As a Senior Speech Engineer you will be responsible for development of the speech recognition systems. Responsibilities: Development of ASR systems using Kaldi, ESPnet and/or using PyTorch or Tensorflow. Work towards improvement of the existing systems. Development of E2E ASR systems with un-supervised / semi-supervised techniques. Experimenting with the latest technologies and architectures. Requirements: 3-5 Years of work experience. At least 1 years of hands-on experience developing Speech Recognition systems using Kaldi, ESPNET, PyTorch Kaldi, DeepSpeech etc. Strong programming experience in Python and/or C/C++. Strong analytical skills and problem solving skills. Basic understanding of machine learning techniques. Good To Have: Understanding of Pandas, Numpy. Understanding of NLU systems. Understanding of Language modeling techniques. Large scale deployment of speech recognition systems.

Dear Candidate, We are looking for a skilled Python Software Developer to design, develop, and optimize high-performance applications. You will work on building scalable back-end services, APIs, and data-driven applications while ensuring code quality and efficiency. If you are passionate about Python development, cloud technologies, and automation , wed love to hear from you! Key Responsibilities: Develop, test, and maintain backend applications and RESTful APIs using Python. Work with Django, Flask, or FastAPI frameworks to build scalable web applications. Optimize performance, security, and scalability of applications. Integrate third-party services, APIs, and data pipelines. Work with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis). Implement authentication and authorization mechanisms (JWT, OAuth, LDAP). Write clean, maintainable, and well-documented code following best practices. Conduct unit testing and test-driven development (TDD) using PyTest or Unittest. Implement CI/CD pipelines and automation for efficient deployments. Collaborate with DevOps teams to deploy applications on AWS, Azure, or GCP . Stay updated with Python libraries, frameworks, and industry trends . Required Skills & Qualifications: Strong proficiency in Python and object-oriented programming (OOP) . Experience with Django, Flask, or FastAPI for web application development. Familiarity with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis). Knowledge of RESTful APIs, GraphQL, and WebSockets . Experience with Docker and Kubernetes for containerized deployments. Hands-on experience with cloud platforms (AWS, GCP, or Azure). Strong understanding of data structures, algorithms, and system design . Experience with Celery, RabbitMQ, or Kafka for background task processing. Proficiency in Git and version control workflows (GitHub, GitLab, Bitbucket). Familiarity with CI/CD pipelines and automation (Jenkins, GitHub Actions, Azure DevOps). Strong problem-solving, debugging, and analytical skills. Soft Skills: Strong problem-solving and analytical skills. Excellent communication skills to work with cross-functional teams. Ability to work independently and as part of a team. Detail-oriented with a focus on delivering high-quality solutions Note: If you are interested, please share your updated resume and suggest the best number & time to connect with you. If your resume is shortlisted, one of the HR from my team will contact you as soon as possible. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

Description Looking for 5 to 8yrs of exp ones Proficient in Python coding, Must have exp on DevOps tools like Jenkins, Terraform. Shell Scripting is good to have Named Job Posting? (if Yes - needs to be approved by SCSC) Additional Details Global Grade C Level To Be Defined Named Job Posting? (if Yes - needs to be approved by SCSC) No Remote work possibility No Global Role Family To be defined Local Role Name To be defined Local Skills CICD;Python;HashiCorp Terraform Languages RequiredENGLISH Role Rarity To Be Defined

As a Data Engineer at IBM, you'll play a vital role in the development, design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. Your primary responsibilities include: Lead the design and construction of new solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience with Apache Spark (PySpark): In-depth knowledge of Sparks architecture, core APIs, and PySpark for distributed data processing. Big Data Technologies: Familiarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills: Strong understanding of ETL pipelines, data modeling, and data warehousing concepts. Strong proficiency in Python: Expertise in Python programming with a focus on data processing and manipulation. Data Processing Frameworks: Knowledge of data processing libraries such as Pandas, NumPy. SQL Proficiency: Experience writing optimized SQL queries for large-scale data analysis and transformation. Cloud Platforms: Experience working with cloud platforms like AWS, Azure, or GCP, including using cloud storage systems Preferred technical and professional experience Define, drive, and implement an architecture strategy and standards for end-to-end monitoring. Partner with the rest of the technology teams including application development, enterprise architecture, testing services, network engineering, Good to have detection and prevention tools for Company products and Platform and customer-facing

