Job Title: Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 30th May 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀 Show more Show less

Job Description Lead/Sr. Product Engineer - AI/ML We are seeking a highly skilled and experienced Sr. Product Engineer - AI/ML to join our dynamic team. As a Sr. Product Engineer, you will be responsible for designing, developing, and implementing AI/ML solutions that will drive the success of our products. This is a challenging and rewarding role that requires a strong understanding of AI/ML technologies, as well as excellent problem-solving and communication skills. We offer competitive compensation, benefits, and opportunities for growth and development. If you are passionate about AI/ML and want to be a part of a dynamic team, we encourage you to apply for this exciting opportunity. Duties and Responsibilities Collaborate with cross-functional teams to define product requirements and develop AI/ML solutions. Design and implement machine learning algorithms and models to solve complex business problems. Conduct data analysis and visualization to identify patterns and trends in large datasets. Build and maintain scalable data pipelines for data ingestion, processing, and storage. Research and evaluate new AI/ML technologies and tools to improve product performance and efficiency. Work closely with product managers to prioritize and plan product roadmap based on market trends and customer needs. Collaborate with software engineers to integrate AI/ML models into production systems. Provide technical guidance and mentorship to junior team members. Stay updated with the latest advancements and best practices in AI/ML and apply them to improve product offerings. Ensure compliance with data privacy and security regulations in all AI/ML solutions. Skills and Qualifications Strong understanding of AI/ML concepts and algorithms Proficient in programming languages such as Python, Java, or C++ Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras Familiarity with data analysis and visualization tools like Pandas, NumPy, and Matplotlib Knowledge of cloud computing platforms like AWS, Azure, or Google Cloud Experience with natural language processing (NLP) and computer vision Ability to design and implement AI/ML models from scratch Strong problem-solving and critical thinking skills Excellent communication and collaboration abilities Experience with agile development methodologies Ability to work independently and in a team environment Knowledge of software development lifecycle (SDLC) Experience with version control systems like Git or SVN Understanding of software testing and debugging processes Ability to adapt to new technologies and learn quickly Location: Trivandrum/Kochi (Infopark)/Calicut Show more Show less

Position Title: GPR Simulation Intern – Data Modelling using gprMax Location: IIT Tirupati Navavishkar I-Hub Foundation (IITTNiF) Employment Type: Internship (2-month) Reporting To: Technology Manager - Geo Intel Lab, IITTNiF Working Days: Six days a week (Monday to Saturday) Office Timings: 8:45 AM – 6:45 PM Roles and Responsibilities: 1. GPR Simulation using gprMax: Design and simulate Ground Penetrating Radar (GPR) scenarios using the open-source tool gprMax. Develop 2D and 3D models of subsurface environments with various materials, geometries, and targets (e.g., pipes, voids, cables). Conduct controlled parametric studies to analyze the effect of signal frequency, antenna configuration, and soil properties. 2. Scenario Development and Customization: Build realistic models for underground utilities, pavement layers, rebar detection, and other subsurface structures. Incorporate physical parameters such as dielectric permittivity, conductivity, and layer heterogeneity. Simulate clutter, noise, and real-world constraints to approximate field conditions. 3. Data Analysis and Visualization: Post-process synthetic radargrams using appropriate tools (MATLAB, Python, or built-in gprMax utilities). Compare simulated results with real-world data to validate models. Visualize and annotate simulation outputs to support interpretation and learning. 4. Documentation and Reporting: Maintain a simulation logbook including input parameters, mesh settings, and outcomes. Prepare technical documentation, visual summaries, and structured results for presentations and publications. Contribute to development of a simulation dataset library for training and research purposes. 5. Collaboration and Support: Coordinate with field and software development interns to integrate simulation results into broader platform development. Provide synthetic datasets for algorithm testing and platform demonstrations. Participate in group discussions and technical review meetings. Qualification: Essential: Bachelor's or Master’s degree (pursuing or recently completed) in Geophysics, Physics, Electrical Engineering, or a related field. Preferable Qualifications: Prior experience with gprMax or other FDTD-based electromagnetic simulation tools. Good understanding of GPR theory, wave propagation, and subsurface electromagnetic properties. Familiarity with MATLAB, Python (NumPy, Matplotlib), or similar data visualization libraries. Exposure to high-performance computing (HPC), Linux, or scripting for simulations is an advantage. Desired Traits: Strong theoretical foundation and interest in modelling and simulation. Detail-oriented with a methodical approach to building and testing models. Capable of working independently and managing iterative simulation workflows. Keen to explore real-world applications of computational geophysics. Show more Show less

