7 Ml Solutions Jobs

TheMathCompany or MathCo is a global Enterprise AI and Analytics company trusted for data-driven decision-making by leading Fortune 500 and Global 2000 enterprises. Founded in 2016, MathCo builds custom AI and advanced analytics solutions focused on enterprise problem-solving through its innovative hybrid model. NucliOS, MathCos proprietary platform with pre-built workflows and reusable plug-and-play modules, enables the vision of connected intelligence at a lower TCO. For our employees, we foster an open, transparent, and collaborative culture with no barriers, making MathCo a great place to work. We provide exciting growth opportunities, value capabilities, and attitude over experience, enabling the Mathemagicians to Leave a Mark. Responsibilities Responsible for designing, building, and maintaining scalable AI solutions Develop and implement advanced Generative AI solutions (LLMs, embeddings, retrieval techniques, prompt engineering) Ensure that data architectures and infrastructure can scale seamlessly as the data volume and complexity grow Lead, mentor, and develop a team of AI Engineers, fostering a collaborative and inclusive team environment Identify and address skill gaps, and provide opportunities for professional development Coordinate with stakeholders to gather requirements, set priorities, and define project timelines Ensure projects align with overall business objectives and data strategy Ensure data quality, integrity, and security across all data engineering projects Identify opportunities for process improvements and drive initiatives to enhance the efficiency and effectiveness of data operations Ability to build/drive reusable frameworks that can drive efficiency of the overall data system Manages conversation with the client stakeholders to understand the requirement and translate it into technical outcomes Required Skills (Must have) Tech: Experience of 4.5 - 7 years in development and deployment of scalable AI/ML solutions Has strong execution knowledge of Data Modeling, Databases in general (SQL and NoSQL), software development lifecycle and practices, unit testing, functional programming, etc Develop and implement advanced Generative AI solutions (LLMs, embeddings, retrieval techniques, prompt engineering) Design and optimize Retrieval-Augmented Generation (RAG) solutions Manage Databricks workflows, including job and cluster creation also Databricks API Apply data structures and algorithms knowledge, including multiprocessing and optimization techniques Utilize Python libraries (Pandas, Numpy, FastAPI) for data processing and API development Perform SQL optimization and database architecture design (schema creation, normalization, functions, triggers) Deploy and orchestrate AI models using Docker and Kubernetes Collaborate using GitHub for version control and team collaboration Work with cloud platforms for AI solution deployment and management (Azure, GCP, AWS) Utilize PySpark for data processing (optional) Basic understanding of CI/CD pipelines and deployment process Non-Tech: Strong problem-solving skills with an ability to assess the financial impact of decisions, both in running the delivery team and delivering solutions to clients Proficient in written and verbal communication and able to hold conversations with mid-management-level clients Ability to recognize pragmatic alternatives vis--vis a perfect solution and get the delivery teams on board to pursue them, balancing time priorities with potential business impact Strong people skills, including conflict resolution, empathy, communication, listening, and negotiation Shows proficiency in providing technical guidance and provide leadership and mentorship to the delivery team Self-driven with a strong sense of ownership Good to Have Skills Familiarity with data visualization tools and techniques Knowledge of data security and privacy practices Understanding of data governance and compliance frameworks Experience with graph databases and graph processing frameworks Experience with data virtualization and data federation techniques Proficiency in data profiling and data quality management Show more Show less

As an experienced AI/ML Delivery Manager/Account Manager, you will be responsible for leading global banking client applications with a focus on AI and ML solutions. Your role will involve managing large-scale IT projects, building and maintaining strong client relationships, and ensuring the successful delivery of high-quality solutions. Your expertise in IT project management, particularly in the banking or financial services sector, will be crucial in delivering projects that meet client expectations and timelines. Your key responsibilities will include managing and delivering large-scale IT projects for global banking clients, fostering strong client relationships by understanding their business needs, leading cross-functional teams to ensure project success, developing