8841 Pytorch Jobs - Page 14

Control Automation Data Science Sr Analyst (C11) - DS About CITI Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have 200+ years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. About AIM: Analytics and Information Management (AIM) is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast-growing organization working with Citi businesses and functions across the world. What do we do: We have one formula for managing risk across the firm: our Enterprise Risk Management Framework. This consistency enables us to take an end-to-end view in how we identify, measure, build, control and report risks. We are also working to simplify, streamline and automate our manual controls—strengthening our ability to prevent issues, not just to detect them after they happen. When issues do appear, we should strive to understand the root cause. We can then apply those lessons-learned horizontally across the organization to prevent similar issues from arising elsewhere. Expertise required: Data Analysis and Modelling: Use statistical modelling analysis, Machine Learning, Data mining techniques to extract actionable insights from large and complex datasets. Develop model to forecast trends, identify patterns and solve various business challenges. Conduct exploratory data analysis to uncover hidden relationships and opportunities for optimizations. Algorithm Development: Design, develop, deploy advance algorithms to solve complex business problems. Optimize algorithms for scalability, performance, and accuracy. Stay abreast of the latest advancements in Machine Learning and Artificial Intelligence and continuously improve modelling techniques. Collaboration and communication: Collaborate with Model Risk Management and Data Engineers, business analysts, product managers to define project requirements and deliver solutions. Communicate findings and recommendations to technical and non-technical stakeholders. Act as subject matter expert on Data Science methodology and best practices. Data management and governance: Work with Data engineers to ensure availability, quality, and integrity of datasets. Develop and implement Data governance procedures to ensure compliance with regulatory requirements and industry standards. Domain Skills Good understanding of Banking domain (Wealth, Cards, Deposit, Loans & Insurance etc.) Functional Skills Business risk, controls, compliance, and data management. Nice to have - Knowledge of Finance Regulations, Understanding of Audit Process Soft Skills Should have good communication and inter-personal skills. Mentoring junior members in the team Ability to thrive in a dynamic and fast-paced environment. Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc. Proactive approach in solving problems and eye for details. A strong team player Qualifications: Bachelor’s degree in quantitative field (Computer science, engineering, mathematics, machine learning, statistics) 5-8 years of experience in Data science role Proficiency in programming languages like Python, R, or SAS Experience in Python and relevant libraries (Numpy, Pandas, Scikit learn etc.) Coursework related to Machine learning, Deep learning (NLP / OCR) and Programming At least an introductory understanding of LLMs and prompt engineering Hands on application experience using common ML frameworks such as TensorFlow, PyTorch, OpenAI and LangChain Experience with big data platforms (e.g. Hadoop, Spark) and SQL databases Demonstrated ability to write high quality code, develop Machine Learning models Excellent verbal and written communication skills Problem solving and Story telling skills to provide recommendations and generate actionable Business Insights. ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Specialized Analytics (Data Science/Computational Statistics) ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Data Science (GenAI & Prompt engineering) – Bangalore Business Analytics Analyst 2 About CITI Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. Analytics and Information Management (AIM) Citi AIM was established in 2003, and is located across multiple cities in India – Bengaluru, Chennai, Pune and Mumbai. It is a global community that objectively connects and analyzes information, to create actionable intelligence for our business leaders. It identifies fact-based opportunities for revenue growth in partnership with the businesses. The function balances customer needs, business strategy, and profit objectives using best in class and relevant analytic methodologies. What do we do? The North America Consumer Bank – Data Science and Modeling team analyzes millions of prospects and billions of customer level transactions using big data tools and machine learning, AI techniques to unlock opportunities for our clients in meeting their financial needs and create economic value for the bank. The team extracts relevant insights, identifies business opportunities, converts business problems into modeling framework, uses big data tools, latest deep learning and machine learning algorithms to build predictive models, implements solutions and designs go-to-market strategies for a huge variety of business problems. Role Description The role will be Business Analytics Analyst 2 in the Data Science and Modeling of North America Consumer Bank team The role will report to the AVP / VP leading the team What do we offer: The Next Gen Analytics (NGA) team is a part of the Analytics & Information Management (AIM) unit. The NGA modeling team will focus on the following areas of work: Role Expectations: Client Obsession – Create client centric analytic solution to business problems. Individual should be able to have a holistic view of multiple businesses and develop analytic solutions accordingly. Analytic Project Execution – Own and deliver multiple and complex analytic projects. This would require an understanding of business context, conversion of business problems in modeling, and implementing such solutions to create economic value. Domain expert – Individuals are expected to be domain expert in their sub field, as well as have a holistic view of other business lines to create better solutions. Key fields of focus are new customer acquisition, existing customer management, customer retention, product development, pricing and payment optimization and digital journey. Modeling and Tech Savvy – Always up to date with the latest use cases of modeling community, machine learning and deep learning algorithms and share knowledge within the team. Statistical mind set – Proficiency in basic statistics, hypothesis testing, segmentation and predictive modeling. Communication skills – Ability to translate and articulate technical thoughts and ideas to a larger audience including influencing skills with peers and senior management. Strong project management skills. Ability to coach and mentor juniors. Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc. Role Responsibilities: Work with large and complex datasets using a variety of tools (Python, PySpark, SQL, Hive, etc.) and frameworks to build Deep learning/generative AI solutions for various business requirements. Primary focus areas include model training/fine-tuning, model validation, model deployment, and model governance related to multiple portfolios. Design, fine-tune and implement LLMs/GenAI applications using techniques like prompt engineering, Retrieval Augmented Generation (RAG) and model fine-tuning Responsible for documenting data requirements, data collection/processing/cleaning, and exploratory data analysis, including utilizing deep learning /generative AI algorithms and, data visualization techniques. Incumbents in this role may often be referred to as Data Scientists. Specialization in marketing, risk, digital, and AML fields possible, applying Deep learning & generative AI models to innovate in these domains. Collaborate with team members and business partners to build model-driven solutions using cutting-edge Generative AI models (e.g., Large Language Models) and also at times, ML/traditional methods (XGBoost, Linear, Logistic, Segmentation, etc.) Work with model governance & fair lending teams to ensure compliance of models in accordance with Citi standards. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules, and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. What do we look for: If you are a bright and talented individual looking for a career in AI and Machine Learning with a focus on Generative AI , Citi has amazing opportunities for you. Bachelor’s Degree with atleast 3 years of experience in data analytics, or Master’s Degree with 2 years of experience in data analytics, or PhD. Technical Skills Hands-on experience in PySpark/Python/R programing along with strong experience in SQL. 2-4 years of experience working on deep learning, and generative AI applications Experience working on Transformers/ LLMs (OpenAI, Claude, Gemini etc.,), Prompt engineering, RAG based architectures and relevant tools/frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, LlamaIndex etc., Solid understanding of deep learning, transformers/language models. Familiarity with vector databases and fine-tuning techniques Experience working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding. Strong background in Statistical Analysis. Capability to validate/maintain deployed models in production Self-motivated and able to implement innovative solutions at fast pace Experience in Credit Cards and Retail Banking is preferred Competencies Strong communication skills Multiple stake holder management Strong analytical and problem solving skills Excellent written and oral communication skills Strong team player Control orientated and Risk awareness Working experience in a quantitative field Willing to learn and can-do attitude Ability to build partnerships with cross-function leaders Education: Bachelor's / master’s degree in economics / Statistics / Mathematics / Information Technology / Computer