Work experience - 4 - 8 years GenAI (2+ yrs). Must have working expereince in LangChain, Rag, Transformers, LLM, Open AI. Must have worked on Rag Architecture Transformer fine tuning, etc Notice Period - Immediate to 30 days only Responsibilities:• Design and implement advanced solutions utilizing Large Language Models (LLMs).• Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions.• Conduct research and stay informed about the latest developments in generative AI andLLMs.• Develop and maintain code libraries, tools, and frameworks to support generative AIdevelopment.• Participate in code reviews and contribute to maintaining high code quality standards.• Engage in the entire software development lifecycle, from design and testing todeployment and maintenance.• Collaborate closely with cross-functional teams to align messaging, contribute toroadmaps, and integrate software into different repositories for core system compatibility.• Possess strong analytical and problem-solving skills.• Demonstrate excellent communication skills and the ability to work effectively in a teamenvironment.Primary Skills:• Natural Language Processing (NLP): Hands-on experience in use case classification,topic modeling, Q&A and chatbots, search, Document AI, summarization, and contentgeneration.AND/OR• Computer Vision and Audio: Hands-on experience in image classification, objectdetection, segmentation, image generation, audio, and video analysis.• Generative AI:o Proficiency with SaaS LLMs, including Lang chain, llama index, vectordatabases, Prompt engineering (COT, TOT, ReAct, agents). Experience withAzure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/videomodalities.o Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch andhuggingface. Techniques such as quantization, LLM finetuning using PEFT,RLHF, data annotation workflow, and GPU utilization. • Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloudcertification is preferred.• Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, andGit.

We are seeking an experienced Senior Data Science Engineer to join our innovative team. As a Machine Learning and Generative AI Specialist, you will play a critical role in developing and deploying advanced ML models and algorithms to drive data-driven decision-making processes. Here are the key responsibilities and desired skills: 1. Algorithm Development:<ul><li>Design and implement machine learning algorithms for various applications, including natural language processing (NLP), recommendation systems, and predictive analytics.</li><li>Leverage your expertise in deep learning and generative AI to create innovative solutions.</li></ul>2. Data Processing and Analysis:<ul><li>Collect, preprocess, and analyze large-scale datasets.</li><li>Apply statistical techniques and feature engineering to extract meaningful insights from data.</li></ul>3. Model Training and Evaluation:<ul><li>Train and fine-tune ML models using Python and relevant libraries (e.g., TensorFlow, PyTorch).</li><li>Evaluate model performance using appropriate metrics and iterate to improve accuracy and efficiency.</li></ul>4. Deployment and Monitoring:<ul><li>Deploy ML models to production environments (e.g., cloud platforms such as Azure, AWS, or GCP).</li><li>Monitor model performance, troubleshoot issues, and ensure robustness and reliability.</li></ul>5. Collaboration and Communication:<ul><li>Collaborate with cross-functional teams, including data scientists, engineers, and product managers.</li><li>Communicate results and insights effectively to technical and non-technical stakeholders.</li></ul> Desired Skills: • Machine Learning: Strong knowledge of ML algorithms, including supervised and unsupervised learning.• Generative AI: Experience with generative models (e.g., GANs, VAEs) and their applications.• Python: Proficiency in Python for data analysis, model development, and scripting.• Cloud Platforms: Hands-on experience with Azure, AWS, or GCP for model deployment and scalability.• Natural Language Processing (NLP): Understanding of NLP techniques, sentiment analysis, and

