254 Ml Algorithms Jobs - Page 10

Greetings!!! Currently we have an urgent Position for Senior MLOps role with one of our project, location based out Remote. Kindly find below the details for your Perusal. Job Location : Remote Mode of Employment : Contract (1 Year Fixed-term employment to Sonata Software Services thru a 3rd part Payroll) Notice Period : Maximum 15-20 Days Job Description: Data engineering, Machine Learning Consultant with ML Ops Skill and 2-3 minimum production level Implementation on their portfolio. Senior Data engineer with MLOps experience, working with ML models and deployments. Requires good skills in Python, SQL, data pipelines. Azure ML experience preferred About Sonata Software: Sonata is a global software company, one of the fastest growing in India. It specializes in Platform Engineering, Sonatas proprietary Platformation methodology, providing a framework that assists companies with their digital transformation journeys and helps them build their businesses on platforms that are Open, Connected, Intelligent, and Scalable. Sonata's platform engineering expertise is supported by its capabilities in Cloud and Data, IoT, AI, and Machine Learning, Robotic Process Automation, and Cybersecurity. With its centres in India, the US, Europe, and Australia, Sonata brings Thought leadership, Customer-centricity, and Execution Excellence towards catalysing the business transformation process for its customers around the world. You can read more here: https://www.sonata-software.com/platformation Best Regards, Sathish Kumar Gnanasekaran Talent Acquisition M: +91 9840669681 | P: +91 44 7100 1700

Ready to build the future with AI? At Genpact, we dont just keep up with technologywe set the pace. AI and digital innovation are redefining industries, and were leading the charge. Genpacts AI Gigafactory, our industry-first accelerator, is an example of how were scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. I Inviting applications for the role of AIML Engineer! In this role, we are looking for candidates who have relevant years of experience in designing and developing machine learning and deep learning system. Who have professional software development experience. Hands on running machine learning tests and experiments. Implementing appropriate ML algorithms engineers. Responsibilities • Drive the vision for modern data and analytics platform to deliver well architected and engineered data and analytics products leveraging cloud tech stack and third-party products • Close the gap between ML research and production to create ground-breaking new products, features and solve problems for our customers • Design, develop, test, and deploy data pipelines, machine learning infrastructure and client-facing products and services • Build and implement machine learning models and prototype solutions for proof-of-concept • Scale existing ML models into production on a variety of cloud platforms • Analyze and resolve architectural problems, working closely with engineering, data science and operations teams Qualifications we seek in you! Minimum Qualifications / Skills • Bachelor's degree in computer science engineering, information technology or BSc in Computer Science, Mathematics or similar field • Master’s degree is a plus • Integration – APIs, micro-services and ETL/ELT patterns • DevOps (Good to have) – Ansible, Jenkins, ELK • Containerization – Docker, Kubernetes etc • Orchestration – Airflow, Step Functions, Ctrl M etc • Languages and scripting: Python, Scala Java etc • Cloud Services - AWS, GCP, Azure and Cloud Native • Analytics and ML tooling – Sagemaker, ML Studio • Execution Paradigm – low latency/Streaming, batch Preferred Qualifications/ Skills • Data platforms – Big Data (Hadoop, Spark, Hive, Kafka etc.) and Data Warehouse (Teradata, Redshift, BigQuery, Snowflake etc.) • Visualization Tools - PowerBI, Tableau Why join Genpact? Lead AI-first transformation – Build and scale AI solutions that redefine industries Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career —Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Data Science Senior Advisor Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. Whats more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. Join us to do the best work of your career and make a profound social impact as a Data Science Senior Advisor on our Pricing Analytics Team under Client Solutions Group located in Bangalore . What youll achieve As a Data Science Senior Advisor, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines. You will: •Collaborate with internal and external teams to understand customer requirements •Develop and apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights •Develop and drive testing of algorithms efficacy for differing analytical use-cases •Performs end-to-end steps involved in model development while establishing subject-matter expertise •Work with the academic and business community to develop new techniques and to contribute to research in the area of large databases Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: Essential Requirements •8 to 12 years of related experience •Solid statistical skills. ML exp, LLM models •Solid Python Programming •Good understanding of business environment and industry trends •Good communication and problem-solving skills and being customer focused Desirable Requirements •Bachelor’s degree •Ability to act as a coach to the team •Strong product/technology/industry knowledge

