Joining Gadgeon offers a dynamic and rewarding career experience that fosters both personal and professional growth. Our collaborative culture encourages innovation, empowering team members to contribute their ideas and expertise to cutting-edge projects. COMPUTER VISION & EDGE AI ENGINEER The CV + Edge AI Engineer develops AI solutions for visual understanding, document parsing, and multimodal processing. This role enables new use cases beyond text by integrating image, OCR, and edge-deployable AI capabilities. Key Duties/ Responsibilities Develop OCR and image processing pipelines using OpenCV, Tesseract, or AWS Textract. Train and fine-tune visual models (e.g., YOLOv8, SAM, CLIP) for internal PoCs. Integrate visual AI modules into end-to-end workflows used by LLMs or agents. Optimize models for edge deployments using ONNX, TensorRT, or TFLite. Collaborate with backend and AI teams for data structure alignment. Leadership Skills: Self-driven in visual AI exploration. Effective in prototyping and cross-functional collaboration. Ability to demonstrate impact through PoCs. Required Technical Skills: OpenCV, YOLOv8, SAM, BLIP2, Tesseract. ONNX, TensorRT, AWS Panorama, Jetson Nano. Python, PyTorch/TensorFlow, edge deployment toolchains. Experience with one or more visual AI stacks such as YOLOv8, SAM, CLIP, or equivalent. Capability to structure visual outputs for downstream agent or LLM processing. Qualification: Bachelor’s or Master's degree in Computer Science, AI/ML, Data Science, or related fields. Experience 4 + Years

Role Overview We are seeking a highly motivated AI Researcher with a Ph.D. in Mathematics or Physics to join our research team. You will contribute to the development of cutting-edge AI models applied to biological data, collaborating with scientists and engineers to drive discovery and innovation. Key Responsibilities Develop, analyze, and optimize advanced machine learning models, including deep learning and probabilistic models, tailored to biomedical applications. Conduct theoretical and applied research bridging mathematics/physics with biological systems and data. Collaborate with domain experts to frame complex biological challenges into solvable AI problems. Design and implement experiments to validate model performance on real-world biological datasets (e.g., genomics, proteomics, medical imaging). Publish findings in top-tier journals and conferences, and contribute to patents and IP development. Stay current with the latest research in AI, applied mathematics, and computational biology. Qualifications Ph.D. in Mathematics, Physics, or a closely related field. Strong background in one or more of the following: statistical mechanics, optimization, information theory, Bayesian inference, or numerical modeling. Solid programming skills in Python and experience with machine learning libraries (e.g., PyTorch, TensorFlow, JAX). Ability to work with large-scale, high-dimensional datasets. Excellent problem-solving and mathematical modeling skills. Strong communication skills and the ability to work in an interdisciplinary team. Preferred Qualifications Experience with AI applications in biology, chemistry, or healthcare. Familiarity with bioinformatics tools and biological data formats (e.g., FASTA, VCF). Previous publications or projects in applied AI research.

Joining Gadgeon offers a dynamic and rewarding career experience that fosters both personal and professional growth. Our collaborative culture encourages innovation, empowering team members to contribute their ideas and expertise to cutting-edge projects. APPLIED AI SCIENTIST The Applied AI Scientist will lead the design, tuning, and evaluation of GenAI solutions. This role focuses on creating high-quality, business-relevant AI models, including RAG pipelines, LLM integrations, and prompt optimization strategies. Key Duties/ Responsibilities Design, fine-tune, and evaluate large language model (LLM) pipelines for internal tools and customer-facing use cases. Lead prompt engineering experiments to improve output quality and reduce hallucination. Establish model evaluation frameworks using tools like Promptfoo, Trulens, LangSmith. Collaborate with Enablement and Systems Engineers to integrate AI models into reusable components. Contribute to innovation showcases and internal learning sessions. Design, develop, and evaluate traditional ML models (e.g., classification, regression, clustering) for use cases such as resume matching, anomaly detection, or recommendation systems. Perform feature engineering, preprocessing, and model training on structured datasets using tools like scikit-learn, XGBoost, or TensorFlow. Collaborate with data and engineering teams to operationalize ML models via APIs or batch workflows. Leadership Skills: Strong analytical thinking with the ability to guide AI solution design. Able to mentor engineers on GenAI concepts and best practices. Collaboration across engineering and innovation teams. Required Technical Skills: Proficiency with HuggingFace Transformers, LangChain, LlamaIndex, RAG architectures. Experience with Python, PyTorch, OpenAI API, and model evaluation tools. Familiarity with vector databases (e.g., FAISS, Weaviate, Pinecone or equivalent vector store). Prompt evaluation using LangSmith, Promptfoo, or similar frameworks. Qualification: Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field. Minimum 6 years of industry experience with at least 2 years hands-on with GenAI applications in a production or product-context environment. Experience 6 + Years

