18 Scikit Learn Jobs

As a Research Assistant at our institution, you will have the opportunity to contribute to cutting-edge research in various domains such as Artificial Intelligence, Medical Image Analysis, Clinical Neuroscience, and more. Your primary responsibility will involve providing advanced modeling and medical image analytics support to projects within SCMIA. You will lead the development, testing, and implementation of Deep learning/machine learning models while also managing the computational and administrative requirements of the NVIDIA DGX A100 GPU Server. Collaboration will be a key aspect of your role as you work closely with a diverse team including clinicians, radiologists, technicians, surgeons, and other engineers. In addition to technical tasks, you will be responsible for developing and maintaining test scripts, documentation, and training materials for new recruits and students. Moreover, you will have the opportunity to contribute to scientific journal publications and receive advanced training on new tools to enhance your skill set. To be successful in this role, you should possess a minimum qualification of M.Tech/M.S./M.E./M.Sc. or equivalent in relevant fields such as Computer Science, Information Technology, Electronics and Telecommunication, Data Sciences and AI, or Applied Mathematics. Alternatively, a Ph.D. degree in one of the research domains with a focus on medical imaging will be considered. Preference will be given to candidates with hands-on experience in areas such as data analytics/modelling, data science, machine learning, clinical trial protocols, Python programming, medical image analysis, and Unity 3D development. Salary and emoluments for this position will be as per the SIU norms and commensurate with your experience and educational qualifications. If you are interested in joining our team, please submit your detailed resume, including any relevant qualifications and publications, along with a cover letter via email to head@scmia.edu.in by the 15th of August, 2025. We look forward to receiving your application and potentially welcoming you to our research team.,

The role of a member in the New Analytics Team based in Hyderabad involves understanding business processes and data to model requirements for creating analytics solutions. You will be responsible for building predictive models and recommendation engines using cutting-edge machine learning techniques to enhance the efficiency and effectiveness of business processes. Your tasks will include churning and analyzing data to identify actionable insights and patterns for business use. Additionally, you will assist the Function Head in data preparation and modeling tasks as required. Collaboration with both business and IT teams is essential for understanding and collecting data. Your responsibilities will also include collecting, collating, cleaning, processing, and transforming large volumes of primarily tabular data comprising numerical, categorical, and some textual information. Applying data preparation techniques such as data filtering, joining, cleaning, missing value imputation, feature extraction, feature engineering, feature selection, dimensionality reduction, feature scaling, and variable transformation will be a part of your routine tasks. You will be expected to apply basic algorithms like linear regression, logistic regression, ANOVA, KNN, various clustering methods, SVM, Naive Bayes, decision trees, principal components, and association rule mining. Additionally, ensemble modeling algorithms like bagging (Random Forest), boosting (GBM, LGBM, XGBoost, CatBoost), time-series modeling, and other state-of-the-art algorithms will also be utilized as required. Your role will involve employing modeling concepts such as hyperparameter optimization, feature selection, stacking, blending, K-fold cross-validation, bias and variance, and combating overfitting. Building predictive models using state-of-the-art machine learning techniques for regression, classification, clustering, recommendation engines, etc., will be a key part of your responsibilities. Furthermore, you will analyze business data to uncover hidden patterns and insights, identify explanatory causes, and make strategic recommendations based on your findings. To excel in this role, you should hold a BE/B. Tech degree in any stream and possess strong expertise in Python libraries like Pandas and Scikit Learn. Proficiency in coding according to the outlined requirements is essential. Experience with Python editors such as PyCharm and/or Jupyter Notebooks is a must, along with the ability to organize code into modules, functions, and/or objects. Knowledge of using ChatGPT for machine learning will be advantageous, while familiarity with basic SQL for querying and Excel for data analysis is necessary. Understanding basics of statistics, including distributions, hypothesis testing, and sampling techniques, is a prerequisite. Experience with Kaggle and familiarity with R are desirable. Ideal candidates will have a minimum of 4 years of experience solving business problems through data analytics, data science, and modeling, with at least 2 years of full-time experience as a data scientist. They should have worked on at least 3 projects involving ML model building that were utilized in production by businesses or other clients. Your primary responsibilities will include spending 35% of your time on data preparation for modeling, 35% on building ML/AI models for various business requirements, 20% on performing custom analytics to provide actionable insights to the business, and 10% on assisting the Function Head in data preparation and modeling tasks as needed. Candidates without familiarity with deep learning algorithms, image processing and classification, and text modeling using NLP techniques will not be considered for selection. For applying to this position, please email your application to careers@isb.edu.,

