ml scientist

MAERSK

<div>The Brief
 
 
In this role as an AI/ML Scientist on the Global Data and Analytics (GDA) team, you will support the development of strategic, visibility-driven recommendation systems that serve both internal stakeholders and external customers. This initiative aims to deliver actionable insights that enhance supply chain execution, support strategic decision-making, and enable innovative service offerings.
 
 
You should be able to design, develop, and implement machine learning models, conduct deep data analysis, and support decision-making with data-driven insights. Responsibilities include building and validating predictive models, supporting experiment design, and integrating advanced techniques like transformers, GANs, and reinforcement learning into scalable production systems.
 
 
The role requires solving complex problems using NLP, deep learning, optimization, and computer vision. You should be comfortable working independently, writing reliable code with automated tests, and contributing to debugging and refinement.
 
 
You&rsquo;ll also document your methods and results clearly and collaborate with cross-functional teams to deliver high-impact AI/ML solutions that align with business objectives and user needs.
AI/ML Scientist &ndash; Global Data Analytics, Technology (Maersk) 
 
This position will be based in India &ndash; Bangalore/Pune
 
 
A.P. Moller - Maersk
 
 
A.P. Moller &ndash; Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers&rsquo; supply chains.
 
 
Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. 
 
As a performance-oriented company, we strive to always recruit the best person for the job &ndash; regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams.
What I'll be doing &ndash; your accountabilities? 
 
<ul><li>Design, develop, and implement machine learning models, conduct in-depth data analysis, and support decision-making with data-driven insights
</li><li>Develop predictive models and validate their effectiveness
</li><li>Support the design of experiments to validate and compare multiple machine learning approaches
</li><li>Research and implement cutting-edge techniques (e.g., transformers, GANs, reinforcement learning) and integrate models into production systems, ensuring scalability and reliability
</li><li>Apply creative problem-solving techniques to design innovative models, develop algorithms, or optimize workflows for data-driven tasks
</li><li>Independently apply data-driven solutions to ambiguous problems, leveraging tools like Natural Language Processing, deep learning frameworks, machine learning, optimization methods and simulation
</li><li>Understand technical tools and frameworks used by the team, including programming languages, libraries, and platforms and actively support debugging or refining code in projects
</li><li>Write and integrate automated tests alongside their models or code to ensure reproducibility, scalability, and alignment with established quality standards
</li><li>Contribute to the design and documentation of AI/ML solutions, clearly detailing methodologies, assumptions, and findings for future reference and cross-team collaboration
</li>Collaborate across teams to develop and implement high-quality, scalable AI/ML solutions that align with business goals, address user needs, and improve performance 
<li>
</li></ul> 
Foundational Skills 
 
<ul><li>Mastered Data Analysis and Data Science concepts and can demonstrate this skill in complex scenarios
</li><li>AI &amp; Machine Learning, Programming and Statistical Analysis Skills beyond the fundamentals and can demonstrate the skills in most situations without guidance. 
</li></ul> 
Specialized Skills 
 
<ul><li>To be able to understand beyond the fundamentals and can demonstrate in most situations without guidance:
<ul><li>Data Validation and Testing
</li><li>Data Analysis
</li><li>Simulation (Monte Carlo, Discrete Event and/or Agent-based)
</li><li>Model Deployment
</li><li>Machine Learning Pipelines
</li><li>Deep Learning
</li><li>Optimization &amp; Scientific Computing
</li><li>Decision Modelling and Risk Analysis.
</li></ul></li>To understand fundamentals and can demonstrate this skill in common scenarios with guidance:
Technical Documentation. 
<li><ul><li>
</li></ul></li></ul> 
Qualifications &amp; Requirements 
 
<ul><li>BSc/MSc/PhD in computer science, data science, mathematics, statistics or related discipline
</li><li>5+ years of years of relevant experience in the field of Data Science
</li><li>Excellent hands-on experience with Apache Spark, Python and SQL
</li><li>Strong experience with simulation methods (Monte Carlo, Discrete Event or Agent Based) and respective Python libraries (e.g. SimPy)
</li><li>Experience with collaborative development workflow: IDE (Integrated Development Environment), Version control(github), CI/CD (e.g. automated tests in github actions)
</li><li>Proven track record in working with large datasets and big data technologies to train and evaluate machine learning models.
</li><li>Communicate effectively with technical and non-technical audiences with experience in stakeholder management
</li><li>Structured, highly analytical mind-set and excellent problem-solving skills
</li><li>Self-starter, highly motivated &amp; Willing to share knowledge and work as a team
</li>An individual who respects the opinion of others; yet can drive a decision though the team 
<li>
</li></ul> 
Preferred Experiences 
 
