Job Title: Enabling Areas - IT - DM - Junior AI Architect Company: Deloitte Job Category: Machine Learning Roles & Responsibilities: Your work profile Architecture Design: Design end\-to\-end architecture for AI solutions, including data ingestion, processing, modeling, deployment, and monitoring. Define architecture patterns, components, and interfaces to ensure scalability, performance, and reliability. Technology Evaluation: Evaluate and select appropriate AI technologies, frameworks, and tools to support the implementation of AI solutions. Stay abreast of emerging AI trends and advancements to inform technology decisions and architectural design. Model Development and Optimization: Collaborate with data scientists and machine learning engineers to develop and optimize machine learning and deep learning models. Ensure best practices in model development, training, evaluation, and deployment. Integration and Deployment: Integrate AI solutions into existing systems and infrastructure. Define deployment strategies and processes for deploying AI models in production environments, including cloud\-based and edge computing platforms. Performance Monitoring and Optimization: Establish monitoring and optimization mechanisms to track the performance, accuracy, and efficiency of AI systems in production. Implement feedback loops and continuous improvement processes to optimize AI models and algorithms over time. Governance and Compliance: Define governance policies and practices for AI development, deployment, and usage. Ensure compliance with regulatory requirements, ethical standards, and privacy considerations in AI initiatives. Collaboration and Leadership: Collaborate with cross\-functional teams, including data scientists, engineers, product managers, and business stakeholders, to drive AI projects from concept to delivery. Provide technical leadership and mentorship to team members. Work Location: Mumbai, India Availability: Full time

Job Title: Data Science & Machine Learning Intern Company: Techiolaza Innovations Job Category: Machine Learning Roles & Responsibilities: The Data Science \& Machine Learning Internship is designed to equip candidates with practical knowledge of data science methodologies, statistical analysis, data preprocessing, machine learning algorithms, and predictive modeling techniques. Interns work with structured and unstructured datasets to discover meaningful patterns, develop intelligent predictive models, and solve real\-world problems using data\-driven approaches. The programme focuses on applying statistical techniques, building machine learning solutions, and transforming complex datasets into actionable insights that support business and technological decision\-making. Key Responsibilities * Collect, clean, preprocess, and transform structured and unstructured datasets using Python. * Perform exploratory data analysis (EDA) to identify patterns, trends, correlations, and anomalies. * Apply statistical techniques and mathematical concepts to analyze datasets and interpret results. * Perform feature engineering and feature selection to improve machine learning model performance. * Develop supervised and unsupervised machine learning models using classification, regression, and clustering algorithms. * Train, test, evaluate, and optimize predictive models using appropriate performance metrics. * Build predictive solutions for forecasting, customer behavior analysis, and other real\-world applications. * Visualize analytical findings and model performance using appropriate data visualization techniques. * Document experiments, model development processes, and analytical findings. * Present project results and technical insights to project managers and stakeholders. Work Location: In person Work Location: India Availability: Full time

Job Title: Databricks Developer Company: Jobbycart technologies private limited Job Category: Machine Learning Roles & Responsibilities: We are seeking a skilled Databricks Developer to design, build, and optimize big data solutions on the Databricks Lakehouse Platform. The ideal candidate will work with large\-scale data pipelines, collaborate with data engineering and analytics teams, and help drive data\-driven decision\-making across the organization. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines using Databricks, Apache Spark, and Delta Lake Develop and manage Databricks jobs, clusters, and workflows for batch and streaming data processing Implement Delta Lake architecture (bronze/silver/gold layers) for data lakehouse solutions Collaborate with data scientists to support machine learning model development and deployment (MLflow) Implement data quality checks, validation, and monitoring processes Manage version control, CI/CD pipelines for Databricks notebooks and workflows (e.g., using Databricks Repos, Git, Azure DevOps) Work Location: In person Work Location: TN, India Availability: Full time