You will be responsible for architecting and delivering Automation and AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. Working closely with business stakeholders, you will understand business requirements and design custom AI solutions to address complex challenges. This role offers the opportunity to accelerate AI adoption across the business landscape in the Statistical Applications and Data domain. Your key responsibilities include defining and leading AI use cases in clinical projects from start-up through close-out. This involves tasks such as protocol development, site management, and data review. To excel in this role, you must be a proficient programmer capable of developing AI solutions thoroughly. Additionally, you will be expected to coach and mentor junior AI/ML engineers to enhance and accelerate AI adoption in business processes. Required Technical Skills: - Bachelors degree in a relevant scientific discipline (e.g., Biomedical engineering, Life Sciences, Nursing, Pharmacy) or clinical background (e.g., MD- Doctor of Medicine OR RN - Registered Nurse) - Advanced degree (e.g., Masters or Ph.D.) in Data Science, AI/ML - Overall experience of 10-12 years with a minimum of 5-7 years in clinical research, particularly managing clinical trials in pharmaceutical, biotechnology, or contract research organization (CRO) settings - Minimum of 5-7 years of experience in AI research and development, specifically focusing on healthcare or life sciences applications - Strong understanding of clinical trial regulations and guidelines, including Good Clinical Practice (GCP), International Conference on Harmonization (ICH), and applicable local regulations - Proven track record in designing and delivering AI solutions, emphasizing foundation models, large language models, or similar technologies - Experience in natural language processing (NLP) and text analytics is highly desirable - Proficiency in programming languages such as Python, R, and experience with AI frameworks like TensorFlow, PyTorch, or Hugging Face - Knowledge of libraries such as SciKit Learn, Pandas, Matplotlib, etc. - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services is a plus - Experience working with large datasets, performing data pre-processing, feature engineering, and model evaluation - Proficiency in solution architecture and design, translating business requirements into technical specifications, and developing scalable and robust AI solutions In summary, this role requires a seasoned professional with a strong background in AI, clinical research, and technical expertise to drive innovation and AI adoption in the pharmaceutical domain, particularly in clinical settings.,

The role of VP Data Scientist in Thane involves driving analytics opportunities in the BFSI sector, overseeing project delivery, managing teams and stakeholders. The ideal candidate should possess a robust background in advanced analytics, with a history of leading impactful analytics solutions and programs for Indian clients. Additionally, the candidate must have experience in establishing and supervising large-scale Business Intelligence units. With over 15 years of relevant experience, the right candidate should showcase expertise in various areas including data processing and data science libraries of Python such as NumPy, Pandas, Scikit learn. They should also demonstrate proficiency in handling massive datasets through tools like Apache Spark, Vaex, Dask, and leveraging them for machine learning algorithms development. Moreover, the candidate is expected to be well-versed in analytical models like promotion optimization, NLP, Cluster Analysis, Segmentation, Neural network models, Logistic Regression, ANN based model, LSTM, Transformers, and more. Familiarity with cloud-based analytics platforms like Azure, GCP, or AWS is crucial. Experience in automating model training, deployment, and monitoring using ML-Ops pipelines is preferred. Key responsibilities for this role include stakeholder management, project planning, scope definition, and project methodology explanation to stakeholders. The VP Data Scientist will lead end-to-end project deliverables, ensure adherence to SOPs, and provide training to junior team members. Managing a team of 20+ data scientists, overseeing project delivery, and addressing business challenges are essential aspects of this role. The ideal candidate should hold a degree in BE/B.Tech./MCA/M.Tech. and demonstrate deep expertise in Python, SAS. They must possess a strong track record of successful project management, stakeholder engagement, and team leadership within the BFSI sector.,

