8259 Machine Learning Jobs - Page 14

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Google BigQuery Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your day will involve overseeing the application development process, coordinating with team members, and ensuring project milestones are met. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the application development process effectively- Ensure timely delivery of project milestones- Provide guidance and mentorship to team members Professional & Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery- Strong understanding of data analytics and visualization- Experience with cloud-based data warehousing solutions- Hands-on experience in designing and implementing scalable applications- Knowledge of data security and compliance standards Additional Information:- The candidate should have a minimum of 7.5 years of experience in Google BigQuery- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for overseeing the application development process and ensuring successful project delivery. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the application development process effectively- Ensure timely project delivery- Provide guidance and mentorship to team members Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform- Strong understanding of data analytics and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on experience in implementing various machine learning algorithms- Solid grasp of data munging techniques Additional Information:- The candidate should have a minimum of 5 years of experience in Databricks Unified Data Analytics Platform- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Natural Language Processing (NLP), Java, Spring MVC Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into cohesive systems that address complex challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing processes and systems to optimize efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Natural Language Processing (NLP).- Strong understanding of machine learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with data preprocessing techniques and tools for text data.- Ability to design and implement APIs for AI applications. Additional Information:- The candidate should have minimum 12 years of experience in Natural Language Processing (NLP).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP ABAP Development for HANA Good to have skills : SAP ABAP DevelopmentMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME with hands-on experience SAP IS-Utilities ABAP- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute to key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact for the project- Manage the team and ensure successful project delivery- Collaborate with multiple teams to make key decisions- Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA, SAP ABAP Development- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in SAP ABAP Development for HANA- This position is based in Pune- 15 years full-time education is required Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 18 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential as you contribute to the advancement of AI technologies within the organization. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Engage with multiple teams and responsible for team decisions.- Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems.- Facilitate knowledge sharing sessions to enhance team capabilities and foster a culture of continuous learning.- Analyze and evaluate existing systems to identify areas for improvement and optimization. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with programming languages such as Python or R for data analysis and model development.- Knowledge of data preprocessing techniques and tools to ensure data quality. Additional Information:- The candidate should have minimum 18 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP FI CO Finance Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute to key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact for the project- Manage the team and ensure successful project delivery- Collaborate with multiple teams to make key decisions- Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP FI CO Finance- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in SAP FI CO Finance- This position is based in Gurugram- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : PySpark Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team in implementing effective solutions. You will also engage in strategic planning sessions to align project goals with organizational objectives, ensuring that all stakeholders are informed and involved in the development process. Your role will be pivotal in driving innovation and efficiency within the application development lifecycle, fostering a collaborative environment that encourages creativity and problem-solving. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and implement necessary adjustments to meet deadlines. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Strong understanding of data processing frameworks and distributed computing.- Experience with data integration and ETL processes.- Familiarity with cloud platforms and services related to data processing.- Ability to troubleshoot and optimize performance in data pipelines. Additional Information:- The candidate should have minimum 5 years of experience in PySpark.- This position is based in Chennai.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring high-quality standards are met. You will also explore innovative approaches to integrate generative AI models into various applications, contributing to advancements in deep learning, neural networks, and image processing technologies. Your role will require a proactive approach to problem-solving and a commitment to continuous improvement in AI methodologies. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Evaluate and implement new technologies and tools that can improve team efficiency and project outcomes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills with the ability to interpret complex data sets.- Experience with machine learning frameworks such as TensorFlow or PyTorch.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Proficient in programming languages such as Python or R for data analysis and model development. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Data Analytics Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : Application lead Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will oversee the application development process and ensure successful project delivery. Roles & Responsibilities:- Expected to be a SME with deep knowledge and experience.- Should have Influencing and Advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead the application development team in designing and implementing software solutions.- Collaborate with stakeholders to gather requirements and define project scope.- Provide technical guidance and mentorship to team members. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 15 years of experience in Data Analytics.- This position is based at our Mumbai office.- A degree in Application lead is required. Qualification Application lead

