3308 Data Scientist Jobs - Page 10

Data Scientist Gurgaon, India; Ahmedabad, India; Buenos Aires, Argentina; Hyderabad, India; Noida, India Information Technology 315682 Job Description About The Role: Grade Level (for internal use): 09 The Team: As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. The Impact: The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. What’s in it for you: Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Key Responsibilities Design, Develop and Deploy ML powered products and pipelines Play a central role in all stages of the data science project life cycle, including: Identification of suitable data science project opportunities Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Evaluation/interpretation of results and presentation to business leaders Performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments Training large models both for experimentation and production Develop production ready pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Spearhead deployment and model scaling strategies Stakeholder management and representing the team in front of our leadership Leading and mentoring by example including project scrums What We’re Looking For: 2+ years of professional experience in Data Science domain Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Expertise in probabilistic machine learning model for classification, regression & clustering Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets. Exposure to Information Retrieval, Web scraping and Data Extraction at scale OOP Design patterns, Test-Driven Development and Enterprise System design SQL (any variant, bonus if this is a big data variant) Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Problem-solving and debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Prior work to show on Github, Kaggle, StackOverflow etc. Cloud expertise (AWS and GCP preferably) Expertise in deploying machine learning models in cloud environments Familiarity in working with LLMs What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to [email protected] . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: [email protected] and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf - 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 315682 Posted On: 2025-08-14 Location: Gurgaon, Haryana, India

Proud to share LSEG in the India is Great Place to Work certified (Jun ’25 – Jun ’26). Learn more about life and purpose of our company directly from India colleagues’ video: Bengaluru, India | Where We Work | LSEG LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. A Data Scientist applies analytical, statistical, and computational techniques to collect, clean, analyze, extract insights from data and support data-driven decision-making. This role involves working with large-scale datasets to build models, uncover trends, and collaborate with cross-functional teams to improve digital products and services. Supports data science initiatives by applying analytical and technical expertise to solve product and platform-related challenges. Collaborates with sales order management teams, technology teams, and business stakeholders to translate requirements into scalable data science solutions Writes efficient, maintainable production-ready code and partners with technology teams to deploy models and data pipelines into live environments. Develops machine learning models and data-driven solutions that improve system performance, user engagement, or operational efficiency. Problem Solving – Identifies technical and analytical challenges in digital systems, explores multiple approaches, and selects optimal solutions to improve product outcomes. Artificial Intelligence Ethics – Applies ethical principles to ensure fairness, transparency, and accountability in AI-driven features and data usage. Programming – Develops and maintains code using Python, R, and/or SQL to support data processing, analysis, and model development. Data Analysis – Analyzes structured and unstructured data to uncover patterns, trends, and insights that inform product and business decisions. Data Wrangling – Cleans, transforms, and prepares raw data from various sources for analysis and modeling. Statistics – Applies statistical techniques to validate hypotheses, measure feature impact, and support experimentation. Algorithms – Implements machine learning algorithms for use in cases such as classification, regression, clustering, or forecasting. Communication – Translates complex data findings into clear narratives and visualizations using tools like Power BI, tailored to technical and non-technical audiences. Business Understanding – Aligns data science work with product goals, user needs, and business KPIs to maximize impact. Automation – Utilizes tools such as Power-BI, Power Automate to streamline data workflows and operational processes. Research – Explores emerging tools, techniques, and methodologies to enhance the effectiveness and scalability of data science solutions. Metrics Creation – Designs and monitors performance metrics to evaluate the success of models, features, and business initiatives. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

The role will be in one of the different teams in GDI&A (Manufacturing Analytics). 1. Potential candidates should possess a strong analytical mindset and be very comfortable with processing and manipulating large data sets in various formats. 2. Familiarity with analytics methods (descriptive/predictive/prescriptive) and Business Intelligence tools (Python, Dash, PowerBI) would be a definite plus. 3. Exposure to Cloud technologies (e.g., Google Cloud), including executing Machine Learning algorithms on Cloud would be definite plus. 4. Candidates should display interest and initiative in translating a business problem into an analytical problem and determining the appropriate analytical methods to be used. Masters in Data Science or AI/ML or Equivalent courses. 3+ Years of Experience in GCP and AI/ML. Dash and React UI is a preferred skills. Experience with software craftsmanship and agile ceremonies. Desired Skils/Tools: Python, SQL, BQ, JIRA, Git, GenAI. Data Modeling and Exploratory data analysis. Identify patterns and insights leveraging analytical tools and techniques Develop machine learning models and implement ML feature delivery as managed services or on device models Collaborate with data engineers and product designers to develop data and model pipelines Write production-level code and bring code to production Engage in code reviews Design and evaluate approaches for handling large volume of real data streams. Improve existing machine learning models Develop prototype for future exploration. Communicate complex processes to business stakeholders effectively Work with Corporate safety office and Digital manufacturing systems team to deliver FPS+ initiatives