and executing project plans, resource allocation, and risk management. Collaboration with sales teams to identify new opportunities and enhance existing client relationships will also be a key aspect of your role. To excel in this position, you must possess 18-20 years of experience in IT project management, a deep understanding of banking applications, technology, and industry trends, exceptional client relationship management and communication skills, a proven track record of delivering successful projects and managing large teams, as well as strong leadership, problem-solving, and analytical abilities. While not mandatory, experience in Agile methodologies and project management tools, knowledge of banking regulations and compliance, certification in project management (e.g., PMP, PRINCE2), and familiarity with AI and ML solutions and technologies would be advantageous for this role. If you are excited about this opportunity and possess the required qualifications and experience, please share your CV with the provided contact email.,

Role Overview As a Senior ML Engineer / Data Engineer, you will architect, build, and scale end-to-end data and ML solutions that power critical business use cases. You will collaborate with cross-functional teams to deploy production-grade machine learning models, design robust data pipelines, and ensure the integrity and availability of our data assets. Key Responsibilities ML Model Deployment & Operations Productionize, monitor, and maintain machine learning models in a scalable and secure environment Implement CI/CD pipelines for model versioning, testing, and roll-outs Perform model performance tuning and continual retraining strategies Data Pipeline Development Design, build, and optimize scalable ETL/ELT pipelines using PySpark, Python, and SQL Integrate and stream data with Apache Kafka for real-time processing scenarios Orchestrate workflows with Airflow (or equivalent orchestration tools) Data Architecture & Governance Collaborate on the design of the enterprise data warehouse and data lake architectures Define data modeling standards and maintain data catalogs Ensure data quality, lineage, and compliance with governance policies Containerization & Infrastructure Containerize applications and services using Docker (and Kubernetes familiarity is a plus) Work closely with DevOps to automate deployments and manage infrastructure as code Cross-functional Collaboration Partner with Data Scientists, BI teams, and Product Owners to translate analytics requirements into technical solutions Mentor junior engineers and conduct code reviews to uphold engineering best practices Required Qualifications Experience: 8+ years in Data Engineering and/or Machine Learning Engineering roles Languages & Tools: Python (expert-level proficiency) SQL (advanced querying, performance tuning) PySpark (building distributed data processing jobs) Apache Kafka (pub/sub, stream processing) Containerization: Solid hands-on experience with Docker; familiarity with Kubernetes beneficial ETL & Data Warehousing: Proven track record designing and operating ETL pipelines; experience with commercial or open-source DW platforms (e.g., Snowflake, Redshift, Hive) Orchestration: Experience with workflow orchestration tools (Apache Airflow or equivalent) Soft Skills: Strong problem-solving, communication, and mentoring abilities Preferred Qualifications Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-Learn) Exposure to cloud platforms (AWS, GCP, or Azure) and their managed data/ML services Knowledge of infrastructure-as-code tools (Terraform, CloudFormation) Familiarity with monitoring/logging stacks (Prometheus, ELK) Publications or contributions to open-source projects in data engineering or ML

You are a highly motivated and technically strong Data Scientist / MLOps Engineer with 13 years of experience, looking to join our growing AI & ML team in Kolkata. Your role will involve designing, developing, and deploying scalable machine learning solutions with a focus on operational excellence, data engineering, and GenAI integration. Your key responsibilities will include building and maintaining scalable machine learning pipelines using Python, deploying and monitoring models using MLFlow and MLOps stacks, designing and implementing data workflows with PySpark, and leveraging standard data science libraries for model development. You will also work with GenAI technologies such as Azure OpenAI and collaborate with cross-functional teams to meet business objectives. To excel in this role, you must have expertise in Python for data science and backend development, solid experience with PostgreSQL and MSSQL databases, hands-on experience with data science packages like Scikit-Learn, Pandas, Numpy, and Matplotlib, as well as experience with Databricks, MLFlow, and Azure. A strong understanding of MLOps frameworks and deployment automation is essential, along with prior exposure to