8259 Machine Learning Jobs - Page 16

The ideal candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. The candidate should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems.The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. The role must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manger Roles and responsibilities: Understand business problem and requirements by building domain knowledge and translate to logical analytics problem. Conceptualize and design innovative solution by applying design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently address the end need. Prototype and experiment the solution to successfully demonstrate the value. Execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall digital analytics capability for eClerx through support in client delivery, pilots, pre sales pitches, product development and practice development. Technical and Functional Skills: Bachelor Degree in Computer Science with 7 to 10 years of experience in Data Analytics. Strong knowledge of Statistics, Data Analysis & Hypothesis testing along with Business Analytics background to support consulting assignments. Visualization and story-telling using Power BI, PowerPoint. Data wrangling using Python, SQL. Documentation using Word/ PowerPoint. Working knowledge of Excel, Pivot Tables, Formulas is must have. Good to have skills - Data Science/ RPA/ Automation using VBA, Excel macros. Exposure to Machine Learning algorithms is an added advantage.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps / friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL / PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques / tools and Process Mining / Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates and supervisors. Process Manager Role and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Technical and Functional Skills: Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. A bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience 8 years in programming languages, machine learning, data visualization and statistical analysis.

The Data Manager will Have a strong command over data wrangling and data story telling. Address and solve data quality issues either automated update or manually update information into KYCs sources systems or uplift the data into designated platforms. Source data from a variety of sources like core banking systems to combine, synthesise and analyse to improve data quality. Collaborate with stakeholders, SMEs to ensure that the in-scope issues are accurately rectified and meets business requirements. Good Knowledge and experience with tools for data analysis & data remediation (e.g. excel, KYC platforms, reporting tools Power BI, KNIME) Continuous Improvement & Change Understands, accepts and supports the need for change and adapts own behaviours to changing circumstances and provides input to change projects Problem Solving - Comprehensive understanding of a range of problem solving techniques Understanding depth & breadth of data - Some capabilities to source, join and derive insights from disparate data sources across several domain

Hands on experience with Python, Django framework. Hands on experience with front-end technologies, such as JavaScript, Angular, HTML5, and CSS3(massive plus) Knowledge of object-relational mapping (ORM)

Why Us NewRocket, a global, full-service Elite ServiceNow partner, helps top enterprise leaders solve their toughest business problems and navigate change with confidence. The go-to ServiceNow guide, NewRocket was recently awarded the "2024 ServiceNow Worldwide Customer Workflow Partner of the Year" and "2023 ServiceNow Creator Workflow Partner of the Year". We work with some of the world's biggest brands, bridging the gap between what customers expect and what their technology can deliver. We # GoBeyondWorkflows to create new kinds of experiences for our customers. Come join our Crew! The Role We are seeking an AI Scrum master with 8+ years of experience to join our dynamic team. The ideal candidate will leverage their expertise in data analysis, machine learning, and statistical modeling to extract actionable insights from complex datasets. This role will involve collaborating with cross-functional teams to solve business problems, develop predictive models, and contribute to data-driven decision-making processes. What You Will Be Doing Facilitate Scrum Ceremonies: Lead and tailor Scrum events (daily stand-ups, sprint planning, sprint reviews, retrospectives) to fit the specific needs of AI/ML teams, including managing research spikes, data dependencies, and model iteration cycles. Coaching & Mentorship: Guide team members on Agile values and Scrum practices, mentor them on basics and usage of ServiceNow and Now Assist. AI/ML Process Optimization: Collaborate with data scientists, AI engineers, and product owners to streamline AI/ML workflows, for model training, validation, and deployment. Backlog and Roadmap Management: Work closely with Product Owners to refine and prioritize the AI product backlog, ensuring alignment with business goals and technical feasibility. Impediment Removal: Identify and remove obstacles unique to AI/ML development, such as data availability, computational constraints, and integration issues, to ensure smooth team progress. Knowledge of ServiceNow modules is required and should have delivery handling experience to handle issues with various parties. Agile Metrics & Reporting: Track and analyze Agile metrics (velocity, burndown charts, cumulative flow) to assess team performance and provide actionable insights to leadership. Risk & Issue Management: Proactively identify, communicate, and mitigate risks that could impact AI project delivery. Stay current with industry trends, emerging tools, and advancements in data science and AI. Continuous Improvement: Promote a culture of learning and experimentation, encouraging feedback loops and process refinement specific to AI/ML development. What You Bring Along 8-10 years of professional experience in AI/ML Scrum master or in a similar role. Proficiency in programming languages such as Python or R for data analysis and modeling. Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Expertise in statistical analysis, hypothesis testing, and experimental design. Strong facilitation, coaching, and presentation skills. Ability to work in a collaborative environment and adapt to new AI technologies. Excellent problem-solving skills and the ability to work independently or in a team. Strong communication skills to present complex findings in a clear and concise manner Education & Certifications: Bachelor's or master's degree in data science, Computer Science, Statistics, Mathematics, or a related field. ServiceNow AI/ML are a plus We Take Care of Our People NewRocket is committed to a diverse and inclusive workplace. We value and celebrate diversity, believing that every employee matters and should be respected and heard. We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status. For individuals with disabilities who would like to request an accommodation, please contact [email protected] .

