Sr. Executive / Assistant Manager Data Scientist Godrej Agrovet Mumbai, Maharashtra, India ------------------------------------------------------------------------------------------------------------- Job Title: Sr. Executive / Assistant Manager Data Scientist Job Type: Permanent, Full-time Function: Digital Business: Godrej Agrovet Location: Mumbai, Maharashtra, India About Godrej Agrovet: Godrej Agrovet Limited (GAVL) is a diversified, Research & Development focused agri-business Company dedicated to improving the productivity of Indian farmers by innovating products and services that sustainably increase crop and livestock yields. GAVL holds leading market positions in the different businesses it operates - Animal Feed, Crop Protection, Oil Palm, Dairy, Poultry and Processed Foods. GAVL has a pan India presence with sales of over a million tons annually of high-quality animal feed and cutting- edge nutrition products for cattle, poultry, aqua feed and specialty feed. Our teams have worked closely with Indian farmers to develop large Oil Palm Plantations which is helping in bridging the demand and supply gap of edible oil in India. In the crop protection segment, the company meets the niche requirement of farmers through innovative agrochemical offerings. GAVL through its subsidiary Astec Life Sciences Limited, is also a business-to-business (B2B) focused bulk manufacturer of fungicides & herbicides. In Dairy and Poultry and Processed Foods, the company operates through its subsidiaries Creamline Dairy Products Limited and Godrej Tyson Foods Limited. Apart from this, GAVL also has a joint venture with the ACI group of Bangladesh for animal feed business in Bangladesh. For more information on the Company, please log on to www.godrejagrovet.com Roles & Responsibilities: Data Cleaning, Preprocessing & exploration: Prepare data for analysis, ensuring quality, consistency, and completeness by handling missing values, outliers, and transforming data. Explore and analyze large and complex datasets to identify patterns, trends, and anomalies Machine Learning Model Development: Build, train, and deploy machine learning models on the Databricks platform, leveraging tools such as ML flow for experiment with techniques like regression, classification, clustering, and time series analysis Model Evaluation & Deployment: Develop and select features to improve model performance, leveraging Databricks' distributed computing capabilities for efficient processing. Familiarity with CI/CD tools (e.g., Jenkins, GitLab) for automating deployment and testing of data pipelines Collaboration: Collaborate with data engineers, analysts, and business stakeholders to understand business requirements and translate them into data-driven solutions. Data Visualization and Reporting: Create visualizations and dashboards within Databricks, Power BI and other tools to communicate insights to technical and non-technical stakeholders. Continuous Learning: Stay up to date with the latest developments in data science, machine learning, and industry best practices to continually enhance skills and processes. Key Skills: Knowledge of statistical analysis techniques, hypothesis testing, and machine learning Familiarity with NLP, time series analysis, and computer vision or A/B testing Databricks and Apache Spark: Proficiency with Databricks, Spark DataFrames and MLlib Programming: Proficiency in (Python, TensorFlow, Pandas, scikit-learn, PySpark, NumPy) with experience in writing scalable code for large datasets SQL: Strong SQL skills for data extraction, manipulation, and analysis Familiarity with ML flow for tracking, model versioning, and reproducibility. Familiarity with cloud data storage and processing tools (e.g., Azure Data Lake, AWS S3). Educational Qualification: Education: Bachelors degree in Statistics, Mathematics, Computer Science, or a related field Experience: 3+ years of experience in data science or analytical role Experience: As a skilled Data Scientist, you will leverage your analytical skills to uncover insights from complex datasets, build predictive models, and inform data-driven decisions across the organization. You’ll work closely with cross-functional teams, including business, engineering, and product, to apply advanced statistical methods, machine learning, and domain knowledge to solve real-world problems. What’s in it for you? Be an equal parent Maternity support, including paid leave ahead of statutory guidelines, and flexible work options on return Paternity support, including paid leave New mothers can bring a caregiver and children under a year old, on work travel Adoption support; gender neutral and based on the primary caregiver, with paid leave options No place for discrimination at Godrej Gender-neutral anti-harassment policy Same sex partner benefits at par with married spouses Gender transition support We are selfish about your wellness Comprehensive health insurance plans, as well as accident coverage for you and your family, with top-up options Uncapped sick leave Mental wellness and self-care programmes, resources and counselling Celebrating wins, the Godrej Way Structured recognition platforms for individual, team and business-level achievements Performance-based earning opportunities https://www.godrejcareers.com/benefits/ An inclusive Godrej Before you go, there is something important we want to highlight. There is no place for discrimination at Godrej. Diversity is the philosophy of who we are as a company. And has been for over a century. It’s not just in our DNA and nice to do. Being more diverse - especially having our team members reflect the diversity of our businesses and communities - helps us innovate better and grow faster. We hope this resonates with you. We take pride in being an equal opportunities employer. We recognise merit and encourage diversity. We do not tolerate any form of discrimination on the basis of nationality, race, colour, religion, caste, gender identity or expression, sexual orientation, disability, age, or marital status and ensure equal opportunities for all our team members. If this sounds like a role for you, apply now! We look forward to meeting you. Show more Show less

This role is for one of Weekday's clients Salary range: Rs 1200000 - Rs 1500000 (ie INR 12-15 LPA) Min Experience: 4 years Location: Bengaluru JobType: full-time Requirements About the Role We're looking for a highly skilled and motivated AI Engineer to join our growing team of machine learning practitioners, data scientists, and engineers. This role is ideal for someone passionate about building cutting-edge AI solutions using modern deep learning and NLP frameworks. You will work on a wide range of problems—from training and fine-tuning large language models to deploying intelligent systems at scale—while collaborating across product, data, and engineering teams. As an AI Engineer, you will be at the core of our AI initiatives, applying your knowledge in Python, PyTorch, TensorFlow, Scikit-Learn, and other key libraries to build, optimize, and deploy high-performing models. You will also be instrumental in adopting MLOps best practices to ensure that our models are scalable, maintainable, and reproducible. Key Responsibilities Design, develop, and deploy machine learning and deep learning models for real-world AI applications with a focus on natural language processing (NLP). Leverage libraries like PyTorch, TensorFlow, and Scikit-learn to build and train custom ML/DL models. Use Hugging Face Transformers, spaCy, and other NLP libraries to fine-tune and integrate state-of-the-art models for tasks like classification, summarization, entity recognition, and question answering. Implement MLOps practices such as experiment tracking, model versioning, CI/CD pipelines, and automated deployment. Collaborate with data engineers and analysts to preprocess and clean large datasets using Pandas and NumPy. Build and maintain reusable code and model components to streamline development and promote best practices. Evaluate model performance using rigorous metrics and troubleshoot issues related to bias, overfitting, or latency. Stay updated with the latest research, tools, and trends in AI, especially in the rapidly evolving NLP domain. Work cross-functionally with product, engineering, and business teams to define AI use cases and deliver high-impact solutions. Required Skills & Qualifications 4+ years of hands-on experience as an AI/ML Engineer or similar role. Strong programming skills in Python, with deep understanding of data structures, algorithms, and OOP principles. Expertise in PyTorch and/or TensorFlow for building and deploying deep learning models. Proficiency with Scikit-Learn, Pandas, NumPy, and other core Python libraries used in ML pipelines. Solid understanding and practical experience in natural language processing (NLP) using tools such as HuggingFace, spaCy, or similar. Familiarity with MLOps workflows, including model deployment, version control, and monitoring. Experience working with cloud environments or containerization tools is a plus (e.g., Docker, Kubernetes, AWS, GCP). Strong problem-solving, analytical, and communication skills. Preferred Qualifications Master's or Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field. Experience working on production-level NLP applications. Contributions to open-source ML libraries or participation in ML research Show more Show less