We are looking for passionate and hands-on technical managers to join our Core AI Services team. In this role, you will help deliver the long-term vision, strategy and roadmap for the AI platform services, ensuring alignment with the overall company product strategy and business objectives with the help of your team. The overall aim to design, develop, and scale AI-enabling platform services and public APIs that are secure, reliable, and cloud-native. These services will act as foundational building blocks for AI adoption across AVEVAs product portfolio and partner ecosystem. You will manage a Scrum team to build innovative, standards-compliant, secure and production-grade AI capabilities, with a builder mindset - rapid prototyping and continuous improvement with agility of a start-up. Key Responsibilities: Oversee the architectural design of scalable, fault-tolerant cloud-native services on Microsoft Azure, ensuring high performance and reliability. Provide technical guidance and mentorship to the development and testing teams, acting as a trusted escalation point for complex technical challenges. Translate high-level business requirements from portfolio into clear actionable technical requirements and features for the AI platform. Manage the platforms backlog and make decisions on release cycles and service enhancements. Embed robust security controls to protect sensitive data and ensure secure access to AI services. Lead, mentor and grow a high-performing team of AI Platform developers and testers, fostering a culture of continuous learning, and contribute to a culture of innovation. Conduct performance reviews and support career development for team members. Work with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development. Identify and mitigate technical, operational, and security risks associated with the AI platform. Ensure compliance with relevant industry regulations, internal policies, and data governance standards, particularly concerning data privacy and AI ethics. AI & Cloud Expertise Experience working with Large Language Models (LLMs) and understanding of trade-offs between performance, cost, and capability. Understanding of Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling. Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A). Strong knowledge or experience in working with various ML algorithms (regression, classification, clustering, deep learning) Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act), and commitment to responsible AI development. Fluent in developing code using AI Tools such as GitHub Copilot. Must be able to use prompt engineering to carry out multiple development tasks. Familiar with AI orchestration, including tools like AI Foundry and/or Semantic Kernel. Experience with tools for automated testing and evaluation of AI outputs is a plus. Experience in Python and AI frameworks / tools such as PyTorch and TensorFlow. Core Skills and Qualifications: 10+ years of experience in software engineering, including 35 years leading technical teams, and hands-on experience building cloud-native or AI platform services. Hands-on experience with Microsoft Azure and associated PaaS services (e.g., Azure Functions, AKS, API Management). Strong expertise in RESTful API design, versioning, testing, and lifecycle management. Proficient in securing APIs, managing authentication/authorization and data privacy practices. Experience leading technical teams, mentoring, performance management. Should be experienced in planning, scheduling, resource allocation, risk management, and stakeholder communication. Excellent verbal and written communication skills for interacting with developers, testers, product teams, and senior management. Excellent problem-solving skills, with the ability to analyse complex technical challenges and propose scalable solutions. Experience working in Agile teams and collaborating across global R&D locations Demonstrated ability to mentor junior team members fostering a culture of continuous learning and innovation Demonstrated experience with AI frameworks, tools and Python Hybrid working

Reports To: R&D Senior Manager We are looking for passionate and skilled Software Developers to join our Core AI Services team. In this role, you will help design, develop, and scale AI-enabling platform services and public APIs that are secure, reliable, and cloud-native. These services will act as foundational building blocks for AI adoption across AVEVAs product portfolio and partner ecosystem. You will part of a Scrum team to build innovative, standards-compliant, secure and production-grade AI capabilities, with a builder mindset - rapid prototyping and continuous improvement with agility of a start-up. Key Responsibilities: Build scalable, fault-tolerant cloud-native services on Microsoft Azure, ensuring high performance and reliability. Develop secure, well-documented public APIs and SDKs for consumption by internal and external developers. Collaborate with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration, and service APIs. Embed robust security controls to protect sensitive data and ensure secure access to AI services. Contribute to design reviews, code reviews, and architectural discussions to ensure engineering excellence. Mentor junior developers, encourage continuous learning, and contribute to a culture of innovation. Work with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development. AI & Cloud Expertise Experience working with Large Language Models (LLMs) and understanding of trade-offs between performance, cost, and capability. Understanding of Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling. Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A). Strong knowledge or experience in working with various ML algorithms (regression, classification, clustering, deep learning) Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act), and commitment to responsible AI development. Fluent in developing code using AI Tools such as GitHub Copilot. Must be able to use prompt engineering to carry out multiple development tasks. Familiar with AI orchestration, including tools like AI Foundry and/or Semantic Kernel. Experience with tools for automated testing and evaluation of AI outputs is a plus. Experience in Python and AI frameworks tools such as PyTorch and TensorFlow. Core Skills and Qualifications: 8+ years of professional software engineering experience, including 3+ years working directly on AI/ML systems or platforms. Hands-on experience with Microsoft Azure and associated PaaS services (e.g., Azure Functions, AKS, API Management). Strong expertise in RESTful API design, versioning, testing, and lifecycle management. Proficient in securing APIs, managing authentication/authorization and data privacy practices. Excellent problem-solving skills, with the ability to analyse complex technical challenges and propose scalable solutions. Experience working in Agile teams and collaborating across global R&D locations Demonstrated ability to mentor junior team members fostering a culture of continuous learning and innovation Demonstrated experience with AI frameworks, tools and Python