Applications / Engineering etc. from a premier institute Other Details Employment: Full Time Industry: Credit Cards, Retail Banking, Financial Services, Banking ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Specialized Analytics (Data Science/Computational Statistics) ------------------------------------------------------ Time Type: ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Position Overview- We are looking for an experienced AI Engineer to design, build, and optimize AI-powered applications, leveraging both traditional machine learning and large language models (LLMs). The ideal candidate will have a strong foundation in LLM fine-tuning, inference optimization, backend development, and MLOps, with the ability to deploy scalable AI systems in production environments. ShyftLabs is a leading data and AI company, helping enterprises unlock value through AI-driven products and solutions. We specialize in data platforms, machine learning models, and AI-powered automation, offering consulting, prototyping, solution delivery, and platform scaling. Our Fortune 500 clients rely on us to transform their data into actionable insights. Key Responsibilities: Design and implement traditional ML and LLM-based systems and applications Optimize model inference for performance and cost-efficiency Fine-tune foundation models using methods like LoRA, QLoRA, and adapter layers Develop and apply prompt engineering strategies including few-shot learning, chain-of-thought, and RAG Build robust backend infrastructure to support AI-driven applications Implement and manage MLOps pipelines for full AI lifecycle management Design systems for continuous monitoring and evaluation of ML and LLM models Create automated testing frameworks to ensure model quality and performance Basic Qualifications: Bachelor’s degree in Computer Science, AI, Data Science, or a related field 4+ years of experience in AI/ML engineering, software development, or data-driven solutions LLM Expertise Experience with parameter-efficient fine-tuning (LoRA, QLoRA, adapter layers) Understanding of inference optimization techniques: quantization, pruning, caching, and serving Skilled in prompt engineering and design, including RAG techniques Familiarity with AI evaluation frameworks and metrics Experience designing automated evaluation and continuous monitoring systems Backend Engineering Strong proficiency in Python and frameworks like FastAPI or Flask Experience building RESTful APIs and real-time systems Knowledge of vector databases and traditional databases Hands-on experience with cloud platforms (AWS, GCP, Azure) focusing on ML services MLOps & Infrastructure Familiarity with model serving tools (vLLM, SGLang, TensorRT) Experience with Docker and Kubernetes for deploying ML workloads Ability to build monitoring systems for performance tracking and alerting Experience building evaluation systems using custom metrics and benchmarks Proficient in CI/CD and automated deployment pipelines Experience with orchestration tools like Airflow Hands-on experience with LLM frameworks (Transformers, LangChain, LlamaIndex) Familiarity with LLM-specific monitoring tools and general ML monitoring systems Experience with distributed training and inference on multi-GPU environments Knowledge of model compression techniques like distillation and quantization Experience deploying models for high-throughput, low-latency production use Research background or strong awareness of the latest developments in LLMs Tools & Technologies We Use Frameworks: PyTorch, TensorFlow, Hugging Face Transformers Serving: vLLM, TensorRT-LLM, SGlang, OpenAI API Infrastructure: Docker, Kubernetes, AWS, GCP Databases: PostgreSQL, Redis, Vector Databases We are proud to offer a competitive salary alongside a strong healthcare insurance and benefits package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for developing and deploying machine learning algorithms. Evaluates accuracy and functionality of machine learning algorithms. Translates application requirements into machine learning problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Develops novel ways to use machine learning to solve problems and discover new products. Has in-depth experience, knowledge and skills in own discipline. Usually determines own work priorities. Acts as resource for colleagues with less experience. Job Description About the Role: We are seeking an experienced Data Scientist to join our growing Operational Intelligence team. You will play a key role in building intelligent systems that help reduce alert noise, detect anomalies, correlate events, and proactively surface operational insights across our large-scale streaming infrastructure. You’ll work at the intersection of machine learning, observability, and IT operations, collaborating closely with Platform Engineers, SREs, Incident Managers, Operators and Developers to integrate smart detection and decision logic directly into our operational workflows. This role offers a unique opportunity to push the boundaries of AI/ML in large-scale operations. We welcome curious minds who want to stay ahead of the curve, bring innovative ideas to life, and improve the reliability of streaming infrastructure that powers millions of users globally. What You’ll Do Design and tune machine learning models for event correlation, anomaly detection, alert scoring, and root cause inference Engineer features to enrich alerts using service relationships, business context, change history, and topological data Apply NLP and ML techniques to classify and structure logs and unstructured alert messages Develop and maintain real-time and batch data pipelines to process alerts, metrics, traces, and logs Use Python, SQL, and time-series query languages (e.g., PromQL) to manipulate and analyze operational data Collaborate with engineering teams to deploy models via API integrations, automate workflows, and ensure production readiness Contribute to the development of self-healing automation, diagnostics, and ML-powered decision triggers Design and validate entropy-based prioritization models to reduce alert fatigue and elevate critical signals Conduct A/B testing, offline validation, and live performance monitoring of ML models Build and share clear dashboards, visualizations, and reporting views to support SREs, engineers and leadership Participate in incident postmortems, providing ML-driven insights and recommendations for platform improvements Collaborate on the design of hybrid ML + rule-based systems to supportnamic correlation and intelligent alert grouping Lead and support innovation efforts including POCs, POVs, and explorationemerging AI/ML tools and strategies Demonstrate a proactive, solution-oriented mindset with the ability to navigate ambiguity and learn quickly Participate in on-call rotations and provide operational support as needed Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics or a related field 5+ years of experience building and deploying ML solutions in production environments 2+ years working with AIOps, observability, or real-time operations data Strong coding skills in Python (including pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow) Experience working with SQL, time-series query languages (e.g., PromQL), and data transformation in pandas or Spark Familiarity with LLMs, prompt engineering fundamentals, or embedding-based retrieval (e.g., sentence-transformers, vector DBs) Strong grasp of modern ML techniques including gradient boosting (XGBoost/LightGBM), autoencoders, clustering (e.g., HDBSCAN), and anomaly detection Experience managing structured + unstructured data, and building features from logs, alerts, metrics, and traces Familiarity with real-time event processing using tools like Kafka, Kinesis, or Flink Strong understanding of model evaluation techniques including precision/recall trade-offs, ROC, AUC, calibration Comfortable working with relational (PostgreSQL), NoSQL (MongoDB), and time-series (InfluxDB, Prometheus) databases Ability to collaborate effectively with SREs, platform teams, and participate in Agile/DevOps workflows Clear written and verbal communication skills to present findings to technical and non-technical stakeholders Comfortable working across Git, Confluence, JIRA, & collaborative agile environments Nice To Have Experience building or contributing to the AIOps platform (e.g., Moogsoft, BigPanda, Datadog, Aisera, Dynatrace, BMC etc.) Experience working in streaming media, OTT platforms, or large-scale consumer services Exposure to Infrastructure as Code (Terraform, Pulumi) and modern cloud-native tooling Working experience with Conviva, Touchstream, Harmonic, New Relic, Prometheus, & event- based alerting tools Hands-on experience with LLMs in operational contexts (e.g., classification of alert text, log summarization, retrieval-augmented generation) Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and embeddings-based search for observability data Experience using MLflow, SageMaker, or Airflow for ML workflow orchestration Knowledge of LangChain, Haystack, RAG pipelines, or prompt templating libraries Exposure to MLOps practices (e.g., model monitoring, drift detection, explainability tools like SHAP or LIME) Experience with containerized model deployment using Docker or Kubernetes Use of JAX, Hugging Face Transformers, or LLaMA/Claude/Command-R models in experimentation Experience designing APIs in Python or Go to expose models as services Cloud proficiency in AWS/GCP, especially for distributed training, storage, or batch inferencing Contributions to open-source ML or DevOps communities, or participation in AIOps research/benchmarking efforts. Certifications in cloud architecture, ML engineering, or data science specializations, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports. Contributes to the company by creating patents, Application Programming Interfaces (APIs). Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 5-7 Years