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your Role And Responsibilities As a Data Engineer at IBM, you'll play a vital role in the development, design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution Your primary responsibilities include: Lead the design and construction of new solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Preferred Education Master's Degree Required Technical And Professional Expertise Experience with Apache Spark (PySpark): In-depth knowledge of Spark’s architecture, core APIs, and PySpark for distributed data processing. Big Data Technologies: Familiarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills: Strong understanding of ETL pipelines, data modeling, and data warehousing concepts. * Strong proficiency in Python: Expertise in Python programming with a focus on data processing and manipulation. Data Processing Frameworks: Knowledge of data processing libraries such as Pandas, NumPy. SQL Proficiency: Experience writing optimized SQL queries for large-scale data analysis and transformation. Cloud Platforms: Experience working with cloud platforms like AWS, Azure, or GCP, including using cloud storage systems Preferred Technical And Professional Experience Define, drive, and implement an architecture strategy and standards for end-to-end monitoring. Partner with the rest of the technology teams including application development, enterprise architecture, testing services, network engineering, Good to have detection and prevention tools for Company products and Platform and customer-facing Show more Show less

Roles and Responsibilities: As a, Associate Manager - Senior Data scientist you will solve some of the most impactful business problems for our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain experts to design and develop innovative solutions on the data to achieve predefined outcomes. - Engage with clients to understand current and future business goals and translate business problems into analytical frameworks - Develop custom models based on in-depth understanding of underlying data, data structures, and business problems to ensure deliverables meet client needs - Create repeatable, interpretable and scalable models - Effectively communicate the analytics approach and insights to a larger business audience - Collaborate with team members, peers and leadership at Tredence and client companies Qualification: - Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience. - 5+ years of experience in data science, building hands-on ML models - Experience with LMs (Llama (1/2/3), T5, Falcon, Langchain or framework similar like Langchain) - Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning - Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models - Candidate must be comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc. - Experience leading the end-to-end design, development, and deployment of predictive modeling solutions. - Excellent programming skills in Python. Strong working knowledge of Python's numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc. - Advanced SQL skills with SQL Server and Spark experience. - Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks - Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling. - Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast-paced, innovative environment - Experience with data visualization tools -- PowerBI, Tableau, R Shiny, etc. preferred - Experience with cloud platforms such as Azure, AWS is preferred but not required. Required Skills g, Pyspark, Python, SQL, GenAi, NLP, Clasical ML, DL, Supervised ML, Transformer Models, Transformers, Unsupervised ML

Job Description: Graduate degree in a quantitative field (CS, statistics, applied mathematics, machine learning, or related discipline) - Good programming skills in Python with strong working knowledge of Python's numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, etc. - Experience with LMs (Llama (1/2/3), T5, Falcon, Langchain or framework similar like Langchain) - Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning - Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models - Candidate must be comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc. - Predictive modelling experience in Python (Time Series/ Multivariable/ Causal) - Experience applying various machine learning techniques and understanding the key parameters that affect their performance - Experience of building systems that capture and utilize large data sets to quantify performance via metrics or KPIs - Excellent verbal and written communication - Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects. Roles & Responsibilities: - Lead a team of Data Engineers, Analysts and Data scientists to carry out following activities: - Connect with internal / external POC to understand the business requirements - Coordinate with right POC to gather all relevant data artifacts, anecdotes, and hypothesis - Create project plan and sprints for milestones / deliverables - Spin VM, create and optimize clusters for Data Science workflows - Create data pipelines to ingest data effectively - Assure the quality of data with proactive checks and resolve the gaps - Carry out EDA, Feature Engineering & Define performance metrics prior to run relevant ML/DL algorithms - Research whether similar solutions have been already developed before building ML models - Create optimized data models to query relevant data efficiently - Run relevant ML / DL algorithms for business goal seek - Optimize and validate these ML / DL models to scale - Create light applications, simulators, and scenario builders to help business consume the end outputs - Create test cases and test the codes pre-production for possible bugs and resolve these bugs proactively - Integrate and operationalize the models in client ecosystem - Document project artifacts and log failures and exceptions. - Measure, articulate impact of DS projects on business metrics and finetune the workflow based on feedbacks Required Skills g, Pyspark, Python, SQL, GenAi, NLP, Casical ML, DL, Supervised ML, Transformer Models, Transformers, Unsupervised ML

Job Title: Senior Data Scientist (ML/Deep Learning) Location: Gurgaon Employment Type: Full-time Department: Data Science / A3 Job Description: We are seeking a highly motivated Data Scientist with 3-5 years of experience in developing and deploying AI, deep learning and machine learning models. You will support the team in building predictive models, deploying them via APIs, and applying modern AI techniques like Transformers and LLMs. Exposure to MLOps, Git, and cloud platforms is a plus. This role offers hands-on learning in a fast-paced, real-world environment. Key Responsibilities: Experience of deploying at least 1 AI/Ml project into production. Experience with Generative AI concepts and tools, including transformer-based models (e.g., LLaMA, GPT) and frameworks like LangChain and LangGraph. Strong grasp of core machine learning algorithms, including statistical analysis, linear/logistic regression, tree-based models (e.g., Random Forest, XGBoost), and unsupervised learning techniques such as clustering Knowledge of implementing deep learning models such as CNNs, RNNs, and Transformers using PyTorch or TensorFlow for NLP and computer vision tasks. Skilled in developing and deploying scalable AI solutions using FastAPI and Docker, leveraging Generative AI for real-time insights and data processing. Basic understanding of cloud platforms such as AWS and GCP for hosting and scaling machine learning models. Proficient in Python and data libraries like Pandas and NumPy, with working knowledge of SQL for data extraction and preprocessing. Familiarity with MLOps fundamentals is a plus. Required Qualifications: Bachelor’s or Master's Degree in a quantitative field (Computer Science, Statistics, Economics, Mathematics, Operations Research, Analytics, or a related quantitative field) 3-5 years of practical experience working on end-to-end machine learning and deep learning projects, including model development, evaluation, and deployment. Show more Show less

