1575 Predictive Modeling Jobs - Page 11

Project description We are seeking a skilled AI Agentic Developer in implementing solutions within financial institutions. Responsibilities Build end-to-end Gen AI solutions develop, refine, and implement advanced Gen AI models and ensure the success delivery of projects Lead the integration of LLMs and LangChain into business processes. Utilize Python and other data manipulation languages proficiently to prepare and manipulate data. Understand the business requirements and translate into Gen AI solution design that successfully meets the business objectives. Collaborate with stakeholders, presenting findings to a non-technical audience and providing strategic recommendations. Stay current with technical and industry developments and standards to ensure effective and advanced applications of data analysis techniques and methodologies. Skills Must have Min Bachelor's degree in Computer science, Mathematics, Engineering, Statistics, or a related field. At least 3 years of experience with Generative AI, specifically with Large Language Models (LLM) and Langchain. Proficiency in Python and other applicable programming languages. Strong knowledge of machine learning, data mining, and predictive modeling. Excellent understanding of machine learning algorithms, processes, tools, and platforms. Possess strong problem-solving and strategic thinking abilities. Knowledge and experience in end-to-end project delivery, especially agile delivery methodologies or hybrid approaches Agentic AI / Generative AI solution design and implementation Exceptional communication, documentation and presentation skills and stakeholder management experiences Nice to have Knowledge of Agile

We are looking for a Senior Data Scientist to join our Technology team at Clarivate. You will get the opportunity to work on interesting IP data and interesting challenges to create insights and drive business acumen to add value to our world class products and services About You experience, education, skills, and accomplishments Advanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience. Atleast 4 years of industry experience in the application of ML and NLP Excellent understanding of ML, NLP, and statistical methodologies in a data analytics environment Good programming skills (Python, Java, R or C++) It would be great if you have, Experience with large language model Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies What will you be doing in this role? Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on IP & Science data and websites Implements these methods and devises appropriate test plans to validate and compare the different approaches Identifies new applications of ML and NLP in the context of Clarivate Analytics extensive sets of content and data Explores existing data for insights and recommends additional sources of data for improvements About the Team You would be part of our incredible data science team of Intellectual property (IP) group & work closely with product and technology teams spreads across various locations worldwide. Hours of Work This is a permanent position with Clarivate.9 hours per day including lunch break. you should be flexible with working hours to align with globally distributed teams and stakeholders.

We are looking for a Senior Data Scientist to join our Technology team at Clarivate. You will get the opportunity to work on interesting IP data and interesting challenges to create insights and drive business acumen to add value to our world class products and services About You experience, education, skills, and accomplishments Advanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience. Atleast 4 years of industry experience in the application of ML and NLP Excellent understanding of ML, NLP, and statistical methodologies in a data analytics environment Good programming skills (Python, Java, R or C++) It would be great if you have, Experience with large language model Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies What will you be doing in this role? Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on IP & Science data and websites Implements these methods and devises appropriate test plans to validate and compare the different approaches Identifies new applications of ML and NLP in the context of Clarivate Analytics extensive sets of content and data Explores existing data for insights and recommends additional sources of data for improvements About the Team You would be part of our incredible data science team of Intellectual property (IP) group & work closely with product and technology teams spreads across various locations worldwide. Hours of Work This is a permanent position with Clarivate.9 hours per day including lunch break. you should be flexible with working hours to align with globally distributed teams and stakeholders.

We are looking for a Data Scientist to join our Technology team at Clarivate. You will get the opportunity to work on interesting IP data and interesting challenges to create insights and drive business acumen to add value to our world class products and services About You experience, education, skills, and accomplishments Advanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience. Atleast 2 years of industry experience in the application of ML and NLP Excellent understanding of ML, NLP, and statistical methodologies in a data analytics environment Good programming skills (Python, Java, R or C++) It would be great if you have, Experience with large language model Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies What will you be doing in this role? Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on IP & Science data and websites Implements these methods and devises appropriate test plans to validate and compare the different approaches Identifies new applications of ML and NLP in the context of Clarivate Analytics extensive sets of content and data Explores existing data for insights and recommends additional sources of data for improvements

Salary : 25 to 40 LPA Exp: 4 to 8 years Location :/Gurugram/Bangalore/Hyderabad Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :/Gurugram/Bangalore/Hyderabad Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