Job Title: Data Analytics Associate Company: JPMorganChase Job Category: Machine Learning Roles & Responsibilities: JOB DESCRIPTION As a Financial Analytics Associate within our Asset and Wealth Management Transformation and Analytics Team, you will define, refine, and deliver strategic goals for our firm by translating complex financial and operational data into actionable insights, predictive models, and AI\-promoten solutions that enhance decision\-making and promote business performance. Job Responsibilities*:* * Scope, prioritize and co\-ordinate activities with product owners and finance stakeholders. Partner with Finance, Risk and Business teams to identify strategic analytical, data science and AI solutions. Perform in\-depth financial analysis including revenue, expense, margin, variance, profitability, product/client profitability and KPI analysis to support business decisions. * Design, develop and automate management reporting, dashboards and scorecards covering P\&L, balance sheet, cash flow, forecasts, budgets, headcount and performance metrics. Drive the annual budgeting, mid\-year re\-forecast, rolling forecast and multi\-year strategic planning cycles in partnership with Business Finance teams. * Implement exploratory data analysis (EDA) and statistical modelling to identify trends, patterns and drivers of financial performance. Identify key financial and operational data sources that can drive business impact; ensure data quality, reconciliation and audit trails across reporting outputs. * Design and develop data mining and reporting queries from large data sets (both structured and unstructured) and convert raw financial data into clear information. Build compelling visualizations and storytelling using BI tools (Tableau, Power BI, Alteryx) that translate financial results and model outputs into clear business narratives for senior leadership. * Employ scaling and automation to data preparation, consolidation and reporting workflows to improve efficiency and accuracy of recurring financial deliverables. Transform model outputs and analytical results into formats digestible to end users through visualizations, clear tables and thoughtful presentations; assist technical and non\-technical stakeholders in interpreting the analysis. * Leverage AI assistants and copilots (e.g., Microsoft 365 Copilot, GitHub Copilot, and in\-house Gen AI tooling) to accelerate analytics workflows — code generation, SQL/Python drafting, document summarization, and natural\-language querying of financial datasets — while applying firm\-approved controls on data confidentiality and model output review. * Self\-starter, attention to detail and results oriented, able to work under minimal guidance in a fast\-paced environment. * Uses pertinent financial data and facts to identify and solve a range of business problems within area of expertise. * Mandatory experience in financial analytics, FP\&A, management reporting, variance analysis and KPI/performance measurement. Strong understanding of accounting principles (US GAAP / IFRS), financial statements (P\&L, balance sheet, cash flow), journal entries, intercompany, allocations, accruals and month\-end close processes. * Working knowledge of profitability and performance metrics: unit economics, gross/operating margin, contribution margin, EBITDA, ROE/ROA, cost\-to\-income ratio, NIM, fee revenue and AUM\-based metrics. * Mandatory experience in Exploratory Data Analysis (EDA), regression and statistical/machine learning modelling applied to financial or business datasets. Hands\-on experience with pandas and PySpark/PySQL stack. Experience in building data extraction, transformation and modelling pipelines. * Strong proficiency in SQL (Snowflake, Databricks) and Python (Pandas, NumPy, Scikit\-learn, Keras, PySpark/PySQL) for data wrangling, modelling, AI pipelines and automation of financial workflows. Hands\-on experience using AI skills / copilots to support analytics work — e.g., Microsoft 365 Copilot (Excel, Power BI, Word, PowerPoint), GitHub Copilot, for SQL generation, data summarization and productivity gains in day\-to\-day financial analytics deliverables; awareness of responsible\-AI, data\-privacy and model\-risk guardrails. * Working proficiency in data visualization tools; strong experience with BI technologies including but not limited to Tableau, Power BI and Alteryx. Experience in end\-to\-end implementation of Business Intelligence (BI) reports and dashboards for finance, risk or business performance reporting. Should be good at mathematics, inferential statistics and quantitative analysis as applied to financial data and model building. * Provides explanations and information to others on topics within area of expertise; strong business partnering skills with Finance and Business stakeholders. * Experience Required: 5\+ years in data/analytics related projects with 2\+ years in financial analytics * Good communication and analytical skills, with the ability to present financial insights, model results and AI\-driven outputs clearly to senior stakeholders. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. J.P. Morgan Asset \& Wealth Management delivers industry\-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. Work Location: MH, India Availability: Full time

