254 Ml Algorithms Jobs - Page 2

Role Summary: We are looking for a dynamic and technically adept Pre-Sales Consultant AI/ML Services who will act as a bridge between the sales and delivery teams. You will be responsible for understanding client requirements, crafting AI/ML-driven solutions, and presenting them in a compelling manner to prospective customers. Key Responsibilities: Partner with sales teams to understand customer requirements and provide tailored AI/ML solution proposals. Conduct detailed discovery sessions to identify business problems that can be solved with AI/ML technologies. Prepare and deliver compelling product/service presentations, demos, and proof-of-concept engagements. Respond to RFPs, RFIs, and technical queries from clients with customized solution documentation. Collaborate with technical teams to design high-level architecture, use case frameworks, and success metrics. Stay updated with AI/ML trends, technologies, and competitive landscape. Build and maintain relationships with key technical stakeholders on the client side. Participate in strategy meetings to refine offerings and go-to-market approaches. Required Skills & Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. 4+ years of experience in a Pre-Sales, Solutions Consulting, or Technical Sales role in AI/ML or advanced analytics domain. Solid understanding of AI/ML concepts, data pipelines, model development, and deployment lifecycle. Ability to translate business problems into technical solutions using ML algorithms, NLP, Computer Vision, etc. Strong communication and presentation skills to engage with both technical and non-technical stakeholders. Familiarity with cloud platforms (AWS, Azure, GCP) and modern ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Experience with enterprise clients in industries like BFSI, Retail, Healthcare, or Manufacturing is a plus. Preferred Qualifications: Certifications in AI/ML or cloud platforms (e.g., AWS Certified Machine Learning, Azure AI Engineer). Experience with pre-sales tools like CRM systems, proposal builders, and demo environments. What We Offer: Opportunity to work on high-impact AI/ML projects with global clients. Dynamic work environment with a focus on innovation and continuous learning. Competitive salary and incentive structure. A collaborative culture that values transparency, ownership, and agility. Show more Show less

Greetings from Ubique Systems! We are currently looking to hire an AI/ML Developer with a focus on OCR (Optical Character Recognition). We prefer candidates who can join immediately or within 30 days. This is a remote position requiring a minimum of 5 years of relevant experience in the field of AI/ML. As an AI/ML Developer at Team Computers, you will be responsible for building, deploying, and enhancing AI/ML models with a special emphasis on OCR. You will work on AI applications within a challenging supply chain environment. Your key responsibilities will include taking end-to-end ownership of AI/ML model development, translating real business challenges into AI solutions, leading OCR-based projects, and utilizing tools such as TensorFlow, Keras, PyTorch, GluonTS, and Darts. Collaboration with Data Engineers and integration of solutions with Azure Cloud will also be part of your role. The ideal candidate should possess strong Python skills, a deep understanding of ML algorithms, NLP, and Deep Learning, along with knowledge of OCR, neural networks, and model deployment. Hands-on experience with AI frameworks like TensorFlow, Keras, and PyTorch is essential. Exposure to Azure, SQL/Mongo/ElasticSearch, good communication skills, and the ability to articulate project experiences in detail are also required. Candidates with experience in Supply Chain or Transportation, as well as exposure to C#/.NET, will be given preference. The interview process will be conducted on a rolling basis, and early applications are encouraged. If you are an immediate joiner with a passion for AI/ML and OCR, please feel free to DM us or share your updated resume at [nikita.bhattacharya@ubique-systems.com]. Join us and be part of our exciting AI/ML journey! #Hiring #AIML #MachineLearning #OCR #Python #ImmediateJoiner #RemoteJob,

We are looking for a highly skilled MLOps Engineer to design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP). Your responsibilities will include automating ML workflows, optimizing model deployment, ensuring model reliability, and implementing CI/CD pipelines for ML systems. You will collaborate with technical teams to develop cutting-edge machine learning systems that drive business value. In this role, you will manage the deployment and maintenance of machine learning models in production environments, ensuring seamless integration with existing systems. You will monitor model performance using metrics such as accuracy, precision, recall, and F1 score, addressing issues like performance degradation, drift, or bias. Troubleshooting problems, maintaining documentation, and managing model versions for audit and rollback will be part of your routine tasks. Your duties will also involve analyzing monitoring data proactively to identify potential issues and providing regular performance reports to stakeholders. Additionally, you will focus on optimizing queries and pipelines, as well as modernizing applications when necessary. To qualify for this role, you should have expertise in programming languages like Python and SQL, along with a solid understanding of best MLOps practices for deploying enterprise-level ML systems. Familiarity with Machine Learning concepts, models, and algorithms, such as regression, clustering, and neural networks, including deep learning and transformers, is essential. Experience with GCP tools like BigQueryML, Vertex AI Pipelines, Model Versioning & Registry, Cloud Monitoring, and Kubernetes is preferred. Strong communication skills, both written and oral, are crucial, as you will be required to prepare detailed technical documentation for new and existing applications. You should demonstrate strong ownership and collaborative qualities in your domain, taking the initiative to identify and drive opportunities for improvement and process streamlining. A Bachelor's Degree in a quantitative field or equivalent job experience is required for this position. Experience in Azure MLOPS, familiarity with Cloud Billing, setting up or supporting NLP, Gen AI, LLM applications with MLOps features, and working in an Agile environment are considered bonus qualifications. If you are passionate about MLOps, have a knack for problem-solving, and enjoy working in a collaborative environment to deliver innovative machine learning solutions, we would like to hear from you.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. We are looking to hire individuals with strong AI Enabled Automation skills who are interested in applying AI in the process automation space using technologies such as Azure, AI, ML, Deep Learning, NLP, GenAI, large Lang Models (LLM), RAG, Vector DB, Graph DB, and Python. Responsibilities: - Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. - Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals to demonstrate the potential of AI enabled automation applications. - Ensure seamless integration of optimized solutions into the overall product or system. - Collaborate with cross-functional teams to understand requirements, integrate solutions into cloud environments (Azure, GCP, AWS, etc.), and ensure alignment with business goals and user needs. - Educate the team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project. Technical Skills Requirements: - 9 to 13 years of relevant professional experience. - Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face Transformers. - Strong foundation in ML algorithms, feature engineering, and model evaluation (Must). - Strong foundation in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP (Must). - Experience in GenAI technologies such as LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. - Experience with LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI (Agentic Framework). - Knowledge of retrieval augmented generation (RAG) and Knowledge Graph RAG. - Experience with multi-agent orchestration, memory, and tool integrations. - Experience/implement MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning, and reproducibility) Good to have. - Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment. - Good understanding of data pipelines, APIs, and distributed systems. - Build observability into AI systems latency, drift, performance metrics. - Strong written and verbal communication, presentation, client service, and technical writing skills in English for both technical and business audiences. - Strong analytical, problem-solving, and critical thinking skills. - Ability to work under tight timelines for multiple project deliveries. What we offer: At EY GDS, we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. While we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can. You enjoy the flexibility to devote time to what matters to you, in your business and personal lives. At EY, you can be who you are and express your point of view, energy, and enthusiasm, wherever you are in the world. It's how you make a difference. EY | Building a better working world: EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