About the role: Data Science @Navi: At Navi, our Data Science team is the powerhouse behind scalable and efficient solutions that span across a broad spectrum of fintech sectorsbe it lending, insurance, investments, or UPI. We're not just a team; we're the architects of the future of fintech We're not just keeping up with innovation; we're setting the pace. Our team is constantly pushing the boundaries, introducing groundbreaking methods that amplify business growth, enhance customer experiences, and streamline operational processes. Our work isn't confined to a single domain. We tackle a diverse set of problem statements, from computer vision and tabular data to natural language processing, speech recognition, and even Generative AI. Each day brings a new challenge and a new opportunity for breakthroughs. When you join us, you're not just taking a job; you're becoming a part of a movement. A movement that's making a tangible difference in the fintech landscape, one innovative solution at a time. Ready for a transformative career journey? Join us at Navi and be a part of a team that's shaping the future of fintech. What you gain by working with the Data Science team at Navi: Join the Navi Data Science team for: Own Your Journey from Start to Finish : Take pride in having full-cycle ownership of your projects. You won't just be a cog in the machine; you'll be the architect, designer, and implementer of cutting-edge Data Science solutions that drive our business forward. Immerse Yourself in a Data Wonderland : Welcome to a playground where data is abundant and limitations are few. Our high-growth, agile environment offers a treasure trove of data, giving you the freedom to experiment, innovate, and make data-driven decisions that matter. Be Part of a Synergistic Dream Team : Collaborate with a diverse group of high-performing professionals who are as passionate about data science as you are. Our culture fosters continuous learning and upskilling, setting you up for ongoing success and career growth. Make a Tangible Impact : Your work won't just sit on a shelf; it will make waves. By closely collaborating with stakeholders across departments, you'll have the opportunity to design and develop data science solutions that not only solve complex problems but also make a meaningful impact on our company and the fintech industry at large What we are looking for: Bachelor's or Master's in Engineering or equivalent. 2+ years of Data Science/Machine Learning experience. Strong knowledge in statistics, tree-based techniques (e.g., Random Forests, XGBoost), machine learning (e.g., MLP, SVM), inference, hypothesis testing, simulations, and optimizations. Bonus: Experience with deep learning techniques; experience in working Ad domain/reinforcement learning. Strong Python programming skills and experience in building Data Pipelines in PySpark, along with feature engineering. Proficiency in pandas, scikit-learn, Scala, SQL, and familiarity with TensorFlow/PyTorch. Understanding of DevOps/MLOps, including creating Docker containers and deploying to production (using platforms like Databricks or Kubernetes). Submit Your Application You have successfully applied You have errors in applying Apply With Resume * First Name * Middle Name Last Name * Email * Mobile Phone Social Network and Web Links Provide us with links to see some of your work (Git/ Dribble/ Behance/ Pinterest/ Blog/ Medium)

Job Profile:- Looking for 3-6 years of experience in AI/ML * Knowledge on AI/ML * Understanding of AI concepts, including machine learning, deep learning, NLP * Good understanding of Python, Pytorch, NumPy, TensorFlow, Pandas * Experience in SQL and database management * Experience working with Git, Jira * Strong communication and problem-solving skills We are seeking a skilled and motivated Artificial Intelligence/Machine Learning Engineer (AI/ML) to develop and deploy machine learning models and algorithms. And also preprocessing data to prepare it for analysis and model training. Key Skills: AI/ML, Python, Pytorch, NumPy, TensorFlow, Pandas, SQL Database

Responsibilities: Plan and design Python-based microservices as per given requirements. Write scalable and efficient code while managing co-workers, juniors, and cross-team communication for timely delivery. Conduct code reviews and manage development deployments. Provide support for UAT and production deployments. Participate in client calls and handle grievances related to built services. Work in an Agile development environment, following best practices. Stay updated with the latest technology trends in software and hardware and be capable of working across multiple technologies. Requirements: Must-Have: Languages & Frameworks: Python, FastAPI, Django, familiarity with web frameworks for development. Databases: PostgreSQL (schema designing, CRUD operations, ORM), Elasticsearch (loading/unloading data, query building), Redis. Workflow Automation & Broker: Working knowledge of Apache Airflow and Kafka. Cloud & DevOps: AWS S3, EC2, Docker, Docker-Compose. Soft Skills: Strong communication skills (English, Hindi), ability to create flow diagrams, UML diagrams, and deliver technical presentations. Development Methodologies: Experience working in an Agile environment. Good to Have: Languages & Frameworks: Java, Spring Boot. Databases: MongoDB. Cloud Services: AWS Lambda. AI/ML & Big Data: Experience with Machine Learning libraries and frameworks (TensorFlow, PyTorch, Keras). Strong understanding of Data Structures, Algorithms, and Software Engineering principles. Familiarity with Natural Language Processing (NLP) tools (SpaCy, NLTK, Hugging Face). Working knowledge of Spark with PySpark for big data processing.

We are looking for an enthusiastic RPA & Intelligent Automation professional to join the ranks of our newly founded CoE. Help us meet increasing demand from the business, support our rapidly growing portfolio of automation and make an impact across every business area at Booking.com. We look at our team as a service provider for the entire company, operating with a large degree of autonomy and enterpreneurship . B.Responsible Naturally oriented towards improving efficiencies. Seeking accountability from themselves and others. Compassionate collaborator with a deep sense of comradery. Willingness to be cross-functional, pick up new skills and cover new ground with/for the team. Striving for continuous improvement and high quality in their work. Strong work ethic and high spirit. Keen to understand and solve real world problems through technology. B.Skilled 2-3 years of experience developing in Blue Prism CS, Engineering or similar university background is a MUST HAVE Blue Prism certification is a MUST HAVE Knowledge of Blue Prisms architectural/infrastructure components Proficiency in core Python libraries like pandas,NumPy etc Exposure to AI/ML frameworks like Tensorflow,PyTorch,scikit learn etc Understanding of NLP techniques like text summarization,sentiment analysis,Named entity recognition etc is good to have In-depth understanding of AWS components RDS, EC2, S3, IAM, CloudWatch, Lambda,Sagemaker, VPC is good to have Experience with VAULT, PASSPORT, Gitlab for UAM / Config Management Exposure to Terraform code for deploying AWS services is good to have Professional experience with SQL, .NET, C#, HTTP APIs and Web Services Experience designing, developing, deploying and maintaining software Experience working in a scrum/agile environment Excellent communication skills in English