Skilled Multiple GCP services - GCS, BigQuery, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer etc. Must have Python and SQL work experience & Proactive, collaborative and ability to respond to critical situation Ability to analyse data for functional business requirements & front face customer Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5 to 7 years of relevant experience working as technical analyst with Big Query on GCP platform. Skilled in multiple GCP services - GCS, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work Preferred technical and professional experience Create up to 3 bullets maxIntuitive individual with an ability to manage change and proven time management Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications (encouraging then to focus on required skills)

Job Description: We are seeking a highly skilled and experienced Senior Machine Learning Developer to join our dynamic team. The ideal candidate will have a strong background in machine learning (ML), deep learning (DL), and large language models (LLMs). They should be proficient in Python and possess expertise in conventional ML algorithms, DL techniques, LLM and prompt engineering. Desire Skills 1. RAG-Based Domain-Specific Q&A System Should have built a chatbot that answers questions from custom documents (e.g., legal contracts, company policies) using LLM + Vector DB (RAG). 2. Agentic AI Workflow Assistant (Multi-Step Planner) Should have created an LLM agent that performs tasks like Book my flight + hotel + calendar block” via API tools using LangGraph or AutoGen. 3. Multimodal RAG for Image + Text Search Worked on system that allows users to ask questions like “Find me the slide where person X talks about success in life” in a YouTube video or PDF deck. 4. Document Parsing Using OCR + Transformers Extract structured data from messy PDFs using Tesseract + LayoutLM or Donut Responsibilities: Machine Learning Development: Design, develop, and implement ML models and algorithms to solve complex problems. Work on various ML projects involving data preprocessing, feature engineering, model selection, and evaluation. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Deep Learning: Develop and deploy DL models using frameworks like TensorFlow, PyTorch, or Keras. Optimize DL models for performance and scalability. Stay updated with the latest advancements in DL and apply them to improve existing models. Large Language Models: Develop and fine-tune large language models for various NLP tasks. Implement prompt engineering techniques to enhance model performance and accuracy. Experiment with state-of-the-art LLM architectures and methodologies. Software Development: Write clean, maintainable, and efficient code in Python. Conduct code reviews and ensure adherence to best practices and coding standards. Implement version control using Git and collaborate with the development team through GitHub or similar platforms. Data Handling: Work with large datasets and perform data preprocessing, cleaning, and augmentation. Implement data pipelines and ensure data integrity and quality throughout the ML lifecycle. Research and Innovation: Stay abreast of the latest research and developments in the field of ML, DL, and LLMs. Propose and explore innovative solutions to improve model performance and address new challenges. Mentorship: Mentor and guide junior ML engineers and team members. Share knowledge and best practices within the team to foster a collaborative and learning environment.

Provide expertise in analysis, requirements gathering, design, coordination, customization, testing and support of reports, in client’s environment Develop and maintain a strong working relationship with business and technical members of the team Relentless focus on quality and continuous improvement Perform root cause analysis of reports issues Development / evolutionary maintenance of the environment, performance, capability and availability. Assisting in defining technical requirements and developing solutions Effective content and source-code management, troubleshooting and debugging Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5+ years of experience with BI tools, with expertise and/or certification in at least one major BI platform - Tableau preferred. Advanced knowledge of SQL, including the ability to write complex stored procedures, views, and functions. Proven capability in data storytelling and visualization, delivering actionable insights through compelling presentations. Excellent communication skills, with the ability to convey complex analytical findings to non-technical stakeholders in a clear, concise, and meaningful way. Identifying and analyzing industry trends, geographic variations, competitor strategies, and emerging customer behavior Preferred technical and professional experience Troubleshooting capabilities to debug Data controls Capable of converting business requirements into workable model. Good communication skills, willingness to learn new technologies, Team Player, Self-Motivated, Positive Attitude. Must have thorough understanding of SQL & advance SQL (Joining & Relationships)

