Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within…. A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities 3-5 years of experience as AI/ML engineer or similar role. Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with model development and deployment processes. Proficiency in programming languages such as Python. Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (e.g., AWS) and containerization (e.g., Docker, Kubernetes). Familiarity with version control systems (e.g., GitHub). Proficiency in data manipulation and analysis using libraries such as NumPy and Pandas. Good to have knowledge of deep learning, ML Ops: Kubeflow, MLFlow, Nextflow. Knowledge on text Analytics, NLP, Gen AI Mandatory Skill Sets ML Ops, AI / ML Preferred Skill Sets ML Ops, AI / ML Years Of Experience Required 4 - 8 Education Qualification B.Tech / M.Tech / MBA / MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Master of Business Administration Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Full Stack Development Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Show more Show less

Req ID: 323767 We are currently seeking a Gen AI Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN). Job DutiesExercise expertise in ideating and developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, content intelligence Apply statistical skills and advanced statistical techniques and concepts. Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. Experience working with RAG technologies and LLM frameworks (Langchain and LlamaIndex), LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases (FAISS, Milvus, etc.). Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc. Display proficiency in programming languages such as Python and understanding of various Python packages. Experience with TensorFlow, PyTorch, or Keras. Develop and implement GenAI solutions, collaborating with cross-functional teams, and supporting the successful execution of AI projects for a diverse range of clients. Assist in the design and implementation of GenAI use cases, projects, and POCs across multiple industries. Contribute to the development of frameworks, capabilities, and features for NTT DATA"™s global GenAI platform and TechHub. Work on RAG models to enhance AI solutions by incorporating relevant information retrieval mechanisms. Create and maintain data infrastructure to ingest, normalize, and combine datasets for actionable insights. Collaborate with data science teams to build, tune, and iterate on machine learning models and prompts. Work closely with customers to understand their requirements and deliver customized AI solutions. Interact at appropriate levels to ensure client satisfaction and project success. Communicate complex technical concepts clearly to non-technical audiences. Preferred experience in Private AI and Smart Agent Solutions Minimum Skills Required 2+ years of experience architecting high-impact GenAI solutions for diverse clients, preferably in Private AI and Smart Agentic Solutions 5+ year(s) of experience participating in projects that focused on one or more of the following areas: o Predictive Analytics o Data Design o Generative AI o AI/ML o ML Ops 3+ years of experience using Python. Ability to travel at least 25%. Bachelor"™s Degree required.

Qualifications and Experience: Exp. : 1+ year Salary : Upto 15LPA Location : Gurgaon Skills : AI, ML, Python, SQL, NOSQL, AWS, GCP, Tensorflow, Database Management, Language R

Experience: 5 to 10 Years Must Have Experience with tools like Hightouch, Segment, mParticle, Treasure Data, Amperity, Simon data, or Salesforce CDP Experience in CDP implementation and marketing analytics Experience in Python, SQL and AI/ML Frameworks Experience in Azure Data Factory, Databricks, Synapse, Snowflake Experience deploying GenAI applications Qualifications Bachelor's or master’s degree in computer science, Data Science, Marketing Analytics, or a related field. 5+ years of experience in CDP implementation and marketing analytics. Hands-on experience with tools like Hightouch, Segment, mParticle, Treasure Data, Amperity, Simon data, or Salesforce CDP (Experience in any one tool is mandatory). Exposure to MLOps practices and model monitoring pipelines. Strong proficiency in Python, SQL, and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Experience with cloud platforms and tools like Azure Data Factory, Databricks, Synapse, Snowflake. Hands-on experience with NLP techniques and libraries (e.g., spaCy, NLTK, transformers). Experience deploying GenAI applications and understanding of LLM frameworks. Familiarity with campaign attribution models, marketing funnels, and retention strategies. Excellent analytical, communication, and stakeholder management skills. About The Role We are excited to welcome a highly skilled CDP & Marketing Analytics Specialist to join our dynamic digital transformation team. The ideal candidate will possess hands-on experience with Customer Data Platforms (CDPs) and exhibit a deep understanding of customer data ingestion, real-time data pipelines, and AI-driven marketing strategies. You will play a pivotal role in driving data-driven decision-making and enabling hyper-personalized marketing at scale. Key Responsibilities Design and implement end-to-end customer data ingestion strategies from diverse sources (CRM, web, mobile, social, PoS, etc.) into a unified CDP. Build and maintain real-time streaming data pipelines using tools such as Azure Data Factory, Databricks, Kafka, etc. Design and implement composable Customer Data Platforms (CDPs) leveraging modern data platforms such as Snowflake, Databricks, and similar technologies. Develop and deploy AI/ML-driven customer segmentation models (behavioral, demographic, predictive — e.g., high CLV, churn-risk clusters). Skills: azure,genai applications,ai/ml frameworks,hightouch,treasure data,amperity,mparticle,azure data factory,marketing analytics,salesforce cdp,synapse,databricks,spacy,segment,transformers,analytics,cdp,nlp techniques,python,platforms,snowflake,ml,sql,customer data,nltk,simon data Show more Show less

Hi Immediate opening for Data Scientist Lead Location : Ahmedabad ( Onsite only ) Experience : 6 + years Job Description : Key Skills : Advanced degree or Masters degree in machine learning/data science/computer science or a related field Proven experience in developing and deploying machine learning models in a healthcare or RCM setting Strong programming skills in languages like Python or R Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Deep understanding of healthcare data and industry-specific challenges Strong problem-solving and analytical abilities Excellent leadership and team management skills Effective communication and stakeholder management skills Experience in MLOps, containerization, CI/CD pipeline is a plus Role & responsibilities: Engage with business and product teams to identify and flesh out ML use-cases Responsible for identifying needs, ingestion, quality and value evaluation, distillation & analysis of both structured and unstructured data from multiple sources Researching solutions to overcome machine learning challenges Managing and mentoring a team of ML engineers work allocation and planning, problem solving, tactical problem solving and thought leadership Leading development and optimization of machine learning and deep learning models Customizing models and build on top of existing framework to address client specific requirements Creating assets to fast-track solution development Staying informed about latest developments in Data Science / AI field Candidates serving notice / Early Immediate joiners can share updated CV on anand.rawal@agshealth.com

Proficient: Languages/Framework: Fast API, Azure UI Search API (React) Cloud: Azure Cloud Basics (Azure DevOps) Gitlab: Gitlab Pipeline Ansible and REX: Rex Deployment Data Science: Prompt Engineering + Modern Testing Data pipeline development Understanding of AI/ML algorithms and their applications MLOps frameworks Knowledge of cloud platforms (Azure ML especially) Model deployment process Data pipeline monitoring Languages/Framework: Azure Open AI Data Science: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search Databases and ETL: Azure Storage Account, Postgresql, Cosmos Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) Knowledge of cloud platforms (AWS SageMaker, Google AI Platform) Expertise in data preprocessing, feature engineering, and model evaluation Understanding of software engineering principles (version control, CI/CD, containerization) Familiarity with distributed computing and big data tools (Spark, Hadoop) Ability to optimize models for performance and scalability Experience with Azure AI Search

