Role Summary: Seasoned Software Test Analyst with more than 5+ years of hands-on experience in automation testing for both web and backend systems. The ideal candidate possesses expertise in open-source automation tools, strong programming skills in Python and Java, and working knowledge of cloud environments such as AWS and Azure. Experience in the Finance and Investment domain is preferable. Key Responsibilities: Design, develop, and maintain automated test scripts using Playwright, Pytest, Selenium, Requests, Rest Assured . Perform backend and API automation testing. Write and optimize complex SQL queries in databases such as Oracle and Snowflake . Utilize NumPy and Pandas for data manipulation and validation during testing processes. Integrate and maintain automated tests in CI/CD pipelines using tools such as Jenkins and GitLab CI . Collaborate with cross-functional teams for requirement analysis, test planning, execution, and defect resolution. Ensure effective testing of cloud-based applications across AWS and Azure platforms . Apply strong logical reasoning and problem-solving skills to troubleshoot and resolve issues efficiently.

Location : Vadodara (Onsite only) Job Summary: We are looking for a highly skilled and experienced AI/ML Engineer with 8 to 10 years of relevant experience in developing end-to-end machine learning solutions. The ideal candidate will be well-versed in deep learning, natural language processing (NLP), computer vision, and large language models (LLMs). You will be responsible for designing, developing, and deploying scalable AI models tailored to real-world business use cases. Key Responsibilities: Design, train, evaluate, and deploy machine learning and deep learning models aligned with business goals. Work with various ML tasks such as classification, regression, and clustering. Handle NLP, LLMs, computer vision, and speech-to-text use cases. Implement and fine-tune models like LLaMA, Falcon, BERT, T5 Transformer, and Hugging Face models. Use libraries such as NumPy, Pandas, Matplotlib, SpaCy, Scikit-learn, TensorFlow, and PyTorch. Write clean, efficient Python code for data processing and model development. Utilize tools like Google Colab, Jupyter Notebook, and AWS SageMaker for experimentation and deployment. Monitor data drift and automate model retraining pipelines as required. Deploy AI models on cloud infrastructure (preferably AWS) using services like SageMaker, EC2, ECS, and Kubernetes. Collaborate with cross-functional teams to translate complex problems into AI solutions. Good to Have: Experience working with LangChain or LLaMAIndex . Familiarity with RAG-based (Retrieval-Augmented Generation) application development. Hands-on experience with Google Cloud Platform (GCP) for model deployment.

signdesk is looking for Consultant- AI Developer to join our dynamic team and embark on a rewarding career journey Develops AI-powered applications and tools for business use cases Builds machine learning models and optimizes their deployment Works closely with clients to define AI strategy and solutions Contributes to research, documentation, and training modules

As a Quantitative R&D Engineer, you’ll join the team responsible for designing, validating, and scaling trading strategies that interact directly with crypto markets. You’ll work at the intersection of statistics, code, and markets — exploring data, prototyping logic, and building tools that convert ideas into capital allocation engines. 🔍 What You’ll Work On Analyze on-chain and market data to identify inefficiencies and behavioural patterns. Develop and prototype systematic trading strategies using statistical and ML-based techniques. Contribute to signal research, backtesting infrastructure, and strategy evaluation frameworks. Monitor and interpret DeFi protocol mechanics (AMMs, perps, lending markets) for alpha generation. Collaborate with engineers to turn research into production-grade, automated trading systems. Explore MEV, cross-chain arbitrage, and predictive modelling for on-chain behaviour. ✅ Who You Are You’re curious, analytical, and eager to work where code meets markets. You enjoy designing systems that act autonomously and uncover edge in complex, noisy data. You’re comfortable working in an experimental, high-ownership environment. Ideal Traits Proficiency in Python and experience working with data (Pandas, NumPy, etc.) Understanding of probability, statistics, or ML concepts. Strong interest in markets, trading, or algorithmic systems. Self-driven and comfortable with ambiguity, iteration, and fast learning cycles. 📚 Bonus Points For Experience with backtesting, feature engineering, or strategy evaluation. Familiarity with crypto primitives (AMMs, perps, mempools, MEV, etc.) Projects or research involving trading bots, alpha signals, or data modelling. Use of on-chain analytics tools (Dune, The Graph, Nansen, etc.) Participation in hackathons, quant competitions, or open-source work. 🎁 What You’ll Gain Work on live systems that deploy real capital in 24/7 crypto markets. Access to proprietary infrastructure, backtesting tools, and strategy libraries. Mentorship from experienced quants, traders, and DeFi engineers. Freedom to explore, test, and scale your ideas into real-world performance. A high-trust, fast-moving team focused on pushing boundaries. Skills:- Python, pandas, Blockchain, GenAI and Generative AI Show more Show less

Overview We are looking for a talented Generative AI Developer to join our dynamic team and contribute to our projects in transforming data into actionable insights. Responsibilities Design, develop, and implement generative AI models using Python and relevant libraries. Collaborate with data scientists to analyze data and improve model performance. Develop and maintain Flask APIs to serve AI models and facilitate integration with frontend applications. Utilize SQL for data manipulation and retrieval to support AI model training and evaluation. Engage in code reviews and contribute to best practices for software development. Stay updated with the latest trends and advancements in AI and machine learning technologies. Primary Skills: Proficient in Python (including libraries such as TensorFlow, PyTorch, or similar frameworks). Strong experience with SQL for database management and data querying. Familiarity with Generative AI tools and platforms (e.g., Gemini Pro). Experience in developing RESTful APIs using Flask. Secondary Skills: Understanding of machine learning concepts and algorithms. Familiarity with cloud computing services (e.g., AWS, Google Cloud) is a plus. Knowledge of data preprocessing and feature engineering techniques. Excellent problem-solving skills and ability to work in a collaborative team environment.

