1583 Pandas Jobs - Page 47

Python/Quant Engineer Key Responsibilities: Design, develop, and maintain scalable Python-based quantitative tools and libraries. Collaborate with quants and researchers to implement and optimize pricing, risk, and trading models. Process and analyze large datasets (market, fundamental, alternative data) to support research and live trading. Build and enhance backtesting frameworks and data pipelines. Integrate models with execution systems and trading platforms. Optimize code for performance and reliability in low-latency environments. Participate in code reviews, testing, and documentation efforts. Required Qualifications: 3-8 years of professional experience in quantitative development or similar roles. Proficiency in Python , including libraries like NumPy, Pandas, SciPy, Scikit-learn , and experience in object-oriented programming. Strong understanding of data structures, algorithms , and software engineering best practices. Experience working with large datasets, data ingestion, and real-time processing. Exposure to financial instruments (equities, futures, options, FX, fixed income, etc.) and financial mathematics. Familiarity with backtesting, simulation , and strategy evaluation tools. Experience with Git , Docker , CI/CD , and modern development workflows. Preferred Qualifications: Preferred Experience with C++ for performance-critical modules. Knowledge of machine learning techniques and tools (e.g., TensorFlow, XGBoost). Familiarity with SQL / NoSQL databases and cloud platforms (AWS, GCP). Prior experience in hedge funds, proprietary trading firms, investment banks, or financial data providers.

Role & responsibilities Excellent Knowledge & Understanding of Python, Pandas and Oracle, SQL. Good Knowledge & Understanding of data modelling. Flair for learning new tools & technology. 2-5 years of experience in Banking IT, with a good understanding of the Corporate and Institutional Banking activity. Knowledge of Capital Markets an asset. Good knowledge and understanding of Windows Batch or PowerShell scripting. Good knowledge in systems, application frameworks, database optimization, and experience being responsible for the success of software development projects. Proven record interpreting and fulfilling requirements by developing high performing, scalable and maintainable solutions with multiple technologies. Hands-on experience with SDLC methodologies and best practices including Waterfall Process, Agile methodologies, deployment automation, code reviews, and test-driven development. Strong coordination and organizational skills Excellent communication skills and multi-tasking capabilities. Being aware of new technologies and frameworks. Experience and knowledge of Python language features like basic data types, functions with keywords args, default args, variable length args. Experience in using Python database API with any relational database like Oracle/SQL Server using pure Python or native database driver. Experience in using built in collection types [for example: sequence types, dict, sets]. Experience in using text manipulation facilities like regex, string methods from the standard library. Experience in using file and directory manipulation modules like paths, globs from the standard library. Knowledge of widely used libraries in data science like NumPy, Pandas is a must. Visualization is a good to have but not on the mandatory path. Knowledge and Experience in using collections from the collections module will be good to have though not mandatory. Familiarity with date manipulation using modules like datetime. • Knowledge of Generators will be good to have though not mandatory Preferred candidate profile

