114 Interpretability Jobs

Senior Applied & Data scientist Hyderabad, Telangana, India Date posted Jun 16, 2025 Job number 1830452 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. The Defender Experts (DEX) Research team is at the forefront of Microsoft’s threat protection strategy, combining world-class hunting expertise with AI-driven analytics to protect customers from advanced cyberattacks. Our mission is to move protection left—disrupting threats early, before damage occurs—by transforming raw signals into intelligence that powers detection, disruption, and customer trust. We’re looking for a passionate and curious Data Scientist to join this high-impact team. In this role, you'll partner with researchers, hunters, and detection engineers to explore attacker behavior, operationalize entity graphs, and develop statistical and ML-driven models that enhance DEX’s detection efficacy. Your work will directly feed into real-time protections used by thousands of enterprises and shape the future of Microsoft Security. This is an opportunity to work on problems that matter—with cutting-edge data, a highly collaborative team, and the scale of Microsoft behind you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field 6+ years of experience applying data science or machine learning in a real-world setting, preferably in security, fraud, risk, or anomaly detection Proficiency in Python and/or R, with hands-on experience in data manipulation (e.g., Pandas, NumPy), modeling (e.g., scikit-learn, XGBoost), and visualization (e.g., matplotlib, seaborn) Strong foundation in statistics, probability, and applied machine learning techniques Experience working with large-scale datasets, telemetry, or graph-structured data Ability to clearly communicate technical insights and influence cross-disciplinary teams Demonstrated ability to work independently, take ownership of problems, and drive solutions end-to-end Responsibilities Design and develop data-driven models and algorithms to identify emerging attacker behavior, anomalies, and threat patterns at scale Build and operationalize statistical/ML systems that power early-stage detection, disruption scoring, and alert prioritization within DEX workflows Analyze high-dimensional security telemetry (e.g., token usage, entity relationships, campaign data) to derive signal enrichment and protection insights Collaborate closely with security researchers, threat hunters, and engineers to translate hypotheses into deployable detection logic Lead data investigations on false positives, missed threats, or campaign-level attack patterns to inform detection strategy and service improvement Contribute to the design of entity-based graph pipelines and verdict propagation mechanisms for pre-breach signal interpretation Drive experimentation and model explainability to ensure robustness, interpretability, and operational relevance of developed systems Communicate technical findings to cross-functional stakeholders and influence product and detection roadmap decisions Author internal whitepapers, prototypes, or publications to push the boundaries of applied data science in security Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you’ll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express Smart Monitoring is an industry-leading and an award-winning Risk Monitoring/Control Testing platform owned and managed by the Global Risk Compliance and it leverages high technology, automation, and data science to detect, predict and prevent risks. Its patent-pending approach uniquely combines advances in data science and technology (AI, machine learning, cloud computing) to transform risk management. The Smart Monitoring Center of Excellence is a comprised of group of experts that leverage the Smart Monitoring platform to build and manage Key Risk Indicators (KRIs) and Automated Control Tests (ACTs) that monitor risks and detect control failure across AXP, supporting Business Units and Staff Groups, Product Lines and Processes. Smart Monitoring Center of Excellence team supports the businesses with a mission to enable business growth and objectives while maintaining a strong control environment. We are seeking a Data Scientist to join this exciting opportunity to grow Smart Monitoring COE multi-folds. As a member of SM COE, the incumbent will be responsible for identifying opportunities to apply new and innovative ways to monitor risks through KRIs/ACTs and execute appropriate strategies in partnership with Business, OE, Compliance, and other stakeholder teams. Key activities for the role will include: Lead the design and implementation of NLP & GenAI based solutions for real time identification of Key Risk Indicators. Owning the architecture and roadmap of the models and tools from ideation to productionizing Lead a team of data scientists, providing mentorship, performance coaching and technical guidance to build domain depth and deliver excellence Champion governance, interpretability of models from validation point of view Lead R&D efforts to leverage external data (social forums, etc.) to generate insights for operational/compliance risks Provide rigorous analytics solutions to support critical business functions and support machine learning solutions prototyping Collaborate with Model consumers, data Engineers, and all related stakeholders to ensure precise implementation of solutions Qualifications: Masters/PhD in a quantitative field (Computer Science, Statistics, Mathematics, Operation Research, etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques. Strong preference for candidates with 5-6+ years of working experience driving business results Demonstrated ability to frame business problems into machine learning problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solvable solution to deliver business insights and optimal control policy Creativity to go beyond the status-quo to construct and deliver the best solution to the problem, ability and comfort with working independently and making key decisions on projects Deep understanding of machine learning/statistical algorithms such as time series analysis and outlier detection, neural networks/deep learning, boosting and reinforcement learning. Experience with data visualization a plus Expertise in an analytical language (Python, R, or the equivalent), and experience with databases (GCP, SQL, or the equivalent) Prior experience working with Big Data tools and platforms (Hadoop, Spark, or the equivalent) Experience in building NLP solutions and/or GEN AI are strongly preferred Self-motivated with the ability to operate independently and handle multiple workstreams and ad-hoc tasks simultaneously. Team player with strong relationship building, management and influencing skills Strong verbal and written communication skills American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations

We are seeking a data scientist with strong technical expertise in machine learning and statistical analysis to develop and deploy impactful data solutions. The role involves designing and implementing predictive models (e.g., regression, classification, NLP, time series), collaborating with stakeholders to solve business problems, and driving strategic decisions through experimentation and data-driven insights Job Description: Key responsibilities: 1. Modeling & Machine Learning Design and implement robust machine learning solutions (e.g., regression, classification, NLP, time series, recommendation systems). Evaluate and tune models using appropriate metrics (AUC, RMSE, precision/recall, etc.). Work on feature engineering, model interpretability, and performance optimization. 2. Data-Driven Business Strategy Partner with stakeholders to identify key opportunities where data science can drive business value. Translate business problems into data science projects with clearly defined deliverables and success metrics. Provide actionable recommendations based on data analysis and model outputs. 3. Analytics and Experimentation Conduct deep-dive exploratory analysis to uncover trends and insights. Apply statistical methods to test hypotheses, forecast trends, and measure campaign effectiveness Design and analyze A/B tests and other experiments to support product and marketing decisions. Automate data pipelines and dashboards for ongoing monitoring of model and business performance. Technical Skills: Languages: Proficient in Python, MySQL. Libraries/Frameworks: scikit-learn, Pandas, NumPy, Time series, ARIMA, Bayesian model, Market Mix model, Regression, XGBoost, LightGBM, TensorFlow, PyTorch. Statistical Method: Proficient in statistical techniques such as hypothesis testing, regression analysis, time-series analysis Databases : PostgreSQL, BigQuery, MySQL. Visualization: Plotly, Seaborn, Matplotlib. Deployment: Experience in Gitlab, CI/CD pipelines(Good to have). Cloud Platforms: Familiarity with AWS, GCP, or Azure services(Good to have). Location: Chennai Brand: Paragon Time Type: Full time Contract Type: Permanent

About the Role: We are seeking a highly skilled and hands-on GenAI expert to join our team and help shape our AI strategy from the ground up. The ideal candidate will not only bring deep technical knowledge but also a product-first mindset and a passion for delivering value through responsible and efficient AI deployment. This is a high-impact role with the potential to lead and build a team around. Key Responsibilities: Develop and refine GenAI applications leveraging foundation models (LLMs, VLMs) for real-world use cases. Fine-tune foundation models using proprietary and domain-specific data to enhance model relevance and performance. Own the full AI lifecycle including experimentation, evaluation, production readiness, and value realization. Define and track key AI metrics; implement monitoring and feedback loops to measure model effectiveness post-deployment. Apply traditional ML techniques (clustering, classification, vector search) as complementary strategies where appropriate. Build and deploy AI agent frameworks that can autonomously interact with tools, data stores, and other models to solve tasks end-to-end. Collaborate cross-functionally to integrate GenAI systems into existing platforms, ensuring scalability, efficiency, and business alignment. Ask the right questions to iterate, refine, and evolve AI solutions. Qualifications: Proven experience building GenAI-powered applications using LLMs, VLMs, and custom pipelines. Strong knowledge of model fine-tuning techniques and prompt engineering using proprietary data. Practical understanding of AI productization, lifecycle, metrics, and monitoring strategies. Hands-on experience with AI agent frameworks and related orchestration tools. Ability to articulate technical solutions, integration patterns, and tradeoffs effectively. Experience with Python, ML libraries (e.g., Hugging Face, LangChain, PyTorch, TensorFlow), and deployment in cloud environments (AWS, Azure, GCP). Preferred: Experience in a startup or innovation lab environment. Familiarity with vector databases (e.g., Pinecone, FAISS) and retrieval-augmented generation (RAG). Exposure to ethical AI, model interpretability, and responsible deployment practices. Show more Show less