Data Science @Navi: At Navi, our Data Science team is the powerhouse behind scalable and efficient solutions that span across a broad spectrum of fintech sectorsbe it lending, insurance, investments, or UPI. We're not just a team; we're the architects of the future of fintech. We're not just keeping up with innovation; we're setting the pace. Our team is constantly pushing the boundaries, introducing groundbreaking methods that amplify business growth, enhance customer experiences, and streamline operational processes. Our work isn't confined to a single domain. We tackle a diverse set of problem statements, from computer vision and tabular data to natural language processing, speech recognition, and even Generative AI. Each day brings a new challenge and a new opportunity for breakthroughs. When you join us, you're not just taking a job; you're becoming a part of a movement. A movement that's making a tangible difference in the fintech landscape, one innovative solution at a time. What you gain by working with the Data Science team at Navi: Own Your Journey from Start to Finish: Take pride in having full-cycle ownership of your projects. You won't just be a cog in the machine; you'll be the architect, designer, and implementer of cutting-edge Data Science solutions that drive our business forward. Immerse Yourself in a Data Wonderland: Welcome to a playground where data is abundant and limitations are few. Our high-growth, agile environment offers a treasure trove of data, giving you the freedom to experiment, innovate, and make data-driven decisions that matter. Be Part of a Synergistic Dream Team: Collaborate with a diverse group of high-performing professionals who are as passionate about data science as you are. Our culture fosters continuous learning and upskilling, setting you up for ongoing success and career growth. Make a Tangible Impact: Your work won't just sit on a shelf; it will make waves. By closely collaborating with stakeholders across departments, you'll have the opportunity to design and develop data science solutions that not only solve complex problems but also make a meaningful impact on our company and the fintech industry at large Responsibilities : Lead and Develop a High-Impact Team: Lead, manage and mentor a team of data scientists, fostering a culture of continuous learning and professional growth. Guide team members in their project work and support their career development. Will own appraisals , compensation queries and leave management of his direct reports. Set Strategic Vision and Drive Innovation: Set clear goals and expectations for the team and individuals, and regularly assess and improve team performance. Ensure alignment with organizational goals and provide technical direction. Build Strong Cross-Functional Partnerships: Cultivate trusted relationships with stakeholders in business, product, and engineering to identify opportunities, shape initiatives, and ensure successful implementation of data science solutions. Act as a bridge to integrate data science seamlessly into business functions. Implement Industry-Leading Standards for Model Quality and Monitoring: Define robust metrics and quality standards to evaluate model performance and outcomes. Establish and oversee best-in-class model monitoring systems to ensure reliability, scalability, and sustained impact over time. Qualifications : Bachelors or Masters degree in Computer Science, Electrical Engineering, Mathematics, Economics, or another quantitative discipline. Demonstrates a research-oriented mindset with 6+ years of experience in data science or related fields. Strong foundation in statistics, machine learning (e.g., Random Forests, XGBoost, SVMs), and inference techniques, with expertise in hypothesis testing, simulations, and optimization methodologies. Proficiency in applying deep learning algorithms to solve complex data challenges, with hands-on experience in TensorFlow or PyTorch. Skilled in designing, executing, and scaling A/B experiments to validate and optimize data science solutions. Advanced Python programming abilities with extensive experience in building robust data pipelines in PySpark, performing feature engineering, and optimizing data workflows. Deep familiarity with libraries and tools such as pandas, scikit-learn, SQL, and Scala, with additional experience in MLOps frameworks like Docker, Databricks, and Kubernetes for production-grade model deployment. Demonstrated track record in developing and implementing large-scale machine learning solutions that drive business impact. Experience of leading projects with multiple team members / managing team is preferred

We are seeking a talented individual to join our Data Science team at Marsh Mc Lennan. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. We will count on you to: Design and implement data analytics products that utilize web-based technologies to solve complex business problems and drive strategic outcomes. Utilize strong conceptual skills to explore the "Art of the Possible" in analytics, integrating data, market trends, and cutting-edge technologies to inform business strategies. Manage and manipulate large datasets from diverse sources, ensuring data quality through cleaning, consolidation, and transformation into meaningful insights. Conduct exploratory data analysis (EDA) to identify patterns and trends, reporting key metrics and synthesizing disparate datasets for comprehensive insights. Perform rigorous quality assurance (QA) on datasets, ensuring accuracy, logical consistency, and alignment with analytical dashboards. Automate data capture processes from various sources, streamlining data cleaning and insight generation workflows. Apply knowledge of insurance claims, policies, terminologies, health risks, and wellbeing to enhance analytical models and insights. Collaborate with cross-functional teams to develop and deploy machine learning models and predictive analytics solutions. Utilize SQL for database management and data manipulation, with a focus on optimizing queries and data retrieval processes. Develop ETL Automation pipelines using tools such as Python, GenAI and ChatGPT APIs ensuring efficient and optimized code. Communicate complex data-driven solutions clearly and effectively, translating technical findings into actionable business recommendations. Having knowledge around LLM/RAG/Power BI/Tableau will be preferred What you need to have: BE/B Tech in Computer Science or Bachelor/ Masters Degree in Maths or Statistics Up to 4 to 6 years of progressive experience in Data Science team. Hands-on exp. In Python (advance knowledge), GenAI, ChatGPT APIs, Excel(building macros, VBA) - Intermediate and good understanding of BI tools –Qlik Sense or power BI/ Tableau. Proficiency in extracting data from multiple data sources – Web, PDF, Excel or any database with broad working knowledge of methodologies used for analytics is required. What makes you stand out? Degree or Certification in Data Management, Statistics , Analytics and BI tools (Qlik Sense & Tableau) ( would be preferred ) Experience in Healthcare sector, working with Multination clients. Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh McLennan (NYSE: MMC) is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman . With annual revenue of $23 billion and more than 85,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marshmclennan.com , or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