The role involves leading and developing backend architecture, system design, and integration planning for new and existing features. You will collaborate to translate business/product requirements into scalable technical solutions and drive backend and frontend development. As a hands-on developer, you will update the mobile interface, manage the PostgreSQL database schema, and optimize operations. Additionally, you will guide technical decision-making, provide mentorship to developers, evaluate third-party APIs/tools for integration, and deploy AI/ML models using modern frameworks. Understanding AWS cloud is essential. The ideal candidate should have skills in full-stack development, Node.js, React.js, building scalable systems using REST APIs, microservices, and cloud platforms like AWS. A strong background in databases such as PostgreSQL, system design, software lifecycle, and agile methodologies is required. Proficiency in ML algorithms and experience in fintech or financial products is a major plus. The candidate should have experience as a full stack engineer or solution architect. The salary offered will be as per market standards.,

reetings from the HCL TECH! HCL is hiring for Gen AI Engineer now For Banglore/Hyderabad/Chennai/Noida/Pune Location. If you are interested for the below given JD. Kindly share your updated CV & Following details on [HIDDEN TEXT] Details : Total Exp.: Relevant Exp in Gen AI: Exp in LLM - Exp Cloud - Exp in Generative AI Solution Exp In AIML - Notice Period : Current Company : Current CTC : Expected CTC: Current Location Preferred Location : Contact Details Qualifications Bachelors degree or above in Computer Science, Software Engineering or similar disciplines Ability to learn new domains quickly Adept at critical thinking and logical reasoning for problem-solving Be good at teamwork and delivering under pressure Generative AI oriented Experience with atleast one cloud technologies: Azure, AWS, GCP Understanding of good design principles and patterns Solid appreciation of AI/ML concepts Extremely dynamic and enthusiastic about technology Development experience with one or more of these technologies: C++, Java, JavaScript, HTML, C#, Python, node.js Be able to adapt quickly to new challenges and an evolving technology stack Excellent written and verbal communication skills. Fluent English is essential Strong analytical and problem-solving skills. Demonstrating a customer-focused attitude; Excellent communication skills (listening, presenting, writing, formal and informal) Self-motivated, self-driven, curious, open-minded, resourceful, and flexible with the ability to learn quickly. Hands-on of Python, ML Algorithms and Statistics Knowledge of source code maintenance and versioning tools. Strong in Object Oriented Programming Concepts. Good in debugging and analytical skills. Work Experience Experience in software development: 5+ years Experience in Generative AI solution development: 1+ year Show more Show less

As a Research Scientist at Adobe, you will have the opportunity to engage in cutting-edge research within the Media and Data Science Research Laboratory. Your role will involve designing, implementing, and optimizing machine learning algorithms to address real-world problems related to understanding user behavior and enhancing marketing performance. You will also be responsible for developing scalable data generation techniques, analyzing complex data from various sources, and running experiments to study data quality. Collaboration will be a key aspect of your role, as you will work closely with product, design, and engineering teams to prototype and transition research concepts into production. Your expertise in areas such as Large Language Models, Computer Vision, Natural Language Processing, and Recommendation Systems will be crucial in driving innovative solutions that redefine how businesses operate. To thrive in this role, you should have a proven track record of empirical research, experience deploying solutions in production environments, and the ability to derive actionable insights from large datasets. A degree in Computer Science, Statistics, Economics, or a related field is required, along with a knack for taking research risks and solving complex problems independently. At Adobe, we prioritize diversity, respect, and equal opportunity, recognizing that valuable insights can come from any team member. If you are a motivated and versatile individual with a passion for transforming digital experiences, we encourage you to join our ambitious team and contribute to the future of technology innovation.,