About Company Founded in 2011, ReNew, is one of the largest renewable energy companies globally, with a leadership position in India. Listed on Nasdaq under the ticker RNW, ReNew develops, builds, owns, and operates utility-scale wind energy projects, utility-scale solar energy projects, utility-scale firm power projects, and distributed solar energy projects. In addition to being a major independent power producer in India, ReNew is evolving to become an end-to-end decarbonization partner providing solutions in a just and inclusive manner in the areas of clean energy, green hydrogen, value-added energy offerings through digitalisation, storage, and carbon markets that increasingly are integral to addressing climate change. With a total capacity of more than 13.4 GW (including projects in pipeline), ReNew’s solar and wind energy projects are spread across 150+ sites, with a presence spanning 18 states in India, contributing to 1.9 % of India’s power capacity. Consequently, this has helped to avoid 0.5% of India’s total carbon emissions and 1.1% India’s total power sector emissions. In the over 10 years of its operation, ReNew has generated almost 1.3 lakh jobs, directly and indirectly. ReNew has achieved market leadership in the Indian renewable energy industry against the backdrop of the Government of India’s policies to promote growth of this sector. ReNew’s current group of stockholders contains several marquee investors including CPP Investments, Abu Dhabi Investment Authority, Goldman Sachs, GEF SACEF and JERA. Its mission is to play a pivotal role in meeting India’s growing energy needs in an efficient, sustainable, and socially responsible manner. ReNew stands committed to providing clean, safe, affordable, and sustainable energy for all and has been at the forefront of leading climate action in India. Job Description As a Senior Data Scientist, you will be responsible for providing simple and intuitive solutions to the most complex problems in renewable industry. This will involve building machine learning and deep learning models which are coupled with contextual business knowledge. You will also use both management experience and data science expertise to lead analytics projects and mentor junior data scientists . You will be an integral part of conceptualizing, scoping and delivering complex analytics projects . You will do and oversee the development, testing and maintenance of analytical models which mimic business decisions. You will work with a world-class team of site managers, subject experts, data engineers and data scientists to build the next generation data-driven renewable company. Additionally, you will be responsible for continuously identifying opportunities to improve the ways of working and structuring within the analytics center of excellence. Roles and Responsibilities Implement data science solutions which may involve machine learning or data science techniques to increase and optimize outputs Assess the effectiveness and accuracy of data sources and data gathering techniques Manage analytics strategy across multiple use cases Provide analytical expertise in the process of model development, refining and implementation in a variety of analytics problems spread across a variety of domains Oversee and mentor large team of associate and junior-level data scientists, de-bottlenecking issues related to project execution Work closely with translators and business teams to develop and implement analytics solutions Collaborate with the engineering team to integrate data science solutions into production environments and deploy scalable solutions Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner Acquire extensive knowledge of renewables industry practices and implement tailor made techniques to solve problems relevant to the same Promote a culture of continuous learning, sharing knowledge, and staying up-to-date with emerging technologies and best practices in data science Profile & Eligible Criteria Bachelor's in Computer Science, Data Science, Statistics, Mathematics, or a related field. Master's degree preferred Proven experience of 4-6 years as a Data Scientist or in a similar role, with a strong track record of delivering successful data science projects Sound theoretical and practical knowledge of working in statistical analysis, machine learning techniques, and deep learning frameworks with solid of understanding of techniques related to regression, classification, NLP, Computer Vision, Generative AI Proficiency in Python is a must. Proficiency in SQL for data manipulation is a plus Worked in developing analytics solutions in 3-4 domains Excellent communication skills to effectively manage a team and collaborate with stakeholders in cross-functional teams Communication skills: Basic level of articulation of theoretical concepts Ability to communicate with cross functional roles is a plus Teamwork: Displays ability to work both as an individual and as a self-motivated team player Has worked in large teams with an agile setup in the past

