strong exposure in regular expressions. 3+ years Hands on experience in Machine learning algorithms like SVM, CART, Bagging and Boosting algorithms, NLP based ML algorithms and Text mining. Hands on expertise to integrate multiple data sources in a streamlined pipeline.

Technical Expertise: Must Have Proficient in Java (must have ) . Hands-on experience with AWS AI services such as AWS Bedrock and Sagemaker. Good to have Python(good to have) programming with experience in libraries like TensorFlow, PyTorch, NumPy, and Pandas Experience with DevOps practices, including CI/CD pipelines, system monitoring, and troubleshooting in a production environment. Familiarity with other platforms like Google Gemini, and Copilot technologies. Soft Skills: Excellent communication and collaboration skills, with the ability to work effectively with stakeholders across business and technical teams. Strong problem-solving and analytical skills. Ability to work with teams in a dynamic, fast-paced environment. Key Responsibilities: Design, develop, and implement AI and machine learning models using AWS AI services like AWS bedrock and Sagemaker. Fine-tune and optimize AI models for business use cases. Implement Generative AI solutions using AWS Bedrock and Java. Write efficient, clean, and maintainable Java/Python code for AI applications. Develop and deploy RESTful APIs using frameworks like Flask or Django for model integration and consumption. Experience: 5 to 8 years of experience in software development, with 3+ years in AI/ML or Generative AI projects. Demonstrated experience in deploying and managing AI applications in production environments. Mandatory Competencies Programming Language - Java - Core Java (java 8+) Data Science and Machine Learning - Data Science and Machine Learning - Gen AI Data Science and Machine Learning - Data Science and Machine Learning - Python Beh - Communication and collaboration Cloud - AWS - AWS Lambda,AWS EventBridge, AWS Fargate Middleware - API Middleware - Microservices

Location: Ahmedabad, Gujarat, India (Work From Office ONLY) Experience: 2 - 4 years Salary: ₹35,000 - ₹40,000 per month + Performance Incentives About the Role: As a key member of our US Client/Student Development team, you'll be instrumental in empowering the next generation of data science professionals. Your primary focus will be on: Content Creation: Designing and developing comprehensive and engaging training materials, modules, and exercises covering various aspects of data science. Live Session Delivery: Conducting interactive live online sessions, workshops, and webinars, demonstrating complex data science concepts and practical applications. Mentorship: Providing guidance, support, and constructive feedback to students/clients on their data science projects, helping them understand challenges, refine models, and build practical skills. Curriculum Development: Collaborating with the team to continuously refine and update data science course curricula based on industry trends, new research, and student feedback. Key Responsibilities: Design and develop high-quality data science course content covering statistical modeling, machine learning algorithms, deep learning fundamentals, and data analysis techniques. Prepare and deliver engaging live sessions on topics such as predictive modeling, natural language processing (NLP), computer vision, time series analysis, and experiment design. Guide and mentor students through real-world data science projects, helping them with data collection, cleaning, feature engineering, model building, evaluation, and interpretation. Simplify complex algorithms and theoretical concepts into easily understandable and actionable insights for a diverse audience. Create practical assignments, case studies, and capstone projects that reinforce learning and develop problem-solving skills. Stay updated with the latest advancements in data science, machine learning, and AI to ensure content relevance. Required Skills & Experience: Experience: 2 to 4 years of hands-on industry experience as a Data Scientist or in a similar analytical role. Communication: Excellent and compulsory English communication skills (both written and verbal) – ability to articulate complex technical concepts clearly and concisely to diverse audiences is paramount. Passion for Teaching: A strong desire and aptitude for training, mentoring, and guiding aspiring data science professionals. Analytical Skills: Strong problem-solving abilities, critical thinking, and a structured approach to breaking down complex data problems. Work Ethic: Highly motivated, proactive, and able to work independently as well as collaboratively in a fast-paced environment. Location Commitment: Must be willing to work from our Ahmedabad office full-time . Required Technical Skills: Proficiency in Python (Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn) and/or R for data manipulation, analysis, and visualization. Strong understanding of Machine Learning algorithms (Regression, Classification, Clustering, Ensemble methods) and their applications. Experience with deep learning frameworks (TensorFlow, Keras, or PyTorch) is a significant plus. Solid SQL skills for data extraction and querying from relational databases. Experience with data visualization tools (e.g., Tableau, Power BI, Looker) or libraries (Matplotlib, Seaborn). Familiarity with cloud platforms (AWS, Azure, GCP) for data science services is a plus. Knowledge of statistical concepts and hypothesis testing. What We Offer: A competitive salary and attractive performance-based incentives . The unique opportunity to directly impact the careers of aspiring tech professionals. A collaborative, innovative, and supportive work environment. Continuous learning and professional growth opportunities in a niche domain. Be a part of a rapidly growing team focused on global client engagement.