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 01st August 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds.

About AiSensy AiSensy is a WhatsApp based Marketing & Engagement platform helping businesses like Adani, Delhi Transport Corporation, Yakult, Godrej, Aditya Birla Hindalco, Wipro, Asian Paints, India Today Group, Skullcandy, Vivo, Physicswallah, and Cosco grow their revenues via WhatsApp. Enabling 100,000+ Businesses with WhatsApp Engagement & Marketing 400 Crores+ WhatsApp Messages exchanged between Businesses and Users via AiSensy per year Working with top brands like Delhi Transport Corporation, Vivo, Physicswallah & more High Impact as Businesses drive 25-80% Revenues using AiSensy Platform Mission-Driven and Growth Stage Startup backed by Marsshot.vc, Bluelotus.vc & 50+ Angel Investors Role Overview We are looking for a Senior Machine Learning Engineer to lead the development and deployment of cutting-edge AI/ML systems with a strong focus on LLMs, Retrieval-Augmented Generation (RAG), AI agents , and intelligent automation. You will work closely with cross-functional teams to translate business needs into AI solutions, bringing your expertise in building scalable ML infrastructure, deploying models in production, and staying at the forefront of AI innovation. Key Responsibilities AI & ML System Development Design, develop, and optimize end-to-end ML models using LLMs, transformer architectures, and custom RAG frameworks. Fine-tune and evaluate generative and NLP models for business-specific applications such as conversational flows, auto-replies, and intelligent routing. Lead prompt engineering and build autonomous AI agents capable of executing multi-step reasoning. Infrastructure, Deployment & MLOps Architect and automate scalable training, validation, and deployment pipelines using tools like MLflow, SageMaker, or Vertex AI. Integrate ML models with APIs, databases (vector/graph), and production services ensuring performance, reliability, and traceability. Monitor model performance in real-time, and implement A/B testing, drift detection, and re-training pipelines. Data & Feature Engineering Work with structured, unstructured, and semi-structured data (text, embeddings, chat history). Build and manage vector databases (e.g., Pinecone, Weaviate) and graph-based retrieval systems. Ensure high-quality data ingestion, feature pipelines, and scalable pre-processing workflows. Team Collaboration & Technical Leadership Collaborate with product managers, software engineers, and stakeholders to align AI roadmaps with product goals. Mentor junior engineers and establish best practices in experimentation, reproducibility, and deployment. Stay updated on the latest in AI/ML (LLMs, diffusion models, multi-modal learning), and drive innovation in applied use cases. Required Qualifications Bachelor’s/Master’s degree in Computer Science, Engineering, AI/ML, or a related field from a Tier 1 institution (IIT, NIT, IIIT or equivalent). 2+ years of experience building and deploying machine learning models in production. Expertise in Python and known the frameworks like TensorFlow, PyTorch, Hugging Face, Scikit-learn . Hands-on experience with transformer models , LLMs , LangChain , LangGraph, OpenAI API , or similar. Deep knowledge of machine learning algorithms , model evaluation, hyperparameter tuning, and optimization. Experience working with cloud platforms (AWS, GCP, or Azure) and ML Ops tools (MLflow, Airflow, Kubernetes). Strong understanding of SQL , data engineering concepts, and working with large-scale datasets. Preferred Qualifications Experience with prompt tuning, agentic AI systems , or multi-modal learning . Familiarity with vector search systems (e.g., Pinecone, FAISS, Milvus) and knowledge graphs . Contributions to open-source AI/ML projects or publications in AI journals/conferences. Experience in building conversational AI or smart assistants using WhatsApp or similar messaging APIs. Why Join AiSensy? Build AI that directly powers growth for 100,000+ businesses. Work on cutting-edge technologies like LLMs, RAG, and AI agents in real production environments. High ownership, fast iterations, and impact-focused work. Ready to build intelligent systems that redefine communication? Apply now and join the AI revolution at AiSensy .