Job Title: Data Scientist (Gen/Agentic AI solutions) Company: Holcim Job Category: Machine Learning Roles & Responsibilities: About Holcim As the world’s global leader in innovative and sustainable building materials, Holcim is reinventing the way the world builds. Supported by a 45,000\-strong global team spread across 44 countries and four industry segments (Cement, Aggregates, Ready\-Mix Concrete and Solutions \& Products), we are committed to shaping a greener, smarter and healthier world. It’s our ambition to lead the industry in reducing carbon emissions and accelerating the transition towards low\-carbon constructions globally. Experience: * 8\+ years of progressive experience in data science and machine learning, with a minimum of 3 years focused on Generative AI and LLM\-based systems. * Demonstrated track record of delivering AI solutions at enterprise scale * Hands\-on experience with full AI/ML lifecycle management: data engineering, feature stores, model training, evaluation, deployment, and monitoring. * Industry experience especially in Manufacturing Function in a Building Material Industry, Manufacturing, Process or Pharma is preferred. Key Responsibility: * Platform Prototyping: Design and implement core ML components, such as feature stores, model registries, and automated evaluation pipelines. * Standardization: Establish best practices for the ML lifecycle, from data labeling and experimentation to CI/CD for ML (MLOps). * Scalability: Optimize model inference and training workflows to handle high\-throughput, low\-latency requirements. * Internal Consulting: Act as a subject matter expert for product\-facing data science teams, helping them leverage platform tools to solve complex business problems. * Tooling \& Automation: Build internal libraries and SDKs that simplify the transition from a local research environment to a distributed production environment. * RAG Infrastructure: Design and optimize high\-performance retrieval systems using vector databases (e.g., Pinecone, Weaviate) and advanced semantic search techniques. * LLM Evaluation Frameworks: Build automated "vibe\-check" replacements. Develop rigorous evaluation pipelines using LLM\-as\-a\-judge, G\-Eval, or custom scoring rubrics to measure hallucination, faithfulness, and relevancy. * Agentic Orchestration: Develop and standardize the use of agentic frameworks (e.g., LangGraph, CrewAI) to allow product teams to build complex, multi\-step AI workflows. * Model Lifecycle Management: Manage the transition between model providers (OpenAI, Anthropic, Google) and open\-source alternatives (Llama 3\+, Mistral) through unified abstraction layers. * Cost \& Latency Optimization: Implement caching strategies (e.g., GPTCache), prompt compression, and token\-usage monitoring to ensure the platform remains economically viable. * Guardrails \& Safety: Integrate real\-time content filtering and PII masking to ensure all LLM outputs comply with corporate security and ethical standards. Work Location: Navi Mumbai, Maharashtra, India Availability: Full time

Job Title: Junior Python with AI Engineer Company: Algoleap Technologies Job Category: Machine Learning Roles & Responsibilities: Role summary The Junior FDE builds, tests and supports AI solution modules on GCP under the guidance of the Senior FDE and POD Lead. The role suits an engineer who wants hands\-on GenAI delivery and regular client exposure. Key responsibilities          Develop and test Python modules, APIs and data pipelines for assigned features Deploy and maintain services on GCP (Cloud Run, Cloud Functions, Cloud Storage) Support voice and document workflows: configure speech and OCR services, test outputs, fix edge cases Voice and document management: familiarity with speech\-to\-text, text\-to\-speech or OCR / document extraction tools * 2\+ Years in Strong foundation in Python programming including functions, classes, object\-oriented programming (OOP), exception handling, file processing, and collection frameworks. * Understanding of core Python concepts including generators, decorators, list comprehensions, iterators, and package management. * Knowledge of fundamental Data Structures including Arrays, Strings, Linked Lists, Stacks, Queues, Hash Maps, Sets, and Trees. * Understanding of basic Algorithms including Sorting, Searching, Recursion, and Traversal techniques. * Ability to write clean, modular, maintainable, and testable Python code. * Basic understanding of time and space complexity analysis. * Experience solving coding problems through academic, personal, or professional projects. Work Location: Noida, India Availability: Full time