Lead Data Scientist, Operations Mumbai, India About Argus: Argus is the leading independent provider of market intelligence to the global energy and commodity markets. We offer essential price assessments, news, analytics, consulting services, data science tools and industry conferences to illuminate complex and opaque commodity markets. Headquartered in London with 1,500 staff, Argus is an independent media organisation with 30 offices in the worlds principal commodity trading hubs. Companies, trading firms and governments in 160 countries around the world trust Argus data to make decisions, analyse situations, manage risk, facilitate trading and for long-term planning. Argus prices are used as trusted benchmarks around the world for pricing transportation, commodities and energy. Founded in 1970, Argus remains a privately held UK-registered company owned by employee shareholders and global growth equity firm General Atlantic. What were looking for: Join our Generative AI team to lead a new group in India, focused on creating and maintaining AI-ready data. As the point of contact in Mumbai, you will guide the local team and ensure seamless collaboration with our global counterparts. Your contributions will directly impact the development of innovative solutions used by industry leaders worldwide, supporting text and numerical data extraction, curation, and metadata enhancements to accelerate development and ensure rapid response times. You will play a pivotal role in transforming how our data are seamlessly integrated with AI systems, paving the way for the next generation of customer interactions. What will you be doing: Lead and Develop the Team : Oversee a team of data scientists in Mumbai. Mentoring and guiding junior team members, fostering their professional growth and development. Strategic Planning : Develop and implement strategic plans for data science projects, ensuring alignment with the company's goals and objectives. AI-Ready Data Development: Design, develop, and maintain high-quality AI-ready datasets, ensuring data integrity, usability, and scalability to support advanced Generative AI models. Advanced Data Processing: Drive hands-on efforts in complex data extraction, cleansing, and curation for diverse text and numerical datasets. Implement sophisticated metadata enrichment strategies to enhance data utility and accessibility for AI systems. Algorithm Implementation & Optimization: Implement and optimize state-of-the-art algorithms and pipelines for efficient data processing, feature engineering, and data transformation tailored for LLM and GenAI applications. GenAI Application Development: Apply and integrate frameworks like LangChain and Hugging Face Transformers to build modular, scalable, and robust Generative AI data pipelines and applications. Prompt Engineering Application: Apply advanced prompt engineering techniques to optimize LLM performance for specific data extraction, summarization, and generation tasks, working closely with the Lead's guidance. LLM Evaluation Support: Contribute to the systematic evaluation of Large Language Models (LLMs) outputs, analysing quality, relevance, and accuracy, and supporting the implementation of LLM-as-a-judge frameworks. Retrieval-Augmented Generation (RAG) Contribution: Actively contribute to the implementation and optimization of RAG systems, including working with embedding models, vector databases, and, where applicable, knowledge graphs, to enhance data retrieval for GenAI. Technical Leadership : Act as a technical leader and subject matter expert for junior data scientists, providing guidance on best practices in coding and PR reviews, data handling, and GenAI methodologies. Cross-Functional Collaboration: Collaborate effectively with global data science teams, engineering, and product stakeholders to integrate data solutions and ensure alignment with broader company objectives. Operational Excellence: Troubleshoot and resolve data-related issues promptly to minimize potential disruptions, ensuring high operational efficiency and responsiveness. Documentation & Code Quality: Produce clean, well-documented, production-grade code, adhering to best practices for version control and software engineering. Skills and Experience: Leadership Experience: Proven track record in leading and mentoring data science teams, with a focus on strategic planning and operational excellence. Academic Background: Advanced degree in AI, statistics, mathematics, computer science, or a related field. Programming and Frameworks: 5+ years of hands-on experience with Python, TensorFlow or PyTorch, and NLP libraries such as spaCy and Hugging Face. GenAI Tools : 2+ years of Practical experience with LangChain, Hugging Face Transformers, and embedding models for building GenAI applications. Prompt Engineering: Deep expertise in prompt engineering, including prompt tuning, chaining, and optimization techniques. LLM Evaluation: Experience evaluating LLM outputs, including using LLM-as-a-judge methodologies to assess quality and alignment. RAG and Knowledge Graphs: Practical understanding and experience using vector databases. In addition, familiarity with graph-based RAG architectures and the use of knowledge graphs to enhance retrieval and reasoning would be a strong plus. Cloud: 2+ years of experience with Gemini/OpenAI models and cloud platforms such as AWS, Google Cloud, or Azure. Proficient with Docker for containerization. Data Engineering: Strong understanding of data extraction, curation, metadata enrichment, and AI-ready dataset creation. Collaboration and Communication : Excellent communication skills and a collaborative mindset, with experience working across global teams. Whats in it for you: Competitive salary Hybrid Working Policy (3 days in Mumbai office/ 2 days WFH once fully inducted) Group healthcare scheme 18 days annual leave 8 days of casual leave Extensive internal and external training Hours: This is a full-time position operating under a hybrid model, with three days in the office and up to two days working remotely. The team supports Argus key business processes every day, as such you will be required to work on a shift-based rota with other members of the team supporting the business until 8pm. Typically support hours run from 11am to 8pm with each member of the team participating up to 2/3 times a week. For more details about the company and to apply please make sure you send your CV and cover letter via our website: www.argusmedia.com/en/careers/open-positions By submitting your job application, you automatically acknowledge and consent to the collection, use and/or disclosure of your personal data to the Company. Argus is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, sexual orientation, gender identity, disability or veteran status.

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations. Your Team's Impact Join our dynamic Machine Learning and AI team, where we build innovative models and solutions that drive business transformation and unlock new opportunities. You’ll be at the forefront of AI-powered initiatives, collaborating closely with product teams to shape the future of data-driven insights. This position offers high visibility and the chance to directly influence key decisions across the organization. You will report to the Manager of AI. Working Mode: Hybrid (3 days mandatory Office) What You'll Do Technical Leadership & Strategy Lead the design, development, and deployment of machine learning models and systems at scale. Define and drive the technical roadmap for ML initiatives in alignment with business goals. Evaluate and select appropriate ML techniques, architectures, and tools for various problems (e.g., NLP, CV, tabular data). Ensure robust experimentation, validation, and performance benchmarking practices. Team Guidance & Mentorship Mentor and support junior and mid-level ML engineers, guiding them on model development, research approaches, and code quality. Conduct technical reviews of models, pipelines, and code to ensure high standards. Promote a culture of continuous learning, innovation, and scientific rigor within the team. System & Pipeline Development Architect and implement scalable ML pipelines for training, validation, inference, and monitoring. Collaborate with data engineers to ensure high-quality data ingestion, feature engineering, and labeling workflows. Contribute to MLOps practices by building reproducible, testable, and maintainable model delivery frameworks. Assist in designing, developing, and implementing machine learning models for real-world applications. Work on data collection, preprocessing, feature engineering, and model evaluation tasks. Collaborate with cross-functional teams including Data Science, Software Engineering, and Product. Perform exploratory data analysis (EDA) and prepare datasets for training/testing. Contribute to the deployment and monitoring of models in production environments. Write clean, efficient, and well-documented code in Python or similar languages. Stay updated with the latest developments in AI/ML research and tools. Assist in model optimization, hyperparameter tuning, and performance scaling. Stay current with the latest industry trends and technologies, contributing innovative ideas to ongoing projects. Test and validate models to ensure their reliability and effectiveness in production environments. Work with large datasets to extract meaningful insights using various statistical and ML techniques. What We're Looking For Required Skills Bachelor’s or master’s degree in computer science, Engineering, or a related field is required. 5+ years of experience in software development, with a focus on systems handling large-scale data operations. Strong foundation in Machine Learning concepts (supervised/unsupervised learning, regression, classification, clustering, etc.). Good programming skills in Python (or similar languages like R, Java, C++). Hands-on experience with ML libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch, Keras). Understanding of data structures, algorithms, and basic mathematics/statistics and database management systems. Excellent verbal and written communication skills, capable of articulating complex concepts to technical and non-technical audiences. Familiarity with data handling tools (e.g., Pandas, NumPy, SQL). Good analytical, problem-solving, and communication skills. Ability to learn new technologies quickly and work independently or as part of a team. Ability to work collaboratively in a team environment, contributing to group success while expanding personal skills. Desired Skills Exposure to deep learning, NLP, computer vision, or reinforcement learning projects (academic or internships). Knowledge of cloud platforms like AWS, Azure, or GCP. Familiarity with version control systems (e.g., Git). Understanding of MLOps concepts and pipelines (bonus) What's In It For You At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means: The opportunity to join an S&P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start-up. Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and company-wide wellness days. Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives. A global community dedicated to volunteerism and sustainability, where collaboration is always encouraged, and individuality drives solutions. Career progression planning with dedicated time each month for learning and development. Business Resource Groups open to all employees that serve as a catalyst for connection, growth, and belonging. Learn more about our benefits here . Salary is just one component of our compensation package and is based on several factors including but not limited to education, work experience, and certifications. Company Overview: FactSet (NYSE:FDS | NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn . At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.

