16 Timeseries Forecasting Jobs

As a quant working on the algorithmic trading platform for eFX, your role will involve: - Guiding models through the entire development lifecycle which includes back testing, preparing high quality documentation, and driving the models through the internal model review and approval process - Overseeing the ongoing performance of deployed models through reactive and proactive support, monitoring, and reporting - Developing analytics to assist in smarter risk management of the trading books - Laying out a formal architecture around which a lot of the tools can be built - Working very closely with traders across various markets to build a wide spectrum of tools - Engineering innovative solutions using a variety of approaches such as time-series forecasting predictive modelling, cluster analysis, dimensionality reduction, etc. - Developing and managing quantitative analytics to identify the market dislocations and trading opportunities in eFX markets Qualifications required for this role include: - Talented programmers with experience in e-trading business and related fields - Inquisitive spirit and ability to contribute extensively to the digital transformation of businesses If you are passionate about leveraging your programming skills in the eFX domain and are excited about working closely with traders to develop cutting-edge tools for algorithmic trading, this role could be a perfect fit for you.,

As a Manager/Assistant Manager - Data Science at our company in Mumbai, your role involves developing and implementing data-driven solutions to drive business growth and improvement. You will lead and manage a team of data scientists, design and deploy machine learning models, conduct time series forecasting, analyze digital marketing campaigns, and collaborate with cross-functional teams to integrate data science insights into business strategies. It is essential for you to stay updated with industry trends and advancements in data science and AI. Key Responsibilities: - Develop and implement data-driven solutions for business growth - Lead and manage a team of data scientists - Design and deploy machine learning models - Conduct time series forecasting and predictive analytics - Analyze and optimize digital marketing campaigns - Develop and maintain portfolio analysis and traffic analysis models - Collaborate with cross-functional teams for data science integration - Stay updated with industry trends in data science and AI Qualifications Required: - Bachelor's degree in Computer Science, Statistics, Mathematics, or related field - 8+ years of experience in data science or related field - Expertise in Data Science, Machine Learning, Time Series Forecasting, Digital Marketing Analytics, Traffic Analysis, Portfolio Analysis, Campaign Optimization, and Model Deployment - Strong programming skills in Python, R, or SQL - Experience with data visualization tools like Tableau, Power BI, or D3.js - Ability to communicate complex technical concepts to non-technical stakeholders - Strong leadership and team management skills In addition to the exciting work in data science, you will have the opportunity to work with a dynamic and innovative team, avail professional growth and development opportunities, and receive comprehensive health insurance benefits. Join us in shaping the future of data science and AI in Mumbai! Note: Additional details about the company were not provided in the job description.,

YASH Technologies is a leading technology integrator dedicated to helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we comprise a team of talented individuals working with cutting-edge technologies. Our mission revolves around making real positive changes in an increasingly virtual world, transcending generational gaps and future disruptions. We are currently seeking AI/ML Professionals for the position of AI/ML Technical Lead with at least 10-12 years of experience. As a Technical Lead, you will play a pivotal role in leading complex data science projects, guiding junior data scientists, and spearheading the development of innovative solutions that utilize data to achieve business goals. Your responsibilities will include applying your expertise in machine learning, statistical modeling, and data analysis to extract actionable insights and drive strategic decision-making. Responsibilities: - Taking ownership of end-to-end delivery of ML and GenAI use cases. - Designing RAG pipelines and constructing enterprise-scale GenAI accelerators. - Collaborating with architects and presales teams. - Ensuring code modularity, testability, and governance. - Engaging with product managers and business stakeholders to comprehend requirements and deliver practical AI solutions. - Providing guidance and mentorship to junior team members. - Managing project timelines, resources, and risk assessments. - Collaborating with Data Engineers, AI/ML Engineers, Full Stack Engineers, and QA Engineers for seamless integration of AI solutions. - Keeping abreast of advancements in AI/ML technologies and best practices. Required Skills: - Profound background in AI/ML model development and deployment. - Proficiency in Python, R, and other AI-related programming languages. - Experience in managing cross-functional teams in an Agile environment. - Strong grasp of data science, cloud computing, and AI/ML frameworks such as TensorFlow, PyTorch, etc. - Familiarity with LangChain, LangGraph, embedding techniques, and prompt engineering. - Knowledge of Classical ML algorithms like XGBoost, Random Forest, and time-series forecasting. At YASH, you have the opportunity to craft a career path that aligns with your aspirations while working in an inclusive team setting. We embrace career-oriented skilling models and leverage technology for continuous learning, unlearning, and relearning at a rapid pace and scale within our Hyperlearning workplace. Our workplace ethos is built on flexibility, emotional positivity, trust, transparency, open collaboration, and unwavering support to achieve business objectives, all within a stable and ethical corporate culture.,