Job Description: Graduate degree in a quantitative field (CS, statistics, applied mathematics, machine learning, or related discipline) Good programming skills in Python with strong working knowledge of Python's numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, etc. Experience with LMs (Llama (1/2/3), T5, Falcon, Langchain or framework similar like Langchain) Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models Candidate must be comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc. Predictive modelling experience in Python (Time Series/ Multivariable/ Causal) Experience applying various machine learning techniques and understanding the key parameters that affect their performance Experience of building systems that capture and utilize large data sets to quantify performance via metrics or KPIs Excellent verbal and written communication Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects. Roles & Responsibilities: Lead a team of Data Engineers, Analysts and Data scientists to carry out following activities: Connect with internal / external POC to understand the business requirements Coordinate with right POC to gather all relevant data artifacts, anecdotes, and hypothesis Create project plan and sprints for milestones / deliverables Spin VM, create and optimize clusters for Data Science workflows Create data pipelines to ingest data effectively Assure the quality of data with proactive checks and resolve the gaps Carry out EDA, Feature Engineering & Define performance metrics prior to run relevant ML/DL algorithms Research whether similar solutions have been already developed before building ML models Create optimized data models to query relevant data efficiently Run relevant ML / DL algorithms for business goal seek Optimize and validate these ML / DL models to scale Create light applications, simulators, and scenario builders to help business consume the end outputs Create test cases and test the codes pre-production for possible bugs and resolve these bugs proactively Integrate and operationalize the models in client ecosystem Document project artifacts and log failures and exceptions. Measure, articulate impact of DS projects on business metrics and finetune the workflow based on feedbacks Required Skills g, Pyspark, Python, SQL, Supervised ML, Transformer Models, Transformers, Unsupervised ML, GenAi

Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire. Offices : New York | Dallas | San Francisco | Lima | Bengaluru The below role is for our Bengaluru office. About the Role : You will work on a broad range of cutting-edge data science and machine learning problems across a variety of industries. You will be engaging with clients to understand their business context. If you are passionate to work on complex unstructured business problems that can be solved using data science and machine learning we would like to talk to you. Function : Data Science and Analysis → Data Science / Machine Learning Desired Skills & Competencies: Strong learning acumen High sense of ownership Ability to work in a fast-paced and deadline-driven environment Loves technology Highly skilled at Data Interpretation Problem solver Good exposure to machine learning concepts and algorithms Must be fluent with any one of Python, R, Java Strong in statistical & machine learning concepts Knowledge of Python Libraries - SciPy, NumPy, Pandas, I Python, Scikit-learn Knowledge of distributed big data processing (PySpark, Jupyter, Linux, AWS) Responsibilities: Hypothesis testing, insights generation, root cause analysis, factor analysis Statistical model (predictive & prescriptive) development using various statistical & machine learning techniques/algorithms Test/train the model, Improve Model accuracy, Monitor model performance Data Extraction from EDW/Big Data Platform, Dataset Preparation (creation of base data, aggregation, transformation), performing EDA Desired Experience & Education: 3 - 5 years of relevant Machine Learning experience. B. Tech from Tier-1 college / M.S or M. Tech is preferred in Computer Science, Information Technology, or similar degree. Show more Show less

Description We're on a journey to build something new a green field project! Come join our team and build new discovery and shopping products that connect customers with their vehicle of choice. We're looking for a talented Senior Applied Scientist to join our team of product managers, designers, and engineers to design, and build innovative automotive-shopping experiences for our customers. This is a great opportunity for an experienced engineer to design and implement the technology for a new Amazon business. We are looking for a Applied Scientist to design, implement and deliver end-to-end solutions. We are seeking passionate, hands-on, experienced and seasoned Senior Applied Scientist who will be deep in code and algorithms; who are technically strong in building scalable computer vision machine learning systems across item understanding, pose estimation, class imbalanced classifiers, identification and segmentation.. You will drive ideas to products using paradigms such as deep learning, semi supervised learning and dynamic learning. As a Senior Applied Scientist, you will also help lead and mentor our team of applied scientists and engineers. You will take on complex customer problems, distill customer requirements, and then deliver solutions that either leverage existing academic and industrial research or utilize your own out-of-the-box but pragmatic thinking. In addition to coming up with novel solutions and prototypes, you will directly contribute to implementation while you lead. A successful candidate has excellent technical depth, scientific vision, project management skills, great communication skills, and a drive to achieve results in a unified team environment. You should enjoy the process of solving real-world problems that, quite frankly, haven’t been solved at scale anywhere before. Along the way, we guarantee you’ll get opportunities to be a bold disruptor, prolific innovator, and a reputed problem solver—someone who truly enables AI and robotics to significantly impact the lives of millions of consumers. Key job responsibilities Architect, design, and implement Machine Learning models for vision systems on robotic platforms Optimize, deploy, and support at scale ML models on the edge. Influence the team's strategy and contribute to long-term vision and roadmap. Work with stakeholders across , science, and operations teams to iterate on design and implementation. Maintain high standards by participating in reviews, designing for fault tolerance and operational excellence, and creating mechanisms for continuous improvement. Prototype and test concepts or features, both through simulation and emulators and with live robotic equipment Work directly with customers and partners to test prototypes and incorporate feedback Mentor other engineer team members. A day in the life 6+ years of building machine learning models for retail application experience PhD, or Master's degree and 6+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Demonstrated expertise in computer vision and machine learning techniques. Basic Qualifications 3+ years of building machine learning models for business application experience PhD, or Master's degree and 6+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Preferred Qualifications Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Haryana Job ID: A2924280 Show more Show less

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Responsibilities ML engineer: 3-5 years of experience as AI/ML engineer or similar role. Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with model development and deployment processes. Proficiency in programming languages such as Python. Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (e.g., AWS) and containerization (e.g., Docker, Kubernetes). Familiarity with version control systems (e.g., GitHub). Proficiency in data manipulation and analysis using libraries such as NumPy and Pandas. Good to have knowledge of deep learning, ML Ops: Kubeflow, MLFlow, Nextflow. Knowledge on text Analytics, NLP, Gen AI Mandatory Skill Sets Gen AI, Python Preferred Skill Sets Gen AI, Python Years Of Experience Required 3 - 5 Education Qualification B.Tech / M.Tech / MBA / MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Master of Business Administration, Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Python (Programming Language) Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Show more Show less