About the Role As a Data Science Engineer, you will need strong technical skills in data modeling, machine learning, data engineering, and software development. You will have the ability to conduct literature reviews and critically evaluate research papers to identify applicable techniques. Additionally, you should be able to design and implement efficient and scalable data processing pipelines, perform exploratory data analysis, and collaborate with other teams to integrate data science models into production systems. Passion for conversational AI and a desire to solve some of the most complex problems in the Natural Language Processing space are essential. You will work on highly scalable, stable, and automated deployments, aiming for high performance. Taking on the challenge of building and scaling a truly remarkable AI platform to impact the lives of millions of customers will be part of your responsibilities. Working in a challenging yet enjoyable environment, where learning new things is the norm, you should think of solutions beyond boundaries. You should also drive outcomes with full ownership, deeply believe in customer obsession, and thrive in a fast-paced environment of learning and innovation. You will work in a challenging, consumer-facing problem space, where you can make an immediate impact. You will get to work with the latest technologies, learn to use new tools and get the opportunity to have your say in the final product. Youll work alongside a great team in an open, collaborative environment. We are part of Vimo, a well-funded, stable mid-size company with excellent salaries, medical/dental/vision coverage, and perks. Vimo is an Equal Opportunity Employer. Data Science Engineer Responsibilities: Build and maintain robust data pipelines to process data from varied sources like databases, APIs, and file systems. Harness data science tools and techniques to develop proof of concepts, evolving solutions through adept prompt engineering and fine-tuning of models like GPT. Conduct comprehensive literature reviews and critically evaluate research papers to identify innovative techniques, focusing on the latest advancements in LLM/Generative AI. Create and manage JSON APIs to expose data, machine learning services, and AI models to other systems and applications. Ensure data accuracy, completeness, and reliability through stringent quality control measures and data validation techniques. Optimize existing language models for generative AI tasks, focusing on enhancing their application across various platforms. Work in tandem with product teams to seamlessly integrate cutting-edge AI technologies, upholding the highest quality standards in product execution. Fine-tune and deploy LLMs, ensuring they are meticulously adjusted and ready for release. Engage in ongoing research and application of new methodologies to bolster the efficiency and output quality of our LLM operations. Design and develop LLMs dedicated to a range of content generation tasks, pushing the boundaries of AI's creative capabilities. Keep up to date of the latest trends and breakthroughs in NLP and large language model technology, incorporating novel approaches to refine our models. Lead experiments and analyses to fine-tune model designs and hyperparameters, ensuring superior model performance with continuous monitoring using KPIs and metrics. Demonstrate strong analytical and troubleshooting skills; and someone who enjoys owning and solving problems end-to-end. Excellent communication skills. Comfortable interacting with remote teams in multiple offices that practice agile methodologies. Requirements & Qualifications: Bachelors or masters degree in computer science, Engineering, Mathematics, Statistics, or a related field. Minimum of 2 years of experience in NLP oriented data engineering or data science roles with a significant emphasis on working with LLM/Generative AI models. Robust understanding of NLP concepts, with hands-on experience in conversational AI and expertise in natural language understanding and generation. Proficiency in Python programming and familiarity with libraries and frameworks such as Pandas, NumPy, Scikit-learn, Tensor flow, transformers, PyTorch, and Keras. Solid experience in building, maintaining, and fine-tuning large language models, with a keen understanding of prompt engineering techniques. Strong grasp of data architecture, database design, data modeling principles, and the integration of AI models into scalable systems. Experience with JSON APIs and building RESTful & GRPC web services. Excellent analytical and problem-solving skills, capable of working independently and collaboratively in a team-oriented environment. Showcase proven expertise in working with deep learning frameworks and LLMs, with a strong foundation in prompt engineering, tokenization, embeddings, model optimization, and deployment strategies. Demonstrate previous involvement in creating user-centric products leveraging ML/AI technologies, with a good understanding of predictive modeling, meta-learning, and transfer learning. Excellent problem-solving and communication skills BS degree in Information Technology, Computer Science, or relevant field Additional Experience We Would Love to Have Experience with cloud technologies such as AWS is a plus. Background in design and development of Technology for Government Health and Human Services Experience with design and development of SaaS solutions.

Responsibilities: * Collaborate with cross-functional teams on project requirements and deliverables. * Develop scalable Python apps using Django, Pandas, AWS, REST APIs, SQL.

What you’ll do: Utilize advanced mathematical, statistical, and analytical expertise to research, collect, analyze, and interpret large datasets from internal and external sources to provide insight and develop data driven solutions across the company Build and test predictive models including but not limited to credit risk, fraud, response, and offer acceptance propensity Responsible for the development, testing, validation, tracking, and performance enhancement of statistical models and other BI reporting tools leading to new innovative origination strategies within marketing, sales, finance, and underwriting Leverage advanced analytics to develop innovative portfolio surveillance solutions to track and forecast loan losses, that influence key business decisions related to pricing optimization, credit policy and overall profitability strategy Use decision science methodologies and advanced data visualization techniques to implement creative automation solutions within the organization Initiate and lead analysis to bring actionable insights to all areas of the business including marketing, sales, collections, and credit decisioning Develop and refine unit economics models to enable marketing and credit decisions What you’ll need: 5 to 8 years of experience in data science or a related role with a focus on Python programming and ML models. Strong in Python, experience with Jupyter notebooks, and Python packages like polars, pandas, numpy, scikit-learn, matplotlib, etc. Experience with ML lifecycle: data preparation, training, evaluation, and deployment Hands-on experience with GCP services for ML & data science Experience with Vector Search and Hybrid Search techniques Embeddings generation using BERT, Sentence Transformers, or custom models Embedding indexing and retrieval (Elastic, FAISS, ScaNN, Annoy) Experience with LLMs and use cases like RAG Understanding of semantic vs lexical search paradigms Experience with Learning to Rank (LTR) and libraries like XGBoost, LightGBM with LTR support Proficient in SQL and BigQuery Experience with Dataproc clusters for distributed data processing using Apache Spark or PySpark Model deployment using Vertex AI, Cloud Run, or Cloud Functions Familiarity with BM25 ranking (Elasticsearch or OpenSearch) and vector blending Awareness of search relevance evaluation metrics (precision@k, recall, nDCG, MRR) Life at Next: At our core, we're driven by the mission of tailoring growth for our customers by enabling them to transform their aspirations into tangible outcomes. We're dedicated to empowering them to shape their futures and achieve ambitious goals. To fulfil this commitment, we foster a culture defined by agility, innovation, and an unwavering commitment to progress. Our organizational framework is both streamlined and vibrant, characterized by a hands-on leadership style that prioritizes results and fosters growth. Perks of working with us: Clear objectives to ensure alignment with our mission, fostering your meaningful contribution. Abundant opportunities for engagement with customers, product managers, and leadership. You'll be guided by progressive paths while receiving insightful guidance from managers through ongoing feedforward sessions. Cultivate and leverage robust connections within diverse communities of interest. Choose your mentor to navigate your current endeavors and steer your future trajectory. Embrace continuous learning and upskilling opportunities through Nexversity. Enjoy the flexibility to explore various functions, develop new skills, and adapt to emerging technologies. Embrace a hybrid work model promoting work-life balance. Access comprehensive family health insurance coverage, prioritizing the well-being of your loved ones. Embark on accelerated career paths to actualize your professional aspirations. Who we are? We enable high growth enterprises build hyper personalized solutions to transform their vision into reality. With a keen eye for detail, we apply creativity, embrace new technology and harness the power of data and AI to co-create solutions tailored made to meet unique needs for our customers. Join our passionate team and tailor your growth with us!