The Workforce Planner will be responsible for assisting in building a forecasting and workforce model to develop competency in forecasting demand and translating it into necessary workforce supply for long, medium, and short terms. This role involves managing a capacity planning model to perform sensitivity analysis on historical data, compare staffing levels, and create supply scenarios to meet future demand predictively. Participation in developing a long-range strategy for the function using data models, data consumption tools, predictive modeling, and emerging technologies is essential. Additionally, this position will be accountable for supporting the design, development, and interpretation of workforce reports and dashboards, including identifying key trends, opportunities, and problem areas. As an Assistant Manager Global WFM, you are required to have a minimum of 5 years of relevant experience as a RTA with a background in any Graduate or Diploma. Your responsibilities will include serving as a subject matter expert on identifying and interpreting trends related to operational effectiveness in terms of workforce planning. You will be expected to develop actionable metrics driving forecasting capabilities and strategic insights, perform statistical analyses, and utilize forecasting techniques to extract critical insights and trends. Designing reports, scorecards, dashboards, and ad hoc analyses to provide workforce insights and KPIs is a key aspect of this role. You will be responsible for presenting relevant data trends and analysis findings in clear reports to key stakeholders, effectively managing internal and external relationships, and highlighting key organizational trends to collaborate with leadership and business partners for identifying causes, costs, and potential interventions. Leading and mentoring multiple teams, coaching and mentoring planners and schedulers, and working closely with the finance team for financial forecasting and budget creation are also part of the job responsibilities. The role requires a highly self-motivated team member with multitasking abilities, strong technical documentation skills, and a team player mindset for effective communication and interaction with stakeholders. Problem-solving, analytical, and logical skills are crucial, along with excellent English communication skills. Preferred skills include knowledge in WFM systems like Avaya CMS, NICE IEX, Cisco, Aspect eWFM, Verint, and CRM tools like Avaya and In-contact. Proficiency in MS Office tools, especially Excel and PowerPoint, and knowledge in Macros are advantageous. Location: BLR, Surya Wave Building, India,

You will be responsible for preparing data, developing models, testing them, and deploying them. This includes designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Your role will involve ensuring that algorithms generate accurate user recommendations. Additionally, you will work on turning unstructured data into useful information by auto-tagging images and converting text to speech. Solving complex problems with multi-layered data sets and optimizing existing machine learning libraries and frameworks will be part of your daily tasks. Your responsibilities will also include developing machine learning algorithms to analyze large volumes of historical data for making predictions. You will run tests, perform statistical analysis, and interpret the results, documenting machine learning processes. As a Lead Engineer in ML and Data Engineering, you will oversee the technologies, tools, and techniques used within the team. Collaboration with the team based on business requirements for designing the requirements is essential. You will ensure that development standards, policies, and procedures are adhered to and drive change to implement efficient and effective strategies. Working closely with peers in the business to fully understand the business process and requirements is crucial. Maintenance, debugging, and problem-solving will also be part of your job responsibilities. Ensuring that all software developed within your team meets the business requirements specified and showing flexibility to respond to the changing needs of the business are key aspects of the role. Your technical skills should include 4+ years of experience in Python, API development using Flask/Django, and proficiency in libraries such as Pandas, Numpy, Keras, Scipy, Scikit-learn, PyTorch, Tensor Flow, and Theano. Hands-on experience in Machine Learning (Supervised & Unsupervised) and familiarity with Data Analytics Tools & Libraries are required. Experience in Cloud Data Pipelines and Engineering (Azure/AWS) as well as familiarity with ETL Pipelines/DataBricks/Apache NiFi/Kafka/Talend will be beneficial. Ability to work independently on projects, good written and verbal communication skills, and a Bachelor's Degree in Computer Science/Engineering/BCA/MCA are essential qualifications for this role. Desirable skills include 2+ years of experience in Java.,

We are seeking a Python Trainee with a strong background in Data Analytics & Data Science to join our team in Pune. As a Data Analytics Trainee, you will be responsible for understanding client requirements, developing and delivering analytical solutions, and ensuring the successful completion of analytics projects. The ideal candidate should possess a good understanding of statistical modeling, problem-solving skills, and a solid business acumen. Your key responsibilities will include managing end-to-end analytics projects, building Machine Learning (ML) & Deep Learning (DL) Models, conceptualizing analytical problem-solving approaches, coordinating with technical teams, developing presentations for clients, and documenting solutions. You should have a BE/ B.Tech/ MCA degree with proficiency in Python, along with knowledge of Data Analytics & Data Science concepts, Machine Learning, and Deep Learning. Experience with Numpy, Panda, Power BI, Tableau, Python, Excel, R, JSON, SPSS/SAS will be advantageous. The successful candidate will demonstrate excellent problem-solving skills, a strong understanding of data modeling and statistical techniques, and the ability to structure analytical solutions effectively. Additionally, you should have exceptional client relationship management, project coordination, written and verbal communication skills, and the ability to quickly grasp new concepts and technologies. A collaborative mindset, teamwork skills, ownership, and accountability are essential for this role. This is a full-time position for freshers, requiring in-person work at our Pune location.,