Job Title: Python Developer Location: Vadodara, Gujarat Time: 2 pm 11 pm Job description The role of Python Developer will be to develop and maintain various software applications related to North American Power Markets. The developer will work closely with front-office analysts and traders to provide seamless support to all day-to-day operations and provide analytical excellence. Job responsibilities include writing and testing applications, debugging existing applications and creating analytical views in visualization software like Power BI. To be successful in this role, you should have core Python expertise, strong analytical skills and be able to work well in a team environment. Ultimately, you will build and maintain highly responsive applications and reports that align with our business needs. Tasks/Responsibilities: Build new tools using Python based on requirements and maintain features in our existing Python applications. Review, maintain and enhance code (Python) written by current developers Communicate with team to gather requirements, document the applications, and debug production issues on ongoing basis. Enhancing data collection procedures to include information that is relevant for building analytic systems. Processing, Cleansing, and verifying the integrity of the data used for analysis Develop and maintain cash flow analysis tools for weekly and monthly accounting. Develop and maintain automated reporting, charting, and/or dashboard tools that communicate market insights, risks, and opportunities using data visualization software such as Power BI Qualifications : Educational qualification requires minimum of Bachelor’s in Engineering, Mathematics, Statistics, or related field of study. Focus on data analytics or operations research is preferred Strong quantitative and analytics background, including advanced-level skillset in simulation, optimization, statistics, and big data management Expertise in quantitative modelling using Python. Relevant coding experience in data mining is a plus Experience with Python, Django and React JS Familiarity with python modules like Pandas, Numpy, Matplotlib and PyQt is preferred Broad understanding of databases (e.g., SQL Server) is preferred Basic Understanding of Source Control (GIT) is preferred Hands on experience with Data Visualization software such as Tableau or Power BI is a plus Strong written and verbal communication skills Team-oriented and collaborative

Job Title: Data Scientist – Deep Learning, NLP, Generative AI & Computer Vision Location: Hyderabad, India Job Type: Full-time Experience: 3–8 years Industry: IT / Artificial Intelligence / Software Services Job Summary: We are seeking a highly skilled and motivated Data Scientist with a strong background in Deep Learning, Natural Language Processing (NLP), Generative AI, and Computer Vision to join our team in Hyderabad. The ideal candidate will be responsible for designing, building, and deploying advanced AI models to solve real-world problems and drive innovation across our product lines. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field (Ph.D. preferred). 3+ years of experience in applied machine learning or data science roles. Strong expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Hands-on experience with NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). Proven experience with computer vision tools (e.g., OpenCV, YOLO, CNNs, Vision Transformers). Exposure to Generative AI models like GPT, DALL·E, or Stable Diffusion. Proficiency in Python and familiarity with libraries such as NumPy, Pandas, Scikit-learn. Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus. Excellent problem-solving skills and ability to work in a fast-paced environment. Interested can share your resume at giribabu@pranathiss.com Show more Show less

Description The U.S. Pharmacopeial Convention (USP) is an independent scientific organization that collaborates with the world’s leading health and science experts to develop rigorous quality standards for medicines, dietary supplements, and food ingredients. At USP, we believe that scientific excellence is driven by a commitment to fairness, integrity, and global collaboration. This belief is embedded in our core value of Passion for Quality and is demonstrated through the contributions of more than 1,300 professionals across twenty global locations, working to strengthen the supply of safe, high-quality medicines worldwide. At USP, we value inclusive scientific collaboration and recognize that attracting diverse expertise strengthens our ability to develop trusted public health standards. We foster an organizational culture that supports equitable access to mentorship, professional development, and leadership opportunities. Our partnerships, standards, and research reflect our belief that ensuring broad participation in scientific leadership results in stronger, more impactful outcomes for global health. USP is proud to be an equal employment opportunity employer (EEOE) and is committed to ensuring fair, merit-based selection processes that enable the best scientific minds—regardless of background—to contribute to advancing public health solutions worldwide. We provide reasonable accommodations to individuals with disabilities and uphold policies that create an inclusive and collaborative work environment. Brief Job Overview The Data Engineer position is a hands-on non-supervisory role within the Data Strategy & Analytics team. The position is an individual contributor role that will serve a critical function by designing, building, and executing efficient and governed data pipelines. This role is integral to transitioning our development of data assets into production environments. The data engineer will collaborate with the data strategy program manager and data scientists by establishing robust data processing practices and tools in support of a data science capability. The position requires some time overlap for meetings with team members based in other time zones, primarily Eastern Standard Time (EST). How will YOU create impact here at USP? As part of our mission to advance scientific rigor and public health standards, you will play a vital role in increasing global access to high-quality medicines through public standards and related programs. USP prioritizes scientific integrity, regulatory excellence, and evidence-based decision-making to ensure health systems worldwide can rely on strong, tested, and globally relevant quality standards. Additionally, USP’s People and Culture division, in partnership with the Equity Office, invests in leadership and workforce development to equip all employees with the skills to create high-performing, inclusive teams. This includes training in equitable management practices and tools to promote engaged, collaborative, and results-driven work environments. The Data Engineer has the following responsibilities: Design, build, and implement data pipelines to support advanced use cases for product grade data science products Manage data ingestion, processing and production process as well as manage tools and platforms Integrate external datasets with USP data Interface with internal and external teams of data scientists and data engineers on process development Collaborate with IT to integrate data warehouse, analytics applications, and data science platforms Support transition to agile approaches for data asset development and deployment Support transition to a SDLC approach to data asset and data science product development and deployment Who is USP Looking For? The successful candidate will have a demonstrated understanding of our mission, commitment to excellence through inclusive and equitable behaviors and practices, ability to quickly build credibility with stakeholders, along with the following competencies and experience: Bachelor’s Degree in Computer Science, Engineering, Mathematics, or related technical area Minimum 3 years of data engineering specific experience designing, building, and supporting data pipelines Experience in at least one modern relational database Strong core SQL development experience and writing efficient SQL Very strong development ability in Python including experience working with pandas, numpy, scikit-learn, selenium, beautifulsoup, and regex Hands-on experience with ETL/ELT tools and concepts Strong communication and collaboration skills with strength in working in teams Strong problem solving and time management skills Very strong learning agility- ability to pick up new tools and capabilities quickly Additional Desired Preferences Experience with SDLC and Agile work environments Experience working in cloud platforms (AWS, Azure, Google Cloud Platform, etc.) Proven ability to clearly define priorities and focus on delivering work products Ability to handle multiple priorities and complex projects in a fast-paced environment. Substantial experience with Git for version control Core data modeling ability Ability to derive data modeling decisions and data engineering strategy to meet data strategy objectives Direct experience supporting Data Science teams in moving from development to production environments Prior experience in a scientific based industry or related content area a plus (pharma, life sciences, public health, research, etc.) Experience with Apache Spark and/or pySpark Experience working in cloud platforms (AWS, Azure, Google Cloud Platform, etc.) Experience with Continuous Integration and Continuous Delivery (Deployment) software development approach Supervisory Responsibilities None, this is an individual contributor role. Benefits USP provides the benefits to protect yourself and your family today and tomorrow. From company-paid time off and comprehensive healthcare options to retirement savings, you can have peace of mind that your personal and financial well-being is protected. Note: USP does not accept unsolicited resumes from 3rd party recruitment agencies and is not responsible for fees from recruiters or other agencies except under specific written agreement with USP. Who is USP? The U.S. Pharmacopeial Convention (USP) is an independent scientific organization that collaborates with the world's top authorities in health and science to develop quality standards for medicines, dietary supplements, and food ingredients. USP's fundamental belief that Equity = Excellence manifests in our core value of Passion for Quality through our more than 1,300 hard-working professionals across twenty global locations to deliver the mission to strengthen the supply of safe, quality medicines and supplements worldwide. At USP, we value inclusivity for all. We recognize the importance of building an organizational culture with meaningful opportunities for mentorship and professional growth. From the standards we create, the partnerships we build, and the conversations we foster, we affirm the value of Diversity, Equity, Inclusion, and Belonging in building a world where everyone can be confident of quality in health and healthcare. USP is proud to be an equal employment opportunity employer (EEOE) and affirmative action employer. We are committed to creating an inclusive environment in all aspects of our work—an environment where every employee feels fully empowered and valued irrespective of, but not limited to, race, ethnicity, physical and mental abilities, education, religion, gender identity, and expression, life experience, sexual orientation, country of origin, regional differences, work experience, and family status. We are committed to working with and providing reasonable accommodation to individuals with disabilities.