Join our team in Technology Strategy for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from technology Practice: Technology Strategy & Advisory, Capability Network I Areas of Work: Data & AI Strategy I Level: Manager | Location: Bangalore/Gurgaon/Mumbai/Pune/Chennai/Hyderabad/Kolkata | Years of Exp: 10 to 15 years Explore an Exciting Career at Accenture Do you believe in creating an impactAre you a problem solver who enjoys working on transformative strategies for global clientsAre you passionate about being part of an inclusive, diverse and collaborative culture Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Technology Strategy & Advisory Practice is a part of and focuses on the clients most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. As part of this high performing team, you will work on the scaling AIand the data that fuels it allto power every single person and every single process. You will part of our global team of experts who work on the right scalable solutions and services that help clients achieve your business objectives faster. Business Transformation: Assessment of AI potential and development of use cases that can transform business Proof of Concepts :Help design POCs and high-level solutions using AI or Gen AI analytics solutions to derive insights from data. Formulation of Guiding Principles and Components: Assessing impact to clients technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Product and Frameworks :Evaluate existing AI & Gen AI products and frameworks available and develop options for proposed solutions. Bring your best skills forward to excel in the role: Leverage your knowledge of technology trends across Data & AI and how they can be applied to address real world problems and opportunities. Interact with client stakeholders to understand their AI problems, priority use-cases, define a problem statement, understand the scope of the engagement, and also drive projects to deliver value to the client Design & guide development of Enterprise-wide AI & Gen AI strategy for our clients Through your expertise and experience, guide your team to suggest the right solutions to meet the needs of clients and help draw up practical implementation road maps that position them for long-term success Benchmark against global research benchmarks and leading industry peers to understand current & recommend AI & Gen AI solutions Conduct discovery workshops and design sessions to elicit AI & Gen AI opportunities & client pain areas. Utilize strong expertise & certification in any of the AI & Gen AI Cloud platforms Google, Azure or AWS, in areas such as Machine Learning, NLP, Generative AI etc. Collaborate with business experts for business understanding, working with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. Have a deep understanding of the Responsible AI & Gen AI framework as well as tools to engage the client in meaningful discussions and steer towards the right recommendation. Define an AI use case driven value realization framework and define business cases relevant to the client industry Create expert content and use advanced presentation, public speaking, content creation and communication skills for C-Level discussions. Demonstrate strong understanding of a specific industry , client or technology and function as an expert to advise senior leadership. Manage budgeting and forecasting activities and build financial proposals Your experience counts! MBA from a tier 1 institute 5 7 years of Strategy Consulting experience at a consulting firm 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or Data & AI transformation 3+ years of experience in designing and building end-to-end Enterprise AI and Gen AI Strategic Solutions using Cloud & Non-Cloud platforms like Google Vertex and Gemini, Azure AI, Open AI, Co-Pilot, Amazon Bedrock, IBM Watson, DataRobot etc. Excellent understanding of Traditional AI, Gen AI, Agentic AI and Advanced Cognitive methods to derive insights and actions Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks is highly preferred 3+ years of experience leading or managing teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & AI strategy recommendations as well as developing POCs Mandatory knowledge of IT & Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred:Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential Qualification MBA from a tier 1 institute 5 7 years of Strategy Consulting experience at a consulting firm 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or Data & AI transformation 3+ years of experience in designing and building end-to-end Enterprise AI and Gen AI Strategic Solutions using Cloud & Non-Cloud platforms like Google Vertex and Gemini, Azure AI, Open AI, Co-Pilot, Amazon Bedrock, IBM Watson, DataRobot etc. Excellent understanding of Traditional AI, Gen AI, Agentic AI and Advanced Cognitive methods to derive insights and actions Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks is highly preferred 3+ years of experience leading or managing teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & AI strategy recommendations as well as developing POCs Mandatory knowledge of IT & Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred:Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential

