Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. 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. " Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Responsibilities ML engineer: 3-5 years of experience as AI/ML engineer or similar role. Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with model development and deployment processes. Proficiency in programming languages such as Python. Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (e.g., AWS) and containerization (e.g., Docker, Kubernetes). Familiarity with version control systems (e.g., GitHub). Proficiency in data manipulation and analysis using libraries such as NumPy and Pandas. Good to have knowledge of deep learning, ML Ops: Kubeflow, MLFlow, Nextflow. Knowledge on text Analytics, NLP, Gen AI Mandatory Skill Sets Gen AI, Python Preferred Skill Sets Gen AI, Python Years Of Experience Required 3 - 5 Education Qualification B.Tech / M.Tech / MBA / MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Master of Engineering, Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Python (Programming Language) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Performance Assessment, Performance Management Software {+ 16 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Show more Show less

About The Role Grade Level (for internal use): 10 The Team As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. The Impact The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. What’s In It For You Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Key Responsibilities Design, Develop and Deploy ML powered products and pipelines Play a central role in all stages of the data science project life cycle, including: Identification of suitable data science project opportunities Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Evaluation/interpretation of results and presentation to business leaders Performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments Training large models both for experimentation and production Develop production ready pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Spearhead deployment and model scaling strategies Stakeholder management and representing the team in front of our leadership Leading and mentoring by example including project scrums What We’re Looking For 3+ years of professional experience in Data Science domain Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Expertise in probabilistic machine learning model for classification, regression & clustering Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets. Exposure to Information Retrieval, Web scraping and Data Extraction at scale OOP Design patterns, Test-Driven Development and Enterprise System design SQL (any variant, bonus if this is a big data variant) Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Problem-solving and debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Prior work to show on Github, Kaggle, StackOverflow etc. Cloud expertise (AWS and GCP preferably) Expertise in deploying machine learning models in cloud environments Familiarity in working with LLMs What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 315681 Posted On: 2025-05-14 Location: Gurgaon, Haryana, India Show more Show less

Job Title: Python Developer Location: Hyderabad ( On-Site ) Job Type: Full-Time Experience : 4 to 5 Years Notice Period : Immediate to 15 Days Job Description: Job Summary: We are seeking a skilled and motivated Python Developer with hands-on experience in building APIs using FastAPI and Flask . The ideal candidate should be proficient in Python programming and have a strong grasp of data manipulation and analysis using NumPy and Pandas . You will be responsible for developing scalable backend services, integrating APIs, and working closely with data engineering and frontend teams to deliver robust software solutions. Key Responsibilities: Design, develop, and maintain using FastAPI and Flask . Write clean, reusable, and efficient code in Python . Work with large datasets using NumPy and Pandas for data transformation and analysis. Collaborate with cross-functional teams to gather requirements and implement backend services. Optimize applications for performance, scalability, and reliability. Implement security and data protection protocols in API services. Write unit and integration tests to ensure code quality. Maintain documentation for code, APIs, and system architecture. Required Skills & Qualifications: Strong programming skills in Python . Proficiency in developing APIs using FastAPI and/or Flask . Experience with data manipulation libraries like NumPy and Pandas . Familiarity with REST principles and asynchronous programming. Experience with version control tools like Git. Understanding of CI/CD pipelines and containerization (e.g., Docker) is a plus. Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience. Job Type: Full-time Pay: ₹10,764.55 - ₹65,865.68 per month Benefits: Flexible schedule Health insurance Paid time off Provident Fund Schedule: Day shift Monday to Friday Ability to commute/relocate: Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Preferred) Experience: Python developer: 6 years (Required) Coding: 6 years (Required) Pandas: 5 years (Required) NumPy: 5 years (Required) Fast API: 5 years (Required) Flask API: 5 years (Required)

Job Description: · We are seeking a highly skilled and innovative Machine Learning Engineer to join our team, specializing in the development of AI models for analytics on satellite images. In this role, you'll get to be part of an R&D team working on applying state of the art Computer Vision and AI techniques on Satellite data. Responsibilities: · Contribute across different stages of deep learning model development including data collection, data cleaning, model development, validation and deployment. · Develop AI/ML models for a wide variety of tasks spanning object detection, segmentation, tracking, image enhancements and so on. · Continuously improve the quality and performance of existing deep learning models by applying latest research in the field. · Continuously monitor and fine-tune AI models to adapt to changing conditions and improve their accuracy and efficiency. · Stay up-to-date with the latest advancements in AI, edge computing, and space technology to drive innovation in the field. · Create and maintain documentation related to the ongoing/developed processes and applications. Qualifications: · Professional Experience: 1+ years in the field of Machine Learning. · Good understanding in developing models with different architectural complexities like layer architecture, depth, convolution operations, connections etc. Should have good understanding of optimization techniques and hardware consideration. · Knowledge in areas like image classification, object detection and instance segmentation. Understanding of deep learning fundamentals including network architectures, training artefacts, overfitting and regularisation in neural networks, batch normalisation and so on. · Proficiency in python. · Proficiency in numpy and opencv. · Proficient in deep learning frameworks e.g. PyTorch or Tensorflow. Familiarity contributing and maintaining code in github. · Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field and should have taken a ML course in Bachelor’s or Master’s Degree or should have a certification from a reputed institute. · Strong problem-solving and debugging skills. · Excellent communication and teamwork abilities. · Understanding of SQL and docker technology is a bonus. · Basic understanding of Image Processing and basic understanding of Remote Sensing is a plus. Benefits: · Opportunity to work on cutting-edge AI technology for space applications. · Collaboration with a dynamic and innovative team. · Professional development and growth opportunities in a rapidly evolving field. Job Type: Full-time Pay: ₹269,687.75 - ₹1,549,646.41 per year Benefits: Paid sick time Paid time off Provident Fund Schedule: Day shift Application Question(s): Current CTC? Expected CTC? Current Location? Available for Walk-in interview? Are you an immediate joiner? Education: Bachelor's (Preferred) Experience: AI/ML: 1 year (Preferred) Location: Madhapur, Hyderabad, Telangana (Preferred) Work Location: In person

Job Title: Python Developer – AI/ML Experience: 1–4 Years Location: Trivandrum – Work From Office (Kerala candidates only) Employment Type: Full-Time Key Responsibilities: Develop and deploy ML models using Python Work with libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch Preprocess and analyze large datasets Collaborate with data scientists and engineers for model integration Optimize code and ensure performance in production environments Requirements: Strong Python programming skills Hands-on experience with ML algorithms and data processing Familiarity with model training, evaluation, and versioning Knowledge of REST APIs and cloud platforms is a plus Mail to thasleema@qcentro.com Job Type: Permanent Location Type: In-person Application Question(s): Kerala candidates only Experience: python AI/ML: 1 year (Required) Work Location: In person