Join our applied-ML team to help turn data into product features—recommendation engines, predictive scores, and intelligent dashboards that ship to real users. You’ll prototype quickly, validate with metrics, and productionise models alongside senior ML engineers. Day-to-Day Responsibilities Clean, explore, and validate datasets (Pandas, NumPy, SQL) Build and evaluate ML/DL models (scikit-learn, TensorFlow / PyTorch) Develop reproducible pipelines using notebooks → scripts → Airflow / Kubeflow Participate in feature engineering, hyper-parameter tuning, and model-selection experiments Package and expose models as REST/gRPC endpoints; monitor drift & accuracy in prod Share insights with stakeholders through visualisations and concise reports Must-Have Skills 1–2 years building ML models in Python Solid understanding of supervised learning workflows (train/validate/test, cross-validation, metrics) Practical experience with at least one deep-learning framework (TensorFlow or PyTorch) Strong data-wrangling skills (Pandas, SQL) and basic statistics (A/B testing, hypothesis testing) Version-control discipline (Git) and comfort with Jupyter-based experimentation Good-to-Have Familiarity with MLOps tooling (MLflow, Weights & Biases, Sagemaker) Exposure to cloud data platforms (BigQuery, Snowflake, Redshift) Knowledge of NLP or CV libraries (spaCy, Hugging Face Transformers, OpenCV) Experience containerising ML services with Docker and orchestrating with Kubernetes Basic understanding of data-privacy and responsible-AI principles Job Types: Full-time, Permanent Pay: From ₹19,100.00 per month Benefits: Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Fixed shift Monday to Friday Experience: Junior Machine-Learning Engineer: 1 year (Preferred) Work Location: In person

We are seeking enthusiastic candidates who have a strong Python foundation and a curious, self-motivated mindset to explore Artificial Intelligence (AI). Voxtron is offering an opportunity for technically strong and self-driven individuals to begin their journey in Artificial Intelligence. As an AI Developer Trainee , you will be directly involved in live AI-related projects and will learn through real-world problem-solving with the support and guidance of experienced team members. Key Responsibilities : Learn AI concepts and tools hands-on while contributing to ongoing development work. Work under the guidance of senior developers and technical leads to understand the application of AI in real business use cases. Take ownership of assigned tasks, explore possible AI techniques independently, and implement solutions with support from the team. Stay updated with the latest AI trends and technologies. Demonstrate initiative and problem-solving in learning new AI concepts. Required Skills & Qualifications : Minimum 1 year of practical experience in Python programming . Strong problem-solving and logical thinking abilities. Eagerness to learn and adapt to new technologies independently. Good communication skills and the ability to work collaboratively in a team environment. Understanding of basic programming principles, data structures, and algorithms. Nice to Have : Exposure to NumPy, Pandas, or other data libraries. Familiarity with Git, basic ML concepts. Job Type: Full-time Pay: ₹10,000.00 - ₹15,000.00 per month Schedule: Monday to Friday Education: Bachelor's (Required) Experience: Python: 1 year (Required) Willingness to travel: 100% (Required) Work Location: In person Application Deadline: 06/10/2025 Expected Start Date: 20/06/2025