Roles and Responsibility Design, develop, and deploy artificial intelligence and machine learning models. Collaborate with cross-functional teams to identify business problems and develop solutions. Develop and maintain large-scale data pipelines and architectures. Conduct research and stay updated on the latest trends and technologies in AI engineering. Participate in code reviews and ensure high-quality code standards. Work closely with stakeholders to understand requirements and deliver results. Job Requirements Strong understanding of AI concepts, including machine learning, deep learning, and natural language processing. Experience with programming languages such as Python, Java, or C++. Knowledge of cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with containerization using Docker and Kubernetes. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment and communicate effectively with stakeholders.

Role Summary. We are seeking a strategic and hands-on Senior Manager to lead our Fraud Strategy function. This person will own the development and performance of fraud models and scorecards, work closely with cross-functional partners to define fraud policies, and ensure effective collaboration with our fraud operations team. The ideal candidate combines strong analytical skills, a solid understanding of fraud typologies in consumer lending, and a pragmatic approach to implementation.. Key Responsibilities. Lead fraud strategy for the lending portfolio, balancing risk mitigation with customer experience and approval rates.. Develop and maintain fraud detection models and anomaly detection systems using internal and third-party data.. Manage fraud scorecard performance and recommend model improvements or policy changes as needed.. Collaborate with fraud operations to monitor real-time fraud trends and adapt policies dynamically.. Partner with product, data engineering, and external vendors to evolve fraud detection infrastructure.. Provide regular fraud performance reporting and deep dives for senior leadership. Act as subject matter expert on fraud data, model outputs, and cross-channel :. 5-8 years of experience in fraud strategy, analytics, or credit risk in financial services or fintech.. Strong understanding of identity fraud, synthetic fraud, first-party fraud, and third-party fraud patterns.. Hands-on experience with fraud models, machine learning tools, and scorecard management.. Advanced proficiency in SQL and Python for data analysis and modeling.. Experience working with third-party fraud data providers and integrating fraud rules or signals into decision engines.. Ability to communicate insights and recommendations clearly to technical and non-technical stakeholders.. Exposure to US consumer lending regulations and risk management practices preferred..

Roles and Responsibility Design and implement scalable data pipelines using Apache Superset. Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain technical documentation for data pipelines and architectures. Troubleshoot and resolve issues related to data pipeline failures or performance problems. Optimize data pipeline performance for improved efficiency and reliability. Ensure compliance with security and quality standards for data pipelines. Job Requirements Strong understanding of Apache Superset architecture and design principles. Experience with big data technologies such as Hadoop and Spark. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Ability to work in a fast-paced environment and meet deadlines. Familiarity with agile development methodologies and version control systems.

Data Science & Analytics Trainer – Only Passionate Trainers Need to Apply Maitexa Technologies is Hiring – Calicut (Offline/Hybrid) Are you someone who finds joy in turning data into insights—and dreams of guiding others to do the same? We are looking for a Data Science and Analytics Trainer who is deeply passionate about teaching and ready to mentor students through real-world data challenges. You Should Have: Strong foundation in Python, NumPy, Pandas, Matplotlib, Scikit-Learn Expertise in Data Cleaning, Exploratory Data Analysis, Machine Learning, and Statistics Experience with Power BI / Tableau, Excel, SQL Ability to design capstone projects , case studies, and industry-aligned training Bonus: Exposure to AI concepts , ChatGPT , or Big Data tools is a plus! Location : Calicut (Offline preferred / Hybrid possible) If you're not truly passionate about training , please don't apply. Apply now and help students unlock the power of data! Job Type: Full-time Pay: ₹20,000.00 - ₹58,065.17 per month Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person Job Type: Full-time Pay: ₹308,483.68 - ₹1,444,923.35 per year Benefits: Health insurance Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person Expected Start Date: 29/06/2025