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 30th May 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds. Show more Show less

Location: Bangalore - Karnataka, India - EOIZ Industrial Area Job Family: Engineering Worker Type Reference: Regular - Permanent Pay Rate Type: Salary Career Level: T3(A) Job ID: R-45139-2025 Description & Requirements Introduction: A Career at HARMAN Automotive We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career. Engineer audio systems and integrated technology platforms that augment the driving experience Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence Advance in-vehicle infotainment, safety, efficiency, and enjoyment About the Role- We're seeking an experienced Python Developer with expertise in Power BI to join our team. The ideal candidate will have a strong foundation in Python programming, experience with Power BI, and a passion for data analysis and visualization. What you will do Data Analysis and Visualization: Collect, analyze, and visualize data using Python and Power BI to inform business decisions. Python Development: Develop and maintain Python scripts and applications to automate data processing, analysis, and visualization tasks. Power BI Development: Design, develop, and deploy Power BI reports and dashboards to visualize data and provide business insights. Data Modeling and Transformation: Design and implement data models and transformations using Python and Power BI to prepare data for analysis and visualization. Collaboration and Communication: Collaborate with cross-functional teams to identify business requirements and communicate insights and recommendations to stakeholders. What You Need to Be Successful Experience: 3-6 years of experience in Python development and Power BI. Technical Skills: Proficient in Python programming language. Experience with Power BI, including report development, data modeling, and visualization. Familiarity with data analysis and visualization libraries, such as Pandas, NumPy, and Matplotlib. Knowledge of data modeling and transformation techniques. Experience with version control systems, such as Git. Soft Skills: Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Bonus Points if You Have Experience with other programming languages: Familiarity with other programming languages, such as C++, Python, or Java. What Makes You Eligible Knowledge of control systems: Understanding of control systems, signal processing, or image processing. Experience with version control systems: Familiarity with version control systems, such as Git. What We Offer Competitive salary and benefits package Opportunities for professional growth and development Collaborative and dynamic work environment Access to cutting-edge technologies and tools Recognition and rewards for outstanding performance through BeBrilliant Chance to work with a renowned German OEM You are expected to work all 5 days in a week You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. About HARMAN: Where Innovation Unleashes Next-Level Technolog y Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected. Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other. If you’re ready to innovate and do work that makes a lasting impact, join our talent community today! Important Notice: Recruitment Scams Please be aware that HARMAN recruiters will always communicate with you from an '@harman.com' email address. We will never ask for payments, banking, credit card, personal financial information or access to your LinkedIn/email account during the screening, interview, or recruitment process. If you are asked for such information or receive communication from an email address not ending in '@harman.com' about a job with HARMAN, please cease communication immediately and report the incident to us through: harmancareers@harman.com. HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Extensive Experience in IT data analytics projects, Hands on experience in migrating on premise ETLs to Google Cloud Platform (GCP) using cloud native tools such as BIG query, Cloud Data,Proc, Google Cloud Storage, Composer SQL concepts, Presto SQL, Hive SQL, Python (Pandas, Numpy, SciPy, Matplotlib) and Pyspark Design and implement scalable data pipelines using Google Cloud Dataflow Develop and optimize BigQuery datasets for efficient data analysis and reporting Collaborate with cross-functional teams to integrate data solutions with business processes Automate data workflows using Cloud Composer and Apache Airflow Ensure data security and compliance with GCP Identity and Access Management Mentor junior engineers in best practices for cloud-based data engineering Implement real-time data processing with Google Cloud Pub/Sub and Dataflow Continuously evaluate and adopt new GCP tools and technologies Show more Show less

Introduction A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. Your Role And Responsibilities An AI Data Scientist at IBM is not just a job title - it’s a mindset. You’ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred Education Master's Degree Required Technical And Professional Expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.)Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges. Experience in python and pyspark will be added advantage Preferred Technical And Professional Experience Experience: Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms. Strong track record in scientific publications or open-source communities Experience in full AI project lifecycle, from research and prototyping to deployment in production environments Show more Show less