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Analyst, Big Data Analytics & Engineering Overview: Job Title: Sr. Analyst, Data Engineering, Value Quantification Team (Based in Pune, India) About Mastercard: Mastercard is a global technology leader in the payments industry, committed to powering an inclusive, digital economy that benefits everyone, everywhere. By leveraging secure data, cutting-edge technology, and innovative solutions, we empower individuals, financial institutions, governments, and businesses to achieve their potential. Our culture is driven by our Decency Quotient (DQ), ensuring inclusivity, respect, and integrity guide everything we do. Operating across 210+ countries and territories, Mastercard is dedicated to building a sustainable world with priceless opportunities for all. Position Overview: This is a techno-functional position that combines strong technical skills with a deep understanding of business needs and requirements with 5-7 years or experience. The role focuses on developing and maintaining advanced data engineering solutions for pre-sales value quantification within the Services business unit. As a Sr. Analyst, you will be responsible for creating and optimizing data pipelines, managing large datasets, and ensuring the integrity and accessibility of data to support Mastercard’s internal teams in quantifying the value of services, enhancing customer engagement, and driving business outcomes. The role requires close collaboration across teams to ensure data solutions meet business needs and deliver measurable impact. Role Responsibilities: Data Engineering & Pipeline Development: Develop and maintain robust data pipelines to support the value quantification process. Utilize tools such as Apache NiFi, Azure Data Factory, Pentaho, Talend, SSIS, and Alteryx to ensure efficient data integration and transformation. Data Management and Analysis: Manage and analyze large datasets using SQL, Hadoop, and other database management systems. Perform data extraction, transformation, and loading (ETL) to support value quantification efforts. Advanced Analytics Integration: Use advanced analytics techniques, including machine learning algorithms, to enhance data processing and generate actionable insights. Leverage programming languages such as Python (Pandas, NumPy, PySpark) and Impala for data analysis and model development. Business Intelligence and Reporting: Utilize business intelligence platforms such as Tableau and Power BI to create insightful dashboards and reports that communicate the value of services. Generate actionable insights from data to inform strategic decisions and provide clear, data-backed recommendations. Cross-Functional Collaboration & Stakeholder Engagement: Collaborate with Sales, Marketing, Consulting, Product, and other internal teams to understand business needs and ensure successful data solution development and deployment. Communicate insights and data value through compelling presentations and dashboards to senior leadership and internal teams, ensuring tool adoption and usage. All About You: Data Engineering Expertise: Proficiency in data engineering tools and techniques to develop and maintain data pipelines. Experience with data integration tools such as Apache NiFi, Azure Data Factory, Pentaho, Talend, SSIS, and Alteryx. Advanced SQL Skills: Strong skills in SQL for querying and managing large datasets. Experience with database management systems and data warehousing solutions. Programming Proficiency: Knowledge of programming languages such as Python (Pandas, NumPy, PySpark) and Impala for data analysis and model development. Business Intelligence and Reporting: Experience in creating insightful dashboards and reports using business intelligence platforms such as Tableau and Power BI. Statistical Analysis: Ability to perform statistical analysis to identify trends, correlations, and insights that support strategic decision-making. Cross-Functional Collaboration: Strong collaboration skills to work effectively with Sales, Marketing, Consulting, Product, and other internal teams to understand business needs and ensure successful data solution development and deployment. Communication and Presentation: Excellent communication skills to convey insights and data value through compelling presentations and dashboards to senior leadership and internal teams. Execution Focus: A results-driven mindset with the ability to balance strategic vision with tactical execution, ensuring that data solutions are delivered on time and create measurable business value. Education: Bachelor’s degree in Data Science, Computer Science, Business Analytics, Economics, Finance, or a related field. Advanced degrees or certifications in analytics, data science, AI/ML, or an MBA are preferred. Why Us? At Mastercard, you’ll have the opportunity to shape the future of internal operations by leading the development of data engineering solutions that empower teams across the organization. Join us to make a meaningful impact, drive business outcomes, and help Mastercard’s internal teams create better customer engagement strategies through innovative value-based ROI narratives. Location: Gurgaon/Pune, India Employment Type: Full-Time Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Job Description: · We are seeking a highly skilled and innovative Machine Learning Engineer to join our team, specializing in the development of AI models for analytics on satellite images. In this role, you'll get to be part of an R&D team working on applying state of the art Computer Vision and AI techniques on Satellite data. Responsibilities: · Contribute across different stages of deep learning model development including data collection, data cleaning, model development, validation and deployment. · Develop AI/ML models for a wide variety of tasks spanning object detection, segmentation, tracking, image enhancements and so on. · Continuously improve the quality and performance of existing deep learning models by applying latest research in the field. · Continuously monitor and fine-tune AI models to adapt to changing conditions and improve their accuracy and efficiency. · Stay up-to-date with the latest advancements in AI, edge computing, and space technology to drive innovation in the field. · Create and maintain documentation related to the ongoing/developed processes and applications. Qualifications: · Professional Experience: 1+ years in the field of Machine Learning. · Good understanding in developing models with different architectural complexities like layer architecture, depth, convolution operations, connections etc. Should have good understanding of optimization techniques and hardware consideration. · Knowledge in areas like image classification, object detection and instance segmentation. Understanding of deep learning fundamentals including network architectures, training artefacts, overfitting and regularisation in neural networks, batch normalisation and so on. · Proficiency in python. · Proficiency in numpy and opencv. · Proficient in deep learning frameworks e.g. PyTorch or Tensorflow. Familiarity contributing and maintaining code in github. · Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field and should have taken a ML course in Bachelor’s or Master’s Degree or should have a certification from a reputed institute. · Strong problem-solving and debugging skills. · Excellent communication and teamwork abilities. · Understanding of SQL and docker technology is a bonus. · Basic understanding of Image Processing and basic understanding of Remote Sensing is a plus. Benefits: · Opportunity to work on cutting-edge AI technology for space applications. · Collaboration with a dynamic and innovative team. · Professional development and growth opportunities in a rapidly evolving field. Job Type: Full-time Pay: ₹269,687.75 - ₹1,549,646.41 per year Benefits: Paid sick time Paid time off Provident Fund Schedule: Day shift Application Question(s): Current CTC? Expected CTC? Current Location? Available for Walk-in interview? Are you an immediate joiner? Education: Bachelor's (Preferred) Experience: AI/ML: 1 year (Preferred) Location: Madhapur, Hyderabad, Telangana (Preferred) Work Location: In person