Description GlobalLogic is seeking a proactive Prompt Engineer specializes in crafting and refining input prompts to optimize the performance of AI models, particularlyin natural language processing (NLP). This role involves designing clear and effective prompts that guide AI systems to generate accurate, relevant, and contextually appropriate responses. Prompt Engineers collaborate closely with data scientists, software developers, and product teams to enhance AI interactions across various applications, including chatbots, virtual assistants, and content generation tools. Requirements Minimum 2+ year strong background in Python programming, database management, and data science methodologies Prior experience with conversational AI systems or chatbot development is highly desirable Strong research & analytical skills Sound knowledge of Deep learning, transformer, GAN’s , VAE’s and LLM Proven experience in natural language processing, prompt engineering, or similar role Proficiency in programming languages such as Python and experience with relevant libraries and frameworks (eg,TensorFlow, PyTorch, spaCy) Attention to detail Team player Quick learner Critical thinker and problem-solving skills Job responsibilities Prompt Development: Design and develop creative and effective prompts for natural language understanding Collaborate with software engineers and data scientists to integrate prompts into conversational interfaces Prompt Optimization: Continuously iterate and refine prompts to improve the quality and performance of the conversational AI system. Analyze user interactions and feedback to identify areas for prompt enhancement and adjust them accordingly Data Analysis: Analyze user interactions, model outputs, and performance metrics and feedback to continuously improve prompt-based systems Utilize data-driven insights to enhance the effectiveness and efficiency of the prompt engineering process Algorithm Optimization: Work on optimizing algorithms for prompt generation and response to improve system performance Stay updated on the latest advancements in natural language processing and integrate innovative techniques into prompt engineering. Collaboration: Collaborate with cross-functional teams, including software developers, data scientists, and UX designers, to ensure a seamless integration of prompt systems into products Quality Assurance: Prompt Testing and Evaluation: Conduct thorough testing and evaluation of prompts to assess their effectiveness and efficiency. This involves analyzing the generated responses, identifying areas for improvement, and iterating on the prompts to enhance performance Address and resolve any issues related to prompt performance and user experience What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level 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. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities Role : Senior Associate Exp : 3-6 Years Location: Mumbai Job Description: Candidate with 3-5 years of exp and a strong background in machine learning, technical expertise, and domain knowledge in Banking, Financial Services, and Insurance (BFSI). Experience with Generative AI (GenAI) is a must have. Key Responsibilities: Collaborate with clients to understand their business needs and provide data-driven solutions. Develop and implement machine learning models to solve complex business problems. Analyze large datasets to extract actionable insights and drive decision-making. Present findings and recommendations to stakeholders in a clear and concise manner. Stay updated with the latest trends and advancements in data science and machine learning. GenAI Experience: Generative AI (GenAI) experience, including working with models like GPT, BERT, and other transformer-based architectures Ability to leverage GenAI for tasks such as text generation, summarization, and conversational AI Experience in developing and deploying GenAI solutions to enhance business processes and customer experiences Technical Skills: Programming Languages: Proficiency in Python, R, and SQL for data manipulation, analysis, and model development. Machine Learning Frameworks: Extensive experience with TensorFlow, PyTorch, and Scikit-learn for building and deploying models. Data Visualization Tools: Strong knowledge of Tableau, Power BI, and Matplotlib to create insightful visualizations. Cloud Platforms: Expertise in AWS, Azure, and Google Cloud for scalable and efficient data solutions. Database Management: Proficiency in SQL and NoSQL databases for data storage and retrieval. Version Control: Experience with Git for collaborative development and code management. APIs and Web Services: Ability to integrate and utilize APIs for data access and model deployment. Machine Learning algorithms: Supervised and Unsupervised Learning Regression Analysis Classification Techniques Clustering Algorithms Natural Language Processing (NLP) Time Series Analysis Deep Learning Reinforcement Learning Qualifications: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field 3-5 years of relevant experience in data science and machine learning Strong analytical and problem-solving skills Excellent communication and presentation abilities Ability to work independently and as part of a team Mandatory Skill Sets GenAI/BFSI/ Data Visualization Preferred Skill Sets GenAI/ BFSI / Data Visualization Years Of Experience Required 3-6 Years Education Qualification B.E.(B.Tech)/M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning, Machine Learning Libraries, Named Entity Recognition, Natural Language Processing (NLP), Natural Language Toolkit (NLTK) {+ 20 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Up to 40% Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

🚀 Senior AI/ML Engineer – Multi-Agent & MCP Architect Location: Mumbai (Hybrid) Company: Fin 100X.AI – India’s Protocol-Governed AI Financial OS 🏢 Company Description Fin 100X.AI is India’s first protocol-governed, AI-powered Financial Operating System built for Bharat’s 100 crore underserved citizens. We are reimagining finance through: Multi-agent AI orchestration (MCP protocol-driven) Explainable and trustworthy AI Regulatory-first design (RBI, SEBI, IRDAI, PFRDA aligned) Backed by IIT Bombay alumni and top fintech leaders, we are building AI for Bharat that blends technology, trust, and inclusion. 🎯 Role Overview As a Senior AI/ML Engineer (MCP + Multi-Agent Orchestration), you will be part of the founding tech braintrust that defines the core AI architecture of Fin 100X.AI. Your mission: Design and deploy a world-class, multi-agent AI stack powered by MCP (Model Context Protocol) to deliver scalable, explainable, and reliable AI-driven financial advisory modules for 100 crore users. You will directly influence: AI Laxmi orchestration Credit Booster, SIP Planner, Fraud Shield National-scale agentic financial intelligence 🧠 Key Responsibilities Architect and implement multi-agent AI systems using MCP protocol Build LLM orchestration pipelines (LangChain, AutoGen, CrewAI, MCP) Design retrieval-augmented pipelines (RAG) with vector memory & routing Deploy neural models (NLP, NLU, recommendation engines) at scale Create fallback, routing, and governance layers for explainable AI Integrate real-time financial intelligence APIs (OpenAI, Gemini, HuggingFace, etc.) Mentor junior AI engineers; enforce best practices in ML Ops and agent orchestration Collaborate with backend/frontend teams for end-to-end AI productionization ✅ Required Qualifications Core Technical Skills Strong foundation in ML/DL architectures, NLP, and LLMs Expertise in multi-agent orchestration frameworks: MCP, AutoGen, CrewAI, LangGraph Advanced experience with Python (TensorFlow, PyTorch, HuggingFace, FastAPI) Proficient in vector search systems (Pinecone, FAISS, ChromaDB) Deep knowledge of RAG pipelines, memory graphs, prompt chaining Experience deploying models in cloud-native and microservice architectures Preferred Exposure FinTech AI systems or regulated AI environments Agent evaluation, explainability, and safety-first design Scaling AI in hybrid production (cloud + edge) environments 🌟 What We Value Architect mindset with hands-on coding skills Self-driven innovation and ownership from concept → deployment Experience building AI systems for 10M+ scale Passion for financial inclusion, Bharat-first AI, and AI for Good 🏆 Perks Shape India’s AI Financial OS from Day 0 ESOP track + leadership growth National showcase at Global FinTech Fest 2025 Mentorship with IIT Bombay alumni & top AI architects Solve real Bharat-scale problems with MCP-first AI innovation

This role is for one of Weekday's clients Min Experience: 4 years Location: Chennai JobType: full-time Requirements Responsibilities: Design, develop, and implement AI/ML models and algorithms Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions Write clean, efficient, and well-documented code Collaborate with data engineers to ensure data quality and availability for model training and evaluation Work closely with senior team members to understand project requirements and contribute to technical solutions Troubleshoot and debug AI/ML models and applications Stay up-to-date with the latest advancements in AI/ML Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models Develop and deploy AI solutions on Google Cloud Platform (GCP) Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy Utilize Vertex AI for model training, deployment, and management. Integrate and leverage Google Gemini for specific AI functionalities. Qualifications: Bachelor's degree in computer science, Artificial Intelligence, or a related field. 3+ years of experience in developing and implementing AI/ML models. Strong programming skills in Python. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Good understanding of machine learning concepts and techniques. Ability to work independently and as part of a team. Strong problem-solving skills. Good communication skills. Experience with Google Cloud Platform (GCP) is preferred. Familiarity with Vertex AI is a plus