Experience Required 2 to 4 years of experience in AI/ML model development, deployment, and optimization. Hands-on experience in building machine learning pipelines and working with large datasets Domain Experience (Functional) Experience in domains such as natural language processing (NLP), computer vision, predictive analytics, or recommendation systems. Exposure to industry-specific AI applications (e.g., healthcare, finance, retail, manufacturing) is a plus. Qualification Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field Roles & Responsibilities Design, develop, and deploy machine learning and deep learning models. Collaborate with data engineers and domain experts to collect, clean, and preprocess data. Conduct experiments, evaluate model performance, and iterate for improvement. Integrate AI models into production systems and monitor their performance. Stay updated with the latest research and advancements in AI/ML. Document model development processes and contribute to knowledge sharing. Technical Skills Proficient in Python and core ML libraries: TensorFlow, PyTorch, Scikit-learn. Strong with Pandas, NumPy for data handling. Solid grasp of ML algorithms, statistics, and model evaluation. Familiar with cloud platforms (AWS/Azure/GCP). Experience with Git and basic CI/CD for model deployment

Role & responsibilities We are looking for a Python Trainer with hands-on experience in Python development. The candidate should have a passion for mentoring students through structured, project-based training. Preferred candidate profile 2-4 years of Python development experience At least 2 years of experience in technical training- Familiarity with Git, Jupyter, VS Code, REST APIs Additional Skills: - API development/deployment experience. - Exposure to ML or data viz libraries.

Job Title: Software Developer (3 Years Experience) Location: Hyderabad Job Type: Full-Time Experience Required: 3+ Years Department: Technology / Engineering About the Role: We are seeking a talented and motivated Software Developer with 3 years of hands-on experience in backend and/or full-stack development. The ideal candidate should be proficient in Java, Python, Go, and JavaScript, with exposure to modern frameworks and libraries. Strong problem-solving skills and a solid foundation in algorithms and data structures are essential. Key Responsibilities: Design, develop, test, and maintain scalable software applications and services. Collaborate with cross-functional teams to define, design, and ship new features. Write clean, maintainable, and efficient code following best practices. Participate in code reviews, architecture discussions, and technical documentation. Optimize applications for performance and scalability. Debug and resolve technical issues across the stack. Required Skills & Qualifications: Bachelor's degree in Computer Science, Engineering, or related field. 3+ years of software development experience. Proficiency in: Languages: Java, Python, Go, JavaScript Frameworks/Tools (Preferred): Spring Boot, Node.js, React, Pandas Strong understanding of data structures, algorithms, and software design principles. Experience working with RESTful APIs, microservices architecture, and cloud services is a plus. Familiarity with version control systems (e.g., Git), CI/CD tools, and agile development methodologies. Nice to Have: Experience with containerization tools like Docker and orchestration platforms like Kubernetes. Familiarity with cloud platforms such as AWS, Azure, or GCP. Exposure to data processing and analytics workflows. What We Offer: Competitive salary and benefits. Opportunity to work on cutting-edge technologies. A collaborative and inclusive work environment. Professional development and growth opportunities. Candidates matching above profile can share your CVs at sandhya.dhand@kfintech.com

Role Summary: Seasoned Software Test Analyst with more than 5+ years of hands-on experience in automation testing for both web and backend systems. The ideal candidate possesses expertise in open-source automation tools, strong programming skills in Python and Java, and working knowledge of cloud environments such as AWS and Azure. Experience in the Finance and Investment domain is preferable. Key Responsibilities: Design, develop, and maintain automated test scripts using Playwright, Pytest, Selenium, Requests, Rest Assured . Perform backend and API automation testing. Write and optimize complex SQL queries in databases such as Oracle and Snowflake . Utilize NumPy and Pandas for data manipulation and validation during testing processes. Integrate and maintain automated tests in CI/CD pipelines using tools such as Jenkins and GitLab CI . Collaborate with cross-functional teams for requirement analysis, test planning, execution, and defect resolution. Ensure effective testing of cloud-based applications across AWS and Azure platforms . Apply strong logical reasoning and problem-solving skills to troubleshoot and resolve issues efficiently.