<ul><li>Experience with containerization: Kubernetes &amp; Docker
</li><li>Expertise in building cloud native applications and data pipelines (Azure, Databricks, AWS, GCP) C
</li><li>Experience with common dashboarding and API technologies (PowerBI, Superset, Flask, FastAPI, etc
</li></ul>Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. 
We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com .</div>

AI/ML Scientist

<div><div><div><div><div>AI/ML Scientist (Operations research/Optimization/Simulation)
 
 
A.P. Moller - Maersk
 
 
A.P. Moller &ndash; Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers&rsquo; supply chains.
 
 
Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too.
The team - who are we:
We are an ambitious team with the shared passion to use data, data science (DS), machine learning (ML), advanced simulation, optimization and engineering excellence to make a difference for our customers. 
 
We are a team, not a collection of individuals. We value our diverse backgrounds, our different personalities and strengths &amp; weaknesses. We value trust and passionate debates. We challenge each other and hold each other accountable. We uphold a caring feedback culture to help each other grow, professionally and personally. 
 
We are now seeking a new team member who is excited about developing advanced simulation models,optimization algorithms and AI/ML solutions that create operational insights for container shipping terminals
worldwide, helping them optimize container handling, yard operations, vessel operations, and drive efficiency
and business value.
We Offer - This Is What You Get
You will be part of the APM Terminals team within Global data and analytics (GDA), responsible for developing and delivering advanced simulation models, optimizations and AI/ML models for container shipping
terminals. As an AI/ML Scientist, you will have a leading role in designing, building, maintaining, and
iterating on products that directly impact terminal operations. 
 
This position offers a unique opportunity to develop and apply your deep knowledge of simulation, optimization, data science methods, software engineering, and modern AI development tools to create
operational and strategic insights that are transforming container terminal operations globally.
 
This is an exciting time to join a growing and dynamic team that solves some of the toughest problems in
terminal operations and builds the future of container shipping. We offer a unique opportunity to impact global trade via world-leading container terminals. We focus on our people and the right candidate will have broad
possibilities to further develop competencies in an environment characterized by change and continuous Progress.
Key Responsibilities
<ul><li>Design, implement and deliver advanced simulation models and optimization solutions for terminal operations including container handling equipment efficiency, yard positioning strategies, vessel loading/unloading sequencing, and truck routing.
</li><li>Develop and maintain efficient applied engineering solutions that solve real-world operational challenges at container terminals globally.
</li><li>Build both operational tools for day-to-day terminal operations and strategic models for long-term planning and decision-making.
</li><li>Work with relevant stakeholders to understand terminal operational dynamics and business processes, incorporating their needs into products to enhance value delivery.
</li><li>Collaborate and communicate model rationale, results and insights with product teams, leadership and business stakeholders to roll out solutions to production environments.
</li><li>Analyse data, measure delivered value, and continuously evaluate and improve models to increase effectiveness and operational impact.
</li></ul>To do this job, we imagine you have:
<ul><li>5+ years of industry experience in building and delivering simulation models, optimization solutions, or data science products.
</li><li>PhD or M.Sc. in Operations Research, Industrial Engineering, Machine Learning, Statistics, Applied Mathematics, Computer Science, or other field related to algorithms and data (or equivalent experience).
</li><li>Strong experience in simulation modeling and optimization, particularly in operational environments with complex dynamics.
</li><li>Research or industry experience in one or more: Discrete event simulation, Combinatorial optimization problems (e.g., scheduling, vehicle routing, bin packing, sequencing), Continuous optimization problems (e.g., linear programming, mixed-integer programming, convex programming), AI/ML methods for operational problems, Prescriptive analytics (e.g., stochastic optimization, reinforcement learning).
</li><li>Experience with AI development tools and code assistants (GitHub Copilot, Cursor, Claude Code, or similar) for enhanced productivity.
</li><li>Excellent record of delivery using Python and technologies like Git, JIRA, etc.
</li><li>Ability to understand complex operational systems and translate business requirements into effective technical solutions.
</li><li>Strong communication skills with ability to work independently with stakeholders while liaising and reviewing with the team.
</li><li>Experience working with cloud environments.
</li></ul>Nice to have:
<ul><li>Experience in container terminal operations, port logistics, or similar operational environments with complex resource allocation and scheduling dynamics.
</li><li>Familiarity with container handling equipment, yard operations, or vessel operationsExperience in material handling, manufacturing operations, or other domains involving physical asset optimization and sequencing problems.
</li><li>Experience developing and interacting with generative AI models.
</li></ul></div></div></div></div>Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. 
We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com .</div>