Hiring for Senior Data Science Experience- 15 Years Position Title - Senior Data Scientist Experience- 15+ years total, 10+ in data and analytics, 6+ in data science Mandatory Skills- Advanced understanding of data modelling, statistical methods and machine learning techniques Advanced understanding of big data, data mining and visualization techniques Experience in unstructured data analysis and natural language processing Experience in any AIOps software Grok, Moogsoft, DataDog etc. Experience in different types of databases – SQL, noSQL, hierarchical databases Experience in data oriented programming languages R, Python etc. Work location- Bangalore Shift – Regular shift IF interested please share your profile on- ekta11.kumari@global.ntt Please share profiles with below details Total exp - Rel Exp NP - C CTC - E CTC - C Location. Preferred candidate profile Role & responsibilities Preferred candidate profile

Role Overview:As a Senior Principal Software Engineer, you will be a key technical leader responsible for shaping the design and development of scalable, reliable, and innovative AI/GenAI solutions. You will lead high priority projects, set technical direction for teams, and ensure alignment with organizational goals. Thisrole demands a high degree of technical expertise, strategic thinking, and the ability to collaborate effectively across diverse teams while mentoring and elevating others to meet a very high technical bar. Key Responsibilities: Strategic Technical Leadership : Define and drive the technical vision and roadmap for AI/GenAI systems, aligning with company objectives and future growth. Provide architectural leadership for complex, large-scale AI systems, ensuring scalability, performance, and maintainability. Act as a thought leader in AI technologies, influencing cross-functional technical decisions and long-term strategies. Advanced AI Product Development: Lead the development of state-of-the-art generative AI solutions, leveraging advanced techniques such as transformer models, diffusion models, and multi-modal architectures. Drive innovation by exploring and integrating emerging AI technologies and best practices. Mentorship & Team Growth: Mentor senior and junior engineers, fostering a culture of continuous learning and technical excellence. Elevate the team’s capabilities through coaching, training, and providing guidance on best practices and complex problem-solving. End-to-End Ownership: Take full ownership of high-impact projects, from ideation and design to implementation, deployment, and monitoring in production. Ensure the successful delivery of projects with a focus on quality, timelines, and alignment with organizational goals. Collaboration & Influence: Collaborate with cross-functional teams, including product managers, data scientists, and engineering leadership, to deliver cohesive and impactful solutions. Act as a trusted advisor to stakeholders, clearly articulating technical decisions and their business impact. Operational Excellence: Champion best practices for software development, CI/CD, and DevOps, ensuring robust and reliable systems. Monitor and improve the health of deployed services, conducting root cause analyses and driving preventive measures for long-term reliability. Innovation & Continuous Improvement: Advocate for and lead the adoption of new tools, frameworks, and methodologies to enhance team productivity and product capabilities. Stay at the forefront of AI/GenAI research, driving thought leadership and contributing to the AI community through publications or speaking engagements. Minimum Qualifications: Educational BackgroundBachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field; Ph.D. is preferred but not required. Experience10+ years of professional software development experience, including 5+ years in AI/ML or GenAI. Proven track record of designing and deploying scalable, production-grade AI solutions. Deep expertise in Python and frameworks such as TensorFlow, PyTorch, FastAPI, and LangChain. Advanced knowledge of AI/ML algorithms, generative models, and LLMs. Proficiency with cloud platforms (e.g., GCP, AWS, Azure) and modern DevOps practices. Strong understanding of distributed systems, microservices architecture, and database systems (SQL/NoSQL). Leadership Skills: Demonstrated ability to lead complex technical initiatives, influence cross functional teams, and mentor engineers at all levels. Problem-Solving Skills: Exceptional analytical and problem-solving skills, with a proven ability to navigate ambiguity and deliver impactful solutions. CollaborationExcellent communication and interpersonal skills, with the ability to engage and inspire both technical and non-technical stakeholders. Preferred Qualifications: AI/ML ExpertiseExperience with multi-modal models, reinforcement learning, and responsible AI principles. Cloud & InfrastructureAdvanced knowledge of GCP technologies such as VertexAI, BigQuery,GKE, and DataFlow. Thought LeadershipContributions to the AI/ML community through publications, open-source projects, or speaking engagements. Agile ExperienceFamiliarity with agile methodologies and working in a DevOps model. Disability Accommodation: UKGCareers@ukg.com.