Your opportunity As a crucial member of our team, you'll play a pivotal role across the entire machine learning lifecycle, contributing to our conversational AI bots, RAG system and traditional ML problem solving for our observability platform. Your tasks will encompass both operational and engineering aspects, including building production-ready inference pipelines, deploying and versioning models, and implementing continuous validation processes. On the LLM side you'll fine-tune generative AI models, design agentic language chains, and prototype recommender system experiments. What you'll do In this role, you'll have the opportunity to contribute significantly to our machine learning initiatives, shaping the future of AI-driven solutions in various domains. If you're passionate about pushing the boundaries of what's possible in machine learning and ready to take on diverse challenges, we encourage you to apply and join us in our journey towards innovation. This role requires Proficiency in software engineering design practices. Experience working with transformer models and text embeddings. Proven track record of deploying and managing ML models in production environments. Familiarity with common ML/NLP libraries such as PyTorch, Tensorflow, HuggingFace Transformers, and SpaCy. 5+ years of developing production-grade applications in Python. Proficiency in Kubernetes and containers. Familiarity with concepts/libraries such as sklearn, kubeflow, argo, and seldon. Expertise in Python, C++, Kotlin, or similar programming languages. Experience designing, developing, and testing scalable distributed systems. Familiarity with message broker systems (e.g., Kafka, RabbitMQ). Knowledge of application instrumentation and monitoring practices. Experience with ML workflow management, like AirFlow, Sagemaker, etc. Fine-tuning generative AI models to enhance performance. Designing AI Agents for conversational AI applications. Experimenting with new techniques to develop models for observability use cases Building and maintaining inference pipelines for efficient model deployment. Managing deployment and model versioning pipelines for seamless updates. Developing tooling to continuously validate models in production environments. Bonus points if you have Familiarity with the AWS ecosystem. Past projects involving the construction of agentic language chains Please note that visa sponsorship is not available for this position. Fostering a diverse, welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best, most authentic selves to work every day. We celebrate our talented Relics’ different backgrounds and abilities, and recognize the different paths they took to reach us – including nontraditional ones. Their experiences and perspectives inspire us to make our products and company the best they can be. We’re looking for people who feel connected to our mission and values, not just candidates who check off all the boxes. If you require a reasonable accommodation to complete any part of the application or recruiting process, please reach out to resume@newrelic.com. We believe in empowering all Relics to achieve professional and business success through a flexible workforce model. This model allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or hybrid. Our hiring process In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification. Note: Our stewardship of the data of thousands of customers’ means that a criminal background check is required to join New Relic. We will consider qualified applicants with arrest and conviction records based on individual circumstances and in accordance with applicable law including, but not limited to, the San Francisco Fair Chance Ordinance. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with New Relic. Candidates are evaluated based on qualifications, regardless of race, religion, ethnicity, national origin, sex, sexual orientation, gender expression or identity, age, disability, neurodiversity, veteran or marital status, political viewpoint, or other legally protected characteristics. Review our Applicant Privacy Notice at https://newrelic.com/termsandconditions/applicant-privacy-policy

Preferred Qualifications: * Experience with Agentic Frameworks such LangGraph, AutoGen, CrewAI * Experience with cloud-based AI platforms, such as AWS or Azure * Knowledge of containerization technologies, such as Docker * Familiarity with agile development methodologies, such as Scrum or Kanban * Experience with AI-related tools and frameworks, such as TensorFlow or PyTorch * Strong understanding of software design patterns, principles, and best practices * Experience with DevOps practices, including continuous integration and continuous deployment (CI/CD) * Certification in AI, machine learning, or related fields, such as Certified Data Scientist or Certified AI Engineer Job Responsibilities: * Lead the development of Gen AI solutions, including design, implementation, and deployment of AI models and systems * Collaborate with cross-functional teams to identify business problems and develop AI-powered solutions to drive growth and efficiency * Design and implement scalable and efficient AI solutions, leveraging technologies such as LangChain, Agentic AI, RAG, Event driven architecture using Kafka etc. * Develop and maintain large-scale AI systems, ensuring high performance, reliability, and security * Lead and mentor a team of AI developers, providing guidance and expertise to ensure high-quality deliverables * Stay up-to-date with the latest advancements in Gen AI, Prompt Engineering, and related technologies, applying this knowledge to drive innovation and improvement * Develop and maintain technical documentation, including architecture diagrams, design documents, and technical guides * Participate in code reviews, ensuring high-quality code and adherence to coding standards and best practices Required Qualifications: * Bachelor's or Master's degree in Computer Science, Engineering, or related field (B.E/B.Tech/M.E/M.Tech/MCA) * At least 5-8 years of experience in software development, with a minimum of 2 years of experience in Gen AI * Strong proficiency in LangChain, Python, Gen AI, Agentic AI, and Prompt Engineering * Excellent communication, teamwork, problem-solving, and leadership skills Tech Skill: LangChain, Python, Fast/Flask API, Gen AI, Agentic AI, Advanced Prompt Engineering, Machine Learning, SQL, Kafka Soft Skill: Communication, Team Work, Problem Solving Show more Show less

To develop and deliver codes for the work assigned in accordance with time| quality and cost standards. (1.) Key Responsibilities 1. To maintain existing features, troubleshoot bugs , resolve ad-hoc requests and provide support for enhancement (major and minor) /new developments based on business/ client requirements as well as from the functional and technical team of HCL on the project. 2. To provide client support by presenting data, information, ticket resolution and day to day support activities like monitoring client requirements as well as keeping track of schedule for on time delivery of assigned tasks as per the defined quality standards. 3. To perform activities related to enhancement creation of documents for CMMi and client requirements 4. To provide technical guidance to junior developers 5. To interact with the customer and internal teams to gather requirements for development purposes. No. of Positions 7 Skill (Primary) Data Science-Artificial Intelligence-AI-ML modelling Auto req ID 1544568BR Skill Level 3 (Secondary Skill 1) Data Science-Artificial Intelligence-PyTorch Skill Level 3 (Secondary Skill 2) Data Science-Advanced Analytics-Python