Role: Full Stack Developer (Python + React) Exp: 5+ years Location: Pune Job Description: Key Responsibilities: Develop and maintain front-end and back-end components of our applications, ensuring a seamless, intuitive user experience. Collaborate with cross-functional teams to define, design, and ship new features. Utilize strong expertise in React or Angular for front-end development, including proficiency in the Document Object Model (DOM), JSON/JSON schemas, and API integration. Apply back-end development skills using Python (Fast API, Flask, Pandas, NumPy) or NodeJS, focusing on API development and data access patterns. Implement and maintain NoSQL databases, particularly MongoDB, understanding usage patterns and trade-offs over relational databases. Leverage clinical, R&D domain experience to contribute to innovative solutions. Employ tools like Postman for API testing and debugging and participate in the design and deployment of CI/CD pipelines. Ensure code quality, organization, and automatization by adhering to best practices in coding standards and documentation. Qualifications: 5+ years of hands-on experience as a Full Stack Developer. We are okay to assess lead Senior/lead profiles as long as they are capable of individually contributing to the project. Strong knowledge of front-end languages and libraries (e.g., HTML/CSS, JavaScript, XML, jQuery). Experience with back-end languages (e.g., Python, Node.js) and JavaScript frameworks (e.g., React, Angular). Familiarity with database technology such as NoSQL (MongoDB) and image processing. Experience with cloud services (AWS PaaS & Serverless), API Gateway, Lambda, Fargate, ECS. Understanding of general CI/CD principles and AWS-based Cloudformation/CDK. Good to have: Experience in the clinical or R&D domain, including any imaging experience (even at PoC level). Interested candidates can share their resume at Neesha1@damcogroup.com

Location : Vadodara (Onsite only) Job Summary: We are looking for a highly skilled and experienced AI/ML Engineer with 8 to 10 years of relevant experience in developing end-to-end machine learning solutions. The ideal candidate will be well-versed in deep learning, natural language processing (NLP), computer vision, and large language models (LLMs). You will be responsible for designing, developing, and deploying scalable AI models tailored to real-world business use cases. Key Responsibilities: Design, train, evaluate, and deploy machine learning and deep learning models aligned with business goals. Work with various ML tasks such as classification, regression, and clustering. Handle NLP, LLMs, computer vision, and speech-to-text use cases. Implement and fine-tune models like LLaMA, Falcon, BERT, T5 Transformer, and Hugging Face models. Use libraries such as NumPy, Pandas, Matplotlib, SpaCy, Scikit-learn, TensorFlow, and PyTorch. Write clean, efficient Python code for data processing and model development. Utilize tools like Google Colab, Jupyter Notebook, and AWS SageMaker for experimentation and deployment. Monitor data drift and automate model retraining pipelines as required. Deploy AI models on cloud infrastructure (preferably AWS) using services like SageMaker, EC2, ECS, and Kubernetes. Collaborate with cross-functional teams to translate complex problems into AI solutions. Good to Have: Experience working with LangChain or LLaMAIndex . Familiarity with RAG-based (Retrieval-Augmented Generation) application development. Hands-on experience with Google Cloud Platform (GCP) for model deployment.

signdesk is looking for Consultant- AI Developer to join our dynamic team and embark on a rewarding career journey Develops AI-powered applications and tools for business use cases Builds machine learning models and optimizes their deployment Works closely with clients to define AI strategy and solutions Contributes to research, documentation, and training modules