R Hello, Urgent job openings for Data Science - Director @ GlobalData(Hyderebad) Job Description given below please go through to understand the requirement. if requirement is matching to your profile & interested to apply please share your updated resume @ mail id (m.salim@globaldata.com). Mention Subject Line :- Applying for Data Science - Director @ GlobalData(Hyd) Share your details in the mail :- Your Full Name : Mobile # : Qualification : Company Name : Designation : Total Work Experience Years : Work Experience in Data Science Years : Python Experience Years : Gen AI/LLM Experience Years : Team/Project size handled : Current CTC : Expected CTC : Notice Period : Current Location/willing to relocate to Hyd? : Office Address : 3rd Floor, Jyoti Pinnacle Building, Opp to Prestige IVY League Appt, Kondapur Road, Hyderabad, Telangana-500081. Job Description :- Role : Data Science and LLM Director Overview This combined role leads the organization's data science initiatives with a special focus on Large Language Models (LLMs), generative AI technologies, and intelligent automation. The position requires strategic leadership in data-driven decision making, specialized expertise in implementing cutting-edge AI language models, and proficiency in developing automated solutions to transform business operations and enhance organizational efficiency. Core Responsibilities :- Leadership & Strategy Lead and mentor a team of data scientists, ML and Python engineers, and automation specialists, fostering a culture of innovation, collaboration, and continuous learning Develop and execute the organization's data science, generative AI, and automation vision, strategy, and roadmap aligned with business objectives Identify and prioritize high-impact opportunities where data science, LLMs, and automation can drive business value and operational efficiency Partner with senior executives to ensure AI and automation initiatives support broader organizational goals Establish governance frameworks, ethical guidelines, and best practices for responsible AI deployment and automated process implementation Drive automation strategy to streamline workflows, reduce manual processes, and enhance productivity across data science operations Technical Direction Design scalable data processing pipelines and architecture for analytics, modeling, LLM implementation, and automated workflows Oversee the evaluation, fine-tuning, and deployment of large language models for specific business applications Drive implementation of data science, LLM, and automation solutions across various business functions including customer service, content generation, knowledge management, and process optimization Develop and implement intelligent automation strategies to streamline data workflows, model deployment, and operational processes Balance innovation with practicality, selecting appropriate technologies and automation tools based on business needs and ROI Guide the integration of LLMs with existing data infrastructure, systems, and automated processes Establish automated monitoring using Python , testing, and deployment pipelines for AI/ML models and data science solutions Applied Data Science Lead the development of predictive models, machine learning solutions, and LLM applications Ensure data quality and appropriate data management practices across initiatives Direct the collection of new data and refinement of existing data sources to improve model performance Oversee experimentation and validation processes to evaluate solution effectiveness Facilitate the translation of complex analytical findings into actionable business insights Communication & Education Present findings and recommendations to key stakeholders through reports and presentations Serve as the organization's point person for generative AI knowledge and applications Develop educational resources and training programs to build data science and AI literacy Communicate complex technical concepts to non-technical stakeholders in clear, understandable terms Prepare white papers, case studies, and other materials showcasing data science and LLM successes Qualifications, Education & Experience Master's or B,tech in Computer Science, Statistics, Mathematics, Data Science, Machine Learning or related quantitative field 10+ years of experience in data science, with at least 3+ years focusing on natural language processing or LLMs 7+ years of experience managing technical teams and leading complex projects 5+ years of hands-on experience in automation, process optimization, and workflow automation tools 8+ years of advanced Python programming experience, including data science libraries, automation frameworks, and ML/AI development Demonstrated success implementing data science and automation solutions that deliver measurable business impact Experience with large language model deployment, fine-tuning, and evaluation Proven track record in developing and implementing automated data pipelines, ML model deployment, and intelligent process automation using Python Technical Skills Expert-level programming skills in Python and proficiency with data science/ML libraries Strong background in machine learning, deep learning, and statistical analysis Hands-on experience with LLM frameworks such as PyTorch, TensorFlow, or Hugging Face Experience with MLOps and the automation of model training, evaluation, and deployment Proficiency with cloud platforms (AWS, GCP, Azure) and big data technologies Knowledge of data visualization tools and techniques for effective communication Leadership & Soft Skills Strategic thinking and business acumen with ability to align technical solutions to business needs Exceptional communication skills for conveying technical concepts to diverse audiences Experimental mindset with ability to balance innovation with practical implementation Strong project management capabilities and experience with agile methodologies Collaborative approach to working with cross-functional teams and stakeholders Key Performance Indicators Development and execution of data science and LLM strategy with measurable business impact Successful implementation of LLM-powered solutions that improve operational efficiency Quality and effectiveness of data science team output and deliverables Adoption of data-driven decision making across the organization Creation of scalable, sustainable data science and AI infrastructure This role reports directly to the Chief Technology Officer (or equivalent) and works closely with executives across Product, Engineering, Marketing, and Customer Success to drive data-powered innovation and business growth. Thanks & Regards, Salim (Human Resources)

Our people work differently depending on their jobs and needs. From hybrid working to flexible hours, we have plenty of options that help our people to thrive. This role is based in India and as such all normal working days must be carried out in India. Job Description Join us as a Principal Engineer This is a challenging role that will see you design and engineer software with the customer or user experience as the primary objective With your software development background, you’ll be working with architects to help define major components of the business-wide target architecture and roadmap You’ll gain valuable senior stakeholder exposure as well as the opportunity to hone your technical talents and leadership skills We're offering this role at director level What you'll do As a Principal Engineer, you’ll be creating great customer outcomes via engineering and innovative solutions to existing and new challenges, and technology designs which are innovative, customer centric, high performance, secure and robust. You’ll be leading the more significant, complex and technically challenging assignments, coordinating multiple feature teams, making sure that their technical journeys support realisation of the targets, and deliver the values of the relevant metrics published to our investors. You’ll also be: Defining, creating and providing oversight and governance of engineering and design solutions with a focus on end-to-end automation, simplification, resilience, security, performance, scalability and reusability Working within a platform or feature team along with software engineers to design and engineer complex software, scripts and tools to enable the delivery of bank platforms, applications and services, acting as a point of contact for solution design considerations Defining and developing architecture models and roadmaps of application and software components to meet business and technical requirements, driving common usability across products and domains Influencing the development of strategies and architecture at domain and enterprise levels, identifying transformational opportunities for the businesses and technology areas The skills you'll need You’ll come with significant experience in software engineering, software or database design and architecture, as well as experience of developing software within a DevOps and Agile framework. Along with an expert understanding of the latest market trends, technologies and tools, you’ll bring significant and demonstrable experience of implementing programming best practice, especially around scalability, automation, virtualisation, optimisation, availability and performance. You’ll also need: Proven proficiency in Java, .net, Python, Angular A strong background in cloud platform such as AWS A background of working with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, MLflow Significant and demonstrable experience of test-driven development and using automated test frameworks, mocking and stubbing and unit testing tools The ability to rapidly and effectively understand and translate product and business requirements into technical solution Show more Show less