Template Job Title - Decision Science Practitioner Analyst S&C GN Management Level:Analyst Location:Bangalore/ Kolkata/Hyderabad Must have skills: Data engineering with Python or pyspark Good to have skills: Gen AI Job Summary : We are seeking a highly skilled and motivated Data Science Analyst to lead innovative projects and drive impactful solutions in domains such as Consumer Tech, Enterprise Tech, and Semiconductors. This role combines designing, building, and maintaining scalable data pipelines and infrastructure, and client delivery management to execute cutting-edge projects in data science & data engineering Key Responsibilities Generative AI Expertise Develop fine-tune models for NLP, Computer Vision, and multimodal applications, leveraging GenAI frameworks. Design and implement evaluation strategies to optimize model performance (e.g., BLEU, ROUGE, FID). Architect deployment solutions, including API development and seamless integration with existing systems. Data Science and Engineering Design, build, and maintain robust, scalable, and efficient data pipelines (ETL/ELT). Work with structured and unstructured data across a wide variety of data sources. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements. Optimize data systems and architecture for performance, scalability, and reliability. Monitor data quality and support initiatives to ensure clean, accurate, and consistent data. Develop and maintain data models and metadata. Implement and maintain best practices in data governance, security, and compliance. Required Qualifications Experience: 2+ years in data engineering/data science Education: B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field Technical Skills Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL). Strong programming skills in Python, Scala, or Java. Language & Frameworks - Python, SQL, scikit-learn, TensorFlow or PyTorch Data Tools:Pandas, NumPy, Matplotlib, Seaborn Orchestration - DBT, Apache Airflow GenAI & LLM Tooling :LangChain, LlamaIndex, Hugging Face Transformers, vector databases (e.g., FAISS, Pinecone) Good knowledge of ML Ops best practices and processes. Experience with big data technologies such as Spark or Hive. Familiarity with cloud platforms like AWS, Azure, or GCP, especially services like S3, Redshift, BigQuery, or Azure Data Lake. Experience with orchestration tools like Airflow, Luigi, or similar. Solid understanding of data warehousing concepts and data modelling techniques. Good problem-solving skills and attention to detail. Preferred Skills Experience with modern data stack tools like dbt, Snowflake, or Databricks. Knowledge of CI/CD pipelines and version control (e.g., Git). Exposure to containerization (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation). Additional Information: - The ideal candidate will possess a strong educational background in quantitative discipline and experience in working with Hi-Tech clients - This position is based at our Bengaluru (preferred), Kolkata and Hyderabad office. About Our Company | Accenture Qualification Experience: 2+ years in data engineering and/or data science Educational Qualification:B tech, M tech in Computer Science, Statistics, Applied Mathematics, Engineering or related field

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : cucumber, eclipseMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while collaborating with cross-functional teams to integrate these technologies into existing systems. Your role will also require you to stay updated with the latest advancements in AI and machine learning, applying innovative approaches to solve complex problems and enhance system capabilities. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Evaluate and recommend new tools and technologies to improve team efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI applications. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Walkin Interview Only NO virtual please Job Title: AI/ML Intern Location: Bangalore Key Responsibilities: Assist in building and training machine learning models for classification, regression, clustering, or recommendation systems. Collect, clean, and preprocess data for model development. Research and implement algorithms from academic papers and technical blogs. Help deploy models using frameworks such as Flask, FastAPI, or Streamlit. Collaborate with the engineering and data teams on model evaluation and improvement. Document findings, processes, and results effectively. Desired Skills & Qualifications: Pursuing or recently completed a degree in Computer Science, Data Science, AI/ML, or a related field. Proficiency in Python and common libraries: NumPy , pandas , scikit-learn , matplotlib . Exposure to TensorFlow , PyTorch , or similar deep learning frameworks. Good understanding of ML fundamentals like supervised/unsupervised learning. Strong analytical and problem-solving skills. Familiarity with Jupyter Notebooks or Google Colab. Bonus Skills: Knowledge of NLP , computer vision , or time-series analysis . Experience with model deployment or MLOps tools. Git/GitHub knowledge for version control and collaboration.