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you’ll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express Smart Monitoring is an industry-leading and an award-winning Risk Monitoring/Control Testing platform owned and managed by the Global Risk Compliance and it leverages high technology, automation, and data science to detect, predict and prevent risks. Its patent-pending approach uniquely combines advances in data science and technology (AI, machine learning, cloud computing) to transform risk management. The Smart Monitoring Center of Excellence is a comprised of group of experts that leverage the Smart Monitoring platform to build and manage Key Risk Indicators (KRIs) and Automated Control Tests (ACTs) that monitor risks and detect control failure across AXP, supporting Business Units and Staff Groups, Product Lines and Processes. Smart Monitoring Center of Excellence team supports the businesses with a mission to enable business growth and objectives while maintaining a strong control environment. We are seeking a Data Scientist to join this exciting opportunity to grow Smart Monitoring COE multi-folds. As a member of SM COE, the incumbent will be responsible for identifying opportunities to apply new and innovative ways to monitor risks through KRIs/ACTs and execute appropriate strategies in partnership with Business, OE, Compliance, and other stakeholder teams. Key activities for the role will include: Lead the design and implementation of NLP & GenAI based solutions for real time identification of Key Risk Indicators. Owning the architecture and roadmap of the models and tools from ideation to productionizing Lead a team of data scientists, providing mentorship, performance coaching and technical guidance to build domain depth and deliver excellence Champion governance, interpretability of models from validation point of view Lead R&D efforts to leverage external data (social forums, etc.) to generate insights for operational/compliance risks Provide rigorous analytics solutions to support critical business functions and support machine learning solutions prototyping Collaborate with Model consumers, data Engineers, and all related stakeholders to ensure precise implementation of solutions Qualifications: · Masters/PhD in a quantitative field (Computer Science, Statistics, Mathematics, Operation Research, etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques. Strong preference for candidates with 5-6+ years of working experience driving business results · Demonstrated ability to frame business problems into machine learning problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solvable solution to deliver business insights and optimal control policy · Creativity to go beyond the status-quo to construct and deliver the best solution to the problem, ability and comfort with working independently and making key decisions on projects · Deep understanding of machine learning/statistical algorithms such as time series analysis and outlier detection, neural networks/deep learning, boosting and reinforcement learning. Experience with data visualization a plus · Expertise in an analytical language (Python, R, or the equivalent), and experience with databases (GCP, SQL, or the equivalent) · Prior experience working with Big Data tools and platforms (Hadoop, Spark, or the equivalent) · Experience in building NLP solutions and/or GEN AI are strongly preferred · Self-motivated with the ability to operate independently and handle multiple workstreams and ad-hoc tasks simultaneously. · Team player with strong relationship building, management and influencing skills · Strong verbal and written communication skills American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations Show more Show less

We are seeking a data scientist with strong technical expertise in machine learning and statistical analysis to develop and deploy impactful data solutions. The role involves designing and implementing predictive models (e.g., regression, classification, NLP, time series), collaborating with stakeholders to solve business problems, and driving strategic decisions through experimentation and data-driven insights Job Description: Key responsibilities: Modeling & Machine Learning Design and implement robust machine learning solutions (e.g., regression, classification, NLP, time series, recommendation systems). Evaluate and tune models using appropriate metrics (AUC, RMSE, precision/recall, etc.). Work on feature engineering, model interpretability, and performance optimization. Data-Driven Business Strategy Partner with stakeholders to identify key opportunities where data science can drive business value. Translate business problems into data science projects with clearly defined deliverables and success metrics. Provide actionable recommendations based on data analysis and model outputs. Analytics and Experimentation Conduct deep-dive exploratory analysis to uncover trends and insights. Apply statistical methods to test hypotheses, forecast trends, and measure campaign effectiveness Design and analyze A/B tests and other experiments to support product and marketing decisions. Automate data pipelines and dashboards for ongoing monitoring of model and business performance. Technical Skills: Languages: Proficient in Python, MySQL. Libraries/Frameworks: scikit-learn, Pandas, NumPy, Time series, ARIMA, Bayesian model, Market Mix model, Regression, XGBoost, LightGBM, TensorFlow, PyTorch. Statistical Method: Proficient in statistical techniques such as hypothesis testing, regression analysis, time-series analysis Databases : PostgreSQL, BigQuery, MySQL. Visualization: Plotly, Seaborn, Matplotlib. Deployment: Experience in Gitlab, CI/CD pipelines(Good to have). Cloud Platforms: Familiarity with AWS, GCP, or Azure services(Good to have). Location: Chennai Brand: Paragon Time Type: Full time Contract Type: Permanent Show more Show less

At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world. A Day in the Life As a Data Scientist, where you will develop and deploy machine learning models, conduct advanced analytics, and translate data-driven insights into business value. You will work closely with Finance, Engineering, and Business teams to drive data science initiatives and enhance decision-making. Data Scientist – Global Finance Analytics COE Careers that Change Lives Join our Global Finance Analytics Center of Excellence (COE) as a Data Scientist , where you will develop and deploy machine learning models, conduct advanced analytics, and translate data-driven insights into business value. You will work closely with Finance, Engineering, and Business teams to drive data science initiatives and enhance decision-making. This role requires an average of 2-3 days per week of overlapping work hours with the USA team to ensure seamless collaboration. A Day in the Life As a Data Scientist , you will: Develop and deploy AI/ML models for forecasting, anomaly detection, and optimization in financial and business analytics. Work with structured and unstructured data, ensuring data quality, feature engineering, and model interpretability. Collaborate with Data Engineers to build scalable data pipelines and integrate machine learning solutions into production systems. Perform exploratory data analysis (EDA) and statistical modeling to uncover insights and trends. Optimize algorithms for performance, scalability, and business relevance. Present complex findings in an understandable and actionable manner to senior stakeholders. Continuously explore new AI/ML methodologies and tools to enhance analytical capabilities. Must Have: Minimum Requirements Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. 5+ years of experience in AI/ML, predictive modeling, and statistical analysis. Strong proficiency in Python, SQL, and cloud platforms (Azure, AWS, or GCP). Experience with machine learning frameworks such as TensorFlow, Scikit-Learn, PyTorch, or XGBoost. Exposure to financial data modeling and analytics. Strong problem-solving and critical-thinking skills. Nice to Have Experience working with Snowflake and large-scale data environments. Knowledge of NLP, deep learning, and AI-driven automation. Familiarity with Power BI for advanced data visualization. Physical Job Requirements The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. Benefits & Compensation Medtronic offers a competitive Salary and flexible Benefits Package A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage. About Medtronic We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions. Our Mission — to alleviate pain, restore health, and extend life — unites a global team of 95,000+ passionate people. We are engineers at heart— putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary. Learn more about our business, mission, and our commitment to diversity here Show more Show less