Datacrew.ai seeking a skilled Python TechLead with a strong interest in artificial intelligence and machine learning. Position: Python/ML – Tech Lead Experience: 5 + years No of positions: 1 Location: Chennai, India Immediate Joiners preferred Key Skills & Responsibilities Key Skills: Python, Python Flask, NLP (Content extraction), Pandas, OCR, Deep Learning, OpenCV, Tesseract, Computer Vision (Image Processing), TensorFlow, PyTorch, Keras, Scikit- learn, Paddle, ML, ML Algorithms, Neural Networks (CNN), Git, CI/CD, Cloud Experience (Any) Must Have Skills: ü Proficiency in Python programming language. ü Minimum 4+ years of hands-on experience in python and ML ü Strong background in machine learning algorithms and frameworks. ü Understand the requirements and objectives of the assigned projects ü Recommend appropriate approaches and technologies to deploy to achieve the objectives ü Iterate the development process to improve effectiveness of the models ü Implement parallel processing and other techniques to enhance processing speed ü Deep understanding of data extraction with Computer Vision and Deep learning libraries ü Excellent problem solving and analytical skills ü Ability to understand project requirements and objectives, and translate them into actionable development tasks ü Effective communication with stakeholders to provide technical insights and project updates ü Ability to lead and mentor a team of developers, ensuring adherence to best practices and coding standards ü Strong project management skills, including task prioritization, resource planning, and risk management Nice To Have Skills: ü Experience with deep learning frameworks such as TensorFlow or PyTorch. ü Familiarity with natural language processing (NLP) techniques. ü Previous work on computer vision projects ü Demonstrated experience and success in computer vision and text extraction projects Show more Show less

About Chargebee: Chargebee is a leading provider of billing and monetization solutions for thousands of businesses at every stage of growth — from early-stage startups to global enterprises. With our powerful suite of multi-product solutions, Chargebee helps businesses unlock unparalleled revenue growth, experiment with new offerings and monetization models, and stay globally compliant as they scale. Chargebee counts innovative companies like Zapier, Freshworks, DeepL, Condé Nast, and Pret A Manger amongst its global customer base and is proud to have been consistently recognized by customers as a Leader in Subscription Management on G2. With headquarters in North Bethesda, Maryland, our 1000+ team members work remotely throughout the world, including in India, Europe and the US. Job Summary: The Chargebee Product Analytics team provides analytical insights and solutions for critical cross-company functions and processes that affect how we show up in the world for our customers, including SaaS Billing, Retention, Customer Focus, and Payments. As a Data Scientist, you can use your quantitative skill set, empathy towards customers, and collaborative spirit to work closely with Product, Ops, Marketing, Engineering, and Finance to provide data-driven insights. In addition, it will allow you to find new opportunities to take our product and business to the next level. As a Data Scientist, you'll focus on the following: The analysis, manipulation, visualization of data, and data story-telling At times you shouldn't hesitate to do data engineering/ETL (extract-transform-load) Provide product or business insights and analytical strategy There will be an additional focus on the design and analysis of experiments, and pseudo-control techniques We've noticed that the title "Data Scientist" represents various work across the industry. If you're more passionate about building machine learning (ML) or econometric models, please check out the Machine Learning roles on our career page! Roles and Responsibilities: Refine ambiguous questions and generate new hypotheses about the product and business through a deep understanding of the data, our customers, and our business. Design experiments and interpret the results to draw detailed and impactful conclusions. Define how our teams measure success by developing Key Performance Indicators, Input /Output metrics, and other customers/business metrics in close partnership with product and other subject areas such as engineering, operations, and marketing Collaborate with data scientists, BI teams, and engineers to build and improve the availability, integrity, accuracy, and reliability of data logging/telemetry, data pipelines, and reporting insights. Develop data-driven business insights and work with cross-functional partners to identify opportunities and recommend prioritization of product, growth, retention, and optimization initiatives. Must Haves: M.S. or Bachelor's degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields. (If an M.S. degree, a minimum of 2+ years of industry experience is required, and if a Bachelor's degree, a minimum of 3+ years of industry experience as a Product Analyst, Data Scientist, or equivalent) Experience in at least one scripting language (SQL, Python, R, or SAS preferred) Basic understanding of experimental design (such as A/B experiments) and statistical methods Willingness to get your hands dirty with messy data to identify product opportunities and streamline data pipeline, automate and gain efficiency. Ability to communicate effectively and manage relationships with partners coming from both technical and non-technical backgrounds Strong story-telling: Distill interesting and hard-to-find insights into a compelling, concise data story Experience with experimental design and statistical methods such as causal Inference. Strong judgment, critical thinking, and decision-making skills Ability to solve complex business problems that cross multiple product/project areas and teams Balance attention to detail with swift execution Nice to have: Advanced degrees in Math, Economics, Statistics, Engineering, Computer Science, Operation Research, Quantitative analysis, Machine Learning, or other quantitative fields. 5+ years of industry experience in consumer-facing product and data science Data Science or Product analytics experience in SaaS companies or the B2B fintech sector. Technical Skillset: SQL (Advanced) : Highly proficient in writing complex SQL queries for data extraction, manipulation, and analysis from various databases. This includes understanding different joins, subqueries, window functions, and optimization techniques. Data Analysis & Interpretation: Strong ability to collect, clean, process, analyze, and interpret large and complex datasets to identify trends, patterns, anomalies, and root causes. Statistical Analysis: Solid understanding of statistical concepts (hypothesis testing, regression, correlation, A/B testing, sampling distributions) and their application to product and business problems. Programming (Python/R): Proficiency in Python or R for data manipulation (Pandas/dplyr), statistical modeling, machine learning (scikit-learn, TensorFlow/PyTorch - depending on the data science depth), and automation of data tasks. Data Visualization : Expertise in creating clear, compelling, and actionable dashboards and reports using tools like Tableau. Ability to tell a story with data. A/B Testing & Experimentation: Experience in designing, executing, and analyzing A/B tests to measure the impact of product changes and new features. Understanding of experimental design principles. Product Analytics Tools: Familiarity with product analytics platforms (e.g., Sentry, Pendo, Google Analytics, Splunk) for tracking user behavior, engagement, and feature adoption. Business & Product Skills: Deep understanding of the B2B SaaS fintech business model, sales cycles, customer journey, and revenue drivers. Product Strategy & Roadmap: Ability to translate data insights into actionable product recommendations and contribute to product strategy and roadmap development. Market Research & Competitive Analysis: Experience in conducting market research, analyzing competitor products and strategies, and identifying market opportunities. User Experience (UX) Understanding: Ability to analyze user behavior data to identify pain points, optimize user flows, and enhance overall user experience. Problem Solving: Highly analytical and methodical approach to identifying problems, breaking them down, and developing data-driven solutions. Soft Skills: Logical Thinking : Exceptional ability to think critically, identify underlying issues, and construct sound arguments based on data. Stakeholder Management : Proven ability to effectively communicate with and manage expectations of diverse stakeholders (product managers, engineers, sales, marketing, leadership). This includes translating complex technical findings into understandable business insights. Communication (Verbal & Written) : Excellent presentation skills, ability to articulate complex concepts clearly and concisely to both technical and non-technical audiences. Strong documentation skills. Collaboration : Ability to work effectively in cross-functional teams, fostering a collaborative environment. Proactive & Curious : A self-starter with a strong sense of curiosity, a desire to dig deeper into data, and a proactive approach to identifying opportunities. Adaptability : Ability to thrive in a fast-paced, dynamic B2B SaaS environment and adapt to evolving priorities. We are Globally Local With a diverse team across four continents, and customers in over 60 countries, you get to work closely with a global perspective right from your own neighborhood. We value Curiosity We believe the next great idea might just be around the corner. Perhaps it’s that random thought you had ten minutes ago. We believe in creating an ecosystem that fosters a desire to seek out hard questions, and then figure out answers to them. Customer! Customer! Customer! Everything we do is driven towards enabling our customers’ growth. This means no matter what you do, you will always be adding real value to a real business problem. It’s a lot of responsibility, but also a lot of fun. Show more Show less