As a global leader in ship management and marine services, we add value to a vessel's operations. Operating around the clock and around the world, V. gives every client the quality and efficiency they need in every sector. Covering crew management and recruitment, quality ship management and technical services, together with supporting management and commercial services, V. has unrivaled industry knowledge with performance assured. Our values, We Care, We Collaborate, We Challenge, We are Consistent, We Commit and Deliver, are at the heart of everything we do and they support our strategy of Investing in Talent. We are always interested in making contact with talented individuals - people who will demonstrate our values and deliver great service, for internal and external stakeholders. The Demand and Capacity Forecasting Manager is responsible for developing and maintaining accurate demand/supply/capacity forecasts using data-driven methodologies. This role involves analyzing historical data, market trends, and business insights to optimize and improve forecast accuracy, workforce planning, and operational efficiency. The ideal candidate must have strong forecasting experience, analytical skills, experience in building predictive models, scenario planning, and the ability to collaborate across departments to drive strategic decision-making. Key Responsibilities and Tasks: - Forecast Development: Build and refine demand forecasting models using statistical methods and business intelligence tools. - Data Analysis: Analyze historical trends, seasonality, market dynamics, micro and macro factors to improve forecast accuracy. - Performance Monitoring: Track forecast accuracy, identify gaps, and continuously refine methodologies and assumptions to enhance reliability. - Collaboration: Work with internal stakeholders, finance, operations, recruitment, and commercial teams to align forecasts with business goals. - Scenario Planning: Conduct "what-if" analyses to assess the impact of internal and/or external factors. - Automation & Technology: Work closely with Senior Data Analysts to implement AI-driven forecasting solutions, machine learning and integrate new tools for predictive analytics. - Reporting & Communication: Present insights and recommendations to senior leadership, ensuring alignment with strategic objectives. - Risk Mitigation: Identify potential demand fluctuations and develop contingency plans. Key performance indicators (as specified in the Annual objective setting): - Forecast accuracy (measure how close the forecast is to actuals) - Business impact (contribution to business goals eg. Reduce recruitment requirement) V. Group can offer you a market-leading salary and benefits package, in addition to significant opportunities for career growth and personal development. This is a great opportunity to join a true leader in the maritime sector - a company that has exciting plans for future growth. **Essential Requirements**: - Must have strong, 5+ years" experience in demand forecasting, workforce planning preferably in a global organization. - Expertise in scenario planning. - Advanced Excel and MS O365. - Strong problem-solving and strategic thinking abilities. - Excellent communication skills with the ability to translate complex data into actionable insights. - Ability to work cross-functionally in a fast-paced environment. **Desirable Skills**: - Experience with AI/machine learning in forecasting is a plus. - Workforce Management (Resource) forecasting expertise. *Applications Close Date*: 31 Aug 2025,

We are looking for a highly skilled and experienced Credit Manager to join our team at Equitas Small Finance Bank. The ideal candidate will have 2 to 7 years of experience in the BFSI industry, with expertise in credit management. Roles and Responsibility Manage and analyze credit data to make informed decisions on loan approvals. Develop and implement effective credit policies and procedures to minimize risk. Collaborate with cross-functional teams to identify and mitigate potential risks. Conduct thorough credit assessments and provide recommendations for approval or denial. Monitor and report on credit portfolio performance, identifying areas for improvement. Stay up-to-date with regulatory changes and industry trends to ensure compliance. Job Requirements Strong understanding of credit principles, including credit scoring and analysis. Experience with credit management systems and software. Excellent analytical and problem-solving skills, with attention to detail. Strong communication and interpersonal skills, with the ability to work effectively with stakeholders. Ability to work in a fast-paced environment and meet deadlines. Strong knowledge of financial regulations and industry standards.

We are looking for a highly skilled and experienced Credit Officer to join our team at Equitas Small Finance Bank. The ideal candidate will have 2 to 7 years of experience in the BFSI industry, with expertise in credit analysis and risk management. Roles and Responsibility Conduct thorough credit analysis to assess customer creditworthiness. Develop and implement effective credit policies and procedures to minimize risk. Collaborate with cross-functional teams to ensure seamless credit processing. Monitor and analyze credit portfolio performance to identify areas for improvement. Provide expert guidance on credit-related matters to internal stakeholders. Stay updated with regulatory changes and industry trends to enhance credit operations. Job Requirements Strong understanding of credit principles, including credit scoring and risk assessment. Proficiency in credit software applications and systems. Excellent analytical and problem-solving skills with attention to detail. Effective communication and interpersonal skills to build strong relationships. Ability to work in a fast-paced environment and meet deadlines. Strong knowledge of financial regulations and compliance requirements.