Lead Data Scientist Gurgaon, India; Ahmedabad, India; Hyderabad, India; Noida, India Information Technology 315680 Job Description About The Role: Grade Level (for internal use): 11 The Team: As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. The Impact: The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. What’s in it for you: Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Key Responsibilities Design, Develop and Deploy ML powered products and pipelines Play a central role in all stages of the data science project life cycle, including: Identification of suitable data science project opportunities Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Evaluation/interpretation of results and presentation to business leaders Performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments Training large models both for experimentation and production Develop production ready pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Spearhead deployment and model scaling strategies Stakeholder management and representing the team in front of our leadership Leading and mentoring by example including project scrums What We’re Looking For: 7+ years of professional experience in Data Science domain Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Expertise in probabilistic machine learning model for classification, regression & clustering Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets. Exposure to Information Retrieval, Web scraping and Data Extraction at scale OOP Design patterns, Test-Driven Development and Enterprise System design SQL (any variant, bonus if this is a big data variant) Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Problem-solving and debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Prior work to show on Github, Kaggle, StackOverflow etc. Cloud expertise (AWS and GCP preferably) Expertise in deploying machine learning models in cloud environments Familiarity in working with LLMs What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf - 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 315680 Posted On: 2025-05-20 Location: Gurgaon, Haryana, India

Assistant Manager with 6-7 yers expereince for Battery/Cell Modeling Engineer role Lead and mentor a team of data scientists and analysts working on vehicle telemetry, usage, and performance data. Write and optimize complex SQL queries to analyze large-scale, time-series EV telemetry datasets (e.g., battery voltage/current, temperature, SOH, motor efficiency, torque, speed, trip patterns). Develop diagnostic algorithms and SOH estimation frameworks using real-world data to monitor and predict subsystem health (battery, motor, thermal). Translate raw data into high-impact visualizations, KPIs, and trend analyses to support system simulations and control strategy tuning. Collaborate with 1D system simulation engineers to correlate model-based results with real-world behavior and suggest model improvements or boundary conditions. Partner with requirement engineers and product managers to define data-backed feature requirements and validate them through in-field performance metrics. Build dashboards and pipelines for field failure diagnostics, early-warning systems, and OTA update validations. Interface with firmware, controls, and thermal teams to identify improvement areas based on field usage patterns. Design A/B experiments or cohort studies to measure the impact of software updates, control calibrations, and new features on vehicle performance. Must Have: Strong SQL skills; experience with distributed data processing (e.g., Spark, Hive, Presto) is a plus. Proficient in Python (Pandas, NumPy, Matplotlib, scikit-learn); experience in applying ML techniques to engineering datasets is advantageous. Deep domain knowledge of EV subsystems: battery pack behavior, motor drive efficiency, thermal limits, and SOH/SOC estimation. Experience working with simulation or modeling teams (1D/0D tools like Simulink, AMESim, GT-Suite, etc.) to validate or enhance model accuracy using field data. Proven leadership experience in a cross-functional setup. Must Have: Bachelor's or Master’s degree in Data Science, Computer Science, Electrical/Mechanical Engineering, or a related field. 6+ years of experience in data analytics or data science, preferably with time-series/telemetry data in automotive, energy, or mobility domains. Good To Have: PhD/Master’s degree in Data Science, Computer Science, Electrical/Mechanical Engineering, or a related field. 4+ years of experience in data analytics or data science, preferably with time-series/telemetry data in automotive, energy, or mobility domains. Show more Show less

Collect, process, and analyze large datasets to identify trends, patterns, and insights. Develop and maintain dashboards and reports to track key performance indicators (KPIs). Use statistical methods to analyze data and generate useful business reports. Collaborate with internal teams to understand data needs and provide data-driven solutions. Write and optimize SQL queries to extract data from databases. Utilize Python for data manipulation, analysis, and visualization. Present findings and recommendations to stakeholders in a clear and concise manner. Ensure data accuracy and integrity in all analytical outputs. Stay up-to-date with industry trends and best practices in data analysis and visualization Requirements: Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field. Minimum of 2 years of experience in a data analyst role with a focus on Python. Proficiency in Python for data analysis and visualization (e.g., pandas, numpy, matplotlib, seaborn). Experience with SQL and relational databases. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Excellent communication and presentation skills. Ability to work independently and collaboratively within a team. Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus. Knowledge of machine learning and statistical modeling techniques is a plus.