Job Description: Omio is building the future of travel pricing by transitioning from manual, rule-based systems to AI-driven dynamic pricing to enhance revenue, efficiency, and competitiveness. As part of this transition, we are seeking an individual to develop cutting-edge solutions and drive the adoption of AI-driven pricing within the company. Main Tasks And Responsibilities: - Build Models: Develop machine learning models such as time series and RNNs to forecast demand and optimization systems for dynamic price recommendations. - Pilot AI Solutions: Design and implement a Proof of Concept (PoC) for dynamic pricing in a test market. - Evangelize AI Pricing: Advocate for the adoption of AI-driven pricing by demonstrating its value to key stakeholders. - Analyse Large Data: Utilize Omio's data and external factors like competitor pricing to optimize pricing decisions. - Drive Automation: Establish systems for real-time anomaly detection and automated price adjustments. - Collaborate: Work with Pricing Commercial, Product, and Engineering teams to integrate AI into business workflows and ensure smooth adoption. Qualifications: - Minimum of 3 years experience in building complex models and algorithms. - Proven track record of designing and deploying models in production, particularly for pricing or forecasting. - Strong communication and presentation skills to effectively explain technical concepts to non-technical stakeholders at a C-level. - Self-driven individual contributor with the ability to work autonomously. - Experience in developing production-ready AI systems from inception is highly desirable. Knowledge & Skills: - Passion for driving organizational change and inspiring teams to adopt data-driven approaches. - Excellent communication skills with stakeholders, including C-Level executives. - Focus on solving practical business problems rather than theoretical model-building. - Proficiency in Python, with expertise in data science libraries like pandas, NumPy, scikit-learn, TensorFlow, and PyTorch. - Familiarity with time-series forecasting, anomaly detection, and Bayesian modeling. - Experience in building low-latency or near real-time processing systems. Additional Information: Upon acceptance of a job offer, background screening will be conducted by Giant Screening in partnership with Omio. Consent will be obtained before any information is shared with the screening service. Omio offers a dynamic work environment where you can be part of shaping the future of travel pricing.,

You are an experienced and data-driven Sales and Marketing Analyst with a high degree of competency in predictive modeling and data analytics. Your role is critical in helping the team leverage data to make strategic decisions, forecast market trends, and optimize sales and marketing performance. You are adept at analyzing large datasets, identifying patterns, and utilizing advanced predictive models to deliver actionable insights that drive business growth. Your responsibilities include monitoring and forecasting marketing and sales trends, predictive modeling for Marketing Lead Prioritization using tools like R, Python Scripts, Power BI, Tableau, etc. You will utilize advanced machine learning techniques to predict future customer actions and identify leading indicators of marketing and sales success to optimize campaigns and improve ROI. Additionally, you will gather data about consumers, competitors, and market conditions and convert complex data into understandable graphs, tables, and written reports. You will also prepare reports and present them to leadership. As a Sales and Marketing Data Analyst, you will break down key business data, including revenue cycles, sales, market information, and customer behavior. You will interpret data, identify patterns or areas for improvement, and share your findings with business, marketing, and sales professionals to provide data-driven strategies to optimize sales. Business intelligence analysts demonstrate strong skills in data analysis, communications, management, and computer analytics programs. Experience Preferred: - 3 years of relevant experience in Marketing, Statistics, Consulting, and Marketing Analytics, preferably in areas such as customer analytics, marketing campaign analysis, or CRM analysis. Education: - Bachelor's degree in Marketing, Data Science, Business Analytics, Statistics, Economics, or related field (Master's preferred). Analytics Requirements: - Advanced understanding of Salesforce, Power BI, R, Python, or similar tools with the ability to develop complex from-scratch queries. - Experience using tools like R and Python for predictive models and machine learning algorithms. - Ability to understand retrieval of large data sets and the analytical activities required to validate findings and present impactful recommendations. - Basic knowledge of programming logic and database design, including understanding table structure, table relationships, and the creation and production of both static and dynamic reports. - Track record of using data and insights to drive change and implement new initiatives. You are expected to be an immediate joiner for this position.,