Company Overview Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure and services to drive specific business outcomes such as digital transformation, innovation, and operational agility. Milestone is focused on building an employee-first, performance-based culture and for over 25 years, we have a demonstrated history of supporting category-defining enterprise clients that are growing ahead of the market. The company specializes in providing solutions across Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. Milestone culture is built to provide a collaborative, inclusive environment that supports employees and empowers them to reach their full potential. Our seasoned professionals deliver services based on Milestone’s best practices and service delivery framework. By leveraging our vast knowledge base to execute initiatives, we deliver both short-term and long-term value to our clients and apply continuous service improvement to deliver transformational benefits to IT. With Intelligent Automation, Milestone helps businesses further accelerate their IT transformation. The result is a sharper focus on business objectives and a dramatic improvement in employee productivity. Through our key technology partnerships and our people-first approach, Milestone continues to deliver industry-leading innovation to our clients. With more than 3,000 employees serving over 200 companies worldwide, we are following our mission of revolutionizing the way IT is deployed. Job Overview Role definition: Lead and assist in building advanced machine learning models, predictive analytics, and statistical methods to address various business challenges. Showcase expertise in programming languages like Python or R , with a focus on writing clear, efficient, and maintainable code. Experience with key libraries and frameworks (such as TensorFlow, PyTorch, and scikit-learn ) is critical. Utilize strong problem-solving abilities to create data-driven solutions, analyze complex datasets, and extract actionable insights that drive meaningful results. Collaborate closely with clients to comprehend their business goals, identify opportunities for advanced analytics-driven strategies , and communicate results effectively and in a timely manner. Manage the entire model development lifecycle, from defining the problem and exploring data to training, validating, and deploying models. Work alongside cross-functional teams, including data engineers, software developers, ML-Ops Engineer and business stakeholders, to integrate analytics solutions into business operations. Apply a deep understanding of mathematical and statistical concepts to guide the development and validation of advanced data science models. Desired Skills and Experience: 5-8 years of comprehensive experience in data science and model development. Experience in Machine learning Framework like TensorFlow, PyTorch, and scikit-learn etc Good to have hands on experience in Data & AI platforms like Databricks , MS Fabric etc Demonstrate a strong passion for writing high-quality Python code, ensuring it is modular, scalable, and suitable for end-to-end project execution, with active involvement in planning and hands-on work. Extensive knowledge of regression and classification techniques, along with the mathematical principles behind them, and proficiency in SQL . In-depth understanding of a wide range of data science methodologies, machine learning algorithms, and statistical techniques. Excellent communication skills, with the ability to present clearly, articulate ideas, tell compelling data stories, and navigate complex client situations. Provide effective mentorship to team members, leveraging expertise in relevant industry, domain, or functional areas Compensation Estimated Pay Range: Exact compensation and offers of employment are dependent on circumstances of each case and will be determined based on job-related knowledge, skills, experience, licenses or certifications, and location. Our Commitment to Diversity & Inclusion At Milestone we strive to create a workplace that reflects the communities we serve and work with, where we all feel empowered to bring our full, authentic selves to work. We know creating a diverse and inclusive culture that champions equity and belonging is not only the right thing to do for our employees but is also critical to our continued success. Milestone Technologies provides equal employment opportunity for all applicants and employees. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, gender, gender identity, marital status, age, disability, veteran status, sexual orientation, national origin, or any other category protected by applicable federal and state law, or local ordinance. Milestone also makes reasonable accommodations for disabled applicants and employees. We welcome the unique background, culture, experiences, knowledge, innovation, self-expression and perspectives you can bring to our global community. Our recruitment team is looking forward to meeting you.

Job Description The role will be in one of the different teams in GDI&A (Manufacturing Analytics). Potential candidates should possess a strong analytical mindset and be very comfortable with processing and manipulating large data sets in various formats. Familiarity with analytics methods (descriptive/predictive/prescriptive) and Business Intelligence tools (Python, Dash, PowerBI) would be a definite plus. Exposure to Cloud technologies (e.g., Google Cloud), including executing Machine Learning algorithms on Cloud would be definite plus. Candidates should display interest and initiative in translating a business problem into an analytical problem and determining the appropriate analytical methods to be used. Responsibilities Data Modeling and Exploratory data analysis. Identify patterns and insights leveraging analytical tools and techniques Develop machine learning models and implement ML feature delivery as managed services or on device models Collaborate with data engineers and product designers to develop data and model pipelines Write production-level code and bring code to production Engage in code reviews Design and evaluate approaches for handling large volume of real data streams. Improve existing machine learning models Develop prototype for future exploration. Communicate complex processes to business stakeholders effectively Work with Corporate safety office and Digital manufacturing systems team to deliver FPS+ initiatives Qualifications Masters in Data Science or AI/ML or Equivalent courses. 3+ Years of Experience in GCP and AI/ML. Dash and React UI is a preferred skills. Experience with software craftsmanship and agile ceremonies. Desired Skils/Tools: Python, SQL, BQ, JIRA, Git, GenAI.

Chicmic Studios Job Role: Data Scientist Experience Required: 3+ Years Skills Required: Data Science, Python, Pandas, Matplotlibs Job Description: We are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus. Roles & Duties: Analyze and process large datasets using Python and Pandas. Develop and optimize machine learning models for predictive analytics. Create data visualizations using Matplotlib and Seaborn to support decision-making. Perform data cleaning, feature engineering, and statistical analysis. Work with structured and unstructured data to extract meaningful insights. Implement and fine-tune NER models for specific use cases (if required). Collaborate with cross-functional teams to drive data-driven solutions Required Skills & Qualifications: Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience in data analysis, statistical modeling, and machine learning. Hands-on expertise in data visualization using Matplotlib and Seaborn. Understanding of SQL and database querying. Familiarity with NLP techniques and NER models is a plus. Strong problem-solving and analytical skills. Contact: 9875952836 Office Address: F273, Phase 8B industrial Area, Mohali, Punjab. Job Type: Full-time Education: Bachelor's (Required) Experience: Data science: 2 years (Required) Work Location: In person