Assistant General Manager - Customer Delight: Job Summary: We arelooking for a dynamic and experienced Assistant General Manager (AGM) Customer Delight to lead and oversee large-scale contact centre operationsacross multiple processes. This role demands strong leadership, strategicvision, and operational expertise to drive superior customer service, enhancecustomer satisfaction, and optimize operational efficiencies across diverseteams and service channels. Key Responsibilities: Strategic Leadership & Operational Oversight: Provide leadership and direction for large contact centre operations involving multiple teams and processes, ensuring alignment with company goals and customer experience strategies. Should have managed more than 150+ FTEs spread across multiple processes/contact centres. Multi-Process Management: Oversee the delivery of multiple customer service processes (e.g., inbound/outbound calls, chat, email, social media support), ensuring consistent service quality and performance standards across channels. Team Management & Development: Manage, mentor, and motivate a large workforce including team leads, supervisors, and agents. Drive talent acquisition, training, succession planning, and career development programs. Performance Management & Analytics: Define and monitor comprehensive KPIs such as Customer Satisfaction (CSAT), Net Promoter Score (NPS), Average Handle Time (AHT), First Contact Resolution (FCR), and Service Level Agreements (SLAs). Utilize data analytics to identify trends, optimize workflows, and drive continuous improvements. Process Optimization & Innovation: Lead initiatives to streamline processes, improve operational efficiency, and enhance the customer journey through automation, technology upgrades, and best practices. Customer Escalations & Quality Assurance: Handle escalated customer issues promptly, ensuring effective resolution and maintaining customer trust. Oversee quality assurance programs to maintain high service standards. Budget & Resource Management: Develop and manage operational budgets, resource planning, and vendor relationships to support scalable and cost-effective contact centre operations. Compliance & Risk Management: Ensure all operations comply with regulatory requirements, data privacy laws, and company policies. Lead risk mitigation and business continuity planning. Cross-Functional Collaboration: Work closely with other departments such as IT, Sales, Marketing, and Product teams to align customer experience initiatives and resolve systemic issues impacting customer satisfaction. Automation and AI deployment Ensuring the right deployment of AI solutions which results in the overall contacts volume reduction and increased efficiency as well as the quality of service. Qualifications & Experience: Bachelors degree in Business Administration, Management, or related field; MBA or advanced degree preferred. Minimum 10 years of progressive experience in contact centre management or customer experience leadership roles. Proven experience managing large teams (100+ employees) across multiple processes in a complex contact centre environment. Strong strategic thinking, analytical skills, and data-driven decision-making abilities. Excellent leadership, communication, and interpersonal skills. Proficient in CRM platforms, workforce management, and contact centre technologies. Demonstrated ability to drive transformation and deliver results in fast-paced, high-pressure environments. Key Competencies: Strategic leadership & vision Multi-channel customer service expertise Large team & multi-process management Operational excellence & process improvement Data analytics & performance management Stakeholder management & collaboration Change management & innovation mindset

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP EWM Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will collaborate with multiple teams, contribute to key decisions, and provide solutions to problems for your immediate team and across multiple teams. A typical day in this role involves analyzing business requirements, designing and implementing application solutions, and ensuring the quality and integrity of the data. 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- Design and implement application solutions- Analyze business requirements- Ensure the quality and integrity of the data Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP EWM- 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 EWM- A 15 years full time education is required Qualification 15 years full time education