As a valued member of SitusAMC, you will be part of a team dedicated to transforming our clients" businesses and fostering personal career development. Whether you are an experienced real estate professional, a technology enthusiast, or just starting your career journey, we invite you to join us in unlocking opportunities for all those we serve. We are committed to matching your unique skills and experiences with our exciting career opportunities, enabling you to achieve your full potential within the Real Estate Industry. If you are someone who values authenticity, advocates for others, embraces agility, dares to dream big, takes ownership of outcomes, and balances global vision with local impact, then we welcome you to be a part of our team! Your responsibilities will include: - Developing and implementing an organizational data strategy aligned with business processes, encompassing data model designs, database development standards, cloud/data warehouse management, and data analytics platforms. - Identifying internal and external data sources and devising a data management plan in line with the organizational data strategy. - Collaborating with cross-functional teams, stakeholders, and vendors to ensure the smooth operation of the Analytics data platform. - Managing the end-to-end data architecture, from platform selection to application development, testing, and implementation. - Planning and executing big data solutions utilizing cloud/on-premise technologies. - Defining data flow and information dissemination within the organization, ensuring data accessibility, accuracy, and security. - Overseeing Data governance and integrating technical functionality to maintain system performance and report any issues promptly. - Performing continuous audits of the data management system's performance and refining processes as needed. Qualifications/ Requirements: - Bachelor's degree or equivalent combination of education and experience. - Minimum of 8+ years of industry experience, with at least 2+ years in an AVP level role or equivalent. - Proficiency in systems development life cycle, project management, data modeling, data engineering, and database administration. - Familiarity with Analytics platform production, BI dashboards, ML algorithms, APIs, and data management/reporting technologies. - Ability to work with columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics. The annual full-time base salary range for this role will be determined based on interviews, education, experience, skills, geographic location, and market data. Certain positions may also be eligible for discretionary bonuses based on program guidelines and senior management approval. SitusAMC provides a comprehensive and competitive benefits plan to support the well-being of our employees.,

Enable data-driven decision making across the Tesco business globally by developing analytics solutions using a combination of math, tech, and business knowledge. You will be responsible for identifying operational improvements and finding solutions by applying CI tools and techniques, completing tasks and transactions within agreed KPI's, engaging with business & functional partners to understand business priorities, and scoping analytical solutions. You should have an in-depth understanding of techniques to prepare analytical datasets leveraging multiple complex data sources, building statistical models and ML algorithms, writing structured algorithms using Continuous Improvement principles, and building a visualization layer to empower end-users to make decisions. Additionally, you will collaborate with the line manager to ensure application/consumption and identify opportunities to address bigger business questions. To qualify for this role, you should have 1-2 years of experience in data science application in Retail or CPG, with preferred functional experience in Marketing, Supply Chain, Customer, Merchandising, Operations, Finance, or Digital. Tesco offers a rewarding package for its colleagues, including performance bonuses, leave entitlements, retirement benefits, health and wellness programs, mental health support, financial coaching, employee share ownership programs, and physical wellbeing initiatives. The company is committed to providing a supportive and inclusive work environment for its employees. Tesco in Bengaluru is a multi-disciplinary team focused on serving customers, communities, and the planet. The team aims to create a sustainable competitive advantage for Tesco by standardizing processes, delivering cost savings, enabling agility through technological solutions, and empowering colleagues to do more for customers. With a wide network of teams and strong governance, Tesco in Bengaluru offers high-quality services to customers worldwide. Established in 2017, Tesco Business Solutions (TBS) is a purpose-driven organization committed to driving scale and delivering value to the Tesco Group through decision science. With over 4,400 highly skilled colleagues globally, TBS supports markets and business units across various locations. The organization focuses on innovation, agility, and creating impactful outcomes to shape the future of the business, becoming the partner of choice for talent, transformation, and value creation in the Tesco Group.,

Position Overview Here at ShyftLabs, we are searching for an experienced Data Scientist who can derive performance improvement and cost efficiency in our product through a deep understanding of the ML and infra system, and provide a data driven insight and scientific solution ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation, Job Responsibilities: Research, design, and develop innovative generative AI models and applications Collaborate with cross-functional teams to identify opportunities for AI-driven solutions Train and fine-tune AI models on large datasets to achieve optimal performance Optimize AI models for deployment in production environments Stay up-to-date with the latest advancements in AI and machine learning Collaborate with data scientists and engineers to ensure data quality and accessibility Design, implement, and optimize machine learning algorithms for tasks like classification, prediction, and clustering Develop and maintain robust AI infrastructure Document technical designs, decisions, and processes, and communicate progress and results to stakeholders Work with cross-functional teams to integrate AI/ML models into production-level applications Basic Qualifications: Master's degree in a quantitative discipline or equivalent 5+ years minimum professional experience Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets, and using statistics to arrive at a recommendation Excellent verbal and written communication skills, with the ability to present information and analysis results effectively Ability to build positive relationships within ShyftLabs and with our stakeholders, and work effectively with cross-functional partners in a global company Statistics : must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models Machine Learning : must have a deep understanding of ML algorithms (i-e , deep learning, random forest, gradient boosted trees, k-means clustering, etc) and their development, validation, and evaluation Programming : experience with Python or other scripting languages and database language ( e-g , SQL) or data manipulation ( e-g , Pandas) We are proud to offer a competitive salary alongside a strong insurance package We pride ourselves on the growth of our employees, offering extensive learning and development resources, Show

The Machine Learning Architect role is a crucial position within our team where you will be responsible for studying and transforming data science prototypes, designing machine learning systems, and implementing cutting-edge artificial intelligence products. Your role will involve researching and implementing suitable ML algorithms, developing machine learning applications based on project requirements, and selecting appropriate datasets and data representation methods. Additionally, you will be conducting machine learning tests and experiments, performing statistical analysis, and fine-tuning systems based on test results. As a Machine Learning Architect, you will also be expected to train and retrain systems as needed, extend existing ML libraries and frameworks, and stay updated with the latest developments in the field. The ideal candidate for this position should have proven experience as a Machine Learning Architect or in a similar role, possess a strong understanding of data structures, data modeling, and software architecture, and demonstrate deep knowledge of math, probability, statistics, and algorithms. Candidates should have the ability to write robust code in Python, Java, and R, be familiar with machine learning frameworks such as Keras or PyTorch, and libraries like scikit-learn. Excellent communication skills, the capability to work effectively in a team, outstanding analytical and problem-solving abilities are essential for this role. A Bachelor's degree in Computer Science, Mathematics, or a related field is required, while a Master's degree would be considered a plus. If you are passionate about machine learning, possess the necessary skills and qualifications, and are looking to work on exciting AI projects, we encourage you to apply for the Machine Learning Architect position with us.,