As an Enterprise AI Platform Solution Architect, your primary responsibility will be to ideate and formulate a pragmatic blueprint using Deep learning for the development of AI solutions. You will work closely with a cross-functional team of talented engineers to design and create advanced and efficient AI-based solutions for business problems. Collaboration with engineers, researchers, and data specialists will be crucial in implementing best practices in coding and maintaining code repositories. You will be required to maintain the quality and responsiveness of AI platforms, ensuring that they meet the requirements derived from client meetings and workshops. Additionally, you will contribute to writing comprehensive proposals and work within an agile environment to deliver assigned tasks within specified timelines. Adhering to software development best practices and coding standards will be essential to improve quality and productivity. In this role, you will guide, coach, and lead a team of engineers specializing in AI, full-stack development, QA automation, and DevOps. Your expertise should include a strong educational background in Computer Science or a related field, along with 8-12 years of experience in live industry projects at an enterprise level. Domain expertise in areas such as NLP, Computer Vision, or Cyber Security (Data Science) will be beneficial. Proficiency in Python Programming, TensorFlow, Sci-kit learn, Keras, and other relevant libraries for AI & Machine Learning is required. You should have a strong ability to manipulate data using Pandas, Numpy, and other Python libraries, supporting data munging and cleansing activities. Experience in Agile methodology, CI-CD patterns, and working with Microservices, APIs, and Docker containers is essential. Your skills should also include hands-on experience with relational databases, writing SQL queries, and understanding enterprise application architecture. Proficiency in tools and technologies such as Python, TensorFlow, PyTorch, Django/Flask, MySQL, Git, Bitbucket, Jira, Confluence, and cloud platforms like Google Cloud, AWS, and Azure will be valuable for this role.,

As a seasoned Data Analyst with over 10 years of experience, you will play a crucial role in the development and implementation of data analytics strategies, frameworks, and methodologies that are in line with the goals and objectives of the organization. Your primary responsibility will be to drive the identification and exploration of data-driven opportunities to optimize business performance, enhance operational efficiency, and achieve strategic objectives. You will collaborate closely with senior leaders and stakeholders to define analytical requirements, establish key performance indicators (KPIs), and develop metrics to measure business performance and progress. Additionally, you will design and implement advanced analytical models and algorithms to extract insights, uncover patterns, and make predictions using large and complex data sets. Your expertise in data analysis, statistical modeling, and machine learning techniques will be instrumental in addressing complex business problems and supporting strategic decision-making. Furthermore, you will be tasked with developing and maintaining data governance frameworks, data quality standards, and data management practices to ensure the accuracy, integrity, and consistency of data assets. In this role, you will lead cross-functional teams in the design and delivery of data visualizations, dashboards, and reports that effectively communicate insights and drive action. It will be essential for you to stay updated with emerging trends, technologies, and best practices in data analytics and provide recommendations for their adoption to enhance analytical capabilities. Mentoring and coaching junior analysts to foster their professional growth and supporting their development of advanced analytical skills will also be part of your responsibilities. You will collaborate closely with data engineering teams to ensure efficient data collection, integration, and preparation for analysis purposes. Presenting complex findings, insights, and recommendations to senior leaders and stakeholders in a clear, concise, and compelling manner will be crucial. Moreover, you will play a key role in fostering a data-driven culture within the organization by promoting the value of data, advocating for data-driven decision-making, and driving data literacy initiatives. Requirements: - Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science. A Master's or Ph.D. degree is strongly preferred. - 10+ years of extensive experience as a Data Analyst, with a significant portion of experience in a senior or lead role. - Proven track record of designing and implementing data analytics strategies and driving successful data-driven initiatives. - Expert proficiency in SQL for data extraction, manipulation, and analysis. - Advanced programming skills in Python/R for statistical analysis, predictive modeling, and machine learning. - In-depth knowledge of statistical analysis techniques, predictive modeling, and advanced machine learning algorithms. - Strong experience with data visualization tools such as Tableau, Power BI, or similar. - Extensive experience with data blending, preprocessing, and automation tools within PowerBi or similar. - Solid understanding of database structures, data warehousing concepts, and data governance principles. - Exceptional analytical and problem-solving skills, with the ability to tackle complex business challenges and provide innovative solutions. - Excellent leadership, strategic thinking, and stakeholder management abilities. - Exceptional communication and presentation skills, with the ability to influence and inspire stakeholders at all levels of the organization. - Proven ability to work independently, manage multiple projects, and prioritize effectively. Preferred Qualifications: - Experience in implementing data analytics solutions in cloud platforms such as AWS, Azure, or Google Cloud. - Knowledge of big data technologies such as Hadoop, Spark, or similar. - Familiarity with data science platforms and libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Strong business acumen and the ability to align data analysis efforts with organizational goals and strategies. - Experience in leading and managing cross-functional teams.,