Wipro Limited is a leading technology services and consulting company that focuses on creating innovative solutions to address clients" most complex digital transformation needs. With a holistic portfolio encompassing consulting, design, engineering, and operations, the company helps clients achieve their boldest ambitions and develop sustainable businesses. Wipro has a global presence with over 230,000 employees and business partners across 65 countries, dedicated to helping customers, colleagues, and communities thrive in a dynamic world. We are seeking candidates with advanced expertise in time-series forecasting, predictive modeling, and deep learning, coupled with hands-on experience in scalable MLOps frameworks. The ideal candidate should possess a master's degree in mathematics, statistics, or data science, with a preference for those holding a Ph.D. Proficiency in Azure Machine Learning, Databricks, PySpark, and optimizing operational machine learning models" performance is crucial. Successful candidates will demonstrate the ability to optimize models, automate workflows, and drive innovation while delivering efficient, scalable solutions for forecasting projects. **Key Responsibilities:** - Develop and implement reusable and scalable machine learning systems for time-series forecasting. - Analyze, retrain, and fine-tune machine learning models based on evolving data trends and business requirements to ensure long-term efficiency and reliability. - Automate machine learning workflows, including deployment, monitoring, and retraining, using Azure Machine Learning as an MLOps technology. - Utilize PySpark for efficient data processing and analytics in large-scale environments. - Collaborate on data engineering tasks in Azure Databricks and implement scalable storage solutions using Azure Data Lake. **Mandatory Skills:** - Master's degree in mathematics, statistics, data science, or related fields. - Ph.D. in mathematics, statistics, data science, or similar areas is preferred but not mandatory. - Extensive experience in time-series forecasting, predictive modeling, and deep learning. - Proficiency in designing reusable and scalable machine learning systems. - Strong command of machine learning libraries and data manipulation tools. - Proven expertise in analyzing and optimizing performance of operational machine learning models. - Advanced experience in MLOps frameworks and PySpark for data processing. - Azure Machine Learning, Azure Databricks, and Azure Data Lake proficiency. **Benefits:** - New Hires Buddy-Program - Regular All-hands Meetings - Referral Program - Comprehensive Learning Offerings - Company pension plan - Highly international, high-performance culture - Diversity is in our DNA - Women network Join Wipro, a company that is reinventing itself and aiming for bold digital transformations. Be part of an organization that encourages constant evolution and empowers individuals to design their reinvention. At Wipro, you can realize your ambitions in an environment that thrives on purpose and innovation. Applications from individuals with disabilities are highly encouraged.,