Job Summary- Data Scientist with good hands-on experience of 3+ years in developing state of the art and scalable Machine Learning models and their operationalization, leveraging off-the-shelf workbench production. Job Responsibilities- 1. Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib 2. Proficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.) 3. Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence 4. Good understanding of any of the cloud platform - AWS, Azure or GCP 5. Understanding of Commercial Pharma landscape and Patient Data / Analytics would be a huge plus 6. Should have an attitude of willingness to learn, accepting the challenging environment and confidence in delivering the results within timelines. Should be inclined towards self motivation and self-driven to find solutions for problems. 7. Should be able to mentor and guide mid to large sized teams under him/her Job - 1. Strong experience on Spark with Scala/Python/Java 2. Strong proficiency in building/training/evaluating state of the art machine learning models and its deployment 3. Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering 4. Proficiency in Core NLP techniques like Text Classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, etc. Understanding of Generative AI / Large Language Models / Transformers would be a plus

JOB OBJECTIVE Manager with good hands-on experience of 6+ years in developing state of the art and scalable Machine Learning models and their operationalization, leveraging off-the-shelf workbench production. KEY RESPONSIBILITIES Necessary Skills – 6+ years of experience of model development using Python/PySpark libraries. Development on Databricks or Dataiku DSS (Data Science Studio) environment would be a plus Strong experience on Spark with Scala/Python/Java Strong proficiency in building/training/evaluating state of the art machine learning models and its deployment Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering Proficiency in Core NLP techniques like Text Classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, etc. Understanding of Generative AI / Large Language Models / Transformers would be a plus Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib Proficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.) Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence Good understanding of any of the cloud platform – AWS, Azure or GCP Understanding of Commercial Pharma landscape and Patient Data / Analytics would be a huge plus Should have an attitude of willingness to learn, accepting the challenging environment and confidence in delivering the results within timelines. Should be inclined towards self motivation and self-driven to find solutions for problems. Should be able to mentor and guide mid to large sized teams under him/her

Job Summary- Data Scientist with good hands-on experience of 6+ years in developing state of the art and scalable Machine Learning models and their operationalization, leveraging off-the-shelf workbench production. Job Responsibilities- Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib Proficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.) Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence Good understanding of any of the cloud platform – AWS, Azure or GCP Understanding of Commercial Pharma landscape and Patient Data / Analytics would be a huge plus Should have an attitude of willingness to learn, accepting the challenging environment and confidence in delivering the results within timelines. Should be inclined towards self motivation and self-driven to find solutions for problems. Should be able to mentor and guide mid to large sized teams under him/her Job - Strong experience on Spark with Scala/Python/Java Strong proficiency in building/training/evaluating state of the art machine learning models and its deployment Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering Proficiency in Core NLP techniques like Text Classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, etc. Understanding of Generative AI / Large Language Models / Transformers would be a plus

Job TitleSenior RWE Manager Job Location-Hyderabad/Gurugram Job Responsibilities- Develop and execute comprehensive RWE strategies by leading the end-to-end process of study conceptualization, including protocol development, statistical analysis planning, and implementation of complex observational studies utilizing advanced epidemiological methods. Lead teams in designing and implementing sophisticated cohort identification algorithms using structured and unstructured data, and direct large-scale data projects using multiple real-world data sources by overseeing data extraction, cleaning, and standardization while ensuring compliance and data reproducibility. Guide the implementation of advanced statistical methods for confounding control and bias mitigation and oversee the development and validation of models for patient stratification, treatment response prediction, and adverse event detection. Develop and maintain strategic partnerships with external stakeholders (key opinion leaders, data vendors, technology partners) while leading the evaluation and selection of fit-for-purpose data sources, analytical tools, and platforms. Establish and implement standard operating procedures for the RWE practice, including documentation standards, quality control processes, and validation requirements. Manage direct reports; Coach & Mentor junior team members in advanced analytical methods and oversee the development of reusable analytical frameworks and code libraries. Monitor and optimize project performance metrics (financial, operational, compliance), implement corrective actions, and maintain comprehensive documentation for audits. Qualification- Advanced degree (PhD, MD, PharmD) with focus in biostatistics, epidemiology, or related quantitative field 8-10+ years of hands-on experience in health data science and real-world evidence generation with strong understanding of statistical concepts and methodologies Demonstrated expertise in observational research methodology and causal inference Strong track record of leading complex analytical projects using healthcare databases Experience with regulatory-grade real-world evidence studies Must have Skills: - Advanced programming skills in Python (pandas, numpy, scikit-learn) and R (tidyverse, survival) Expertise in SQL for complex data manipulation in healthcare databases Proficiency in handling claims data (medical, pharmacy), understanding of coding systems (ICD-10, CPT, HCPCS, NDC) and experience with standardized vocabularies (SNOMED, RxNorm, LOINC) Experience with different RWD data sources (Optum, Marketscan, Healtverity, etc) and common data models (OMOP, PCORnet) Demonstrated ability to develop and validate various statistical algorithms Strong knowledge of statistical methods for confounding control and bias mitigation Experience with electronic health record data extraction and processing Expertise in implementing causal inference methods (PS matching, IPTW, g-methods) Behavioural Attributes (1) ability to execute assigned tasks both independently and collaboratively with minimal supervision (2) Proactiveness in identifying solutions to challenges (3) Growth mindset demonstrated through intellectual curiosity, critical thinking, and a drive for collective business success. Skills that give you an edge- Knowledge of distributed computing platforms (Spark, Hadoop) Expertise in natural language processing for unstructured EHR data Proficiency in version control systems (Git) and collaborative development Knowledge of FDA & EMA guidelines for RWE and regulatory submissions Knowledge of privacy frameworks (HIPAA, GDPR) and clinical data security Strong analytical skills to solve and model complex business requirements are a plus. We will provide– (Employee Value Proposition) Offer an inclusive environment that encourages diverse perspectives and ideas Deliver challenging and unique opportunities to contribute to the success of a transforming organization Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-developmentonline Axtria Institute, knowledge sharing opportunities globally, learning opportunities through external certifications Sponsored Tech Talks & Hackathons Possibility to relocate to any Axtria office for short and long-term projects Benefit package -Health benefits -Retirement benefits -Paid time off -Flexible Benefits -Hybrid /FT Office/Remote