We are looking for a skilled Python Developer with expertise in Django to join our team at NextGen Web Services. The ideal candidate will have 1 to 4 years of experience and be available to work remotely. Roles and Responsibility Design, develop, and test software applications using Python and Django. Collaborate with cross-functional teams to identify and prioritize project requirements. Develop high-quality, scalable, and efficient code. Troubleshoot and resolve technical issues efficiently. Participate in code reviews and contribute to improving overall code quality. Stay updated with industry trends and emerging technologies. Job Requirements Proficiency in Python programming language. Experience with Django framework. Strong understanding of software development principles and methodologies. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Strong communication and interpersonal skills. Additional Info The company offers a dynamic and supportive work environment, with opportunities for professional growth and development.

We are looking for a highly skilled AI & ML Engineer with 3 to 5 years of experience to join our team at Stanra Tech Solutions. The ideal candidate will have a strong background in artificial intelligence and machine learning, with excellent problem-solving skills. Roles and Responsibility Design and develop AI and ML models to solve complex problems. Collaborate with cross-functional teams to integrate AI and ML solutions into existing systems. Develop and maintain large-scale data pipelines and architectures. Conduct research and stay updated on the latest trends and technologies in AI and ML. Work closely with stakeholders to understand business requirements and develop tailored solutions. Ensure high-quality code and adhere to best practices. Job Requirements Strong proficiency in programming languages such as Python, Java, or C++. Experience with deep learning frameworks like TensorFlow or PyTorch. Knowledge of computer vision, natural language processing, or reinforcement learning. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Ability to work in a fast-paced environment and meet deadlines.

We are seeking developers who are eager to grow, experiment, and work on challenging technical problems. As an AI/ML Engineer-I at GeekyAnts, you'll be joining a fast-paced environment where you'll contribute to real projects from Day 1 and gain exposure to the latest trends in software engineering and AI. Key Responsibilities Write clean, efficient, and scalable code in Python. Work closely with cross-functional teams to design, develop, and deliver high-quality software solutions. Collaborate with senior developers and team leads for code reviews and knowledge sharing. Continuously learn and adapt to new technologies and frameworks. Contribute to project discussions, documentation, and team activities. Ideal Candidate Profile Technical Skills: Strong grasp of Python programming (Mandatory). Completed a Python course or certification from a recognized institute (Preferred). Basic understanding of Artificial Intelligence or exposure to AI projects is a plus. Familiarity with version control (e.g., Git) and collaborative tools (e.g., Jira, Slack) is appreciated. Soft Skills: Excellent verbal and written communication skills. Strong problem-solving mindset and willingness to take initiative. • Open to feedback and capable of working in a dynamic, team-oriented setting.

Experience - 8 + Years Location - Mumbai , Pune AI/Data Science Lang chain expert skilled in python for creating new chains or fixing existing ones, also leverage ML or Gen AI models for data extraction. Medium Programming Proficiency: Especially in Python (NumPy, Pandas, Scikit-learn), and optionally R or Java Data Lake (Microsoft SQL Server, Azure Cosmos, Azure Data Lake) Machine Learning Algorithms: Supervised, unsupervised, and ensemble methods (e.g., decision trees, SVMs, XGBoost) Cloud Computing Deep Learning: Understanding of neural networks, CNNs, RNNs using frameworks like TensorFlow or PyTorch Data Handling & Preprocessing: Cleaning, transforming, and visualizing large datasets Gen AI, Open AI, AI Search Version Control: Git/GitHub for collaboration and reproducibility Problem Solving & Critical Thinking: Ability to frame business problems as data science tasks