Job Title: Senior QA Engineering Manager Company: Cotiviti Job Category: Machine Learning Roles & Responsibilities: The Senior QA Engineering Manager leads quality engineering strategy and execution across one or more product portfolios, owning both the technical direction of test automation and the people leadership of a QA engineering organization. This leader partners closely with engineering, product, and delivery teams to embed quality throughout the software lifecycle, builds and scales high\-performing automation and QA team including offshore and distributed talent — and drives a zero\-defect culture through rigorous metrics, root cause analysis, and continuous improvement. The role blends hands\-on technical leadership in test automation architecture, CI/CD, and AI\-based testing with senior people\-management responsibilities such as hiring, coaching, and career development. Responsibilities Quality strategy and automation leadership * Define and own the test automation strategy across multiple products and portfolios, architecting scalable API\-first and UI automation suites built on shared, reusable test libraries * Guide teams to evaluate and adopt new tools and technologies \- including AI\-based test automation frameworks, and RPA \- to provide faster feedback to development teams * Establish the test strategy covering data management, pre\-production/staging environments, system integration, and end\-to\-end testing * Drive CI/CD practices and cloud\-based tooling (Azure/AWS) across the QA function * Oversee Quality Corrective Action Board (CAB) and Zero\-Defect Planning (ZDP) processes; track defect leakage and lead root cause analysis (RCA) to continuously improve test coverage * Actively participate in sprint planning and estimation, providing effort and timeline estimates for automation and QA deliverables to support predictable, on\-time releases * Define and report key quality metrics — including functional and automation test coverage, defect density, and test execution velocity — to drive data\-driven quality decisions Team leadership and people management * Lead, coach, and grow a team of QA and automation engineers and QA leads — including offshore and distributed staff — fostering an inclusive, high\-performing culture * Own hiring, onboarding, performance management, career development, and retention for the QA engineering organization * Set clear goals, provide regular feedback, and manage team knowledge\-building and cross\-training across key applications * Act as a change agent, championing quality ownership and continuous improvement across the QA program * Partner with product management, engineering, delivery, and operations to translate roadmap priorities into achievable, quality\-driven engineering plans * Develop effective relationships with key stakeholders — product owners, agile managers, business analysts, delivery teams, and technical working groups * Produce sprint\-level activity reports and quality metrics for senior management; support release\-readiness reporting and relevant New Product Development (NPD) phases * Communicate technical strategy, quality status, risks, and tradeoffs clearly to technical and non\-technical audiences. * Excellent verbal and written communication skills, with the ability to influence a wide range of audiences and win support without formal reporting authority * Strong organizational skills and adaptive to rapidly changing priorities and workloads * Comfortable partnering with remote and distributed team members across the US, India, and other geographies, within a matrixed organization * Results\-oriented, empowering leader with strong emotional intelligence and a demonstrated ability to coach and develop talent * Innovative and self\-motivated, with a strong sense of urgency and quality ownership * Exhibits behaviours consistent with Cotiviti values: Customer Driven, Accountability, Open, Collaborative This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change. Work Location: India Availability: Full time