Project Role : Application Designer Project Role Description : Assist in defining requirements and designing applications to meet business process and application requirements. Must have skills : SAP Generative AI Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : BE Summary :As an Application Designer, you will assist in defining requirements and designing applications to meet business process and application requirements. Your typical day involves collaborating with stakeholders to understand business needs and translating them into functional designs. Roles & Responsibilities:- Expected to be a SME with deep knowledge and experience.- Should have Influencing and Advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead design discussions and provide innovative solutions.- Collaborate with cross-functional teams to ensure alignment on design.- Contribute to the development of best practices and design standards. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Generative AI.- Strong understanding of artificial intelligence and machine learning concepts.- Experience in designing and implementing AI-driven applications.- Knowledge of SAP technologies and integration with AI solutions.- Hands-on experience in developing AI models and algorithms.- Familiarity with data analytics and visualization tools. Additional Information:- The candidate should have a minimum of 15 years of experience in SAP Generative AI.- This position is based at our Noida office.- A BE degree is required. Qualification BE

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : PySpark Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team through the development process while ensuring alignment with organizational goals. You will also engage in strategic planning and decision-making to enhance application performance and user experience, fostering a culture of innovation and continuous improvement within your team. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and professional growth.- Facilitate regular team meetings to discuss progress, challenges, and solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Strong understanding of data processing frameworks and distributed computing.- Experience with data integration and ETL processes.- Familiarity with cloud platforms and services related to data processing.- Ability to troubleshoot and optimize performance issues in applications. Additional Information:- The candidate should have minimum 5 years of experience in PySpark.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Scale an existing RAG code base for a production grade AI application Proficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases Experience using LLMs in software applications, including prompting, calling, and processing outputs Experience with AI frameworks such as LangChain Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Experience in python and pyspark will be added advantage Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Demonstrate a growth mindset to understand clients' business processes and challenges Preferred technical and professional experience EducationBachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

Work with broader team to build, analyze and improve the AI solutions. You will also work with our software developers in consuming different enterprise applications Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services. Proficient in Python with focus on Data Analytics Packages. Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions. Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines. Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models Preferred technical and professional experience Experience with conversation analytics. Experience with cloud technologies Experience with data exploration tools such as Tableu

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Azure Machine Learning Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : AMust have:BE/Btech/MCA BGood to have:ME/Mtech Project Role :Application Lead Project Role Description :Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have Skills :Microsoft Azure Machine LearningGood to Have Skills :No Technology SpecializationJob :Key Responsibilities :ASelecting features, building and optimizing classifiers using machine learning techniquesBWork on real time analytics, complex event processing, data warehouses, BI, etcCExperience on Azure Machine Learning services Hypothesis testing, being able to develop hypothesis and test them with careful experimentsDPredictive modelling, working with scenario based data to predict future outcomesEPerform statistical analysis to understand and work around possible limitations in models Technical Experience :AExp in Predictive Analytics, Data Mining with the following areas:1Linear Regression, Classification Techniques, Logistic Regression2Discriminant Analysis, Unsupervised Learning techniques like k means or hierarchical clustering3Feature reduction methods like PCA, SVD, Optimization methodsBRequired knowledge of R Python, Tensor flow is necessaryCExp with Data cleaning, cleansing and transformation activitiesDExp with Deep Learning Machine Learning, Computer vision image processing Professional Attributes :AExcellent Communication Skills BProblem-solving aptitude Educational Qualification:AMust have:BE/Btech/MCA BGood to have:ME/MtechAdditional Info : Qualification AMust have:BE/Btech/MCA BGood to have:ME/Mtech