Company Description I Vision Infotech is a full-fledged IT company delivering high-quality, cost-effective, and reliable web and e-commerce solutions. Founded in 2011 and located in India, we serve both domestic and international clients, including those from the USA, Malaysia, Australia, Canada, and the United Kingdom. We offer a wide range of services in web design, development, e-commerce, and mobile app development across various platforms such as Android, iOS, Windows, and Blackberry. Role Description This is a full-time on-site role for a Python Developer – Data Science & Django, located in Ahmedabad. The Python Developer will be responsible for developing back-end web applications, writing efficient and maintainable code, and collaborating with cross-functional teams to integrate user-facing elements with server-side logic. Day-to-day tasks include designing, developing, and maintaining software applications and databases, ensuring high performance and responsiveness. The role involves object-oriented programming, software development, and working closely with data science teams to implement and optimize data-driven solutions. Key Responsibilities Write clean and efficient Python code Develop web applications using Django Work on data collection, processing, and visualization using Pandas/Numpy/Matplotlib Build REST APIs using Django REST Framework Collaborate with the team for real-world project deployments Required Skills Strong knowledge of Python programming Basic understanding of data science libraries (Pandas, NumPy, Matplotlib, Scikit-learn) Hands-on experience with Django or Django REST Framework Understanding of HTML, CSS, JavaScript (Basic level) Knowledge of Git is a plus B.E/B.tech/BCA/MCA/BSc/MSc (CS/IT) or equivalent Perks And Benefits Real-time project exposure Internship/Training certificate Flexible working hours Skills:- Python

You will be responsible for the deployment and maintenance of the group data science platform infrastructure, on which data science pipelines are deployed and scaled. To achieve this, you will collaborate with Data Scientists and Data Engineers from various business lines and the Global Technology Service infrastructure team (GTS). Roles : Implement techniques and processes for supporting the development and scaling of data science pipelines. Industrialize inference, retraining, monitoring data science pipelines, ensuring their maintainability and compliance. Provide platform support to end-users. Be attentive to the needs and requirements expressed by the end-users. Anticipate needs and necessary developments for the platform. Work closely with Data Scientists, Data Engineers, and business stakeholders. Stay updated and demonstrate a keen interest in the ML OPS domain. Environment : Cloud on-premise, AZure Python, Kubernetes Integrated vendor solutions: Dataiku, Snowflake DB: PostGreSQL Distributed computing: Spark Big Data: Hadoop, S3/Scality, MAPR Datascience: Scikit-learn, Transformers, ML Flow, Kedro, DevOps, CI/CD: JFROG, Harbor, Github Actions, Jenkins Monitoring: Elastic Search/Kibana, Grafana, Zabbix Agile ceremonies: PI planning, Sprint, Sprint Review, Refinement, Retrospectives, ITIL framework Technical Skills : Python FastApi, SqlAlchemy Numpy, Pandas, Scikit-learn, Transformers Kubernetes, Docker Pytest CI/CD: Jenkins, Ansible, GitHub Action, Harbor, Docker Soft Skills : Client Focus: Demonstrate strong listening skills, understanding, and anticipation of user needs. Team Spirit: Organize collaboration, workshops to find the best solutions. Share expertise with colleagues to find the most suitable solutions. Innovation: Propose innovative ideas, solutions, or strategies, and think out the box. Prefer simplicity over complexity. Responsibility: Take ownership, keep commitments and respect deadlines

Developing Image Processing/Computer Vision Applications to be deployed in Vision Inspection. More specifically: Write OpenCV applications in C++ for dimensional and surface inspection. Train DL models for surface inspection in cases where traditional OpenCV / C++ is not viable. Additional Responsibilities: Developing and optimizing OpenCV applications for embedded devices (raspberry PI). Assist in developing DL models for the inhouse DL cloud platform. Educational Qualification B. E/ B. Tech in Any Specialization. Skills Python. C++. OpenCV. Linux. PyTorch/TensorFlow. Who can apply Are available for the full time employment with one year contract. Can start immediately. Have relevant skills and interests. Perks: Certificate. Letter of recommendation. Job offer. Group Health Insurance. Incentives and Bonus as per HR policy.