Hello! You've landed on this page, which means you're interested in working with us. Let's take a sneak peek at what it's like to work at Innovaccer. Analytics at Innovaccer Our analytics team is dedicated to weaving analytics and data science magics across our products. They are the owners and custodians of intelligence behind our products. With their expertise and innovative approach, they play a crucial role in building various analytical models (including descriptive, predictive, and prescriptive) to help our end-users make smart decisions. Their focus on continuous improvement and cutting-edge methodologies ensures that they're always creating market leading solutions that propel our products to new heights of success. About The Role Data is the foundation of our innovation. We are seeking a Manager, Data Science with expertise in NLP and Generative AI to lead the development of cutting-edge AI-driven solutions in healthcare. This role requires a deep understanding of healthcare data and the ability to design and implement advanced language models that extract insights, automate workflows, and enhance clinical decision-making. We're looking for a visionary leader who can define and build the next generation of AI-driven tools, leveraging LLMs, deep learning, and predictive analytics to personalize care based on patients' clinical and behavioral history. If you're passionate about pushing the boundaries of AI in healthcare, we'd love to hear from you! A Day in the Life Team Leadership & Development: Build, mentor, and manage a team of data scientists, and machine learning engineers. Foster a culture of collaboration, innovation, and technical excellence Roadmap Execution: Define and execute on the quarterly AI/ML roadmap, setting clear goals, priorities, and deliverables for the team. Work with the business leaders and customers to understand their pain-points and build large-scale solutions for them. Define technical architecture to productize Innovaccer's machine-learning algorithms and take them to market with partnerships with different organization Work with our data platform and applications team to help them successfully integrate the data science capability or algorithms in their product/workflows Project & Stakeholder Management: Work closely with cross-functional teams, including product managers, engineers, and business leaders, to align AI/ML initiatives with company objectives What You Need Masters in Computer Science, Computer Engineering or other relevant fields (PhD Preferred) 8+ years of experience in Data Science (healthcare experience will be a plus) Strong experience with deep learning techniques to build NLP/Computer vision models as well as state of art GenAI pipelines - Has demonstrable experience deploying deep learning models in production at scale with interactive improvements- would require hands-on expertise with at least 1 deep learning frameworks like Pytorch or Tensorflow Strong hands-on experience in building GenAI applications - building LLM based workflows along with optimization techniques - knowledge of implementing agentic workflows is a plus Has keen interest in research and stays updated with key advancements in the area of AI and ML in the industry. Having patents/publications in any area of AI/ML is a great add on Hands on experience with at least one ML platform among Databricks, Azure ML, Sagemaker s Strong written and spoken communication skills We offer competitive benefits to set you up for success in and outside of work. Here's What We Offer Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury Pet-Friendly Office*: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office only Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first. *India offices Where And How we work Our Noida office is situated in a posh techspace, equipped with various amenities to support our work environment. Here, we follow a five-day work schedule, allowing us to efficiently carry out our tasks and collaborate effectively within our team. Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer : Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details.

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 01st August 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 01st August 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds .

Design, develop, and deploy AI/NLP solutions to solve diverse business challenges—particularly in areas like text classification, information extraction, summarization, and semantic search Conduct exploratory data analysis and feature engineering Contribute to the development initiatives in the GenAI domain, focusing on cutting-edge technologies like Large Language Models, Retrieval-Augmented Generation, and autonomous agents. Validate and monitor solution quality using real-world feedback data Work closely with ML engineers and DevOps teams to operationalize models (on cloud and on-prem environments) Hands-on experience on deploying solutions to cloud-native AI platforms (AWS/Azure/GCP) Collaborate with clients and business stakeholders to scope and refine requirements, validate model behavior, and ensure successful deployment Explore and experiment with LLMs, prompt engineering, and retrieval-augmented generation (RAG) techniques for advanced use cases Contribute to building reusable components, best practices, and scalable frameworks for AI delivery Exeperience of development of retrieval-augmented systems by combining LLMs with document retrieval, clustering, and search techniques. Qualifications 3–6 years of hands-on experience in data science, with a focus on NLP, deep learning, and machine learning applications Strong programming skills in Python; experience with relevant libraries such as scikit-learn, spaCy, NLTK, PyTorch, TensorFlow, or Hugging Face Proven experience in delivering NLP/LLM-based solutions Familiarity with cloud platforms (AWS, Azure, or GCP) and experience with deploying AI models to production Ability to handle end-to-end ownership of solutions, from POC to deployment Prior experience in consulting or client-facing data science roles is a plus Exposure to document databases (e.g., MongoDB), graph databases, or vector databases (e.g., FAISS, Pinecone) is a bonus

About The Role We are seeking experienced AI Engineers with 3 to 8 years of expertise in designing, developing and implementing advanced AI models and algorithms, The ideal candidate will be particularly focused on Generative AI, machine learning and natural language processing. Requirements Minimum 3 to 8 years in AI/ML development with strong Python skills. Develop and deploy cloud-native applications using Azure services such as Azure Functions, Azure ML, App Service, Storage, and Cosmos DB. Familiarity with Amazon SageMaker is a plus. Expertise in machine learning frameworks like TensorFlow, PyTorch and Scikit-learn, with proficiency in deep learning techniques. Proven experience with Generative AI and cloud platforms (Azure, AWS or GCP). In-depth knowledge of infrastructure as code tools, including Terraform and ARM templates. Ability to work closely with data scientists, product managers, and cross-functional teams to align with business objectives. Comfortable engaging in code and design reviews within agile environments. Demonstrates a continuous learning mindset, with the ability to stay updated on AI, machine learning and cloud advancements.

Job Title : AI Trainer – Curriculum Designer (Smart Factory AI Training Program) Experience : 3+ Years Location : Chennai Contract Duration : Short Term Work Time : IST Shift Job Description We are seeking a dynamic and experienced AI Trainer to design, develop, and deliver tailored training content for diverse learner groups, from leadership teams to shop floor workers. The ideal candidate combines deep technical knowledge in AI/ML with instructional design expertise and experience in industrial or manufacturing environments. Key Responsibilities Curriculum Development Design structured, role-specific AI training programs for four key groups: Leadership, Technical Leads, Junior Engineers, and Shop Floor Operators Develop comprehensive training materials including presentations, hands-on exercises, case studies, and assessments Align training content with real-world manufacturing and factory automation scenarios Coordinate with technical and business teams to incorporate platform-specific use cases (e.g., Vision AI, Autonomous Systems, Data-Driven Automation) Training Delivery Conduct in-person training sessions in Chennai over 10 scheduled training days for different participant groups Deliver content clearly and effectively, customized to the learning level and needs of each audience Promote engagement through interactive methods like Q&A sessions, group exercises, and practical demos Support post-training queries and analyze feedback for continuous improvement Collaboration and Support Work closely with AI experts, product managers, and client stakeholders to validate and refine content Adapt the curriculum to align with ongoing project requirements and factory transformation objectives Training Groups and Format Leadership Team: 4 hours (2 sessions) – Strategic orientation on AI in manufacturing Technical Leads: 2 days – Applied AI/ML in industrial innovation Junior Engineers: 3 days – Developer bootcamp from data pipelines to model deployment Shop Floor Staff: 1 day × 4 batches – Basic AI awareness and practical application Required Skills and Qualifications 6 to 10 years of experience in AI/ML training, curriculum design, or corporate L&D in data science or AI Strong understanding of machine learning, computer vision, and industrial AI applications Proficiency in Python and tools such as TensorFlow, PyTorch, Jupyter, and scikit-learn Proven ability to explain complex AI/ML concepts to both technical and non-technical audiences Experience in manufacturing, robotics, industrial automation, or vision systems is highly desirable Strong presentation, facilitation, and communication skills Preferred Skills Bachelor's or Master’s degree in Computer Science, AI/ML, Engineering, or related fields Certifications in AI/ML from institutions such as DeepLearning.ai, Google, or Microsoft Experience delivering training for industrial use cases or AI product deployments Why Join This Project? Contribute to a large-scale smart factory transformation initiative Deliver impactful, real-world AI training across organizational levels Collaborate with leading AI innovators and technology teams

Job Description Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space with over 16,700 stores in 31 countries, serving more than 9 million customers each day. The India Data & Analytics Global Capability Centre is an integral part of ACT’s Global Data & Analytics Team and the Senior Data Scientist will be a key player on this team that will help grow analytics globally at ACT. The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. About The Role The incumbent will be responsible for delivering advanced analytics projects that drive business results including interpreting business, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables. Responsibilities Analytics & Strategy Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data Operational Excellence Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses Stakeholder Engagement Working collaboratively across multiple sets of stakeholders – Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats Job Requirements Education Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) Master’s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) Relevant Experience 5–7 years of relevant working experience in a data science/advanced analytics role Behavioural Skills Delivery Excellence Business disposition Social intelligence Innovation and agility Knowledge Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics) Statistical modelling using Analytical tools (R, Python, KNIME, etc.) and use big data technologies Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference) Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference. Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.) Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.) Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.) Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.) Microsoft Office applications (MS Excel, etc.)