Dear candidate, We are the hiring partner to one of esteemed clients requiring for below position. Kindly, go through the details before applying. Role : Big Data Administrator Exp- 5+ years Location –Hyderabad (Hybrid) Position Type: Contract (Upto 12 months- extendable) Role: The candidate has a strong technical background in Linux, networking, and security , along with hands-on experience in AWS cloud infrastructure . Proficiency in Infrastructure as Code (Terraform, Ansible) and have managed large-scale BigData clusters (Cloudera, Hortonworks, EMR). Their expertise includes Hadoop Distributed File System (HDFS), YARN, and various Hadoop file formats (ORC, Parquet, Avro). D eep knowledge of Hive, Presto, and Spark compute engines , with the ability to optimize complex SQL queries . They also support Spark with Python (PySpark) and R (SparklyR, SparkR) . Additionally, they have solid coding experience in scripting languages (Shell, Python) and have worked with Data Analysts and Scientists using tools like SAS, R-Studio, JupyterHub, and H2O . Nice-to-have skills include workflow management tools (Airflow, Oozie), analytical libraries (Pandas, Numpy, Scipy, PyTorch), and experience with Packer, Chef, Jenkins . They also have prior knowledge of Active Directory and Windows-based VDI platforms (Citrix, AWS Workspaces). Job Type: Contractual / Temporary Contract length: 6 months Pay: ₹700,000.00 - ₹1,200,000.00 per year Application Question(s): What is your total experience ? How soon you can join ? You understand that this is contract position and your are fine with the same ? What is your current/last salary ? What salary you are expecting now? Work Location: In person

About us: Headquartered in the Silicon Valley with offices in London, Hyderabad and Singapore, Accellor is a Microsoft Gold Partner and a premier Salesforce Partner that uses best-of-breed cloud technology to deliver superior customer engagement and business effectiveness for clients. We bring a deep understanding of Financial, Retail, High Tech, Healthcare, and Retail industries, rolling out end-to-end implementation of salesforce.com and powerful third-party apps. We also build products that are sold on the AppExchange and used by both boutique businesses and Fortune 500 companies. Accellor has been honored with the prestigious “ Company of the Year” award for "excellence in IT Services " at the Indo Global Business Excellence Awards. Majority of our team members based at Hyderabad, delivering best of breed cloud solutions to customers in the US, UK and APAC region. We’ve created an atmosphere that encourages curiosity, constant learning, and persistence. We encourage our employees to grow and explore their interests. We cultivate an environment of collaboration, autonomy and delegation – we know our people have a strong work ethic and a sense of pride and ownership over their work. They are passionate, eager, and motivated – focused on building the perfect solution but never losing sight of the bigger picture. Role Summary: The Trainee Data & AI Engineer will work closely with our data science and engineering teams to develop and deploy AI models that can simulate human intelligence processes. This role is ideal for individuals who are passionate about AI and machine learning and are eager to gain hands-on experience. Key Responsibilities: Assist in designing and developing AI models and algorithms from scratch. Implement AI solutions that integrate with existing business systems to enhance functionality and user interaction. Manage the data flow and infrastructure for effective AI deployment. Collaborate across teams to align AI initiatives with organizational goals. Stay current with AI trends and suggest improvements to existing systems and workflows Requirements Degree in Computer Science, Engineering, or a related field (2023, 2024 & 2025 pass outs only) Basic understanding of machine learning, deep learning, NLP, and computer vision. Familiarity with programming languages such as Python, Java, and R. Knowledge of AI frameworks such as TensorFlow or PyTorch is advantageous. Knowledge on databases and SQL. Strong problem-solving skills and ability to work in a team environment. Candidates will have to undergo a 4-step interview process that includes: 1) Online technical test, 2) Group discussion, 3) Technical discussion and 4) Managerial interview. Selected candidates from Online test will be invited to our Hyderabad office for further process with short notice. Note: All the communications regarding the process will be communicated through E-mails. Request you to check your mails regularly and be updated. Virtual / Remote interviews and reschedules will not be entertained. Benefits Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centres. Work-Life Balance: Accellor prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training, Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Personal Accident Insurance, Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses

Fractal is one of the most prominent players in the Artificial intelligence space. Fractal's mission is to power every human decision in the enterprise and brings Al, engineering, and design to help the world's most admire Fortune 500® companies. Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assist CEOs and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, Eugenie.ai to find anomalies in high-velocity data, Samya.ai to drive next-generation Enterprise Revenue Growth Manage- ment, Senseforth.ai to automate customer interactions at scale to grow top-line and bottom-line and Analytics Vidhya is the largest Analytics and Data Science community offering industry-focused training programs. Fractal has more than 3600 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, a leader in Analytics & Al Services Specialists Peak Matrix 2021 by Everest Group and recognized as an "Honorable Vendor" in 2022 Magic Quadrant™ for data & analytics by Gartner. For more information, visit fractal.ai Job Description: (Senior Data Scientist – Generative AI) We’re looking for a passionate Data Scientist – Generative AI who thrives at the intersection of AI research & real-world applications. This role is ideal for someone who’s eager to build, experiment & scale LLM-powered solutions in enterprise environments. This role blends hands-on Problem solving, Research, Engineering & collaboration across multidisciplinary team driving innovation across industries/domains. Responsibilities: • Design and implement advanced solutions utilizing Large Language Models (LLMs). • Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. • Conduct research and stay informed about the latest developments in generative AI and LLMs. • Develop and maintain code libraries, tools, and frameworks to support generative AI development. •Participate in code reviews and contribute to maintaining high code quality standards. • Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. • Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. • Possess strong analytical and problem-solving skills. • Demonstrate excellent communication skills and the ability to work effectively in a team environment. Primary Skills: • Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. AND/OR • Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. • Generative AI: o Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents) Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. • Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. • Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git Must Have Skills 5–10 years of experience in Data Science - NLP, with at least 2 years in GenAI/LLMs Proficiency in Python, SQL & ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) Hands-on experience with GenAI tools like LangChain, LlamaIndex, RAG pipelines, Prompt Engineering & vector databases (e.g., FAISS, ChromaDB) Strong understanding of NLP techniques including embeddings, topic modeling, text classification, semantic search, summarization, Q&A, chatbots, etc Experience with cloud platforms (GCP, AWS, or Azure) and CI/CD pipelines Experience integrating LLMs via Azure OpenAI, Google Vertex AI or AWS Bedrock Ability to work independently & drive projects end-to-end from development to production Strong problem-solving, data storytelling & communication skills Show more Show less

Job Title: Data Scientist – AI & Algorithms Location: On-site – New Delhi Company: WaysAhead Technology Pvt. Ltd. Vertical: Data Engineering & AI Innovation Experience: 2–6 years Open position: 1 Job Description: We are looking for an experienced Data Scientist with a strong foundation in algorithms, large language models (LLMs), and computer vision. The ideal candidate will be proficient in Python and capable of building scalable, production-grade AI solutions from development to deployment. You will be working at the intersection of retail intelligence and cutting-edge AI, contributing to the design of smart systems and APIs for real-time business impact. Key Responsibilities: Design and implement machine learning models for classification, recommendation, NLP, or vision-based tasks. Develop and fine-tune LLMs or implement RAG-based systems. Write clean, modular Python code for algorithmic models and data workflows. Develop REST APIs for model access and integrate them into existing platforms. Deploy models to production environments using Docker, FastAPI, or Flask. Collaborate with product and business teams to understand use cases and deliver AI-driven features. Skill Set: Must have skills: Python (Advanced) Machine Learning (Sklearn) Algorithm Development LLMs / NLP / Transformers REST API Development Model Deployment (Docker etc.) FastAPI / Flask HuggingFace / OpenAI APIs MsSQL RAG / Fine-tuning pipelines Good to have skills: PostgreSQL Git / CI-CD basics Prompt Engineering / Embedding use LangChain, Unsloth, Vector DBs (FAISS) Streamlit / Gradio UI wrappers Nice to have skills: Azure / AWS ML deployment pipelines ONNX / Model Optimization Computer Vision (OpenCV, YOLO, etc.) PyTorch / TensorFlow (Intermediate) Job Types: Full-time, Permanent, Contractual / Temporary Contract length: 12 months Pay: ₹400,000.00 - ₹1,200,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Quarterly bonus Work Location: In person Expected Start Date: 10/06/2025