Role & responsibilities Strong knowledge of Probability Theory, Statistics, and a deep understanding of the Mathematics behind Machine Learning Proficiency with CRISP-ML(Q) or TDSP methodologies for addressing commercial problems through data science solutions Proficiency in Python for developing machine learning models and conducting statistical analyses Strong understanding of data visualization tools and techniques (e.g., Python libraries such as Matplotlib, Seaborn, Plotly, etc.) and the ability to present data effectively Specific technical requirements: Proficiency in SQL for data processing, data manipulation, sampling, and reporting Experience working with imbalanced datasets and applying appropriate techniques Experience with time series data, including preprocessing, feature engineering, and forecasting Experience with outlier detection and anomaly detection Experience working with various data types: text, image, and video data Familiarity with AI/ML cloud implementations (AWS, Azure, GCP) and cloud-based AI/ML services (e.g., Amazon SageMaker, Azure ML) Domain experience: Experience with analyzing medical signals and images Expertise in building predictive models for patient outcomes, disease progression, readmissions, and population health risks Experience in extracting insights from clinical notes, medical literature, and patient-reported data using NLP and text mining techniques Familiarity with survival or time-to-event analysis Expertise in designing and analyzing data from clinical trials or research studies Experience in identifying causal relationships between treatments and outcomes, such as propensity score matching or instrumental variable techniques Understanding of healthcare regulations and standards like HIPAA, GDPR (for healthcare data), and FDA regulations for medical devices and AI in healthcare Expertise in handling sensitive healthcare data in a secure, compliant way, understanding the complexities of patient consent, de-identification, and data sharing Familiarity with decentralized data models such as federated learning to build models without transferring patient data across institutions Knowledge of interoperability standards such as HL7, SNOMED, FHIR, or DICOM Ability to work with clinicians, researchers, health administrators, and policy makers to understand problems and translate data into actionable healthcare insights Preferred candidate profile Experience with MLOps, including integration of machine learning pipelines into production environments, Docker, and containerization/orchestration (e.g., Kubernetes) Experience in deep learning development using TensorFlow or PyTorch libraries Experience with Large Language Models (LLMs) and Generative AI applications Advanced SQL proficiency, with experience in MS SQL Server or PostgreSQL Familiarity with platforms like Databricks and Snowflake for data engineering and analytics Experience working with Big Data technologies (e.g., Hadoop, Apache Spark) Familiarity with NoSQL databases (e.g., columnar or graph databases like Cassandra, Neo4j)

Job Description Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with 5- 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications Bachelor’s degree in Computer Science, Data Science, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack using python Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight,Athena, Glue). Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) – including indexing, search, and advance retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Good To Have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Equal Opportunity Employer Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day. Show more Show less

Job Description Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with 2-4 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications Bachelor’s degree in Computer Science, Data Science, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack using python Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight,Athena, Glue). Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) – including indexing, search, and advance retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Good To Have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Equal Opportunity Employer Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day. Show more Show less

DATA SCIENTIST EXP: 3 to 5 year Responsibilities • Data Analysis and Exploration Analyze large, complex datassets • Predictive Modeling and Machine Learning • Data Mining and Pattern Recognition • Experimentation and A/B Testing • Collaboration and Communication Requirements • Bachelors or Masters in Computer Science or Statistics. • 3 to 5 years of proven experience in data science, machine learning, or predictive analytics roles. • Working knowledge in azure cloud platform is preferred • Proficiency in programming languages commonly used in data science (e.g., Python etc). • Strong understanding of statistical analysis, hypothesis testing, and experimental design. • Experience with machine learning libraries and frameworks (e.g., TensorFlow, scikit- learn, PyTorch, etc.). • Familiarity with data visualization tools and techniques (e.g., Matplotlib etc.). • Excellent problem-solving and analytical skills with attention to detail. • Effective communication and collaboration abilities in a team environment. • Ability to manage multiple projects and prioritize tasks effectively. Show more Show less