Position Summary This Requisition is for the Employee Referral Campaign. We are seeking high-energy, driven, and innovative Data Scientists to join our Data Science Practice to develop new, specialized capabilities for Axtria, and to accelerate the company’s growth by supporting our clients’ commercial & clinical strategies. Job Responsibilities Be an Individual Contributor tothe Data Science team and solve real-world problems using cutting-edge capabilities and emerging technologies. Help clients translate the business use cases they are trying to crack into data science solutions. Provide genuine assistance to users by advising them on how to leverage Dataiku DSS to implement data science projects, from design to production. Data Source Configuration, Maintenance, Document and maintain work-instructions. Deep working onmachine learning frameworks such as TensorFlow, Caffe, Keras, SparkML Expert knowledge in Statistical and Probabilistic methods such as SVM, Decision-Trees, Clustering Expert knowledge of python data-science and math packages such as NumPy , Pandas, Sklearn Proficiency in object-oriented languages (Java and/or Kotlin),Python and common machine learning frameworks(TensorFlow, NLTK, Stanford NLP, Ling Pipe etc Education Bachelor Equivalent - Engineering Master's Equivalent - Engineering Work Experience Data Scientist 3-5 years of relevant experience in advanced statistical and mathematical models and predictive modeling using Python. Experience in the data science space prior relevant experience in Artificial intelligence and machine Learning algorithms for developing scalable models supervised and unsupervised techniques likeNLP and deep Learning Algorithms. Ability to build scalable models using Python, R-Studio, R Shiny, PySpark, Keras, and TensorFlow. Experience in delivering data science projects leveraging cloud infrastructure. Familiarity with cloud technology such as AWS / Azure and knowledge of AWS tools such as S3, EMR, EC2, Redshift, and Glue; viz tools like Tableau and Power BI. Relevant experience in Feature Engineering, Feature Selection, and Model Validation on Big Data. Knowledge of self-service analytics platforms such as Dataiku/ KNIME/ Alteryx will be an added advantage. ML Ops Engineering 3-5 years of experience with MLOps Frameworks like Kubeflow, MLFlow, Data Robot, Airflow, etc., experience with Docker and Kubernetes, OpenShift. Prior experience in end-to-end automated ecosystems including, but not limited to, building data pipelines, developing & deploying scalable models, orchestration, scheduling, automation, and ML operations. Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure, or GCP). Programming languages like Python, Go, Ruby, or Bash, a good understanding of Linux, knowledge of frameworks such as Keras, PyTorch, TensorFlow, etc. Ability to understand tools used by data scientists and experience with software development and test automation. Good understanding of advanced AI/ML algorithms & their applications. Gen AI :Minimum of 4-6 years develop, test, and deploy Python based applications on Azure/AWS platforms.Must have basic knowledge on concepts of Generative AI / LLMs / GPT.Deep understanding of architecture and work experience on Web Technologies.Python, SQL hands-on experience.Expertise in any popular python web frameworks e.g. flask, Django etc. Familiarity with frontend technologies like HTML, JavaScript, REACT.Be an Individual Contributor in the Analytics and Development team and solve real-world problems using cutting-edge capabilities and emerging technologies based on LLM/GenAI/GPT.Can interact with client on GenAI related capabilities and use cases.

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations. Your Team’s Impact Capital structures engineering team focused on developing cutting-edge web applications that drive the business forward through innovative solutions. We leverage modern frontend and backend technologies to build scalable and highly performant web platforms. The challenge, scope, and versatility of this development work provide an exciting opportunity to make a significant impact on our products and client offerings. Join our dynamic team and contribute to building robust, reliable, and scalable web applications using VueJS, Node.js, and AWS. You will work on both internal and external client-facing applications that shape the user's experience and drive FactSet's growth through technological innovations. What You’II Do Maintain and resolve bugs in existing components Contribute new features, fixes, and refactors to the existing code Perform code reviews and coach engineers with respect to best practices Work with other engineers in following the test-driven methodology in an agile environment Collaborate with other engineers and Product Developers in a Scrum Agile environment using Jira and Confluence Ability to work as part of a geographically diverse team Ability to create and review documentation and test plans Estimate task sizes and regularly communicate progress in daily standups and biweekly Scrum meetings Coordinate with other teams across offices and departments What We’re Looking For Bachelor’s degree in Engineering or relevant field required. We are looking for 5-7 years of Total experience engineer for this role. Strong technical basis , collaborative, troubleshooting, and communication skills Strong analytical and problem-solving skills & Project management skills. Experience with Python language Knowledge on Python libraries , Pandas, Numpy. Relational database experience, preferably with POSTGRES Should be able to comprehend C#, .Net applications Experience with Github-based development processes Working experience on AWS services, Lambda, EC2, S3, AWS Glue etc. Proficiency with object oriented design principles Working experience on APIs is a must Experience building and deploying production level services Good organizational and problem-solving skills, self-directed, and resourceful with the ability to appropriately prioritize work in a fast-paced environment Ability to work in a team-oriented environment Nice to have skills Work experience of Jupyter Notebooks is plus. Familiar with Agile software development (Scrum is a plus). Experience working in Linux/Unix environment is desirable. Technically leading the team experience is a plus. What's In It For You At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means: The opportunity to join an S&P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start-up. Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and company-wide wellness days. Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives. A global community dedicated to volunteerism and sustainability, where collaboration is always encouraged, and individuality drives solutions. Career progression planning with dedicated time each month for learning and development. Business Resource Groups open to all employees that serve as a catalyst for connection, growth, and belonging. Learn More About Our Benefits Here. Salary is just one component of our compensation package and is based on several factors including but not limited to education, work experience, and certifications. Company Overview: FactSet (NYSE:FDS | NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn. At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law. Show more Show less