Role Description We are looking for an enthusiastic RPA & Intelligent Automation professional to join the ranks of our newly founded CoE. Help us meet increasing demand from the business, support our rapidly growing portfolio of automation and make an impact across every business area at Booking.com. We look at our team as a service provider for the entire company, operating with a large degree of autonomy and enterpreneurship . B.Responsible Naturally oriented towards improving efficiencies. Seeking accountability from themselves and others. Compassionate collaborator with a deep sense of comradery. Willingness to be cross-functional, pick up new skills and cover new ground with/for the team. Striving for continuous improvement and high quality in their work. Strong work ethic and high spirit. Keen to understand and solve real world problems through technology. B.Skilled 5+ years of experience developing in Blue Prism CS, Engineering or similar university background is a MUST HAVE Blue Prism certification is a MUST HAVE Knowledge of Blue Prisms architectural/infrastructure components Proficiency in core Python libraries like pandas,NumPy etc Exposure to AI/ML frameworks like Tensorflow,PyTorch,scikit learn etc Understanding of NLP techniques like text summarization, sentiment analysis,Named entity recognition etc is good to have In-depth understanding of AWS components RDS, EC2, S3, IAM, CloudWatch, Lambda,Sagemaker, VPC is good to have Experience with VAULT, PASSPORT, Gitlab for UAM / Config Management Exposure to Terraform code for deploying AWS services is good to have Professional experience with SQL, .NET, C#, HTTP APIs and Web Services Experience designing, developing, deploying and maintaining software Experience working in a scrum/agile environment Excellent communication skills in English In return, well provide: Be part of a fast paced environment and performance driven culture Various opportunities to grow technically and personally via side projects, hackathons, conferences and your involvement in the community; Contributing to a high scale, complex, world renowned product and seeing real time impact of your work on millions of travelers worldwide; Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit; Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects.

Role Description We are looking for an enthusiastic RPA & Intelligent Automation professional to join the ranks of our newly founded CoE. Help us meet increasing demand from the business, support our rapidly growing portfolio of automation and make an impact across every business area at Booking.com. We look at our team as a service provider for the entire company, operating with a large degree of autonomy and enterpreneurship . B.Responsible Naturally oriented towards improving efficiencies. Seeking accountability from themselves and others. Compassionate collaborator with a deep sense of comradery. Willingness to be cross-functional, pick up new skills and cover new ground with/for the team. Striving for continuous improvement and high quality in their work. Strong work ethic and high spirit. Keen to understand and solve real world problems through technology. B.Skilled 2-3 years of experience developing in Blue Prism CS, Engineering or similar university background is a MUST HAVE Blue Prism certification is a MUST HAVE Knowledge of Blue Prisms architectural/infrastructure components Proficiency in core Python libraries like pandas,NumPy etc Exposure to AI/ML frameworks like Tensorflow,PyTorch,scikit learn etc Understanding of NLP techniques like text summarization, sentiment analysis,Named entity recognition etc is good to have In-depth understanding of AWS components RDS, EC2, S3, IAM, CloudWatch, Lambda,Sagemaker, VPC is good to have Experience with VAULT, PASSPORT, Gitlab for UAM / Config Management Exposure to Terraform code for deploying AWS services is good to have Professional experience with SQL, .NET, C#, HTTP APIs and Web Services Experience designing, developing, deploying and maintaining software Experience working in a scrum/agile environment Excellent communication skills in English.