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are seeking a highly skilled and visionary AI/ML Manager to lead the development of advanced AI-driven applications and solutions using Google Cloud's Conversational AI (CCAI) platform and Gen AI models. In this role, you will architect, design, and deploy scalable AI solutions that leverage deep learning, neural networks, and advanced chatbot/voice bot technologies. You should have strong hands-on experience in building and optimizing conversational experiences using Google Dialogflow CX, Agent Assist, and other Google Cloud AI services. Roles & Responsibilities:- Lead end-to-end solutioning, design, and implementation of AI/ML-powered applications using Google CCAI tools and GCP services.- Architect scalable conversational AI solutions including chatbots and voice bots using Dialogflow CX, Agent Assist, and Gen AI APIs.- Collaborate with cross-functional teams including UX, data science, and engineering to deliver impactful AI products.- Drive innovation by integrating advanced models such as LLMs, NLP, and neural networks to elevate conversational capabilities.- Oversee performance tuning, testing, and optimization of AI solutions in real-world production environments.- Stay current with Google AI/ML advancements and incorporate best practices into the solution lifecycle.- Proven experience in designing and deploying AI/ML and conversational AI systems on Google Cloud Platform.- Expertise in Dialogflow CX, Agent Assist, and other CCAI tools.- Solid understanding of Gen AI technologies, NLP techniques, and machine learning frameworks.- Strong architecture and solution design experience within GCP ecosystem.- Hands-on experience in building and optimizing production-ready chatbots and voice applications.- Excellent problem-solving, communication, and leadership skills.- Experience with programming languages such as Python/Node.js Professional & Technical Skills: Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, Strong understanding of AI/ML algorithms, NLP and techniques. Experience with chatbot, generative AI models, prompt Engineering.Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 15+ years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.- The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.- A 15 year full time education is required Qualification 15 years full time education

Job Responsibilities: Administer and configure BMC Helix Operations Management with AIOps. Monitor and analyze system performance using AI/ML-based tools. Implement predictive service management to proactively address issues. Develop and maintain workflows and automation scripts. Perform root cause analysis and resolve complex IT issues. Integrate BMC Helix with other ITSM tools and platforms. Create and manage dashboards for real-time monitoring and reporting. Collaborate with cross-functional teams to optimize service performance. Document processes and maintain standard operating procedures. Provide technical support and training to users and IT staff. Qualifications: Bachelors degree in information technology, Computer Science, or related field. 10+ years of experience in IT operations management and AIOps. Proficiency in BMC Helix Operations Management and AIOps tools. Strong understanding of AI/ML algorithms and predictive analytics. Excellent problem-solving and analytical skills. Effective communication and teamwork abilities. Relevant certifications (e.g., BMC Certified Professional). Skills: BMC Helix Operations Management AIOps Tools and Techniques AI/ML Algorithms Predictive Analytics Workflow Automation Root Cause Analysis System Performance Monitoring Dashboard Creation Technical Support and Training Documentation Mandatory Skills: BMC Helix Operations Management AIOPS. Experience: 3-5 Years.