Job Title: Data Analytics Associate Company: JPMorganChase Job Category: Machine Learning Roles & Responsibilities: JOB DESCRIPTION As a Financial Analytics Associate within our Asset and Wealth Management Transformation and Analytics Team, you will define, refine, and deliver strategic goals for our firm by translating complex financial and operational data into actionable insights, predictive models, and AI\-promoten solutions that enhance decision\-making and promote business performance. Job Responsibilities*:* * Scope, prioritize and co\-ordinate activities with product owners and finance stakeholders. Partner with Finance, Risk and Business teams to identify strategic analytical, data science and AI solutions. Perform in\-depth financial analysis including revenue, expense, margin, variance, profitability, product/client profitability and KPI analysis to support business decisions. * Design, develop and automate management reporting, dashboards and scorecards covering P\&L, balance sheet, cash flow, forecasts, budgets, headcount and performance metrics. Drive the annual budgeting, mid\-year re\-forecast, rolling forecast and multi\-year strategic planning cycles in partnership with Business Finance teams. * Implement exploratory data analysis (EDA) and statistical modelling to identify trends, patterns and drivers of financial performance. Identify key financial and operational data sources that can drive business impact; ensure data quality, reconciliation and audit trails across reporting outputs. * Design and develop data mining and reporting queries from large data sets (both structured and unstructured) and convert raw financial data into clear information. Build compelling visualizations and storytelling using BI tools (Tableau, Power BI, Alteryx) that translate financial results and model outputs into clear business narratives for senior leadership. * Employ scaling and automation to data preparation, consolidation and reporting workflows to improve efficiency and accuracy of recurring financial deliverables. Transform model outputs and analytical results into formats digestible to end users through visualizations, clear tables and thoughtful presentations; assist technical and non\-technical stakeholders in interpreting the analysis. * Leverage AI assistants and copilots (e.g., Microsoft 365 Copilot, GitHub Copilot, and in\-house Gen AI tooling) to accelerate analytics workflows — code generation, SQL/Python drafting, document summarization, and natural\-language querying of financial datasets — while applying firm\-approved controls on data confidentiality and model output review. * Self\-starter, attention to detail and results oriented, able to work under minimal guidance in a fast\-paced environment. * Uses pertinent financial data and facts to identify and solve a range of business problems within area of expertise. * Mandatory experience in financial analytics, FP\&A, management reporting, variance analysis and KPI/performance measurement. Strong understanding of accounting principles (US GAAP / IFRS), financial statements (P\&L, balance sheet, cash flow), journal entries, intercompany, allocations, accruals and month\-end close processes. * Working knowledge of profitability and performance metrics: unit economics, gross/operating margin, contribution margin, EBITDA, ROE/ROA, cost\-to\-income ratio, NIM, fee revenue and AUM\-based metrics. * Mandatory experience in Exploratory Data Analysis (EDA), regression and statistical/machine learning modelling applied to financial or business datasets. Hands\-on experience with pandas and PySpark/PySQL stack. Experience in building data extraction, transformation and modelling pipelines. * Strong proficiency in SQL (Snowflake, Databricks) and Python (Pandas, NumPy, Scikit\-learn, Keras, PySpark/PySQL) for data wrangling, modelling, AI pipelines and automation of financial workflows. Hands\-on experience using AI skills / copilots to support analytics work — e.g., Microsoft 365 Copilot (Excel, Power BI, Word, PowerPoint), GitHub Copilot, for SQL generation, data summarization and productivity gains in day\-to\-day financial analytics deliverables; awareness of responsible\-AI, data\-privacy and model\-risk guardrails. * Working proficiency in data visualization tools; strong experience with BI technologies including but not limited to Tableau, Power BI and Alteryx. Experience in end\-to\-end implementation of Business Intelligence (BI) reports and dashboards for finance, risk or business performance reporting. Should be good at mathematics, inferential statistics and quantitative analysis as applied to financial data and model building. * Provides explanations and information to others on topics within area of expertise; strong business partnering skills with Finance and Business stakeholders. * Experience Required: 5\+ years in data/analytics related projects with 2\+ years in financial analytics * Good communication and analytical skills, with the ability to present financial insights, model results and AI\-driven outputs clearly to senior stakeholders. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. J.P. Morgan Asset \& Wealth Management delivers industry\-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. Work Location: Mumbai, India Availability: Full time