Senior Applied & Data scientist Hyderabad, Telangana, India Date posted Jun 16, 2025 Job number 1830452 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. The Defender Experts (DEX) Research team is at the forefront of Microsoft’s threat protection strategy, combining world-class hunting expertise with AI-driven analytics to protect customers from advanced cyberattacks. Our mission is to move protection left—disrupting threats early, before damage occurs—by transforming raw signals into intelligence that powers detection, disruption, and customer trust. We’re looking for a passionate and curious Data Scientist to join this high-impact team. In this role, you'll partner with researchers, hunters, and detection engineers to explore attacker behavior, operationalize entity graphs, and develop statistical and ML-driven models that enhance DEX’s detection efficacy. Your work will directly feed into real-time protections used by thousands of enterprises and shape the future of Microsoft Security. This is an opportunity to work on problems that matter—with cutting-edge data, a highly collaborative team, and the scale of Microsoft behind you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field 6+ years of experience applying data science or machine learning in a real-world setting, preferably in security, fraud, risk, or anomaly detection Proficiency in Python and/or R, with hands-on experience in data manipulation (e.g., Pandas, NumPy), modeling (e.g., scikit-learn, XGBoost), and visualization (e.g., matplotlib, seaborn) Strong foundation in statistics, probability, and applied machine learning techniques Experience working with large-scale datasets, telemetry, or graph-structured data Ability to clearly communicate technical insights and influence cross-disciplinary teams Demonstrated ability to work independently, take ownership of problems, and drive solutions end-to-end Responsibilities Design and develop data-driven models and algorithms to identify emerging attacker behavior, anomalies, and threat patterns at scale Build and operationalize statistical/ML systems that power early-stage detection, disruption scoring, and alert prioritization within DEX workflows Analyze high-dimensional security telemetry (e.g., token usage, entity relationships, campaign data) to derive signal enrichment and protection insights Collaborate closely with security researchers, threat hunters, and engineers to translate hypotheses into deployable detection logic Lead data investigations on false positives, missed threats, or campaign-level attack patterns to inform detection strategy and service improvement Contribute to the design of entity-based graph pipelines and verdict propagation mechanisms for pre-breach signal interpretation Drive experimentation and model explainability to ensure robustness, interpretability, and operational relevance of developed systems Communicate technical findings to cross-functional stakeholders and influence product and detection roadmap decisions Author internal whitepapers, prototypes, or publications to push the boundaries of applied data science in security Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Company Profile Our client is a global IT services company that helps businesses with digital transformation with offices in India and the United States. It helps businesses with digital transformation, provide IT collaborations and uses technology, innovation, and enterprise to have a positive impact on the world of business. With expertise is in the fields of Data, IoT, AI, Cloud Infrastructure and SAP, it helps accelerate digital transformation through key practice areas - IT staffing on demand, innovation and growth by focusing on cost and problem solving. Location & work – New Delhi (On-Site), WFO Employment Type - Full Time Profile – AI/ML Engineer Preferred experience – 3-5 Years The Role: We are seeking a highly skilled AI/ML Engineer with strong expertise in traditional statistical modeling using R and end-to-end ML pipeline configuration on Databricks. The ideal candidate will play a key role in designing, developing, and deploying advanced machine learning models, optimizing performance, and ensuring scalability across large datasets on the Databricks platform. Responsibilities: Design and implement traditional ML models using R (e.g., regression, classification, clustering, time-series). Develop and maintain scalable machine learning pipelines on Databricks. Configure and manage Databricks workspaces, clusters, and MLflow integrations for model versioning and deployment. Collaborate with data engineers, analysts, and domain experts to collect, clean, and prepare data. Optimize models for performance, interpretability, and business impact. Automate data workflows and model retraining pipelines using Databricks notebooks and job scheduling. Monitor model performance in production and implement enhancements as needed. Ensure model explainability, compliance, and reproducibility in production environments. Must-Have Qualifications Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. Minimum 3+ years of experience in machine learning and data science roles. Strong proficiency in R for statistical modeling and traditional ML techniques. Hands-on experience with Databricks: cluster configuration, workspace management, notebook workflows, and performance tuning. Experience with MLflow, Delta Lake, and PySpark (optional but preferred). Strong understanding of MLOps practices, model lifecycle management, and CI/CD for ML. Familiarity with cloud platforms such as Azure Databricks, AWS, or GCP. Preferred Qualification: Certification in Databricks or relevant ML/AI platforms is a plus. Excellent problem-solving and communication skills. Application Method Apply online on this portal or on email at careers@speedmart.co.in Show more Show less

Organizational Context: Company Name- CIMET CIMET - A Comparison Software Leader Website- www.cimet.com.au Product Link - https://www.econnex.com.au/ LinkedIn- https://www.linkedin.com/company/cimet/about CIMET provides end-to-end comparison and signup of energy, telecommunication, credit cards and other products plans through its online solution in a B2B and B2C environment. It presently caters to more than 40+ Utilities and Financial Service providers and has over 200+ partners. The online comparison market is extremely crowded in Australia, with most comparators providing a light touch directory solution. CIMET saw this as an opportunity and developed a fully integrated online comparison and signup platform. On 15 March 2022, CIMET partnered with iSelect who acquired a 49% stake in CIMET Holdings. Going forward, CIMET will use this investment from iSelect to expand into new products including Credit Cards, Home loans, Car loans, Personal loans, Life Insurance, Health Insurance, Pet Insurance among others. CIMET today has around 200+ team members, across Australia, India and Philippines and will double over the next 2 years. Purpose Of The Position: We are looking for a highly experienced Senior Data Scientist with a deep understanding of AI/ML technologies, including Recommendation Systems, Chatbots, Generative AI, and Large Language Models (LLMs). The ideal candidate will have hands-on experience in applying these technologies to solve real-world problems, working with large datasets, and collaborating with cross-functional teams to deliver innovative data-driven solutions.. Key Responsibilities : · Design, develop, and optimize recommendation systems to enhance user experience and engagement across platforms. · Build and deploy chatbots with advanced NLP capabilities for automating customer interactions and improving business processes. · Lead the development of Generative AI solutions, including content generation and automation. · Research and apply Large Language Models (LLMs) like GPT, BERT, and others to solve business-specific problems and create innovative solutions. · Collaborate with engineering teams to integrate machine learning models into production systems, ensuring scalability and reliability. · Perform data exploration, analysis, and feature engineering to improve model performance. · Stay updated on the latest advancements in AI and ML technologies, proposing new techniques and tools to enhance our product capabilities. · Mentor junior data scientists and engineers, providing guidance on best practices in AI/ML model development and deployment. · Collaborate with product managers and business stakeholders to translate business goals into AI-driven solutions. · Work on model interpretability, explainability, and ensure models are built in an ethical and responsible manner. Required Skills And Qualifications: · 5+ years of experience in data science or machine learning, with a focus on building and deploying AI models. · Strong expertise in designing and developing recommendation systems and working with collaborative filtering, matrix factorization, and content-based filtering techniques. · Hands-on experience with chatbots using Natural Language Processing (NLP) and conversational AI frameworks. · In-depth understanding of Generative AI, including transformer-based models and GANs (Generative Adversarial Networks). · Experience working with Large Language Models (LLMs) such as GPT, BERT, T5, etc. · Proficiency in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn. · Strong programming skills in Python and libraries such as NumPy, Pandas, Hugging Face, and NLTK. · Experience with cloud platforms like AWS, GCP, or Azure for deploying and scaling machine learning models. · Solid understanding of data pipelines, ETL processes, and working with large datasets using SQL or NoSQL databases. · Knowledge of MLOps and experience deploying models in production environments. · Strong problem-solving skills and a deep understanding of statistical methods and algorithms. Preferred Qualifications: · Experience with Reinforcement Learning and Recommender Systems personalization techniques. · Experience of working with AWS Bedrock services. · Familiarity with ethical AI and model bias mitigation techniques. · Experience with A/B testing, experimentation, and performance tracking for AI models in production. · Prior experience mentoring junior data scientists and leading AI/ML projects. · Strong communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders. Why Join Us? • Opportunity to be part of a rapidly growing, innovative product-based company. • Collaborate with a talented, driven team focused on building high-quality software solutions. • Competitive compensation and benefits package. Show more Show less

Job Description: Join our team as a Generative AI Architect in the AI Practice! We are looking for a visionary individual to lead the design, development, and deployment of cutting-edge Generative AI solutions, driving business value across our products and services. Key Responsibilities: Lead generative AI initiatives in text, ASR, TTS & STT generation and develop AI pipelines and ML models. Design scalable AI systems using state-of-the-art generative models like LLMs and diffusion models. Collaborate with cross-functional teams to integrate generative AI into business workflows. Define best practices for model lifecycle management, focusing on data preparation, training, evaluation, deployment, and monitoring. - Guide ethical AI development with a focus on fairness, interpretability, and compliance. Qualifications: Bachelor’s or Master’s degree in Computer Science or related field. 7+ years of AI/ML development experience, with 2+ years in generative AI. Hands-on experience with large language models and diffusion models. Strong proficiency in Python and ML frameworks. Experience with Azure, GCP, and containerization. Familiarity with AI architecture patterns and model fine-tuning. Knowledge of data privacy laws and AI ethics principles. Preferred: Experience deploying GenAI applications in production. Knowledge of vector databases and retrieval-augmented generation. Experience with CI/CD pipelines for ML. Show more Show less

