80 Model Building Jobs - Page 4

ML Engineers 3-10 yrs Hybrid/ Pune 2 days WFO Time: 2-11 or 10-7 Certifications: Big plus if they are certified ML Engineers. Skills: Python, SQl is a must and need strong exp. certified candidates scikit-learn, tensorflow, pytorch Scientific python libs : Numpy, pandas, pyspark, dask, matplotlib, transformers, plotly Generative AI , Cloud (Azure) - Cloud is for Senior roles Big Data is a huge Plus people who worked with larger sets, for ex: FMCG, retail, telecom, oil and gas upstream/ downstream.

Role Proficiency: Design and develop ML solutions that will enable intelligent experiences and provide value. Collaboratively work with business technology and product teams to understand the product objectives and formulate the ML problem under minimal guidance from Lead II Outcomes: Executes relevant data wrangling activities related to the problem Conduct ML experiments to understand feasibility; building baseline models to solve the business problem Fine tune the baseline model for optimum performance Test Models internally per acceptance criteria from the business Identify areas and techniques to optimize the model based on test results Document relevant artefacts for communicating with the business Work with data scientists to deploy the models. Work with product teams in planning and execution of new product releases. Set OKRs and success steps for self/ team and provide feedback of goals to team members Identify metrics for validating the models and communicate the same in business terms to the product teams. Keep track of the trends and do rapid prototyping to understand the feasibility of utilizing in existing solutions Measures of Outcomes: Selection of right algorithms for the business problems Successful deployment of the model with optimised accuracy for baseline model Number of time project schedule / timelines adhered to Personal and team achievement of quarterly/yearly objectives (OKR Assignments HIG Stretch goals) Number of internal testing observations published and models refined to achieve 100 % business objectives with mentoring from the Lead ML Engineer Number of business metric and corresponding model metrics identified independently or with assistance from product team / ML Specialist Number of areas identified for improving the model using new technologies for product / feature improvements Number of Rapid prototypes using state of the art methods Outputs Expected: Design to deliver Product Objectives: Design ML solutions which are aligned to and achieve product objectives Understand the business requirements; formulate into an ML problem Define data requirements for the model building and model monitoring; working with product managers to get necessary data Define the data requirement for the problem Define the AI scope and metrics from the product and business objectives with guidance from Lead II Identify technology components for Rapid prototype Alignment of Business metrics to Model Metrics Check the validity of the training data and test data requirements from the performance standpoint and take necessary actions Updated on state of art techniques in the area of AI / ML : Perform necessary research to use the latest state of the art techniques to design scalable approaches Explain the relevance of the technologies its pros and cons to the product team to enable appropriate design experiences Skill Examples: Technically strong with the ability to connect the dots Ability to communicate the relevance of technology to the stakeholders in a simple and relatable language Capability in selecting the appropriate techniques based on the data availability and set expectations on the overall functionality of the solutions Ability to understand the limitations of the current technology; defining the AI scope and metrics Curiosity to learn more about new business domains and Technology Innovation An empathetic listener who can give and receive honest thoughtful feedback Knowledge Examples: Expertise in machine learning model building lifecycle Clear understanding of various ML techniques and its appropriate use to business problems A strong background of Statistics and Mathematics Expertise in one of the domains - Computer Vision Language Understanding or structured data Experience in executing collaboratively with engineering design user research teams and business stakeholders Experience with data wrangling techniques preprocessing and post processing requirements for ML solutions Aware of the techniques of validating the quality of the data Experience in identifying the testing criteria to validate the quality of the model output Good knowledge python and deep learning frameworks like Tensorflow Pytorch Caffe Familiar with the machine learning model testing approaches A genuine eagerness to work and learn from a diverse and talented team Additional Comments: Job Description: We are seeking a visionary AI professional to lead the AIOps team within our Intelligent Automation division. The ideal candidate will bring a minimum of 10 years of experience in AI, with deep expertise in ML, Deep Learning, NLP, and Generative AI. The role requires strong technical leadership, R&D focus, and the ability to mentor and lead a team driving cutting-edge AIOps solutions for IT operations management. Responsibilities: - Lead AIOps Research: Drive research and development of AI solutions for AIOps, focusing on predictive maintenance, anomaly detection, incident correlation, and root cause analysis. - Project Leadership: Oversee end-to-end delivery of AIOps AI projects, aligning them with organizational goals and client requirements. - Technical Expertise: Provide expert-level guidance in ML, DL, NLP, and Generative AI technologies to ensure robust and scalable solutions. - Innovation in AIOps: Explore and implement advanced Generative AI, Large Language Models (LLMs), and agentic AI for intelligent automation and IT operations. - Team Leadership: Manage, mentor, and inspire a team of AI researchers, data scientists, and ML engineers, fostering a collaborative and innovative environment. - Collaboration: Partner with cross-functional teams, including product management, engineering, and business stakeholders, to deliver impactful AIOps solutions. - Strategic Vision: Contribute to the development of AIOps strategies and roadmaps, defining milestones and objectives that drive innovation and business value. Qualifications: - Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; advanced degree (Master's or Ph.D.) preferred. - At least 10 years of experience in AI, with a focus on ML, DL, NLP, and Generative AI applications. - Proven expertise in AIOps-specific use cases such as predictive maintenance, anomaly detection, and incident management. - Proficiency in ML frameworks and libraries like TensorFlow, PyTorch, and Scikit-learn. - Strong experience with Generative AI and LLMs such as GPT, BERT, or similar transformer models. - Familiarity with MLOps tools, Databricks, and cloud-based AI services from Azure, AWS, and GCP. - Demonstrated team leadership experience, with the ability to manage, mentor, and grow technical teams. - Excellent problem-solving and analytical skills, with a results-oriented mindset. - Exceptional communication skills to effectively collaborate with diverse stakeholders. - Ability to operate in a fast-paced, dynamic environment while maintaining a focus on quality and innovation. Required Skills Artificial Intelligence,Project Leadership,Team leadership