Job Summary: We are looking for a passionate and skilled AI/ML Engineer to join our team, focusing on cutting edge solutions in vector search, embeddings, and semantic similarity. In this role, you will design, develop, and optimize intelligent search systems that leverage state-of-the-art machine learning and deep learning techniques. You will collaborate with cross-functional teams to build scalable and efficient solutions that transform how we retrieve and process information. Key Responsibilities: Develop and Optimize Vector Search Systems: Implement advanced vector-based search algorithms using frameworks like FAISS, Milvus, Weaviate, or Pinecone to enable high-performance retrieval systems. Design Semantic Search Solutions: Apply semantic similarity techniques to enable precise and context-aware search experiences. Research and Experimentation: Stay updated on advancements in NLP, ANN (Approximate Nearest Neighbor) search, and embedding models; experiment with new tools and techniques to improve system performance. Collaboration and Documentation: Collaborate with data scientists, backend engineers, and product teams, and document methodologies and findings effectively. Required Skills Machine Learning Expertise: Hands-on experience with ML frameworks NLP Knowledge: Strong understanding of natural language processing, embeddings, and transformer-based models (e.g., BERT, RoBERTa, GPT). Vector Search Tools: Proficiency in tools like FAISS, Milvus, Pinecone, or other ANN libraries. Search Algorithms: In-depth knowledge of similarity search techniques, including cosine similarity, dot-product scoring, and clustering methods. Programming Skills: Strong coding abilities in Python (experience with libraries like NumPy, Pandas, Scikit-learn, Hugging Face Transformers, etc.). Cloud/DevOps Knowledge: Familiarity with cloud platforms (Azure) and containerization/orchestration tools like Docker and Kubernetes. Preferred Skills Experience with hybrid search techniques combining traditional search (e.g., Elasticsearch, Solr) and vector search. Knowledge of vector quantization techniques for optimized storage and retrieval. Background in information retrieval, knowledge graphs, or recommendation systems. Key Traits: Should have excellent communication skills. Should be self motivated and willing to work as part of a team. Should be able to collaborate and coordinate with offshore and onshore teams. Be a problem solver and be proactive to solve the challenges that come his/her way.

Job Description Job Details: We are seeking a highly motivated and enthusiastic Junior Data Scientist with 2-3 years of experience to join our data science team. This role offers an exciting opportunity to contribute to both traditional Machine Learning projects for our commercial IoT platform (EDGE Live) and cutting-edge Generative AI initiatives. Position: Data Scientist Division & Department: Enabling Functions_Business Technology Group (BTG) Reporting To: Customer & Commercial Experience Products Leader Educational Qualifications Bachelor's degree in Mechanical, Computer Science, Data Science, Mathematics, or a related field. Experience 2-3 years of hands-on experience with machine learning Exposure to Generative AI concepts and techniques, such as Large Language Models (LLMs), RAG Architecture Experience in manufacturing and with an IoT platform is preferable Role And Responsibilities Key Objectives Machine Learning (ML) Assist in the development and implementation of machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn. Help with Python development to integrate models with the overall application Monitor and evaluate model performance using appropriate metrics and techniques. Generative AI Build Gen AI-based tools for various business use cases by fine-tuning and adapting pre-trained generative models Support the exploration and experimentation with Generative AI models Research & Learning Stay up-to-date with the latest advancements and help with POCs Proactively research and propose new techniques and tools to improve our data science capabilities. Collaboration And Communication Work closely with cross-functional teams, including product managers, engineers, and business stakeholders, to understand requirements and deliver impactful solutions. Communicate findings, model performance, and technical concepts to both technical and non-technical audiences. Technical Competencies Programming: Proficiency in Python, with experience in libraries like numpy, pandas, and matplotlib for data manipulation and visualization. ML Frameworks: Experience with TensorFlow, PyTorch, or scikit-learn. Cloud & Deployment: Basic understanding of cloud platforms such as Databricks, Google Cloud Platform (GCP), or Microsoft Azure for model deployment. Data Processing & Evaluation: Knowledge of data preprocessing, feature engineering, and evaluation metrics such as accuracy, F1-score, and RMSE. Show more Show less