About this Role The Senior Data Scientist in the Interaction Insights team will help in generating actionable insights for driving the creation of fact-based research from client interactions and other Gartner internal and external data assets. At the core we are looking for a person who is passionate about learning new technologies, text analytics, digging into rows of unstructured data, drawing recommendations & actionable insights, and using creative ways to visualize & interpret it for research. This person will have a flair of innovation along with a strong experience in Python, Data Science, NLP, Machine Learning, Deep Learning, LLMs and the analysis of unstructured data. They would be working closely with various stakeholders to explore opportunities to optimize data mining techniques and improve the accuracy of insights generated using NLP or various types of Machine Learning/Deep Learning/LLM models. What you will do: Execute large-scale, high-impact data science projects, translating research objectives into actionable data and insights from both internal and external data assets Provide ad hoc modeling and analytical insights to inform strategic and operational initiatives Analyze unstructured text data to discover insights and patterns using advanced data science techniques, including machine learning (ML) and natural language processing (NLP) Interpret data-driven patterns and insights in alignment with original business objectives Address critical business challenges by leveraging data science, ML, and NLP methodologies Interact with internal and external stakeholders to refine and enhance findings Collaborate as part of a team in a fast-paced environment, meeting strict SLAs and turnaround times Develop a deep understanding of the technology industry and maintain expertise in the data science domain Ensure delivery of high-quality data science solutions with a focus on accuracy and coverage Be accountable for the scalability, stability, and business adoption of data science solutions Maintain proper documentation and adhere to code reusability and best practices Take ownership of algorithms, including their ongoing enhancement and optimization to meet evolving business requirements Stay current with advancements in AI/ML models and technologies, and apply disruptive data science solutions as appropriate. Collaborate with engineering and product teams to launch MVPs and iterate quickly based on feedback Independently plan, drive and execute data science projects that deliver clear and measurable business value What you will need: Education - Master’s in engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, Computer Science with focus on AI or Data Science; BE/BTech or Bachelors (Comp. Sc./AI) with relevant experience Total experience - 7 to 10 years of which 5+ yrs as hands-on Data Science, AI/ML experience on real-world industry problems, with focus on Text Mining and Natural Language Processing/text analytics Advanced proficiency in Python and SQL, with experience using key data science libraries and tools (e.g., Pandas, Numpy, scikit-learn, TensorFlow, PyTorch, Spacy, NLTK, Scipy) Hands-on experience with machine learning, deep learning, NLP (including LLMs/GenAI), and applying these models to real-world business problems Strong background in data preparation, including cleaning, normalization, and handling unstructured text data for modeling Experience with cloud computing platforms such as AWS or Azure for model training, testing, and deployment Familiarity with both relational (e.g., Oracle) and NoSQL databases (e.g., MongoDB, graph databases), as well as distributed computing frameworks like Spark Proficiency in best coding practices and code/repo management using GitHub or Bitbucket Basic skills in Power BI, Excel, and PowerPoint Strong analytical, critical thinking, and problem-solving skills, with the ability to extract insights from complex and unstructured datasets Demonstrated ability to collaborate across product, engineering, and data science teams, and to influence stakeholders at all levels Excellent communication skills in both technical and business contexts Self-motivated, eager to learn, adaptable to feedback, and comfortable working in a fast-paced, milestone-driven environment What you will get: Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more! Collaborative, team-oriented culture that embraces diversity Professional development and unlimited growth opportunities #LI-PM3 Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work . What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com . Job Requisition ID:100853 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

Company Description Doozy Robotics designs flexible and intelligent autonomous mobile robots for the industry. The company offers Humanoid and Autonomous Robots that assist in both commercial and industrial applications. Doozy Robotics is at the forefront of innovation, developing advanced robotics solutions tailored to enhance efficiency and productivity. As a fast-growing leader in the robotics field, Doozy Robotics provides cutting-edge technologies and solutions to meet the evolving needs of various industries. Role Description Key Responsibilities Perception System Development: Design and implement perception algorithms for object detection, tracking, and scene understanding using data from cameras, LiDAR, radar, and other sensors. Sensor Fusion: Develop sensor fusion techniques to integrate data from multiple sources, enhancing the accuracy and reliability of environmental perception. Computer Vision: Apply computer vision methodologies for real-time image processing, feature extraction, and pattern recognition in dynamic environments. AI/ML Model Development: Build and train machine learning models for tasks such as semantic segmentation, depth estimation, and anomaly detection. Robotics Integration: Collaborate with robotics engineers to integrate perception systems into autonomous platforms, ensuring seamless operation in real-world scenarios. Collaboration: Work closely with cross-functional teams to develop AI-powered vision systems, contributing to the advancement of autonomous technologies. Qualifications Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field. Experience: 3+ years of hands-on experience in AI/ML development, computer vision, and sensor fusion. Technical Skills: Proficiency in programming languages such as Python, C++, and ROS. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Familiarity with sensor technologies (e.g., LiDAR, radar, cameras) and their integration. Knowledge of SLAM, 3D reconstruction, and path planning algorithms. Soft Skills: Strong problem-solving abilities, effective communication, and a collaborative mindset. Show more Show less

Skill Sets: Expertise in ML/DL, model lifecycle management, and MLOps (MLflow, Kubeflow) Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and Hugging Face models Strong experience in NLP, fine-tuning transformer models, and dataset preparation Hands-on with cloud platforms (AWS, GCP, Azure) and scalable ML deployment (Sagemaker, Vertex AI) Experience in containerization (Docker, Kubernetes) and CI/CD pipelines Knowledge of distributed computing (Spark, Ray), vector databases (FAISS, Milvus), and model optimization (quantization, pruning) Familiarity with model evaluation, hyperparameter tuning, and model monitoring for drift detection Roles and Responsibilities: Design and implement end-to-end ML pipelines from data ingestion to production Develop, fine-tune, and optimize ML models, ensuring high performance and scalability Compare and evaluate models using key metrics (F1-score, AUC-ROC, BLEU etc) Automate model retraining, monitoring, and drift detection Collaborate with engineering teams for seamless ML integration Mentor junior team members and enforce best practices Job Type: Full-time Pay: Up to ₹1,100,000.00 per year Schedule: Day shift Monday to Friday Application Question(s): How soon can you join us Experience: Total: 4 years (Required) Data Science roles: 3 years (Required) Work Location: In person