Job Overview: We are seeking a highly skilled and experienced Senior Analyst with expertise in SAS and Python to join our analytics team. The ideal candidate will leverage their technical expertise to analyze data, develop models, and provide actionable insights to support business decisions. Key Responsibilities: Data Analysis & Modeling: Perform data extraction, transformation, and analysis using SAS and Python. Develop statistical models and machine learning algorithms to solve business problems. Ensure data integrity, quality, and accuracy during analysis. Business Insights: Generate actionable insights and recommendations based on data analysis. Collaborate with stakeholders to understand business requirements and translate them into analytical solutions. Reporting & Visualization: Automate recurring tasks and reporting processes for efficiency. Team Collaboration: Work closely with cross-functional teams, including IT, product, and operations, to deliver analytical projects. Mentor junior analysts and provide guidance on best practices in SAS and Python. Process Improvement: Identify opportunities to optimize processes and enhance data-driven decision-making. Stay updated with the latest industry trends, tools, and techniques in analytics. Must-Have Skills: Technical Expertise: Strong proficiency in SAS (Base, Advanced, Macros, SAS Viya, 9.4 version) Advanced Python programming skills, including experience with libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib. Hands-on experience with SQL for data querying and manipulation. Analytical Thinking: Proven ability to develop statistical models (e.g., regression, clustering, classification). Experience with machine learning frameworks is a plus. Additional Skills: Experience with cloud platforms like AWS, Azure, or GCP is a plus. Familiarity with big data tools such as Hadoop, Spark, or similar. Strong understanding of data visualization tools (Tableau, Power BI, or similar). Educational Background: Bachelors or Masters degree in Statistics, Economics, Computer Science, Data Science, or related fields. Soft Skills: Excellent communication and presentation skills. Strong problem-solving and critical-thinking abilities. Ability to work independently and as part of a team. Strong project management and organizational skills.

Dear Professionals! We are seeking a skilled AI Developer to design, develop, and implement intelligent solutions that enhance business processes. The ideal candidate will leverage machine learning models, natural language processing (NLP), and deep learning techniques to build impactful AI-driven applications. Key Responsibilities Develop, train, and deploy machine learning models for various business solutions. Collaborate with cross-functional teams to define AI project goals and technical requirements. Design algorithms for data processing, feature engineering, and model evaluation. Implement and optimize NLP, computer vision, and predictive analytics models. Craft and refine production-grade prompting strategies for large language models (LLMs), ensuring reliability and efficiency. Build and maintain LLM pipelines using LangChain, integrating state-of-the-art models like GPT, Claude, and Gemini. Develop comprehensive frameworks for LLM performance metrics, quality assessments, and cost optimization. Design and implement GenAI applications, including LLM agents and Retrieval-Augmented Generation (RAG). Optimize similarity-based retrieval systems using modern vector databases like Weaviate and Pinecone. Skills & Qualifications Strong proficiency in Python, with a focus on GenAI best practices and frameworks. Expertise in machine learning algorithms, data modeling, and model evaluation. Experience with NLP techniques, computer vision, or generative AI. Deep knowledge of LLMs, prompt engineering, and GenAI technologies. Proficiency in data analysis tools like Pandas and NumPy. Hands-on experience with vector databases such as Weaviate or Pinecone. Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployment. Strong problem-solving skills and critical-thinking abilities. Experience with AI model fairness, bias detection, and adversarial testing. Excellent communication skills to translate business needs into technical solutions. Preferred Qualifications Bachelors or Masters degree in Computer Science, AI, or a related field. Experience with MLOps practices for model deployment and maintenance. Strong understanding of data pipelines, APIs, and cloud infrastructure. Advanced degree in Computer Science, Machine Learning, or a related field (preferred). interested professionals kindly share your updated resume to hr@wee4techsolutions.com with Subject as GENAIML Developer - Contract/Freelancing

Role description Tool Development: o Design, develop, and test tool prototypes to meet project specifications. o Write and maintain high-quality code in Python, CAPL, Java, and Typescript. o Implement and integrate frameworks and middleware such as Python Pandas, NumPy, React, JavaFX, Javascript frameworks (e.g., Vue), Vector CANoe, and Codemeter. Collaboration and Integration: o Work closely with team members to ensure seamless integration and functionality of tools. o Participate in code reviews and provide constructive feedback to peers. o Collaborate with other departments to understand their tool requirements and provide effective solutions. o Work within a small team of 3 members. o Collaborate with roles such as Tool Developer and Tool Tester. CI/CD and DevOps Practices: o Implement and maintain CI/CD pipelines using tools like GIT, HTTP, Jenkins, SVN, GitLab, Kubernetes, Docker, AWS, S3, and Artifactory. o Ensure the tools are integrated into the CI/CD pipeline for automated testing and deployment. o Monitor and optimize the performance of tools in the development and production environments. Project Management: o Assign tasks and responsibilities according to different V-Modell phases. o Track project progress and ensure timely delivery of tool prototypes. o Document development processes, tool functionalities, and user guides. Continuous Improvement: o Stay updated with the latest industry trends and technologies. o Continuously improve tools based on user feedback and technological advancements. o Participate in training and professional development to enhance skills and knowledge. Quality Assurance: o Conduct thorough testing of tools to ensure they meet quality standards. o Identify and fix bugs and issues in a timely manner. o Ensure tools are reliable, efficient, and user-friendly. Support and Maintenance: o Provide ongoing support and maintenance for developed tools. o Troubleshoot and resolve issues reported by users. o Update tools to accommodate new requirements and technologies. Programming Languages: Python: Extensive experience in writing and maintaining Python code, with a strong understanding of libraries such as Pandas and NumPy for data manipulation and analysis. CAPL: Proficient in using CAPL (CAN Access Programming Language) for developing and testing automotive communication protocols. Java: Solid experience in Java programming, including the use of JavaFX for building rich client applications. Typescript: Skilled in writing and maintaining Typescript code, with a good grasp of its features and benefits over JavaScript. Frameworks and Middleware: Python Pandas and NumPy: In-depth knowledge of these libraries for data analysis and manipulation. React: Experience in building user interfaces using React, with an understanding of its component-based architecture. JavaFX: Proficient in using JavaFX for creating desktop applications with rich graphical interfaces. Javascript Frameworks (e.g., Vue): Familiarity with various JavaScript frameworks, particularly Vue, for building interactive web applications. Vector CANoe: Experience with Vector CANoe for simulation, testing, and analysis of automotive networks. Codemeter: Knowledge of Codemeter for software license management and protection. Infrastructure (CI/CD, DevOps): GIT: Proficient in using GIT for version control, including branching, merging, and resolving conflicts. HTTP: Understanding of HTTP protocols and their application in web development and API integration.