🔍 We’re Hiring: Senior AI/ML Developer (3+ Years Experience) 📍 Location: On-site 🕒 Full-Time At Metaqualt Software Pvt. Ltd. , we don’t just follow technology—we shape it. As we continue to scale our AI-driven solutions across industries, we’re looking for a Senior AI/ML Developer to join our growing team of innovators and problem-solvers. 🔧 Your Role: As a Senior AI/ML Developer, you’ll take ownership of building robust, scalable machine learning models and deploying them in real-world applications. You’ll work closely with cross-functional teams to design intelligent systems that power next-gen digital experiences. ✅ What You’ll Bring: 3+ years of hands-on experience in Machine Learning, Deep Learning, or AI product development. Strong proficiency in Python and experience with TensorFlow, PyTorch, or similar frameworks. Practical knowledge of end-to-end ML lifecycle—data preprocessing, model training, evaluation, and deployment. Experience in deploying ML models using Docker, Flask/FastAPI , and cloud platforms (AWS/GCP/Azure). A solid foundation in mathematics, statistics, and data structures. 💡 Bonus Points For: Exposure to LLMs, Generative AI , or MLOps tools (e.g., MLflow, Kubeflow). Experience with blockchain + AI integrations or interest in emerging tech convergence. Mentorship experience or technical leadership on projects. 🌟 Why Join Metaqualt? Opportunity to work on real-world AI applications across sectors. Collaborative, innovation-first work culture. Competitive compensation and flexible work model. Projects that make an impact—not just experiments. 📨 Ready to take the lead in AI innovation? Send your CV to hr@metaqualt.com Subject: AI/ML Developer – [Your Name] Let’s build intelligent systems that matter—together.

We seek an experienced Principal Data Scientist to lead our data science team and drive innovation in machine learning, advanced analytics, and Generative AI. This role blends strategic leadership with deep technical expertise across ML engineering, LLMs, deep learning, and multi-agent systems. You will be at the forefront of deploying AI-driven solutions, including agentic frameworks and LLM orchestration, to tackle complex, real-world problems at scale. Primary Stack: Languages: Python, SQL Cloud Platforms: AWS or GCP preferred ML & Deep Learning: PyTorch, TensorFlow, Scikit-learn GenAI & LLM Toolkits: Hugging Face, LangChain, OpenAI APIs, Cohere, Anthropic Agentic & Orchestration Frameworks: LangGraph, CrewAI, Agno, Autogen, AutoGPT Vector Stores & Retrieval: FAISS, Pinecone, Weaviate MLOps & Deployment: MLflow, SageMaker, Vertex AI, Kubeflow, Docker, Kubernetes, Fast API Key Responsibilities: Lead and mentor a team of 10+ data scientists and ML engineers, promoting a culture of innovation, ownership, and cross-functional collaboration. Drive the development, deployment, and scaling of advanced machine learning, deep learning, and GenAI applications across the business. Build and implement agentic architectures and multi-agent systems using tools like LangGraph, CrewAI, and Agno to solve dynamic workflows and enhance LLM reasoning capabilities. Architect intelligent agents capable of autonomous planning, decision-making, tool use, and collaboration. Leverage LLMs and transformer-based models to power solutions in NLP, conversational AI, information retrieval, and decision support. Develop and scale ML pipelines on cloud platforms, ensuring performance, reliability, and reproducibility. Establish and maintain MLOps processes (CI/CD for ML, monitoring, governance) and ensure best practices in responsible AI. Collaborate with product, engineering, and business teams to align AI initiatives with strategic goals. Stay ahead of the curve on AI/ML trends, particularly in the multi-agent and agentic systems landscape, and advocate for their responsible adoption. Present results, insights, and roadmaps to senior leadership and non-technical stakeholders in a clear, concise manner. Qualifications: 9+ years of experience in data science, business analytics, or ML engineering, with 3+ years in a leadership or principal role. Demonstrated experience in architecting and deploying LLM-based solutions in production environments. Deep understanding of deep learning, transformers, and modern NLP. Proven hands-on experience building multi-agent systems using LangGraph, CrewAI, Agno, or related tools. Strong grasp of agent design principles, including memory management, planning, tool selection, and self-reflection loops. Expertise in cloud-based ML platforms (e.g., AWS SageMaker, GCP Vertex AI) and MLOps best practices. Familiarity with retrieval-augmented generation (RAG) and vector databases (e.g., FAISS, Pinecone). Excellent communication, stakeholder engagement, and cross-functional leadership skills.

Roles & Responsibilities Key Responsibilities: Develop robust, scalable Python-based applications aligned with company requirements. Integrate and implement Generative AI models into business applications. Design, build, and maintain data pipelines and data engineering solutions on Azure. Collaborate closely with cross-functional teams (data scientists, product managers, data engineers, and cloud architects) to define, design, and deploy innovative AI and data solutions. Build, test, and optimize AI pipelines, ensuring seamless integration with Azure-based data systems. Continuously research and evaluate new AI and Azure data technologies and trends to enhance system capabilities. Participate actively in code reviews, troubleshooting, debugging, and documentation. Ensure high standards of code quality, performance, security, and reliability. Required Skills Advanced proficiency in Python programming, including libraries and frameworks like Django, Flask, FastAPI. Experience in Generative AI technologies (e.g., GPT models, LangChain, Hugging Face). Solid expertise in Azure Data Engineering tools such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage. Familiarity with AI/ML libraries such as TensorFlow, PyTorch, or OpenAI API. Experience with RESTful APIs, microservices architecture, and web application development. Strong understanding of databases (SQL, NoSQL) and ETL processes. Good knowledge of containerization and orchestration technologies like Docker, Kubernetes. Strong problem-solving, analytical, and debugging skills. Preferred Qualifications Bachelor's/master’s degree in computer science, Engineering, or related fields. Prior experience developing AI-enabled products or implementing AI into applications. Azure certifications (AZ-204, DP-203, AI-102) or equivalent. Exposure to DevOps practices and CI/CD pipelines, especially in Azure DevOps. Soft Skills Strong communication and teamwork skills. Ability to work independently and proactively. Passion for continuous learning and professional growth. Location: Gurgaon, Noida, Pune, Bengaluru, Kochi Experience 4.5-6 Years Skills Primary Skill: Data Engineering Sub Skill(s): Data Engineering Additional Skill(s): Python, Azure Data Factory, Python-Django About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.