We are looking for a skilled LLM / GenAI Expert who can drive innovative AI/ML solutions, and spearhead the development of advanced GenAI-powered applications. The ideal candidate will be a strong Python programmer with deep, hands-on experience in Large Language Models (LLMs), prompt engineering, and GenAI tools and frameworks. This role requires not only technical proficiency but also excellent communication skills and the ability to guide and upskill junior team members. Exposure to cutting-edge concepts like multi-agent collaboration, Memory-Context-Planning (MCP), and agent-to-agent workflows is highly desirable. Job Responsibilities: Lead the design and development of GenAI/LLM-based products and solutions. Mentor and support junior engineers in understanding and implementing GenAI/LLM techniques. Work on fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation), and custom LLM workflows. Integrate LLMs into production systems using Python and frameworks like LangChain, LlamaIndex, Transformers, etc. Explore and apply advanced GenAI paradigms such as MCP, agent2agent collaboration, and autonomous agents. Research, prototype, and implement new ideas and stay current with state-of-the-art GenAI trends. Collaborate closely with product, design, and engineering teams to align LLM use cases with business goals. Requirements: 4+ years of total software development experience with a strong foundation in Python. 2–3+ years of hands-on experience working with GenAI / LLMs, including real-world implementation and deployment. Deep familiarity with models like GPT-4, Claude, Mistral, LLaMA, etc. Strong understanding of prompt engineering, LLM fine-tuning, tokenization, and embedding-based search. Experience with Hugging Face, LangChain, OpenAI API, and vector databases (Pinecone, FAISS, Chroma). Exposure to agent frameworks and multi-agent orchestration. Excellent written and verbal communication skills. Proven ability to lead and mentor team members on technical and architectural decisions. Experience with cloud platforms (AWS/GCP/Azure) for deploying LLMs at scale. Knowledge of ethical AI practices, bias mitigation, and model interpretability. Background in machine learning, natural language processing (NLP), or AI research. Publications or contributions to open-source LLM projects are a plus. Benefits: Competitive Compensation and Benefits Half Yearly Appraisals Friendly Environment Work-life Balance 5 days working Flexible office timings Employee-friendly leave policies Work from Home (with prior approvals) Show more Show less

About the Open Position Join us as Cloud Engineer at Dailoqa , where you will be responsible for operationalizing cutting-edge machine learning and generative AI solutions, ensuring scalable, secure, and efficient deployment across infrastructure. You will work closely with data scientists, ML engineers, and business stakeholders to build and maintain robust MLOps pipelines, enabling rapid experimentation and reliable production implementation of AI models, including LLMs and real-time analytics systems. To be successful as Cloud Engineer you should have experience with: Cloud sourcing, networks, VMs, performance, scaling, availability, storage, security, access management Deep expertise in one or more cloud platforms: AWS, Azure, GCP Strong experience in containerization and orchestration (Docker, Kubernetes, Helm) Familiarity with CI/CD tools: GitHub Actions, Jenkins, Azure DevOps, ArgoCD, etc. Proficiency in scripting languages (Python, Bash, PowerShell) Knowledge of MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML Strong understanding of DevOps principles applied to ML workflows. Key Responsibilities may include: · Design and implement scalable, cost-optimized, and secure infrastructure for AI-driven platforms. · Implement infrastructure as code using tools like Terraform, ARM, or Cloud Formation. · Automate infrastructure provisioning, CI/CD pipelines, and model deployment workflows. · Ensure version control, repeatability, and compliance across all infrastructure components. · Set up monitoring, logging, and alerting frameworks using tools like Prometheus, Grafana, ELK, or Azure Monitor. · Optimize performance and resource utilization of AI workloads including GPU-based training/inference Experience with Snowflake, Databricks for collaborative ML development and scalable data processing. Understanding model interpretability, responsible AI, and governance. Contributions to open-source MLOps tools or communities. Strong leadership, communication, and cross-functional collaboration skills. Knowledge of data privacy, model governance, and regulatory compliance in AI systems. Exposure to LangChain, Vector DBs (e. g. , FAISS, Pinecone), and retrieval-augmented generation (RAG) pipelines. Show more Show less

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. The mission of the Platform Product Group engineers is to build a trusted, scalable and compliant platform to operate with speed, efficiency and quality. Our teams build and maintain the platforms critical to the existence of Coinbase. There are many teams that make up this group which include Product Foundations (i.e. Identity, Payment, Risk, Proofing & Regulatory, Finhub), Machine Learning, Customer Experience, and Infrastructure. As a machine learning engineer, you will play a pivotal role in constructing essential infrastructure for the open financial system. This involves harnessing diverse and extensive data sources, including the blockchain, to grant millions of individuals access to cryptocurrency while simultaneously identifying and thwarting malicious entities. Your impact extends beyond safeguarding Coinbase, as you'll have the opportunity to employ machine learning to enhance the overall user experience. This includes imbuing intelligence into recommendations, risk assessment, chatbots, and various other aspects, making our product not only secure but also exceptionally user-friendly. What you’ll be doing (ie. job duties): Investigate and harness cutting-edge machine learning methodologies, including deep learning, large language models (LLMs), and graph neural networks, to address diverse challenges throughout the company. These challenges encompass areas such as fraud detection, feed ranking, recommendation systems, targeting, chatbots, and blockchain mining. Develop and deploy robust, low-maintenance applied machine learning solutions in a production environment. Create onboarding codelabs, tools, and infrastructure to democratize access to machine learning resources across Coinbase, fostering a culture of widespread ML utilization. What we look for in you (ie. job requirements): 5+yrs of industry experience as a machine learning and software engineer Experience building backend systems at scale with a focus on data processing/machine learning/analytics. Experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc. Working knowledge in one or more of the following: data mining, information retrieval, advanced statistics or natural language processing, computer vision. Exhibit our core cultural values: add positive energy, communicate clearly, be curious, and be a builder. Nice to haves: BS, MS, PhD degree in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field. Knowledge of Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, Hadoop, Hive. Experience with Python. Experience with model interpretability, responsible AI. Experience with data analysis and visualization. Job #: GPML05IN *Answers to crypto-related questions may be used to evaluate your onchain experience. Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Know Your Rights notice here . Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here) . Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here. Show more Show less