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: We are seeking a highly skilled Full Stack Python Developer to join our dynamic team. The ideal candidate should have a strong background in tool development, data science, and automation of complex tasks. You will be responsible for developing high volume regression dashboard, parametric and power tools and contributing to both front-end and back-end development. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. Technical Skills: Python Proficiency in Python programming, including libraries like Pandas, NumPy, and SciPy for data science. Full Stack Development Experience with both front-end (HTML, CSS, JavaScript, React, Vue.js) and back-end (Django, Flask) technologies. Tool Development Ability to develop parametric and power tools, possibly using frameworks like Vue.js , PyQt or Tkinter for GUI development. Data Science Strong understanding of data analysis, machine learning (using libraries like scikit-learn, TensorFlow), and data visualization (using Matplotlib, Seaborn). Automation Experience in automating complex tasks using scripting and tools like Selenium, Airflow, or custom automation scripts. Soft Skills: Problem-Solving Ability to tackle complex problems and develop innovative solutions. Communication Strong communication skills to effectively collaborate with team members and stakeholders. Adaptability Flexibility to adapt to new technologies and methodologies. Experience: Projects Previous experience in developing tools and automation solutions. Industry Knowledge Familiarity with the specific industry or domain you're working in can be a plus. Key Responsibilities: Develop and maintain parametric and power tools using Python. Design and implement automation solutions for complex tasks. Collaborate with data scientists to analyze and visualize data. Build and maintain web applications using Django or Flask. Develop front-end components using HTML, CSS, JavaScript, and React. Integrate third-party APIs and services. Optimize applications for maximum speed and scalability. Write clean, maintainable, and efficient code. Troubleshoot and debug applications. Stay updated with the latest industry trends and technologies. Preferred Qualifications: Bachelor's degree in Computer Science, Engineering, or related field. Previous experience in tool development and automation. Familiarity with industry-specific tools and technologies.

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division The Information Technology (IT) group at KLA is involved in every aspect of the global business. IT’s mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence. Job Description/Preferred Qualifications We are seeking for a Data Scientist/ML Engineer with experience in NLP, statistics, and Conversational AI. The ideal candidate is adept at using Statistical Modelling, Machine learning algorithms and Conversational AI. Strong experience using variety of data mining/ Machine Learning methods, using/coding algorithms and running simulations. The right candidate will have a passion for discovering solutions hidden in large data sets and working with business partners to improve business outcomes. Responsibilities for Data Scientist/ML Engineer: Building end-to-end ML systems (Including traditional ML models and Conversational AI) and deploying them to operate at scale. Research and devise innovative statistical models/ML models for data analysis Develop and maintain RAG (Retrieval-Augmented Generation) applications. Implement changes to algorithms to improve AI performance and retrieval techniques. Use predictive modeling to increase and optimize customer service experience and supply chain optimization. Identify patterns in data using statistical modeling, develop custom data models and algorithms to apply to data sets. Work with business partners throughout the organization to find opportunities for using company data to drive solutions. Working with project managers to establish objectives for AI systems. Minimum Qualifications Bachelor’s degree (or equivalent) in computer science, statistics, applied mathematics, or related discipline Experience solving problems with Conversational AI in a production environment for a High-tech Manufacturing Industry 2+ years of experience in Python and ML packages (NumPy, Keras, Seaborn, Scikit-learn). Excellent understanding of machine learning techniques and algorithms such as, Regression models, kNN, SVM,NB, Decision Trees. Expertise/Familiarity with one or more deep learning frameworks such as TensorFlow, PyTorch. We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees. KLA is proud to be an equal opportunity employer Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information. Show more Show less