Role: Data ScientistLocation: Chennai (Work from Office)Experience: 6-9 YearsPrefer Immediate to 20 days notice period Skills and Qualifications:Proven experience as a Data Scientist with a focus on document extraction, information retrieval, or similar areas.Strong expertise in machine learning algorithms and techniques (e.g., supervised/unsupervised learning, deep learning, transfer learning, NLP).Hands-on experience with document processing frameworks such as Tesseract, Google Cloud Vision, AWS Textract, or similar tools for OCR and document extraction.Proficiency in programming languages such as Python or R, and experience with machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, etc.Experience with NLP libraries (e.g., SpaCy, NLTK, Hugging Face Transformers) for document processing and text analytics.Familiarity with cloud platforms such as AWS, GCP, or Azure, particularly for deploying machine learning models and handling large-scale data.Experience in data wrangling using SQL, Pandas, or other data manipulation tools for handling both structured and unstructured data.Experience with data visualization tools (e.g., Matplotlib, Seaborn, Plotly, or Tableau) to present findings effectively.Solid understanding of data structures, algorithms, and statistical methods for processing large datasets efficiently.Familiarity with big data technologies such as Apache Spark or Hadoop is a plus.Strong problem-solving skills and ability to manage complex projects in a fast-paced environment.Excellent communication skills for effectively conveying complex technical concepts to both technical and business audiences. Education:Batchelor's or Master’s or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related field. Preferred Experience:6-9 years of experience in data science, particularly with a focus on document extraction and NLP.Experience in developing production-level machine learning models in an industry setting.Experience with Agile development methodologies and version control systems like Git.

MUST GO ONSITE IN CHENNAI 5x/weekMUST HAVE: 30 days OR LESS notice period Required Skills & Experience<ul><li>The Data Scientist role will be a part of a Gen AI project</li><li>This team develops the software and project lifecycle from R&D and Manufacturing across all plants across the globe</li></ul> Job Description<ul><li>7+ years of experience as a Data Scientist </li><li>Experience with Sagemaker an analytics/AI-ML AWS services </li><li>Experience in python programming and ML phases life cycle </li><li>Working experience in frameworks like Flask & PySpark </li><li>Good understanding of machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc. </li><li>Understanding of SQL & how to write efficient queries for pulling the data from database</li></ul>

Role: Sr Data ScientistExperience level: 5 to 8 yearsLocation: Chennai Who are we?Crayon Data is a leading provider of AI-led revenue acceleration solutions, headquartered in Singapore with a local presence in India and the UAE. The company was founded in 2012 with the vision of simplifying the world’s choices. Our flagship platform, maya.ai, helps enterprises across the Banking, Fin-tech, and Travel industries create and capture sustainable revenue streams by unlocking the value of data.maya.ai's capability is driven by four “as a Service” components - Data, Recommendation, Customer Experience, and Marketplace - that work individually and together to create tangible results. Crayon Data recently won the E50 awards organized by KPMG and the Business Times in Singapore. Crayon was featured in HFS Hot Vendors Compendium in 2021. They were also among the top 15 finalists at Emerging Enterprise Awards 2019, Singapore. Job overview:In this role, you’ll be part of our Data Science team. With a track record of innovation and taking large ML-based products from conception to delivering value, you will be responsible for developing ML and deep learning models to improve innovation within our Knowledge Graph curation. Your success will result in informed decision-making and stakeholder empowerment for Knowledge Graph use cases within Crayon. You will also directly impact the evolution of our content catalogue. Can you say “Yes, I have!” to the following?· 5+ years of experience with developing solutions using machine learning, operation research and pattern searching methods on large scale data.· B.E/B.Tech/MS in Machine Learning, Computer Science, Applied Statistics, Mathematics, or related fields. PhD is a plus· Good understanding of statistical models like hierarchical models, stochastic models, time series, survival and econometric models· Expert in at least one of the deep learning frameworks such as PyTorch, MxNet, or Tensorflow· Hands-on experience in using Spark (Scala or Pyspark) to process data at large scale and database schema design for ML pipelines a must· Contribution to open-source ML packages/research publications will be a huge bonus Can you say “Yes, I will!” to the following?· 5+ years of experience with developing solutions using machine learning, operation research and pattern searching methods on large scale data.· Good understanding on statistical models like hierarchical models, stochastic models, time series, survival and econometric models· Expert in at least one of the deep learning frameworks such as PyTorch, MxNet, Tensorflow.· Hands-on experience in using Spark (Scala or Pyspark) to process data at large scale and database schema design for ML pipelines a must· Contribution to open-source ML packages/research publications will be a huge bonus Brownie points for:Alignment with The Crayon Box of Values -- because skills can be acquired, but values cannot!

