7 Classical Ml Jobs

You should have hands-on experience working with Marketing Domain datasets and at least 2 years of applicable work experience in Machine Learning. With 5+ years of hands-on experience in Snowflake and 2+ years of experience on Generative AI projects, you should also possess proficiency with the Python Machine Learning stack, including Pandas, and knowledge of experimental design and analysis of results. Demonstrating experience in applying Machine Learning, both Deep Learning (PyTorch) and Classical ML (Scikit-Learn), is essential. Furthermore, you should have experience in leading Machine Learning teams to deploy and enhance ML features in production and collaborating in cross-functional teams to deliver ML solutions at scale. Familiarity with Large Language Models, particularly in interactive dialog systems and chatbots, as well as experience deploying NLP systems like Information Retrieval (IR) and Recommender Systems (RecSys) are crucial. Preferred qualifications include proficiency in SQL and experience with big data technologies such as Hive, Presto, Glue, (Py)Spark, or Athena. Advanced software engineering skills, including data structures and algorithms, are desired. Experience in data pipelines and model serving in AWS, as well as MLOps on AWS at scale, is an advantage. Familiarity with AWS Cloud Formation templates, Agile and SCRUM methodologies, and working with PowerBI to develop dashboards are considered positives. Additionally, analytical skills related to unstructured datasets, a successful track record of extracting value from large, disconnected datasets, and experience working with agile, globally distributed teams are beneficial.,

We are seeking a highly motivated and experienced Technical Lead having experience to join our growing team. In this role, you will be responsible for leading complex data science projects, mentoring junior data scientists, and driving the development of innovative solutions that leverage data to achieve business objectives. You will apply your deep expertise in machine learning, statistical modeling, and data analysis to extract actionable insights and drive strategic decision-making. Experience: 1017 Years Job Type: Full-time Responsibilities: End-to-end delivery ownership of ML and GenAI use cases. Architect RAG pipelines and build enterprise-scale GenAI accelerators. Collaborate with architects and presales teams. Ensure code modularity, testability, and governance. Work closely with product managers and business stakeholders to understand requirements and deliver actionable AI solutions. Provide guidance and mentorship to junior team members. Manage project timelines, resources, and risk assessments. Collaborate with Data Engineers, AI/ML Engineers, Full Stack Engineers, and QA Engineers to ensure smooth integration of AI solutions. Stay updated with advancements in AI/ML technologies and best practices Required Skills: Strong background in AI/ML model development and deployment Proficient in Python, R, and other AI-related programming languages. Experience managing cross-functional teams in an Agile environment. Strong understanding of data science, cloud computing, and AI/ML frameworks (e.g., TensorFlow, PyTorch, etc.). LangChain, LangGraph, embedding techniques, prompt engineering. Classical ML: XGBoost, Random Forest, time-series forecasting. Show more Show less

Job Title: Data Scientist Classical ML Experience Level: L3 / L4 (5–7 Years) Location: Bangalore, Pune, Chennai, Gurugram, Hyderabad, Kolkata Employment Type: Full-Time Work Mode: Hybrid (Work from Office) Max Budget: 40 LPA About the Role We are seeking skilled Data Scientists with 5+ years of relevant experience in SQL, Python, and Classical Machine Learning . The ideal candidate should have strong domain knowledge in one or more of the following areas: Marketing Analytics, Supply Chain Analytics, or Pricing & Promotion Optimization . Open Positions 1. L3 – Advertising & Campaign Analytics Experience: 5–7 years (5+ years relevant) Skills: SQL, Classical Machine Learning Domain Expertise: Advertising & Campaign Analytics Marketing Mix Modeling (MMM) Market Mix Optimization (MMO) 2. L3 – Pricing, Assortment, and Supply Chain Experience: 5–7 years (5+ years relevant) Skills: SQL, Python Domain Expertise: Pricing & Promotion Analytics Assortment Planning Supply Chain Optimization 3. L4 – Classical ML Focus Experience: 5–7 years (5+ years relevant) Skills: SQL, Python Focus Areas: Classical Machine Learning Broad Data Science Applications across domains Key Responsibilities Develop and deploy Classical ML models to solve real-world business problems. Work with large datasets using SQL and Python for data preparation, feature engineering, and analysis. Partner with cross-functional teams to translate business objectives into data science solutions. Communicate insights and results to technical and non-technical stakeholders effectively. Continuously improve models based on performance metrics and business feedback. Preferred Qualifications Bachelor’s or Master’s in Computer Science, Statistics, Mathematics, or a related quantitative field. Proven experience in statistical modeling, regression, classification, and other ML techniques. Domain experience in Marketing, Retail, or Supply Chain is highly desirable. Strong problem-solving skills and business acumen.

Graduate degree in a quantitative field (CS, statistics, applied mathematics, machine learning, or related discipline) Good programming skills in Python with strong working knowledge of Pythons numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, etc. Experience with SQL, Excel, Tableau/ Power BI, PowerPoint Predictive modelling experience in Python (Time Series/ Multivariable/ Causal) Experience applying various machine learning techniques and understanding the key parameters that affect their performance Experience of building systems that capture and utilize large data sets to quantify performance via metrics or KPIs Excellent verbal and written communication Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects. Roles & Responsibilities: Lead a team of Data Engineers, Analysts and Data scientists to carry out following activities: Connect with internal / external POC to understand the business requirements Coordinate with right POC to gather all relevant data artifacts, anecdotes, and hypothesis Create project plan and sprints for milestones / deliverables Spin VM, create and optimize clusters for Data Science workflows Create data pipelines to ingest data effectively Assure the quality of data with proactive checks and resolve the gaps Carry out EDA, Feature Engineering & Define performance metrics prior to run relevant ML/DL algorithms Research whether similar solutions have been already developed before building ML models Create optimized data models to query relevant data efficiently Run relevant ML / DL algorithms for business goal seek Optimize and validate these ML / DL models to scale Create light applications, simulators, and scenario builders to help business consume the end outputs Create test cases and test the codes pre-production for possible bugs and resolve these bugs proactively Integrate and operationalize the models in client ecosystem Document project artifacts and log failures and exceptions. Measure, articulate impact of DS projects on business metrics and finetune the workflow based on