As a System Software Development Engineer (AI), you will be responsible for building and exploitation of the unique AI h/w acceleration features on IBM Power Processor (PPC). Responsibilities include : Knowledge of low level code in the Linux Operating System that interacts directly with accelerator hardware. Develop software to enable standard AI open source frameworks like PyTorch, pytorch profiler, libkineto, AI and ML technologies. Developing userspace drivers for accelerators. With focus on development, you will be responsible for delivery, working and support of the existing AI accelerator stack. This includes adding newer features to the accelerator stack and support with customer bugs. Required education Bachelor's Degree Required technical and professional expertise 3+ years of Software Development experience in System Software domain. Experienced in development of Linux drivers and related concepts with 2+ years of hands on experience. Strong programming experience in C++. Knowledge of C, Python. Strong debugging and problem solving skills with expertise in problem determination methods and debugging tools such as gdb. Knowledge of machine learning and AI concepts. Experience in source code repository systems such as git, scripting languages Python, working with containers (docker/podman) Highly motivated Individual with ability to drive work in a fast pace dynamic global development team. Strong verbal and written communication skills.

Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimization of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights. Learn and utilize cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. Collaboration: Ensure alignment to stakeholders’ strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience: 2-4 yearsof experience in data science, AI, or analytics with a focus on implementing data-driven solutions Experience with data cleaning, data analysis, A/B testing, and data visualization Experience with AI technologies through coursework or projects Technical Skills: Proficiency in SQL and Python for performing data analysis and developing machine learning models Knowledge of common machine learning algorithms and frameworkslinear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch Experience with cloud-based platforms and data processing frameworks Understanding of large language models (LLMs) Familiarity with IBM’s watsonx product suite Familiarity with object-oriented programming Analytical Skills: Strong problem-solving abilities and eagerness to learn Ability to work with datasets and derive insights Other : Good communication skills, with the ability to explain technical concepts clearly. Enthusiasm for learning and applying new technologies Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment Successful completion of Coding Assessment Preferred technical and professional experience Education: Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree strongly preferred Advanced degree strongly preferred. * Good communication skills, with the ability to explain technical concepts clearly * Enthusiasm for learning and applying new technologies * Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment * Successful completion of Coding Assessment

Analytics at Innovaccer Our analytics team is dedicated to weaving analytics and data science magics across our products. They are the owners and custodians of intelligence behind our products. With their expertise and innovative approach, they play a crucial role in building various analytical models (including descriptive, predictive, and prescriptive) to help our end-users make smart decisions. Their focus on continuous improvement and cutting-edge methodologies ensures that they're always creating market leading solutions that propel our products to new heights of success. If analytics is your game, then this team is just the right place for you. About the Role: We are seeking an experienced and strategic Director-Analytics to define and drive the development of data and analytics products that deliver actionable insights and meaningful business outcomes in the healthcare domain. This role is critical in shaping our analytics product suite / portfolio, translating complex customer needs into intuitive, visually compelling dashboards, analytical engines, and tools that drive decision-making and measurable impact. A Day in the Life: Operationalize Product Strategy: Help define the vision, roadmap, and strategy for the analytics product portfolio, working closely with senior analytics leadership, sales, and customer success. Own the execution of the roadmap, ensuring that the developed products meet the requirements and defined use cases. Customer-Centered Design: Engage directly with customers and internal stakeholders to uncover not just stated desires but the underlying use cases and true business challenges. Translate those insights into effective product solutions. Drive Impactful Visualizations: Lead the creation of intuitive dashboards and compelling data visualizations (charts, graphs) that simplify complex information, surface key insights, and clearly guide users to action. Collaborate with Designers: Partner closely with UX/UI designers to ensure analytics products are not only functional but visually engaging, intuitive to navigate, and optimized for user experience. Healthcare Expertise: Leverage a strong understanding of core healthcare metrics and industry dynamics to ensure products deliver relevant, high-value insights to stakeholders. Experience with value-based care models and risk-bearing entities is a strong plus. Take Accountability for Product Development: Proactively monitor product development efforts, identify and remove roadblocks, and ensure on-time delivery of high-quality products that meet user expectations. Portfolio Mindset: Bring experience managing a portfolio of successful analytics products that not only provide clear insights but also meaningfully drive business decisions and actions. Turn Analytics into Action: Apply critical thinking and product design expertise to turn raw analytics into insights, and insights into actions that improve outcomes and performance. Incorporate Advanced Technologies: Utilize a solid understanding of machine learning, deep learning, and generative AI capabilities to enhance product offerings and differentiate solutions in the market. Measure Success: Define and track key performance indicators (KPIs) for product success, continuously refining strategies based on data-driven feedback. What You Need: 10+ years of experience in developing analytical content as an analytics professional or as product management focused on data and analytics products. The ideal candidate is not simply a product manager, but someone who has lived and breathed the role of creating and owning analytics. Demonstrated ability to abstract and synthesize complex feedback to uncover true user needs and design products that address them effectively. Strong portfolio of analytics and dashboard products that combine intuitive design with measurable business impact. Deep understanding of data platforms, business intelligence tools (e.g., Power BI, Tableau, Looker), and modern analytics technologies, including machine learning, deep learning, and generative AI. Solid knowledge of core healthcare metrics, quality measures, and operational performance indicators. Experience with value-based care and risk-bearing entities is highly desirable. Proven success in managing product development lifecycles, removing obstacles, and delivering high-impact products on time. Excellent communication, stakeholder management, and critical thinking skills, with the ability to influence across all levels of the organization. Strong collaboration skills with UX/UI designers to develop products that are not only analytically robust but also visually engaging and easy to use. As this role includes client-facing responsibilities during US hours, youll need to be comfortable aligning with that time zone