Job Title: Staff Engineer: Verification of Power Management Company: SiFive Job Category: Machine Learning Roles & Responsibilities: As the pioneers who introduced RISC\-V to the world, SiFive is transforming the future of compute by bringing the limitless potential of RISC\-V to the highest performance and most data\-intensive applications in the world. SiFive’s unrivaled compute platforms are continuing to enable leading technology companies around the world to innovate, optimize and deliver the most advanced solutions of tomorrow across every market segment of chip design, including artificial intelligence, machine learning, automotive, data center, mobile, and consumer. With SiFive, the future of RISC\-V has no limits.* Our constant innovation and ongoing success is down to our amazing teams of incredibly talented people, who collaborate and support each other to come up with truly groundbreaking ideas and solutions. Solutions that will have a huge impact on people's lives; making the world a better place, one processor at a time. Job Description: Key Responsibilities: * 9\+ Years of experience in low power or power aware or power management * Experience with hands on UVM Test Bench development is must * Experience in core uArch is highly desirable. * Experience in leading effort and driving multiple projects * Experience with power simulation on vcs and upf. * Experience with script writing in Python, Perl or Tcl. * Experience with power impact at architecture, logic design, and circuit levels. * Excellent problem solving skill and ability to work in a dynamic and diverse environment. Work Location: Karnataka, India Availability: Full time

Job Title: Global AI/ML Engineer Manager Company: Boston Consulting Group Job Category: Machine Learning Roles & Responsibilities: Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963\. Today, we help clients with total transformation\-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom\-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading\-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. To realize our aspirations to build a Gen AI assistant that will transform the way BCG works, we are looking for LLM engineers who are passionate about designing, developing, and optimizing GenAI products. You will work within the LLM Squad and your Squad Leader in your domain of expertise, helping to advance the work and using your experience to maximize Squad performance. You will bring expertise in full stack development, Performance, and stability of custom\-built products. This role is involved in all aspects of LLM based application including LLM expertise, Data science/ML, backend development including API and core functional logic. Work would also involve documentation of all designs and development. Among your responsibilities, you will: Continuously developing your expertise: * Working with your Squad to achieve its mission by advancing tasks based on the priorities set by the product owner. * Collaborating cross\-functionally, leveraging your expertise to support the Squad’s goals and deliver impactful results. Identifying and supporting resource needs: * Actively embracing and supporting the organization’s new working models, including Agile practices. * Contributing to a positive and collaborative team culture by embodying the values of the new way of working * Being a highly skilled Senior AI and LLM Engineer. * Executing both planning and hands\-on technical work independently. * Collaborating effectively with Product Owners and other stakeholders to solve complex problems. * Working cross\-functionally to contribute to impactful solutions across teams. * Continuously developing your technical expertise and staying up\-to\-date with new technologies. * Being passionate, intellectually curious, and driven to expand your skills and knowledge. * Using a data\-driven approach to solve technical challenges and make informed decisions. * Applying your systems\-level thinking, integrating both data science and engineering principles. * Taking full ownership of the features and projects you work on, delivering high\-quality solutions on your own. BCG pioneered strategy consulting more than 50 years ago, and we continue to innovate and redefine the industry. We offer multiple career paths for the world’s best talent to have a real impact on business and society. As part of our team, you will benefit from the breadth and diversity of what we are doing today and where we are headed next. We count on your authenticity, exceptional work, and strong integrity. In return we are committed to supporting you in discovering the most fulfilling career journey possible—and unlocking your At BCG, our people and relationships are at the heart of everything we do. We believe that in\-person collaboration plays an important role in our culture, mentorship, and professional development. For this role, you will generally be expected to work from a BCG office or in person with clients on a regular basis (typically around 50% of working time), depending on business needs and in line with local policies and practices. Work Location: Haryana, India Availability: Full time