As the leader of the AI Center of Excellence (CoE) at RMSI, you will play a crucial role in fostering innovation and excellence in AI-based solutions. Your responsibilities will include defining and executing the AI strategy in alignment with RMSI's business goals, leading the development and deployment of AI/ML models and solutions, collaborating with cross-functional teams to integrate AI into existing solutions, and ensuring the scalability, performance, and business impact of AI solutions. You will be expected to drive research and experimentation in machine learning, deep learning, computer vision, and predictive analytics, establish best practices and governance frameworks for AI development and deployment, collaborate with business leaders to understand their needs and translate them into AI solutions, and present progress, insights, and recommendations to senior leadership and external stakeholders. Furthermore, you will be responsible for building and mentoring a high-performing team of data scientists, ML engineers, and domain experts, fostering a culture of innovation, collaboration, and continuous learning within the organization. To be successful in this role, you should hold a B.Tech/M.Tech degree in Computer Science, Engineering, or a related field, with at least 15 years of overall experience, including a minimum of 6 years in AI/ML or data science roles. You should have proven experience in leading AI initiatives or Centers of Excellence in a corporate environment, strong programming and ML toolkit knowledge (such as Python and TensorFlow), and expertise in ML algorithms and OCR/NLP tools. Experience with cloud AI platforms (such as AWS, Azure, GCP) and modern ML frameworks (like TensorFlow and PyTorch) will be beneficial. Additionally, excellent leadership, communication, and stakeholder management skills, as well as experience in client engagement and cross-functional collaboration, are desired qualities for this role at RMSI.,

As an AI & ML Instructor at ADaSci, you will be responsible for delivering comprehensive corporate training sessions to experienced professionals. Your deep expertise in artificial intelligence (AI), machine learning (ML), cloud platforms (Azure, AWS, GCP), data engineering, and MLOps will enable you to design engaging and informative training sessions that empower professionals to excel in their field. Your key responsibilities will include developing and delivering training sessions on AI, ML, and related topics, designing hands-on labs and practical exercises to enhance learning, customizing training materials to meet the specific needs of corporate clients, providing real-world examples and case studies to illustrate concepts, evaluating participants" progress, and staying updated on the latest trends in AI, ML, cloud computing, data engineering, and MLOps. To excel in this role, you should possess a graduate degree with 10+ years of experience, postgraduate degree with 5+ years of experience, or a PhD with 2+ years of experience. You should have proven experience as an instructor or trainer in AI, ML, data engineering, or related fields, deep knowledge of AI and ML algorithms, proficiency in cloud platforms, experience with MLOps, strong understanding of data engineering principles, and familiarity with system design and architecture. Preferred skills include hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), knowledge of containerization technologies like Docker, experience with big data technologies (e.g., Hadoop, Spark), and previous experience in corporate training or educational settings. Strong communication, presentation, problem-solving skills, and the ability to adapt training content for diverse audiences are essential for success in this role.,

Job Description: We are seeking a talented and experienced Data Scientist to join our dynamic team. The ideal candidate will have a strong background in data analysis, machine learning, statistical modeling, and artificial intelligence. Experience with Natural Language Processing (NLP) is desirable. Experience delivering products that incorporate AI/ML, familiarity with Cloud Services such as AWS highly desirable. Key Responsibilities: Clean, prepare, and explore data to find trends and patterns Build, validate, and implement AI/ML models Extensively document all aspects of the work including data analysis, model development, results Collaborate with other team members teams to incorporate AI/ML models into software applications Stay updated with the laviptest advancements in AI/ML domain and incorporate into day-to-day work Required Skills/Qualifications: 3-5 years of experience in AI/ML related work Extensive experience in Python Familiarity with Statistical models such as Linear/Logistic regression, Bayesian Models, Classification/Clustering models, Time Series analysis Experience with deep learning models such as CNNs, RNNs, LSTM, Transformers Experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit- learn, Keras Experience with GenAI, LLMs, RAG architecture would be a plus Familiarity with cloud services such as AWS, Azure Familiarity with version control systems (e.g., Git), JIRA, Confluence Familiarity with MLOPs concepts, AI/ML pipeline tooling such as Kedro Knowledge of CI/CD pipelines and DevOps practices Experience delivering customer facing AI Solutions delivered as SaaS would be a plus Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Strong problem-solving skills and attention to detail Excellent verbal and written communication and teamwork skills Benefits: Competitive salary and benefits package Opportunity to work on cutting-edge technologies and innovative projects Collaborative and inclusive work environment Professional development and growth opportunities 8341137995-kavya.p

Responsibilities: Lead and manage end-to-end data science projects, including project planning, scoping, budgeting, resource allocation, and timeline management. Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to define project requirements, deliverables, and milestones. Conduct project kick-off meetings, define project objectives, and establish clear project scopes and deliverables. Develop and maintain project plans, track progress, and provide regular updates to stakeholders, ensuring project milestones are met within the defined timeline. Identify and manage project risks, issues, and dependencies, implementing mitigation strategies and contingency plans as necessary. Coordinate and communicate project activities, ensuring alignment with organizational goals and objectives. Monitor project budget, resource utilization, and expenses, making necessary adjustments to optimize project performance and efficiency. Foster a collaborative and innovative work environment, promoting knowledge sharing and best practices within the data science team. Stay updated with industry trends, emerging technologies, and advancements in data science methodologies, and propose relevant process improvements or tool adoption. Provide leadership and mentorship to the data science team, facilitating their professional growth and development. Requirements: Bachelor's degree in computer science, Data Science, Statistics, or a related field. A master's degree is preferred. Proven experience (5+ years) in managing data science projects, preferably in a fast-paced and dynamic environment. Strong understanding of data science concepts, machine learning algorithms, and statistical modeling techniques. Proficient in project management methodologies, tools, and techniques. Excellent organizational and time management skills, with the ability to prioritize tasks and meet deadlines. Exceptional problem-solving and analytical abilities, with keen attention to detail. Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and present complex concepts to non-technical stakeholders. Strong leadership skills, with the ability to motivate and inspire team members. Experience with data visualization tools, programming languages (e. g., Python, R), and big data technologies is a plus. Whatspp - 9886683329