Summary Position Summary Strategy & Analytics AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Python Developer - Sr. Consultant T he position is suited for individuals who have the ability to work in a constantly challenging environment and deliver effectively and efficiently. As a Data Engineer, you will be an integral member of our Data & Analytics team responsible for design and development of pipelines using cutting edge technologies . Work you’ll do Implementation of security and data protection Implementation of ETL pipelines for data from a wide variety of data sources using Python and SQL Delivering data and insights in Realtime Participate in architectural, design, and product sessions. Unit testing and debugging skills Collaborate with other developers, testers, and system engineers to ensure quality of deliverables and any product enhancements. Qualifications Required: 6-9 Years of technology Consulting experience Education: Bachelors/ Master’s degree in Computer Science / MCA / M.Sc / MBA A minimum of 2 Years of experience into Unit testing and debugging skills Excellent knowledge of Python programming language along with knowledge of at least one Python web framework (Django , Flask , FastAPI , Pyramid ) 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. Understanding on using a framework based on specific needs and requirements. Understanding of the threading limitations of Python, and multi-process architecture Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 Primary Skills Python and data analysis libraries (Pandas, NumPy, SciPy). Django DS/Algo SQL (Read & Write) CRUD Awareness of Microservices Preferred: Good Understanding of fundamental design principles behind a scalable application Good Understanding of accessibility and security compliance Familiarity with event-driven programming in Python Proficient understanding of code versioning tools (Git , Mercurial or SVN) Knowledge of PowerShell and SQL Server You are familiar with big data technologies like Spark or Flink and comfortable working with web-scale datasets You have an eye for detail, good data intuition, and a passion for data quality G ood Knowledge of user authentication and authorization between multiple systems, servers, and environments You appreciate the importance of great documentation and data debugging skill Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 300058 Show more Show less

Summary Position Summary Strategy & Analytics AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Python Developer - Consultant T he position is suited for individuals who have the ability to work in a constantly challenging environment and deliver effectively and efficiently. As a Data Engineer, you will be an integral member of our Data & Analytics team responsible for design and development of pipelines using cutting edge technologies . Work you’ll do Implementation of security and data protection Implementation of ETL pipelines for data from a wide variety of data sources using Python and SQL Delivering data and insights in Realtime Participate in architectural, design, and product sessions. Unit testing and debugging skills Collaborate with other developers, testers, and system engineers to ensure quality of deliverables and any product enhancements. Qualifications Required: 3-6 Years of technology Consulting experience Education: Bachelors/ Master’s degree in Computer Science / MCA / M.Sc / MBA A minimum of 2 Years of experience into Unit testing and debugging skills Excellent knowledge of Python programming language along with knowledge of at least one Python web framework (Django , Flask , FastAPI , Pyramid ) 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. Understanding on using a framework based on specific needs and requirements. Understanding of the threading limitations of Python, and multi-process architecture Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 Primary Skills Python and data analysis libraries (Pandas, NumPy, SciPy). Django DS/Algo SQL (Read & Write) CRUD Awareness of Microservices Preferred: Good Understanding of fundamental design principles behind a scalable application Good Understanding of accessibility and security compliance Familiarity with event-driven programming in Python Proficient understanding of code versioning tools (Git , Mercurial or SVN) Knowledge of PowerShell and SQL Server You are familiar with big data technologies like Spark or Flink and comfortable working with web-scale datasets You have an eye for detail, good data intuition, and a passion for data quality G ood Knowledge of user authentication and authorization between multiple systems, servers, and environments You appreciate the importance of great documentation and data debugging skill Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 300054 Show more Show less

Summary Position Summary Strategy & Analytics AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Python Developer - Sr. Consultant T he position is suited for individuals who have the ability to work in a constantly challenging environment and deliver effectively and efficiently. As a Data Engineer, you will be an integral member of our Data & Analytics team responsible for design and development of pipelines using cutting edge technologies . Work you’ll do Implementation of security and data protection Implementation of ETL pipelines for data from a wide variety of data sources using Python and SQL Delivering data and insights in Realtime Participate in architectural, design, and product sessions. Unit testing and debugging skills Collaborate with other developers, testers, and system engineers to ensure quality of deliverables and any product enhancements. Qualifications Required: 6-9 Years of technology Consulting experience Education: Bachelors/ Master’s degree in Computer Science / MCA / M.Sc / MBA A minimum of 2 Years of experience into Unit testing and debugging skills Excellent knowledge of Python programming language along with knowledge of at least one Python web framework (Django , Flask , FastAPI , Pyramid ) 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. Understanding on using a framework based on specific needs and requirements. Understanding of the threading limitations of Python, and multi-process architecture Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 Primary Skills Python and data analysis libraries (Pandas, NumPy, SciPy). Django DS/Algo SQL (Read & Write) CRUD Awareness of Microservices Preferred: Good Understanding of fundamental design principles behind a scalable application Good Understanding of accessibility and security compliance Familiarity with event-driven programming in Python Proficient understanding of code versioning tools (Git , Mercurial or SVN) Knowledge of PowerShell and SQL Server You are familiar with big data technologies like Spark or Flink and comfortable working with web-scale datasets You have an eye for detail, good data intuition, and a passion for data quality G ood Knowledge of user authentication and authorization between multiple systems, servers, and environments You appreciate the importance of great documentation and data debugging skill Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 300058 Show more Show less

Line of Service Advisory Industry/Sector FS X-Sector Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: Design, develop, and maintain high-performance, reliable, and scalable Python-based applications. Collaborate with cross-functional teams including designers, developers, and product managers to implement software solutions that meet business goals. Contribute to all phases of the development lifecycle, from proposing and designing new features to rolling out significant changes in functionality. Write reusable, testable, and efficient code while adhering to industry best practices and standards. Debug and optimize existing code and perform regular code reviews for peers to ensure software integrity, quality, and security. Identify and resolve bottlenecks and bugs to improve application performance. Provide technical support and guidance to junior developers, assisting in their professional growth. Stay informed of emerging technologies and industry trends to ensure the company's applications remain at the forefront of innovation. Required Skills: Proficiency in Python with a strong understanding of its libraries and frameworks such as Django or Flask. In-depth knowledge of data structures, algorithms, and software design patterns. Experience with version control systems, particularly Git. Solid understanding of both frontend and backend development, preferably with knowledge of RESTful API design and implementation. Ability to write efficient code that is scalable and maintainable. Strong problem-solving skills and the ability to work independently as well as in a team environment. Excellent communication skills for effective collaboration and reporting. Preferred Skills: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with distributed systems and microservices architecture. Knowledge of containerization technologies like Docker or Kubernetes. Experience with data analysis and manipulation using libraries such as Pandas or NumPy. Understanding of Continuous Integration/Continuous Deployment (CI/CD) pipelines. Exposure to machine learning frameworks like TensorFlow or Scikit-learn. Prior experience with database technologies, both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra). Mandatory Skill Sets: Python Preferred Skill Sets: Python Years Of Experience Required: 5-10 Years Education Qualification: BE, B.Tech, MCA, M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering, Bachelor of Technology Degrees/Field Of Study Preferred: Certifications (if blank, certifications not specified) Required Skills Automation Testing Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 12 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