The Senior Data Science Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. Key Responsibilities: 1. Architecting & Scaling Agentic AI Solutions: - Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. - Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. - Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development & Optimization: - Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. - Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. - Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation & Research: - Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. - Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. - Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy & Business Impact: - Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. - Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. 5. Mentorship & Capability Building: - Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. - Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents.,

At Skillsoft, we propel organizations and individuals towards growth through transformative learning experiences. We firmly believe that every team member possesses the potential to achieve greatness. Join us in our mission to revolutionize learning and assist individuals in unlocking their full potential. As a Sr. Analyst Instructional Designer (Tech Content Strategist) specializing in Data, you will play a pivotal role in developing engaging and effective learning experiences within the Data domain. Your responsibilities will involve leading the entire content development process, from planning and scripting to reviewing and enhancing content for Data. You will need to leverage your instructional design expertise to create learner-centered content that caters to various learner personas and real-life scenarios. Collaboration with visual designers, editors, and technical experts will be essential to ensure that the content is presented in a compelling and accessible format. Your primary responsibilities will include owning the content development lifecycle for Data, designing creative and impactful learning experiences based on instructional design principles, scripting engaging digital content, collaborating with cross-functional teams, aligning content with industry certification frameworks, identifying learning gaps, and utilizing Generative AI tools to enhance content creation. To excel in this role, you should have a minimum of 5+ years of practical experience in data analytics or related fields, proficiency in instructional design, excellent scripting and communication skills, creativity, storytelling ability, programming knowledge (Python and SQL), familiarity with data libraries, and experience with data visualization tools. Additionally, relevant certifications in Data and familiarity with Generative AI tools and instructional design models will be advantageous. Skillsoft is a leading provider of online learning, training, and talent solutions aimed at helping organizations maximize the potential of their workforce. By offering immersive and engaging content, Skillsoft empowers organizations to develop the skills necessary for success in today's competitive landscape. As a partner to numerous global organizations, Skillsoft offers award-winning systems and platforms to support learning, performance, and overall success. If you are intrigued by this opportunity, we encourage you to apply and be a part of our journey towards transforming learning and empowering individuals to succeed. NOTE TO EMPLOYMENT AGENCIES: Skillsoft values the partnerships with our preferred vendors and does not accept unsolicited resumes. Kindly ensure a signed Skillsoft Employment Agency Agreement is on file before submitting any resumes.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services leveraging deep industry experience with strong functional capability and product knowledge. The FSO practice offers integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers, insurance and energy trading companies, and Corporate Treasury functions of leading Fortune 500 Companies. The service offerings include market, credit, and operational risk management, regulatory advisory, quantitative advisory, technology enablement, and more. Within EY's FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions to help clients identify, measure, manage, and monitor market, credit, operational, and regulatory risks associated with trading, asset-liability management, and capital markets activities. The Credit Risk (CR) team within FSRM assists clients in designing and implementing strategic and functional changes across risk management within banking book portfolios of large domestic and global financial institutions. Key Responsibilities: - Demonstrate deep technical capabilities and industry knowledge of financial products, particularly lending products. - Stay informed about market trends and demands in the financial services sector and issues faced by clients. - Monitor progress, manage risk, and communicate effectively with key stakeholders. - Mentor junior consultants and review tasks completed by them. - Work on projects involving model audits, validation, and development activities. Qualifications, Certifications, and Education: Must-have: - Postgraduate degree in accounting, finance, economics, statistics, or related field with at least 3 years of related work experience. - Understanding of climate risk models, ECL, stress testing, and regulatory requirements related to credit risk. - Knowledge of Credit Risk and Risk Analytics techniques. - Hands-on experience in data preparation, manipulation, and consolidation. - Strong documentation skills and ability to summarize key details effectively. - Proficiency in statistics, econometrics, and technical skills in Advanced Python, SAS, SQL, R, and Excel. Good-to-have: - Certifications such as FRM, CFA, PRM, SCR. - Experience in Data/Business Intelligence Reporting and knowledge of Machine Learning models. - Willingness to travel and previous project management experience. EY exists to build a better working world, creating long-term value for clients, people, and society while building trust in capital markets. EY teams across 150 countries provide trust through assurance and help clients grow, transform, and operate in various sectors like assurance, consulting, law, strategy, tax, and transactions, addressing complex issues globally.,