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. American Express’ Internal Audit Group (IAG) has reinvented our audit process and is leading the financial services industry with our Audit NextGen, Data-Driven Continuous Auditing, and Auditor of the Future initiatives. Each uniquely support our Winning Aspiration to be a world class internal audit function that: Provides data-driven and technology-enabled assurance Delivers timely risk insights that are business-aware and forward-looking Supports our colleagues with experiences that prepare them to be enterprise leaders Collectively, IAG’s strategic initiatives, combined with our greatest asset – our people – enable IAG to utilize advanced data analysis capabilities, provide greater and continuous assurance, and help ensure quality products and services are provided to American Express customers. IAG’s innovative Data-Driven Continuous Auditing approach has led to patent-pending technology assets over our uniquely developed audit methodology and technology enablers. We are looking for those who share our mission and aspirations and are passionate about the use of data and technology in a collaborative, people-focused environment. Why American Express? There’s a difference between having a job and making a difference. American Express has been making a difference in people’s lives for over 160 years, backing them in moments big and small, granting access, tools, and resources to take on their biggest challenges and reap the greatest rewards. We’ve also made a difference in the lives of our people, providing a culture of learning and collaboration, and helping them with what they need to succeed and thrive. We have their backs as they grow their skills, conquer new challenges, or even take time to spend with their family or community. And when they’re ready to take on a new career path, we’re right there with them, giving them the guidance and momentum into the best future they envision. Key Responsibilities Translate business risks, controls and supporting data into analytic requirements and partners with colleagues to build effective analytics and insights Responsible for multiple simultaneous audit projects of all sizes and complexity across multiple business areas within and outside of local region, in unfamiliar areas, and for different audit leaders Link analytics and insights to ongoing strategic initiatives Apply proven/ advanced data algorithms, advanced analytic and modeling techniques to draw insights essential to driving improvement initiatives Leverage Machine Learning to learn and identify patterns, early warnings, predictions about aspects/ processes touching our customers, from the wide range of Operational, Customer behavior and other structured as well as unstructured data available to us Writing, debugging and compiling codes in multiple Machine Learning environment and not limited to Python/Pyspark, Apache Spark, etc. Prototype and simulate use cases for Advanced analytics, ongoing & proactive assessment of analytic results in partnership with relevant teams, leveraging data to tell compelling business stories, with a keen focus on impact & insights Qualifications Master’s degree in Analytics, Statistics, Operations Research, Computer science, Engineering, or other related fields with atleast 3-4 years of experience in the data and analytics Technical experience with analytic coding techniques, visualization tools and creating reporting dashboards Strong experience in Python environment and libraries (scikit, nltk, pandas and numpy). Working knowledge of statistical/data mining analysis tools, relationship databases and programming languages within the Big data environment Hands on knowledge of SQL/ Hive QL, Visualization tools like Tableau, Power BI Experience with advanced analytic methods, such as machine learning, forecasting, cluster analysis, or pattern matching Track record of analyzing multiple sources of data to distill insights and drive business outcomes to help improve Customer Satisfaction Self-starter alongwith passion for continuous Innovation with a view to drive organizational improvements & impacts Excellent storytelling and visualization skills Extensive business process experience in the financial services industry, including an understanding of related products, services, features, economics and key regulations Aptitude for working with data, interpreting results, business intelligence and analytic best practices Ability to break-down a complex problem into components, solve them using data analysis, process knowledge and risk/control knowledge, and communicate data analysis, issues and control recommendations with transparency and integrity Strong written and verbal communication skills that deliver quality, actionable and beneficial feedback to management on potential control issues and solutions to close gaps Ability to lead and manage multiple projects and incorporate developmental feedback across deliverables We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

We are looking for a passionate and motivated AI/ML Python Engineer with at least 6 months of hands-on experience to join our growing team. You will work on building and deploying intelligent systems using Python, data science tools, and machine learning frameworks. This role is ideal for candidates with a solid foundation in machine learning and a strong willingness to learn and grow in a dynamic environment. Key Responsibilities: Develop and deploy machine learning models for real-world applications Work with structured and unstructured data for data cleaning, preprocessing, and analysis Build pipelines for model training, evaluation, and optimization Collaborate with cross-functional teams (data engineers, product managers, etc.) Write clean, maintainable, and well-documented Python code Use libraries like NumPy, Pandas, scikit-learn, TensorFlow/PyTorch for model development Monitor model performance and retrain models as necessary Assist in building APIs to serve ML models (Flask/FastAPI) Requirements: Bachelor’s degree in Computer Science, Engineering, or related field Minimum 6 months of relevant experience in ML/AI projects Proficiency in Python and relevant libraries (NumPy, Pandas, Scikit-learn, etc.) Understanding of basic machine learning algorithms (e.g., regression, classification, clustering) Familiarity with deep learning frameworks (TensorFlow, Keras, or PyTorch) Knowledge of data preprocessing, model evaluation metrics, and overfitting/underfitting concepts Experience working with Jupyter Notebooks, Git, and basic cloud platforms (AWS/GCP/Azure is a plus) Good to Have: Experience with NLP or computer vision projects Familiarity with MLOps tools and model deployment techniques Exposure to real-world datasets and Kaggle competitions Basic knowledge of Docker and API integration Why Join Us? Opportunity to work on impactful AI/ML projects Supportive and collaborative work culture Continuous learning and development opportunities Exposure to cutting-edge tools and technologies How to Apply: Send your resume and any project/GitHub portfolio links to hr@signoretech.com . Job Types: Full-time, Part-time, Permanent, Fresher, Contractual / Temporary, Freelance Pay: From ₹12,000.00 per month Benefits: Flexible schedule Paid sick time Paid time off Work Location: In person

Date: 4 Jun 2025 Company: Qualitest Group Country/Region: IN Key Responsibilities Design, develop, and deploy ML models and AI solutions across various domains such as NLP, computer vision, recommendation systems, time-series forecasting, etc. Perform data preprocessing, feature engineering, and model training using frameworks like TensorFlow, PyTorch, Scikit-learn, or similar. Collaborate with cross-functional teams to understand business problems and translate them into AI/ML solutions. Optimize models for performance, scalability, and reliability in production environments. Integrate ML pipelines with production systems using tools like MLflow, Airflow, Docker, or Kubernetes. Conduct rigorous model evaluation using metrics and validation techniques. Stay up-to-date with state-of-the-art AI/ML research and apply findings to enhance existing systems. Mentor junior engineers and contribute to best practices in ML engineering. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. 4–8 years of hands-on experience in machine learning, deep learning, or applied AI. Proficiency in Python and ML libraries/frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, XGBoost). Experience with data wrangling tools (Pandas, NumPy) and SQL/NoSQL databases. Familiarity with cloud platforms (AWS, GCP, or Azure) and ML tools (SageMaker, Vertex AI, etc.). Solid understanding of model deployment, monitoring, and CI/CD pipelines. Strong problem-solving skills and the ability to communicate technical concepts clearly.

ML Engineer | 3+ years | Remote | Work Timing: Standard IST Job Description: We are looking for a skilled Machine Learning Engineer with hands-on experience deploying models on Google Cloud Platform (GCP) using Vertex AI. This role involves enabling real-time and batch model inferencing based on specific business requirements, with a strong focus on production-grade ML deployments. Key Responsibilities: Deploy machine learning models on GCP using Vertex AI. Design and implement real-time and batch inference pipelines. Monitor model performance, detect drift, and manage lifecycle. Ensure adherence to model governance best practices and support ML-Ops workflows. Collaborate with cross-functional teams to support Credit Risk, Marketing, and Customer Service use cases, especially within the retail banking domain. Develop scalable and maintainable code in Python and SQL. Work with diverse datasets, perform feature engineering, and build, train, and fine-tune advanced predictive models. Contribute to model deployment in the lending space. Required Skills & Experience: Strong expertise in Python and SQL. Proficient with ML libraries and frameworks such as scikit-learn, pandas, NumPy, spaCy, CatBoost, etc. In-depth knowledge of GCP Vertex AI and ML pipeline orchestration. Experience with ML-Ops and model governance. Exposure to use cases in retail banking—Credit Risk, Marketing, and Customer Service. Experience working with structured and unstructured data. Nice to Have: Prior experience deploying models in the lending domain. Understanding of regulatory considerations in financial services. Job Type: Contractual / Temporary Contract length: 6 months Pay: ₹70,000.00 - ₹80,000.00 per month Benefits: Work from home Schedule: Monday to Friday Morning shift UK shift US shift Application Question(s): Are you ready to move Onsite | Bangalore/Pune? Education: Bachelor's (Preferred) Experience: ML Engineer: 3 years (Required)