Summary Position Summary Strategy & Analytics AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Python Developer - Sr. Consultant T he position is suited for individuals who have the ability to work in a constantly challenging environment and deliver effectively and efficiently. As a Data Engineer, you will be an integral member of our Data & Analytics team responsible for design and development of pipelines using cutting edge technologies . Work you’ll do Implementation of security and data protection Implementation of ETL pipelines for data from a wide variety of data sources using Python and SQL Delivering data and insights in Realtime Participate in architectural, design, and product sessions. Unit testing and debugging skills Collaborate with other developers, testers, and system engineers to ensure quality of deliverables and any product enhancements. Qualifications Required: 6-9 Years of technology Consulting experience Education: Bachelors/ Master’s degree in Computer Science / MCA / M.Sc / MBA A minimum of 2 Years of experience into Unit testing and debugging skills Excellent knowledge of Python programming language along with knowledge of at least one Python web framework (Django , Flask , FastAPI , Pyramid ) 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. Understanding on using a framework based on specific needs and requirements. Understanding of the threading limitations of Python, and multi-process architecture Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 Primary Skills Python and data analysis libraries (Pandas, NumPy, SciPy). Django DS/Algo SQL (Read & Write) CRUD Awareness of Microservices Preferred: Good Understanding of fundamental design principles behind a scalable application Good Understanding of accessibility and security compliance Familiarity with event-driven programming in Python Proficient understanding of code versioning tools (Git , Mercurial or SVN) Knowledge of PowerShell and SQL Server You are familiar with big data technologies like Spark or Flink and comfortable working with web-scale datasets You have an eye for detail, good data intuition, and a passion for data quality G ood Knowledge of user authentication and authorization between multiple systems, servers, and environments You appreciate the importance of great documentation and data debugging skill Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 300058 Show more Show less

About Creditors Academy: At Creditors Academy, we’re revolutionizing financial and legal education using cutting-edge technology. We empower learners with powerful tools to understand credit, law, and sovereignty in the modern age. Now, we’re building a next-generation, AI-powered Learning Management System (LMS) that integrates content generation, adaptive learning, and smart engagement into a single platform. We are looking for a high-potential AI Engineer / Machine Learning Engineer who will be the driving force behind the development of AI features , AI-generated content, and ML infrastructure for our educational ecosystem. Role Overview: As an AI Engineer at Creditors Academy , you will work closely with product, design, and instructional teams to build a smart LMS that thinks, talks, draws, teaches, and evaluates . You will implement AI/ML models, automate content creation, and integrate third-party AI tools into the system. This is a hybrid role that combines hands-on development , prompt engineering , and AI system design — with end-to-end ownership of features that touch thousands of learners. Key Responsibilities:1. AI-Powered Content Creation & Automation Build systems that use LLMs (like GPT-4, Claude, etc.) to: Auto-generate course modules, lesson plans, descriptions, quizzes Write AI scripts for voiceovers, explainers, or chatbot tutors Summarize complex credit/law topics into digestible content Develop AI workflows that automate: Comics and visual storytelling Educational video generation (via tools like RunwayML, Pika, Synthesia) AI voiceovers (via ElevenLabs, Descript, etc.) Image generation (via Midjourney, DALL·E, Stable Diffusion) 2. AI/ML System Design & Training Fine-tune or train models to: Deliver personalized learning journeys Analyze user progress and suggest improvements Power AI tutors/chatbots that can answer legal and credit-related queries Build AI capabilities for: AI picture reader (image-to-text for PDFs, legal forms, etc.) Auto-marking and adaptive assessments Generating dynamic learning feedback 3. LMS Development with Embedded AI Co-develop our custom LMS platform with inbuilt AI tools: AI-assisted content editing Admin dashboards with analytics Student activity tracking with real-time insights Integrate AI with: Shopify for storefront automation (course sales, upsells) Stripe or Razorpay for payments Multimedia delivery systems 4. Data Engineering & Model Performance Create structured data pipelines for: Tracking learner progress Model training (behavioral prediction, quiz scoring) Monitor, evaluate, and optimize AI model performance Ensure secure data storage, ethical AI usage, and compliance with privacy laws Required Skills & Qualifications: Educational Background: B.Tech / B.E. / M.Tech in Computer Science, Artificial Intelligence, Data Science, or a related field Core Technical Skills: Python (NumPy, Pandas, FastAPI/Flask) Machine Learning & NLP: Scikit-learn, TensorFlow, PyTorch, HuggingFace Transformers Familiarity with OpenAI, Claude, Gemini, or similar APIs Generative AI (LLMs, text-to-image, text-to-video tools) Git/GitHub, REST APIs, containerized deployments (Docker) AI Tools Experience (Preferred): ChatGPT, Claude, Copilot (for content) Midjourney, DALL·E, RunwayML, Pika (for media) ElevenLabs, Descript, PlayHT (for voiceovers) LangChain, Pinecone, Weaviate (for retrieval-augmented generation) Bonus Skills (Nice to Have): Prompt engineering for educational use cases Shopify app or store integrations Web backend frameworks: Node.js, Django, or similar Experience with LMS tools (Moodle, TalentLMS, or custom LMS) Google Cloud / AWS / Azure AI services What You Will Gain: Lead the AI vision for a cutting-edge EdTech platform Hands-on access to the latest AI tools and APIs Creative freedom to experiment with AI-generated education Collaborate directly with domain experts, designers, and founders Competitive salary with growth-based incentives Application Process: To apply, send your: Resume / CV GitHub or portfolio link (with relevant AI/ML projects) Optional: A short note describing an AI tool you’ve built or integrated Job Type: Full-time Pay: ₹17,000.00 - ₹25,000.00 per year Schedule: Day shift Monday to Friday Work Location: In person