As a Senior Data Scientist in the Data & Analytics field, you will be responsible for a variety of tasks that involve advanced analytics, modeling, data strategy, engineering collaboration, business impact, AI strategy, thought leadership, mentorship, and technical expertise. You will design and implement advanced machine learning models, including deep learning, time-series forecasting, recommendation engines, and LLM-based solutions such as GPT, LLaMA, and Claude. Additionally, you will develop use cases around enterprise search, document summarization, conversational AI, and automated knowledge retrieval using large language models. Your role will also involve fine-tuning or prompt-engineering foundation models for domain-specific applications and evaluating and optimizing LLM performance, latency, cost-effectiveness, and hallucination mitigation strategies for production use. Collaboration with data and ML engineering teams will be crucial as you work closely to integrate LLM-powered applications into scalable, secure, and reliable pipelines. You will contribute to the development of retrieval-augmented generation architectures using vector databases and support the deployment of models using MLOps principles. Partnering with cross-functional stakeholders, you will identify opportunities for applying LLMs and generative AI to solve complex business challenges. Leading workshops or proofs-of-concept will be part of your responsibilities to demonstrate the value of LLM use cases across business units. You will also translate complex model outputs into clear insights and decision support tools for non-technical audiences. As an internal thought leader on AI and LLM innovation, you will keep the organization at the forefront of industry advancements. Mentoring and upskilling data science team members in advanced AI techniques and contributing to strategic roadmaps for generative AI and model governance within the enterprise will be key aspects of your role. To qualify for this position, you should have education in Data Science, Artificial Intelligence, Computer Science, or related quantitative discipline, along with 5+ years of hands-on experience in data science. Demonstrated success in deploying machine learning and NLP solutions at scale and proven experience with cloud AI platforms are required. Proficiency in Python and SQL, experience with prompt engineering, fine-tuning, and LLM orchestration tools, familiarity with data storage and retrieval systems, and strong understanding of model evaluation techniques for generative AI are also necessary. Additionally, you should possess leadership skills and be a strategic thinker with the ability to align AI initiatives to business goals. Excellent communication and storytelling skills are crucial for articulating the value of LLMs and advanced analytics. Strong collaboration skills and the ability to influence stakeholders across various teams are also essential. Preferred qualifications for this role include experience with IoT, edge analytics, or smart building systems, familiarity with LLMOps, LangChain, Semantic Kernel, or similar orchestration frameworks, and knowledge of data privacy and governance considerations specific to LLM usage in enterprise environments.,

At 4D Global Inc., we are dedicated to transforming healthcare financial operations by utilizing innovative technology and data-driven solutions. With a focus on empowering healthcare organizations to enhance accuracy in billing, streamline processes, and optimize financial outcomes, we leverage cutting-edge automation, AI, and the expertise of our seasoned professionals to enable our clients to maximize revenue and prioritize exceptional patient care. As an Inc. 5000 Fastest-Growing Private Company in America and a Great Place to Work-Certified organization, we take pride in fostering a collaborative, inclusive, and dynamic workplace environment. Join our team and become a part of a company that values innovation, excellence, and the growth of its employees while making a significant impact on the healthcare industry. As a Data Scientist at 4D Global Inc., your primary responsibility will be to analyze and structure historical company assets, documents, and operational data to develop AI models that enhance decision-making, automation, and insights. Your contributions will serve as the groundwork for AI-driven efficiencies across various areas such as claims processing, denials management, workflow automation, and predictive analytics. Responsibilities: - Develop predictive models to assess denial probability, revenue forecasting, and operational optimization. - Collaborate with AI Engineers to refine largescale ML models tailored to Revenue Cycle Management (RCM) operations. - Implement NLP-driven AI models to extract crucial insights from unstructured data sources like emails, call logs, and claim notes. - Ensure data quality, consistency, and compliance with US-based HIPAA and SOC 2 standards. - Continuously enhance the accuracy of AI models by incorporating feedback loops from real-time operational data. - Work closely with Automation Engineers and RCM domain experts to generate actionable AI-driven insights. Requirements: - Possess a minimum of 2 years of experience in data science, machine learning, and AI model training. - Proficient in Python, TensorFlow, Hugging Face Transformers, and Google Vertex AI. - Familiarity with BigQuery, SQL, and cloud-based data warehousing. - Experience in NLP, statistical modeling, and time-series forecasting. - Previous exposure to RCM, healthcare data, or insurance analytics is considered a strong advantage. - Strong analytical and problem-solving abilities with the capacity to work both independently and collaboratively in team settings. Embark on a rewarding career journey with 4D Global Inc. and contribute to shaping the future of healthcare financial solutions!,