About Kinaxis: About Kinaxis Elevate your career journey by embracing a new challenge with Kinaxis. We are experts in tech, but it’s really our people who give us passion to always seek ways to do things better. As such, we’re serious about your career growth and professional development, because People matter at Kinaxis. In 1984, we started out as a team of three engineers based in Ottawa, Canada. Today, we have grown to become a global organization with over 2000 employees around the world, and support 40,000+ users in over 100 countries. As a global leader in end-to-end supply chain management, we enable supply chain excellence for all industries. We are expanding our team in Chennai and around the world as we continue to innovate and revolutionize how we support our customers. Our journey in India began in 2020 and we have been growing steadily since then! Building a high-trust and high-performance culture is important to us and we are proud to be Great Place to Work® CertifiedTM. Our state-of-the-art office, located in the World Trade Centre in Chennai, offers our growing team space for expansion and collaboration. About the team: Location Chennai, India About the team The team is responsible for applying machine learning algorithms to develop intelligent supply chains. The uniqueness of the team is that it performs at the intersection of technology and real business problems. You will contribute to the product that delights customers world-wide! About the role: What you will do If you love solving complex problems, analyzing complex datasets, finding insights from data, creating data model and learning new technologies, this role is for you. As a senior software developer, you are passionate about shipping large-scale software systems in a fast-paced environment but can balance longer term issues such as maintainability, scalability, and quality. You are an experienced software engineer who is passionate about delivering software that supports and facilitates business operations of ML & AI solutions. You have a strong understanding of Cloud technologies and Cloud agnostic software architecture and have experience troubleshooting high scale solutions that are deployed and upgraded on a regular cadence. You have a passion for software reliability and know how to ensure user needs are met through cross-functional stakeholder understanding and engagement. You enjoy understanding both the details of the use cases that end-users are performing using the solution as well as the architecture and implementation of the system end to end. You have a strong interest in resolving issues as well as designing effective methods for troubleshooting, preventing, and debugging problems in software systems, getting to the root cause of issues, meeting the users’ needs and influencing the product development roadmap. You are excited about finding ways to develop product capabilities and tools that increase robustness of the user experience, reduce the cost of troubleshooting, or reduce the time required to address issues. You are fluent in Python, have experience working with distributed computing, big data frameworks and are very knowledgeable about Kubernetes and Docker. You also have experience working with and building Machine Learning pipelines and models. You have the ability and enthusiasm to learn new technologies whether they are infrastructure or language or platform,and easily adapt to change. You excel as a team player, a quick starter, and a problem solver. You thrive in cross-functional teams, actively listening and contributing to discussions. Your expertise lies in engineering solutions for complex machine learning challenges, developing Python-based applications, containerizing apps with Docker, orchestrating container swarms in Kubernetes, and building Argo Workflows. These efforts play a key role in creating ML software systems that deliver critical value to the business and its customers. What we are looking for We're looking for a highly experienced and self-driven Senior Machine Learning or Data Science Developer to join our growing team. This role requires a strong mix of data science expertise, software engineering skills, and problem-solving ability to build scalable, production-grade solutions. Education & Experience: Bachelor’s or master’s degree in computer science, Software Engineering, Data Science, or a related field, or equivalent practical experience. 10–15 years of relevant industry experience. At least 5 years of hands-on experience in building and deploying Machine Learning or Data Science solutions in a production environment. Technologies we use Strong programming skills in Python, with deep expertise in Pandas, NumPy, and major ML libraries (Scikit-learn, XGBoost, LightGBM, etc.). Experience with developing REST APIs using frameworks such as Flask or FastAPI. Solid experience working with Docker, Kubernetes, Helm, and Argo Workflows in production environments. Experience with CI/CD pipelines, preferably using GitHub Actions or similar tools. Proficiency in version control systems like Git/GitHub. Hands-on experience working with cloud platforms such as Azure, GCP, or AWS. Experience with distributed computing frameworks like Spark, and platforms like Azure Databricks or AWS EMR. Machine Learning Expertise: Solid understanding of the end-to-end ML lifecycle: data preparation, feature engineering, model training, hyperparameter tuning, model evaluation, and deployment. Experience working with structured and unstructured data, large-scale datasets, and optimizing pipelines for performance and scalability. Ability to write modular, testable, and maintainable code for ML workflows. Soft Skills: Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Proven problem-solving skills and a passion for debugging and troubleshooting complex issues. Strong organizational skills with an ability to manage multiple tasks/projects simultaneously. Nice to Have Domain knowledge in Supply Chain, especially in Demand Planning, CPG, or Manufacturing industries. Understanding of how business drivers (e.g., pricing, promotions, seasonality, weather patterns) influence demand. Experience working with time series forecasting or predictive modeling in operational contexts. Familiarity with MLFlow, DVC, or other ML experiment tracking and versioning tools. Exposure to ML model monitoring, or model explainability frameworks. #Intermediate #Full-time #LI-RJ1 Why join Kinaxis?: Work With Impact: Our platform directly helps companies power the world’s supply chains. We see the results of what we do out in the world every day—when we see store shelves stocked, when medications are available for our loved ones, and so much more. Work with Fortune 500 Brands: Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Ford, Unilever, Yamaha, P&G, Lockheed-Martin, and more. Social Responsibility at Kinaxis: Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we’re committed to net-zero operations strategy for the long term. We are involved in our communities and support causes where we can make the most impact. People matter at Kinaxis and these are some of the perks and benefits we created for our team: Flexible vacation and Kinaxis Days (company-wide day off on the last Friday of every month) Flexible work options Physical and mental well-being programs Regularly scheduled virtual fitness classes Mentorship programs and training and career development Recognition programs and referral rewards Hackathons For more information, visit the Kinaxis web site at www.kinaxis.com or the company’s blog at http://blog.kinaxis.com. Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. If you require an accommodation, please reach out to us at recruitmentprograms@kinaxis.com. Please note that this contact information is strictly for accessibility requests and cannot be used to inquire about application statuses. Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description, to identify candidates whose education, experience and skills most closely match the requirements of the role. After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team. AI does not make any final hiring decisions.

Job Title: Lead Data Scientist Location: Chennai Reports To: CEO Job Summary: We are seeking a highly skilled and experienced Data Scientist with 6+ years of hands-on experience in data science, analytics, and stakeholder engagement. The ideal candidate should have strong expertise in Python , Tableau , Snowflake , Machine Learning, Statistical testing and should be comfortable driving business insights through storytelling and daily interactions with stakeholders. Key Responsibilities: Design, build, and deploy scalable machine learning models to solve complex business problems Write and optimize complex SQL queries, particularly on the Snowflake platform Develop insightful dashboards and visualizations using Tableau Conduct data exploration, cleaning, and transformation using Python & R and relevant libraries (Pandas, NumPy, Scikit-learn, etc.) Perform A/B testing & other statistical techniques Translate analytical insights into clear, compelling stories and recommendations for stakeholders Collaborate cross-functionally with product, engineering, and business teams to understand data needs and deliver solutions Present findings and recommendations to both technical and non-technical stakeholders regularly Requirements: 6+ years of professional experience in data science or advanced analytics Strong proficiency in Python for data manipulation, analysis, and modelling Proven experience in building dashboards and reports using Tableau Expertise in writing complex SQL queries , especially on Snowflake Solid understanding of machine learning techniques, statistical tests and model deployment best practices Excellent communication and storytelling skills to convey data-driven insights Comfortable working closely with stakeholders daily to gather requirements and present findings Job Type: Full-time Pay: ₹1,500,000.00 - ₹2,000,000.00 per year Work Location: In person