Job Description : We are seeking a passionate and skilled AI Engineer ( Male) with 2–3 years of professional experience in Artificial Intelligence, Machine Learning, and Deep Learning. The ideal candidate will have hands-on knowledge of ML algorithms, NLP techniques, DL frameworks, and Computer Vision, along with a strong understanding of modern tools like Langchain, Ollama, and RAG architecture. This role offers the opportunity to work on cutting-edge AI applications, contribute to real-time system design, and collaborate with a team of talented engineers and researchers. Key Responsibilities: ● Design, develop, and deploy AI/ML models in production. ● Implement NLP pipelines including text preprocessing, tokenization, and sentiment analysis. ● Develop and optimize CNNs and RNNs/LSTMs for computer vision and time-series applications. ● Work on generative AI models including GANs, transformers, and LLMs. ● Conduct hyperparameter tuning and performance optimization. ● Collaborate with cross-functional teams to integrate AI solutions into existing systems. ● Prepare technical documentation and research reports. Required Skills & Knowledge : ● Proficiency in Python, along with NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch. ● Understanding of ML techniques: supervised, unsupervised, and reinforcement learning. ● Strong grasp of bias-variance tradeoff, overfitting, bagging vs boosting, and feature scaling. ● Experience with CNNs, RNNs, LSTMs, transfer learning, dropout, and batch normalization. ● Knowledge of NLP workflows, tokenization, stop words handling, and text classification. ● Exposure to Computer Vision: image classification, object detection, filters/kernels, face recognition. ● Hands-on experience or knowledge of tools such as MediaPipe, Langchain, RAG, Ollama, and Prompt Engineering. ● Experience using Git and issue-tracking tools like JIRA. Preferred Qualifications: ● B.Tech / M.Tech in Computer Science, AI, Data Science, or related fields. ● Experience with cloud-based AI/ML deployment (AWS, Azure, GCP). ● Familiarity with vector databases and face embedding techniques. ● Understanding of Generative AI, LLM hallucinations, and Agentic AI concepts. Share your resume to hr@nesasoftware.com or 7306377006 Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Work Location: In person

Job Title: Python Trainer Location: Calicut Job Type: Full-Time Job Summary: We are looking for a passionate and knowledgeable Python Trainer to deliver high-quality training sessions to students or professionals. The ideal candidate should have hands-on experience with Python programming and a strong grasp of software development practices. You will be responsible for designing curriculum, conducting sessions, and evaluating the progress of learners. Key Responsibilities: Design and deliver Python training programs (beginner to advanced levels) Develop training materials, assignments, quizzes, and projects Conduct live classroom or online training sessions Evaluate student performance and provide constructive feedback Stay updated with the latest developments in Python and related technologies Mentor and support learners through their learning journey Collaborate with instructional designers and content developers Requirements: Proven experience in Python programming and software development Familiarity with Python libraries and frameworks (e.g., NumPy, Pandas, Django, Flask) Strong understanding of OOP, data structures, and algorithms Excellent presentation and communication skills Ability to explain complex concepts in an easy-to-understand manner Bachelor’s degree in Computer Science, Engineering, or a related field (preferred) Prior teaching or training experience is an advantage Job Type: Full-time Schedule: Day shift Monday to Friday Language: Malayalam (Preferred) Work Location: On the road

Urgent Hiring: Offline Trainers (Full-Time) – Data Science Academy, Kerala Location: Thiruvananthapuram & Kochi, Kerala (Offline / In-Person Only) Job Type: Full-Time Join Date: Immediate About Us: Data Science Academy is Kerala’s first dedicated AI and Data Science training institute , committed to shaping the next generation of tech professionals. We are rapidly expanding and seeking passionate educators to join our mission. We’re Hiring Trainers With Expertise in ANY of the Following Areas: Microsoft Excel (Advanced) Database Python Programming Power BI Python Libraries (NumPy, Pandas, Matplotlib, etc.) Machine Learning Deep Learning Generative AI Cloud Computing (AWS / Azure / GCP) Who Can Apply: Industry professionals with teaching flair Academic trainers with practical exposure Freelancers looking for consistent offline assignments Freshers with strong domain knowledge and communication skills Requirements: Strong subject expertise in at least one or more of the areas listed Excellent communication and presentation skills Must be willing to train students in an offline classroom setting in Kerala (primarily at our Thiruvananthapuram campus) Availability for immediate joining is preferred What We Offer: Chance to be part of Kerala’s pioneering AI education brand Opportunity to mentor future data scientists and AI engineers Career growth in training, curriculum development, and industry exposure Job Type: Full-time Education: Bachelor's (Preferred) Experience: total work: 1 year (Preferred) Python: 1 year (Preferred) Training & development: 1 year (Preferred) Language: English (Preferred) Work Location: In person