Responsibilities Develop software applications based on business requirements Maintain software applications and make enhancements according to project specifications Participate in requirement analysis, design, development, testing, and implementation activities Propose new techniques and technologies for software development. Perform unit testing and user acceptance testing to evaluate application functionality Ensure to complete the assigned development tasks within the deadlines Work in compliance with coding standards and best practices Provide assistance to Junior Developers when needed. Perform code reviews and recommend improvements. Review business requirements and recommend changes to develop reliable applications. Develop coding documentation and other technical specifications for assigned projects. Act as primary contact for development queries and concerns. Analyze and resolve development issues accurately. Skills Must have 10+ years of experience in data intensive python development. Proven experience as a core Python and Pyspark developer. Experience developing Classes, OOPS, exception handling, parallel processing . Strong knowledge of DB connectivity, data loading , transformation, calculation. Extensive experience in Pandas/Numpy dataframes, slicing, data wrangling, aggregations. Lambda Functions, Decorators. Vector operations on Pandas dataframes /series. Application of applymap, apply, map functions. Concurrency and error handling data pipeline batch of size [1-10 gb]. Ability to understand business requirements and translate them into technical requirements. Ability to design architecture of data pipeline for concurrent data processing.

Job Summary As a Junior Data Scientist, you will work on a variety of data-driven projects, assisting in data analysis, data modeling, and algorithm development. You will collaborate with senior team members and stakeholders to deliver insights that inform business decisions. Responsibilities Collect, clean, and preprocess data from various sources. Should be able to work independently and take responsibilities Assist in the development and implementation of statistical models and machine learning algorithms. Conduct exploratory data analysis to identify patterns and trends. Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. Create data visualizations and dashboards to communicate insights to stakeholders. Participate in code reviews and adhere to best practices in data science. Requirements Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 3+ years of experience in data science, data analysis, or a related role. Proficiency in programming languages such as Python. Experience with data analysis libraries (e.g., pandas, NumPy) and machine learning frameworks (e.g., scikit-learn), Deep learning. Should have idea of LLMs and GenAI models. Knowledge of data visualization tools like Matplotlib, Seaborn. Understanding of basic statistical methods and data modeling techniques. Excellent communication skills and the ability to work collaboratively in a team environment and clients.

We are seeking a skilled Data Analyst with 2 to 5 years of experience in data analytics, SQL, Python, Excel VBA , and LLM & Generative AI development . The ideal candidate should have a strong engineering mindset and be proficient in natural language processing (NLP), machine learning (ML) algorithms , and automation tools. Candidates with a bachelors degree in engineering are preferred. Key Responsibilities Analyze and process large datasets to extract actionable insights. Develop and fine-tune LLM (Large Language Models) for business applications. Develop and deploy machine learning models for predictive analytics and automation. Work with SQL databases for data extraction, transformation, and analysis (Azure Synapse). Use Python and Excel VBA for data analysis, automation, and model development. Design and develop dashboards and reports to track key performance indicators. Required Skills & Qualifications Experience: 2 to 5 years in data science, analytics, or AI/ML development. Technical Skills: Strong proficiency in SQL for data manipulation and querying in Azure. Python programming , with expertise in libraries like Pandas, NumPy, Scikit-Learn, Deep learning concepts and NLTK/SpaCy for NLP. Experience with LLMs and Gen AI (e.g., OpenAI GPT, LLaMA, BERT or similar). Hands-on knowledge of NLP algorithms , such as Transformer models, Text Vectorization (TF-IDF, Word2Vec), and Sequence Models (LSTMs, GRUs). Advanced Excel & VBA for automation and reporting. Education: Bachelors degree in engineering (preferred) or related fields. Soft Skills: Strong problem-solving, analytical thinking, and communication skills. Preferred Skills (Nice to Have) Experience with Power BI for data visualization. Exposure to cloud data platforms (Azure) Knowledge of statistical analysis and machine learning concepts.