Very Urgent: AI Specialist Company: AurumData Solutions Location: Hyderabad Experience:7+Years Work type: Work From Office Key Skills: AI/GenAI, LLM, RAG,NLP, Python, ML/DL, TensorFlow, PyTorch, Scikit-learn AI Specialist Job Description: We are seeking an experienced AI Specialist to develop, implement, and optimize artificial intelligence (AI) and machine learning (ML) models. The ideal candidate will have a strong background in AI, deep learning, natural language processing (NLP), and data science. This role involves collaborating with cross-functional teams to integrate AI-driven solutions into business processes, enhancing efficiency, automation, and decision-making. Key Responsibilities Design, develop, and deploy AI/ML models to solve complex business problems. Implement machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning. Work with large datasets to extract insights and build predictive models. Develop AI-powered applications, including chatbots, recommendation systems, and computer vision solutions. Collaborate with data scientists, engineers, and business analysts to align AI solutions with business needs. Optimize AI models for performance, scalability, and accuracy. Conduct research on emerging AI technologies and recommend their adoption. Ensure AI solutions comply with ethical AI principles, privacy regulations, and security guidelines. Use cloud platforms (AWS, GCP, or Azure) to deploy and manage AI models. Continuously monitor and improve AI models based on real-world feedback and data. Required Skills & Qualifications Bachelor's or Masters degree in Computer Science, AI, Machine Learning, Data Science, or a related field. 5+ years of experience in AI/ML development and deployment. Proficiency in programming languages such as Python, R, or Java. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong understanding of deep learning architectures (CNNs, RNNs, Transformers, GANs). Experience with NLP, speech recognition, or computer vision. Knowledge of cloud-based AI services (AWS SageMaker, GCP AI, Azure ML). Familiarity with big data technologies (Hadoop, Spark, Kafka) is a plus. Strong problem-solving skills and the ability to work in a collaborative environment. Excellent communication skills to convey AI concepts to non-technical stakeholders. Preferred Qualifications AI certifications (Google Professional ML Engineer, AWS Certified ML Specialist, etc.). Experience in AI-driven automation and decision intelligence. Knowledge of edge AI and federated learning techniques. If you are interested, kindly send your CVs to Madhavi@aurumdatasolutions.com

Designation Sr. Machine Learning Engineer Location Mumbai/Pune Experience 3+years We are seeking a skilled and enthusiastic Machine Learning Engineer with a minimum of 3 years of experience to join our dynamic team. The ideal candidate will have a strong background in Python programming, classical machine learning algorithms, and a solid understanding of core mathematical concepts. Additionally, proficiency in Databricks, PySpark, Azure ML pipelines and SDLCs are highly desirable. The candidate should also possess hands-on experience with Azure and/or other cloud platforms. Job Description: 1. Develop and implement machine learning models using Python and classical ML algorithms to address business challenges. 2. Collaborate with cross-functional teams to understand requirements and translate them into actionable technical solutions. 3. Utilize Databricks PySpark for scalable data processing and analysis tasks. 4. Monitor model performance and implement drift management strategies to ensure model effectiveness over time. 5. Stay updated with advancements in machine learning and contribute to the adoption of best practices within the team. 6. Conduct experiments with deep learning techniques and integrate them into the existing workflow where appropriate. Must Have: 1. Bachelor’s or master’s degree in computer science, Engineering, Mathematics, or a related field. 2. Minimum of 3 years of experience in machine learning engineering or related roles. 3. Proficiency in Python programming language and SQL. 4. Strong understanding of classical machine learning algorithms related to classification, regression, time series forecasting and recommendation systems and their applications. 5. Experience with Databricks PySpark for big data processing and analysis. 6. Experience with Azure Machine Learning Pipelines and deploying REST APIs over AKS/ACR/App Service. 7. Must be familiar with CI/CD pipelines, Time Series Forecasting and Predictive Maintenance 8. Familiarity with drift management techniques and tools. 9. Hands-on experience with Azure and other cloud platforms. 10. Knowledge of deep learning concepts and frameworks (e.g., TensorFlow, PyTorch). 11. Solid grasp of core mathematical concepts such as algebra, calculus, co-ordinate geometry and statistics. 12. Excellent problem-solving skills and ability to work in a fast-paced environment. 13. Strong communication and interpersonal skills, with the ability to collaborate effectively within a team. Preferred Qualifications: 1. Previous experience in Manufacturing industry. 2. Contributions to open-source projects or publications in the field of machine learning.