Job Requisition ID # 25WD89404 Position overview As a Senior ML Engineer on the team, you will be responsible for leading/contributing to the design, analysis, and delivery of data-driven solutions to significant business challenges across dedicated RAG programs of work. Your expertise in Information Retrieval as a theoretical discipline and in OpenSearch/ElasticSearch as the enabling tool will drive end-to-end planning, POC-building, offline and online evaluation and features into the hands of users. The Senior MLE will work to deliver ML-driven technical solutions to customer needs in our platform. Sr MLEs help in coordinating delivery as part of multi-disciplinary stakeholder teams. T his role is hands-on, focusing on t echnical problem solving with the latest in NLP and ML technology. Our team culture is built on collaboration, mutual support, and continuous learning. As a Senior MLE, you will provide technical guidance and expertise for the team, and with other stakeholders. We emphasize an agile, hands-on, and technical approach at all levels of the team. As a group, we want to continuously improve our Machine Learning as well as our knowledge of trends and techniques relevant to our areas. Our team strives for excellence in the theory and practice of Machine Learning. We encourage personal development and knowledge sharing. Responsibilities Design and implement Machine Learning capabilities that improve Autodesk's RAG platforms Perform statistical and data analysis and exploration to generate datasets for model training and development Collaborate with other members of the team to reach better solutions, and to position our team at the cutting edge of technology and ML practice Provide technical leadership and mentorship for less-experienced members of the team to deliver key ML-powered features for our Digital Customer Platform. Partner with stakeholders, to solve important business objectives across a range of problems Translate business requirements and objectives into problems that can be solved with a combination of Data, Statistics, and Machine Learning Minimum Qualifications MS/M.Tech/M.Math/ or PhD in Computer Science, Statistics, Mathematics, Physics, Engineering, Economics, Computational Linguistics or related field. 3+ years of applicable work experience in ML Hands-on experience working with OpenSearch/ElasticSearch/Lucene/Solr on large text data Hands-on experience of NLU and integrating traditional search techniques into RAG Proficiency with the Python Machine Learning stack, e.g. Pandas, etc Knowledge of experimental design and analysis of results . Demonstrate expertise with applying Machine Learning, including both Deep Learning (PyTorch) and Classical ML (Scikit-Learn) Demonstrate experience with leading Machine Learning teams in deploying and improving ML features in production Demonstrate experience working in cross-functional teams to deliver ML solutions in production #LI-RV1 Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk - our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers. When you're an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future Join us! Salary transparency Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package. Diversity & Belonging We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: Are you an existing contractor or consultant with Autodesk Please search for open jobs and apply internally (not on this external site).

We are hiring Sr Data Scientists (5-8 yrs)/ Lead Data Scientist (8- 12 yrs)/ with strong programming skills in Python and exposure in Classical ML/ GenAi/LLM/NLP/Pricing for Tredence Analytics. Job location : Kolkata/Hyderabad/Bangalore/Gurgaon/Chennai/Pune About Tredence: Tredence is a global data science solutions provider founded in 2013 by Shub Bhowmick, Sumit Mehra, and Shashank Dubey focused on solving the last-mile problem in AI. Headquartered in San Jose, California, the company embraces a vertical-first approach and an outcome-driven mindset to help clients win and accelerate value realization from their analytics investments. The aim is to bridge the gap between insight delivery and value realization by providing customers with a differentiated approach to data and analytics through tailor-made solutions. Tredence is 2,500-plus employees strong with offices in San Jose, Foster City, Chicago, London, Toranto, and Bangalore, with the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel, and industrials as clients. As we complete 10 years of Tredence this year, we are on the cusp of an ambitious and exciting phase of expansion and growth. Tredence recently closed a USD 175 million Series B funding, which will help us build on growth momentum, strengthen vertical capabilities, and reach a broader customer base. Apart from our geographic footprint in the US, Canada & UK, we plan to open offices in few tier 2 cities in India. In 2024, we also plan to hire more than 1000 employees across markets. Tredence is a Great Place to Work(GPTW) certified company that values its employees and creates a positive work culture by providing opportunities for professional development and promoting work-life balance. At Tredence, nothing is impossible; we believe in pushing ourselves to limitless possibilities and staying true to our tagline, Beyond Possible

The Lead Data Scientist is responsible for designing, developing, and deploying advanced analytics solutions, including predictive and prescriptive outputs, insights, and visualizations to enable business users to make better data-driven decisions. The lead data scientist identifies and applies best analytical techniques to achieve business objectives, including data gathering, cleansing, and integration, statistical transformation and modeling, and feature engineering and selection. The role requires a master's degree in a quantitative field plus 5+ years of experience of relevant work experience, expert knowledge of and experience using advanced statistics and machine learning methods, and a demonstrated aptitude distilling complex business problems into clear data science and advanced analytics models and solutions that can and will be adopted and implemented. Interested candidates can share their updated resume at deepali.rawat@rsystems.com