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role 4-5 years of experiencehand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision. Good, applied statistics skills, such as distributions, statistical inference & testing, etc. in preferably in Life Sciences domain. Proficient in data mining and data cleansing techniques. Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). Proficient in coding in common data science language & tools such as R, Python, Go, SAS, Matlab etc. Experience with common data science toolkits, such as NumPy, Pandas, StatModel, Scikit learn, SciPy, NLTK, Spacy, Gensim, OpenCV, MLFlow, Tensorflow, Pytorch etc. Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised and unsupervised problems (such as k-NN, Regression, Naive Bayes, SVM, Decision Tree, Random Forests, k-means, PCA, SVD, GenAI (LLM) etc.). Good applied statistics skills, such as distributions, statistical inference & testing, etc. Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost, H2O etc. Exposure or knowledge in cloud (AWS/GCP/Azure) and big data technologies such as Hadoop, Hive, MapReduce, Pyspark etc. Your Profile Post - Graduate degree (M.E/ M.Tech/ M.Sc etc) Experience on deployment of model in production. Experience in data management and visualization task. Excellent understanding / hand-on experience in NLP and computer vision. Familiarity with database systems of SQL and NoSQL. Familiarity with data visualization tools such as Tableau, MS PowerBI etc Ability to think creatively to solve real world business problems. Critical thinking and problem solving capabilities. Data-oriented personality. Hands on experience in GenAI. Good presentation skills. Proficient in verbal and written communication. Knowledge/ hand-on experience Exposure on large scale dataset and respective tool & framework like Hadoop, Pyspark, etc. Knowledge/ hand-on experience on deployment of model in production & deployment. What You Will Love About Working Here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Bhubaneswar, India Job Category : Data Scientist Posting Date : 01 January 2024 Job Type : Engineering Years of Experience : 5 Does this position require a security clearance? No Applicants are required to read,write and speak the following languages Hindi/English Additional Info : Job Description Are you seeking your next career advancement? At our company, we present thrilling prospects for skilled professionals in a diverse range of job fields and positions. Come on board with us to create remarkable achievements. We take pride in being the fastest-growing enterprise resource planning platform, attracting new customers to our advanced system for expediting their business processes. Our teams diligently contribute towards our triumph, each with a crucial role to fulfill. Responsibilities Develop and create AI/ML based predictive solutions and enhance or upgrade existing ones. Collaborate and communicate effectively with various teams within Nirmalya. Establish strong partnerships with business representatives to fully grasp their requirements. Engage proficiently with other teams and individuals. Proficient in programming languages like Python. Exceptional verbal and written English communication abilities. Outstanding troubleshooting and problem-solving skills. Possess a curious mindset to tackle exciting new subjects. Display a high level of curiosity, motivation, and eagerness to learn new technologies. Valuable team player with fast learning abilities. Encouraged to contribute own ideas and perspectives openly. Qualifications Bachelor's or higher degree in computer science or a related technical/scientific discipline. Strong analytical skills required, including a thorough understanding of how to interpret customer business needs and translate them into solutions and operational requirements. Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. Required Skills Proficiency in mathematics, statistics, computer science, or related fields is required. Preferably, expertise in linear algebra, calculus, and statistics. In-depth knowledge of data science and predictive methodologies is essential. Familiarity with agile working methodologies such as SAFe, SCRUM, KANBAN, etc. is advantageous. Capable of managing multiple projects simultaneously. Additional programming skills are highly advantageous (optional). Disclaimer Hiring Range: from 1000000 to 2250000 per annum. May be eligible for bonus and equity. We maintain broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Nirmalya’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. About Us Nirmalya's career has the potential to encompass various industries, roles, countries, and cultures, allowing for growth in novel positions and driving innovation, while effectively balancing work and personal life. Nirmalya has achieved success over the years by embracing change, fostering innovation, and consistently upholding ethical principles, thereby delivering exceptional results for leading companies across multiple industries.To foster and support the talents responsible for such accomplishments, our dedication lies in cultivating an inclusive culture that appreciates and embraces diverse insights and perspectives. We strive to create a workforce that inspires thought leadership and sparks innovation, ensuring a thriving environment for all. Nirmalya Employee Benefits are meticulously designed to prioritize equality, reliability, and affordability. Our comprehensive package encompasses essential features such as Medical and Life Insurance, while also granting access to Retirement Planning and more. Additionally, we actively encourage our employees to actively contribute to the well-being of the communities where we operate. We firmly believe that fostering diversity and inclusion lays the foundation for innovation. To shape a brighter tomorrow, we seek talent from diverse backgrounds, embracing a range of perspectives and abilities. We are committed to providing reasonable accommodations to individuals with disabilities throughout the job application, interview, and prospective role stages, thereby enabling them to effectively perform crucial job functions. Our dedication lies in fostering an inclusive workforce that enables every individual to thrive. We believe in the power of diverse perspectives and value every voice, as it is this harmony that propels us to surpass previous achievements. As an Equal Employment Opportunity Employer, Nirmalya ensures that all applicants are treated fairly and without discrimination. We promote equality regardless of race, color, religion, national origin, gender identity, disability, protected veterans’ status, or any other characteristic protected by law. Additionally, Oracle complies with applicable legislation by considering qualified applicants with arrest and conviction records for employment opportunities. Join our team where diversity is celebrated, and everyone's unique contribution is respected. Together, we embrace innovation and strive towards excellence – a testament to our commitment to fostering an inclusive and thriving workplace.

Noida, India Delivery 6-8 yrs Technology: Data Science Roles & Responsibilities: As a Data Scientist you will be using a scientific methods, algorithms, and systems to extract valuable insights and knowledge from structured and unstructured data. You will be analysing large volumes of complex data to identify patterns, trends, and correlations that can help organizations make data-driven decisions and solve problems. Must Have Skills: 6+ years of experience in Data Science. Exposure to data science through relevant projects, courses, or competitions. Machine learning models such as random forests, gradient-boosted trees, or neural networks. Hands on experience with Machine Learning/Deep Learning algorithms such as Linear Regression, Logistic Regression, Decision Tree, SVM, Random Forests, Recommendation System, CNN etc. Experience working with Generative AI / LLM (Large Language Models). Experience with big data techniques (such as Hadoop, MapReduce, Hive, Pig, Spark). Perform advanced analytics techniques to mine unstructured data. Communicate results and educate others through reports and presentations. Develop machine learning algorithms, particularly in forecasting. Analyze and model structured data and implement algorithms to support analysis using advanced statistical and mathematical methods and provide solutions to real business problems. Good communication and analytical skills. Should be technically sharp and can do attitude towards work. Good to Have Skills: Machine learning certification. Benefits: Gratuity benefits under Payment of Gratuity Act, 1972. Paid Leaves encashment. Lucrative Loyalty Bonuses. Referral bonuses. Monetary & Non- Monetary Awards under rewards and recognition policy. Free & delicious Lunch. Family Medical Insurance. Personal Accidental Insurance. Maternity Leave & Benefits. Flexible working hours. Annual Fun events like Picnics, New Year Bash etc. About Contata Solutions: Contata Solutions, founded in 2000, is a software company headquartered in Minneapolis, US with 5 offices including offshore centres in India – a Software Engineering Group based in the Delhi NCR region, back-office support group based in Nagpur & Indore India, and a sales office in Stockholm, Sweden. Since 2000, maintaining a legacy of continuous growth and expansion, Contata has a loyal client base distributed across the globe and a track record of having delivered hundreds of successful projects spanning a wide range of business domains and verticals specially with Digital Transformation, Data Analytics, ML/AI, Cloud & Consulting Services. We work on multiple software technologies – both, on premise and cloud based. These cover front end, backend and database level tools & technologies. We Believe in “Learn and Grow” Together Cutting Edge Technology Exposure: Work on the latest technology and make an impact on lives across the industry. Learning and Skill Development: Opportunity to learn and work in the software technology of your choice. Work with international customer teams directly and develop excellent consultative skills in solving their business problems. Training and Certification: Training and nurturing by industry-experienced mentors and unleash your full potential. Rewards and Recognitions: Rewards & Recognition scheme to acknowledge and reward our associates. Work-Life Balance: We believe a healthy mind and body are more productive and you can plan both "personal and professional" “To Do’s” with ease. Our Values Accountable Effort and results matter – we are intentional, responsible and results orientated, to our clients and to each other. Generous We believe in being generous in deeds and of spirit – with our clients our team and within our communities. Genuine Seeking truly authentic relationships – we are engaged, empathetic and transparent. Inventive We are in a relentless search of “better”, not just new – embracing the freedom to explore, create and express ideas, along with always learning from our successes and the mistakes we will make. Tenacious We believe in pursuing what's right - and pursuing continuous growth and improvement for our clients, for our company and for ourselves. We get better everyday.