Skilled Multiple GCP services - GCS, BigQuery, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer etc. Must have Python and SQL work experience & Proactive, collaborative and ability to respond to critical situation Ability to analyse data for functional business requirements & front face customer Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5 to 7 years of relevant experience working as technical analyst with Big Query on GCP platform. Skilled in multiple GCP services - GCS, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work Preferred technical and professional experience Create up to 3 bullets maxIntuitive individual with an ability to manage change and proven time management Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications (encouraging then to focus on required skills)

As an Associate Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong MS SQL, Azure Databricks experience Implement and manage data models in DBT, data transformation and alignment with business requirements. Ingest raw, unstructured data into structured datasets to cloud object store. Utilize DBT to convert raw, unstructured data into structured datasets, enabling efficient analysis and reporting. Write and optimize SQL queries within DBT to enhance data transformation processes and improve overall performance Preferred technical and professional experience Establish best DBT processes to improve performance, scalability, and reliability. Design, develop, and maintain scalable data models and transformations using DBT in conjunction with Databricks Proven interpersonal skills while contributing to team effort by accomplishing related results as required

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. Roles & Responsibilities:- Continuously evaluate and improve existing processes to enhance efficiency.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team skills and capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - ML Pipeline Development:Design, build, and maintain scalable pipelines for model training to support our AI initiatives.- Model Deployment & Serving:Deploy machine learning models as robust, secure services containerize models with Docker and serve them via FastAPI on AWS ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference.- CI/CD Automation:Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery.- Model Lifecycle Management:Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory- Monitoring & Optimization:Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time.- Must To Have Skills: Proficiency in Machine Learning Operations.- Strong understanding of cloud-based AI services and deployment strategies.- Should have Multi Cloud skills- Experience with Machine learning frameworks- Ability to implement and optimize machine learning models for production environments. Additional Information:- The candidate should have minimum 7.5 years of experience in Machine Learning Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations, Java Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. Roles & Responsibilities:- Continuously evaluate and improve existing processes to enhance efficiency.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team skills and capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - ML Pipeline Development:Design, build, and maintain scalable pipelines for model training to support our AI initiatives.- Model Deployment & Serving:Deploy machine learning models as robust, secure services containerize models with Docker and serve them via FastAPI on AWS ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference.- CI/CD Automation:Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery.- Model Lifecycle Management:Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory- Monitoring & Optimization:Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time.- Must To Have Skills: Proficiency in Machine Learning Operations.- Strong understanding of cloud-based AI services and deployment strategies.- Should have Multi Cloud skills- Experience with Machine learning frameworks- Ability to implement and optimize machine learning models for production environments. Additional Information:- The candidate should have minimum 5 years of experience in Machine Learning Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education