We are seeking a highly skilled Manager/Assistant Manager - Data Science to join our team in Mumbai. The ideal candidate will have expertise in Data Science, Machine Learning, Time Series Forecasting, Digital Marketing Analytics, Traffic Analysis, Portfolio Analysis, Campaign Optimization, and Model Deployment. Responsibilities Develop and implement data-driven solutions to drive business growth and improvement Lead and manage a team of data scientists to achieve project goals and objectives Design and deploy machine learning models to solve complex business problems Conduct time series forecasting and predictive analytics to inform business decisions Analyze and optimize digital marketing campaigns to improve ROI Develop and maintain portfolio analysis and traffic analysis models Collaborate with cross-functional teams to integrate data science insights into business strategies Stay up-to-date with industry trends and advancements in data science and AI Requirements Bachelor's degree in Computer Science, Statistics, Mathematics, or related field8+ years of experience in data science, or related field Expertise in Data Science, Machine Learning, Time Series Forecasting, Digital Marketing Analytics, Traffic Analysis, Portfolio Analysis, Campaign Optimization, and Model Deployment Strong programming skills in languages such as Python, R, or SQL Experience with data visualization tools such as Tableau, Power BI, or D3.js Ability to communicate complex technical concepts to non-technical stakeholders Strong leadership and team management skills Benefits Opportunity to work with a dynamic and innovative team Professional growth and development opportunities Comprehensive health insurance Contact Person - Priya Srinivasan Email - priya@gojobs.biz

You are a senior professional with at least 6+ years of hands-on experience in Python focusing on AI technologies. Your proficiency lies in Python and you have worked with libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch. Your expertise includes a solid understanding of machine learning algorithms, model evaluation, and data preprocessing techniques. You have experience dealing with both structured and unstructured data sets. Additionally, you are familiar with version control systems like Git and collaborative development practices. Your strong problem-solving skills enable you to work effectively both independently and as part of a team. Desired Skills: - You have experience in natural language processing (NLP), computer vision, or time-series forecasting. - You are familiar with MLOps tools and practices for model deployment and monitoring. - Your background includes working with Generative AI models such as GPT, LLaMA, or Stable Diffusion. - You have knowledge of prompt engineering, fine-tuning, or embedding techniques for large language models (LLMs). - Hands-on experience with LLM frameworks like LangChain, Haystack, or Transformers (Hugging Face) is a plus. - You understand vector databases (e.g., Postgres, Pinecone) for retrieval-augmented generation (RAG) pipelines. - Any contributions to open-source AI/ML projects or published research would be beneficial. Locations: Hyderabad / Chennai / Bangalore / Pune. If you meet the above criteria and are interested in this opportunity, please share your resume at hr@neev.global or call 9429691736. This is a full-time position that requires you to work in person.,

You are a motivated and technically skilled Data Scientist with 4+ years of experience in applying AI/ML techniques to solve real-world problems. You possess a solid foundation in machine learning, statistical modeling, and data analysis, with hands-on experience working with large datasets and deploying models in production environments. Your key responsibilities include designing, developing, and deploying machine learning models and AI solutions for business problems across multiple domains. You will collaborate with cross-functional teams including engineering, product, and analytics to identify opportunities for data-driven solutions. Conducting exploratory data analysis (EDA), feature engineering, and model selection using industry best practices are essential. You will also perform experiments, model validation, and performance tuning, as well as build reusable code and libraries for future use while contributing to data science platform improvements. Presenting findings and insights clearly to both technical and non-technical stakeholders is a crucial part of your role. You should have 4+ years of relevant experience in data science, with hands-on experience in machine learning, deep learning, or AI systems. Proficiency in Python and relevant libraries such as Pandas, Scikit-learn, TensorFlow, PyTorch, NumPy, etc., is required. A strong understanding of supervised, unsupervised, and reinforcement learning techniques is necessary. Experience with SQL, data wrangling, and working with large datasets is expected, and exposure to cloud platforms like AWS, Azure, or GCP is a plus. Familiarity with MLOps, model deployment, and version control (e.g., Git) is beneficial. Preferred qualifications include experience working with NLP, computer vision, or time-series forecasting, as well as familiarity with data visualization tools such as Matplotlib, Seaborn, Power BI, Tableau. An understanding of A/B testing, causal inference, and statistical hypothesis testing is advantageous. You should be able to work in a fast-paced, agile environment with minimal supervision and have experience in GenAI frameworks (OpenAI, Vertex AI), multi-agent architectures, and MLOps tooling. In terms of the tech stack, you should be familiar with languages and frameworks like Python, Java, SQL, JavaScript/TypeScript, and tools such as TensorFlow, PyTorch, and Scikit-learn. Cloud platforms like GCP Vertex AI, BigQuery, Cloud Functions, Cloud Run, Dataflow, and Pub/Sub are essential. Knowledge of data and MLOps tools like BigQuery, AlloyDB, MongoDB, Redis, relation databases (e.g., Oracle, MySQL, MSSQL), and MLOps tools (e.g., MLflow, Kubeflow, Airflow, Docker, Kubernetes) is required. Understanding of GenAI and agents such as Vertex AI Gemini, OpenAI, Claude, LangChain, LlamaIndex, FAISS, Pinecone, RAG pipelines, autonomous agents, multi-agent orchestration, memory modules, tool use, and prompt chaining is beneficial. Dev tools like GitHub Copilot, ChatGPT, Cursor AI, or any other Gen AI tools are also part of the tech stack you will work with.,