job requisition idJR1027352 Job Summary Synechron is seeking an analytical and innovative Senior Data Scientist to support and advance our data-driven initiatives. The ideal candidate will have a solid understanding of data science principles, hands-on experience with AI/ML tools and techniques, and the ability to interpret complex data sets to deliver actionable insights. This role contributes to the organizations strategic decision-making and technology innovation by applying advanced analytics and machine learning models in a collaborative environment. Software Required Skills: Python (including libraries such as pandas, scikit-learn, TensorFlow, PyTorch) proficiency in developing and deploying models R (optional, but preferred) Data management tools (SQL, NoSQL databases) Cloud platforms (preferably AWS or Azure) for data storage and ML deployment Jupyter Notebooks or similar interactive development environments Version control tools such as Git Preferred Skills: Big data technologies (Spark, Hadoop) Model deployment tools (MLflow, Docker, Kubernetes) Data visualization tools (Tableau, Power BI) Overall Responsibilities Analyze and interpret large and complex data sets to generate insights for business and technology initiatives. Assist in designing, developing, and implementing AI/ML models and algorithms to solve real-world problems. Collaborate with cross-functional teams including data engineers, software developers, and business analysts to integrate models into production systems. Stay current with emerging trends, research, and best practices in AI/ML/Data Science and apply them to ongoing projects. Document methodologies, modeling approaches, and insights clearly for technical and non-technical stakeholders. Support model validation, testing, and performance monitoring to ensure accuracy and reliability. Contribute to the development of data science workflows and standards within the organization. Performance Outcomes: Accurate and reliable data models that support strategic decision-making. Clear documentation and communication of findings and recommendations. Effective collaboration with technical teams to deploy scalable models. Continuous adoption of best practices in AI/ML and data management. Technical Skills (By Category) Programming Languages: Essential: Python (best practices in ML development), SQL Preferred: R, Java (for integration purposes) Databases/Data Management: SQL databases, NoSQL (MongoDB, Cassandra) Cloud data storage solutions (AWS S3, Azure Blob Storage) Cloud Technologies: AWS (S3, EC2, SageMaker, Lambda) Azure Machine Learning (preferred) Frameworks & Libraries: TensorFlow, PyTorch, scikit-learn, Keras, XGBoost Development Tools & Methodologies: Jupyter Notebooks, Git, CI/CD pipelines Agile and Scrum processes Security Protocols: Best practices in data security and privacy, GDPR compliance Experience 8+ years of professional experience in AI, ML, or Data Science roles. Proven hands-on experience designing and deploying ML models in real-world scenarios. Demonstrated ability to analyze complex data sets and translate findings into business insights. Previous experience working with cloud-based data science solutions is preferred. Strong portfolio showcasing data science projects, models developed, and practical impact. Alternative Pathways: Candidates with extensive research or academic experience in AI/ML can be considered, provided they demonstrate practical application of skills. Day-to-Day Activities Conduct data exploration, cleaning, feature engineering, and model development. Collaborate with data engineers to prepare data pipelines for model training. Build, validate, and refine machine learning models. Present insights, models, and recommendations to technical and business stakeholders. Support deployment of models into production environments. Monitor model performance and iterate to improve effectiveness. Participate in team meetings, project planning, and reviewing progress. Document methodologies and maintain version control of codebase. Qualifications Bachelors degree in Computer Science, Mathematics, Statistics, Data Science, or a related field; Masters or PhD highly desirable. Evidence of relevant coursework, certifications, or professional training in AI/ML. Professional certifications (e.g., AWS Certified Machine Learning Specialty, Microsoft Certified Data Scientist) are a plus. Commitment to ongoing professional development in AI/ML methodologies. Professional Competencies Strong analytical and critical thinking to solve complex problems. Effective communication skills for technical and non-technical audiences. Demonstrated ability to work collaboratively in diverse teams. Aptitude for learning new tools, techniques, and technologies rapidly. Innovation mindset with a focus on applying emerging research. Strong organizational skills to manage multiple projects and priorities.

Job Summary- Data Scientist with good hands-on experience of 3+ years in developing state of the art and scalable Machine Learning models and their operationalization, leveraging off-the-shelf workbench production. Job Responsibilities- 1. Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib 2. Proficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.) 3. Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence 4. Good understanding of any of the cloud platform - AWS, Azure or GCP 5. Understanding of Commercial Pharma landscape and Patient Data / Analytics would be a huge plus 6. Should have an attitude of willingness to learn, accepting the challenging environment and confidence in delivering the results within timelines. Should be inclined towards self motivation and self-driven to find solutions for problems. 7. Should be able to mentor and guide mid to large sized teams under him/her Job - 1. Strong experience on Spark with Scala/Python/Java 2. Strong proficiency in building/training/evaluating state of the art machine learning models and its deployment 3. Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering 4. Proficiency in Core NLP techniques like Text Classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, etc. Understanding of Generative AI / Large Language Models / Transformers would be a plus

Job Summary- Data Scientist with good hands-on experience of 6+ years in developing state of the art and scalable Machine Learning models and their operationalization, leveraging off-the-shelf workbench production. Job Responsibilities- Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib Proficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.) Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence Good understanding of any of the cloud platform – AWS, Azure or GCP Understanding of Commercial Pharma landscape and Patient Data / Analytics would be a huge plus Should have an attitude of willingness to learn, accepting the challenging environment and confidence in delivering the results within timelines. Should be inclined towards self motivation and self-driven to find solutions for problems. Should be able to mentor and guide mid to large sized teams under him/her Job - Strong experience on Spark with Scala/Python/Java Strong proficiency in building/training/evaluating state of the art machine learning models and its deployment Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering Proficiency in Core NLP techniques like Text Classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, etc. Understanding of Generative AI / Large Language Models / Transformers would be a plus