What you'll be doing Lead development of advanced machine learning and statistical models Design scalable data pipelines using PySpark Perform data transformation and exploratory analysis using Pandas, Numpy and SQL Build, train and fine tune machine learning and deep learning models using TensorFlow and PyTorch Mentor junior engineers and lead code reviews, best practices and documentation. Designing and implementing big data, streaming AI/ML training and prediction pipelines. Translate complex business problems into data driven solutions. Promote best practices in data science, and model governance . Stay ahead with evolving technologies and guide strategic data initiatives. What we're looking for You'll need to have: Bachelor's degree or four or more years of work experience. Experience in Python, PySpark and SQL. Strong proficiency in Pandas, Numpy, Excel, Plotly, Matplotlib, Seaborn, ETL, AWS and Sagemaker Experience in Supervised learning models: Regression, Classification and Unsupervised learning models: Anomaly detection, clustering. Extensive experience with AWS analytics services, including Redshift, Glue, Athena, Lambda, and Kinesis. Knowledge in Deep Learning Autoencoders, CNN. RNN, LSTM, hybrid models Experience in Model evaluation, cross validation, hyper parameters tuning Familiarity with data visualization tools and techniques. Even better if you have one or more of the following: Experience with machine learning and statistical analysis. Experience in Hypothesis testing. Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.

Responsibilities:  Develop & Maintain Test Automation Frameworks: Design and implement test automation frameworks using Python, ensuring robustness, scalability, and maintainability.  Test Tool Development: Build custom tools and utilities for enhancing the testing process, leveraging Python and other relevant technologies.  SDET Expertise: Work closely with the development team to write efficient, reusable test code that integrates seamlessly into the CI/CD pipeline.  Test Planning & Execution: Develop and execute comprehensive test plans, including functional, regression, performance, and integration tests.  Collaboration: Work in close collaboration with development, product, and operations teams to understand software requirements and design appropriate testing strategies.  Automation Optimization: Continuously improve existing test scripts, tools, and processes to increase efficiency, reduce maintenance, and optimize test execution time.  Analytical & Problem-Solving: Use strong analytical skills to identify areas of improvement, troubleshoot issues, and provide solutions.  Continuous Improvement: Contribute to process improvements, best practices, and the adoption of new technologies that enhance testing capabilities.  Documentation: Maintain clear and thorough documentation of testing processes, tools, and frameworks.  Metrics and Reporting: Generate reports on testing metrics, providing insights into the quality of the product and areas for improvement. Qualifications:  5+ years of experience in software testing, including significant experience as an SDET or in a similar role.  Strong experience with Python: Hands-on experience developing and maintaining test automation frameworks, writing test scripts, and creating custom tools using Python.  Proficient in Automation Tools: Experience with popular automation tools and frameworks like Selenium, PyTest, Robot Framework, or similar.  Familiarity with Python Libraries: Strong experience with Python libraries such as Pandas, NumPy, Matplotlib, or SciPy for data manipulation, analysis, and visualization, especially for reporting and logging purposes in automated test cases.  Strong Analytical Skills: Proven ability to analyze complex systems, diagnose issues, and identify root causes.  Experience with CI/CD Pipelines: Familiarity with CI/CD tools such as Jenkins, GitHub, or similar.  Knowledge of Testing Methodologies: In-depth understanding of testing methodologies, test levels, and test strategies (unit, integration, functional, performance, etc.).  Database Testing & SQL: Experience with testing database-driven applications and writing SQL queries to validate data.  Version Control: Familiarity with version control tools like Git.  Problem-Solving Mindset: Strong troubleshooting and problem-solving abilities in complex systems and tools.  Communication Skills: Strong verbal and written communication skills, with the ability to explain technical concepts clearly. Preferred Skills (Nice to Have):  AI/ML Knowledge: Understanding of artificial intelligence (AI) and machine learning (ML) concepts, frameworks, and libraries like TensorFlow, PyTorch, or Scikit-learn.  GenAI Expertise: Familiarity with Generative AI (GenAI) technologies, such as GPT or similar models, and their application in automating or enhancing testing and development processes.  OCR Technology: Experience with Optical Character Recognition (OCR) technology, tools, and frameworks like Tesseract or Google Vision API, particularly in testing document processing or image-based data systems.  Cloud Testing: Experience with testing in cloud-native environments (AWS, Azure, Google Cloud).  Containerization: Familiarity with containerization technologies like Docker.  API Testing: Experience with API testing tools (e.g., Postman, REST Assured).  Performance Testing: Knowledge of performance testing tools like JMeter or LoadRunner.  Agile Methodologies: Exposure to Agile methodologies and working in Agile environments.  Test-Driven Development (TDD) or Behavior-Driven Development (BDD) experience. Show more Show less