Job Description: We are looking for an experienced and dynamic Data Science Trainer to join our team. The ideal candidate will have a strong background in data science, machine learning, and statistical analysis, along with a passion for teaching and mentoring. You will be responsible for designing and delivering practical, industry-relevant training programs that help learners build job-ready data science skills. Roles and Responsibilities: Deliver engaging and practical training sessions on Data Science, Machine Learning, and related tools and technologies. Python for data analysis Numpy, Pandas, Matplotlib, and Seaborn Exploratory data analysis (EDA) Statistics and probability for data science Machine Learning (supervised and unsupervised) Model building, evaluation, and deployment Basics of deep learning (if applicable) SQL and data handling Guide students through capstone projects, case studies, and real-world datasets. Design, develop, and update training content, hands-on exercises, quizzes, and assignments. Provide continuous feedback and mentorship to students. Conduct mock interviews, portfolio reviews, and career preparation sessions. Keep up with the latest trends and advancements in data science and integrate them into the course curriculum. Assist in developing content for corporate training, webinars, and workshops. Requirements: Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Minimum 2–3 years of hands-on experience in data science or machine learning roles. Proficient in Python, Jupyter Notebooks, and key libraries like NumPy, Pandas, Scikit-learn, Matplotlib. Strong knowledge of statistical analysis, model building, and data visualization. Excellent communication and presentation skills. Passion for teaching and mentoring learners of various skill levels. Preferred Qualifications: xperience with cloud platforms like AWS, GCP, or Azure (for model deployment). Experience with Power BI, Tableau, or other visualization tools is a plus. Data Science certification from platforms like IBM, Coursera, edX, or similar is a bonus. Prior teaching, coaching, or curriculum development experience is highly preferred. Familiarity with LMS platforms, Zoom, and other remote teaching tools. Job Types: Part-time, Freelance Contract length: 56 months Pay: ₹8,000.00 - ₹25,000.00 per month Expected hours: 18 per week Supplemental Pay: Commission pay Work Location: In person

We are looking for a highly skilled Senior Python Developer to join our development team. You will be responsible for designing, implementing, and maintaining scalable and robust applications. As a senior member of the team, you will mentor junior developers, drive architectural decisions, and ensure best practices in coding and software design. ● Design, develop, and maintain high-performance and scalable Python-based applications. ● Write clean, reusable, and efficient code. ● Build and integrate RESTful APIs and third-party services. ● Lead code reviews, enforce coding standards, and mentor junior developers. ● Collaborate with cross-functional teams including front-end developers, DevOps, and QA engineers. ● Optimize applications for maximum speed and scalability. ● Troubleshoot, debug, and upgrade existing systems. ● Stay updated with the latest industry trends and technologies. Required Skills and Qualifications : ● Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. ● 3+ years of professional experience in Python development. ● Strong understanding of Python frameworks such as Django, Flask, or FastAPI. ● Experience with ORMs (e.g., SQLAlchemy, Django ORM). ● Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Redis). ● Experience with RESTful API development and integration. ● Knowledge of unit testing and TDD practices. ● Proficiency in version control systems like Git. ● Familiarity with containerization (Docker, Kubernetes) is a plus. ● Experience with cloud platforms such as AWS, GCP, or Azure is a bonus. Preferred Skills: ● Experience in microservices architecture. ● Familiarity with CI/CD pipelines. ● Understanding of asynchronous programming. ● Knowledge of message brokers like RabbitMQ or Kafka. ● Exposure to data processing tools like Pandas, NumPy, etc. Soft Skills: ● Strong problem-solving and analytical skills. ● Excellent communication and teamwork abilities. ● Ability to lead and mentor team members. ● Adaptability to work in a fast-paced environment. Perks and Benefits: ● Competitive salary and performance bonuses. ● Flexible working hours and remote work options. ● Health insurance and wellness benefits. ● Learning and development opportunities. ● Supportive and collaborative team culture. How to Apply: Interested candidates can send their resume and portfolio to barnita.das@techqware.com with the subject line Senior Python Developer Application Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹85,000.00 per month Location Type: In-person Schedule: Day shift Monday to Friday Work Location: In person Speak with the employer +91 7835995079

Job Title: Python Developer Django & AI/ML Location: Raipur, Chhattisgarh Job Type: Full-Time | On-site Job Overview: We are hiring a skilled Python Developer with expertise in Django and AI/ML technologies to join our growing team in Raipur. The ideal candidate will be responsible for developing robust web applications, designing APIs, and implementing intelligent machine learning solutions. Key Responsibilities: Develop scalable web applications using Python and Django Design and build RESTful APIs and integrate with frontend frameworks Work with relational databases (PostgreSQL, MySQL) and ORM tools Implement asynchronous task processing with Celery Develop, train, and deploy machine learning models Handle NLP, computer vision, and AI-driven tasks Visualize data and insights using tools like Matplotlib and Seaborn Collaborate with DevOps for deployment and monitoring Core Requirements: Strong proficiency in Python and object-oriented programming Experience with Django and Django REST Framework Solid understanding of web development principles and MVC architecture Hands-on experience with relational databases and ORM tools Technical Skills: Frontend technologies: HTML5, CSS3, JavaScript, Bootstrap Knowledge of React, Vue.js, or Angular API development using REST or GraphQL Version control using Git (GitHub/GitLab) Testing with pytest, unittest, or Django test framework Asynchronous processing with Celery AI/ML Skills: Machine Learning: scikit-learn, pandas, NumPy Deep Learning: TensorFlow, PyTorch, Keras Data analysis and visualization: pandas, matplotlib, seaborn Experience in model development, training, and deployment Exposure to NLP, Computer Vision, and MLOps Familiarity with Jupyter Notebooks Preferred / Additional Skills: Cloud experience (AWS, Azure, Google Cloud Platform) Docker and Kubernetes for containerization Big Data technologies (Apache Spark, Hadoop) NoSQL databases (MongoDB, Redis, Elasticsearch) CI/CD pipelines and DevOps practices Experience with FastAPI and microservices architecture Why Join Us: Work on innovative AI/ML and intelligent software solutions Collaborative, innovation-driven work culture Exposure to the latest tools and technologies Structured career growth and learning opportunities Competitive salary and benefits package How to Apply: Interested candidates may send their updated resume to career@srfcnbfc.in