You should have at least 2+ years of experience in Machine Learning and Natural Language Processing. Your programming skills should be strong in Python. It is essential to have knowledge of SQL and NoSQL databases. Your expertise should include writing robust code in Python and working with both structured and unstructured data, involving data extraction, integration, and normalization. You should be proficient in ML frameworks/libraries like Tensorflow, Pytorch, ONNX, Scikit Learn, Keras, and Spacy. Additionally, you should possess expert skills in manipulating data frames using Pandas and arrays using NumPy. Experience with big data frameworks such as Spark and Hadoop would be considered a plus. Moreover, familiarity with containerizing applications using docker is also desirable.,

The role within Niro Money, Data and Analytics team involves translating data into actionable insights to enhance marketing ROI, drive business growth, and improve customer experience for various financial products such as personal loan, home loan, credit card, and insurance. The successful candidate will possess a strong background in data analytics and be capable of providing strategic recommendations to key stakeholders and business leaders. You will lead, mentor, and develop a high-performing team of data analysts and data scientists focused on building decision science models and segmentations to predict customer behaviors. Collaborating with the Partnership & Marketing team, you will conduct marketing experiments to enhance funnel conversion rates. Additionally, you will evaluate the effectiveness of marketing campaigns, identify successful strategies, recommend necessary changes, and oversee the implementation of customer journey-related product enhancements. Creating a culture of collaboration, innovation, and data-driven decision-making across various teams is crucial. You will manage multiple analytics projects concurrently, prioritizing them based on potential business impacts and ensuring timely and accurate completion. Project planning, monitoring, and addressing challenges promptly to keep projects on track are essential responsibilities. Collaborating with Data Engineering, Technology, and Product teams, you will develop and implement data capabilities for conducting marketing experiments and delivering actionable insights at scale. Applicants should hold a Master's degree in statistics, mathematics, data science, economics, or a BTech in computer science or engineering. A minimum of 5 years of hands-on experience in decision science analytics and developing data-driven strategies, preferably in the financial services industry, is required. You should also have at least 2 years of experience in managing and leading teams of data analysts and data scientists. Proficiency in statistical model development within financial service industries, including the use of logistic regression/gradient boosting algorithms with Python packages like Scikit-learn, XGBoost, Stats models, or decision tree tools, is essential. Moreover, candidates should have a minimum of 2 years of practical experience in SQL and Python. A proven track record of making data-driven decisions and solving problems based on analytics is necessary. Familiarity with Snowflake, AWS Athena/S3, Redshift, BI Tools like AWS Quicksight is advantageous. An analytical mindset, the ability to assess complex scenarios, and make data-driven decisions are essential qualities. A creative and curious nature, willingness to learn new tools and techniques, and a data-oriented personality are desired traits. Excellent communication and interpersonal skills are crucial for effectively collaborating with diverse stakeholders.,