Praxair India Private Limited | Business Area: Digitalisation Machine Learning Engineer (Global) Bangalore, Karnataka, India | Working Scheme: On-Site | Job Type: Regular / Permanent / Unlimited / FTE | Reference Code: req23351 It's about Being What's next. What's in it for you? A Machine Learning Engineer (Global) will be responsible for working in the Artificial Intelligence team, Linde's AI global corporate division engaged with real business challenges and opportunities in multiple countries. Focus of this role is to support the AI team with extending existing and building new AI products for a vast amount of uses cases across Linde’s business and value chain. You'll collaborate across different business and corporate functions in international team composed of Project Managers, Data Scientists, Data and Software Engineers in the AI team and others in the Linde's Global AI team. At Linde, employees can enjoy a range of benefits that make the workplace comfortable and enjoyable. These include loyalty offers, annual leave, an on-site eatery, employee resource groups, and teams that provide support and foster a sense of community. These benefits demonstrate Linde's commitment to creating a positive work experience for its employees. Every day is an opportunity: an opportunity to learn, to grow, to share success, and to contribute to one of the world’s leading industrial gas and engineering companies. Seize the opportunity: take your next step with us and join our team. Linde values diversity and recognizes the importance of fostering inclusion in our work environment. We believe that our success depends on the diverse perspectives of our employees, customers, and global markets. As an employer of choice, we strive to support our employees' growth, welcome new ideas, and respect our differences. Team Making an impact. What will you do? As a Machine Learning Enginee, you will be working closely with our global AI team to create and implement sustainable AI models, algorithms, and software solutions for our global industrial gases and engineering services operations You will participate in the collection, analysis, interpretation, and output of large amounts of data using advanced AI techniques like deep learning, NLP, and computer vision You will develop, train, test and deploy machine learning models in various fields such as computer vision, LLMs, tabular and time series data Experimenting with novel deep learning based technologies such as self-supervised learning and generative AI will also be part of your tasks You will support in setting up the MLOps infrastructure for existing and new AI products Additionally, you will work directly with customer data and set up data pipelines to collect, curate, transform and version data Winning in your role. Do you have what it takes? You have a Bachelor or master’s degree in data science, Computational Statistics/Mathematics, Computer Science or related field In addition you know the basics of neural networks and have an initial practical experience with deep learning frameworks like PyTorch and Tensorflow Further, you have experience in backend and API development with Python (FastAPI, Flask) or similar You demonstrate knowledge of and basic practical experience with Object Oriented Programming, design patterns, algorithms and data structures, version control systems (e.g. Git) Having basic experience with cloud platforms (e.g. Azure), Docker and Kubernetes is a plus Fluency in English is required Why you will love working for us! Linde is a leading global industrial gases and engineering company, operating in more than 100 countries worldwide. We live our mission of making our world more productive every day by providing high-quality solutions, technologies and services which are making our customers more successful and helping to sustain and protect our planet. On the 1st of April 2020, Linde India Limited and Praxair India Private Limited successfully formed a joint venture, LSAS Services Private Limited. This company will provide Operations and Management (O&M) services to both existing organizations, which will continue to operate separately. LSAS carries forward the commitment towards sustainable development, championed by both legacy organizations. It also takes ahead the tradition of the development of processes and technologies that have revolutionized the industrial gases industry, serving a variety of end markets including chemicals & refining, food & beverage, electronics, healthcare, manufacturing, and primary metals. Whatever you seek to accomplish, and wherever you want those accomplishments to take you, a career at Linde provides limitless ways to achieve your potential, while making a positive impact in the world. Be Linde. Be Limitless. Have we inspired you? Let's talk about it! We are looking forward to receiving your complete application (motivation letter, CV, certificates) via our online job market. Any designations used of course apply to persons of all genders. The form of speech used here is for simplicity only. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, pregnancy, sexual orientation, gender identity or expression, or any other reason prohibited by applicable law. Praxair India Private Limited acts responsibly towards its shareholders, business partners, employees, society and the environment in every one of its business areas, regions and locations across the globe. The company is committed to technologies and products that unite the goals of customer value and sustainable development. Show more Show less

Praxair India Private Limited | Business Area: Digitalisation Data Scientist for AI Products (Global) Bangalore, Karnataka, India | Working Scheme: On-Site | Job Type: Regular / Permanent / Unlimited / FTE | Reference Code: req23348 It's about Being What's next. What's in it for you? A Data Scientist for AI Products (Global) will be responsible for working in the Artificial Intelligence team, Linde's AI global corporate division engaged with real business challenges and opportunities in multiple countries. Focus of this role is to support the AI team with extending existing and building new AI products for a vast amount of uses cases across Linde’s business and value chain. You'll collaborate across different business and corporate functions in international team composed of Project Managers, Data Scientists, Data and Software Engineers in the AI team and others in the Linde's Global AI team. As a Data Scientist AI, you will support Linde’s AI team with extending existing and building new AI products for a vast amount of uses cases across Linde’s business and value chain" At Linde, the sky is not the limit. If you’re looking to build a career where your work reaches beyond your job description and betters the people with whom you work, the communities we serve, and the world in which we all live, at Linde, your opportunities are limitless. Be Linde. Be Limitless. Team Making an impact. What will you do? You will work directly with a variety of different data sources, types and structures to derive actionable insights Develop, customize and manage AI software products based on Machine and Deep Learning backends will be your tasks Your role includes strong support on replication of existing products and pipelines to other systems and geographies In addition to that you will support in architectural design and defining data requirements for new developments It will be your responsibility to interact with business functions in identifying opportunities with potential business impact and to support development and deployment of models into production Winning in your role. Do you have what it takes? You have a Bachelor or master’s degree in data science, Computational Statistics/Mathematics, Computer Science, Operations Research or related field You have a strong understanding of and practical experience with Multivariate Statistics, Machine Learning and Probability concepts Further, you gained experience in articulating business questions and using quantitative techniques to arrive at a solution using available data You demonstrate hands-on experience with preprocessing, feature engineering, feature selection and data cleansing on real world datasets Preferably you have work experience in an engineering or technology role You bring a strong background of Python and handling large data sets using SQL in a business environment (pandas, numpy, matplotlib, seaborn, sklearn, keras, tensorflow, pytorch, statsmodels etc.) to the role In addition you have a sound knowledge of data architectures and concepts and practical experience in the visualization of large datasets, e.g. with Tableau or PowerBI Result driven mindset and excellent communication skills with high social competence gives you the ability to structure a project from idea to experimentation to prototype to implementation Very good English language skills are required As a plus you have hands-on experience with DevOps and MS Azure, experience in Azure ML, Kedro or Airflow, experience in MLflow or similar Why you will love working for us! Linde is a leading global industrial gases and engineering company, operating in more than 100 countries worldwide. We live our mission of making our world more productive every day by providing high-quality solutions, technologies and services which are making our customers more successful and helping to sustain and protect our planet. On the 1st of April 2020, Linde India Limited and Praxair India Private Limited successfully formed a joint venture, LSAS Services Private Limited. This company will provide Operations and Management (O&M) services to both existing organizations, which will continue to operate separately. LSAS carries forward the commitment towards sustainable development, championed by both legacy organizations. It also takes ahead the tradition of the development of processes and technologies that have revolutionized the industrial gases industry, serving a variety of end markets including chemicals & refining, food & beverage, electronics, healthcare, manufacturing, and primary metals. Whatever you seek to accomplish, and wherever you want those accomplishments to take you, a career at Linde provides limitless ways to achieve your potential, while making a positive impact in the world. Be Linde. Be Limitless. Have we inspired you? Let's talk about it! We are looking forward to receiving your complete application (motivation letter, CV, certificates) via our online job market. Any designations used of course apply to persons of all genders. The form of speech used here is for simplicity only. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, pregnancy, sexual orientation, gender identity or expression, or any other reason prohibited by applicable law. Praxair India Private Limited acts responsibly towards its shareholders, business partners, employees, society and the environment in every one of its business areas, regions and locations across the globe. The company is committed to technologies and products that unite the goals of customer value and sustainable development. Show more Show less

Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Software Engineering General Summary More details below: Join the exciting Generative AI team at Qualcomm focused on integrating cutting edge GenAI models on Qualcomm chipsets. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities to allow inference of GenAI models on-device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. Utilize this power efficient hardware and Software stack to run Large Language Models (LLMs) and Large Vision Models (LVM) at near GPU speeds! Responsibilities In this role, you will spearhead the development and commercialization of the Qualcomm AI Runtime (QAIRT) SDK on Qualcomm SoCs. As an AI inferencing expert, you'll push the limits of performance from large models. Your mastery in deploying large C/C++ software stacks using best practices will be essential. You'll stay on the cutting edge of GenAI advancements, understanding LLMs/Transformers and the nuances of edge-based GenAI deployment. Most importantly, your passion for the role of edge in AI's evolution will be your driving force. Requirements Master’s/Bachelor’s degree in computer science or equivalent. 3+ years of relevant work experience in software development. Strong understanding of Generative AI models – LLM, LVM and LLMs and building blocks Floating-point, Fixed-point representations and Quantization concepts. Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU). Strong development skills in C/C++ Excellent analytical and debugging skills. Good communication skills (verbal, presentation, written). Ability to collaborate across a globally diverse team and multiple interests. Preferred Qualifications Strong understanding of SIMD processor architecture and system design. Proficiency in object-oriented software development. Familiarity with Linux and Windows environment Strong background in kernel development for SIMD architectures. Familiarity with frameworks like llama.cpp, MLX, and MLC is a plus. Good knowledge of PyTorch, TFLite, and ONNX Runtime is preferred. Experience with parallel computing systems and Assembly is a plus. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3076120 Show more Show less