We are seeking an experienced Data Engineer with expertise in DBT (Data Build Tool) to join our dynamic and fast-growing team. In this role, you will be responsible for transforming critical data, specifically focusing on the creation and management of silver and gold data tiers within our data pipeline. Working closely with data architects and engineers, you will help design, develop, and optimize data transformation processes, ensuring that data is clean, reliable, and ready for business intelligence and analytics teams. Key Responsibilities: DBT-Based Data Transformations : Lead the design, development, and implementation of data transformations using DBT, with a focus on creating and managing silver and gold data tiers within the pipeline. Data Workflow Management : Oversee DBT workflows from data ingestion to transformation and final storage in optimized data models. Ensure seamless integration between DBT models and source systems. Integration with Data Adapters : Work with data adapters like AWS Glue , Amazon Athena , and Amazon Redshift to ensure smooth data flow and transformation across platforms. Data Quality & Optimization : Implement best practices to ensure data transformations are efficient, scalable, and maintainable. Optimize data models for query performance and reduced processing time. Cross-Functional Collaboration : Collaborate with data analysts, business intelligence teams, and data architects to understand data needs and deliver high-quality datasets for analytics and reporting. Documentation & Best Practices : Develop and maintain comprehensive documentation for DBT models, workflows, and configurations. Establish and enforce best practices in data engineering. Data Warehousing Concepts : Apply core data warehousing principles, including star schema , dimensional modeling , ETL processes, and data governance, to build efficient data pipelines and structures. Required Skills & Qualifications: DBT Expertise : Strong hands-on experience with DBT for data transformations and managing data models, including advanced DBT concepts like incremental models , snapshots , and macros . ETL and Cloud Integration : Proven experience with cloud data platforms, particularly AWS, and tools like AWS Glue , Amazon Athena , and Amazon Redshift for data extraction, transformation, and loading (ETL). Data Modeling Knowledge : Solid understanding of data warehousing principles, including dimensional modeling, star schemas, fact tables, and data governance. SQL Expertise : Proficient in writing and optimizing complex SQL queries for data manipulation, transformation, and reporting. Version Control : Experience with Git or similar version control systems for code management and collaboration. Data Orchestration : Familiarity with orchestration tools like Apache Airflow for managing ETL workflows. Data Pipeline Monitoring : Experience with monitoring and ing tools for data pipelines. Additional Tools : Familiarity with other data transformation tools or languages such as Apache Spark , Python , or Pandas is a plus. Required Skills Data build tool, PySpark

Hiring a Data Scientist (1-5 years) to design ML models, automate data pipelines, and deliver insights. Proficiency in Python/R, ML frameworks, and SQL required. Must have done B.Tech/ M.Tech from IIT/ NIT

Overview Work closely with Data Analyst, Architects to achieve DQ objectives Validating data pipelines and ensuring the quality of datasets Collaborate with the Data Delivery technology teams and architects to define and develop solutions Gather business requirements for the building of the Data Quality Dashboard that will include the full set of functionalities from exception identification to remediation Formulate and actively develop test cases, test scripts, and output report specifications for data remediation projects Maintain up-to-date documentation for the Data quality audits and processes Manage and provide data quality control and perform deep-dive analysis of data, identifies problems, root cause, and solution Able to integrate data QA automation using DQ tools Should be able to research new tools and technologies for project. Come up with innovations which team can get benefit from Mentor QA team and Provide solutions to team issues Troubleshooting skills to optimize performance. Leads a team of 8 data QA and own and prioritizes work allocation based on business need Provides regular coaching and feedback to direct reports Responsibilities 7+ Years of Experience in Data Test Automation, Data Comparison and Validation. Must have experience in ETL/ELT tools and pipeline Working experience with Python libraries such as Pandas, NumPy, and SQL Alchemy for ETL Strong understanding of Data Warehouse/Data Lake Architecture and Development Experience with relational SQL and NoSQL databases Good knowledge of SQL, DB Procedures, Packages, and Functions. Experience with data pipeline and workflow management tools Experience working with relational databases Experience with AWS cloud services: EC2, EMR, RDS, Redshift Experience in SQL injection, and query performance (Athena). Must have CI/Cd knowledge Knowledge of bit bucket/git Excellent interpersonal and communication skills Qualifications Additional Skills Be tool agnostic and recommend new processes and techniques to improve the capability of testing for our clients. Good analytical, Problem-solving skills and communication skills. Leadership/mentorship experience Demonstrate motivation, ownership, compassion, and leadership capabilities within the Team Able to communicate feedback articulately Has analytical way of thinking NICE TO HAVE Understanding of data observability tools like Great expectation, Light Up etc. Understanding of Cloud Technologies in AWS or Azure Experience in advanced Excel Experience in data integration tools like Power BI, Datadog, Altan etc. Have team management experience Knowledge of Atlassian products like Jira & Confluence Supervisory Responsibilities Maximum 5 QA employees

Python Programming: Proficiency in Python, Working with libraries like TensorFlow, PyTorch,Transformers,NLTK,Pandas,sklearn, and other related libraries used in NLP tasks and fine tuning language models. Experience with building comprehensive python modules for NLP tasks like tokenization, word embeddings,classifications. Evaluating and selecting the open source and/or commercial LLMs suitable for financial lending domains Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