Job Description: Join our pioneering team at BuzzBoard, a recognized first-mover in enterprise generative AI, as a Team Lead of Generative AI and LLM. We've already deployed production GenAI systems generating thousands of posts and content pieces monthly across our ecosystem. You'll lead the charge in scaling our mature AI infrastructure while architecting next-generation applications. As a key leader in our Product Team, you'll orchestrate collaboration between Data Engineering, Software Engineering, and AI Operations teams while expanding our proven generative AI innovations. Key Responsibilities: Strategic Leadership & Vision Lead and mentor a team of GenAI engineers and researchers within our mature AI ecosystem Scale our proven production AI systems generating thousands of content pieces monthly across multiple business verticals Define generative AI strategy and roadmap building upon our established first-mover advantage Drive adoption of multimodal AI systems incorporating vision, audio, and text capabilities Contribute and own the GenAI governance frameworks and best practices Advanced AI Development Architect and scale sophisticated generative AI systems building upon our established multi-LLM infrastructure (GPT-4o, Claude Sonnet, Gemini, O1) Optimize our proven tech stack including LangChain, CrewAI, LangGraph, and vector databases (Chroma) Implement advanced RAG, fine-tuning, and prompt engineering across our existing model inventory Lead development of next-generation agentic AI systems with tool use, reasoning capabilities, and autonomous decision-making Enhance our multi-agent orchestration platforms and complex workflow automation Technology Leadership Drive adoption of agentic AI frameworks including LangGraph, CrewAI, AutoGen, and Microsoft Semantic Kernel Lead implementation of multi-agent orchestration platforms and autonomous decision-making systems Oversee vector databases (Pinecone, Weaviate, Chroma) and semantic search systems Lead integration of AI observability and monitoring tools (LangSmith, Weights & Biases, MLflow) Champion AI development platforms and low-code/no-code solutions Enterprise Integration & Scaling Scale our mature AI infrastructure supporting thousands of monthly content generations across multiple business verticals Enhance our proven MLOps and LLMOps practices for continuous model deployment and performance monitoring Drive technical collaboration for seamless AI integration into established production systems Optimize edge AI capabilities and multi-environment deployment strategies Enhance our performance tracking framework including regression testing, edit ratio tracking, and analytics integration Skills and Qualifications: Core Technical Expertise Deep expertise in generative AI systems, large language models, and transformer architectures with proven production experience Expert proficiency in our established tech stack: LangChain, CrewAI, LangGraph, AutoGen, and multi-LLM orchestration Hands-on experience with our model ecosystem: OpenAI GPT, Anthropic, Google, and vector databases Extensive experience with agentic AI frameworks and autonomous workflow orchestration in production environments Hands-on with programming skills in Python with experience in FastAPI, Streamlit, and modern web frameworks Expert-level understanding of prompt engineering, fine-tuning techniques, and model optimization at scale AI Architecture & Operations Experience with vector databases, embedding models, and semantic search implementations Proficiency in containerization (Docker, Kubernetes) and cloud-native AI deployments Knowledge of AI model serving platforms (vLLM, TensorRT-LLM, Ollama) and inference optimization Understanding of AI safety, alignment, and responsible AI development practices Technical Leadership (Individual Contributor Focus) Experience providing technical guidance to engineering teams in fast-paced environments Experience with AI product development lifecycle and technical go-to-market strategies Strong technical communication and ability to explain AI concepts to technical and non-technical audiences Knowledge of AI regulation landscape and compliance requirements Modern AI Ecosystem Familiarity with AI agent frameworks (LangGraph, CrewAI, Microsoft Semantic Kernel) - REQUIRED Experience with compound AI systems and multi-step reasoning architectures - REQUIRED Experience with multimodal AI systems and computer vision integration Understanding of federated learning and privacy-preserving AI techniques Knowledge of AI model evaluation frameworks and benchmarking methodologies Advanced Qualifications: Agentic AI Mastery (Required) Extensive hands-on experience building and deploying agentic AI systems in production environments Deep understanding of tool-calling, function-calling, and API integration within agent workflows Proven track record with multi-agent collaboration patterns and complex reasoning chains Expertise in agent memory systems, context management, and state persistence across interactions Industry Integration Experience scaling production GenAI systems with proven track record of generating thousands of content pieces monthly Knowledge of multi-LLM orchestration and model switching strategies for optimal performance and cost efficiency Understanding of content generation workflows across social media, marketing, and business communications Familiarity with performance monitoring frameworks including regression testing and analytics dashboard integration Research & Innovation Experience with AI model interpretability and explainable AI techniques Knowledge of quantum-classical hybrid AI approaches and emerging paradigms Technical Excellence Advanced degree in Computer Science, AI, or related field (preferred) Experience building and scaling AI teams in fast-paced environments (preferred) Experience with AI ethics committees and responsible AI governance (preferred) Proven ability to drive digital transformation through AI adoption (preferred) Lead the future of GenAI innovation at BuzzBoard, where your expertise will build upon our established success in production generative AI systems. Join a first-mover organization that has already proven the enterprise value of GenAI at scale, generating thousands of content pieces monthly. Your role as Team Lead of Generative AI and LLM will position you to expand our proven AI ecosystem while defining the next generation of agentic AI solutions that drive measurable business impact. Powered by JazzHR 12dkkTUOj7 Show more Show less

Job Description Job Title: Data Scientist Location: Mumbai & Bangalore Job Type: Full Time About The Role We are seeking an experienced Data Scientist to lead and deliver complex data-driven solutions. With over 8 years in the field, the ideal candidate has a strong background in statistical modelling, machine learning, and business problem-solving. You will collaborate with cross-functional teams to drive decision-making and improve performance across the organization. Key Responsibilities Lead end-to-end data science projects from problem definition through model deployment and monitoring. Develop and implement advanced machine learning models, including supervised, unsupervised, and deep learning approaches. Translate complex business challenges into data science problems and communicate insights to stakeholders clearly and effectively. Collaborate with data engineers, analysts, product managers, and domain experts to build robust data pipelines and models. Mentor junior data scientists and provide technical leadership within the team. Conduct exploratory data analysis and feature engineering using large, complex datasets. Optimize models for performance, scalability, and interpretability. Stay current with the latest research, tools, and best practices in data science and machine learning. Required Qualifications 8+ years of experience in data science, machine learning. Degree in Computer Science, Statistics, Applied Mathematics, Engineering, or a related field. Strong proficiency in Python, SQL & Market Analytics. Experience with AWS cloud platform. Skills Required RoleData Engineer-Data Scientist Industry TypeITES/BPO/KPO Functional AreaIT-Software Required Education Graduation Employment TypeFull Time, Permanent Key Skills DATA SCIENTIST MACHINE LEARNING PYHTON SQL Other Information Job CodeGO/JC/201/2025 Recruiter NamePriya Srinivasan Show more Show less

Job Description Job Title: Data Scientist Location: Mumbai & Bangalore Job Type: Full Time About The Role We are seeking an experienced Data Scientist to lead and deliver complex data-driven solutions. With over 8 years in the field, the ideal candidate has a strong background in statistical modelling, machine learning, and business problem-solving. You will collaborate with cross-functional teams to drive decision-making and improve performance across the organization. Key Responsibilities Lead end-to-end data science projects from problem definition through model deployment and monitoring. Develop and implement advanced machine learning models, including supervised, unsupervised, and deep learning approaches. Translate complex business challenges into data science problems and communicate insights to stakeholders clearly and effectively. Collaborate with data engineers, analysts, product managers, and domain experts to build robust data pipelines and models. Mentor junior data scientists and provide technical leadership within the team. Conduct exploratory data analysis and feature engineering using large, complex datasets. Optimize models for performance, scalability, and interpretability. Stay current with the latest research, tools, and best practices in data science and machine learning. Required Qualifications 8+ years of experience in data science, machine learning. Degree in Computer Science, Statistics, Applied Mathematics, Engineering, or a related field. Strong proficiency in Python, SQL & Market Analytics. Experience with AWS cloud platform. Skills Required RoleData Engineer-Data Scientist Industry TypeITES/BPO/KPO Functional AreaIT-Software Required Education Graduation Employment TypeFull Time, Permanent Key Skills DATA SCIENTIST MACHINE LEARNING PYHTON SQL Other Information Job CodeGO/JC/201/2025 Recruiter NamePriya Srinivasan Show more Show less

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role Anheuser-Busch InBev (AB InBev)’s Supply Analytics is responsible for building competitive differentiated solutions that enhance brewery efficiency through data-driven insights. We optimize processes, reduce waste, and improve productivity by leveraging advanced analytics and AI-driven solutions. As a Data Scientist you will work at the intersection of Conceptualize the analytical solution for the business problem by implementing statistical models and programming techniques. Application of machine learning solutions. Best in class cloud technology & micro-services architecture. Use DevOps best practices that include model serving, data & code versioning. Key tasks & accountabilities Develop and fine-tune Gen AI models to solve business problems, leveraging LLMs, and other advanced AI techniques. Design, implement, and optimize AI-driven solutions that enhance automation, efficiency, and decision-making. Work with cloud-based architectures to deploy and scale AI models efficiently using best-in-class microservices. Apply DevOps and MLOps best practices for model serving, data and code versioning, and continuous integration/deployment. Collaborate with cross-functional teams (engineering, business, and product teams) to translate business needs into AI-driven solutions. Ensure model interpretability, reliability, and performance, continuously improving accuracy and reducing biases. Develop internal tools and utilities to enhance the productivity of the team and streamline workflows. Maintain best coding practices, including proper documentation, testing, logging, and performance monitoring. Stay up to date with the latest advancements in Gen AI, LLMs, and deep learning to incorporate innovative approaches into projects. Qualifications, Experience, Skills Level Of Educational Attainment Required Academic degree in, but not limited to, Bachelors or master's in computer application, Computer science, or any engineering discipline. Previous Work Experience Minimum 3 years of relevant experience. Technical Skills Required Programming Languages: Proficiency in Python. Mathematics and Statistics: Strong understanding of linear algebra, calculus, probability, and statistics. Machine Learning Algorithms: Knowledge of supervised, unsupervised, and reinforcement learning techniques. Natural Language Processing (NLP): Understanding of techniques such as tokenization, POS tagging, named entity recognition, and machine translation. LLMs: Experience with Langchain, inferring from LLMs and fine tuning LLMs for specific tasks, Prompt Engineering. Data Preprocessing: Skills in data cleaning, normalization, augmentation, and handling imbalanced datasets. Database Management: Experience with SQL and NoSQL databases like MongoDB and Redis. Cloud Platforms: Familiarity with Azure and Google Cloud Platform. DevOps: Knowledge of CI/CD pipelines, Docker, Kubernetes. Other Skills Required APIs: Experience with FastAPI or Flask. Software Development: Understanding of software development lifecycle (SDLC) and Agile methodologies. And above all of this, an undying love for beer! We dream big to create future with more cheers. Show more Show less