Zuddl is a modular platform for events and webinars that helps event marketers plan and execute events that drive growth. Event teams from global organizations like Microsoft, Google, ServiceNow, Zylo, Postman, TransPerfect and the United Nations trust Zuddl. Our modular approach to event management lets B2B marketers and conferences organizers decide which components they need to build the perfect event and scale their event program. Zuddl is an outcome-oriented platform with a focus on flexibility, and is more partner, less vendor.. FUNDING Zuddl being a part Y-Combinator 2020 batch has raised $13.35 million in Series A funding led by Alpha Wave Incubation and Qualcomm Ventures with participation from our existing investors GrowX ventures and Waveform Ventures. What You'll Do Prototype LLM-powered features using frameworks like LangChain, OpenAI Agents SDK to power content automation and intelligent workflows. Build and optimize Retrieval‑Augmented Generation (RAG) systems: document ingestion, chunking, embedding with vector DBs, and LLM integration. Work with vector databases to implement similarity search for use cases like intelligent Q&A, content recommendation, and context-aware responses. Experiment with prompt engineering and fine-tuning techniques Deploy LLM-based microservices and agents using Docker, K8s and CI/CD best practices. Analyze model metrics, document findings, and suggest improvements based on quantitative evaluations. Collaborate across functions—including product, design, and engineering—to align AI features with business needs and enhance user impact. Requirement Strong Python programming skills. Hands-on with LLMs—experience building, fine-tuning, or applying large language models. Familiarity with agentic AI frameworks, such as LangChain or OpenAI Agents SDK (or any relevant tool). Understanding of RAG architectures and prior implementation in projects or prototypes. Experience with vector databases like FAISS, Opensearch etc. Portfolio of LLM-based projects, demonstrated via GitHub, notebooks, or other coding samples. Good to Have Capability to build full‑stack web applications. Data analytics skills—data manipulation (Pandas/SQL), visualization (Matplotlib/Seaborn/Tableau), and statistical analysis. Worked with PostgreSQL, Metabase or relevant tools/databases. Strong ML fundamentals: regression, classification, clustering, deep learning techniques. Experience building recommender systems or hybrid ML solutions. Experience with deep learning frameworks: PyTorch, TensorFlow (or any relevant tool). Exposure to MLOps/DevOps tooling: Docker, Kubernetes, MLflow, Kubeflow (or any relevant tool). Why You Want To Work Here Opportunity to convert to a Full-Time Role, based on performance and organisational requirements after the end of the internship tenure. A culture built on trust, transparency, and integrity Ground floor opportunity at a fast-growing series A startup Competitive Stipend Work on AI-first features in an event-tech startup with global customers Thrive in a remote-first, empowering culture fueled by ownership and trust Show more Show less

About Markovate: At Markovate, we don’t just follow trends—we drive them. We transform businesses through innovative AI and digital solutions that turn vision into reality. Our team harnesses breakthrough technologies to craft bespoke strategies that align seamlessly with our clients' ambitions. From AI consulting and Gen AI development to pioneering AI agents and agentic AI, we empower our partners to lead their industries with forward-thinking precision and unmatched expertise. Job Summary: We are looking for a highly skilled and motivated Lead Engineer with expertise in AI/ML. The ideal candidate will have a proven track record of leading technical teams, delivering scalable AI and software solutions, and managing global client relationships. This is a leadership role that combines technical depth with strategic vision and team mentorship. What you can expect: Lead and manage cross-functional engineering teams working on different IT projects. You can and HAVE a proven track record of shipping PoCs, Pilot, MVP at a blazing speed. You unblock yourself with the help of AI tools like Claude, ChatGPT, Cursor, and Windsurf. You are UNSTOPPABLE and are solution-oriented rather than problem-oriented. You are a people person and love mentoring your peers and want to succeed as a team. Drive end-to-end project ownership from architecture and development to deployment and client delivery. Collaborate with global clients to understand business needs, translate them into technical requirements, and ensure timely, high-quality deliverables. Architect and implement scalable AI/ML models and integrate them into products using modern full-stack technologies. Stay current with the latest advancements in AI and machine learning technologies. Mentor, coach, and grow engineers by providing technical guidance and career development support. Ensure adherence to best practices in engineering, including code quality, performance, security, and scalability. Manage project timelines, resource allocation, risk assessments, and budget forecasting. Collaborate closely with product, design, QA, and DevOps teams to ensure smooth delivery pipelines. What we are looking for: 5+ years of professional experience in software development, managing teams, and AI/ML projects. Master’s or Bachelor's degree in Computer Science, Engineering, or a related field. Exposure to MLOps, Data Engineering, DataOps, and deployment of models in production environments. Experience with microservices architecture, API development, and CI/CD tools. Strong development expertise in JavaScript and its frameworks/libraries such as React, Node.js, Angular, Vue, etc. Experience in Python and ML libraries (e.g., TensorFlow, PyTorch, OpenCV, Hugging Face Transformers). Hands-on experience building, training, and deploying machine learning models and deep learning solutions. Solid understanding of cloud platforms (AWS, Azure, GCP) and DevOps practices. Experience working with global clients, managing stakeholder expectations and delivering complex AI/IT solutions. Proven experience in team leadership, mentoring, and performance management. Strong problem-solving and decision-making skills with an ability to thrive in a fast-paced environment. Excellent communication and interpersonal skills. Publications, patents, or contributions to open-source AI/ML projects are a plus. What is it like to be at Markovate? At Markovate, we thrive on collaboration and embrace every innovative idea. We invest in continuous learning to keep our team ahead in the AI/ML landscape. Transparent communication is key—every voice at Markovate is valued. Our agile, data-driven approach transforms challenges into opportunities. We offer flexible work arrangements that empower creativity and balance. Recognition is part of our DNA—your achievements drive our success. Markovate is committed to sustainable practices and positive community impact. Our people-first culture means your growth and well-being are central to our mission. Show more Show less