Designation: Sr. Machine Learning Engineer Location: Mumbai / Pune / Jaipur Experience: 3+ years We are seeking a skilled and enthusiastic Machine Learning Engineer with a minimum of 3 years of experience to join our dynamic team. The ideal candidate will have a strong background in Python programming, classical machine learning algorithms, and a solid understanding of core mathematical concepts. Additionally, proficiency in Databricks, PySpark, Azure ML pipelines and SDLCs are highly desirable. The candidate should also possess hands-on experience with Azure and/or other cloud platforms. Job Description: 1. Develop and implement machine learning models using Python and classical ML algorithms to address business challenges. 2. Collaborate with cross-functional teams to understand requirements and translate them into actionable technical solutions. 3. Utilize Databricks PySpark for scalable data processing and analysis tasks. 4. Monitor model performance and implement drift management strategies to ensure model effectiveness over time. 5. Stay updated with advancements in machine learning and contribute to the adoption of best practices within the team. 6. Conduct experiments with deep learning techniques and integrate them into the existing workflow where appropriate. Must Have: 1. Bachelors or masters degree in computer science, Engineering, Mathematics, or a related field. 2. Minimum of 3 years of experience in machine learning engineering or related roles. 3. Proficiency in Python programming language and SQL. 4. Strong understanding of classical machine learning algorithms related to classification, regression, time series forecasting and recommendation systems and their applications. 5. Experience with Databricks PySpark for big data processing and analysis. 6. Experience with Azure Machine Learning Pipelines and deploying REST APIs over AKS/ACR/App Service. 7. Must be familiar with CI/CD pipelines, Time Series Forecasting and Predictive Maintenance 8. Familiarity with drift management techniques and tools. 9. Hands-on experience with Azure and other cloud platforms. 10. Knowledge of deep learning concepts and frameworks (e.g., TensorFlow, PyTorch). 11. Solid grasp of core mathematical concepts such as algebra, calculus, co-ordinate geometry and statistics. 12. Excellent problem-solving skills and ability to work in a fast-paced environment. 13. Strong communication and interpersonal skills, with the ability to collaborate effectively within a team. Preferred Qualifications: 1. Previous experience in Manufacturing industry. 2. Contributions to open-source projects or publications in the field of machine learning.

Greetings from IDESABS , We have urgent requirement on SAS Developer Job details Location: Chennai Exp: 5 + Job Type: Permanent Interview mode: F2F Note: Work from OFFICE Here is the job description Primary & Secondary Skills: Dataiku; Python; Spark SQL; SAS; Advanced Excel Exp: 3+ to 6 years Good understanding on Retail Banking business SAS / Python / Spark SQ Advanced MSTR / Tableau / Power BI (optional)

Immediate Openings for Business analyst Data analyst ( Fin Crime ) - PUNE - Contract to hire Experience: 6+ Years Skill: Business Analyst, Financial Crime. Location: PAN INDIA Notice Period: Immediate Employment Mode: Contract to hire Working Mode: Hybrid Job Description: Financial Crime knowledge is highly desirable but less critical to the role. Knowledge of managing customer data across a complex environment with multiple customer masters is critical Understanding the challenges of a distributed data environment, how to navigate it and how to effectively consolidate it Some experience in implementation planning (via solution design iterations) in relation to new complex data models Ability to communicate well with senior stakeholders, including influencing and adoption of ideas. Hands on DA - good at data systems, dq, data transformation, dig in and investigate Understand lineage, data quality, data criticality and governance Data model implementation strategy

Hiring a Sr. Design Engineer Software for a R&D role in embedded product development. Must have both firmware & software expertise along with strong expertise in Embedded C/C++, Linux (Yocto), ARM-based platforms, & full product lifecycle exposure.

Responsibilities Should act as a business analyst with technical expertise who is the main contact from business users including Financial Risk I.e. Credit, Market etc. Elicit the functional and non-functional requirements from the business stake holder the and manage those requirements through development, test, UAT and post-implementation support, including maintaining traceability to high level requirements and business processes. Good understanding of Risk application and should also have understanding of business flow within other upstream or downstream application. Should have working knowledge on any risk applications like SaS Should be able to understand and remediate any gaps in application and if required should be able to independently lead the discussions with business teams. Engage with business users to understand their requirements or should be able to translate the functional requirements into Technical Design Document. Supporting the preparation of training material and supporting users through user acceptance testing. Implement and follow best industry practices ensuring that designs/solutions are both efficient and sustainable Must have Experience Minimum 10-15 years of experience in banking and/or financial services IT Knowledge and experience in the area of risk modelling Participated in the implementation of sophisticated financial/risk models in live operating environments Experienced in designing and delivering complex solution for Banks and financial institutions Excellent stakeholder management skills Experience with lending, credit, and/or special asset risk management Experience with business analysis methodologies and applicable IT architectures; Should have strong communication and presentation skills. Flexible and constructively critical attitude, strong analytic mind-set, result oriented Experience in agile environment Knowledge of developing and designing analytical solutions and models in Base SAS, Advance SAS, SAS/SQL will be a plus.