Key skills : Agentic AI , ML Frameworks(TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX)

Hello All, Greetings from Peoplefy ! Job Title: MLOps Experience Required: 7 to 12 years, RE -5 years Location: Pune Availability: Immediate Joiners or Candidates Serving Notice Period (Till sept 1week) Key Responsibilities: Cloud -google cloud preferred but cloud any will do ML deployment using Jenkins/Harness Python Kubernetes terraform Interested Candidates please share your profiles on: gayatri.pat@peoplefy.com

Designing, developing, and training machine learning models using various algorithms and techniques. Evaluating the performance of machine learning models using appropriate metrics and techniques. Required Candidate profile Working closely with other engineers, data scientists, and stakeholders to ensure the success of AI/ML projects.

Responsibilities: Collaborate with business stakeholders to understand and refine data-related questions and requirements Utilize advanced analytics to uncover hidden insights in large datasets and provide actionable recommendations. Design and implement data models and algorithms to support data-driven decision making. Investigate internal and external data sources to determine availability, quality, and relevance Identify, collect, and analyze relevant data needed to address specific business challenges Propose solutions to close data gaps. Define data structures, formats, and transformation logic needed to support reporting and analytics. Leverage data science techniques to uncover trends, patterns, and correlations in large datasets. Apply data science techniques to automate data validation processes and enhance data integrity. Conduct thorough quality assurance checks on data to ensure accuracy and reliability. Present findings and insights clearly to business stakeholders. Stay current with emerging trends and technologies in data research, business intelligence, and data science. Skills: 5+ years hands-on work experience in the domain of data science & analytics (work experience in IT, software engineering, data engineering or any other areas is to be treated as extra and optional). Proficient in AI/ML algorithms and implementation experience with Python libraries. (Pandas, Numpy, scikit-learn, TensorFlow, Keras) Data mining & preparation using Python. Proficient in statistical analysis to drive decisions. Build and verify hypothesis based on abstract problem statement. Practical experience with Databricks for writing and deploying code through jobs and pipelines. Proficiency SQL (programming languages) for data science related assignments. Experience on building and deploying pipelines in Microsoft azure. Design and implement Generative AI solutions utilizing LLMs such as GPT, Claude, and LLaMA. Fine-tune and evaluate Large Language Models for industry-specific tasks. Proficiency in Python and libraries such as LangChain, Transformers, OpenAI SDK, or Hugging Face. Deep understanding of LLMs, prompt engineering, and transformer architectures. Educational background in Math / Statistics / Engineering / Science. Strong communication and teamwork abilities, with the ability to convey complex technical concepts to non-technical stakeholders.

Lead AI/ML tech projects using Agile/Scrum. Design, deploy & optimize ML models (NLP, predictive analytics). Drive AI automation & data-driven decisions. Cross-functional leadership.

Job Title: AI Expert / Artificial Intelligence Specialist Location: Bangalore Experience Required: Minimum 3 Years Employment Type: Full-time Industry: IT Services & Consulting / AI & ML Job Summary: We are looking for a highly skilled and motivated AI Expert to join our technology team. The ideal candidate will have hands-on experience in developing, deploying, and scaling AI/ML models and working with large datasets to solve real-world business problems. Key Responsibilities: Design, develop, and deploy AI/ML models for business use cases. Work on NLP, computer vision, and predictive analytics projects. Collaborate with cross-functional teams including Data Engineers, Product Managers, and Software Developers. Implement machine learning algorithms and deep learning frameworks. Analyze large datasets to extract meaningful insights. Optimize model performance and conduct A/B testing. Stay updated with the latest AI trends, tools, and research. Required Skills: Strong understanding of machine learning algorithms, neural networks, and deep learning. Hands-on experience with Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc. Experience with NLP, computer vision, or recommendation systems is a plus. Solid knowledge of data structures, algorithms, and statistics. Familiarity with cloud platforms like AWS, Azure, or GCP. Experience with AI model deployment and MLOps tools is a plus. Educational Qualification: Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field. - 4 Month Probation Period

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML technical lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities:- Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist.- Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services- Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya- Integrate with IVR systems and Proficiency in webhook setup and API integration.- Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.- Creation of agents in Agent builder and integrating them into end end to pipeline using python.- Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.- Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities- Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.- Document technical designs, processes, and setup for various integrations.- Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms and techniques.- Experience with chatbot , generative AI models, prompt Engineering- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 5 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.- The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.- A 15-year full time education is required Qualification 15 years full time education