Job role Job Requirements Personality traits To work on heavy data extraction, generation of reports, visualising data and putting analysis in discussed formatSQL & Advanced python knowledge with proven track record in python scripting using Numpy, pandas, seaborn, matplotlib, scikit learn etc Candidate must have excellent organizational skills, be level-headed, have good interpersonal skills Model building like classification, regression, recommendation systems etc SAS EG/Eminer knowledge is a plusNumerical skills - will need to acquire data and use it to target selected groups, as well as analyse the success or otherwise of campaigns The role holder will be responsible for data support, segmentation/scorecards, analytics and customer insights Past experience with deployment on cloud systems & API integration is preferredAt least 2-3 years of experience with data handling roles Must be excellent with Data visualisation He/ She should be comfortable working with heavy datasets and should have an analytical bent of mind Should have an active interest in data analysisHighly logical individuals with adaptable trait towards new technologiesAdhere to documented process and compliance requirements, assisting seniors on diversified projectsMotivated and determined candidate with a zeal to handle responsibilities and take initiativesStrong communication skills to effective interaction with business stakeholders

Scale an existing RAG code base for a production grade AI application Requirements: Proficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases Experience using LLMs in software applications, including prompting, calling, and processing outputs Experience with AI frameworks such as LangChain Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Experience in python and pyspark will be added advantage Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Demonstrate a growth mindset to understand clients' business processes and challenges Preferred technical and professional experience Education: Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

Must Have Skills Good Programming Knowledge - Python, C++ Design: OOAD Python Libraries -Numpy, Pandas DL framework - Pytorch, Keras, Tensorflow, Scikit Learn AI Concepts - Strong fundamentals & working experience in Machine Learning (ML) Deep Learning (DL) Model Tuning, Optimization & Verification Transfer Learning Excellent understanding of lower level fundamentals of deep learning models such as layer details, attention, normalization, backpropagation, and optimizers. Good to have: Regression problem solving AI related certification - NLP / Vision / Audio / IOT Concepts of GPU based model training Open source NLP toolchain Hands on experience in NLP, NLU, NLG tasks Preferred candidate profile Total Exp - 2 to 5 Years Notice Period - Immediate Location -Bangalore Candidate should be ok to work from office.

Key Responsibilities: Assist in the design, development, and deployment of Python-based AI/ML models and applications. Work with senior developers and data scientists to preprocess data, train models, and evaluate performance. Write clean, scalable, and efficient Python code for automation, data analysis, and AI pipelines. Participate in brainstorming sessions, code reviews, and team meetings. Document project requirements, processes, and results. Required Skills: Strong foundation in Python programming. Basic understanding of Machine Learning concepts and algorithms. Familiarity with libraries such as NumPy, Pandas, Matplotlib, and scikit-learn. Good analytical and problem-solving skills. Willingness to learn new technologies and take initiative. Good to Have: Exposure to deep learning frameworks like TensorFlow or PyTorch. Experience with Jupyter Notebooks, Git/GitHub, or any version control system. Academic projects or internships related to AI/ML or Python development. Eligibility Criteria: B.E./B.Tech/MCA/M.Sc. in Computer Science, IT, or related field (2023/2024 pass-out preferred). Strong academic track record with a passion for AI and software development. What We Offer: Hands-on experience on real-world AI/ML projects. Mentorship and training by experienced professionals. Dynamic and collaborative work environment. Career growth opportunities in AI and software development domains.

Responsibilities: AI/ML Model Development: 1. Design and implement machine learning models and algorithms to address specific business needs. 2. Develop and optimize algorithms for accuracy, efficiency, and scalability. Data Analysis and Preprocessing: 1. Collect, preprocess, and analyze large datasets to extract meaningful insights. 2. Develop data pipelines and maintain data quality for model training and evaluation. Integration and Deployment: 1. Integrate machine learning models into existing systems and applications. 2. Deploy models in production environments and monitor their performance. Research and Innovation: 1. Stay updated with the latest advancements in AI and machine learning technologies. 2. Conduct research to explore new techniques and methodologies that can enhance our solutions. Collaboration: 1. Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to understand requirements and deliver effective solutions. 2. Provide technical guidance and support to team members and stakeholders.