The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. Interact with C-level at our clients on a regular basis to drive their business towards impactful change. Lead your team in creating new business solutions. Seize opportunities at the client and at Metyis in our entrepreneurial environment. Become part of a fast-growing international and diverse team. Lead and manage the delivery of complex data science projects, ensuring quality and timelines. Engage with clients and business stakeholders to understand business challenges and translate them into analytical solutions. Design solution architectures and guide the technical approach across projects. Align technical deliverables with business goals, ensuring data products create measurable business value. Communicate insights clearly through presentations, visualizations, and storytelling for both technical and non-technical audiences. Promote best practices in coding, model validation, documentation, and reproducibility across the data science lifecycle. Collaborate with cross-functional teams to ensure smooth integration and deployment of solutions. Drive experimentation and innovation in AI/ML techniques, including newer fields - Generative AI. 6+ years of experience in delivering full-lifecycle data science projects. Proven ability to lead cross-functional teams and manage client interactions independently. Strong business understanding with the ability to connect data science outputs to strategic business outcomes. Experience with stakeholder management, translating business questions into data science solutions. Track record of mentoring junior team members and creating a collaborative learning environment. Familiarity with data productization and ML systems in production, including pipelines, monitoring, and scalability. Experience managing project roadmaps, resourcing, and client communication. Strong hands-on experience in Python/R and SQL. Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. Experience with data visualization tools in python like Seaborn, Plotly. Good understanding of Git concepts. Good experience with data manipulation tools in python like Pandas and Numpy. Must have worked with scikit learn, NLTK, Spacy, transformers. Experience with dashboarding tools such as Power BI and Tableau to create interactive and insightful visualizations. Proficient in using deployment and containerization tools like Docker and Kubernetes for building and managing scalable applications. Core Competencies: Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like Mlflow, model deployment, API integration, and CI/CD pipelines. Hands-on experience with MLOps and model governance best practices in production environments. Experience in developing optimization and recommendation system solutions to enhance decision-making, user personalization, and operational efficiency across business functions. Generative AI Experience with text and Image data. Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG).,