Senior AI/ML Engineer Location: Chennai, Bangalore, Noida and Pune Required Qualifications 5+ years of professional experience in AI/ML development Strong programming skills in Python and related ML frameworks Proven track record of delivering GenAI systems to production Effective communication with client Technical Skills & Experience Proficiency in Python, TensorFlow, PyTorch, Hugging Face, LangChain. Experience with APIs development and integration using Flask, FastAPI, or similar frameworks. Familiarity with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for AI applications. Experience with SQL & NoSQL databases (PostgreSQL, MongoDB, etc.). Strong knowledge of Cloud services (AWS, Azure, GCP) for AI deployment. Understanding of MLOps and CI/CD pipelines for model lifecycle management. Machine Learning & Deep Learning Strong foundation in traditional ML algorithms and statistical modeling Experience with neural network architectures and deep learning frameworks (PyTorch/TensorFlow) Practical knowledge of model optimization, hyperparameter tuning, and performance metrics Expertise in data preprocessing, feature engineering, and model validation techniques Large Language Models (LLMs) Experience working with transformer-based architectures Hands-on experience with LLM deployment and fine-tuning Understanding of prompt engineering and LLM evaluation metrics Knowledge of RAG (Retrieval-Augmented Generation) systems and vector databases AI Agents & Automation Experience in developing autonomous AI agents and workflows Understanding of agentic approaches to AI system design Knowledge of reinforcement learning and decision-making systems Experience with AI orchestration and multi-agent systems Computer Vision (Good to have) Practical experience with image processing and computer vision algorithms Knowledge of CNN architectures and modern vision transformers Experience with object detection, segmentation, and classification tasks Understanding of video processing and real-time vision systems Infrastructure & Deployment Strong experience with cloud platforms (AWS/Azure/GCP) Expertise in API development and RESTful services Knowledge of containerization and orchestration (Docker, Kubernetes) Experience with ML ops and model serving infrastructure Key Responsibilities Design and implement end-to-end AI solutions from concept to production Develop and optimize ML models for various use cases Create and maintain RAG systems for information retrieval and generation Build and deploy computer vision solutions for real-world applications Implement and manage cloud-based AI services and APIs Collaborate with cross functional teams to integrate AI solutions Mentor junior team members and contribute to technical decision making Preferred Skills Experience with distributed computing and large scale data processing Knowledge of AI safety and responsible AI development practices Familiarity with AI research papers and ability to implement novel approaches Experience with A/B testing and experimental design Strong documentation and technical writing abilities Personal Qualities Strong problem solving and analytical skills Excellent communication and collaboration abilities Self motivated with a passion for staying current with AI advancements Ability to work independently and as part of a team share CV to hrajasekaran@aziro.com

As an AI/ML Developer at our company in Meerut, you will utilize your 2 to 5 years of hands-on experience to design, build, and deploy machine learning models. Your main responsibilities will include developing models for various tasks like classification, regression, clustering, or NLP/computer vision. You will collaborate with cross-functional teams to understand business requirements and implement AI/ML solutions accordingly. Your expertise in Python libraries such as Pandas, NumPy, and Scikit-learn will be crucial in cleaning, preprocessing, and analyzing large datasets. Additionally, you will work with deep learning frameworks like TensorFlow, PyTorch, or Keras to fine-tune models for optimal performance, accuracy, and scalability. Developing APIs or services for model deployment and monitoring post-deployment performance will also be part of your responsibilities. To excel in this role, you should hold a Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. Your strong proficiency in Python and experience with ML algorithms and evaluation metrics will be essential. Exposure to deep learning frameworks and tools like Flask, FastAPI, Docker, or AWS SageMaker will be advantageous. Knowledge of SQL, NoSQL databases, version control tools like Git, and cloud platforms like AWS/GCP/Azure will also be beneficial. Keeping yourself updated with the latest advancements in AI/ML research and techniques is encouraged to contribute effectively to our projects. If you are passionate about leveraging AI and ML technologies to drive innovation and solve real-world problems, we invite you to join our dynamic team and make a meaningful impact in the field.,