Work Experience :3-4 Roles & Responsibilities: 1. Design and write high-quality code. 2. Responsible for robust and efficient implementation. 3. Stay abreast of the latest advancements in AI, machine learning, and related technologies. 4. Test, debug, analyze and fix application problems/issues. 5. Participate in code reviews in accordance with program specifications and coding standards, practices and conventions, new designs, changes and enhancements. 6. Interact with stakeholders (internal and external) to support product releases and/or resolve program problems. 7. Research and remain informed of new technology and development tools. 8. Experiment with new technologies and approaches to enhance project outcomes. 9. Contribute to internal knowledge sharing and best practices development. Skills : â—� Should have good command in the Python language. â—� Candidates must have knowledge of one of Python frameworks such as Django/Flask and microservices. â—� Design and implement RESTful APIs that are robust, efficient, and scalable using Django and Django Rest Framework. â—� Proficiency in object-oriented design, data structures, algorithm design and problem solving. â—� Design, build, and deploy AI models with a focus on advanced technologies such as ChatGPT, Llama, Claude, DALL-E, Stable Diffusion. â—� Well-versed with Prompt Engineering. â—� Should have knowledge of Agent Development using any of the tech, e.g.,Langchain, AutoGen, CrewAI, etc. â—� Knowledge of Computer Vision, OCR, etc. â—� Good to have exposure to computer vision technologies like Amazon Rekognition, Azure Computer Vision, Google Cloud Vision, and OpenCV. â—� Good to have knowledge of ML Tech and Frameworks like TensorFlow, Keras,PyTorch, Scikit-learn, etc â—� Worked on NLP tech/framework such as BERT, NLTK, Spacy, etc â—� Create intelligent chatbots using AWS Lex, DialogFlow, RASA, and IBM Watson,etc â—� Stay updated with the latest developments in AI, machine learning, and related technologies. â—� Basic Understanding of front-end technologies such as HTML, CSS, JavaScript and frameworks like React or Angular. Experience : 3-4 years Skills : Python, Django, HTML, AI/ML, CSS, Flask, RESTful APIs, JavaScript, ML Frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, Numpy Pandas etc Experience : 3-4 years

iTechnolabs is a software development company specializing in web applications, mobile apps and digital marketing services for businesses of all sizes. We help clients with consulting on technology and business strategies to achieve their goals and objectives Job description We are looking for a passionate, highly talented Python Developer with a minimum of 3+ years of experience to develop web applications using Django(Preferable)/flask. The candidate should be a strong individual contributor and be part of the development team and enjoys coding, thinks strongly about how things should be done. Must have: Hands-on experience in python Design, build and maintain efficient, reusable and reliable python code Hands-on experience in frameworks like Django or Flask Should adhere to best practices in Python/Django/Flask Good problem solving skills Knowledge of any of the databases. Relational (PostgreSQL, MySQL) or NoSQL (MongoDB). Testing and debugging software applications with Python test framework tools like Robot, PyTest, PyUnit, etc. Understanding of WebServer, Load Balancer, deployment process / activities, queuing mechanisms and background tasks. Good communication skills Good to have: Knowledge of front-end interfaces using HTML, CSS would be an added advantage. Familiarity with deployments using AWS will be a plus. Experience in Data Analytics/Data Science/Machine Learning. Working with Python libraries like Pandas, NumPy, etc. Familiarity with building RESTful APIs. Experience in monitoring and improving application performance will be a plus. Job Type: Full-time Pay: ₹30,000.00 - ₹90,000.00 per month Location Type: In-person Schedule: Day shift Education: Bachelor's (Preferred) Experience: Python: 4 years (Preferred) Work Location: In person

🧠 Data Science Intern (Remote) 🌐 🔍 Do you love exploring data, building models, and uncovering insights with the power of machine learning and statistics? Ready to begin your data science journey — all from anywhere in the world? This role is for you! 📍 Location: Remote / Virtual 💼 Job Type: Internship (Unpaid) 🕒 Schedule: Flexible working hours 🌟 About the Role: We’re looking for a curious and driven Data Science Intern to join our remote team! This internship is perfect for students or recent graduates who want hands-on experience with real-world datasets, algorithms, and predictive analytics. You’ll work on data cleaning, exploration, modeling, and visualization to help solve real problems and deliver valuable insights — all while collaborating with a friendly, remote-first team. 🚀 What You’ll Gain: ✅ 100% Remote – Work from anywhere 🌍 ✅ Flexible Schedule – Learn and contribute on your time ⏰ ✅ Real-World Experience – Apply data science to real projects 📊 ✅ Skill Building – Sharpen your Python, ML, and data analysis toolkit 🛠️ ✅ Mentorship – Learn from experienced data professionals 👥 👀 Ideal Candidate: 🎓 Currently studying or recently graduated in Data Science, Computer Science, Statistics, or a related field 🧠 Solid understanding of statistics, data analysis, and machine learning concepts 🛠️ Comfortable with Python, Pandas, NumPy, and tools like Jupyter Notebook; knowledge of scikit-learn or TensorFlow is a plus 📈 Passionate about solving problems with data and eager to learn 💬 Self-motivated and able to work independently in a remote setting 📅 Apply By: June 15th Excited to take your first step into the data science world? We’d love to hear from you! Let’s build models and make discoveries through data — together! 📊🧠💡 Show more Show less