Compelling Opportunity for ML Engineer with Innovative Entity in Insurance Industry Employment | Immediate Location: Hyderabad, India Reporting Manager: Head of Analytics Work Pattern: Full Time, 5 days in the office Minimum Experience as a ML Engineer : 3 to 5 years Position Overview: The Innovative Entity in Insurance Industry is seeking an experienced Machine Learning Engineer with 3 to 5 years of hands-on experience in designing, developing, and deploying machine learning models and systems. The ideal candidate will work closely with data scientists, software engineers, and product teams to create solutions that drive business value. You will be responsible for building scalable and efficient machine learning pipelines, optimizing model performance, and integrating models into production environments. Key Responsibilities: · Model Development & Training: Develop and train machine learning models, including supervised, unsupervised, and deep learning algorithms, to solve business problems. · Data Preparation: Collaborate with data engineers to clean, preprocess, and transform raw data into usable formats for model training and evaluation. · Model Deployment & Monitoring: Deploy machine learning models into production environments, ensuring seamless integration with existing systems and monitoring model performance. · Feature Engineering: Create and test new features to improve model performance, and optimize feature selection to reduce model complexity. · Algorithm Optimization: Research and implement state-of-the-art algorithms to improve model accuracy, efficiency, and scalability. · Collaborative Development: Work closely with data scientists, engineers, and other stakeholders to understand business requirements, develop ML models, and integrate them into products and services. · Model Evaluation: Conduct model evaluation using statistical tests, cross-validation, and A/B testing to ensure reliability and generalizability. · Documentation & Reporting: Maintain thorough documentation of processes, models, and systems. Provide insights and recommendations based on model results to stakeholders. · Code Reviews & Best Practices: Participate in peer code reviews, and ensure adherence to coding best practices, including version control (Git), testing, and continuous integration. · Stay Updated on Industry Trends: Keep abreast of new techniques and advancements in the field of machine learning, and suggest improvements for internal processes and models. Required Skills & Qualifications · Education : Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field. · Experience: 3 to 5 years of hands-on experience working as a machine learning engineer or in a related role. · Programming Languages: Proficiency in Python (preferred), R, or Java. Experience with ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. · Data Manipulation: Strong knowledge of SQL and experience working with large datasets (e.g., using tools like Pandas, NumPy, Spark). · Cloud Services: Experience with cloud platforms like AWS, Google Cloud, or Azure, particularly with ML services such as SageMaker or AI Platform. · Model Deployment: Hands-on experience with deploying ML models using Docker, Kubernetes, and CI/CD pipelines. · Problem-Solving Skills: Strong analytical and problem-solving skills with the ability to understand complex data problems and implement effective solutions. · Mathematics and Statistics: A solid foundation in mathematical concepts related to ML, such as linear algebra, probability, statistics, and optimization techniques. · Communication Skills: Strong verbal and written communication skills to collaborate effectively with cross-functional teams and stakeholders. Preferred Qualifications: · Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). · Exposure to natural language processing (NLP), computer vision, or recommendation systems. · Familiarity with version control systems (e.g., Git) and collaborative workflows. · Experience with model interpretability and fairness techniques. · Familiarity with big data tools (e.g., Hadoop, Spark, Kafka). Screening Criteria · Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field. · 3 to 5 years of hands-on experience working as a machine learning engineer or in a related role. · Proficiency in Python · Experience with ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. · Strong knowledge of SQL · Experience working with large datasets (e.g., using tools like Pandas, NumPy, Spark). · Experience with cloud platforms like AWS, Google Cloud, or Azure, particularly with ML services such as SageMaker or AI Platform · Hands-on experience with deploying ML models using Docker, Kubernetes, and CI/CD pipelines · A solid foundation in mathematical concepts related to ML, such as linear algebra, probability, statistics, and optimization techniques. · Available to work from office in Hyderabad · Available to join within 30 days Considerations · Location – Hyderabad · Working from office · 5 day working Evaluation Process Round 1 – HR Round Round 2 & 3 – Technical Round Round 4 – Discussion with CEO Interested Profiles, Kindly Apply Note o Additional inputs to be gathered from the candidate to put together the application Show more Show less