About iion iion is the leading global game advertising platform, reaching brands ideal customers across all gaming environments. We are ambitious trailblazers, aiming to be an indispensable element in brands media strategy. We are a growing team of 60+ people, working primarily remote, headquartered in Australia and consisting of teams working across APAC and Europe. About the Role We re seeking a talented and enthusiastic AI Engineer to join our growing team at iion.io. You ll play a key role in designing and deploying agentic AI systems that power the full lifecycle of media planning, campaign optimization, and performance monitoring. This includes building task-specific agents for autonomous budget allocation, KPI tracking, real-time reporting, and insight generation using Agentic RAG and LLM-integrated conversational interfaces. If you thrive at the intersection of backend engineering and applied AI - and want to shape how automation drives smarter media outcomes - this role is for you. Role Responsibilities: Design, build, and deploy scalable RESTful/async backend services using FastAPI and Python Architect and implement intelligent agent workflows (ReAct) using frameworks like LangChain, LangGraph, Crew AI, and LlamaIndex Create advanced conversational analytics and reporting interfaces integrated with large language models (LLMs) Deploy efficient retrieval-augmented generation (RAG) systems for actionable insights and automation Develop autonomous agents for media planning, campaign execution, performance monitoring, and continuous optimization Collaborate with product and analytics teams to define metrics, performance dashboards, and real-time analytics insights Implement and monitor ML pipelines to support campaign optimization Design, conduct, and interpret A/B tests with clear methodologies and statistical rigor Develop and implement predictive models to support decision-making processes and forecasting Role Requirements: 2 - 4 years backend Python (FastAPI/Flask) or data engineering experience 1.5 - 2 years building and deploying agentic AI solutions (ReAct agents, RAG applications) Proficiency in async programming (asyncio), AWS, and CI/CD tools Hands-on experience building agentic AI systems using frameworks like LangChain, LangGraph, Crew AI, or LlamaIndex, with practical integration of LLMs (e.g., GPT, Claude) and vector databases such as Chroma or Pinecone Solid understanding of A/B testing, hypothesis testing, and predictive modeling Proactive attitude, strategic mindset, and ability to adapt quickly in a dynamic environment Ambitious with strong values of collaboration, agility, and willingness to challenge the status quo Bachelor s/ Masters degree in Computer Science, Data Science, AI/ML, or related fields, or equivalent practical experience *This is a remote job opportunity and you can be based anywhere in India.

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 : HanaMinimum 15 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 solutions effectively into existing systems and pipelines. 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 mentoring 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 Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with data preprocessing and feature engineering techniques.- Ability to work with frameworks such as TensorFlow or PyTorch. Additional Information:- The candidate should have minimum 12 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