Ready to shape the future of work? At Genpact, we don't just adapt to change we drive it. 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, tech-driven environment, love solving real-world problems, and want to be part of a team thats shaping the future, 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. With a startup spirit and 115,000 + curious and courageous minds, we have the expertise to go deep with the worlds biggest brandsand we have fun doing it! We dream in digital, dare in reality, and reinvent the ways companies work to make an impact far bigger than just our bottom line. Were harnessing the power of technology and humanity to create meaningful transformation that moves us forward in our pursuit of a world that works better for people. Now, were calling upon the thinkers and doers, those with a natural curiosity and a hunger to keep learning, keep growing. People who thrive on fearlessly experimenting, seizing opportunities, and pushing boundaries to turn our vision into reality. And as you help us create a better world, we will help you build your own intellectual firepower. Welcome to the relentless pursuit of better. Responsibilities: Experience in Large Language Models (LLMs) with deep dive into Generative AI applications using Python to optimize platform functionalities Good exposure with implementing robust CI/CD automation and orchestration using tools likeAzure DevOps Research and implement appropriate AI/ML algorithms and tools for developing machine learning applications to requirements Design and implementation of the overall web architecture with real time exposure of developing REST APIs Good command for designing and building the entire stack for speed and scalability Good exposure for building models, algorithms, simulations and performance evaluation by writing highly optimized, deployable code using AI-ML technologies Exposure with building solutions for data discovery, data acquisition, data processing cleaning, data integration, data interpretation Define and manage the process of production using machine learning models through MLOps pipelines for development, continuous integration, continuous delivery, verification, validation, and monitoring of AI/ML models Involve with stakeholders to analyse for solving business problems using Machine learning/ Artificial Intelligence solutions for deployment on a cloud platform Alignment with industry trends, innovations and developments in AI/ML and work with other ML teams to pilot new advances and keep the organisation future-ready Understanding customer pain points, business requirements and developing models that help to achieve them, along with metrics to track their progress Commanding exposure with scope, define, and deliver AI-based data products covering data analysis, visualization, storytelling and data technologies Perfectly collaboration of product, data science, and other stakeholders to translate business needs into powerful technical solutions Requirements Bachelor's degree in Computer science, Engineering, Mathematics, Statistics or a related field Significant good exposure in Python/R with at least 5+ years of experience developing and deploying ML and DL models Familiarity with algorithms both in supervised and un-supervised learning Should have significant command of Generative AI, Microsoft OpenAI platform (Azure OpenAI), GPTs, LLMs concepts and techniques with solid hands-on experience Exposure at implementing CI/CD pipelines to streamline development and deployment Expertise with hands on experience in Vector Databases for semantic search, Advanced RAG approaches for LLM models Very Good experience in Machine Learning, Deep Learning, Computer Vision, NLP with model architecture Expertise in effectively building and deploying ML systems using frameworks such as PyTorch, TensorFlow, Keras, sklearn etc Exposure in modular, typed, and object-oriented Python programming Familiar with the core data science languages (such as Python, R, Scala) and with data systems (e.g.SQL, NoSQL) Excellent communication skills with a desire to work in multidisciplinary teams Expert for analysing the errors of the model and designing strategies to overcome them 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 diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com . Follow us on Twitter, Facebook, LinkedIn, and YouTube. 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

We're Hiring: Sr. Software AI Engineer AI & ML Location: Remote / On-site Specify Type: Full-time | Join Within: 30 Days Department: AI & Machine Learning Apply Now: nitu.singh@simplifyhealthcare.com At Simplify Healthcare , we're on a mission to transform payer operations through automation, intelligence, and next-gen AI. Founded in 2008, were a leading healthcare IT company driving innovation across health insurance platforms. Our latest game-changer? A powerful agentic AI platform built on LLMs and Retrieval-Augmented Generation (RAG) . This is your chance to work on meaningful real-world problems, from automating claims to intelligent provider queries all while shaping the future of healthcare. What Youll Do: As a Senior AI/ML Engineer , you'll play a pivotal role in building intelligent agents and conversational AI systems that make healthcare smarter, faster, and more human. You will: Design & build LLM-powered RAG pipelines with Azure Cognitive Search or similar vector databases. Develop conversational agents using LangChain , Python , and cutting-edge agent frameworks. Fine-tune or prompt-tune LLMs (Azure OpenAI) for healthcare insurance use cases. Integrate structured & unstructured data (MongoDB, MSSQL) into AI workflows. Build high-performance APIs with FastAPI for real-time model serving. Collaborate across teams to enhance product UX and AI performance. Optimize agent memory, reasoning, and multi-agent collaboration. Drive innovation with A/B testing , prompt engineering , and LLM evaluation cycles . Skill Required: 3+ years of experience in AI/ML or NLP engineering. Solid experience building RAG pipelines , LLM-based applications , or vector search . Strong skills in Python and FastAPI or Flask. Hands-on with MongoDB , unstructured/structured data integration. Understanding of prompt engineering , multi-agent systems , and context optimization . Experience with Azure cloud AI services is a huge plus. Great communication and cross-functional collaboration skills. Bonus Points If You Have: Worked on agentic AI architectures or multi-agent orchestration . Integrated claims, benefits, or policy data into AI workflows. Knowledge of healthcare payer systems , HIPAA , or regulatory environments. Why Simplify Healthcare? Be part of a cutting-edge AI journey in a high-impact domain. Work on real-world challenges that truly matter. Collaborate with a smart, passionate, and supportive team. Enjoy a flexible, innovation-first culture where you own your growth. How to Apply: If you are passionate about AI and can join within 30 days , we would love to hear from you! Please share your CV at: nitu.singh@simplifyhealthcare.com