Talent & Organization – Organizational Analytics Consultant Looking for a rewarding career with global impact? Then consider Accenture's rapidly expanding Capability Network with approximately 3,000 Management Consulting and Strategy professionals (we like to call them rock stars!) based in a network of prominent locations around the world. Capability Network Professionals". Thrive in a fast-paced, inclusive environment with countless opportunities to learn and grow Collaborate with diverse organizations on groundbreaking projects Enjoy the camaraderie of working together towards a common goal and forming lasting friendships If this sounds like the right team for you, we invite you to read on - and visit www.accenture.com/capabilitynetwork . YOUR ROLE Although no two days at Accenture are the same, as an Organizational Analytics (OA) Consultant in our Talent & Organization (T&O) practice, a typical day might include: Comfortable with developing and deploying data-driven solutions to People transformation efforts for Accenture's Global and Local clients Engage with clients to understand their challenges, requirements and concerns to determine the best OA solution Identify, analyze, and interpret trends or patterns in complex data sets to develop business solutions Define data-backed people strategies to support business transformational programs Co-create solutions and assist clients in developing action plans Build strong relationships with clients and foster business growth Contribute to T&O practice-building efforts Qualifications BASIC QUALIFICATIONS MBA/Master’s degree REQUIRED EXPERIENCE/ SKILLS 5 to 6 years of experience in people analytics and people management-related programs (workforce transformation, workforce M&A strategy, culture transformations, I&D strategy etc.) Working knowledge on interpreting Natural Language Processing (NLP) based ML model results Good to have NLP project exposure on any domain. Knowing to run python-based ML algorithms is an added advantage. Data fluency and working knowledge of statistical methodologies. Understanding of generative AI techniques such as variational autoencoders (VAEs), generative adversarial networks (GANs), and autoregressive models. Data interpretation with working knowledge of analytic models and digital tools Fluency in English is required, additional language capabilities are highly advantageous Ability to perform in a non-structured and dynamic environment LOCATION REQUIREMNTS Gurugram, Mumbai, Bengaluru YOUR WINNING QUALITIES: Natural leader; easily establishes relationships with clients and colleagues Team Player; enjoys the intellectual stimulation of collaborating with colleagues around the world Determined; appreciates a challenge and overcoming obstacles to achieve results Digitally savvy; continuous learner OUR COMMITMENT TO YOU – You will enjoy: A transparent career path designed for rapid career progression A supportive culture that is serious about training, coaching and continuous learning A global network where only state-of-the-art tools and technologies will do A bighearted environment with opportunities to give back to our local communities Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Educational Requirements Bachelor of Engineering Service Line AI & Automation Service Line Responsibilities Technical skills ProgrammingPython, R, SQL ML algorithms Statistical ML algorithms Deep Neural Network architectures Model ensembling Generative AI models ML for Responsible AI AI domains - NLP, speech, computer vision, structured data Learning patterns – supervised, unsupervised, reinforcement learning Tools for data analysis, auto ML, model deployment & scaling, model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets, pre-built models available in open community and 3rd party providers Knowledge of software development & architectures Knowledge of hyperscalers & their AI capabilities – Azure, AWS, GCP Knowledge of Model Quantization and Pruning Past experience playing a Data Scientist role Technical and Professional Requirements: Technical skills ProgrammingPython, R, SQL ML algorithms Statistical ML algorithms Deep Neural Network architectures Model ensembling Generative AI models ML for Responsible AI AI domains - NLP, speech, computer vision, structured data Learning patterns – supervised, unsupervised, reinforcement learning Tools for data analysis, auto ML, model deployment & scaling, model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets, pre-built models available in open community and 3rd party providers Knowledge of software development & architectures Knowledge of hyperscalers & their AI capabilities – Azure, AWS, GCP Knowledge of Model Quantization and Pruning Past experience playing a Data Scientist role Preferred Skills: Technology-Machine learning-data science Technology-Machine Learning-Python Technology-Machine Learning-Generative AI