JOB OBJECTIVE Manager with good hands-on experience of 6+ years in developing state of the art and scalable Machine Learning models and their operationalization, leveraging off-the-shelf workbench production. KEY RESPONSIBILITIES Necessary Skills – 6+ years of experience of model development using Python/PySpark libraries. Development on Databricks or Dataiku DSS (Data Science Studio) environment would be a plus Strong experience on Spark with Scala/Python/Java Strong proficiency in building/training/evaluating state of the art machine learning models and its deployment Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering Proficiency in Core NLP techniques like Text Classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, etc. Understanding of Generative AI / Large Language Models / Transformers would be a plus Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib Proficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.) Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence Good understanding of any of the cloud platform – AWS, Azure or GCP Understanding of Commercial Pharma landscape and Patient Data / Analytics would be a huge plus Should have an attitude of willingness to learn, accepting the challenging environment and confidence in delivering the results within timelines. Should be inclined towards self motivation and self-driven to find solutions for problems. Should be able to mentor and guide mid to large sized teams under him/her

Position Summary This Requisition is for the Employee Referral Campaign. We are seeking high-energy, driven, and innovative Data Scientists to join our Data Science Practice to develop new, specialized capabilities for Axtria, and to accelerate the company’s growth by supporting our clients’ commercial & clinical strategies. Job Responsibilities Be an Individual Contributor tothe Data Science team and solve real-world problems using cutting-edge capabilities and emerging technologies. Help clients translate the business use cases they are trying to crack into data science solutions. Provide genuine assistance to users by advising them on how to leverage Dataiku DSS to implement data science projects, from design to production. Data Source Configuration, Maintenance, Document and maintain work-instructions. Deep working onmachine learning frameworks such as TensorFlow, Caffe, Keras, SparkML Expert knowledge in Statistical and Probabilistic methods such as SVM, Decision-Trees, Clustering Expert knowledge of python data-science and math packages such as NumPy , Pandas, Sklearn Proficiency in object-oriented languages (Java and/or Kotlin),Python and common machine learning frameworks(TensorFlow, NLTK, Stanford NLP, Ling Pipe etc Education Bachelor Equivalent - Engineering Master's Equivalent - Engineering Work Experience Data Scientist 3-5 years of relevant experience in advanced statistical and mathematical models and predictive modeling using Python. Experience in the data science space prior relevant experience in Artificial intelligence and machine Learning algorithms for developing scalable models supervised and unsupervised techniques likeNLP and deep Learning Algorithms. Ability to build scalable models using Python, R-Studio, R Shiny, PySpark, Keras, and TensorFlow. Experience in delivering data science projects leveraging cloud infrastructure. Familiarity with cloud technology such as AWS / Azure and knowledge of AWS tools such as S3, EMR, EC2, Redshift, and Glue; viz tools like Tableau and Power BI. Relevant experience in Feature Engineering, Feature Selection, and Model Validation on Big Data. Knowledge of self-service analytics platforms such as Dataiku/ KNIME/ Alteryx will be an added advantage. ML Ops Engineering 3-5 years of experience with MLOps Frameworks like Kubeflow, MLFlow, Data Robot, Airflow, etc., experience with Docker and Kubernetes, OpenShift. Prior experience in end-to-end automated ecosystems including, but not limited to, building data pipelines, developing & deploying scalable models, orchestration, scheduling, automation, and ML operations. Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure, or GCP). Programming languages like Python, Go, Ruby, or Bash, a good understanding of Linux, knowledge of frameworks such as Keras, PyTorch, TensorFlow, etc. Ability to understand tools used by data scientists and experience with software development and test automation. Good understanding of advanced AI/ML algorithms & their applications. Gen AI :Minimum of 4-6 years develop, test, and deploy Python based applications on Azure/AWS platforms.Must have basic knowledge on concepts of Generative AI / LLMs / GPT.Deep understanding of architecture and work experience on Web Technologies.Python, SQL hands-on experience.Expertise in any popular python web frameworks e.g. flask, Django etc. Familiarity with frontend technologies like HTML, JavaScript, REACT.Be an Individual Contributor in the Analytics and Development team and solve real-world problems using cutting-edge capabilities and emerging technologies based on LLM/GenAI/GPT.Can interact with client on GenAI related capabilities and use cases.