We are looking for a Senior Software Engineer-AI with 3+ years of hands-on experience in Artificial Intelligence/ML and a passion for innovation. This role is ideal for someone who thrives in a startup environment—fast-paced, product-driven, and full of opportunities to make a real impact. You will contribute to building intelligent, scalable, and production-grade AI systems, with a strong focus on Generative AI and Agentic AI technologies. Roles and Responsibilities: Build and deploy AI-driven applications and services, focusing on Generative AI and Large Language Models (LLMs). Design and implement Agentic AI systems—autonomous agents capable of planning and executing multi-step tasks. Collaborate with cross-functional teams including product, design, and engineering to integrate AI capabilities into products. Write clean, scalable code and build robust APIs and services to support AI model deployment. Own feature delivery end-to-end—from research and experimentation to deployment and monitoring. Stay current with emerging AI frameworks, tools, and best practices and apply them in product development. Contribute to a high-performing team culture and mentor junior team members as needed. Skill Set: 3–6 years of overall software development experience, with 3+ years specifically in AI/ML engineering. Strong proficiency in Python, with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face). Proven experience working with LLMs (e.g., GPT, Claude, Mistral) and Generative AI models (text, image, or audio). Practical knowledge of Agentic AI frameworks (e.g., LangChain, AutoGPT, Semantic Kernel). Experience building and deploying ML models to production environments. Familiarity with vector databases (Pinecone, Weaviate, FAISS) and prompt engineering concepts. Comfortable working in a startup-like environment—self-motivated, adaptable, and willing to take ownership. Solid understanding of API development, version control, and modern DevOps/MLOps practices. Show more Show less

Position Senior Engineer - Data Engineer Job Description Position - Data Engineer What You Will Be Doing Design and development of real time software and Cloud/Web/mobile based software application. Analyze domain specific technical, high level or low level requirement and modification as per end customer or system requirement. Perform software testing including unit, functional and system level requirement including manual and automated Perform code review following coding guidelines and static code analysis & troubleshoots software problems of limited difficulty. Document technical deliverable like software specifications, design document, code commenting, test cases and test report, Release note etc. throughout the project life cycle. Develop software solutions from established programming languages or by learning new language required for specific project. What Are We Looking For Experience: 4 to 8 years in software/data engineering. Data Technologies: Proficiency in SQL, NoSQL databases (e.g., DynamoDB, MongoDB), ETL tools, and data warehousing solutions. Programming Languages: Proficiency in Python is a must. Cloud Platforms: Azure, AWS (e.g., EC2, S3, RDS) or GCP. Visualization Tools: Experience with data visualization tools (e.g., Tableau, Power BI, Looker). Data Governance: Knowledge of data governance and security practices. CI/CD: Experience with DevOps practices, including CI/CD pipelines and containerization (Docker, Kubernetes). Communication Skills: Excellent verbal and written communication skills in English. Agile Methodologies: Experience working in Agile development environments. AI/ML Awareness: Understanding of AI and ML concepts, frameworks (e.g., TensorFlow, PyTorch), and practical applications.0 Generative AI Awareness: Familiarity with Generative AI technologies and their potential use cases. Location - Indore/ Ahmedabad Location: IN-GJ-Ahmedabad, India-Ognaj (eInfochips) Time Type Full time Job Category Engineering Services Show more Show less

Primary skill Gen AI developer Secondary skill Model hosting LLM knowledge. Ability to stay updated with the latest advancements in generative AI research and incorporate them into work. JD -Advanced programming knowledge, including mastery of programming languages such as Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. -Expertise in generative models such as generative adversarial networks (GANs) and variational autoencoders (VAEs). The candidate should be able to design, train, and optimize these models to generate high-quality, creative content. -Natural language processing (NLP) for text generation projects. This includes familiarity with techniques for text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. -Model hosting LLM knowledge -Ability to design and implement scalable and efficient AI systems. -Advanced knowledge of natural language processing for text generation tasks. -Familiarity with computer vision and image generation using AI. Akshay : Ignore -Skills in data preprocessing and feature engineering for AI model training. -Strong understanding of neural network architectures and optimization techniques.

Job Title: Senior Developer - AI/ML & Generative AI Location: Pune Job Type: Full-time Job Summary: We are looking for a highly experienced Senior Developer with a strong background in Python, AI/ML, Generative AI, and experience with Azure OpenAI, Large Language Models (LLMs), cloud platforms like Azure and AWS, and various databases to join our dynamic team. The ideal candidate will have a proven track record of developing and deploying advanced AI solutions, with a focus on leveraging Generative AI techniques to drive innovation and efficiency. Key Responsibilities: AI/ML Development: Design, develop, and implement advanced AI/ML models and algorithms to solve complex problems and enhance business processes. Generative AI Solutions: Utilize Generative AI techniques (e.g., GANs, VAEs) to create innovative applications and improve existing systems. Python Programming: Write clean, efficient, and scalable code in Python, using libraries such as TensorFlow, PyTorch, scikit-learn, and others. Data Analysis and Modeling: Analyze large datasets to extract insights, build predictive models, and support data-driven decision-making. Azure OpenAI and LLMs: Develop and deploy AI solutions using Azure OpenAI services and Large Language Models (LLMs) to enhance capabilities and performance. Cloud Platforms: Utilize cloud platforms like Azure and AWS for deploying and managing AI/ML solutions. Database Management: Work with various databases, including SQL, MongoDB, NoSQL, and vector databases, to store, manage, and retrieve data efficiently. Collaboration: Work closely with cross-functional teams, including data scientists, engineers, and product managers, to understand requirements and deliver high-quality AI solutions. Mentorship: Provide technical guidance and mentorship to junior developers and team members. Continuous Improvement: Stay updated with the latest advancements in AI/ML, Generative AI, Azure OpenAI, LLMs, cloud technologies, and database management, and apply them to enhance existing solutions and develop new ones. Documentation: Document AI models, algorithms, and processes, and provide regular reports on project progress and outcomes. Required Qualifications: Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Experience: Minimum of 5-6 years of experience in AI/ML development, with a focus on Python, Generative AI, and Azure OpenAI. Technical Skills: Proficiency in Python and relevant libraries (TensorFlow, PyTorch, scikit-learn, etc.). Extensive experience with Generative AI techniques (GANs, VAEs, etc.). Strong understanding of machine learning algorithms, data analysis, and model deployment. Experience with Azure OpenAI services and Large Language Models (LLMs). Proficiency in cloud platforms like Azure and AWS. Experience with databases such as SQL, MongoDB, NoSQL, and vector databases. Familiarity with containerization (Docker, Kubernetes). Soft Skills: Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Ability to lead and mentor a team. Proactive and self-motivated with a passion for innovation. Show more Show less