Role: IT Trainer – Data Science & Data Analytics (EdTech) Experience Required: 3 to 6 Years Department: Training & Curriculum Development Industry: EdTech / Education Technology Key Responsibilities: 🔹 Training Delivery Conduct engaging and hands-on training sessions (live online or classroom) on Data Science and Data Analytics topics such as Python, SQL, Machine Learning, Power BI, Tableau, and Excel. Deliver curriculum-aligned content to learners at beginner to intermediate levels. Customize sessions based on learner needs, industry trends, and real-world applications. 🔹 Curriculum Development Design, update, and improve training modules, slide decks, lab exercises, assignments, and project guidelines. Collaborate with the content and academic teams to align modules with job market requirements. 🔹 Project & Case Study Supervision Guide learners through capstone projects, real-world case studies, and problem-solving exercises. Review project submissions and provide constructive feedback. 🔹 Assessment & Evaluation Develop quizzes, tests, and assessments to track learner progress. Conduct periodic evaluations and suggest improvement plans for underperforming learners. 🔹 Mentoring & Support Provide one-on-one mentorship and doubt-clearing sessions. Offer career guidance related to data roles, interview preparation, and skill improvement. 🔹 Industry Alignment Stay updated with the latest trends in data science, analytics tools, and AI/ML technologies. Integrate emerging tools and methods into training content (e.g., LLMs, Python libraries, cloud-based analytics platforms). 🔹 Tech Platform Familiarity Use LMS platforms, virtual labs, and interactive tools effectively for session delivery. Ensure timely upload of resources, attendance tracking, and learner feedback collection. Preferred Skills & Tools: Python (Pandas, NumPy, Scikit-learn, Matplotlib) SQL & RDBMS Power BI / Tableau Excel (Advanced Level) Statistics & Machine Learning Basics Jupyter Notebooks, Google Colab Familiarity with cloud tools (AWS, Google Cloud – optional) Show more Show less

Build & deploy real-time ML/AI models, analyze data, prototype features, and integrate AI via OpenAI/Gemini APIs. Req: Python, Java, TF, AWS, NLP, pipelines, comms. Bonus: MLOps, LLMs, certs. Bachelors+ in CS/Data Science preferred. Accessible workspace

Job Description The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role And Responsibilities Process mapping and identifying non value add steps / friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers’ key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical And Functional Skills Bachelor’s degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use cases: Adding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL / PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques / tools and Process Mining / Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) – Nice to have Strong communication and presentation skills. Understanding of business processes. About Us At eClerx, we serve some of the largest global companies – 50 of the Fortune 500 clients. Our clients call upon us to solve their most complex problems, and deliver transformative insights. Across roles and levels, you get the opportunity to build expertise, challenge the status quo, think bolder, and help our clients seize value About The Team eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience. eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law. Show more Show less

Job TitleData Scientist (OpenCV) Experience0"“1 Year LocationBangalore Notice PeriodImmediate Joiner Job Summary We are seeking a highly motivated and enthusiastic Data Scientist with a passion for computer vision and hands-on experience in OpenCV This is an excellent opportunity for recent graduates or early-career professionals to contribute to real-world projects involving image processing, computer vision, and machine learning. Key Responsibilities Work on image and video processing projects using OpenCV and Python. Assist in developing computer vision models for object detection, recognition, and tracking. Preprocess and analyze image datasets to extract meaningful insights. Collaborate with senior data scientists and engineers to integrate models into production environments. Conduct experiments and contribute to research-oriented tasks in the field of computer vision. Document processes, models, and results for internal review and external presentation. Required Skills Strong knowledge of OpenCV and image processing techniques. Proficiency in Python and related libraries (e.g., NumPy, Pandas, Matplotlib). Understanding of basic machine learning and deep learning concepts. Familiarity with tools like Jupyter Notebooks, TensorFlow, or PyTorch is a plus. Good problem-solving skills and attention to detail. Excellent communication and teamwork skills. Preferred Qualifications Bachelor's degree in Computer Science, Data Science, Electrical Engineering, or a related field. Internship or academic project experience in computer vision or image processing. Exposure to cloud platforms (AWS, GCP, Azure) is a plus. What We Offer A collaborative and learning-driven environment. Mentorship from experienced professionals. Opportunity to work on innovative projects with real-world impact. Competitive salary and benefits. Show more Show less