Job TitleSenior RWE Manager Job Location-Hyderabad/Gurugram Job Responsibilities- Develop and execute comprehensive RWE strategies by leading the end-to-end process of study conceptualization, including protocol development, statistical analysis planning, and implementation of complex observational studies utilizing advanced epidemiological methods. Lead teams in designing and implementing sophisticated cohort identification algorithms using structured and unstructured data, and direct large-scale data projects using multiple real-world data sources by overseeing data extraction, cleaning, and standardization while ensuring compliance and data reproducibility. Guide the implementation of advanced statistical methods for confounding control and bias mitigation and oversee the development and validation of models for patient stratification, treatment response prediction, and adverse event detection. Develop and maintain strategic partnerships with external stakeholders (key opinion leaders, data vendors, technology partners) while leading the evaluation and selection of fit-for-purpose data sources, analytical tools, and platforms. Establish and implement standard operating procedures for the RWE practice, including documentation standards, quality control processes, and validation requirements. Manage direct reports; Coach & Mentor junior team members in advanced analytical methods and oversee the development of reusable analytical frameworks and code libraries. Monitor and optimize project performance metrics (financial, operational, compliance), implement corrective actions, and maintain comprehensive documentation for audits. Qualification- Advanced degree (PhD, MD, PharmD) with focus in biostatistics, epidemiology, or related quantitative field 8-10+ years of hands-on experience in health data science and real-world evidence generation with strong understanding of statistical concepts and methodologies Demonstrated expertise in observational research methodology and causal inference Strong track record of leading complex analytical projects using healthcare databases Experience with regulatory-grade real-world evidence studies Must have Skills: - Advanced programming skills in Python (pandas, numpy, scikit-learn) and R (tidyverse, survival) Expertise in SQL for complex data manipulation in healthcare databases Proficiency in handling claims data (medical, pharmacy), understanding of coding systems (ICD-10, CPT, HCPCS, NDC) and experience with standardized vocabularies (SNOMED, RxNorm, LOINC) Experience with different RWD data sources (Optum, Marketscan, Healtverity, etc) and common data models (OMOP, PCORnet) Demonstrated ability to develop and validate various statistical algorithms Strong knowledge of statistical methods for confounding control and bias mitigation Experience with electronic health record data extraction and processing Expertise in implementing causal inference methods (PS matching, IPTW, g-methods) Behavioural Attributes (1) ability to execute assigned tasks both independently and collaboratively with minimal supervision (2) Proactiveness in identifying solutions to challenges (3) Growth mindset demonstrated through intellectual curiosity, critical thinking, and a drive for collective business success. Skills that give you an edge- Knowledge of distributed computing platforms (Spark, Hadoop) Expertise in natural language processing for unstructured EHR data Proficiency in version control systems (Git) and collaborative development Knowledge of FDA & EMA guidelines for RWE and regulatory submissions Knowledge of privacy frameworks (HIPAA, GDPR) and clinical data security Strong analytical skills to solve and model complex business requirements are a plus. We will provide– (Employee Value Proposition) Offer an inclusive environment that encourages diverse perspectives and ideas Deliver challenging and unique opportunities to contribute to the success of a transforming organization Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-developmentonline Axtria Institute, knowledge sharing opportunities globally, learning opportunities through external certifications Sponsored Tech Talks & Hackathons Possibility to relocate to any Axtria office for short and long-term projects Benefit package -Health benefits -Retirement benefits -Paid time off -Flexible Benefits -Hybrid /FT Office/Remote

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: We are seeking a highly skilled Full Stack Python Developer to join our dynamic team. The ideal candidate should have a strong background in tool development, data science, and automation of complex tasks. You will be responsible for developing high volume regression dashboard, parametric and power tools and contributing to both front-end and back-end development. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. Technical Skills: Python Proficiency in Python programming, including libraries like Pandas, NumPy, and SciPy for data science. Full Stack Development Experience with both front-end (HTML, CSS, JavaScript, React, Vue.js) and back-end (Django, Flask) technologies. Tool Development Ability to develop parametric and power tools, possibly using frameworks like Vue.js , PyQt or Tkinter for GUI development. Data Science Strong understanding of data analysis, machine learning (using libraries like scikit-learn, TensorFlow), and data visualization (using Matplotlib, Seaborn). Automation Experience in automating complex tasks using scripting and tools like Selenium, Airflow, or custom automation scripts. Soft Skills: Problem-Solving Ability to tackle complex problems and develop innovative solutions. Communication Strong communication skills to effectively collaborate with team members and stakeholders. Adaptability Flexibility to adapt to new technologies and methodologies. Experience: Projects Previous experience in developing tools and automation solutions. Industry Knowledge Familiarity with the specific industry or domain you're working in can be a plus. Key Responsibilities: Develop and maintain parametric and power tools using Python. Design and implement automation solutions for complex tasks. Collaborate with data scientists to analyze and visualize data. Build and maintain web applications using Django or Flask. Develop front-end components using HTML, CSS, JavaScript, and React. Integrate third-party APIs and services. Optimize applications for maximum speed and scalability. Write clean, maintainable, and efficient code. Troubleshoot and debug applications. Stay updated with the latest industry trends and technologies. Preferred Qualifications: Bachelor's degree in Computer Science, Engineering, or related field. Previous experience in tool development and automation. Familiarity with industry-specific tools and technologies.