You are a highly skilled and motivated Lead Data Scientist / Machine Learning Engineer sought to join a team pivotal in the development of a cutting-edge reporting platform. This platform is designed to measure and optimize online marketing campaigns effectively. Your role will involve focusing on data engineering, ML model lifecycle, and cloud-native technologies. You will be responsible for designing, building, and maintaining scalable ELT pipelines, ensuring high data quality, integrity, and governance. Additionally, you will develop and validate predictive and prescriptive ML models to enhance marketing campaign measurement and optimization. Experimenting with different algorithms and leveraging various models will be crucial in driving insights and recommendations. Furthermore, you will deploy and monitor ML models in production and implement CI/CD pipelines for seamless updates and retraining. You will work closely with data analysts, marketing teams, and software engineers to align ML and data solutions with business objectives. Translating complex model insights into actionable business recommendations and presenting findings to stakeholders will also be part of your responsibilities. Qualifications & Skills: Educational Qualifications: - Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, or related field. - Certifications in Google Cloud (Professional Data Engineer, ML Engineer) is a plus. Must-Have Skills: - Experience: 5-10 years with the mentioned skillset & relevant hands-on experience. - Data Engineering: Experience with ETL/ELT pipelines, data ingestion, transformation, and orchestration (Airflow, Dataflow, Composer). - ML Model Development: Strong grasp of statistical modeling, supervised/unsupervised learning, time-series forecasting, and NLP. - Programming: Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL for large-scale data processing. - Cloud & Infrastructure: Expertise in GCP (BigQuery, Vertex AI, Dataflow, Pub/Sub, Cloud Storage) or equivalent cloud platforms. - MLOps & Deployment: Hands-on experience with CI/CD pipelines, model monitoring, and version control (MLflow, Kubeflow, Vertex AI, or similar tools). - Data Warehousing & Real-time Processing: Strong knowledge of modern data platforms for batch and streaming data processing. Nice-to-Have Skills: - Experience with Graph ML, reinforcement learning, or causal inference modeling. - Working knowledge of BI tools (Looker, Tableau, Power BI) for integrating ML insights into dashboards. - Familiarity with marketing analytics, attribution modeling, and A/B testing methodologies. - Experience with distributed computing frameworks (Spark, Dask, Ray). Location: - Bengaluru Brand: - Merkle Time Type: - Full time Contract Type: - Permanent,

You are a highly skilled AI/ML/Gen AI Data Scientist with expertise in Generative AI, Machine Learning, Deep Learning, and Natural Language Processing (NLP). You have a strong foundation in Python-based AI frameworks and experience in developing, deploying, and optimizing AI models for real-world applications. Your responsibilities include developing and implementing AI/ML models, working with Deep Learning architectures like Transformers (BERT, GPT, LLaMA) and CNNs/RNNs, fine-tuning and optimizing Large Language Models (LLMs) for various applications, designing and training custom Machine Learning models using structured and unstructured data, leveraging NLP techniques such as text summarization and Named Entity Recognition (NER), implementing ML pipelines, and deploying models in cloud environments (AWS/GCP/Azure). You will collaborate with cross-functional teams to integrate AI-driven solutions into business applications and stay updated with the latest AI advancements to apply innovative techniques to improve model performance. To qualify for this role, you should have 1 to 3 years of experience in AI/ML, Deep Learning, and Generative AI, strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, Hugging Face, Scikit-learn, hands-on experience with NLP models including BERT, GPT, T5, LLaMA, and Stable Diffusion, expertise in data preprocessing, feature engineering, and model evaluation, experience with MLOps, cloud-based AI deployment, and containerization (Docker, Kubernetes), knowledge of vector databases and retrieval-augmented generation (RAG) techniques, ability to fine-tune LLMs and work with prompt engineering, strong problem-solving skills, and the ability to work in agile environments. You should hold a Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, or Information Technology. Preferred skills include experience with Reinforcement Learning (RLHF) and multi-modal AI, familiarity with AutoML, Responsible AI (RAI), and AI Ethics, exposure to Graph Neural Networks (GNNs) and time-series forecasting, contributions to open-source AI projects or research papers. Your skills should encompass Machine Learning (ML), Generative AI, Artificial Intelligence (AI), Python, and Large Language Models (LLM).,