At Skillsoft, we propel organizations and people to grow together through transformative learning experiences. We believe every team member has the potential to be AMAZING. Join us in our quest to transform learning and help individuals unleash their edge. Sr.Analyst Instructional Designer (Tech Content Strategist) – AI/ML Job Overview Are you a certified AI/ML professional with a creative flair and a passion for content design? Join us to create impactful, learner-centered content that blends real-world expertise with engaging storytelling. As a principal – Tech Content Strategist, you will lead the end-to-end development of engaging, instructionally sound learning experiences in the AI/ML domain. Acting as a subject matter expert (SME), you’ll translate complex frameworks into clear, outcome-focused content across digital formats. This role demands strong instructional design expertise, a deep understanding of learner needs, and the ability to creatively script and plan high-impact learning assets—from video courses to assessments. Job Responsibilities Own the content development lifecycle—plan, research, script, storyboard review, strategic video review and iterate—for AI/ML Design creative and effective learning experiences grounded in instructional design principles, addressing diverse learner personas and real-world scenarios. Author and script engaging digital content, including on-demand videos, interactive walkthroughs/lessons, assessments, and job aids. Collaborate with visual designers, editors, and technical experts to bring content to life in a compelling and accessible format. Align content with industry certification frameworks (e.g., Azure, CompTIA, AWS Certified, Microsoft Certified) and learner performance outcomes. Apply learner-centered design by identifying learning gaps and tailoring content that improves retention, engagement, and job readiness. Utilize Generative AI tools to accelerate and enhance content ideation, scripting, and personalization while maintaining content quality. Ensure instructional consistency, voice, and quality across all course deliverables and formats. Optionally support bootcamps (virtual training delivery) and mentor junior content developers. Skills Required Minimum 5+ years of hands-on experience in AI/ML, including practical exposure to Generative AI. Demonstrated experience in instructional design, especially in developing digital learning products from concept to delivery. Excellent scripting, writing, and communication skills; able to distill complex concepts into concise, engaging narratives. Strong creativity and storytelling ability with an understanding of how to structure content for different learning styles. Fluency with and experience in programming such as Python and SQL. Fluency and experience with AI/ML libraries such as NumPy, Pandas, Sci-kit Learn, HuggingFace, and Langchain. Experience working with AI/ML technology and topics such as Agents, LLMs, OpenAI, Claude, Gemini, Copilot, and Deep Learning. Preferred/Additional Skills Relevant certifications in AI. Familiarity with Generative AI tools like ChatGPT, Claude, or similar for content creation and enhancement. Training delivery experience (live/ virtual/ hybrid formats) is an added advantage. Understanding of instructional design models such as ADDIE, SAM, or Bloom’s Taxonomy. Experience in analyzing learner feedback and improving content based on performance and engagement data. More About Skillsoft Skillsoft delivers online learning, training, and talent solutions to help organizations unleash their edge . Leveraging immersive, engaging content, Skillsoft enables organizations to unlock the potential in their best assets – their people – and build teams with the skills they need for success. Empowering 36 million learners and counting, Skillsoft democratizes learning through an intelligent learning experience and a customized, learner-centric approach to skills development with resources for Leadership Development, Business Skills, Technology & Development, Digital Transformation, and Compliance. Skillsoft is partner to thousands of leading global organizations, including many Fortune 500 companies. The company features three award-winning systems that support learning, performance and success: Skillsoft learning content, the Percipio intelligent learning experience platform, which offers measurable impact across the entire employee lifecycle. Learn more at www.skillsoft.com. Thank you for taking the time to learn more about us. If this opportunity intrigues you, we would love for you to apply! NOTE TO EMPLOYMENT AGENCIES: We value the partnerships we have built with our preferred vendors. Skillsoft does not accept unsolicited resumes from employment agencies. All resumes submitted by employment agencies directly to any Skillsoft employee or hiring manager in any form without a signed Skillsoft Employment Agency Agreement on file and search engagement for that position will be deemed unsolicited in nature. No fee will be paid in the event the candidate is subsequently hired as a result of the referral or through other means. Skillsoft is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories. Show more Show less

At Skillsoft, we propel organizations and people to grow together through transformative learning experiences. We believe every team member has the potential to be AMAZING. Join us in our quest to transform learning and help individuals unleash their edge. Sr.Analyst Instructional Designer (Tech Content Strategist) – Data Job Overview Are you a certified Data professional with a creative flair and a passion for content design? Join us to create impactful, learner-centered content that blends real-world expertise with engaging storytelling. As a Sr. Analyst – Tech Content Strategist, you will lead the end-to-end development of engaging, instructionally sound learning experiences in the Data domain. Acting as a subject matter expert (SME), you’ll translate complex frameworks into clear, outcome-focused content across digital formats. This role demands strong instructional design expertise, a deep understanding of learner needs, and the ability to creatively script and plan high-impact learning assets—from video courses to assessments. Job Responsibilities Own the content development lifecycle—plan, research, script, storyboard review, strategic video review and iterate—for Data Design creative and effective learning experiences grounded in instructional design principles, addressing diverse learner personas and real-world scenarios. Author and script engaging digital content, including on-demand videos, interactive walkthroughs/lessons, assessments, and job aids. Collaborate with visual designers, editors, and technical experts to bring content to life in a compelling and accessible format. Align content with industry certification frameworks (e.g., Microsoft Certified, CAP, Azure, Oracle, AWS, CompTIA) and learner performance outcomes. Apply learner-centered design by identifying learning gaps and tailoring content that improves retention, engagement, and job readiness. Utilize Generative AI tools to accelerate and enhance content ideation, scripting, and personalization while maintaining content quality. Ensure instructional consistency, voice, and quality across all course deliverables and formats. Optionally support bootcamps (virtual training delivery) and mentor junior content developers. Skills Required Minimum 5+ years of hands-on experience in data analytics, data visualization, or other data fields. Demonstrated experience in instructional design, especially in developing digital learning products from concept to delivery. Excellent scripting, writing, and communication skills; able to distill complex concepts into concise, engaging narratives. Strong creativity and storytelling ability with an understanding of how to structure content for different learning styles. Fluency with and experience in programming such as Python and SQL. Fluency and experience with data libraries such as NumPy, Pandas, Sci-kit Learn, Seaborn. Experience working with data technology and topics such as Tableau, PowerBI, Excel, Natural Language Processing, and Reinforcement Learning. Relevant certifications in Data. Preferred/Additional Skills Familiarity with Generative AI tools like ChatGPT, Claude, or similar for content creation and enhancement. Training delivery experience (live/ virtual/ hybrid formats) is an added advantage. Understanding of instructional design models such as ADDIE, SAM, or Bloom’s Taxonomy. Experience in analyzing learner feedback and improving content based on performance and engagement data. More About Skillsoft Skillsoft delivers online learning, training, and talent solutions to help organizations unleash their edge . Leveraging immersive, engaging content, Skillsoft enables organizations to unlock the potential in their best assets – their people – and build teams with the skills they need for success. Empowering 36 million learners and counting, Skillsoft democratizes learning through an intelligent learning experience and a customized, learner-centric approach to skills development with resources for Leadership Development, Business Skills, Technology & Development, Digital Transformation, and Compliance. Skillsoft is partner to thousands of leading global organizations, including many Fortune 500 companies. The company features three award-winning systems that support learning, performance and success: Skillsoft learning content, the Percipio intelligent learning experience platform, which offers measurable impact across the entire employee lifecycle. Learn more at www.skillsoft.com. Thank you for taking the time to learn more about us. If this opportunity intrigues you, we would love for you to apply! NOTE TO EMPLOYMENT AGENCIES: We value the partnerships we have built with our preferred vendors. Skillsoft does not accept unsolicited resumes from employment agencies. All resumes submitted by employment agencies directly to any Skillsoft employee or hiring manager in any form without a signed Skillsoft Employment Agency Agreement on file and search engagement for that position will be deemed unsolicited in nature. No fee will be paid in the event the candidate is subsequently hired as a result of the referral or through other means. Skillsoft is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories. Show more Show less