Clarivate is on the lookout for a Sr. Software Engineer ML (machine learning) to join our Patent Service team in Noida . The successful candidate will be responsible focus on supporting machine learning (ML) projects, for deploying, scaling, and maintaining ML models in production environments, working closely with data scientists, ML engineers, and software developers to architect robust infrastructure, implement automation pipelines, and ensure the reliability and scalability of our ML systems. The ideal candidate should be eager to learn, equipped with strong hands-on technical and analytical thinking skills, have a passion for teamwork, and staying updated with the latest technological trends. About You experience, education, skills, and accomplishments Holding a Bachelor's in Engineering or a Master's degree (BE, ME, B.Tech, M.Tech, MCA, MS) with strong communication and reasoning abilities is required. Proven experience as a Machine Learning Engineer or similar position Deep knowledge of math, probability, statistics and algorithms Outstanding analytical and problem-solving skills Understanding of data structures, data modeling and software architecture Good understanding of ML concepts and frameworks (e.g., TensorFlow, Keras, PyTorch) Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas Expertise in Prompt engineering . Expertise in visualizing and manipulating big datasets Working experience for managing ML workload in production Implement and/ or practicing MLOps or LLMOps concepts Additionally, it would be advantageous if you have: Experience in Terraform or similar, and IAC in general. Familiarity with AWS Bedrock. Experience with OCR engines and solutions, e.g. AWS Textract, Google Cloud Vision. Interest in exploring and adopting Data Science methodologies, and AI/ML technologies to optimize project outcomes. Experience working in a CI/CD setup with multiple environments, and with an ability to manage code and deployments towards incrementally faster releases. Experience with RDBMS and NoSQL databases, particularly MySQL or PostgreSQL. What will you be doing in this role? Overall, you will play a pivotal role in driving the success of the development projects and achieving business objectives through innovative and efficient agile software development practices. Designing and developing machine learning systems Implementing appropriate ML algorithms, analyzing ML algorithms that could be used to solve a given problem and ranking them by their success probability Running machine learning tests and experiments, perform statistical analysis and fine-tuning using test results, training and retraining systems when necessary Implement monitoring and alerting systems to track the performance and health of ML models in production. Ensure security best practices are followed in the deployment and management of ML systems. Optimize infrastructure for performance, scalability, and cost efficiency. Develop and maintain CI/CD pipelines for automated model training, testing, and deployment. Troubleshoot issues related to infrastructure, deployments, and performance of ML models. Stay up to date with the latest advancements in ML technologies, and evaluate their potential impact on our workflows. About the Team Our team comprises driven professionals who are deeply committed to leveraging technology to make a tangible impact in our field of the patent services area . Joining us, you'll thrive in a multi-region, cross-cultural environment, collaborating on cutting-edge technologies with a strong emphasis on a user-centric approach.

About Guidesly: Do you enjoy the Outdoors? Are you an enthusiast who wants to work in a place where you can follow your personal and professional passions? Guidesly is a well-funded startup building software for the Outdoor industry. Mobile apps, SaaS software, product services, and websites; we have a bit of everything. Sophisticated technology and a dream to change the world. If your passion is the outdoors and you want to live your dream, then this is your job. Work with guides, build products, get honest feedback from enthusiasts to create the very best solutions in the marketplace. The outdoor recreation industry includes fishing, wildlife, boating, water sports, snow sports, hunting, ATV, hiking, and biking. We are starting with the fishing vertical in the outdoor recreation industry. The product manager will work with professional guides throughout the United States and enthusiasts in all fishing varieties. Key Responsibilities: Develop and deploy machine learning, deep learning and NLP models for AI applications. Process and analyze large datasets, including feature extraction, vectorization, and embedding-based retrieval. Build and maintain backend systems and APIs to support AI-powered applications. Implement scalable AI solutions in cloud environments, primarily AWS. Develop end-to-end pipelines for model training, testing, and deployment using AWS services such as SageMaker, Bedrock, Lambda, and Step Functions. Optimize AI models for efficiency, scalability, and low-latency inference. Implement MLOps best practices for continuous integration, deployment, and monitoring of AI models. Document system architecture, API specifications, and performance benchmarks. Stay up to date with advancements in AI, including LLMs, FAISS, and deep learning frameworks, to drive innovation. Required Skills & Qualifications: Hands-on experience in AI/ML development, with expertise in natural language processing (NLP) and/or computer vision. Proficiency in Python, SQL, and machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn. Strong understanding of LLM architectures, embeddings, and transformer-based models. Hands-on experience processing large datasets, including feature engineering, embedding retrieval, and vectorization. Experience with Cloud Services (Preferably AWS) for model deployment, data processing, and cloud-based AI solutions. Strong grasp of MLOps principles, including CI/CD pipelines, model monitoring, and workflow automation. Strong analytical and problem-solving skills with a proactive approach to AI model optimization. Excellent communication and teamwork skills to collaborate effectively with engineers, data scientists, and stakeholders. Key Technologies & Tools: Languages & Frameworks: Python, SQL, TensorFlow, PyTorch, Hugging Face Data Processing & Feature Engineering: Vectorization, Embeddings, FAISS Cloud & AI Services: AWS SageMakerAI, Bedrock, Lambda, Step Functions, Inference MLOps & Model Deployment: CI/CD, Model Optimization, API Integration Workflow Automation & AI Infrastructure Key skills: Machine Learning, Deep Learning, Python, SQL, TensorFlow, PyTorch, Hugging Face, AWS SageMakerAI, Lambda, Model Optimization, API Integration, AI Infrastructure

Vola Finance is a rapidly expanding fintech company that is transforming the landscape of financial access and management. Our cutting-edge platform empowers individuals to enhance their financial well-being and take charge of their expenditures through a range of innovative tools and solutions. With the support of top-tier investors, we are dedicated to crafting products that have a significant positive impact on the lives of our users. Our founding team comprises enthusiastic leaders with extensive backgrounds in finance and technology. Drawing upon their vast experience from leading global corporations, they are committed to cultivating a culture of creativity, teamwork, and excellence within our organization. As a member of our team, your primary responsibilities will include: - Developing churn prediction models utilizing advanced machine learning algorithms based on user transactional and behavioral data - Constructing regression models to predict users" income and balances using transaction data - Creating customer segmentation and recommendation engines for cross-selling initiatives - Building natural language processing models to gauge customer sentiment - Developing propensity models and conducting lifetime value (LTV) analysis - Establishing modern data pipelines and processing systems using AWS PAAS components like Glue and Sagemaker Studio - Utilizing API tools such as REST, Swagger, and Postman - Deploying models in the AWS environment and managing the production setup - Collaborating effectively with cross-functional teams to collect data and derive insights Essential Technical Skill Set: 1. Prior experience in Fintech product and growth strategy 2. Proficiency in Python 3. Strong grasp of linear regression, logistic regression, and tree-based machine learning algorithms 4. Sound knowledge of statistical analysis and A/B testing 5. Familiarity with AWS services such as Sagemaker, S3, EC2, and Docker 6. Experience with REST API, Swagger, and Postman 7. Proficiency in Excel 8. Competence in SQL 9. Ability to work with visualization tools like Redash or Grafana 10. Familiarity with versioning tools like Bitbucket, Github, etc.,