We are looking for a skilled Data Engineer to join our team, working on end-to-end data engineering and data science use cases. The ideal candidate will have strong expertise in Python or Scala, Spark (Databricks), and SQL, building scalable and efficient data pipelines on Azure. Responsibilities include designing, building, and maintaining scalable ETL/ELT data pipelines using Azure Data Factory, Databricks, and Spark. Developing and optimizing data workflows using SQL and Python or Scala for large-scale data processing and transformation. Implementing performance tuning and optimization strategies for data pipelines and Spark jobs to ensure efficient data handling. Collaborating with data engineers to support feature engineering, model deployment, and end-to-end data engineering workflows. Ensuring data quality and integrity by implementing validation, error-handling, and monitoring mechanisms. Working with structured and unstructured data using technologies such as Delta Lake and Parquet within a Big Data ecosystem. Contributing to MLOps practices, including integrating ML pipelines, managing model versioning, and supporting CI/CD processes. Primary Skills required are Data Engineering & Cloud proficiency in Azure Data Platform (Data Factory, Databricks), strong skills in SQL and either Python or Scala for data manipulation, experience with ETL/ELT pipelines and data transformations, familiarity with Big Data technologies (Spark, Delta Lake, Parquet), expertise in data pipeline optimization and performance tuning, experience in feature engineering and model deployment, strong troubleshooting and problem-solving skills, experience with data quality checks and validation. Nice-to-Have Skills include exposure to NLP, time-series forecasting, and anomaly detection, familiarity with data governance frameworks and compliance practices, basics of AI/ML like ML & MLOps Integration, experience supporting ML pipelines with efficient data workflows, knowledge of MLOps practices (CI/CD, model monitoring, versioning). At Tesco, we are committed to providing the best for our colleagues. Total Rewards offered at Tesco are determined by four principles - simple, fair, competitive, and sustainable. Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays. Tesco promotes programs supporting health and wellness, including insurance for colleagues and their family, mental health support, financial coaching, and physical wellbeing facilities on campus. Tesco in Bengaluru is a multi-disciplinary team serving customers, communities, and the planet. The goal is to create a sustainable competitive advantage for Tesco by standardizing processes, delivering cost savings, enabling agility through technological solutions, and empowering colleagues. Tesco Technology team consists of over 5,000 experts spread across the UK, Poland, Hungary, the Czech Republic, and India, dedicated to various roles including Engineering, Product, Programme, Service Desk and Operations, Systems Engineering, Security & Capability, Data Science, and others.,

We are seeking a skilled and driven AI Developer to create, implement, and launch advanced machine learning models and artificial intelligence solutions. The ideal candidate will possess strong programming abilities, a profound comprehension of machine learning algorithms, and proficiency in model deployment and refinement. Your primary responsibilities will include crafting and executing ML models and AI solutions utilizing suitable algorithms, examining extensive datasets to extract valuable patterns for business decisions, and refining machine learning models to ensure optimal performance. You will also be involved in constructing pipelines for data preprocessing, model training, testing, and deployment, as well as integrating ML models into production through REST APIs, Docker, or cloud services (e.g., AWS SageMaker, GCP AI Platform, Azure ML). Monitoring and enhancing model accuracy, scalability, and dependability post-deployment will also be part of your duties. Collaboration with cross-functional teams comprising product, engineering, and data science professionals to incorporate ML solutions into existing systems is crucial. You will be expected to research and implement new AI methodologies while staying abreast of the latest trends in the field. The ideal candidate should hold a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proficiency in Python and libraries like TensorFlow, PyTorch, and Scikit-learn is essential. A solid grasp of supervised, unsupervised, and reinforcement learning techniques is required, along with experience in NLP, computer vision, or time-series forecasting projects. Familiarity with data processing tools such as Pandas, NumPy, and SQL is expected, as well as knowledge of statistics, linear algebra, and probability theory. Experience in deploying models using Flask/FastAPI, Docker, and CI/CD pipelines is preferred. Familiarity with cloud platforms like AWS, GCP, or Azure, as well as proficiency in version control systems (Git) and collaborative tools like JIRA and Confluence, are advantageous. Hands-on experience with MLOps practices, model monitoring tools, Hugging Face Transformers, OpenCV, YOLO, and similar tools will be beneficial. Participation in Kaggle competitions, published papers, or GitHub AI/ML projects is considered a strong advantage. This is a full-time position located in Nagpur with a salary as per market standards. The ideal candidate should have 2-4 years of experience and be below 35 years old. Educational requirements include a Bachelors or Masters degree or equivalent in a relevant field. Proficiency in English and Hindi is required. Please note that there are no specific perks and benefits mentioned for this position.,