We’re looking for a passionate and curious Data Science Intern to join our team at Techlusion . This role is perfect for students pursuing a degree in Data Science, Computer Science, or related fields, who are looking to gain hands-on experience working with AI/ML models , Python-based data pipelines , and real-world datasets . Key Responsibilities: Assist in developing, training, and testing machine learning models for predictive and classification tasks. Support data cleaning, transformation, and exploratory data analysis (EDA) . Write efficient Python scripts for data manipulation and model implementation. Work with teams to visualize and present data insights and model outputs. Collaborate with mentors and senior data scientists to solve real business problems. Contribute to building and maintaining internal AI tools and dashboards . Required Skills & Qualifications: Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. Solid foundation in Python programming . Understanding of machine learning algorithms (e.g., regression, classification, clustering). Familiarity with libraries like pandas, numpy, scikit-learn, matplotlib , and TensorFlow or PyTorch is a plus. Strong analytical and problem-solving skills. Good communication and teamwork abilities. Preferred (Bonus) Skills: Experience with Jupyter notebooks or Google Colab . Exposure to SQL , Git , or cloud platforms (e.g., AWS, GCP, or Azure). Participation in AI/ML competitions (e.g., Kaggle) or academic projects. Job Types: Full-time, Internship Contract length: 6 months Pay: ₹1,000.00 - ₹3,000.00 per month Benefits: Flexible schedule Work from home Schedule: Day shift Monday to Friday Weekend availability Work Location: In person Application Deadline: 07/06/2025

Dataspace Academy is seeking a passionate and knowledgeable Data Science & Analytics Trainer to join our team in Kolkata. The ideal candidate should have a strong foundation in data science concepts, hands-on experience with relevant tools and languages, and a keen interest in teaching and mentoring students or professionals. Working Days - 6 Days (including Sat-Sun) Week Off- A day to be fixed between Mon to Fri Key Responsibilities: Deliver high-quality training sessions on Data Science, Machine Learning, and Data Analytics. Teach tools and languages such as Python, R (optional), SQL, Excel, and Power BI. Develop and update course materials, assignments, assessments, and project-based learning modules. Guide learners through hands-on projects, practical use cases, and real-time data applications. Provide mentorship, doubt-clearing sessions, and project feedback to learners. Stay updated with the latest trends, tools, and best practices in the data science field. Collaborate with the curriculum team to enhance training content and structure. Required Skills and Qualifications: Minimum 1 year of relevant experience in data science or analytics. Strong knowledge of Python, SQL, Excel, and Power BI. Experience with machine learning libraries (e.g., scikit-learn, pandas, NumPy, matplotlib). Excellent presentation, communication, and classroom management skills. Ability to break down complex topics into easy-to-understand lessons. Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. Preferred: Prior experience in training, teaching, or academic instruction is a plus. Certifications in Data Science or Analytics tools are an added advantage. Why Join Dataspace Academy? Be part of a fast-growing edtech company that’s revolutionizing career-focused learning. At Dataspace Academy, you’ll have the opportunity to shape future data professionals while continuing to grow in your own data science journey. How to Apply: Send your updated CV to sourav@dataspaceacademy.com with the subject line “Application for Data Science & Analytics Trainer – Kolkata.” Job Type: Full-time Pay: ₹15,000.00 - ₹35,000.00 per month Benefits: Paid sick time Paid time off Provident Fund Work Location: In person

TCS is Hiring for Generative AI Engineer @ Mumbai (Thane) Location Job Title: Generative AI Engineer Location: Mumbai (Thane) Experience : 1-3 Yrs Job Overview : We are seeking a talented Generative AI Engineer with 1-2 years of experience to join our team and drive the development of cutting-edge AI solutions. The ideal candidate will have hands-on experience building Gen AI applications and a strong foundation in modern AI technologies and frameworks. Technical Skills Required: Experience with cloud platforms (AWS, GCP, Azure) for AI/ML workloads Knowledge of containerization (Docker, Kubernetes) for AI application deployment Programming: Proficiency in Python with experience in AI/ML libraries GenAI Frameworks: Hands-on experience with LangChain, LangSmith, or similar frameworks LLM Integration: Experience setting up and working with various LLMs (GPT, Claude, Gemini, etc.) Vector Databases: Knowledge of Pinecone, Weaviate, Chroma, or similar vector storage solutions AI/ML Libraries: Familiarity with HuggingFace Transformers, OpenAI API, Anthropic API Data Processing: Experience with pandas, numpy, and data preprocessing techniques APIs & Integration: RESTful API development and third-party service integration Soft Skills Strong problem-solving abilities and analytical thinking Excellent communication skills for technical and non-technical stakeholders Ability to work in fast-paced, iterative development environments Collaborative mindset for cross-functional team projects AI Application Development Design and develop intelligent chatbots and conversational AI systems for various business applications Build and deploy social media analysis tools using natural language processing and sentiment analysis Implement AI-powered content generation and analysis systems Create and maintain AI agents for task automation and workflow optimization LLM Integration & Optimization Set up, configure, and fine-tune Large Language Models (LLMs) for specific use cases Implement prompt engineering techniques to optimize model performance Integrate various LLM APIs (OpenAI, Anthropic, Google, etc.) into applications Develop custom model pipelines and orchestration workflows Security & Governance Implement AI security guardrails and content filtering systems Design and deploy safety mechanisms for AI-generated content Ensure compliance with AI ethics and responsible AI practices Monitor and mitigate potential risks in AI applications Technical Infrastructure Build and maintain vector databases for semantic search and retrieval systems Implement Retrieval-Augmented Generation (RAG) architectures Work with Model Context Protocol (MCP) for enhanced AI capabilities Design scalable AI systems and optimize performance for production environments Framework & Tool Utilization Develop applications using LangChain and LangSmith frameworks Build custom AI workflows and chains for complex use cases Integrate with various AI/ML platforms and services Maintain and optimize existing AI codebases Show more Show less