BU: Working Professional Job Title: Asst Manager- DS/ML Location: WFH Experience Required: 3-8 years Work schedule: Live Session- Monday to Friday2hrs/per day in the evening, 7:30 pm-9:30 pm Live Session- Saturday & Sunday- 10hrs/per day from 10:00 am- 10:00 pm Key Responsibilities:  Live Instruction: Teach core DS/ML topics (supervised & unsupervised learning, deep learning, model evaluation, MLOps) through interactive sessions.  Curriculum Collaboration: Work with content teams to design labs, code walkthroughs, and real-world case studies using Python, scikit-learn, TensorFlow/PyTorch, and cloud-based DS/ML services.  Learner Support: Field technical questions, debug code, review notebooks, and provide actionable feedback on assignments and projects.  Project Mentorship: Guide capstone work—e.g., image/video models, NLP pipelines, recommendation systems, and deployment pipelines.  Continuous Improvement: Analyze learner performance data to refine modules, introduce emerging topics (e.g., transformers, generative models), and enhance assessments. Requirements:  3+ years of industry or academic experience in DS/ML or AI.  Minimum Master’s degree in DS or ML &AI or CS specialization in AI & DS/ML  Proficiency in Python and ML frameworks (scikit-learn, TensorFlow or PyTorch).  Familiarity with MLOps tools (Docker, Kubernetes, MLflow) and cloud ML services (AWS SageMaker, GCP AI Platform, or Azure ML).  Excellent presentation and mentoring skills in live and small-group settings.  Prior teaching or edtech experience is a strong plus.

Job Description We are seeking an experienced and highly motivated AI/ML Lead Developer to lead our team in the development of advanced AI/ML solutions. The ideal candidate will have a strong focus on natural language processing (NLP) and NLU related work, with secondary focus on computer vision and deep learning. Experience with chatbots development would be a plus. Location- Chandigarh, Nagpur Exp.- 4+ yrs. Key Responsibilities: Lead the development and implementation of advanced AI/ML algorithms for natural language processing, computer vision, and deep learning tasks Collaborate with cross-functional teams to understand business requirements and develop solutions Mentor and manage a team of AI/ML developers, guiding them in the development of high-quality, scalable AI/ML models Experiment with new AI/ML techniques and technologies to improve performance and scalability Stay up-to-date with the latest research in AI/ML, particularly in the areas of NLP, computer vision, and deep learning Qualifications: 4+ years of experience in AI/ML development with a strong focus on NLP related work, and secondary focus on computer vision and deep learning Experience leading and managing a team of AI/ML developers Strong programming skills in Python and experience with TensorFlow, PyTorch, Keras, or similar frameworks Experience with NLP libraries such as NLTK, spaCy, HuggingFace and computer vision libraries like OpenCV Working experience with GPT3, BERT models Experience with deep learning architectures such as CNN, RNN, GAN and LSTM Strong understanding of machine learning concepts and techniques Experience with cloud-based AI/ML platforms such as AWS or Google Cloud Experience with chatbot development is a plus Excellent communication and leadership skills Company overview: smartData is a leader in global software business space when it comes to business consulting and technology integrations making business easier, accessible, secure and meaningful for its target segment of startups to small & medium enterprises. As your technology partner, we provide both domain and technology consulting and our inhouse products and our unique productized service approach helps us to act as business integrators saving substantial time to market for our esteemed customers. With 8000+ projects, vast experience of 20+ years, backed by offices in the US, Australia, and India, providing next door assistance and round-the-clock connectivity, we ensure continual business growth for all our customers. Our business consulting and integrator services via software solutions focus on important industries of healthcare, B2B, B2C, & B2B2C platforms, online delivery services, video platform services, and IT services. Strong expertise in Microsoft, LAMP stack, MEAN/MERN stack with mobility first approach via native (iOS, Android, Tizen) or hybrid (React Native, Flutter, Ionic, Cordova, PhoneGap) mobility stack mixed with AI & ML help us to deliver on the ongoing needs of customers continuously. For more information, visit http://www.smartdatainc.com If Interested, Kindly share your Updated Resume along with below details- Total Experience: Relevant Experience: Tech Stack: Current Company: Current Location: Home Location: Reason of Change: Number of Job Changes: Current Salary: Expected Salary: Notice Period: Contact No.: Alternative contact no: Mail ID: Ready to Relocate Mohali/Nagpur: Y/N Ready to Work From Office: Y/N Please share your updated CV on deepti.vyas@smartdatainc.net or call us on 9664338930. Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹1,400,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Work Location: In person

2 Years of experience mandatory Machine Learning (ML): Supervised & unsupervised learning Regression, classification, clustering Model evaluation and tuning Deep Learning: Neural networks (CNNs, RNNs, LSTMs, Transformers) Frameworks: TensorFlow, PyTorch, Keras Data Science & Analytics: Data cleaning and pre-processing Feature engineering EDA (Exploratory Data Analysis) Programming: Proficient in Python (NumPy, pandas, scikit-learn, matplotlib, etc.) Optional: R, Julia, or C++ NLP & LLMs: Text preprocessing, embeddings (word2vec, BERT, etc.) Fine-tuning and using LLMs (e.g., GPT, BERT, T5) Computer Vision: Image classification, object detection OpenCV, YOLO, or similar libraries Math & Stats: Linear algebra, probability, calculus Statistical modeling Infrastructure & DevOps Cloud platforms: AWS, GCP, Azure MLOps: ML pipelines, model versioning (e.g., MLflow, DVC) Docker, Kubernetes for deployment Git and version control Understanding business problems and translating them into AI solutions Job Type: Full-time Pay: ₹50,499.45 - ₹75,027.94 per month Schedule: Day shift Experience: AL/ML: 2 years (Required) Work Location: In person

Artificial Intelligence Intern (Paid | Certificate | 100% Job Guarantee) Join our Artificial Intelligence Internship program designed for students and recent graduates looking to kickstart a career in AI. This is a paid internship that includes an experience certificate and a 100% job guarantee . You’ll gain hands-on experience working on real-world projects in machine learning, deep learning, and natural language processing. Interns will work with tools such as Python, TensorFlow, PyTorch, and Scikit-learn under the guidance of experienced AI professionals. What You’ll Get: Official experience certificate upon completion 100% job guarantee based on performance Real-time project exposure in AI/ML One-on-one mentorship from industry experts Skill development in data preprocessing, model building, and evaluation This internship is ideal for those passionate about artificial intelligence and ready to learn in a practical, fast-paced environment. It’s more than just training — it's your first step toward a professional AI career. Limited slots available. Apply now to secure your place! Job Type: Internship Contract length: 8 months Schedule: Monday to Friday Morning shift Weekend only Work Location: In person