Should be capable of developing/configuring data pipelines in a variety of platforms and technologies Possess the following technical skills SQL, Python, Pyspark, Hive, ETL, Unix, Control-M (or similar scheduling tools) Can demonstrate strong experience in writing complex SQL queries to perform data analysis on Databases SQL server, Oracle, HIVE etc. Experience with GCP (particularly Airflow, Dataproc, Big Query) is an advantage Have experience with creating solutions which power AI/ML models and generative AI Ability to work independently on specialized assignments within the context of project deliverables Take ownership of providing solutions and tools that iteratively increase engineering efficiencies Be capable of creating designs which help embed standard processes, systems and operational models into the BAU approach for end-to-end execution of data pipelines Be able to demonstrate problem solving and analytical abilities including the ability to critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details and apply sound business and technical domain knowledge Communicate openly and honestly using sophisticated oral, written and visual communication and presentation skills - the ability to communicate efficiently at a global level is paramount Ability to deliver materials of the highest quality to management against tight deadlines Ability to work effectively under pressure with competing and rapidly changing priorities RegardsIT RecruiterIDESLABS (P) LTDsrilakshmi.k@ideslabs.com|

Should have 6+ years of exp in Apache Superset for data exploration and visualisation exp in Apache Beam and Flink for data pipeline /ETL exp in Apache Airfow DAGS (collection of executions task) Good to have knowledge in any SQL/Mongo DB/Postgress

Dear Candidate, We are hiring a Machine Learning Engineer to develop and deploy AI models for real-world applications. The role requires expertise in data science, model training, and cloud-based ML solutions. Key Responsibilities: Build and deploy ML models using TensorFlow, PyTorch, or Scikit-learn. Optimize models for performance and scalability. Develop data pipelines and feature engineering processes. Deploy ML solutions using AWS SageMaker, Azure ML, or Google Vertex AI. Collaborate with data scientists and software engineers to integrate AI into products. Required Skills & Qualifications: Machine Learning: TensorFlow, PyTorch, Scikit-learn Programming: Python, R Cloud ML: AWS SageMaker, Azure ML, Google Vertex AI Experience in NLP, Computer Vision, or Time Series Analysis is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

Banking Data Analyst ( Marketing Analyst) - primary Skill SQL, Marketing Analytics with Banking knowledge Description Very strong in SQL Experience in Marketing Analytics Experience in Jupiter Notebook Good to have experience in Python Experience in Banking must, Deposits and Home Lending will be good to have

Location:Pune,Mumbai,Bangalore Employment Type:C2H Notice Period:Immediate JD: Position TitleData Scientist Job Summary We are seeking a Data Scientist to develop and implement data-driven, AI-powered solutions across the organization. In this role, you will apply analytical, statistical, and programming expertise to clean, aggregate, and interpret large datasetstranslating complex information into actionable insights. You will leverage machine learning algorithms, generative AI (Gen AI), and Retrieval Augmented Generation (RAG) methodologies to drive innovation, inform strategic decisions, and eHectively communicate findings to both technical and non-technical stakeholders.

Grade C1/C2 Experience in agent frameworks atleast one of the below CrewAI LangChain agents Autogen AutoGPT / OpenAgents Understand agent roles, memory, planning, and tools .Experience with Prompt engineering (few-shot, chain-of-thought, tool-calling) Fine-tuning or RAG (Retrieval-Augmented Generation) Model selection and deployment (local vs API-based) Vector databases (e.g., Pinecone, Weaviate, Chroma) Tool execution environments (e.g., LangChain tools, custom wrappers) Awareness of model limitations, hallucinations, and how to mitigate them. Full-Stack Engineering Proficiency Ability to build end-to-end systems frontend + backend + infra. Fluency in Python (especially for AI orchestration) TypeScript/React (for building UIs around agents) REST/GraphQL APIs Comfortable integrating models via APIs (OpenAI, Anthropic, HuggingFace). Rapid Prototyping & Iteration Able to build, test, and iterate on Agent workflows Tooling pipelines UI/UX for human-agent interaction Familiarity with hacky proof-of-concept workflows and productionizing them. Product & Systems Thinking Strong sense of product intuition what to build and why. Thinks in terms of goals, user outcomes, system feedback loops , not just features.