FastAPI and GenAI tools like Langchain or Azure OpenAI. Preferred qualifications include experience in the Finance, Legal, or Regulatory domain, working knowledge of clustering algorithms and forecasting techniques, and previous experience in developing reusable AI frameworks or productized ML solutions. You should hold a B.Tech in Computer Science, Data Science, Mechanical Engineering, or a related field. By joining us, you will work on cutting-edge ML and GenAI projects, be part of a collaborative and forward-thinking team, and have opportunities for rapid growth and technical leadership. This is a full-time position based in Kolkata, with benefits including leave encashment, paid sick time, paid time off, Provident Fund, and work from home options. If you meet the required qualifications and are excited about the prospect of working in a dynamic AI & ML environment, we encourage you to apply before the application deadline of 02/08/2025. The expected start date for this position is 04/08/2025.,

As a ServiceNow AI Developer/Consultant, you will be responsible for designing and implementing intelligent workflows and AI-powered features on the ServiceNow platform. Your role will involve leveraging your expertise in ServiceNow development along with a solid understanding of AI/ML technologies like predictive intelligence, Virtual Agent, and Natural Language Understanding (NLU). Your key responsibilities will include designing and implementing AI features such as Virtual Agent, Predictive Intelligence, and NLU within the ServiceNow environment. You will also be tasked with configuring and customizing ServiceNow modules such as ITSM, CSM, HRSD, or FSM with AI-driven enhancements and integrating external AI platforms like OpenAI or Azure AI for advanced use cases. Collaboration with stakeholders to identify opportunities for AI automation and efficiency improvements will be a crucial aspect of your role. Setting up and fine-tuning Now Assist and related capabilities within the ServiceNow ecosystem, developing Virtual Agent topics and decision trees, and implementing predictive models using ServiceNow's Predictive Intelligence are among the key tasks that you will handle. Moreover, you will create, manage, and test custom ML solutions within ServiceNow Studio or via APIs, ensuring high-quality documentation, test coverage, and governance of AI models and features. It will be essential for you to stay abreast of the latest trends in ServiceNow and AI, keeping up with new releases and best practices in the field.,

About the role You will have a vital role in developing complex solutions and deploying transformative data products. You will work in a team responsible for building Analytical insights, recommendation engines and boutique algorithms. You will identify new areas to apply data science to improve business performance. As a digital marketplace with millions of reviews and insights from our clients, there are limitless opportunities to apply your skills in data science. You will cover a broad and evolving set of responsibilities as you build data science capabilities at RCD versatility, adaptability, and self-sufficiency will be critical to success. As a member of the Gartner family, you will have access to industry-leading research on analytics and data science solutions to help you deliver more engaging and relevant content for software buyers and improve the volume and quality of buyer leads for software sellers. What will you do: Research & Development Research, design, and implement advanced machine learning (ML) and data algorithms, with a focus on analyzing text data and extracting actionable insights. Stay current with the latest advancements in large language models (LLMs), generative AI (GenAI), and related technology trends to ensure the adoption of cutting-edge techniques. ML Models Development & Optimization Build and deploy ML models that facilitate effective matching of buyers to relevant content, enhancing the buyers journey. Fine-tune pre-trained language models for specific business use cases, optimizing for accuracy, performance, and domain relevance. End-to-End Solution Delivery Lead the end-to-end development lifecycle of ML solutions, from rapid prototyping to full-scale productization. Ensure seamless integration of ML solutions into existing systems and workflows, maintaining high standards of reliability and scalability. Collaboration & Stakeholder Engagement Work closely with Engineering and Product Management teams to align on and execute the data science roadmap. Gather and analyze requirements from stakeholders, ensuring solutions are tailored to business needs and deliver measurable value. Data Infrastructure & Solution Design Play a hands-on role in the design and implementation of robust data warehousing solutions to support scalable analytics and ML initiatives. Ensure data quality, integrity, and security throughout the data lifecycle. Agile Delivery & Continuous Improvement Participate in Agile Scrum ceremonies and processes, driving the iterative delivery of high-quality ML solutions. Lead efforts in testing, validation, and post-rollout continuous improvement to maximize business impact and solution effectiveness. What you’ll need Bachelor’s degree in computer science, Information Systems, or a related field, or equivalent hands-on experience in software development. 