Key Responsibilities: · Design, build, and deploy scalable NLP/ML models for real-world applications. · Fine-tune and optimize Large Language Models (LLMs) using techniques like LoRA, PEFT, or QLoRA. · Work with transformer-based architectures (e.g., BERT, GPT, LLaMA, T5, etc.). · Develop GenAI applications using frameworks such as LangChain, Hugging Face, OpenAI API, or RAG (Retrieval-Augmented Generation). · Write clean, efficient, and testable Python code. · Collaborate with data scientists, software engineers, and stakeholders to define AI- driven solutions. · Evaluate model performance and iterate rapidly based on user feedback and metrics. Required Skills s Qualifications: · 3+ years of experience in Data Science(GEN AI/Machine learning) · Good understanding & Hand on experience in Agentic Ai. · Solid understanding and experience in NLP, including text preprocessing, embeddings, NER, sentiment analysis, etc. · Proficiency in ML libraries: scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, spaCy. · Experience with GenAI concepts, including prompt engineering, LLM fine-tuning, and vector databases (e.g., FAISS, ChromaDB). · Ability learns new tools, to work independently and collaboratively in a fast-paced environment & Strong problem-solving and communication skills. · Experience in working with Python Programing and agile methodologies such as Scrum or Kanban Please find the below points for your reference. · Experience on Deep Learning and Transformer architectures and models · Prompt Engineering, training LLMs and GenAI pipeline preparation. practical experience in integrating LLM models like ChatGPT, Gemini, Claude etc with context aware capabilities using RAG or fine-tuning models. · Model Evaluation & Alignment. Metrics to calculate the model’s accuracy. · Data Curation from sources for RAG Preprocessing and development LLM Pipelines. · Scalable Deployment and logging tooling. Must have skills like Flask, Django, Fast API, APIs, Docker containerisation, Kubeflow. Familiarity with Lang Chain, LlamaIndex, vLLM, Hugging Face Transformers, LoRA and also basic understanding of cost to performance tradeoffs

About The Role Straive is looking for a talented and driven Consultant / Data Scientist / GenAI Engineer to join our Analytics & GenAI delivery team . In this role, you will work under the guidance of the Senior Project Manager / Engagement Manager to design, develop, and deploy advanced AI/ML and Generative AI solutions for global enterprise clients. You will be part of a high-performing team, collaborating with both onshore and offshore members to build scalable, production-grade AI systems. This role is ideal for candidates from premier engineering institutes with 2–3 years of relevant experience in Python development, LLM integration, and RAG workflows, along with a passion for solving complex problems in real-world business contexts. Key Responsibilities Develop and maintain Python-based applications, AI/ML models, and data processing pipelines for GenAI projects. Implement Large Language Model (LLM) integrations, including Retrieval-Augmented Generation (RAG) pipelines and embedding-based search solutions. Build data ingestion and transformation workflows, working with structured and unstructured datasets. Optimize AI model performance through prompt engineering, fine-tuning, and evaluation techniques. Collaborate closely with senior team members to translate business requirements into technical solutions. Integrate AI solutions with vector databases (e.g., Cosmos DB, Pinecone, ChromaDB) and API-driven applications. (Optional) Contribute to cloud-native deployments and Azure architecture–based solutions, including containerization, CI/CD, and basic MLOps workflows. Document workflows, maintain code repositories, and follow Agile development practices. Required Qualifications 2–3 years of relevant experience in AI/ML development, preferably in enterprise projects. Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field from a premier engineering institute. Proficiency in Python programming and familiarity with relevant libraries (e.g., LangChain, Hugging Face, Pandas, NumPy). Hands-on experience implementing RAG pipelines, embeddings, and vector search solutions. Understanding of LLM architectures and integration patterns. Working knowledge of SQL and data processing best practices. Basic knowledge of cloud DevOps concepts, preferably with Azure (AWS/GCP experience is also acceptable). Preferred Skills Exposure to agentic AI frameworks such as LangGraph, Semantic Kernel, or similar. Familiarity with ML model lifecycle management and deployment workflows. Prior experience working with cross-border teams and Agile environments. #Straivejob

About the Role Straive is looking for a talented and driven Consultant / Data Scientist / GenAI Engineer to join our Analytics & GenAI delivery team . In this role, you will work under the guidance of the Senior Project Manager / Engagement Manager to design, develop, and deploy advanced AI/ML and Generative AI solutions for global enterprise clients. You will be part of a high-performing team, collaborating with both onshore and offshore members to build scalable, production-grade AI systems. This role is ideal for candidates from premier engineering institutes with 2–3 years of relevant experience in Python development, LLM integration, and RAG workflows, along with a passion for solving complex problems in real-world business contexts. Key Responsibilities Develop and maintain Python-based applications, AI/ML models, and data processing pipelines for GenAI projects. Implement Large Language Model (LLM) integrations, including Retrieval-Augmented Generation (RAG) pipelines and embedding-based search solutions. Build data ingestion and transformation workflows, working with structured and unstructured datasets. Optimize AI model performance through prompt engineering , fine-tuning, and evaluation techniques. Collaborate closely with senior team members to translate business requirements into technical solutions. Integrate AI solutions with vector databases (e.g., Cosmos DB, Pinecone, ChromaDB) and API-driven applications. (Optional) Contribute to cloud-native deployments and Azure architecture –based solutions, including containerization, CI/CD, and basic MLOps workflows. Document workflows, maintain code repositories, and follow Agile development practices. Required Qualifications 2–3 years of relevant experience in AI/ML development, preferably in enterprise projects. Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field from a premier engineering institute . Proficiency in Python programming and familiarity with relevant libraries (e.g., LangChain, Hugging Face, Pandas, NumPy). Hands-on experience implementing RAG pipelines , embeddings, and vector search solutions. Understanding of LLM architectures and integration patterns. Working knowledge of SQL and data processing best practices. Basic knowledge of cloud DevOps concepts , preferably with Azure (AWS/GCP experience is also acceptable). Preferred Skills Exposure to agentic AI frameworks such as LangGraph, Semantic Kernel, or similar. Familiarity with ML model lifecycle management and deployment workflows. Prior experience working with cross-border teams and Agile environments.