Overview Of 66degrees 66degrees is a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology. With our unmatched engineering capabilities and vast industry experience, we help the world's leading brands transform their business challenges into opportunities and shape the future of work. At 66degrees, we believe in embracing the challenge and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way. Role Overview As the ideal AI/ML Engineer, you are someone who can do a deep technical dive and communicate effectively with others. You love wrangling messy data into an elegant solution, and helping others understand the power of their data. This role is a chance to have a huge impact on how businesses operate and make decisions on a daily basis. Responsibilities Dive deep into a wide range of data (tabular, text, image, etc.) to identify pain-points and deliver data-driven insights to our clients. Utilize AI/ML and analytical techniques to determine areas of opportunities to help meet business goals. Leverage GCP services to train and deploy off-the-shelf (Vertex AI/AutoML/BQML) or custom models to address a client’s business problem. Drive successful delivery of AI/ML projects and also contribute to key practice initiatives, whenever needed. Create reports and presentations that showcase the value of your solution to our clients. Qualifications 3-6+ years of experience with data science and AI/ML. Python (TensorFlow, Keras, SciKit-Learn, PyTorch), SQL, Shell Scripting experience. Data Engineering experience in Data Cleansing, ETL/ELT Pipelines, Vector DBs, Relational DBs, NoSQL DBs, Warehouses Generative AI experience in LLMs, Prompt Engineering, Tuning, RAG, LangChain Statistics & Modeling experience with Time-Series, Clustering, Regression, Classification, Recommendation Systems, Deep Learning, Ensemble Modeling, Reinforcement Learning, EDA, Data Visualization, Feature Engineering, Model Evaluation, Responsible AI MLOps experience with GIT, building CI/CD Pipelines, API Development, Docker, Deployment, Retraining Pipelines, Monitoring, Model Versioning. Google Cloud Experience in the following tools: Vertex AI, Document AI, Cloud Run, Cloud Functions, BigQuery, Pub/Sub, Cloud Storage. Kubernetes, Looker, Graph Data Science experience is a plus. Ability to communicate complex, technical processes to non-technical business stakeholders. Ability to track changing business requirements and deliver quality solutions both independently and with teams of varying skill sets. Bachelor’s degree in Data Science, Computer Science or similar. 66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class. Show more Show less

Senior 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 as a Senior Data Scientist, reporting directly to the Lead Data Scientist in India. You will play a crucial role in building, optimizing, and maintaining AI-ready data infrastructure for advanced Generative AI applications. Your focus will be on hands-on implementation of cutting-edge data extraction, curation, and metadata enhancement techniques for both text and numerical data. You will be a key contributor to the development of innovative solutions, ensuring rapid iteration and deployment, and supporting the Lead in achieving the team's strategic goals. What will you be doing: 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 Mentorship : Act as a technical mentor 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: Academic Background : Advanced degree in AI, statistics, mathematics, computer science, or a related field. Programming and Frameworks : 2+ years of hands-on experience with Python, TensorFlow or PyTorch, and NLP libraries such as spaCy and Hugging Face. GenAI Tools : 1+ years 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.

Dear Associates Greetings from TATA Consultancy Services!! Thank you for expressing your interest in exploring a career possibility with the TCS Family Hiring For : Python AI ML, MlOPs Must Have : Spark, Hadoop,PyTorch, TensorFlow,Matplotlib, Seaborn, Tableau, Power BI,scikit-learn, TensorFlow, XGBoost,AWS,Azure , AWS, Databricks,Pyspark, Python,SQL, Snowflake, Experience: 5+ yrs Location : Mumbai / Pune If interested kindly fill the details and send your resume at nitu.sadhukhan@tcs.com . Note: only Eligible candidates with Relevant experience will be contacted further Name Contact No: Email id: Current Location: Preferred Location: Highest Qualification (Part time / Correspondence is not Eligible) : Year of Passing (Highest Qualification): Total Experience: Relevant Experience : Current Organization: Notice Period: Current CTC: Expected CTC: Pan Number : Gap in years if any (Education / Career): Updated CV attached (Yes / No) ? IF attended any interview with TCS in last 6 months : Available For walk In drive on 14th June _Pune : Thanks & Regards, Nitu Sadhukhan Talent Acquisition Group Tata Consultancy Services Lets Connect : linkedin.com/in/nitu-sadhukhan-16a580179 Nitu.sadhukhan@tcs.com Show more Show less

Senior AI Engineer Location: Infopark, Thrissur, Kerala Employment Type: Full-Time Experience Required: Minimum 5 Years providing AI Solutions, including expertise in ML/DL Projects About Us JK Lucent is a growing IT services provider headquartered in Melbourne, Australia, with an operations centre at Infopark, Thrissur, Kerala. We specialize in Software Development, Software Testing, Game Development, RPA, Data Analytics, and AI solutions. At JK Lucent, we are driven by innovation and committed to delivering cutting-edge technology services that solve real-world problems and drive digital transformation. About the Role We are looking for a highly skilled and experienced Senior AI Engineer to lead the development and deployment of advanced AI systems. This role requires deep expertise in Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs). The successful candidate will work on complex AI initiatives, contribute to production-ready systems, and mentor junior engineers. A strong command of professional English and the ability to communicate technical concepts clearly is essential. Roles and Responsibilities Design and develop scalable AI and ML models for real-world applications. Build, fine-tune, and implement Large Language Models (LLMs) for use cases such as chatbots, summarization, and document intelligence. Work with deep learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers. Collaborate with cross-functional teams to translate business problems into AI solutions with necessary visualizations using tools like Tableau or Power BI. Deploy models to production environments and implement monitoring and model retraining pipelines. Stay up to date with the latest research and trends in AI, especially in LLMs and generative models. Guide and mentor junior AI engineers, reviewing code and providing technical leadership. Contribute to technical documentation, architecture design, and solution strategies. Ensure models are developed and used ethically and comply with data privacy standards. Requirements Minimum 5 years of experience in AI/ML development with hands-on expertise in model design, development, and deployment. Strong experience working with LLMs and Generative AI tools such as Hugging Face Hub, LangChain, Haystack, LLaMA, GPT, BERT, and T5. Proficiency in Python and ML/DL libraries such as TensorFlow, PyTorch, XGBoost, scikit-learn, and Hugging Face Transformers. Solid understanding of mathematics, statistics, and applied data science principles. Experience deploying models using Docker, FastAPI, MLflow, or similar tools. Familiarity with cloud platforms (AWS, Azure, or GCP) and their AI/ML services. Demonstrated experience in working on end-to-end AI solutions in production environments. Excellent English communication skills (verbal and written) and ability to present technical topics. Strong leadership skills and experience mentoring junior developers or leading small technical teams. Bachelor's or Master's in Computer Science, AI, Data Science, or a related discipline. Job Type: Full-time Pay: ₹600,000.00 - ₹1,500,000.00 per year Schedule: Day shift Monday to Friday Application Question(s): 1. Are you able to commute daily to Infopark, Koratty, Thrissur? (Yes/No) 2. How many years of total IT experience do you have? (Numeric) 3. How many years of experience do you have in AI/ML development? (Numeric) 4. How many years of experience do you have working with Large Language Models (LLMs)? (Numeric) 5. Are you proficient in Python? (Yes/No) 6. Have you used frameworks like TensorFlow, PyTorch, or Hugging Face? (Yes/No) 7. Have you deployed AI/ML models to production environments? (Yes/No) 8. Have you worked with cloud platforms like AWS, Azure, or GCP? (Yes/No) * 9. Do you have professional-level proficiency in English? (Yes/No) 10. What is your current notice period in days? (Numeric) 11. What is your expected salary in LPA? (Numeric) 12. What is your current or last drawn salary in LPA? (Numeric) Work Location: In person