Job description The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling, Gen AI / LLM along with the ability to derive actionable insights from complex data sets. Role & responsibilities <ul><li>Data Collection and Preprocessing:</li><li>Acquire, clean, and preprocess data from various sources to ensure data quality and reliability.</li><li>Work with big data technologies and tools for efficient data processing.</li><li>Exploratory Data Analysis (EDA):</li><li>Conduct exploratory data analysis to understand data patterns, trends, and anomalies.</li><li>Identify relevant variables and features for further analysis.</li><li>Statistical Modeling and Machine Learning:</li><li>Develop and implement statistical models and machine learning algorithms to solve business problems.</li><li>Perform predictive modeling, classification, clustering, and regression analysis as needed.</li><li>Evaluate model performance and make improvements using techniques like cross-validation and hyperparameter tuning.</li><li>Collaboration and Communication:</li><li>Collaborate with cross-functional teams, including data engineers, business analysts, and software developers.</li><li>Communicate technical concepts and results to non-technical stakeholders in a clear and understandable manner.</li><li>Provide guidance and support to team members on data-related tasks and projects.</li></ul> Preferred candidate profile <ul><li>Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.</li><li>Proven experience in data analysis, machine learning, and statistical modeling.</li><li>Proficiency in programming languages such as Python, R, or SQL.</li><li>Familiarity with GenAI and implementing LLM</li><li>Familiarity with machine learning libraries/frameworks (e.g., TensorFlow, scikit-learn, PyTorch).</li><li>Experience with big data platforms (e.g., Hadoop, Spark) and cloud services (e.g., AWS, Azure) is a plus.</li><li>Strong analytical and problem-solving skills with attention to detail.</li><li>Excellent communication and collaboration abilities.</li><li>Ability to work independently and manage multiple projects simultaneously.</li></ul> Note:Work Location: Chennai, Bengaluru, Pune, Coimbatore.Work time: 2 pm to 11pm.Work Mode: Hybrid

About OEC OEC provides high-quality technology solutions to automakers and their franchised dealers which facilitate the sale of Original Equipment (OE) replacement parts. Using advanced, leading technology, OEC in the past 20 years, has extended this mission by providing constant support for over 50 international auto brands, and more than 150,000 dealership and repair customers worldwide, being now a leader in the segment of the automotive market through continued innovation and subject matter expertise. We power connections to keep our world up and running. OEC is the leading technology provider for the automotive aftersales industry, creating networks that support manufacturers, dealers, repairers, and insurers to allow our connected customers and vehicle owners to thrive. Job Summary/Objective Leads OEC in the discovery of information hidden in vast amounts of data to assist in making smarter decisions to deliver even better products. Leads teams using large data sets to find opportunities for product and process optimization and models to test the effectiveness of different courses of action. Oversees strategy and policy around documentation of processes, models, applications, and procedures. Key Responsibilities & Duties (essential to the job) <ul><li>Leads discussions with key stakeholders to understand the underlying needs of the business and formulate, communicate and create buy-in for analytics approaches and solutions.</li><li>Drives discussion around architecture for building large and complex information sets; Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.</li><li>Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.</li><li>Leads Data Science team in discussion and policy. Helps communicate and formulate vision for Data Science team and execute on that plan.</li><li>Deploys and maintains machine learning models/services using best practices to ensure performance and availability.</li><li>Develops ad hoc analytics to support requests from OEC’s various lines of business.</li><li>Empowers others to use the modeled data through Power BI through the creation of easy-to-use datasets.</li><li>Establishes links across existing data sources and finds new, interesting data correlations.</li></ul> Data analysis: <ul><li>Proficient in independently analyzing data in SǪL Server, Azure databases. Capable of writing queries, slicing and dicing the data as required and identifying the underlying patterns.</li><li>Responsible for identifying and reporting data insufficiencies. Effectively communicate with stakeholders to obtain the necessary data, ensuring no compromise on data sufficiency.</li><li>Thorough understanding of data flow from source to target, including functional aspects of SSIS and Azure Data Factory is a plus.</li></ul> Model building: <ul><li>Brainstorm different methodologies to approach the business objective, shortlist multiple models, analyze the results and choose the best one for final implementation.</li><li>Document all the analysis findings.</li><li>Perform rigorous model validation and testing to ensure robustness and reliability.</li></ul> Communication: <ul><li>Periodically communicate the findings and progress to the stakeholders and obtain feedback.</li><li>Iterate and improve models based on stakeholder feedback.</li></ul> Deployment: Possess strong ability to write deployment scripts and closely work with DevOps engineer in creating deployment pipelines to deploy the ML model to Dev, ǪA and Production environments. Cloud resource estimates: <ul><li>Provide accurate estimates of cloud resource requirements aligned with business objectives.</li><li>A responsible tech steward who closely monitors cloud resource usage and take action to control costs.</li></ul> Tools and technologies expertise must have: Python, Azure Data Factory, SǪL, Azure ML, Git, Azure(Cloud), Built ML model Tools and technologies expertise good to have: SSIS, ADF, Data Flow, ML OPS, Cloud Resource Estimation Libraries and Frameworks: Pandas, NumPy, Pytorch, Hugging Face, Langchain, SKlearn Trends in industry: Tech enthusiast and an avid follower of latest trends in AI space and AI concepts such as GenAI, RAG, LLMs. Soft Skills: <ul><li>Strong analytical and problem-solving skills.</li><li>Ability to work collaboratively in cross-functional teams.</li><li>Excellent time management and organizational skills.</li></ul> Educational Ǫualifications: <ul><li>Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.</li><li>Relevant certifications in data science, machine learning, or cloud platforms (e.g., Microsoft Certified: Azure Data Scientist Associate) are a plus.</li></ul> Years of Experience: <ul><li>5+ yrs of work experience in Data Science</li></ul> Perks and Benefits: <ul><li>Competitive salary and benefits</li><li>Group Medical Insurance</li><li>ICICI Bank Multi Wallet</li><li>Collaborative workspace</li><li>Flexible working hours</li><li>Hybrid working model</li></ul> What Makes Working at OEC Awesome? We have a new OEC Technology Centre of Excellence in Chennai, India! Our team is beyond thrilled to work with the new office, but we’re even more excited for the innovation and creativity that this living space will certainly inspire! We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. OEC India has been selected as one of the ‘Top 25 Safest Workplaces in India’ by KelpHR. OEC provides equal employment opportunities (EEO)to all employees and applicants for employment without regard to race, colour, religion, creed, gender, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, national origin, age, disability, genetic information or characteristics, marital status, familial status, veteran or military status, status regarding public assistance, membership or activity in a local commission, or any other protected status in accordance with applicable federal, state and local laws.