Educational Requirements Bachelor of Engineering Service Line AI & Automation Service Line Responsibilities Technical skills ProgrammingPython, R, SQL ML algorithms Statistical ML algorithms Deep Neural Network architectures Model ensembling Generative AI models ML for Responsible AI AI domains - NLP, speech, computer vision, structured data Learning patterns – supervised, unsupervised, reinforcement learning Tools for data analysis, auto ML, model deployment & scaling, model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets, pre-built models available in open community and 3rd party providers Knowledge of software development & architectures Knowledge of hyperscalers & their AI capabilities – Azure, AWS, GCP Knowledge of Model Quantization and Pruning Past experience playing a Data Scientist role Technical and Professional Requirements: Technical skills ProgrammingPython, R, SQL ML algorithms Statistical ML algorithms Deep Neural Network architectures Model ensembling Generative AI models ML for Responsible AI AI domains - NLP, speech, computer vision, structured data Learning patterns – supervised, unsupervised, reinforcement learning Tools for data analysis, auto ML, model deployment & scaling, model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets, pre-built models available in open community and 3rd party providers Knowledge of software development & architectures Knowledge of hyperscalers & their AI capabilities – Azure, AWS, GCP Knowledge of Model Quantization and Pruning Past experience playing a Data Scientist role Preferred Skills: Technology-Machine learning-data science Technology-Machine Learning-Python Technology-Machine Learning-Generative AI

Experience : 6 to 10 Years Locations : Noida, Pune, Banaglore, Mumbai, urugram and Kochi Work Mode : Hybrid Requirement : Immediate Job Description: Have hands on experience on real time ML Models / Projects Coding in Python Language, Machine Learning, Basic SQL, Git, MS Excel Experience in using IDE like Jupyter Notebook, Spyder, PyCharm Hands on with AWS Services like S3 bucket, EC2, Sagemaker, Step Functions. Engage with clients/consultants to understand requirements Taking ownership of delivering ML models with high precision outcomes. Accountable for high quality and timely completion of specified work deliverables Write codes that are well detailed structured and compute efficient

Design and maintain Python apps, deploy on AWS/Azure/GCP, implement CI/CD with Jenkins, Git, Docker. Apply ML/LLM (OpenAI, Hugging Face). Follow Agile, write clean code, test, debug. 5+ yrs exp, strong Python, cloud, ML, and DevOps skills required. Required Candidate profile Experienced Python developer with 5+ yrs in building scalable apps, cloud deployment (AWS/Azure/GCP), DevOps (Jenkins, Git, Docker), ML/LLM integration, and Agile SDLC. Strong in debugging, CI/CD

We are Looking for Immediate Joiners Who can Join us with in 15 Days About Us: DataBeat.io is a data and analytics services company that provides big data, analytics, and operations management services to various companies globally. Working at DataBeat.io helps you to be at the forefront of the big data and analytics ecosystem. You will work with clients who are leading companies that develop breakthrough solutions, concepts that are shaping the technology world, and cutting-edge tools. Fast-growing company where your performance and contribution could move you into leadership positions fairly quickly. Now we're a part of Media mint https://mediamint.com/ Key Roles and Responsibilities: AI/LLM Projects: Assist in developing applications using latest LLMs (ChatGPT, Claude, Gemini), Gen AI. Support campaign optimization using statistical and machine learning models Analyze advertising performance metrics and trends Contribute to predictive modelling for ad performance Help develop automated optimization algorithms Key Responsibilities: Analyze large datasets (>100mn's rows) to extract actionable insights Develop and maintain ML models for campaign optimization Assist in creating and maintaining data pipelines Build and improve dashboard visualizations Support A/B testing and performance analysis Collaborate with cross-functional teams Document technical processes and findings Required Qualifications: Bachelor's degree in Computer Science, Data Science, Mathematics, or related field 2-4 years of experience in data science or related field Strong Python programming skills (Pandas, NumPy, Scikit-learn) Understanding of statistical analysis and machine learning concepts Experience with data visualization tools (Looker, Tableau, or similar) Basic SQL knowledge Strong analytical and problem-solving skills Nice to Have: Experience with LLM frameworks and prompt engineering Knowledge of programmatic advertising Familiarity with cloud platforms (GCP) Understanding of digital advertising metrics and KPIs: Technical understanding of the programmatic advertising ecosystem from Ad Servers, DSPs, SSPs, Ad Verification vendors and agencies is a big plus, but not essential Version control experience (Git) Familiarity with tree-based methods and gradient boosting techniques. Technical Skills: Programming: Python, SQL ML Libraries: Scikit-learn or equivalent, PyTorch Data Analysis: Pandas, NumPy Visualization: Matplotlib or equivalent, Seaborn or equivalent BI Tools: Looker LLM Tools: Lang Chain or equivalent Personal Qualities: Strong curiosity and eagerness to learn Good communication skills Ability to work in a fast-paced environment Detail-oriented and organised Team player with collaborative mindset Self-motivated and proactive We are looking for someone who is passionate about both AI technologies and data-driven advertising optimization, with the ability to balance multiple projects and learn quickly.