Position level: AI Specialist/Software engineering professional (Cant be a junior/fresher, needs to be middle to senior level person) Work Experience: Ideally, 4 to 5 years of working as a Data Scientist / Machine Learning and AI at a managerial position (end-to-end project responsibility). Slightly lower work experience can be considered based on the skill level of the candidate. About the job: Use AI-ML to work with data to predict process behaviors. Stay abreast of industry trends, emerging technologies, and best practices in data science, and provide recommendations for adopting innovative approaches within the product teams. In addition, championing a data-driven culture, promoting best practices, knowledge sharing, and collaborative problem-solving. Abilities: Knowledge about data analysis, Artificial Intelligence (AI), Machine Learning (ML), and preparation of test reports to show results of tests. Strong in communication with a collaborative attitude, not afraid to take responsibility and make decisions, open to new learning, and adapt. Experience with end-to-end process and used to make result presentation to customers. Technical Requirements: Experience working with real world messy data (time series, sensors, etc.) Familiarity with Machine learning and statistical modelling Ability to interpret model results in business context Knowledge of Data preprocessing (feature engineering, outlier handling, etc.) Soft Skill Requirements: Analytical thinking Ability to connect results to business or process understanding Communication skills Comfortable explaining complex topics to stakeholders Structured problem solving – Able to define and execute a structured way to reach results Autonomous working style – can drive a small project or parts of a project Tool Knowledge: Programming: Python (Common core libraries: pandas, numpy, scikit-learn, matplotlib, mlfow etc.); Knowledge of best practices (PEP8, code structure, testing, etc.) Code versioning (GIT) Data Handling: SQL; Understanding of data format (CSV, JSON, Parquet); Familiarity with time series data handling Infrastructure: Basic Cloud technology knowledge (Azure (preferred), AWS, GCP); Basic Knowledge of MLOps workflow Good to have: Knowledge of Azure ML, AWS SageMaker; Knowledge of MLOps best practices in any tool; Containerization and deployment (Docker, Kubernetes) Languages: English – Proficient/Fluent Location: Hybrid (WFO+WFH) + Availability to visit customer sites for meetings and work-related responsibilities as per the project requirement.

Machine Learning Engineer Python, with proficiency in ML libraries such as scikit-learn, TensorFlow, PyTorch Experience: 5+ years Location: Fujitsu India R&D Center Position Type: Full-time | R&D About Fujitsu R&D Fujitsu is a multibillion-dollar global corporation with approximately 124,000 professionals in multiple countries. Fujitsu has served as a trusted partner to the worldwide telecommunications industry for more than 85 years. More information about Fujitsu’s network products can be found at: https://www.fujitsu.com/us/products/network/ Job Summary: We are looking for a Senior Software Engineer – AI/ML with deep expertise in developing and deploying cloud-native machine learning solutions. This role demands strong proficiency in Python-based ML libraries, design of scalable microservices, and deep knowledge of NoSQL databases. The ideal candidate will have hands-on experience with ML algorithms, model performance tuning, model accuracy optimization, and proven delivery of AI applications in areas such as anomaly detection and time series forecasting. You will work closely with data scientists, cloud engineers, and product teams to build intelligent systems that operate at scale and deliver real-time insights into complex, high-volume data. Key Responsibilities: Design, develop, and deploy AI/ML microservices using Python in a cloud-native environment. Build scalable pipelines for training, tuning, and serving ML models in production. Integrate and manage NoSQL databases (e.g., MongoDB, ElasticSearch) for efficient storage and retrieval of unstructured or time-series data. Optimize model accuracy, latency, and throughput, including hyperparameter tuning, feature engineering, and profiling model performance. Lead the development of ML-based solutions for anomaly detection, time series forecasting, and predictive analytics. Collaborate with cross-functional teams to translate product requirements into ML-based features. Apply best practices in model versioning, A/B testing, and continuous training/validation. Ensure high standards of code quality, modularity, and observability in deployed services. Evaluate new tools, technologies, and frameworks for ML lifecycle management and monitoring. Required Skills: 5+ years of experience in backend software development using Python . Strong programming expertise in Python , with proficiency in ML libraries such as scikit-learn, TensorFlow, PyTorch , XGBoost, or LightGBM. Demonstrated experience in implementing anomaly detection algorithms and time series forecasting models (e.g., ARIMA, Prophet, LSTM). Good understanding of AI/ML algorithms like Random Forest, K-Means, Autoencoders, Graph Neural Networks (GNNs), and Louvain for anomaly detection, clustering, and time-series analysis. Experience in building and deploying cloud-native microservices (e.g., on AWS, Azure, GCP). Solid understanding of NoSQL databases like MongoDB, ElasticSearch storing ML data and time series. Messaging bus like Kafka or RabbitMQ Hands-on experience with model performance tuning, evaluation metrics, and real-world ML system optimization. Familiarity with ML lifecycle tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Understanding of containerization and orchestration (Docker, Kubernetes) for scalable deployment. Proficient in working with Git, CI/CD workflows, and Agile development methodologies. Experience with CI/CD tools such as Jenkins, GitLab CI, or GitHub Actions. Familiarity with Agile methodologies and ticketing systems (JIRA). Nice to Have: Experience applying ML to wireless network optimization. Familiarity with federated learning or edge AI techniques to enable distributed ML across radio/access nodes. Understanding of online learning or reinforcement learning for dynamic network adaptation and control. Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

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.