The impact you will have in this role: We are seeking a talented and expert Data Scientist to join our team. The ideal candidate will have expertise in Python, AI/ML, Power BI, Power Apps, Power Automate, Snowflake, Oracle, SQL, and SharePoint (knowledge is a plus), with a strong background in data analysis, machine learning, and visualization. What You'll Do: Develop and deploy machine learning models to tackle complex business problems and drive decision-making. This includes tasks such as data preprocessing, feature engineering, model training, and evaluation, using techniques such as regression, classification, clustering, and deep learning. Design and implement data pipelines for data extraction, transformation, and loading using Python, Snowflake, and Oracle. This involves understanding and working with various data sources and formats, ensuring data quality and integrity throughout the process. Build and maintain interactive dashboards and reports in Power BI to visualize key metrics and trends. This includes designing visually appealing and informative visualizations for collaborators, utilizing advanced DAX calculations and custom visuals, and optimizing report performance. Apply Power BI's advanced features such as Power Query, Power Pivot, and Power View to handle large datasets efficiently and create dynamic and interactive reports. Build and optimize Power Apps solutions to automate business processes and enhance productivity. This involves understanding user requirements and designing user-friendly interfaces, using Power Apps' capabilities to streamline workflows and improve efficiency. Develop and deploy workflows and business process automations using Power Automate. This includes automating repetitive tasks, integrating systems, and orchestrating complex workflows to improve operational efficiency and reduce manual effort. Collaborate with cross-functional teams to see opportunities for leveraging data and analytics to drive business value. This involves understanding business requirements, conducting data analysis, and translating insights into actionable recommendations and solutions. Provide technical leadership and mentorship to junior team members. This includes sharing standard processes, providing guidance on technical issues, and fostering a culture of continuous learning and innovation. Education : Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field. Talents needed for Success: 7+ years of experience in data science, analytics, or related roles, with a focus on machine learning and data-driven decision-making. Proven experience in Python programming and machine learning techniques, with a deep understanding of algorithms and data structures. Experience with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch is highly preferred. Strong understanding of different machine learning algorithms and their applications, including supervised learning, unsupervised learning, and reinforcement learning. Expertise in data visualization and dashboard development using Power BI. Experience with other visualization tools such as Tableau or Qlik is a plus. Proficient in creating complex calculations, measures, and KPIs in Power BI to derive actionable insights from data. Strong proficiency in Power Apps development, including canvas apps, model-driven apps, and custom connectors. Experience in building and deploying workflows and automations using Power Automate. Hands-on experience with Snowflake and Oracle database technologies. Advanced skills in SQL programming, with experience in writing complex queries and stored procedures. Excellent analytical and problem-solving abilities, with a keen attention to detail and a passion for data-driven decision-making. Effective communication skills and ability to collaborate with cross-functional teams, translating technical concepts into business insights and recommendations. SharePoint knowledge is a plus. Nice to have skills: Communicates openly keeping everyone across the organization advised. Strong communicator who is a self-starter and highly motivated individual

Hiring for an experienced trainer for offline full time FS Python .Candidate should be strong in Core and Advanced Python along with framework (DJango) and should have rich experience in giving classroom training. Good to have additional skillsets . Mandatory to have training experience. Responsibilities: Design and deliver comprehensive Full-Stack Python training programs for students at various experience levels. Develop engaging and interactive course modules covering core and advanced Python concepts, along with the Django framework. Stay up-to-date with the latest advancements in Python and Django, integrating them into your curriculum. Effectively explain complex technical concepts in a clear and concise manner. Conduct practical coding exercises and projects that focus on building full-stack web applications using Python and Django. Provide ongoing support and guidance to students throughout the training program. Actively seek feedback from students and industry professionals to continuously improve the training content.

We are seeking an experienced Architect to drive the development of high-performance Data Processing applications. The ideal candidate will be a hands-on technical leader with previous experience as either a Technical Lead or Technical Architect, bringing deep expertise in Python, AI/ML. This role combines technical leadership with hands-on development, ensuring best coding practices, Agile methodologies, and efficient software delivery to create scalable data solutions. Key Responsibilities Develop and enhance Data Processing applications using Python and Django Framework Build, train, test, and optimize ML models using industry best practices Establish and enforce code quality standards, security protocols, and performance optimization Lead and collaborate with cross-functional teams to define, design, and deploy new features Maintain and improve Agile workflows, including JIRA board tracking Coordinate and participate in code reviews, troubleshooting, and debugging activities Research and implement emerging Python libraries, tools, and best practices Provide technical guidance and mentorship to development teams Communicate effectively with stakeholders and project teams on technical matters Architect scalable solutions that align with business requirements and technical constraints Required Skills & Qualifications Previous experience as a Technical Lead or Technical Architect Proven experience in designing scalable Python-based Data Processing & Analytics architectures Expertise in Microservice and Event-driven architectures Extensive development experience in Python with strong problem-solving capabilities Minimum 2+ years of experience with Django Framework Advanced knowledge of Object-Oriented Programming concepts Hands-on experience with PostgreSQL/MySQL database systems Demonstrated experience integrating db_connectors package with diverse data stores (PostgreSQL, MySQL, Redis, CSV, BigQuery, etc.) Practical experience with Airflow Process Orchestration Proficiency in data science libraries including Scikit-learn, Pandas, and NumPy Experience implementing and managing Celery Beat schedulers Knowledge of streaming technologies, caching solutions (Redis, Memcached), and message brokering systems (ActiveMQ) Demonstrated experience with Agile methodologies and JIRA Proficiency with version control systems (Git/GitHub/GitLab) Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders Nice to Have Knowledge of Jenkins CI/CD pipelines, Docker, and Cloud deployment strategies Exposure to DevOps practices and Server Management Experience with data visualization tools and techniques Background in performance optimization for large-scale data systems Experience mentoring junior developers