Job Description: Develop and lead the end-to-end product reliability strategy across design, testing, manufacturing, and field performance for electrolyzer systems. Collaborate deeply with design engineering, R&D, and systems engineering to embed reliability into early design stages (FMEA, DfR, HALT, etc.). Partner with operations and quality teams to monitor manufacturing consistency, identify systemic issues, and implement corrective/preventive actions (CAPA). Work closely with field service and customer success to collect, analyze, and respond to real-world performance data and customer feedback. Own and drive reliability testing programs, including accelerated life testing, environmental testing, stress testing, and statistical reliability validation. Lead root cause analysis (RCA) on field and test failures, ensuring closed-loop learning feeds back into future designs. Build and scale a high-performing reliability engineering team with strong analytical and experimental capabilities. Present reliability metrics and insights to executive leadership, supporting product roadmap and risk management decisions. Ensure compliance with relevant industry standards, safety regulations, and certification requirements. Desired Qualifications : Bachelor s degree in Mechanical, Electrical, Chemical Engineering or related discipline 15+ years of experience in product reliability, systems engineering, or product development, ideally with automotive industry. Demonstrated success leading cross-functional reliability programs for complex, electro-mechanical products. Deep knowledge of reliability engineering tools and methodologies (FMEA, Weibull analysis, HALT/HASS, DFMEA, etc.). Background in automotive reliability, or industrial energy equipment is a strong plus. Proven ability to bridge engineering and operational teams to drive measurable product improvements. Strong data analysis skills; proficiency with reliability modeling tools and statistical software. Exceptional communication, leadership, and organizational skills We are seeking a dynamic and technically skilled Head of Product Reliability to lead our efforts in delivering highly reliable and durable electrolyzer products. This is a mission-critical leadership role requiring close collaboration with engineering, operations, field services, and quality teams to ensure our products perform consistently and safely in demanding real-world environments. As a key cross-functional leader, you will own the reliability strategy from early design and development through production, deployment, and field operations. You will lead a team responsible for design-for-reliability (DfR), failure analysis, testing, predictive modeling, and continuous improvement, driving product excellence across the lifecycle. Ohmium is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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) 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 solutions effectively into existing systems and pipelines. 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 mentoring 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 Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with data preprocessing and feature engineering techniques.- Ability to work with frameworks such as TensorFlow or PyTorch. Additional Information:- The candidate should have minimum 12 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 Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP ABAP Development for HANA Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while maintaining a focus on quality and efficiency in your work. 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 ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA.- Good To Have Skills: Experience with SAP Fiori and SAP UI5.- Strong understanding of database management and optimization techniques.- Experience in developing and implementing custom reports and interfaces.- Familiarity with Agile methodologies and project management tools. Additional Information:- The candidate should have minimum 5 years of experience in SAP ABAP Development for HANA.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP ABAP Development for HANA Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while maintaining a focus on quality and efficiency in your work. 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 ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA.- Good To Have Skills: Experience with SAP Fiori and SAP UI5.- Strong understanding of database management and optimization techniques.- Experience in developing and implementing custom reports and interfaces.- Familiarity with Agile methodologies and project management tools. Additional Information:- The candidate should have minimum 5 years of experience in SAP ABAP Development for HANA.- 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 : Computer Vision Good to have skills : HanaMinimum 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 existing systems and workflows, driving efficiency and enhancing user experiences. 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 foster professional growth.- Continuously evaluate and improve existing processes and systems to enhance performance and reliability. 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 model development.- Knowledge of data preprocessing techniques and data pipeline construction. Additional Information:- The candidate should have minimum 12 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 : Infra Tech Support Practitioner Project Role Description : Provide ongoing technical support and maintenance of production and development systems and software products (both remote and onsite) and for configured services running on various platforms (operating within a defined operating model and processes). Provide hardware/software support and implement technology at the operating system-level across all server and network areas, and for particular software solutions/vendors/brands. Work includes L1 and L2/ basic and intermediate level troubleshooting. Must have skills : Network Security Operations Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Migration Engineer, you will provide a comprehensive assessment of existing solutions and infrastructure to facilitate a seamless migration to the cloud. Your typical day will involve planning, delivering, and implementing application and data migration strategies that leverage both private and public cloud technologies, ultimately driving next-generation business outcomes. You will engage with various stakeholders to ensure that the migration process aligns with organizational goals and meets performance expectations. 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 training sessions to enhance team capabilities in cloud migration.- Monitor and evaluate the performance of migrated applications to ensure optimal functionality. Professional & Technical Skills: - Must To Have Skills: Proficiency in Network Security Operations.- Strong understanding of cloud architecture and deployment models.- Experience with cloud service providers such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform.- Familiarity with security protocols and compliance standards relevant to cloud environments.- Ability to troubleshoot and resolve network security issues effectively. Additional Information:- The candidate should have minimum 5 years of experience in Network Security Operations.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Infra Tech Support Practitioner Project Role Description : Provide ongoing technical support and maintenance of production and development systems and software products (both remote and onsite) and for configured services running on various platforms (operating within a defined operating model and processes). Provide hardware/software support and implement technology at the operating system-level across all server and network areas, and for particular software solutions/vendors/brands. Work includes L1 and L2/ basic and intermediate level troubleshooting. Must have skills : Microsoft SQL Server Administration Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Commercial Operator, you will plan and manage commercial deliverables for client accounts, focusing on enhancing efficiency and standardizing processes throughout the contract's lifecycle. Your typical day will involve collaborating with various teams to ensure that project costs are minimized while maintaining high-quality service delivery. You will assist in executing the commercial vision for the account, ensuring that all stakeholders are aligned and informed about project progress and objectives. Engaging with account leadership, you will play a crucial role in driving the commercial strategy forward, identifying opportunities for improvement, and implementing best practices to achieve operational excellence. 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 training and development opportunities for team members to enhance their skills and performance.- Monitor project progress and performance metrics to ensure alignment with commercial objectives. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft SQL Server Administration.- Strong understanding of database management and optimization techniques.- Experience with performance tuning and troubleshooting SQL Server databases.- Familiarity with backup and recovery strategies for SQL Server environments.- Knowledge of security best practices for database administration. Additional Information:- The candidate should have minimum 5 years of experience in Microsoft SQL Server Administration.- 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 Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP ABAP Development for HANA Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while staying updated with the latest technologies and methodologies in application development. 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 ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA.- Good To Have Skills: Experience with SAP Fiori and UI5.- Strong understanding of database management and optimization techniques.- Experience in developing and implementing RESTful APIs.- Familiarity with Agile methodologies and project management tools. Additional Information:- The candidate should have minimum 7.5 years of experience in SAP ABAP Development for HANA.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education