Job Title: Data Scientist / MLOps Engineer (Python, PostgreSQL, MSSQL) Location: Kolkata (Must) Employment Type: Full-Time Experience Level: 1–3 Years About Us: We are seeking a highly motivated and technically strong Data Scientist / MLOps Engineer to join our growing AI & ML team. This role involves the design, development, and deployment of scalable machine learning solutions, with a strong focus on operational excellence, data engineering, and GenAI integration. Key Responsibilities: Build and maintain scalable machine learning pipelines using Python. Deploy and monitor models using MLFlow and MLOps stacks. Design and implement data workflows using standard python libraries such as PySpark. Leverage standard data science libraries (scikit-learn, pandas, numpy, matplotlib, etc.) for model development and evaluation. Work with GenAI technologies, including Azure OpenAI and other open source models, for innovative ML applications. Collaborate closely with cross-functional teams to meet business objectives. Handle multiple ML projects simultaneously with robust branching expertise. Must-Have Qualifications: Expertise in Python for data science and backend development. Solid experience with PostgreSQL and MSSQL databases. Hands-on experience with standard data science packages such as Scikit-Learn, Pandas, Numpy, Matplotlib. Experience working with Databricks , MLFlow , and Azure . Strong understanding of MLOps frameworks and deployment automation. Prior exposure to FastAPI and GenAI tools like Langchain or Azure OpenAI is a big plus. Preferred Qualifications: Experience in the Finance, Legal or Regulatory domain. Working knowledge of clustering algorithms and forecasting techniques. Previous experience in developing reusable AI frameworks or productized ML solutions. Education: B.Tech in Computer Science, Data Science, Mechanical Engineering, or a related field. Why Join Us? Work on cutting-edge ML and GenAI projects. Be part of a collaborative and forward-thinking team. Opportunity for rapid growth and technical leadership. Job Type: Full-time Pay: ₹344,590.33 - ₹1,050,111.38 per year Benefits: Leave encashment Paid sick time Paid time off Provident Fund Work from home Education: Bachelor's (Required) Experience: Python: 3 years (Required) ML: 2 years (Required) Location: Kolkata, West Bengal (Required) Work Location: In person Application Deadline: 02/08/2025 Expected Start Date: 04/08/2025

Hello Greetings from NewVision Software!! We are hiring on an immediate basis for the role of Senior / Lead Python Developer + AWS | NewVision Software | Pune, Hyderabad & Bhopal Location | Fulltime Looking for professionals who can join us Immediately or within 15 days is preferred. Please find the job details and description below. NewVision Software PUNE HQ OFFICE 701 &702, Pentagon Tower, P1, Magarpatta City, Hadapsar, Pune, Maharashtra - 411028, India NewVision Software The Hive Corporate Capital, Financial District, Nanakaramguda, Telangana - 500032 NewVision Software IT Plaza, E-8, Bawadiya Kalan Main Rd, near Aura Mall, Gulmohar, Fortune Pride, Shahpura, Bhopal, Madhya Pradesh - 462039 Senior Python and AWS Developer Role Overview: We are looking for a skilled senior Python Developer with strong background in AWS cloud services to join our team. The ideal candidate will be responsible for designing, developing, and maintaining robust backend systems, ensuring high performance and responsiveness to requests from the front end. Responsibilities : Develop, test, and maintain scalable web applications using Python and Django. Design and manage relational databases with PostgreSQL, including schema design and optimization. Build RESTful APIs and integrate with third-party services as needed. Work with AWS services including EC2, EKS, ECR, S3, Glue, Step Functions, EventBridge Rules, Lambda, SQS, SNS, and RDS. Collaborate with front-end developers to deliver seamless end-to-end solutions. Write clean, efficient, and well-documented code following best practices. Implement security and data protection measures in applications. Optimize application performance and troubleshoot issues as they arise. Participate in code reviews, testing, and continuous integration processes. Stay current with the latest trends and advancements in Python, Django, and database technologies. Mentor junior python developers. Requirements : 6+ years of professional experience in Python development. Strong proficiency with Django web framework. Experience working with PostgreSQL, including complex queries and performance tuning. Familiarity with RESTful API design and integration. Strong understanding of OOP, SOLID principles, and design patterns. Strong knowledge of Python multithreading and multiprocessing. Experience with AWS services: S3, Glue, Step Functions, EventBridge Rules, Lambda, SQS, SNS, IAM, Secret Manager, KMS and RDS. Understanding of version control systems (Git). Knowledge of security best practices and application deployment. Basic understanding of Microservices architecture. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Nice to Have Experience with Docker, Kubernetes, or other containerization tools. Good to have front-end technologies (React). Experience with CI/CD pipelines and DevOps practices. Experience with infrastructure as code tools like Terraform. Education : Bachelors degree in computer science engineering or related field (or equivalent experience). Do share your resume with my email address: imran.basha@newvision-software.com Please share your experience details: Total Experience: Relevant Experience: Exp: Python: Yrs, AWS: Yrs, PostgreSQL: Yrs Rest API: Yrs, Django: Current CTC: Expected CTC: Notice / Serving (LWD): Any Offer in hand: LPA Current Location Preferred Location: Education: Please share your resume and the above details for Hiring Process: - imran.basha@newvision-software.com