Role & responsibilities Hands on Experience (4 years or above) in the following :- Proven experience in AI/ML platforms in developing learnable models, knowledge in C MUST HAVE hands on experience in NVIDIA CUDA-X AI framework, to train complex machine learning models much faster and proficient in C Knowledge of R tool is an added advantage, knowledge on C and C++ is a must Python packages and libraries like Pandas, NumPy, Matplotlib and Scikit learn . Exposure to CV-based applications. in creating secure RESTful web services in XML and JSON in providing scalable solutions using Devops using CI/CD tools (Jenkins / Hudson) using various Version Control Systems (SVN, Git, GitHub, Gitlab, Bitbucket etc) using tools like JIRA, Redmine etc in following Agile Methodologies/ Scrum Preferred candidate profile Work with cross-functional teams like R&D, Sales, IT Infrastructure and Customer Service etc. in understanding the pain points and work with R&D team to take up the implementation. Actively research industry wide framework/ platforms and select the right one to integrate them for the Bluebird use cases Perks and benefits Very Competitive Salary Hybrid Model Work from home / only one day to office/week Medical Insurance for you & your family Performance Incentive/ Bonus For 4 yrs up to 15 LPA, for 10yrs up to 35 LPA

Data Scientist Experience: 4 - 10 Years Exp Salary : Competitive Preferred Notice Period : Within 30 Days Shift : 10:00AM to 7:00PM IST Opportunity Type: Onsite (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Python, Python Pandas, Scikit Learn, TensorFlow, Pytorch, Neural Networks, Transformers, LLMs Good to have skills : Docker, Kubernetes TatvaCare (One of Uplers' Clients) is Looking for: Data Scientist who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Job Description: Position: Data Scientist Business Division: AI Labs Reporting To: Chief Technology Officer Location: Bangalore Company Website: www.tatvacare.in TatvaCare, a startup in the Indian health tech landscape, is catalyzing the transformation of care practices through digitisation. TatvaCare is a full-spectrum technology solution that solves across various aspects of both patients and doctors needs and their interactions to significantly improve health positives. Guided by a fundamental principle of connecting the patient care continuum to ultimately provide positive outcomes. As a digital system TatvaCare empowers both healthcare professionals and individuals with chronic conditions to create healthy habits leading to positive health outcomes. Role Overview Responsible for designing and implementing machine learning models to solve critical business challenges, including tasks such as classification, regression, clustering and recommendation systems. Develop and manage end-to-end data science pipelines, handling data preprocessing, feature engineering, model development, evaluation, and deployment. Collaborate with cross-functional teams to integrate machine learning models into production systems and ensure alignment with business objectives. Monitor and improve model performance continuously, staying up to date with the latest advancements in AI/ML to optimize solutions. Work with a variety of data types, including structured datasets and unstructured data (text, images, voice, sensor data), to develop robust machine learning models. Ensure that all models are scalable, accurate, and provide actionable insights, delivering measurable business value. Requirements: 4+ years of hands-on experience in data science and machine learning, with a solid track record of delivering successful projects. Strong analytical and problem-solving skills, with the ability to manage large, complex datasets. Proficient in Python, with hands-on experience in libraries such as Pandas, Scikit-learn, TensorFlow, and PyTorch. Experience in Convolutional Neural Networks, Transformers, Transfer Learning from LLMs to SLMs (Smaller Language Migration). Experience with NLP techniques and deep learning models, including CNNs, RNNs, Transformers, and LLMs, especially in tasks like classification and sentiment analysis. Proven experience in deploying machine learning models in production environments. Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies like Docker and Kubernetes is a plus. Excellent communication skills and the ability to work effectively in collaborative team environments. Bachelors or masters degree in computer science, or a related field. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: TatvaCare is transforming care practices to deliver positive health outcomes. TatvaCare, a startup in the Indian health tech landscape, is catalyzing the transformation of care practices through digitisation. Our product portfolio includes TatvaPractice, an advanced EMR and Knowledge platform for healthcare professionals, and MyTatva, a Digital Therapeutics application designed to manage chronic diseases like Fatty Liver, COPD, and Asthma. Through these initial solutions and more to come, we aim to bridge the gap in healthcare, connecting professionals and patients. We are committed to revolutionizing healthcare in India, promoting efficient, patient-centric care, and optimizing outcomes across the healthcare spectrum.] About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!