Bhubaneswar, India Job Category : Data Scientist Posting Date : 01 January 2024 Job Type : Engineering Years of Experience : 5 Does this position require a security clearance? No Applicants are required to read,write and speak the following languages Hindi/English Additional Info : Job Description Are you seeking your next career advancement? At our company, we present thrilling prospects for skilled professionals in a diverse range of job fields and positions. Come on board with us to create remarkable achievements. We take pride in being the fastest-growing enterprise resource planning platform, attracting new customers to our advanced system for expediting their business processes. Our teams diligently contribute towards our triumph, each with a crucial role to fulfill. Responsibilities Develop and create AI/ML based predictive solutions and enhance or upgrade existing ones. Collaborate and communicate effectively with various teams within Nirmalya. Establish strong partnerships with business representatives to fully grasp their requirements. Engage proficiently with other teams and individuals. Proficient in programming languages like Python. Exceptional verbal and written English communication abilities. Outstanding troubleshooting and problem-solving skills. Possess a curious mindset to tackle exciting new subjects. Display a high level of curiosity, motivation, and eagerness to learn new technologies. Valuable team player with fast learning abilities. Encouraged to contribute own ideas and perspectives openly. Qualifications Bachelor's or higher degree in computer science or a related technical/scientific discipline. Strong analytical skills required, including a thorough understanding of how to interpret customer business needs and translate them into solutions and operational requirements. Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. Required Skills Proficiency in mathematics, statistics, computer science, or related fields is required. Preferably, expertise in linear algebra, calculus, and statistics. In-depth knowledge of data science and predictive methodologies is essential. Familiarity with agile working methodologies such as SAFe, SCRUM, KANBAN, etc. is advantageous. Capable of managing multiple projects simultaneously. Additional programming skills are highly advantageous (optional). Disclaimer Hiring Range: from 1000000 to 2250000 per annum. May be eligible for bonus and equity. We maintain broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Nirmalya’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. About Us Nirmalya's career has the potential to encompass various industries, roles, countries, and cultures, allowing for growth in novel positions and driving innovation, while effectively balancing work and personal life. Nirmalya has achieved success over the years by embracing change, fostering innovation, and consistently upholding ethical principles, thereby delivering exceptional results for leading companies across multiple industries.To foster and support the talents responsible for such accomplishments, our dedication lies in cultivating an inclusive culture that appreciates and embraces diverse insights and perspectives. We strive to create a workforce that inspires thought leadership and sparks innovation, ensuring a thriving environment for all. Nirmalya Employee Benefits are meticulously designed to prioritize equality, reliability, and affordability. Our comprehensive package encompasses essential features such as Medical and Life Insurance, while also granting access to Retirement Planning and more. Additionally, we actively encourage our employees to actively contribute to the well-being of the communities where we operate. We firmly believe that fostering diversity and inclusion lays the foundation for innovation. To shape a brighter tomorrow, we seek talent from diverse backgrounds, embracing a range of perspectives and abilities. We are committed to providing reasonable accommodations to individuals with disabilities throughout the job application, interview, and prospective role stages, thereby enabling them to effectively perform crucial job functions. Our dedication lies in fostering an inclusive workforce that enables every individual to thrive. We believe in the power of diverse perspectives and value every voice, as it is this harmony that propels us to surpass previous achievements. As an Equal Employment Opportunity Employer, Nirmalya ensures that all applicants are treated fairly and without discrimination. We promote equality regardless of race, color, religion, national origin, gender identity, disability, protected veterans’ status, or any other characteristic protected by law. Additionally, Oracle complies with applicable legislation by considering qualified applicants with arrest and conviction records for employment opportunities. Join our team where diversity is celebrated, and everyone's unique contribution is respected. Together, we embrace innovation and strive towards excellence – a testament to our commitment to fostering an inclusive and thriving workplace.

Role: Data Scientist Experience: 7+yrs Location: Pune Notice Period: Immediate Joiner Responsibilities · Gather and analyze data, using various types of analytics and reporting tools to detect patterns, trends, and relationships in data sets · Establish best practices for collecting data using analysis tools, and interpreting data · Process, cleanse, and verify the integrity of data used for analysis · Perform ad-hoc analysis and present results in a clear manner using appropriate medium · Process / mine huge volumes of structured, semi-structured and unstructured data using state-of- the- art methods to derive meaningful insights in an appropriate format · Recommend tools, techniques, and practices across organizations to enhance knowledge · Create complex predictive models using ML techniques and relevant tools. Required / Mandatory · Excellent knowledge of Statistics, especially distributions, likelihood estimators, etc. · Hands-on experience with one of these programming languages: Python / R · Extensive knowledge of Machine Learning concepts and techniques, along with knowledge of various · algorithms and their use cases · Experience in using Business Intelligence (BI) tools like Tableau (or equivalent) · Hands on experience in using SQL programming with Microsoft SQL Server / MySQL · Excellent documentation skills, including advanced use of Microsoft Excel, Word, and PowerPoint · Ability to work independently with minimum input or assistance · Ability to effectively communicate with all levels of audience – business and technical