Data Science and AI Developer **Job Description:** We are seeking a highly skilled and motivated Data Science and AI Developer to join our dynamic team. As a Data Science and AI Developer, you will be responsible for leveraging cutting-edge technologies to develop innovative solutions that drive business insights and enhance decision-making processes. **Key Responsibilities:** 1. Develop and deploy machine learning models for predictive analytics, classification, clustering, and anomaly detection. 2. Design and implement algorithms for data mining, pattern recognition, and natural language processing. 3. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. 4. Utilize advanced statistical techniques to analyze complex datasets and extract actionable insights. 5. Implement scalable data pipelines for data ingestion, preprocessing, feature engineering, and model training. 6. Stay updated with the latest advancements in data science, machine learning, and artificial intelligence research. 7. Optimize model performance and scalability through experimentation and iteration. 8. Communicate findings and results to stakeholders through reports, presentations, and visualizations. 9. Ensure compliance with data privacy regulations and best practices in data handling and security. 10. Mentor junior team members and provide technical guidance and support. **Requirements:** 1. Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. 2. Proven experience in developing and deploying machine learning models in production environments. 3. Proficiency in programming languages such as Python, R, or Scala, with strong software engineering skills. 4. Hands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Spark MLlib. 5. Solid understanding of data structures, algorithms, and computer science fundamentals. 6. Excellent problem-solving skills and the ability to think creatively to overcome challenges. 7. Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment. 8. Certification in Data Science, Machine Learning, or Artificial Intelligence (e.g., Coursera, edX, Udacity, etc.). 9. Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus. 10. Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) is an advantage. Data Manipulation and Analysis : NumPy, Pandas Data Visualization : Matplotlib, Seaborn, Power BI Machine Learning Libraries : Scikit-learn, TensorFlow, Keras Statistical Analysis : SciPy Web Scrapping : Scrapy IDE : PyCharm, Google Colab HTML/CSS/JavaScript/React JS Proficiency in these core web development technologies is a must. Python Django Expertise: In-depth knowledge of e-commerce functionalities or deep Python Django knowledge. Theming: Proven experience in designing and implementing custom themes for Python websites. Responsive Design: Strong understanding of responsive design principles and the ability to create visually appealing and user-friendly interfaces for various devices. Problem Solving: Excellent problem-solving skills with the ability to troubleshoot and resolve issues independently. Collaboration: Ability to work closely with cross-functional teams, including marketing and design, to bring creative visions to life. interns must know about how to connect front end with datascience Also must Know to connect datascience to frontend **Benefits:** - Competitive salary package - Flexible working hours - Opportunities for career growth and professional development - Dynamic and innovative work environment Job Type: Full-time Pay: ₹8,000.00 - ₹12,000.00 per month Ability to commute/relocate: Thiruvananthapuram, Kerala: Reliably commute or planning to relocate before starting work (Preferred) Work Location: In person

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Your New Role : As the Director ML Engineering & Automation, you will lead a dynamic team at the forefront of transforming the Media & Entertainment industry. In this high-impact role, you will be responsible for driving the strategic direction and execution of ML and AI solutions to enhance content personalization, automate workflows, and provide innovative, data-driven experiences. You will work closely with cross-functional teams, including Data Scientists, Software Engineers, and Product Managers, to deliver cutting-edge solutions that fuel business growth and deliver the next generation of entertainment experiences. This is an exciting opportunity to shape the future of entertainment through AI-driven innovation. In this leadership role, you will have the opportunity to build and scale a world-class ML engineering team, while leveraging your expertise to solve some of the most complex and exciting challenges in the industry. This role combines technical excellence, strategic vision, and team leadership to make a lasting impact on the company's mission. Your Role Accountabilities: 1. Leadership & Team Building Lead, mentor, and grow a high-performing ML engineering team, fostering a culture of innovation and continuous improvement. Define and execute the roadmap for building scalable, high-impact ML solutions that support the company's core business and strategic objectives. Collaborate closely with leadership across departments, including data science, product management, and IT, to ensure alignment of ML initiatives with business needs. Establish clear performance metrics and regularly assess the effectiveness of the team and individual contributors. Promote knowledge-sharing, best practices, and a growth mindset within the team to enhance technical depth and execution efficiency. 2. End-to-End ML Solution Development Oversee the design, development, deployment, and maintenance of machine learning models and systems that power content recommendation engines, personalization, automation, and other key business areas. Drive the adoption of best practices in model development, testing, monitoring, and optimization across the team. Build scalable, production-ready ML pipelines that process vast amounts of data and generate real-time insights. Ensure that solutions are optimized for performance, cost-efficiency, and maintainability in a cloud-native, microservices environment. Lead efforts to continuously improve model performance, incorporating user feedback and business metrics. 3. Innovation & Strategy Identify and evaluate emerging technologies, algorithms, and methodologies in the AI/ML space, integrating them into the company's tech stack to maintain a competitive edge. Work closely with senior leadership to define AI/ML strategies and influence decision-making on product and business development. Evaluate and implement advanced techniques in natural language processing (NLP), computer vision, deep learning, reinforcement learning, and other domains as relevant to the media industry. Provide thought leadership on the application of AI/ML in media and entertainment, positioning the company as a leader in AI-driven innovation. 4. Collaboration & Cross-Functional Engagement Partner with product management, engineering, and business teams to translate complex business problems into technical ML solutions. Collaborate on the integration of ML models into products and workflows, ensuring smooth end-to-end delivery from prototype to production. Act as a trusted advisor to executives and stakeholders on ML capabilities, project status, risks, and business impact. Drive the development and implementation of data governance, privacy, and security practices to ensure compliance with regulatory requirements. Facilitate the sharing of ML insights with broader company teams, providing transparency and fostering a data-driven culture. 5. Performance Monitoring & Reporting Define and track key performance indicators (KPIs) to measure the success of ML initiatives and models. Oversee the collection and analysis of model performance data, providing regular updates to leadership and stakeholders. Ensure that deployed models are continuously monitored, maintained, and updated to meet evolving business needs. Lead post-mortem analyses of model failures and actively drive improvements based on lessons learned. Utilize data to iterate and refine models to increase their accuracy and efficiency. Qualifications & Experiences: Master’s or Ph.D. degree in Computer Science, Engineering, Data Science, Machine Learning, or a related field from a reputed institution. 12+ years of experience in the field of machine learning and AI, with at least 5 years in a leadership or managerial role. Proven track record of successfully leading and scaling ML engineering teams and delivering large-scale ML projects in a fast-paced environment. Experience working in the Media & Entertainment industry or related sectors, with knowledge of data-driven content recommendations, personalization, and automation. Expertise in designing, building, and deploying production-grade machine learning systems at scale. Experience in leading cross-functional teams to deliver end-to-end machine learning solutions, from conceptualization to deployment and optimization. Demonstrated ability to influence senior stakeholders and executives, translating technical concepts into business impact. Strong expertise in machine learning algorithms, deep learning, reinforcement learning, and statistical modeling techniques. In-depth knowledge of data structures, software engineering principles, and system design. Experience with distributed computing and cloud technologies (AWS, GCP, Azure) and containerization (Docker, Kubernetes). Proficiency in programming languages such as Python, Java, or Scala, and familiarity with ML frameworks like TensorFlow, PyTorch, or Keras. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.