Min exp 3 years in pd. lgd MODELS. IFRS9/ IRB model validation/ development/monitoring exp mandatory Package upto 55 lpa Depends on exp Required Candidate profile Bangalore/Noida location Please send cv's on supreetbakshi@imaginators.co or Call on 7042331616 Please send cv's on email only

Exciting opportunity for a Senior Data Scientist to join a dynamic organization working on advanced AI/ML solutions in the financial services space. The role focuses on model building, credit bureau analytics, and developing strategies using large-scale data. Location: Remote Your Future Employer : A fast-growing AI/ML-led company transforming financial analytics through innovation, technology, and domain expertise. Responsibilities : Building predictive models and machine learning solutions using credit bureau data (D&B, Experian, Equifax, LexisNexis) Handling credit risk and loan strategy analytics projects across the data lifecycle Collaborating with cross-functional teams for deploying scalable data science solutions Mentoring junior data scientists and supporting governance for analytical models Requirements : Masters degree in Computer Science, Statistics, Engineering, or related field 5+ years of experience in data science with focus on credit, lending, or financial analytics Must have hands-on experience working with US commercial or consumer credit bureau data (D&B, LexisNexis, Experian, Equifax) Strong programming skills in Python and SQL; experience with large datasets Proficiency in statistical modeling, data visualization tools (Power BI/Tableau), and cloud platforms (AWS/Azure/GCP) Whats in it for you : Competitive salary and benefits Exposure to high-impact projects in credit analytics and risk Flexible work arrangements and collaborative environment Opportunities for continuous learning and growth

Responsibilities and Expectations Proficient in designing, developing, testing, supporting and deploying of Anaplan Business Planning Models. Strong understanding of comprehensively capturing and documenting customer needs and business strategy and processes Experience in Agile Development Process Ability to comprehensively document user stories and create supporting visuals Proficient with all commonly used syntax and functionalities of Anaplan to build and support complex Anaplan models Understand and implement data model and hierarchies Ability to design UI, dashboards, actions, and workflow. Define and administer user roles and permissions in Anaplan. Designing and developing of testing and maintenance procedures and activities. Create and keep software documentation up to date. Ability to adapt to multiple use cases such as FP&A, S&OP, Workforce Planning, Sales & Quota Planning, ICM and Project Planning Must have successfully contributed in customer facing role for at least in 2 greenfield implementation Ability to perform Project Management role Ability to work under pressure and deliver within tight deadlines Preferred Requirements Motivated learners possessing a professional attitude. Certified Anaplan Model Builder with L1, L2, L3, TAW, and SA certificate. 2-8 years of Anaplan Experience. Successful completion of more than 3 end to end Anaplan implementations will be a plus Strong written and verbal communication skills Ability and desire to be proactive in initiatives and complete the assigned tasks Excellent project management capabilities and leadership skills Prior software implementation and consulting experience of at least 1 - 3 year will be a plus Knowledge of Jira & JQL (Jira Query Language), SQL, Python, BI, Integration, SAP BPC, IBM Cognos TM1, Oracle Hyperion will be added advantage Eligibility Certified Anaplan Model Builder L1, L2, L3, TAW, and SA certificate. B. Engg. / B.Tech / M. Sc. / MCA / Chartered Accountant MBA in Finance / MBA in Operations will be a plus Well versed with advanced MS Excel skills (deep knowledge of formulas, creating automated data frameworks using formulas, power query etc.) Foundational Knowledge on Financial, Supply Chain or Sales Planning Minimum 2 Years of Anaplan Experience Selection Process Interested candidates needs to apply with their detailed resume. Shortlisted candidates will be interviewed through Teams Meet or Call first and then at office in Jaipur / Mumbai / Indore or via Web call. Compensation Compensation to be commensurate with the skill and experience of the candidates. Benefits - Group Health & accidental Insurance for self and immediate dependents - 5 days working - Generous time off & Parental Leaves (Maternity & Paternity Leave) - Various Leaves & Holidays - Hampers & Prizes during various Employee engagement events - Professional Development Opportunities - Opportunity to go abroad (USA, UK, Malaysia, Singapore etc)