6-8 years of professional experience in software engineering and/or data warehousing, with a proven track record of delivering solutions in Agile Scrum environments. Proficiency in Python and a solid understanding of Object-Oriented Programming (OOP) principles. Demonstrated expertise in machine learning models , with hands-on experience working with AWS cloud services and Cassandra databases. Familiarity with AWS ML tools and best practices for deploying and managing scalable machine learning solutions in the cloud. Must be proficient in: Machine learning extraction mechanisms using AWS , including operationalizing end-to-end ML solutions in the cloud. Entity-Relationship (ER) modeling and expertise in T-SQL for effective data modeling and management. SQL query and dataset optimization to ensure high performance and scalability. Experience with version control systems (e.g., Git, SVN) for collaborative software development. Good to have skills: Generative AI techniques , including tokenization, word embeddings, and advanced prompting strategies. Solid understanding of foundational concepts such as Transformers and Self-Attention mechanisms underpinning large language models (LLMs). Strong proficiency in querying languages such as SQL, and hands-on experience with data transformation packages including Python’s Pandas, Polars, or Dask. Proficient in using data visualization libraries such as ggplot2, Plotly, and Matplotlib to create insightful and actionable visual representations. Familiarity with dashboard and reporting tools for effective data presentation and business intelligence. Experience working with cloud computing platforms and tools, such as AWS and Azure, for scalable application and data solution deployment. Who you are: A strong, passionate, empathetic engineer, who can work is able to work collaboratively with senior leadership, peers, and project team to deliver solutions on time, within budget, keeping the morale high Self-starter, with a demonstrated ability to learn beyond formal training with a strong aptitude for delivering quality products Passionate about learning new technologies Proficiency in project tracking tools like Jira for effective project management and delivery tracking. Strong ability to interpret and manage client expectations , proactively identifying and resolving issues that could impact project delivery. Excellent interpersonal skills with a proven ability to work effectively within a matrixed and distributed team environment. Demonstrated problem-solving skills and the ability to work both independently and collaboratively in a fast-paced setting. Exceptional organizational and analytical skills , with keen attention to detail and the ability to maintain a strategic, big-picture perspective. What we offer: In addition to an outstanding work environment with rapid advancement potential, Gartner associates enjoy exceptional compensation and benefits, including: An upbeat, positive culture. Integrity, objectivity, collaboration, results and a no-limits mindset are central to our values Limitless growth. We work with you to help you meet your goals and advance within the company Encouragement to be innovative and challenge status quo Exposure to industry leading training and development Performance based recognition and rewards

About the role You will have a vital role in developing complex solutions and deploying transformative data products. You will work in a team responsible for building Analytical insights, recommendation engines and boutique algorithms. You will identify new areas to apply data science to improve business performance. As a digital marketplace with millions of reviews and insights from our clients, there are limitless opportunities to apply your skills in data science. You will cover a broad and evolving set of responsibilities as you build data science capabilities at RCD versatility, adaptability, and self-sufficiency will be critical to success. As a member of the Gartner family, you will have access to industry-leading research on analytics and data science solutions to help you deliver more engaging and relevant content for software buyers and improve the volume and quality of buyer leads for software sellers. What will you do: Research & Development Research, design, and implement advanced machine learning (ML) and data algorithms, with a focus on analyzing text data and extracting actionable insights. Stay current with the latest advancements in large language models (LLMs), generative