Job Summary: We are looking for a highly skilled Data Scientist with deep expertise in time series forecasting, particularly in demand forecasting and customer lifecycle analytics (CLV). The ideal candidate will be proficient in Python or PySpark, have hands-on experience with tools like Prophet and ARIMA, and be comfortable working in Databricks environments. Familiarity with classic ML models and optimization techniques is a plus. Key Responsibilities • Develop, deploy, and maintain time series forecasting models (Prophet, ARIMA, etc.) for demand forecasting and customer behavior modeling. • Design and implement Customer Lifetime Value (CLV) models to drive customer retention and engagement strategies. • Process and analyze large datasets using PySpark or Python (Pandas). • Partner with cross-functional teams to identify business needs and translate them into data science solutions. • Leverage classic ML techniques (classification, regression) and boosting algorithms (e.g., XGBoost, LightGBM) to support broader analytics use cases. • Use Databricks for collaborative development, data pipelines, and model orchestration. • Apply optimization techniques where relevant to improve forecast accuracy and business decision-making. • Present actionable insights and communicate model results effectively to technical and non-technical stakeholders. Required Qualifications • Strong experience in Time Series Forecasting, with hands-on knowledge of Prophet, ARIMA, or equivalent Mandatory. • Proven track record in Demand Forecasting Highly Preferred. • Experience in modeling Customer Lifecycle Value (CLV) or similar customer analytics use cases – Highly Preferred. • Proficiency in Python (Pandas) or PySpark – Mandatory. • Experience with Databricks – Mandatory. • Solid foundation in statistics, predictive modeling, and machine learning Locations: Mumbai/Pune/Noida/Bangalore/Jaipur/Hyderabad

Seeking a passionate Python Developer (Fresher) to work on innovative projects in Python, AI, and ML. Great opportunity to build and maintain high-quality product features and grow your skills in a dynamic, collaborative environment.

Hi, We are hiring Python Developer with 4+ years of experience. This is a full-time, Work from Office job in Hyderabad/Pune location. Please send your resume to recruiter1@lightuptechnologies.com Mandatory requirements for resume submission: All employments start (Date of Joining) and end (Last Working Date) dates with the month and year. All educational details, including start and end dates with month and year. A mobile number, email ID, and LinkedIn profile URL should be provided for all profiles. Candidate PAN card copy, Aadhar card copy, Passport copy, and resume. Candidates missing any of the above documents will not be considered. Current CTC Expected CTC Current Location Notice Period: 10 Days (Immediate joiners only) CTC: 4 LPA -8 LPA (Based on your Interview) Mandatory Skills: Microservices, Flask and FastAPI Roles and Responsibilities: Having experience in python development, creating APIs, problem solving, debugging and working on API automation scripts using python. Must have experience in Microservices Must have experience in Flask and FastAPI. Able to build an API using Flask and Fast API. Should have hands-on PostgresQL and SQLAlchemy. Should be able to create and consume Restful web Services Having a good experience in Pandas, Numpy, data structures, MongoDB and openCV. Exposure to writing python code with multi-threading and multiprocessing. Worked on agile methodology. Worked on data visualization libraries like matplotlib, openCV and reportLAb. Writing efficient, reusable, testable, and scalable code. Good hands on scripting experience Multi-process and multi-thread architecture. Performance tuning and automation of applications. Testing and debugging software applications with Python test framework tools Coming up with digital tools for online traffic monitoring. Ability to integrate databases and various data sources into a unified system. Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field. 4+ years of professional experience in Python Developer.

Responsibilities: Design and develop AI models and algorithms. Build and train ML systems. Process large datasets. Deploy models to production. Collaborate with teams to integrate AI solutions. Ensure model accuracy. Stay updated with AI trends. Health insurance Leave encashment Maternity leaves Paternity leaves Course reimbursements Capability building program Prevention of sexual harrassment policy

Key Responsibilities: Design, develop, and maintain scalable and optimized ETL pipelines using Python and SQL. Work with Google BigQuery and other cloud-based platforms to build data warehousing solutions. Develop and deploy ML models; collaborate with Data Scientists for productionizing models. Write efficient and optimized SQL queries for large-scale data processing. Build APIs using Flask/Django for machine learning and data applications. Work with both SQL and NoSQL databases including Elasticsearch. Implement data ingestion using batch and streaming technologies. Ensure data quality, integrity, and governance across the data lifecycle. Automate and optimize CI/CD pipelines for data solutions. Collaborate with cross-functional teams to gather data requirements and deliver solutions. Troubleshoot and monitor data pipelines for seamless operations. Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. 5+ years of experience with Python in a data engineering and/or ML context. Strong hands-on experience with SQL, BigQuery, and cloud data platforms (preferably GCP). Practical knowledge of ML concepts and experience developing ML models. Proficiency in frameworks such as Flask and Django. Experience with NoSQL databases and data streaming technologies. Solid understanding of data modeling, warehousing, and ETL frameworks. Familiarity with CI/CD tools and automation best practices. Excellent communication, problem-solving, and collaboration skills.

Responsibilities: * Design, develop, test & maintain Python applications using Django/Flask. * Collaborate with cross-functional teams on project delivery.