Job Description: AI/ML Developer Overview We are looking for a highly skilled and experienced AI/ML Developer to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask, with expertise in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF), a solid understanding of machine learning concepts, and hands-on experience with tools like PyTorch, TensorFlow, and transformer architectures are essential. Key Responsibilities : ● Develop and maintain web applications using Django and Flask frameworks. ● Design and implement RESTful APIs using Django Rest Framework (DRF). ● Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation. ● Build and integrate APIs for AI/ML models into existing systems. ● Create scalable machine learning models using frameworks like PyTorch, TensorFlow, and scikit-learn. ● Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases. ● Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization. ● Deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker. ● Ensure the scalability, performance, and reliability of applications and deployed models. ● Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions. ● Write clean, maintainable, and efficient code following best practices. ● Conduct code reviews and provide constructive feedback to peers. ● Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML. Required Skills and Qualifications : ● Bachelor’s degree in Computer Science, Engineering, or a related field. ● 3+ years of professional experience as a Python Developer. ● Proficient in Python with a strong understanding of its ecosystem. ● Extensive experience with Django and Flask frameworks. ● Hands-on experience with AWS services for application deployment and management. ● Strong knowledge of Django Rest Framework (DRF) for building APIs. ● Expertise in machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn. ● Experience with transformer architectures for NLP and advanced AI solutions. ● Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). ● Familiarity with MLOps practices for managing the machine learning lifecycle. ● Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus. ● Excellent problem-solving skills and the ability to work independently and as part of a team. ● Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders. Interested candidate can share their updated resume at manpreet.kaur@chicmicstudios.in or can call me at 9875952835 Thanks Job Type: Full-time Benefits: Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Work Location: In person

Company: Chicmic Studios Job Role: Python Machine Learning & AI Developer Experience Required: 3+ Years We are looking for a highly skilled and experienced Python Developer to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask, with expertise in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF), a solid understanding of machine learning concepts, and hands-on experience with tools like PyTorch, TensorFlow, and transformer architectures are essential. Key Responsibilities Develop and maintain web applications using Django and Flask frameworks. Design and implement RESTful APIs using Django Rest Framework (DRF) Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation. Build and integrate APIs for AI/ML models into existing systems. Create scalable machine learning models using frameworks like PyTorch , TensorFlow , and scikit-learn . Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases. Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization. Deploy and manage machine learning models in production environments using tools like TensorFlow Serving , TorchServe , and AWS SageMaker . Ensure the scalability, performance, and reliability of applications and deployed models. Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions. Write clean, maintainable, and efficient code following best practices. Conduct code reviews and provide constructive feedback to peers. Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML. Required Skills and Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field. 3+ years of professional experience as a Python Developer. Proficient in Python with a strong understanding of its ecosystem. Extensive experience with Django and Flask frameworks. Hands-on experience with AWS services for application deployment and management. Strong knowledge of Django Rest Framework (DRF) for building APIs. Expertise in machine learning frameworks such as PyTorch , TensorFlow , and scikit-learn . Experience with transformer architectures for NLP and advanced AI solutions. Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with MLOps practices for managing the machine learning lifecycle. Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders. Contact : 9875952836 Office Location: F273, Phase 8b Industrial Area Mohali, Punjab. Job Type: Full-time Schedule: Day shift Monday to Friday Work Location: In person

About The Role Grade Level (for internal use): 11 The Role: Foreseer AI – Manager II The Team: The Foreseer team delivers digital transformation solutions at SPGMI for information extraction from structures and semi structured documents and websites. Foreseer is a human in the loop platform that combines latest AI/ML advances with a state-of-the-art UI for delivering multiple projects, all powered by a core distributed, cloud native, auto scalable framework. Team comprises of experts in Java and Python language and ML engineers. Responsibilities Include Support and foster a quality-first, agile culture that is built on partnership, trust and sharing Design, develop and maintain functionalities to create new solutions on the platform. Learning and understanding all aspects of the framework and the project deliverables. Be technically deep and provide input on architecture, design and code. Be responsible for driving technical design, architecture and implementation of new features and iterations of your project. Implement security measures and compliance standards to protect sensitive data and ensure adherence to industry regulations. Ensure the use of standards, governance and best practices in the industry to deliver high quality scalable solutions. Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills. Experience & Qualifications BS or MS degree in Computer Science or Information Technology or equivalent. Proven experience in generative AI, machine learning, and data transformation. Strong proficiency in Python and familiarity with AI libraries (e.g., TensorFlow, PyTorch). 8+ years hands on experience with Java, J2EE and related frameworks and technologies (Spring, Restful services, Spring Boot, Spring JPA, Spring Security, MVC etc.). 3+ years of experience with designing, architecting and building microservices based distributed systems in serverless environment (containers platforms). 3+ years of experience in Active MQ, Kafka or other related JMS providers. 1+ years of experience in leading global teams in an agile environment. Proficient with Data structures and Algorithms. Experience with Design and development using generative AI models and algorithms using Python. Experience with Performance tuning, Thread dump analysis and code refactoring. Experience in different data base technologies (like RDBMS, NOSQL) Experience in Containerization, Kubernetes, cloud platforms, CI/CD, and deployments through CI/CD pipelines, and AWS services like S3, EKS, EC2 etc. Proficiency in the development environment, including IDE, web & application server, GIT, Azure DevOps, unit-testing tool and defect management tools Nice To Have Skills Distributed systems programming. AI/ML solutions architecture. Knowledge of GenAI Platforms and tech stacks. Hands on experience with Elastic/Redis search. Hands on experience in Python Hands on experience in Vaadin Framework. Experience in Agile and Scrum methodologies 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: 315896 Posted On: 2025-06-06 Location: Gurgaon, Haryana, India Show more Show less

Job Description: Jr. / Sr. Python Developer We are looking for a highly skilled and experienced Jr. / Sr. Python Developer to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask, with expertise in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF), a solid understanding of machine learning concepts, and hands-on experience with tools like PyTorch, TensorFlow, and transformer architectures are essential. Location : Mohali Exp : 3-8 yrs Key Responsibilities ● Develop and maintain web applications using Django and Flask frameworks. ● Design and implement RESTful APIs using Django Rest Framework (DRF). ● Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation. ● Build and integrate APIs for AI/ML models into existing systems. ● Create scalable machine learning models using frameworks like PyTorch, TensorFlow, and scikit-learn. ● Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases. ● Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization. ● Deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker. ● Ensure the scalability, performance, and reliability of applications and deployed models. ● Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions. ● Write clean, maintainable, and efficient code following best practices. ● Conduct code reviews and provide constructive feedback to peers. ● Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML. Required Skills and Qualifications ● Bachelor’s degree in Computer Science, Engineering, or a related field. ● 3-8 years of professional experience as a Python Developer. ● Proficient in Python with a strong understanding of its ecosystem. ● Extensive experience with Django and Flask frameworks. ● Hands-on experience with AWS services for application deployment and management. ● Strong knowledge of Django Rest Framework (DRF) for building APIs. ● Expertise in machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn. ● Experience with transformer architectures for NLP and advanced AI solutions. ● Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). ● Familiarity with MLOps practices for managing the machine learning lifecycle. ● Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus. ● Excellent problem-solving skills and the ability to work independently and as part of a team. ● Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders. Interested candidate can share their update resume at manpreet.kaur(at)chicmicstudios.in Thanks Job Type: Full-time Benefits: Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Supplemental Pay: Overtime pay Education: Bachelor's (Preferred) Experience: total: 3 years (Preferred) Django: 2 years (Preferred) Python: 2 years (Preferred) Work Location: In person