Practice Overview Practice: Data and Analytics (DNA) - Analytics Consulting The Role and Responsibilities We have open positions ranging from Data Scientist to Director, providing talented and motivated professionals with excellent career and growth opportunities. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. Youll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries. In the data scientist track, you will be primarily responsible for managing and delivering analytics projects and helping teams design analytics solutions and models that consistently drive scalable high-quality solutions. Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with global clients to understand their business challenges Exploring large-scale data and crafting models to answer core business problems Working with partners and principals to shape proposals that showcase our data science and analytics capabilities Explaining, refining, and crafting model insights and architecture to guide stakeholders through the journey of model building Advocating best practices in modelling and code hygiene Leading the development of proprietary statistical techniques, ML algorithms, assets, and analytical tools on varied projects Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art modelling and data science techniques in your domain Your Attributes, Experience & Qualifications Bachelor's or Masters degree in a quantitative discipline from a top academic program (Data Science, Mathematics, Statistics, Computer Science, Informatics, and Engineering) Prior experience in data science, machine learning, and analytics Passion for problem-solving through big-data and analytics Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with the ability to manage workload and meet deadlines in a fast-paced environment Impactful presentation skills that succinctly and efficiently convey findings, results, strategic insights, and implications Excellent verbal and written communication skills and complete command of English Willingness to travel Collaborative team player Respect for confidentiality Technical Background Proficiency in modern programming languages (Python is mandatory; SQL, R, SAS desired) and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Prior experience in designing and deploying large-scale technical solutions leveraging analytics Solid foundational knowledge of the mathematical and statistical principles of data science Familiarity with cloud storage, handling big data, and computational frameworks Valued but not required: Compelling side projects or contributions to the Open-Source community Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence.

Designation- Instructor- Data Science/Machine Learning Location- Bangalore Salary Range- 8LPA- 10LPA 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 worke.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 Masters 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.

Role & responsibilities As a Senior Data scientist in our data science department, youll have the chance to: • Be accountable for end-to-end project delivery. Able to independently own and pitch/execute new analytics capabilities. Have a continuous communication with Solutions Engineering, Sales Engineering on accounts, deliverable timelines and progress of tasks. • Seek opportunities for understanding clients challenges and actively pitching custom or existing data science capabilities having business impact • Ability to provide recommendations and actionable outcomes from the outputs generated and create a narrative to be shared with the market. Should be able to visualize the outputs easily understood by stakeholders and stitch a story linking to other media aspects being presented • Drive growth of generalised capabilities over MiQ’s or open-source data sources. Able to identify, infer and evaluate capabilities to enhance current solutions or create new ones • Scale strategic accounts by improving over existing solutions or able to build over existing capabilities • Drive new initiatives for operational excellence within the team within data science, coding, product and tech • Working with local leads to align to respective regional strategies. Identify opportunities and provide updates on teams capabilities and support on account where needed • Able to generalize capabilities and workflows increasing team’s efficiency • Initiatives to research and come up with new ideas to experiment and leading up to new capabilities creating business impact • Research new developments across data science and educate team members by trying new POCs • Should be able to mentor and guide new hires or interns • Active participation in recruitment, designing and managing assignments and interviews • Committed to delivers the best towards organization's goals and values • Provide constructive feedback to counterparts and work on received feedback • Drive brainstorming sessions/ Hackathons/sharing best cases within the team or externally Preferred candidate profile • Experienced coder in Python/R • Strong understanding of ML algos and applications • Experienced in SQL and good hands on Excel • Experience working in cloud environments preferably AWS. Ability to write and productionize data pipelines and ML models in a cloud based environment • Experience with working at scale using (Pyspark/Rspark) • Strong hands on experience of applying ML techniques to business problems. Should have a good understanding of statistics. • Good measurement mind frame for measuring impact of ML models • 4+ years of experience in applying machine learning, statistical pattern recognition, and data mining algorithms to prediction problems • Maintaining code versions and experience working in an agile mode • A can-do attitude, with a dream to grow alongside us. We’ve highlighted some key skills, experience and requirements for this role. But please don’t worry if you don’t meet every single one. Our talent team strives to find the best people. They might see something in your background that’s a fit for this role, or another opportunity at MiQ.