Job Title: Data Scientist (3-5 Years). Reporting to: Lead Data Scientist. Location: Bangalore (India) Job Role:  Investigate the feasibility of applying scientific principles and concepts to business problems.  Develop new algorithms independently to solve well defined retail problems and improve existing algorithms.  Work with product team to implement new modules, maintain and release production pipelines in timely and responsible manner.  Develop POCs based on new ideas or technology, popularize new innovations in retail and analytics with internal/external stakeholders.  Collaborate with Data Engineering, Advisory and Product team to find scope of improvement and drive right processes. Mandatory Skills:  Retail Experience Business Acumen  Classic ML Experience – One model built in sole capacity end to end  Good SQL / Python Hands on experience (PySpark is a plus)

PLEASE READ THROUGH THE Job Description CAREFULLY. APPLY ONLY IF YOU MEET THE REQUIREMENTS. Position: Data Analyst / Data Scientist (Operations Focus) Experience: 3.00 - 8.00 years Working Location: Gurgaon Job Mode: Work From Office Job Type: Full-time Working Days: 6 Industry: Fintech About the Company We're a dynamic fintech revolutionizing India's collections landscape. Through AI-driven intelligence, automation, and an integrated field force, we've built next-gen recovery infrastructure that improves lender outcomes and expands financial inclusion. What You’ll Do Design end-to-end data pipelines for operational data from diverse sources Develop advanced propensity models (e.g., payment likelihood, risk segmentation) to solve core business problems Create real-time dashboards (Power BI/Tableau) for operational performance tracking Perform statistical analysis to optimize field force efficiency and collection strategies Lead A/B testing of operational interventions and repayment solutions Ensure data integrity across high-volume transactional systems Mentor junior team members on operational analytics best practices What We’re Looking For 3-8 years in Data roles at operations-heavy startups (fintech, logistics, e-commerce, or similar) For Senior Candidates (4-8 yrs): Proven propensity modeling experience is mandatory Degree in Statistics, CS, Economics, or related quantitative field Expertise in: SQL + Python (Pandas, NumPy, Scikit-learn) Power BI/Tableau Statistical modeling for operational decision-making Startup-ready mindset: Adaptable, proactive, and comfortable with ambiguity Preferred Qualifications Built data solutions for field operations or high-frequency workflows Hands-on propensity modeling for customer behavior prediction Cloud platforms (AWS/Azure/GCP) + Big Data tools (Spark/Hadoop) Fintech/financial services background (especially collections/lending) Experience with CRM/operational BI platforms Why Join Us? Ownership culture: Drive analytics for India's next-gen recovery infrastructure Operational impact: Your models directly optimize field force actions Growth environment: Lean startup where you’ll shape data strategy Flexible productivity: Work when you’re most effective Build the blueprint: Pioneer solutions for democratizing credit "We seek builders who thrive in operations trenches. If you’ve scaled data systems at startups where every % efficiency gain mattered, you’ll find a home here."

We are looking for a Data Scientist role to work remotely from India to a US client. Below is the Job Description. This is for an immediate Joiner. Essential Technical Skills AI/ML (Required) 2+ years hands-on experience with LLM APIs (OpenAI, Anthropic, or similar) Production deployment of at least one AI system that's currently running in production LLM framework experience with LangChain, CrewAI, or AutoGen (any one is sufficient) Function calling/tool use - ability to build AI systems that can call external APIs and functions Basic prompt engineering - understanding of techniques like Chain-of-Thought and ReAct patterns Python Development (Required) 3+ years Python development with strong fundamentals API development using Flask or FastAPI with proper error handling Async programming - understanding of async/await patterns for concurrent operations Database integration - working with PostgreSQL, MySQL, or similar relational databases JSON/REST APIs - consuming and building REST services Production Systems (Required) 2+ years building production software that serves real users Error handling and logging - building robust systems that handle failures gracefully Basic cloud deployment - experience with AWS, Azure, or GCP (any one platform) Git/version control - collaborative development using Git workflows Testing fundamentals - unit testing and integration testing practices Business Process (Basic Required) User requirements - ability to translate business needs into technical solutions Data quality - recognizing and handling dirty/inconsistent data Exception handling - designing workflows for edge cases and errors Software Engineering 3+ years total software development experience 1+ production AI project - any AI/ML system deployed to production (even simple ones) Cross-functional collaboration - worked with non-technical stakeholders Problem-solving - demonstrated ability to debug and resolve complex technical issues Communication & Collaboration Technical documentation - ability to write clear technical docs and code comments Stakeholder communication - explain technical concepts to business users Independent work - ability to work autonomously with minimal supervision Learning agility - quickly pick up new technologies and frameworks Educational Background (Any One) Formal Education Bachelor's degree in Computer Science, Engineering, or related technical field OR equivalent experience - demonstrable technical skills through projects/work Alternative Paths Coding bootcamp + 2+ years professional development experience Self-taught with strong portfolio of production projects Technical certifications (AWS, Google Cloud, etc.) + relevant experience [nice to have] Demonstrable Skills (Portfolio Requirements) Must Show Evidence Of One working AI application - GitHub repo or live demo of LLM integration Python projects - code samples showing API development and data processing Production deployment - any application currently running and serving users Problem-solving ability - examples of debugging complex issues or optimizing performance Nice to Have (Not Required) Financial services or fintech experience Vector databases (Pinecone, Weaviate) experience Docker/containerization knowledge Advanced ML/AI education or certifications

We’re Hiring: Senior Data Science Analyst (AI/ML | Generative AI) 📍 Location: Hyderabad 🧠 Experience: 7+ Years (4+ Years in AI/ML) 🏢 Mode: On-site We’re seeking a Senior Data Scientist with strong analytical acumen, deep technical expertise, and proven experience in building & deploying AI/ML solutions for real-world business problems. You will be working on Generative AI, predictive modeling, NLP, recommendation systems , and cutting-edge ML frameworks to drive innovation at scale. 🔹 Key Responsibilities: Design, build & validate robust, scalable ML/DL models Apply advanced statistical techniques for actionable insights Lead projects in Generative AI & LLM-based solutions (prompt engineering, fine-tuning) Collaborate cross-functionally with engineering, product & business teams Mentor junior data scientists and review model/code quality Stay ahead with the latest AI research & translate into production-grade solutions 🔹 Required Skills: Strong foundation in statistics, probability, and hypothesis testing Expertise in ML algorithms (SVMs, decision trees, neural networks, clustering, NLP) Proficiency in deep learning architectures (CNN, RNN, Transformers, LSTM) Hands-on with Python, PyTorch, TensorFlow, HuggingFace Cloud (AWS/GCP/Azure), ML pipelines, Docker/Kubernetes experience Generative AI & LLMs (GPT, BERT, LLaMA, embeddings, VAEs, GANs) 📩 Apply Now: Send your CV to gautam@mounttalent.com