The Role- As an AI Engineer , you will be responsible for building and optimizing AI-first solutions that power BotPenguin’s conversational and Agentic capabilities. You will work on LLM integrations, NLP pipelines, and machine learning models, while collaborating with cross-functional teams to deliver intelligent experiences at scale. This is a high-impact role that combines engineering, research, and deployment skills to solve real-world problems using artificial intelligence. What you need for this role- Education: Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. Experience: 2–5 years of experience working in AI/ML or related software engineering roles. Technical Skills: Strong proficiency in Python and libraries such as scikit-learn, PyTorch, TensorFlow, Transformers (Hugging Face). Hands-on experience with LLMs (OpenAI, Claude, LLaMA) and building AI agents using API integrations. Experience working with NLP tasks (intent classification, text generation, embeddings, summarization). Familiarity with Vector Databases like Pinecone, FAISS, Elastic Vector DB. Understanding of Prompt Engineering, RAG (Retrieval-Augmented Generation), and embedding generation. Proficiency in building and deploying ML models via Docker/Kubernetes or cloud services like AWS/GCP. Experience with version control systems (GitLab/GitHub) and working in Agile teams. Soft Skills: Strong analytical thinking and problem-solving capabilities. Passion for research, innovation, and applying AI to real-world use-cases. Excellent communication skills and the ability to collaborate across departments. Attention to detail with a focus on model accuracy, explainability, and performance. What you will be doing- Design, build, and optimize AI-powered chatbot features and virtual agents using state-of-the-art models. Collaborate with the Product, Backend, and UI teams to integrate intelligent workflows into the BotPenguin platform. Build, evaluate, and fine-tune language models and NLP components tailored to user use-cases. Implement context-aware chat solutions using embeddings, vector stores, and retrieval mechanisms. Create internal tools for prompt testing, versioning, and debugging AI responses. Monitor model performance metrics such as latency, hallucination rate, and user satisfaction. Explore research papers, open-source innovations, and contribute to rapid experimentation. Write clean, modular, and testable code along with clear documentation for future scalability. Any other development related tasks as required for BotPenguin. Guiding, reviewing the code written by junior members in the team. Top reasons to work with us- Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. Flexible work hours and an emphasis on work-life balance. A culture that fosters creativity, ownership, and collaboration. Job Type: Full-time Pay: ₹500,000.00 - ₹800,000.00 per year Benefits: Flexible schedule Health insurance Provident Fund Schedule: Day shift Work Location: In person

Job Title: Backend Developer Internship In Mohali Location: Mohali Duration : 6 Months Stipend Details: Rs.10,000-15,000/month Job Summary: We are looking for a passionate and enthusiastic Intern to join our IT software solutions team. This internship provides an excellent opportunity to gain hands-on experience in full-stack development, working on cutting-edge technologies, including AI-driven applications. The ideal candidate should have a strong interest in both front-end and back-end development and be eager to learn and grow in a dynamic work environment. Responsibilities: Assist in the design, development, and maintenance of web applications and software solutions. Work with senior developers to implement front-end and back-end features using modern frameworks and technologies. Write clean and efficient code under the guidance of experienced developers. Participate in debugging, troubleshooting, and improving application performance. Collaborate with cross-functional teams to understand project requirements and deliver quality solutions. Learn and work on AI and machine learning integration as an additional skill. Stay updated with the latest trends and advancements in software development. Requirements: Currently pursuing or recently completed a Bachelor’s/Master’s degree in Computer Science, IT, or a related field. School Education Board should be CBSE/ICSE Basic knowledge of front-end technologies such as HTML, CSS, JavaScript, React.js, Angular, or Vue.js. Understanding of back-end development with Node.js, Python, Java, or PHP. Familiarity with databases like MySQL, PostgreSQL, or MongoDB. Exposure to cloud platforms such as AWS, Azure, or Google Cloud is a plus. Basic understanding of version control systems (Git, GitHub, GitLab). Interest in AI/ML technologies (TensorFlow, PyTorch, OpenAI, or related frameworks) is a plus. Strong problem-solving skills and eagerness to learn new technologies. Good communication and teamwork skills. Job Types: Full-time, Permanent, Internship Contract length: 6 months Pay: ₹12,000.00 - ₹15,000.00 per month Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Fixed shift Monday to Friday Morning shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Are you willing to relocate to Mohali ? What is your School Education Board ? Work Location: In person