AI (GenAI), and related technology trends to ensure the adoption of cutting-edge techniques. ML Models Development & Optimization Build and deploy ML models that facilitate effective matching of buyers to relevant content, enhancing the buyer’s journey. Fine-tune pre-trained language models for specific business use cases, optimizing for accuracy, performance, and domain relevance. End-to-End Solution Delivery Lead the end-to-end development lifecycle of ML solutions, from rapid prototyping to full-scale productization. Ensure seamless integration of ML solutions into existing systems and workflows, maintaining high standards of reliability and scalability. Collaboration & Stakeholder Engagement Work closely with Engineering and Product Management teams to align on and execute the data science roadmap. Gather and analyze requirements from stakeholders, ensuring solutions are tailored to business needs and deliver measurable value. Data Infrastructure & Solution Design Play a hands-on role in the design and implementation of robust data warehousing solutions to support scalable analytics and ML initiatives. Ensure data quality, integrity, and security throughout the data lifecycle. Agile Delivery & Continuous Improvement Participate in Agile Scrum ceremonies and processes, driving the iterative delivery of high-quality ML solutions. Lead efforts in testing, validation, and post-rollout continuous improvement to maximize business impact and solution effectiveness. What you’ll need Bachelor’s degree in computer science, Information Systems, or a related field, or equivalent hands-on experience in software development. 6-8 years of professional experience in software engineering and/or data warehousing, with a proven track record of delivering solutions in Agile Scrum environments. Proficiency in Python and a solid understanding of Object-Oriented Programming (OOP) principles. Demonstrated expertise in machine learning models , with hands-on experience working with AWS cloud services and Cassandra databases. Familiarity with AWS ML tools and best practices for deploying and managing scalable machine learning solutions in the cloud. Must be proficient in: Machine learning extraction mechanisms using AWS , including operationalizing end-to-end ML solutions in the cloud. Entity-Relationship (ER) modeling and expertise in T-SQL for effective data modeling and management. SQL query and dataset optimization to ensure high performance and scalability. Experience with version control systems (e.g., Git, SVN) for collaborative software development. Good to have skills: Generative AI techniques , including tokenization, word embeddings, and advanced prompting strategies. Solid understanding of foundational concepts such as Transformers and Self-Attention mechanisms underpinning large language models (LLMs). Strong proficiency in querying languages such as SQL, and hands-on experience with data transformation packages including Python’s Pandas, Polars, or Dask. Proficient in using data visualization libraries such as ggplot2, Plotly, and Matplotlib to create insightful and actionable visual representations. Familiarity with dashboard and reporting tools for effective data presentation and business intelligence. Experience working with cloud computing platforms and tools, such as AWS and Azure, for scalable application and data solution deployment. Who you are: A strong, passionate, empathetic engineer, who can work is able to work collaboratively with senior leadership, peers, and project team to deliver solutions on time, within budget, keeping the morale high Self-starter, with a demonstrated ability to learn beyond formal training with a strong aptitude for delivering quality products Passionate about learning new technologies Proficiency in project tracking tools like Jira for effective project management and delivery tracking. Strong ability to interpret and manage client expectations , proactively identifying and resolving issues that could impact project delivery. Excellent interpersonal skills with a proven ability to work effectively within a matrixed and distributed team environment. Demonstrated problem-solving skills and the ability to work both independently and collaboratively in a fast-paced setting. Exceptional organizational and analytical skills , with keen attention to detail and the ability to maintain a strategic, big-picture perspective. What we offer: In addition to an outstanding work environment with rapid advancement potential, Gartner associates enjoy exceptional compensation and benefits, including: An upbeat, positive culture. Integrity, objectivity, collaboration, results and a no-limits mindset are central to our values Limitless growth. We work with you to help you meet your goals and advance within the company Encouragement to be innovative and challenge status quo Exposure to industry leading training and development Performance based recognition and rewards