Roles & Responsibilities: AI/ML Development: 1. Model Development and Training: - Design, develop, and train machine learning models and algorithms to solve specific business problems. - Implement various machine learning techniques including supervised, unsupervised, and reinforcement learning. 2. Data Preprocessing and Analysis: - Perform data cleaning, transformation, and preprocessing to prepare data for model training. - Analyze and interpret complex data sets to identify patterns and trends. - NLP, nltk and NER are preferred. 3. Model Evaluation and Optimization: - Evaluate model performance using appropriate metrics and fine-tune models to improve accuracy and efficiency. - Implement model optimization techniques such as hyperparameter tuning and feature engineering. 4. Deployment and Maintenance: - Deploy machine learning models into production environments ensuring scalability and reliability. - Monitor and maintain models to ensure they continue to perform well over time. Python Development: Software Development: - Write clean, maintainable, and efficient Python code. - Develop and maintain Python-based applications, APIs(Flask and Fast API preferred) , and microservices. Code Review and Mentorship: - Conduct code reviews to ensure adherence to best practices and coding standards. - Mentor junior developers and provide guidance on best practices and development techniques. Integration and Testing: - Integrate machine learning models with existing systems and applications. - Develop and execute unit tests, integration tests, and end-to-end tests to ensure software quality. Automation and Scripting: - Automate repetitive tasks and workflows using Python scripts. - Develop and maintain automation tools and frameworks. Collaboration and Communication: - Collaborate with data scientists, data engineers, product managers, and other stakeholders to understand requirements and deliver solutions. - Participate in design and architecture discussions to shape the direction of projects. Documentation and Reporting: - Document code, processes, and methodologies to ensure knowledge sharing and maintainability. - Communicate findings, progress, and results to stakeholders through reports and presentations. Continuous Learning and Improvement: 1. Stay Updated with Industry Trends: - Keep up-to-date with the latest developments in AI/ML and Python technologies. - Experiment with new tools, libraries, and frameworks to improve existing solutions and processes. Problem Solving and Innovation: 1. Innovative Solutions: - Identify opportunities to apply AI/ML techniques to solve new and existing problems. - Propose and implement innovative solutions to improve business processes and outcomes. 2. Technical Challenges: - Tackle complex technical challenges and provide effective solutions. - Troubleshoot and resolve issues related to machine learning models and Python applications. Mandatory Skills: Strong proficiency in Python and its libraries (e.g., NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch). NLP, nltk and NER hand on knowledge is required. Experience with data preprocessing, feature engineering, and model evaluation. Knowledge of software development principles, design patterns, and best practices. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Ability to work independently and as part of a team. Continuous learning mindset and adaptability to new technologies.

The Team : As a member of the Data Transformation - Cognitive Engineering team you will work on building and deploying ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead deployment of AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. Whats in it for you: Be a part of a global company and build solutions at enterprise scale Lead a highly skilled and technically strong team (including leadership) Contribute to solving high complexity, high impact problems Build production ready pipelines from ideation to deployment Responsibilities: Design, Develop and Deploy ML powered products and pipelines Mentor a team of Senior and Junior data scientists ML Engineers in delivering large scale projects Play a central role in all stages of the AI product development life cycle, including: Designing Machine Learning systems and model scaling strategies Research & Implement ML and Deep learning algorithms for production Run necessary ML tests and benchmarks for model validation Fine-tune, retrain and scale existing model deployments Extend existing ML librarys and write packages for reproducing components Partner with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Interpret results and present them to business leaders Manage production pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Lead and mentor by example, including project scrums Technical Requirements: Proven track record as a senior lead ML engineer Expert proficiency in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Excellent exposure to large scale model deployment strategies and tools Excellent knowledge of ML & Deep Learning domain Solid exposure to Information Retrieval, Web scraping and Data Extraction at scale Exposure to the following technologies - R-Shiny/Dash/Streamlit, SQL, Docker, Airflow, Redis, Celery, Flask/Django/FastAPI, PySpark, Scrapy Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Open to learning new technologies and programming languages as required A Masters PhD from a recognized institute in a relevant specialization Good to have: 6-7+ years of relevant experience in ML Engineering Prior substantial experience from the Economics/Financial industry Prior work to show on Github, Kaggle, StackOverflow etc.

About the Role: Grade Level (for internal use): 09 The Team: As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. The Impact: The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. Whats in it for you: Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Key Responsibilities Design, Develop and Deploy ML powered products and pipelines Play a central role in all stages of the data science project life cycle, including: Identification of suitable data science project opportunities Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Evaluation/interpretation of results and presentation to business leaders Performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments Training large models both for experimentation and production Develop production ready pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Spearhead deployment and model scaling strategies Stakeholder management and representing the team in front of our leadership Leading and mentoring by example including project scrums What Were Looking For: 2+ years of professional experience in Data Science domain Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Expertise in probabilistic machine learning model for classification, regression & clustering Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets. Exposure to Information Retrieval, Web scraping and Data Extraction at scale OOP Design patterns, Test-Driven Development and Enterprise System design SQL (any variant, bonus if this is a big data variant) Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Problem-solving and debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Prior work to show on Github, Kaggle, StackOverflow etc. Cloud expertise (AWS and GCP preferably) Expertise in deploying machine learning models in cloud environments Familiarity in working with LLMs

About The Role Grade Level (for internal use): 10 The Team As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. The Impact The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. What’s In It For You Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Key Responsibilities Design, Develop and Deploy ML powered products and pipelines Play a central role in all stages of the data science project life cycle, including: Identification of suitable data science project opportunities Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Evaluation/interpretation of results and presentation to business leaders Performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments Training large models both for experimentation and production Develop production ready pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Spearhead deployment and model scaling strategies Stakeholder management and representing the team in front of our leadership Leading and mentoring by example including project scrums What We’re Looking For 3+ years of professional experience in Data Science domain Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Expertise in probabilistic machine learning model for classification, regression & clustering Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets. Exposure to Information Retrieval, Web scraping and Data Extraction at scale OOP Design patterns, Test-Driven Development and Enterprise System design SQL (any variant, bonus if this is a big data variant) Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Problem-solving and debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Prior work to show on Github, Kaggle, StackOverflow etc. Cloud expertise (AWS and GCP preferably) Expertise in deploying machine learning models in cloud environments Familiarity in working with LLMs What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 315681 Posted On: 2025-05-14 Location: Gurgaon, Haryana, India Show more Show less