Job Description We are looking for a highly experienced Senior Data Scientist with a deep understanding of AI/ML technologies, including Recommendation Systems, Chatbots, Generative AI, and Large Language Models (LLMs). The ideal candidate will have hands-on experience in applying these technologies to solve real-world problems, working with large datasets, and collaborating with cross-functional teams to deliver innovative data-driven solutions. Responsibilities Design, develop, and optimize recommendation systems to enhance user experience and engagement across platforms. Build and deploy chatbots with advanced NLP capabilities for automating customer interactions and improving business processes. Lead the development of Generative AI solutions, including content generation and automation. Research and apply Large Language Models (LLMs) like GPT, BERT, and others to solve business-specific problems and create innovative solutions. Collaborate with engineering teams to integrate machine learning models into production systems, ensuring scalability and reliability. Perform data exploration, analysis, and feature engineering to improve model performance. Stay updated on the latest advancements in AI and ML technologies, proposing new techniques and tools to enhance our product capabilities. Mentor junior data scientists and engineers, providing guidance on best practices in AI/ML model development and deployment. Collaborate with product managers and business stakeholders to translate business goals into AI-driven solutions. Work on model interpretability, explainability, and ensure models are built in an ethical and responsible manner. Required Skills And Qualifications 5+ years of experience in data science or machine learning, with a focus on building and deploying AI models. Strong expertise in designing and developing recommendation systems and working with collaborative filtering, matrix factorization, and content-based filtering techniques. Hands-on experience with chatbots using Natural Language Processing (NLP) and conversational AI frameworks. In-depth understanding of Generative AI, including transformer-based models and GANs (Generative Adversarial Networks). Experience working with Large Language Models (LLMs) such as GPT, BERT, T5, etc. Proficiency in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn. Strong programming skills in Python and libraries such as NumPy, Pandas, Hugging Face, and NLTK. Experience with cloud platforms like AWS, GCP, or Azure for deploying and scaling machine learning models. Solid understanding of data pipelines, ETL processes, and working with large datasets using SQL or NoSQL databases. Knowledge of MLOps and experience deploying models in production environments. Strong problem-solving skills and a deep understanding of statistical methods and algorithms. Preferred Qualifications Experience with Reinforcement Learning and Recommender Systems personalization techniques. Familiarity with ethical AI and model bias mitigation techniques. Experience with A/B testing, experimentation, and performance tracking for AI models in production. Prior experience mentoring junior data scientists and leading AI/ML projects. Strong communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders. (ref:hirist.tech) Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Azure Cloud and Python Developer for ML - Senior 1/2 EY GDS Consulting digital engineering, is seeking an experienced Azure Cloud and Python Developer for ML to join our Emerging Technologies team in DET, GDS. This role presents an exciting opportunity to contribute to innovative projects and be a key player in shaping our technological advancements. The opportunity We are seeking an experienced Azure Cloud and Python Developer with 6-8 years of hands-on experience in machine learning (ML) development. This role involves developing and deploying ML models on the Azure cloud platform, designing efficient data pipelines, and collaborating with data scientists and stakeholders to deliver technical solutions. Your Key Responsibilities Develop and deploy machine learning models on Azure cloud platform using Python programming language, ensuring scalability and efficiency. Design and implement scalable and efficient data pipelines for model training and inference, optimizing data processing workflows. Collaborate closely with data scientists and business stakeholders to understand requirements, translate them into technical solutions, and deliver high-quality ML solutions. Implement best practices for ML development, including version control using tools like Git, testing methodologies, and documentation to ensure reproducibility and maintainability. Design and optimize ML algorithms and data structures for performance and accuracy, leveraging Azure cloud services and Python libraries such as TensorFlow, PyTorch, or scikit-learn. Monitor and evaluate model performance, conduct experiments, and iterate on models to improve predictive accuracy and business outcomes. Work on feature engineering, data preprocessing, and feature selection techniques to enhance model performance and interpretability. Collaborate with DevOps teams to deploy ML models into production environments, ensuring seamless integration and continuous monitoring. Stay updated with the latest advancements in ML, Azure cloud services, and Python programming, and apply them to enhance ML capabilities and efficiency. Provide technical guidance and mentorship to junior developers and data scientists, fostering a culture of continuous learning and innovation. Skills And Attributes Soft Skills Bachelor's or master's degree in computer science, data science, or related field, with a strong foundation in ML algorithms, statistics, and programming concepts. Minimum 6-8 years of hands-on experience in developing and deploying ML models on Azure cloud platform using Python programming language. Expertise in designing and implementing scalable data pipelines for ML model training and inference, utilizing Azure Data Factory, Azure Databricks, or similar tools. Proficiency in Python programming language, including libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy for ML model development and data manipulation. Strong understanding of ML model evaluation metrics, feature engineering techniques, and data preprocessing methods for structured and unstructured data. Experience with cloud-native technologies and services, including Azure Machine Learning, Azure Kubernetes Service (AKS), Azure Functions, and Azure Storage. Familiarity with DevOps practices, CI/CD pipelines, and containerization tools like Docker for ML model deployment and automation. Excellent problem-solving skills, analytical thinking, and attention to detail, with the ability to troubleshoot and debug complex ML algorithms and systems. Effective communication skills, both verbal and written, with the ability to explain technical concepts to non-technical stakeholders and collaborate in cross-functional teams. Proactive and self-motivated attitude, with a passion for learning new technologies and staying updated with industry trends in ML, cloud computing, and software development. Strong organizational skills and the ability to manage multiple projects, prioritize tasks, and deliver results within project timelines and specifications. Business acumen and understanding of the impact of ML solutions on business operations and decision-making processes, with a focus on delivering value and driving business outcomes. Collaboration and teamwork skills, with the ability to work effectively in a global, diverse, and distributed team environment, fostering a culture of innovation and continuous improvement.. To qualify for the role, you must have A bachelor's or master's degree in computer science, data science, or related field, along with a minimum of 6-8 years of experience in ML development and Azure cloud platform expertise. Strong communication skills and consulting experience are highly desirable for this position. Ideally, you’ll also have Analytical ability to manage complex ML projects and prioritize tasks efficiently. Experience operating independently or with minimal supervision, demonstrating strong problem-solving skills. Familiarity with other cloud platforms and technologies such as AWS, Google Cloud Platform (GCP), or Kubernetes is a plus. What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Azure Cloud and Python Developer for ML - Senior 1/2 EY GDS Consulting digital engineering, is seeking an experienced Azure Cloud and Python Developer for ML to join our Emerging Technologies team in DET, GDS. This role presents an exciting opportunity to contribute to innovative projects and be a key player in shaping our technological advancements. The opportunity We are seeking an experienced Azure Cloud and Python Developer with 6-8 years of hands-on experience in machine learning (ML) development. This role involves developing and deploying ML models on the Azure cloud platform, designing efficient data pipelines, and collaborating with data scientists and stakeholders to deliver technical solutions. Your Key Responsibilities Develop and deploy machine learning models on Azure cloud platform using Python programming language, ensuring scalability and efficiency. Design and implement scalable and efficient data pipelines for model training and inference, optimizing data processing workflows. Collaborate closely with data scientists and business stakeholders to understand requirements, translate them into technical solutions, and deliver high-quality ML solutions. Implement best practices for ML development, including version control using tools like Git, testing methodologies, and documentation to ensure reproducibility and maintainability. Design and optimize ML algorithms and data structures for performance and accuracy, leveraging Azure cloud services and Python libraries such as TensorFlow, PyTorch, or scikit-learn. Monitor and evaluate model performance, conduct experiments, and iterate on models to improve predictive accuracy and business outcomes. Work on feature engineering, data preprocessing, and feature selection techniques to enhance model performance and interpretability. Collaborate with DevOps teams to deploy ML models into production environments, ensuring seamless integration and continuous monitoring. Stay updated with the latest advancements in ML, Azure cloud services, and Python programming, and apply them to enhance ML capabilities and efficiency. Provide technical guidance and mentorship to junior developers and data scientists, fostering a culture of continuous learning and innovation. Skills And Attributes Soft Skills Bachelor's or master's degree in computer science, data science, or related field, with a strong foundation in ML algorithms, statistics, and programming concepts. Minimum 6-8 years of hands-on experience in developing and deploying ML models on Azure cloud platform using Python programming language. Expertise in designing and implementing scalable data pipelines for ML model training and inference, utilizing Azure Data Factory, Azure Databricks, or similar tools. Proficiency in Python programming language, including libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy for ML model development and data manipulation. Strong understanding of ML model evaluation metrics, feature engineering techniques, and data preprocessing methods for structured and unstructured data. Experience with cloud-native technologies and services, including Azure Machine Learning, Azure Kubernetes Service (AKS), Azure Functions, and Azure Storage. Familiarity with DevOps practices, CI/CD pipelines, and containerization tools like Docker for ML model deployment and automation. Excellent problem-solving skills, analytical thinking, and attention to detail, with the ability to troubleshoot and debug complex ML algorithms and systems. Effective communication skills, both verbal and written, with the ability to explain technical concepts to non-technical stakeholders and collaborate in cross-functional teams. Proactive and self-motivated attitude, with a passion for learning new technologies and staying updated with industry trends in ML, cloud computing, and software development. Strong organizational skills and the ability to manage multiple projects, prioritize tasks, and deliver results within project timelines and specifications. Business acumen and understanding of the impact of ML solutions on business operations and decision-making processes, with a focus on delivering value and driving business outcomes. Collaboration and teamwork skills, with the ability to work effectively in a global, diverse, and distributed team environment, fostering a culture of innovation and continuous improvement.. To qualify for the role, you must have A bachelor's or master's degree in computer science, data science, or related field, along with a minimum of 6-8 years of experience in ML development and Azure cloud platform expertise. Strong communication skills and consulting experience are highly desirable for this position. Ideally, you’ll also have Analytical ability to manage complex ML projects and prioritize tasks efficiently. Experience operating independently or with minimal supervision, demonstrating strong problem-solving skills. Familiarity with other cloud platforms and technologies such as AWS, Google Cloud Platform (GCP), or Kubernetes is a plus. What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Azure Cloud and Python Developer for ML - Senior 1/2 EY GDS Consulting digital engineering, is seeking an experienced Azure Cloud and Python Developer for ML to join our Emerging Technologies team in DET, GDS. This role presents an exciting opportunity to contribute to innovative projects and be a key player in shaping our technological advancements. The opportunity We are seeking an experienced Azure Cloud and Python Developer with 6-8 years of hands-on experience in machine learning (ML) development. This role involves developing and deploying ML models on the Azure cloud platform, designing efficient data pipelines, and collaborating