Key Responsibilities • Build Gen AI-enabled solutions using online and offline LLMs, SLMs and TLMs tailored to domain-specific problems. • Deploy agentic AI workflows and use cases using frameworks like LangGraph, Crew AI etc. • Apply NLP, predictive modelling and optimization techniques to develop scalable machine learning solutions. • Integrate enterprise knowledge bases using Vector Databases and Retrieval Augmented Generation (RAG). • Apply advanced analytics to address complex challenges in Healthcare, BFSI and Manufacturing domains. • Deliver embedded analytics within business systems to drive real-time operational insights. Required Skills & Experience • 3–5 years of experience in applied Data Science or AI roles. • Experience working in any one of the following domains: BFSI, Healthcare/Health Sciences, Manufacturing or Utilities. • Proficiency in Python, with hands-on experience in libraries such as scikit-learn, TensorFlow • Practical experience with Gen AI (LLMs, RAG, vector databases), NLP and building scalable ML solutions. • Experience with time series forecasting, A/B testing, Bayesian methods and hypothesis testing. • Strong skills in working with structured and unstructured data, including advanced feature engineering. • Familiarity with analytics maturity models and the development of Analytics Centre of Excellence (CoE’s). • Exposure to cloud-based ML platforms like Azure ML, AWS SageMaker or Google Vertex AI. • Data visualization using Matplotlib, Seaborn, Plotly; experience with Power BI is a plus. What We Look for (Values & Behaviours) • AI-First Thinking – Passion for leveraging AI to solve business problems. • Data-Driven Mindset – Ability to extract meaningful insights from complex data. • Collaboration & Agility – Comfortable working in cross-functional teams with a fast-paced mindset. • Problem-Solving – Think beyond the obvious to unlock AI-driven opportunities. • Business Impact – Focus on measurable outcomes and real-world adoption of AI. • Continuous Learning – Stay updated with the latest AI trends, research and best practices.

Chicmic Studios Job Role: Data Scientist Experience Required: 3+ Years Skills Required: Data Science, Python, Pandas, Matplotlibs Job Description: We are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus. Roles & Duties: Analyze and process large datasets using Python and Pandas. Develop and optimize machine learning models for predictive analytics. Create data visualizations using Matplotlib and Seaborn to support decision-making. Perform data cleaning, feature engineering, and statistical analysis. Work with structured and unstructured data to extract meaningful insights. Implement and fine-tune NER models for specific use cases (if required). Collaborate with cross-functional teams to drive data-driven solutions Required Skills & Qualifications: Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience in data analysis, statistical modeling, and machine learning. Hands-on expertise in data visualization using Matplotlib and Seaborn. Understanding of SQL and database querying. Familiarity with NLP techniques and NER models is a plus. Strong problem-solving and analytical skills. Contact: 9875952836 Office Address: F273, Phase 8B industrial Area, Mohali, Punjab. Job Type: Full-time Education: Bachelor's (Required) Experience: Data science: 2 years (Required) Work Location: In person

The job requires you to work in two different locations, one in the USA and the other in India. In the USA, the office is located at 651 N Broad St Suite 205, Middletown, DE 19709, and you can contact them via phone at 310-362-2511. In India, the office address is 300, Sankalp Square-3B, Sindhu Bhavan Marg, Ahmedabad, Gujarat 380058. For career-related inquiries, you can contact them at 91-98240-42996.,

Skills: Machine Learning, Python, Tensorflow, R, Data analysis, Pytorch, Data collection, CLOUD, Greetings from ALIQAN Technologies!! Hiring a Data Scientist for one of our clients' MNC Job Title: Data Scientist Experience: 6-10 years Contract duration: 6 months + extendable Role Summary: Looking for one data scientist engineer with Strong experience in AI/ML, Data collection, preprocessing, estimation,and Architecture creation Responsibility Model Development: Design and implement ML models to tackle complex business challenges. Data Preprocessing: Clean, preprocess, and analyze large datasets for meaningful insights and model features. Model Training: Train and fine-tune ML models using various techniques, including deep learning and ensemble methods. Evaluation and Optimization: Assess model performance, optimize for accuracy, efficiency, and scalability. Deployment: Deploy ML models in production, monitor performance for reliability. Collaboration: Work with data scientists, engineers, and stakeholders to integrate ML solutions. Research: Stay updated on ML/AI advancements, and contribute to internal knowledge. Documentation: Maintain comprehensive documentation for all ML models and processes. Qualification - Bachelor's or masters in computer science, Machine Learning, Data Science, or a related field, and must be experience of 6-10 years. Desirable Skills Must Have 1. Experience in time series forecasting, regression Model, Classification Model 2. Python, R, Data analysis 3. Large-scale data handling with Pandas, Numpy, and Matplotlib 4. Version Control: Git or any other 5. ML Framework: Hands-on exp in Tensorflow, Pytorch, Scikit-Learn, Keras 6. Good knowledge on Cloud platform and ( AWS/Azure/ GCP), Docker, Kubernetes 7. Model Selection, evaluation, Deployment, Data collection, and preprocessing, Feature engineering Estimation Good to Have Experience with Big Data and analytics using technologies like Hadoop, Spark, etc. Additional experience or knowledge in AI/ML technologies beyond the mentioned frameworks. BFSI and banking domain Base Location: Noida, but flexible to travel, coming to office is mandate twice in a week Experience in time series forecasting, regression Model, Classification Model: Experience Python, R, Data analysis: Large-scale data handling with Pandas, Numpy, and Matplotlib: Version Control: Git or any other: ML Framework: Hands-on exp in Tensorflow, Pytorch, Scikit-Learn, Keras: Model Selection, evaluation, Deployment, Data collection, and preprocessing, Feature engineering: Good knowledge on Cloud platform:

You should have 5 to 7 years of experience in Data Science or Machine Learning roles. Your proven ability should cover working on end-to-end ML projects, from research to production. It is essential to conduct in-depth machine learning research and stay updated with state-of-the-art advancements, including reading, interpreting, and implementing research papers, especially in the Generative AI domain. Your responsibilities will also include mentoring and guiding junior data scientists and interns in executing real-world projects. You should be able to design and build machine learning and deep learning models to solve complex business challenges. Working collaboratively across teams to turn data into decisions and models into products is a crucial aspect of the role. Having a strong foundation in Statistics and Probability is essential. You should also possess advanced proficiency in Python for data science and ML workflows. Hands-on experience with key libraries such as Scikit-learn, Keras, TensorFlow, and PyTorch is required. Expertise in core ML algorithms like Linear/Logistic Regression, Decision Trees, Gradient Descent, and SVMs is expected. Deep familiarity with Transformer architectures and working with Large Language Models (LLMs) is a plus. Experience with frameworks like Langchain or LlamaIndex for building LLM-based applications will be beneficial. Your ability to turn theoretical models into production-ready code with clarity and precision is highly valued in this role.,

About Us Versa Networks is revolutionizing the way businesses connect, secure, and optimize their networks with a mission to provide secure anywhere, anytime access to anything. As a leader in Secure SD-WAN, SSE (Secure Service Edge), SASE (Secure Access Service Edge), and Next-generation Managed Services, Versa empowers organizations worldwide to modernize their IT infrastructure for the cloud era. The innovative products offered by Versa enable enterprises to deliver a seamless, scalable, and secure digital experience regardless of the location of users, devices, or applications. Founded by industry veterans and supported by premier venture capital firms, Versa is driving innovation and growth as it prepares for a future IPO. The culture at Versa Networks emphasizes innovation, collaboration, and customer success. The team comprises passionate and forward-thinking professionals dedicated to advancing networking technology. Versa encourages creativity, provides opportunities for growth, and fosters a dynamic environment for individuals to thrive and create an impact. Versa Networks doesn't just build products; they build relationships, elevate businesses, and shape the digital future. Join Versa and become part of a fast-paced, cutting-edge company that is actively changing how the world connects and communicates. Job Summary Versa Networks is currently seeking a talented and motivated Data Scientist to join the Machine Learning team. In this role, you will play a crucial part in various data-driven projects, spanning from exploratory data analysis to the development and deployment of machine learning models for Networking, Security, and Language applications. You will collaborate closely with cross-functional teams to uncover insights, solve complex problems, and drive decision-making based on data. Responsibilities Data Analysis and Visualization: Conduct exploratory data analysis to comprehend data characteristics and identify patterns. Utilize data visualization techniques to effectively communicate insights. Data Preparation and Engineering: Ingest, clean, preprocess, and transform data to prepare it for analysis and modeling. Address missing values, outliers, and inconsistencies. Appropriately label datasets for classification problems. Machine Learning: Develop, train, and evaluate machine learning models, including traditional algorithms like CNNs, XGBoost, Transformers, Various Graph ML algorithms, Time Series modeling, and LLM, among others. Model Deployment: Collaborate with engineering teams to deploy models into production, ensuring scalability and reliability. Familiarity with model quantization, evaluation, and deployment formats like ONNX and GGUF is necessary. Problem-Solving: Utilize critical thinking and problem-solving skills to tackle intricate data challenges. Collaboration: Work effectively with data engineers, analysts, and domain experts to understand business requirements and translate them into actionable data insights. Qualifications Master's degree in Computer Science/Engineering. 4-5 years of experience in data science or a related field. Proficiency in the Python programming language. Experience with data analysis and visualization tools such as Pandas, NumPy, Matplotlib, and Seaborn. Knowledge of machine learning algorithms and techniques. Familiarity with deep learning frameworks like TensorFlow and PyTorch. Experience in natural language processing (NLP) and large language models (LLMs) is advantageous. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Preferred Qualifications Experience with the Go programming language. Preferable knowledge of acceleration frameworks like RAPIDS and Spark. Understanding of cloud platforms such as AWS, GCP, and Azure. Experience with data version control and MLOps practices. Location: Applicants must be authorized to work in the US Why Versa Benefits Versa Networks prioritizes the well-being and growth of its employees by offering a comprehensive benefits package that includes: Competitive Salary & Incentives: A competitive compensation package with pre-IPO equity to recognize and reward dedication and hard work. Health & Wellness: Comprehensive medical, dental, and vision insurance plans for the health and coverage of employees and their families. Paid Time Off (PTO): Generous PTO policy covering vacation days, sick leave, and paid holidays to allow for personal time and rejuvenation. Flexible Work Environment: Remote work flexibility and hybrid options for creating a work schedule that suits individual preferences. Professional Development: Access to training, certifications, and educational resources for continuous learning and career growth. Employee Recognition: Regular recognition programs and awards to celebrate individual contributions to collective success. Collaborative Culture: Join a dynamic, inclusive, and supportive team where innovation and collaboration drive all endeavors. Parental Leave: Generous policies for parental leave to support employees during significant life events. Versa Networks offers benefits designed to promote personal and professional growth, ensuring a rewarding career within a supportive environment that values health, happiness, and success. Join Versa Networks for a fulfilling and enriching career experience.,

As a GenAI, AI/ML Data Scientist with 2-10 years of experience, you will be responsible for utilizing your expertise in Python, Machine Learning, Flask/Fast API, and preferably Agentic AI Framework. Your primary focus will be on developing and implementing AI/ML solutions to drive business growth and innovation. You will be expected to collaborate with cross-functional teams to understand business requirements, design AI models, and deploy them effectively. Your role will involve working on cutting-edge technologies to build scalable and efficient AI solutions that meet the organization's objectives. To succeed in this role, you must have a strong foundation in Python programming, a deep understanding of Machine Learning algorithms, and experience in developing APIs using Flask/Fast API. Knowledge of the Agentic AI Framework would be a plus. If you are passionate about leveraging AI/ML technologies to solve complex business challenges and drive meaningful outcomes, we encourage you to apply for this position. Please send your resume to soumya.srivastava@innovaesi.com to be considered for this exciting opportunity.,