Role Data Scientist LocationBangalore TimingsFull Time (As per company timings) Notice Period(Immediate Joiner Only) Experience5 Years We are looking for a highly motivated and skilled Data Scientist to join our growing team The ideal candidate should possess a robust background in data science, machine learning, and statistical analysis, with a passion for uncovering insights from complex datasets This role demands hands-on experience in Python and various ML libraries, strong business acumen, and effective communication skills for translating data insights into strategic decisions. Key Responsibilities Develop, implement, and optimize machine learning models for predictive analytics and business decision-making. Work with both structured and unstructured data to extract valuable insights and patterns. Leverage Python and standard ML libraries (NumPy, Pandas, SciPy, Scikit-Learn, TensorFlow, PyTorch, Keras, Matplotlib) for data modeling and analysis. Design and build data pipelines for streamlined data processing and integration. Conduct Exploratory Data Analysis (EDA) to identify trends, anomalies, and business opportunities. Partner with cross-functional teams to embed data-driven strategies into core business operations. Create compelling data stories through visualization techniques to convey findings to non-technical stakeholders. Stay abreast of the latest ML/AI innovations and industry best practices. Required Skills & Qualifications 5 years of proven experience in Data Scientist and machine learning. Proficient in Python and key data science libraries. Experience with ML frameworks such as TensorFlow, Keras, or PyTorch. Strong understanding of SQL and relational databases. Solid grounding in statistical analysis, hypothesis testing, and feature engineering. Familiarity with data visualization tools like Matplotlib, Seaborn, or Plotly. Demonstrated ability to work with large datasets and solve complex analytical problems. Excellent communication and data storytelling skills. Knowledge of Marketing Mix Modeling is a plus. Preferred Skills Hands-on experience with cloud platforms like AWS, Azure, or GCP. Exposure to big data technologies such as Hadoop, Spark, or Databricks. Familiarity with NLP, computer vision, or deep learning. Understanding of A/B testing and experimental design methodologies. Show more Show less

We are seeking an experienced and innovative AI Solution Engineer to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI and Automation solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. In this role, you will be resposible for : Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Customer Engagement and SupportAct as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Bachelor’s or Master's degree in Computer Science, Artificial Intelligence, or a related field. 4+ years of experience in designing and delivering AI solutions, with a focus on foundation models, large language models, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Technical Skills: Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services is a plus. Solutioning ExperienceExperience in solution architecture and design, translating business requirements into technical specifications, and developing scalable and robust AI solutions. Business AcumenAbility to understand customer needs and business objectives. Experience in working closely with customers and translating their requirements into effective AI solutions. Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients’ business processes and cha Preferred technical and professional experience Experience in full AI project lifecycle, from research and prototyping to deployment in production environments. Familiarity with Agile development methodologies Experience with AI and/or data governance Experience with building business automation or digital labor solutions Experience with building customer care solutions/digital assistants Experience with Red Hat OpenShift Experience with Kubernetes Experience with vector DB’s or open file formats like parquet ,avro or orc