with data scientists and stakeholders to deliver technical solutions. Your Key Responsibilities Develop and deploy machine learning models on Azure cloud platform using Python programming language, ensuring scalability and efficiency. Design and implement scalable and efficient data pipelines for model training and inference, optimizing data processing workflows. Collaborate closely with data scientists and business stakeholders to understand requirements, translate them into technical solutions, and deliver high-quality ML solutions. Implement best practices for ML development, including version control using tools like Git, testing methodologies, and documentation to ensure reproducibility and maintainability. Design and optimize ML algorithms and data structures for performance and accuracy, leveraging Azure cloud services and Python libraries such as TensorFlow, PyTorch, or scikit-learn. Monitor and evaluate model performance, conduct experiments, and iterate on models to improve predictive accuracy and business outcomes. Work on feature engineering, data preprocessing, and feature selection techniques to enhance model performance and interpretability. Collaborate with DevOps teams to deploy ML models into production environments, ensuring seamless integration and continuous monitoring. Stay updated with the latest advancements in ML, Azure cloud services, and Python programming, and apply them to enhance ML capabilities and efficiency. Provide technical guidance and mentorship to junior developers and data scientists, fostering a culture of continuous learning and innovation. Skills And Attributes Soft Skills Bachelor's or master's degree in computer science, data science, or related field, with a strong foundation in ML algorithms, statistics, and programming concepts. Minimum 6-8 years of hands-on experience in developing and deploying ML models on Azure cloud platform using Python programming language. Expertise in designing and implementing scalable data pipelines for ML model training and inference, utilizing Azure Data Factory, Azure Databricks, or similar tools. Proficiency in Python programming language, including libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy for ML model development and data manipulation. Strong understanding of ML model evaluation metrics, feature engineering techniques, and data preprocessing methods for structured and unstructured data. Experience with cloud-native technologies and services, including Azure Machine Learning, Azure Kubernetes Service (AKS), Azure Functions, and Azure Storage. Familiarity with DevOps practices, CI/CD pipelines, and containerization tools like Docker for ML model deployment and automation. Excellent problem-solving skills, analytical thinking, and attention to detail, with the ability to troubleshoot and debug complex ML algorithms and systems. Effective communication skills, both verbal and written, with the ability to explain technical concepts to non-technical stakeholders and collaborate in cross-functional teams. Proactive and self-motivated attitude, with a passion for learning new technologies and staying updated with industry trends in ML, cloud computing, and software development. Strong organizational skills and the ability to manage multiple projects, prioritize tasks, and deliver results within project timelines and specifications. Business acumen and understanding of the impact of ML solutions on business operations and decision-making processes, with a focus on delivering value and driving business outcomes. Collaboration and teamwork skills, with the ability to work effectively in a global, diverse, and distributed team environment, fostering a culture of innovation and continuous improvement.. To qualify for the role, you must have A bachelor's or master's degree in computer science, data science, or related field, along with a minimum of 6-8 years of experience in ML development and Azure cloud platform expertise. Strong communication skills and consulting experience are highly desirable for this position. Ideally, you’ll also have Analytical ability to manage complex ML projects and prioritize tasks efficiently. Experience operating independently or with minimal supervision, demonstrating strong problem-solving skills. Familiarity with other cloud platforms and technologies such as AWS, Google Cloud Platform (GCP), or Kubernetes is a plus. What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Azure Cloud and Python Developer for ML - Senior 1/2 EY GDS Consulting digital engineering, is seeking an experienced Azure Cloud and Python Developer for ML to join our Emerging Technologies team in DET, GDS. This role presents an exciting opportunity to contribute to innovative projects and be a key player in shaping our technological advancements. The opportunity We are seeking an experienced Azure Cloud and Python Developer with 6-8 years of hands-on experience in machine learning (ML) development. This role involves developing and deploying ML models on the Azure cloud platform, designing efficient data pipelines, and collaborating with data scientists and stakeholders to deliver technical solutions. Your Key Responsibilities Develop and deploy machine learning models on Azure cloud platform using Python programming language, ensuring scalability and efficiency. Design and implement scalable and efficient data pipelines for model training and inference, optimizing data processing workflows. Collaborate closely with data scientists and business stakeholders to understand requirements, translate them into technical solutions, and deliver high-quality ML solutions. Implement best practices for ML development, including version control using tools like Git, testing methodologies, and documentation to ensure reproducibility and maintainability. Design and optimize ML algorithms and data structures for performance and accuracy, leveraging Azure cloud services and Python libraries such as TensorFlow, PyTorch, or scikit-learn. Monitor and evaluate model performance, conduct experiments, and iterate on models to improve predictive accuracy and business outcomes. Work on feature engineering, data preprocessing, and feature selection techniques to enhance model performance and interpretability. Collaborate with DevOps teams to deploy ML models into production environments, ensuring seamless integration and continuous monitoring. Stay updated with the latest advancements in ML, Azure cloud services, and Python programming, and apply them to enhance ML capabilities and efficiency. Provide technical guidance and mentorship to junior developers and data scientists, fostering a culture of continuous learning and innovation. Skills And Attributes Soft Skills Bachelor's or master's degree in computer science, data science, or related field, with a strong foundation in ML algorithms, statistics, and programming concepts. Minimum 6-8 years of hands-on experience in developing and deploying ML models on Azure cloud platform using Python programming language. Expertise in designing and implementing scalable data pipelines for ML model training and inference, utilizing Azure Data Factory, Azure Databricks, or similar tools. Proficiency in Python programming language, including libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy for ML model development and data manipulation. Strong understanding of ML model evaluation metrics, feature engineering techniques, and data preprocessing methods for structured and unstructured data. Experience with cloud-native technologies and services, including Azure Machine Learning, Azure Kubernetes Service (AKS), Azure Functions, and Azure Storage. Familiarity with DevOps practices, CI/CD pipelines, and containerization tools like Docker for ML model deployment and automation. Excellent problem-solving skills, analytical thinking, and attention to detail, with the ability to troubleshoot and debug complex ML algorithms and systems. Effective communication skills, both verbal and written, with the ability to explain technical concepts to non-technical stakeholders and collaborate in cross-functional teams. Proactive and self-motivated attitude, with a passion for learning new technologies and staying updated with industry trends in ML, cloud computing, and software development. Strong organizational skills and the ability to manage multiple projects, prioritize tasks, and deliver results within project timelines and specifications. Business acumen and understanding of the impact of ML solutions on business operations and decision-making processes, with a focus on delivering value and driving business outcomes. Collaboration and teamwork skills, with the ability to work effectively in a global, diverse, and distributed team environment, fostering a culture of innovation and continuous improvement.. To qualify for the role, you must have A bachelor's or master's degree in computer science, data science, or related field, along with a minimum of 6-8 years of experience in ML development and Azure cloud platform expertise. Strong communication skills and consulting experience are highly desirable for this position. Ideally, you’ll also have Analytical ability to manage complex ML projects and prioritize tasks efficiently. Experience operating independently or with minimal supervision, demonstrating strong problem-solving skills. Familiarity with other cloud platforms and technologies such as AWS, Google Cloud Platform (GCP), or Kubernetes is a plus. What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Become our next FutureStarter Are you ready to make an impact? ZF is looking for talented individuals to join our team. As a FutureStarter, you’ll have the opportunity to shape the future of mobility. Join us and be part of something extraordinary! AI Research Scientist Country/Region: IN Location: Chennai, TN, IN, 600116 Req ID 79888 | GEC Chennai, India, ZF Commercial Vehicle Control Systems India Limited AI Research Scientist About the Team: ZF COE Team is effectively communicate complex technical concepts related to AI, ML, DL, and RL to both technical and non-technical audiences. This might involve presenting research findings at conferences or writing papers for academic journals. What you can look forward to as AI Research Scientist (m/f/d): Conduct cutting-edge research to identify and develop novel AI/ML methodologies, including Deep Learning (DL) and Reinforcement Learning (RL). Design and conduct experiments to test hypotheses, validate new approaches, and compare the effectiveness of different ML algorithms. Analyze data to uncover hidden patterns and relationships that can inform the development of new AI techniques. Stay at the forefront of the field by keeping abreast of the latest advancements in algorithms, tools, and theoretical frameworks. This might involve researching areas like interpretability of machine learning models or efficient training methods for deep neural networks. Prototype and explore the potential of advanced machine learning models, including deep learning architectures like convolutional neural networks (CNNs) or recurrent neural networks (RNNs). Contribute to the development of fundamental algorithms and frameworks that can be applied to various machine learning problems. This may involve improving existing algorithms or exploring entirely new approaches. Focus on theoretical aspects of model design, such as improving model efficiency, reducing bias, or achieving explainability in complex models. Document research methodologies, experimental procedures, and theoretical contributions for future reference and knowledge sharing within the research community. Contribute to the development of the research team's long-term research goals and strategies. Your profile as AI Research Scientist (m/f/d): Master's degree in Mathematics, Computer Science or other related technical fields. Phd is good to have. 8+ years of experience in research development, with a strong understanding of data structures and algorithms. 5+ years of experience building and deploying machine learning models in production. Proven experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn. Experience with distributed computing systems and large-scale data processing & Excellent communication and collaboration skills. Contribution to invention disclosure process & A strong publication record in top machine learning conferences or journals. Why should you choose ZF Group in India? Innovative Environment: ZF is at the forefront of technological advancements, offering a dynamic and innovative work environment that encourages creativity and growth. Diverse and Inclusive Culture: ZF fosters a diverse and inclusive workplace where all employees are valued and respected, promoting a culture of collaboration and mutual support. Career Development: ZF is committed to the professional growth of its employees, offering extensive training programs, career development opportunities, and a clear path for advancement. Global Presence: As a part of a global leader in driveline and chassis technology, ZF provides opportunities to work on international projects and collaborate with teams worldwide. Sustainability Focus: ZF is dedicated to sustainability and environmental responsibility, actively working towards creating eco-friendly solutions and reducing its carbon footprint. Employee Well-being: ZF prioritizes the well-being of its employees, providing comprehensive health and wellness programs, flexible work arrangements, and a supportive work-life balance. Be part of our ZF team as AI Research Scientist and apply now! Contact Sowmya Nagarathinam What does DEI (Diversity, Equity, Inclusion) mean for ZF as a company? At ZF, we continuously strive to build and maintain a culture where inclusiveness is lived and diversity is valued. We actively seek ways to remove barriers so that all our employees can rise to their full potential. We aim to embed this vision in our legacy through how we operate and build our products as we shape the future of mobility. Find out how we work at ZF: Job Segment: Research Scientist, R&D, Computer Science, Scientist, Science, Research, Technology