<ul><li>Building end-to-end ML systems (Including traditional ML models and Conversational AI) and deploying them to operate at scale.</li><li>Research and devise innovative statistical models/ML models for data analysis</li><li>Develop and maintain RAG (Retrieval-Augmented Generation) applications. Implement changes to algorithms to improve AI performance and retrieval techniques.</li><li>Use predictive modeling to increase and optimize customer service experience and supply chain optimization.</li><li>Identify patterns in data using statistical modeling, develop custom data models and algorithms to apply to data sets.</li><li>Work with business partners throughout the organization to find opportunities for using company data to drive solutions.</li><li>Working with project managers to establish objectives for AI systems.</li></ul> Minimum QualificationsSkills and Qualifications:<ul><li>Bachelor’s degree (or equivalent) in computer science, statistics, applied mathematics, or related discipline</li><li>Experience solving problems with Conversational AI in a production environment for a High-tech Manufacturing Industry</li><li>4+ years of experience in Python and ML packages (NumPy, Keras, Seaborn, Scikit-learn).</li><li>Excellent understanding of machine learning techniques and algorithms such as, Regression models, kNN, SVM,NB, Decision Trees.</li><li>Expertise/Familiarity with one or more deep learning frameworks such as TensorFlow, PyTorch.</li></ul> Min 4+ years of experience in Python & Machine learning, SQL, Azure, NLP Artificial intelligence (TensorFlow, Conversational AI is good to have)If Btech - 4+ yrs of experience in Python & Machine learning - NLP Artificial intelligence (TensorFlow, Conversational AI is good to have)Mtech / PHD - 3+ yrs years of experience in Python & Machine learning - NLP Artificial intelligence (TensorFlow, Conversational AI is good to have)Product Company Experience is a must. Education - Tier -1 colleges like (IIT, IIIT, VIT, NIT)Either tier one college or should be from product companies.Good communication skillsEducational Qualification: candidates with CGPA above 7.5 or 75%

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Data Scientist Jobs in Chennai, Tamil Nadu

Data Scientist Gen AiNovember 18, 2024

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