Job Title: Python Developer Location: Mohali, Punjab Company: RevClerx About RevClerx: RevClerx Pvt. Ltd., founded in 2017 and based in the Chandigarh/Mohali area (India), is a dynamic Information Technology firm providing comprehensive IT services with a strong focus on client-centric solutions. As a global provider, we cater to diverse business needs including website designing and development, digital marketing, lead generation services (including telemarketing and qualification), and appointment setting. Job Summary: We are seeking a motivated and skilled Python Developer with 3-4 years of professional experience to join our dynamic engineering team. The ideal candidate will be proficient in developing, deploying, and maintaining robust Python-based applications and services. You will play a key role in the entire software development lifecycle, from conceptualization and design through testing, deployment, and ongoing maintenance. While core Python development is essential, we highly value candidates with an interest or experience in emerging technologies like AI/ML and Large Language Model (LLM) applications. Key Responsibilities: Design, develop, test, deploy, and maintain high-quality, scalable, and efficient Python code. Collaborate closely with product managers, designers, and other engineers to understand requirements and translate them into technical solutions. Participate in the full software development lifecycle (SDLC) using Agile methodologies. Write clean, maintainable, well-documented, and testable code. Contribute to code reviews to ensure code quality, share knowledge, and identify potential issues. Troubleshoot, debug, and upgrade existing software systems. Develop and integrate with RESTful APIs and potentially other web services. Work with databases (like Postgersql) to store and retrieve data efficiently. Optimize applications for maximum speed, scalability, and reliability. Stay up-to-date with the latest industry trends, technologies, and best practices in Python development and related fields. Potentially assist in the integration of AI/ML models or contribute to projects involving LLM-based agents or applications. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. 3-4 years of professional software development experience with a primary focus on Python. Strong proficiency in Python and its standard libraries. Proven experience with at least one major Python web framework (e.g., Django, Flask, FastAPI). Solid understanding of object-oriented programming (OOP) principles. Experience working with relational databases (e.g., PostgreSQL, MySQL) and/or NoSQL databases (e.g., MongoDB, Redis). Proficiency with version control systems, particularly Git. Experience designing, building, and consuming RESTful APIs. Familiarity with Agile development methodologies (e.g., Scrum, Kanban). Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Preferred (Good-to-Have) Qualifications: AI/ML Knowledge: Basic understanding of machine learning concepts and algorithms. Experience with relevant Python libraries for data science and ML (e.g., Pandas, NumPy, Scikit-learn). Experience integrating pre-trained ML models into applications. Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus. LLM Experience: Demonstrable interest or hands-on experience in building applications leveraging Large Language Models (LLMs). Experience working with LLM APIs (e.g., OpenAI GPT, Anthropic Claude, Google Gemini). Familiarity with LLM frameworks or libraries (e.g., LangChain, LlamaIndex). Understanding of basic prompt engineering techniques. Experience building or experimenting with LLM-powered agents or chatbots. Containerization & Orchestration: Experience with containerization technologies like Docker and orchestration tools like Kubernetes. CI/CD: Experience setting up or working with Continuous Integration/Continuous Deployment (CI/CD) pipelines (e.g., Jenkins, GitLab CI, GitHub Actions). Asynchronous Programming: Experience with Python's asynchronous libraries (e.g., asyncio, aiohttp). What We Offer: Challenging projects with opportunities to work on cutting-edge technologies especially in the field of AI. Competitive salary and comprehensive benefits package. Opportunities for professional development and learning (e.g., conferences, courses, certifications). A collaborative, innovative, and supportive work environment. Job Type: Full-time Pay: ₹16,526.97 - ₹68,399.45 per month Benefits: Food provided Health insurance Location Type: In-person Schedule: Monday to Friday Work Location: In person Speak with the employer +91 9041633697

About The Role Grade Level (for internal use): 10 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. What’s 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 library’s 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 Master’s / 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. 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 IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 315679 Posted On: 2025-05-20 Location: Gurgaon, Haryana, India Show more Show less

Job Summary: We are seeking a highly skilled Python Developer with expertise in Machine Learning and Data Analytics to join our team. The ideal candidate should have 5-6 years of experience in developing end-to-end ML-driven applications and handling data-driven projects independently. You will be responsible for designing, developing, and deploying Python-based applications that leverage data analytics, statistical modeling, and machine learning techniques. Key Responsibilities: Design, develop, and deploy Python applications for data analytics and machine learning. Work independently on machine learning model development, evaluation, and optimization. Develop ETL pipelines and process large-scale datasets for analysis. Implement scalable and efficient algorithms for predictive analytics and automation. Optimize code for performance, scalability, and maintainability. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Integrate APIs and third-party tools to enhance functionality. Document processes, code, and best practices for maintainability. Required Skills & Qualifications: 5-6 years of professional experience in Python application development. Strong expertise in Machine Learning, Data Analytics, and AI frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Proficiency in Python libraries such as Pandas, NumPy, SciPy, and Matplotlib. Experience with SQL and NoSQL databases (PostgreSQL, MongoDB, etc.). Hands-on experience with big data technologies (Apache Spark, Delta Lake, Hadoop, etc.). Strong experience in developing APIs and microservices using FastAPI, Flask, or Django. Good understanding of data structures, algorithms, and software development best practices. Strong problem-solving and debugging skills. Ability to work independently and handle multiple projects simultaneously. Good to have - Working knowledge of cloud platforms (Azure/AWS/GCP) for deploying ML models and data applications. Job Type: Full-time Pay: ₹500,000.00 - ₹1,000,000.00 per year Schedule: Fixed shift Work Location: In person Application Deadline: 30/06/2025 Expected Start Date: 01/07/2025

We are seeking a skilled and motivated Software Engineer with strong experience in Google Cloud Platform (GCP) and Python programming. In this role, you will be responsible for designing, developing, and maintaining scalable and reliable cloud-based solutions, data pipelines, or applications on GCP, leveraging Python for scripting, automation, data processing, and service integration. Bachelor’s degree in computer science or engineering 3+ plus years of software development and support experience including analysis, design, & testing. Domain experience within Automotive, Manufacturing and Supply chain Strong proficiency in Python programming, including experience with standard libraries and popular frameworks/libraries (e.g., Pandas, NumPy, FastAPI, Flask, Django, Scikit-learn, TensorFlow/PyTorch - depending on the role). Hands-on experience designing, deploying, and managing resources and services on Google Cloud Platform (GCP). Familiarity with database querying (SQL) and understanding of database concepts. Understanding of cloud architecture principles, including scalability, reliability, and security. Proven experience working effectively within an Agile development or operations team (e.g., Scrum, Kanban). Experience using incident tracking and project management tools (e.g., Jira, ServiceNow, Azure DevOps). Excellent verbal and written communication skills, with the ability to explain technical issues clearly to both technical and non-technical audiences. Excellent teamwork, written and verbal communication, and organizational skills are essential, ability to solve complex problems in a global environment Ability to multi-task effectively and prioritize work based on business impact and urgency Nice-to-Have Skills: GCP certifications (e.g., Associate Cloud Engineer, Professional Cloud DevOps Engineer, Professional Cloud Architect). Experience with other cloud providers (AWS, Azure). Experience with containerization (Docker) and orchestration (Kubernetes). Experience with database administration (e.g., PostgreSQL, MySQL). Familiarity with security best practices and tools in a cloud environment (DevSecOps). Experience with serverless technologies beyond Cloud Functions/Run. Contribution to open-source projects. Design, implement, and manage scalable, secure, and reliable infrastructure on Google Cloud Platform (GCP) using Infrastructure as Code (IaC) principles, primarily with Terraform. Develop and manage APIs or backend services in Python deployed on GCP services like Cloud Run Function, App Engine, or GKE. Build and maintain robust CI/CD pipelines (e.g., using Cloud Build, Jenkins, GitHub) to enable frequent and reliable application deployments. Work closely with software development teams to understand application requirements and translate them into cloud-native solutions on GCP. Implement and manage monitoring, logging, and alerting solutions (e.g., Cloud Monitoring, Prometheus, Grafana, Cloud Logging) to ensure system health and performance. Implement and enforce security best practices within the GCP environment (e.g., IAM policies, network security groups, security scanning). Troubleshoot and resolve production issues across various services (Applications) and infrastructure components (GCP). Work closely with product manager and business stakeholders to understand the business needs and associated systems requirements to meet customization required in SaaS Solution. Run and protect the SaaS Solution in AWS Environment and troubleshoots production issues. Active participant in all team agile ceremonies, manage the daily deliverables in Rally with proper user story and acceptance criteria. Provides input to product governance communications.