About The Role Grade Level (for internal use): 10 The Team As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. The Impact The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. What’s In It For You Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Key Responsibilities Design, Develop and Deploy ML powered products and pipelines Play a central role in all stages of the data science project life cycle, including: Identification of suitable data science project opportunities Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Evaluation/interpretation of results and presentation to business leaders Performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments Training large models both for experimentation and production Develop production ready pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Spearhead deployment and model scaling strategies Stakeholder management and representing the team in front of our leadership Leading and mentoring by example including project scrums What We’re Looking For 3+ years of professional experience in Data Science domain Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Expertise in probabilistic machine learning model for classification, regression & clustering Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets. Exposure to Information Retrieval, Web scraping and Data Extraction at scale OOP Design patterns, Test-Driven Development and Enterprise System design SQL (any variant, bonus if this is a big data variant) Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Problem-solving and debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Prior work to show on Github, Kaggle, StackOverflow etc. Cloud expertise (AWS and GCP preferably) Expertise in deploying machine learning models in cloud environments Familiarity in working with LLMs What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 315681 Posted On: 2025-05-14 Location: Gurgaon, Haryana, India Show more Show less

Designation: - ML / MLOPs Engineer Location: - Noida (Sector- 132) Key Responsibilities: • Model Development & Algorithm Optimization : Design, implement, and optimize ML models and algorithms using libraries and frameworks such as TensorFlow , PyTorch , and scikit-learn to solve complex business problems. • Training & Evaluation : Train and evaluate models using historical data, ensuring accuracy, scalability, and efficiency while fine-tuning hyperparameters. • Data Preprocessing & Cleaning : Clean, preprocess, and transform raw data into a suitable format for model training and evaluation, applying industry best practices to ensure data quality. • Feature Engineering : Conduct feature engineering to extract meaningful features from data that enhance model performance and improve predictive capabilities. • Model Deployment & Pipelines : Build end-to-end pipelines and workflows for deploying machine learning models into production environments, leveraging Azure Machine Learning and containerization technologies like Docker and Kubernetes . • Production Deployment : Develop and deploy machine learning models to production environments, ensuring scalability and reliability using tools such as Azure Kubernetes Service (AKS) . • End-to-End ML Lifecycle Automation : Automate the end-to-end machine learning lifecycle, including data ingestion, model training, deployment, and monitoring, ensuring seamless operations and faster model iteration. • Performance Optimization : Monitor and improve inference speed and latency to meet real- time processing requirements, ensuring efficient and scalable solutions. • NLP, CV, GenAI Programming : Work on machine learning projects involving Natural Language Processing (NLP) , Computer Vision (CV) , and Generative AI (GenAI) , applying state-of-the-art techniques and frameworks to improve model performance. • Collaboration & CI/CD Integration : Collaborate with data scientists and engineers to integrate ML models into production workflows, building and maintaining continuous integration/continuous deployment (CI/CD) pipelines using tools like Azure DevOps , Git , and Jenkins . • Monitoring & Optimization : Continuously monitor the performance of deployed models, adjusting parameters and optimizing algorithms to improve accuracy and efficiency. • Security & Compliance : Ensure all machine learning models and processes adhere to industry security standards and compliance protocols , such as GDPR and HIPAA . • Documentation & Reporting : Document machine learning processes, models, and results to ensure reproducibility and effective communication with stakeholders. Required Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. • 3+ years of experience in machine learning operations (MLOps), cloud engineering, or similar roles. • Proficiency in Python , with hands-on experience using libraries such as TensorFlow , PyTorch , scikit-learn , Pandas , and NumPy . • Strong experience with Azure Machine Learning services, including Azure ML Studio , Azure Databricks , and Azure Kubernetes Service (AKS) . • Knowledge and experience in building end-to-end ML pipelines, deploying models, and automating the machine learning lifecycle. • Expertise in Docker , Kubernetes , and container orchestration for deploying machine learning models at scale. • Experience in data engineering practices and familiarity with cloud storage solutions like Azure Blob Storage and Azure Data Lake . • Strong understanding of NLP , CV , or GenAI programming, along with the ability to apply these techniques to real-world business problems. • Experience with Git , Azure DevOps , or similar tools to manage version control and CI/CD pipelines. • Solid experience in machine learning algorithms , model training , evaluation , and hyperparameter tuning Show more Show less

Job Role: Python Developer - ML Location: Bangalore/Mangalore - Hybrid Type: Full-Time About the Company Founded in 2004, MResult is a global digital solutions partner trusted by leading Fortune 500 companies in industries such as pharma & healthcare, retail, and BFSI. MResult’s expertise in data and analytics, data engineering, machine learning, AI, and automation help companies streamline operations and unlock business value. As part of our team, you will collaborate with top minds in the industry to deliver cutting-edge solutions that solve real-world challenges. Website: https://mresult.com/ About the Role We are looking for a skilled and motivated Python Developer to join our dynamic team. The ideal candidate should have 3-5 years of experience in software development with a strong background in building production-grade Python applications. Additionally, hands-on expertise in Streamlit for developing interactive web applications is crucial. This role also requires a basic understanding of Machine Learning concepts and proficiency in working with Pandas, NumPy, and Scikit-learn. The selected candidate will be responsible for developing, deploying, and maintaining robust, scalable Python solutions with a focus on data-driven applications and interactive dashboards. Responsibilities Develop, test, deploy, and maintain high-quality Python code for production environments. Design and build interactive web applications and dashboards using Streamlit. Perform data manipulation, cleaning, and analysis using Pandas and NumPy. Implement and work with basic ML models using Scikit-learn for classification, regression, or clustering tasks. Write efficient, well-documented, and maintainable code. Participate in code reviews and contribute to a collaborative development environment. Troubleshoot, debug, and upgrade existing systems as needed. Hands-on experience with Docker and Kubernetes (AWS EKS) is preferred. Qualifications 3-5 years of experience in software development with a strong background in building production-grade Python applications. Required Skills Strong expertise in Python programming. Experience with Streamlit for creating interactive applications. Knowledge of Machine Learning fundamentals. Proficiency in Pandas, NumPy, and Scikit-learn. Familiarity with Docker and Kubernetes (AWS EKS) is a plus. Ability to write clean, efficient, and scalable code. Strong problem-solving and analytical skills. Excellent communication and team collaboration skills. Preferred Skills Hands-on experience with Docker and Kubernetes (AWS EKS) is preferred. Pay range and compensation package Great work is rewarded, and leaders are nurtured from within. Equal Opportunity Statement MResult is an equal-opportunity employer committed to building an inclusive environment free of discrimination and harassment. Take the next step in your career with MResult — where your ideas help shape the future. ``` Show more Show less