Location : Remote/Hybrid – India Experience : 2+ years About the Role : We are looking for a sharp and hands-on Machine Learning Engineer to own the design, training, and optimization of our phishing and malware detection models. Your work will directly impact the core detection capabilities of the platform. Key Responsibilities : Build and fine-tune models for detecting phishing, impersonation, and malware Implement Deep Neural Networks (DNN) , XGBoost , and transformer-based models (BERT) Extract email metadata and textual features for supervised learning Maintain scalable model inference pipelines compatible with real-time systems Continuously improve model accuracy through feedback loops and sample injection Required Skillset : Proficient in Python for ML (Pandas, NumPy, scikit-learn, PyTorch or TensorFlow) Experience with DNN , BERT , and XGBoost model training and optimization Familiarity with NLP preprocessing and feature engineering techniques Experience with deploying models into production environments Comfort with Git and collaborative engineering workflows Qualities We Value : Analytical and detail-oriented problem solver Proactive learner with a passion for security or NLP Smart, self-driven, and ready to own key components independently Show more Show less

Primary skills: Python > Django, Flask, Pandas, Numpy, Pyramid A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to ensure Development, Validation and Support activities, to assure that our clients are satisfied with the high levels of service in the technology domain. You will gather the requirements and specifications to understand the client requirements in a detailed manner and translate the same into system requirements. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Writing efficient, reusable, testable, and scalable code, Integration of user-oriented elements into different applications, data storage solutions, Keeping abreast with the latest technology and trends If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Knowledge of design principles and fundamentals of architecture Basic understanding of project domain Writing scalable code using Python programming language. Ability to translate functional / nonfunctional requirements to systems requirements Ability to design and code complex programs Ability to write test cases and scenarios based on the specifications Good understanding of agile methodologies Awareness of latest technologies and trends Logical thinking and problem-solving skills along with an ability to collaborate Show more Show less

Company Description ModMed India is an intelligent, specialty-specific cloud platform dedicated to placing doctors and patients at the center of care. The company was founded in 2010 and has since expanded to over 4500 employees serving eleven specialties. ModMed is headquartered in Florida, USA, with offices in Santiago, Chile; Berlin, Germany; and Hyderabad, India. Role Description This is a full-time hybrid role for a Senior Data Scientist 2 at ModMed India. The role involves day-to-day tasks related to data science, statistics, data analytics, data visualization, and data analysis. While based in Hyderabad, some work from home is acceptable. Key Responsibilities : Data Modeling and Analytics : Develop and implement machine learning models, algorithms, and statistical tools to process large volumes of healthcare data for predictive insights and optimization. Data Mining and Exploration : Analyze structured and unstructured data to discover trends, correlations, and patterns that can drive new product features or enhance existing offerings. Predictive Analytics : Build predictive models to anticipate patient needs, streamline operational workflows, and improve healthcare delivery. Research and Development : Keep abreast of the latest developments in machine learning, data science, and healthcare analytics to drive innovation and improvement in ModMed’s AI offerings. Skillset & Qualification: Technical Expertise: Proficient in NLP, Gen AI & LLM with Python, R, SQL, and data manipulation libraries (e.g., Pandas, NumPy, SciPy). Strong experience with machine learning libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch). Familiarity with big data platforms like Hadoop, Spark, or AWS/GCP. Experience working with healthcare data formats (HL7, FHIR) and privacy standards (HIPAA) is a plus. Machine Learning & Statistics : Expertise in building and deploying machine learning models, including classification, regression, and clustering techniques. Education : Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related technical field. Experience : 5+ years of experience in data science, machine learning, or predictive modeling, preferably in healthcare or a similar data-rich domain. Problem Solving : Strong analytical skills with the ability to translate complex business problems into data-driven solutions. Communication : Excellent verbal and written communication skills to explain technical concepts to non-technical stakeholders. Preferred : Experience with healthcare-related analytics, including patient outcomes, clinical workflows, and operational efficiencies. Show more Show less

Indore, India Job Description : Full-time, On-site Role 5+ years of experience as an AI/ML Engineer Atleast 2+ years in a leadership or team-building role Experience in building powerful, real-world applications across various domains Strong communication skills and the ability to explain complex AI concepts to business stakeholders and clients. Experience in leading small to mid-sized teams. A product-first mindset and the ability to drive initiatives from idea to production. Passion for staying at the cutting edge of AI — especially in the era of LLMs and generative AI. Work in a collaborative, high-ownership, fast-moving tech environment You’ll be setting up the AI engine for a company already trusted for its tech excellence. If you’re seeking technical autonomy, client-facing impact, and team-building ownership , this is your place. Responsibilities : Lead the design, development, and deployment of AI/ML and Deep Learning models. Hire, train, and mentor a growing team of AI/ML engineers and data scientists. Own the architecture and tech stack decisions for the AI division. Engage in client discovery calls and pre-sales conversations to convert technical insights into business opportunities. Lead PoC development, client interviews, and project planning in collaboration with internal and external stakeholders. Stay updated with the latest in AI/ML (especially LLMs, vector search, generative AI, multi-agent chatbot) and translate advancements into real-world implementations. Qualifications : Bachelor’s or Master's degree in CS/IT / AI-ML / Data Science Python, NumPy, Pandas, Scikit-learn, PySpark Deep Learning: TensorFlow, PyTorch, Keras CNNs, RNNs, Attention Mechanisms, Transformers SVD (Singular Value Decomposition), KMean, Recency weight Text embeddings, semantic search, vector DBs (FAISS, Pinecone, Weaviate) Model Context Protocol (MCP) Model Lifecycle: Data preprocessing, training, tuning, evaluation (ROC, F1, AUC, confusion matrix) Botpress / Copilot Studio workflow and integration experience Deployment: RESTful ML APIs, Docker, AWS/GCP (SageMaker, Vertex AI), model versioning Workflow Tools: MLflow, Azure ML, Airflow, Git-based CI/CD Creating Rest APIs using FastAPI framework or equivalent Experience: 5+ yrs