Location: Pune (Hinjewadi phase - 1) Job Type: Full-Time Job Overview: We are seeking an experienced AI and Data Scientist Engineer to design and implement data-driven AI solutions that optimize safety, operational efficiency, and compliance for industrial environments. This role involves applying advanced machine learning techniques, data modelling, and analytics to extract actionable insights and drive innovation. Key Responsibilities: 1. AI Development: Design, develop, and deploy AI algorithms and machine learning models for safety systems, predictive analytics, and process optimization. Implement computer vision and NLP solutions for AR/VR applications and industrial safety scenarios. 2. Data Analysis and Modelling: Collect, preprocess, and analyse large datasets from industrial systems and safety processes. Build predictive models, recommendation systems, and clustering algorithms to solve business challenges. 3. Integration and Deployment: Integrate AI/ML models into existing software systems, AR/VR platforms, and training simulators. Develop APIs and tools to make AI capabilities accessible across platforms. 4. Visualization and Reporting: Create intuitive dashboards and visualizations to present data insights to stakeholders. Generate detailed reports explaining analytical findings and model performance. 5. Research and Innovation: Explore and experiment with new AI technologies and frameworks to improve safety and operational efficiency. Conduct feasibility studies for integrating emerging AI techniques into industrial solutions. 6. Collaboration: Work closely with software developers, AR/VR teams, and business stakeholders to align AI solutions with company goals. Qualifications and Skills: Experience: 1-5 years in AI, data science, or related fields with proven experience deploying machine learning models in production. Programming Skills: Proficiency in Python, R, or Java with experience using libraries like TensorFlow, PyTorch, Scikit-learn, or Keras. Data Tools: Strong knowledge of SQL/NoSQL databases, Hadoop, Spark, or other big data platforms. AI/ML Expertise: Hands-on experience with supervised, unsupervised, and deep learning techniques, as well as reinforcement learning. Analytics and Visualization: Expertise in tools like Tableau, Power BI, or Matplotlib for data visualization. Cloud Platforms: Familiarity with AWS, Azure, or Google Cloud AI/ML tools. Education: Bachelors or Masters degree in Computer Science, Data Science, AI, or related fields. PhD is a plus. Preferred Skills: Experience with Safety software, IoT data, predictive maintenance, or integrating AI with AR/VR solutions is highly desirable. Personal Attributes: Strong analytical and problem-solving skills with meticulous attention to detail. Proactive and self-driven with the ability to work independently and in cross-functional teams. Excellent communication skills for explaining complex AI/ML concepts to non-technical stakeholders. A passion for innovation and continuous learning in AI and data science. Benefits: Opportunity to work on transformative AI-driven projects impacting global safety and efficiency. Exposure to advanced AI/ML technologies and cross-functional collaboration. Competitive salary with long-term career prospects. Professional development and continuous learning opportunities.

Company Profile Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries . As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture . Department Profile From global institutions to hedge funds, investors come to Morgan Stanley for sales, trading, and market-making services in almost every type of financial instrument in all the world’s financial markets. Morgan Stanley professionals use our network and technology to provide liquidity and sophisticated analysis, to manage risk and execute reliably in the fast-changing markets. Morgan Stanley’s Institutional Equity Division (IED) is a world leader in the origination, distribution and trading of equity, equity-linked and equity-derivative securities. Our broad and deep client relationships, market-leading platform and intellectual insights enable us to be a world-class service provider to our clients for their financing, market access and portfolio management needs. Global Markets Group is the offshoring arm of Morgan Stanley’s Sales & Trading businesses in India. It covers functions across IED and Fixed Income Division (FID) ranging from those associated with sales, trading, analytics, strats to risk management. Primary Responsibilities The Futures Content team is responsible for creating differentiated and value-added content and analyses around cross-asset futures markets, and engaging with institutional clients to drive Listed Derivatives revenues. We develop frameworks, rooted in a fundamental understanding of futures markets, to identify trading opportunities based on positioning, liquidity, and costs. Responsibilities For This Role Would Involve Working on Exploratory Data Analysis on historical time series data using Python (primary libraries: Pandas, Numpy, matplotlib, datetime). Pulling various stats on several market metrics like returns, liquidity, open interest changes, volumes, etc. Scheduling and running Jupyter notebooks, VBA macros that pull in the latest data inputs, refresh calculations, apply the methodology and generates positioning & liquidity reports. Automate processes through Python that can save time updating the futures model outputs. Troubleshoot errors on Python/ VBA macros that may occur while working on different frameworks. Working knowledge of Bloomberg. Skills Required (essential) 2-4 years of relevant working experience on Python, VBA and Excel Engineering Degree What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. Show more Show less

This role includes the following responsibilities and requirements: Architecture, design, development, debugging, documentation, and operation of large-scale systems designed for machine learning This includes distributed systems for data management and computation as well as web-oriented APIs and user interfaces Take pride and ownership in delivering delightful user experiences Lead other engineers and demonstrate best practices for software engineering Support and mentor junior engineers