AI/ML Scientist(Operations research/Optimization/Simulation)

Nykaa

<div>
 
 
 About the Team:
 
 Join the dynamic Nykaa Data Science team as a Machine Learning Scientist II. In this role, you will contribute to analyzing data and developing machine learning models that enhance the relevance and ranking of our search platforms. You will work closely with cross-functional teams to gather performance metrics, evaluate search outcomes, and optimize the user experience on Nykaa's platform. This position offers the opportunity to collaborate in a fast-paced environment and make a significant impact on our search functionalities.
 
 
 What are we looking for ?
 
 
 
 Education
 
 :
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s Degree in Data Science, Computer Science, Statistics, or a related field from a reputable institution.
 </li>
 </ul>
 
 
 Experience
 
 :
 
 <ul>
 <li>
 3+ years of industry experience in Data Science and building Machine Learning models.
 </li>
 <li>
 Demonstrated experience in building and deploying machine learning models that handle large datasets.
 </li>
 <li>
 Experience in Search Data Science, Natural Language Processing (NLP) tasks, or Vector Search is a plus.
 </li>
 </ul>
 
 
 Technical Skills
 
 :
 
 <ul>
 <li>
 Strong foundational knowledge in Probability Theory, Statistics, and Machine Learning.
 </li>
 <li>
 Proficiency with machine learning languages and frameworks such as Python, Numpy, Pandas, Scikit-Learn, PySpark, TensorFlow/PyTorch, XGBoost/LightGBM.
 </li>
 <li>
 Understanding of A/B testing methodologies and experience in designing, implementing, and analyzing experiments to evaluate search algorithm performance.
 </li>
 <li>
 Familiarity with best practices throughout all stages of the Data Science lifecycle, including data preprocessing, model training, evaluation, deployment and monitoring.
 </li>
 </ul>
 
 
 Soft Skills
 
 :
 
 <ul>
 <li>
 Demonstrated ownership and ability to deliver results on data-driven projects.
 </li>
 <li>
 Capability to manage multiple priorities in a fast-paced environment.
 </li>
 <li>
 Technical aptitude to quickly gr/asp complex technical issues and communicate effectively with both technical and non-technical teams.
 </li>
 </ul>
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 
 Search Optimization
 
 : Analyze user behavior insights in search and develop high-quality machine learning algorithms to improve search relevance and ranking.
 </li>
 <li>
 
 Model Development
 
 : Lead and mentor other machine learning scientists to promote learning, growth, and success within the team.
 </li>
 <li>
 
 Continuous Learning:
 
 Stay updated on advancements in the field of Machine Learning and apply these learnings to improve search algorithms.
 </li>
 <li>
 
 Customer Focus
 
 : Understand customer needs and leverage technology to enhance the search experience on Nykaa&rsquo;s platform.
 </li>
 <li>
 
 Documentation and Reporting
 
 : Document models, experiments, and processes. Present findings and insights to stakeholders to inform decision-making.
 </li>
 </ul>
 
 
</div>

ML Scientist II - Search

<div>Senior AI/ML Scientist(IC) (Simulation/Operations Research/Optimization) 
 
A.P. Moller - Maersk
 
A.P. Moller &ndash; Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers&rsquo; supply chains.
 
 
Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too.
The team - who are we:
We are an ambitious team with the shared passion to use data, data science (DS), machine learning (ML),advanced simulation, optimization and engineering excellence to make a difference for our customers. 
 
We are a team, not a collection of individuals. We value our diverse backgrounds, our different personalities and strengths &amp; weaknesses. We value trust and passionate debates. We challenge each other and hold each other accountable. We uphold a caring feedback culture to help each other grow, professionally and personally. 
 
We are now seeking a new team member who is excited about developing advanced simulation models, optimization algorithms and AI/ML solutions that create operational insights for container shipping terminals
worldwide, helping them optimize container handling, yard operations, vessel operations, and drive efficiency and business value.
We Offer - This Is What You Get
You will be part of the APM Terminals team within Global data and analytics (GDA), responsible for developing and delivering advanced simulation models, optimizations and AI/ML models for container shipping
terminals. As a Senior AI/ML Scientist, you will have a leading role in designing, building, maintaining, and iterating on products that directly impact terminal operations. 
 
This position offers a unique opportunity to develop and apply your deep knowledge of simulation, optimization, data science methods, software engineering, and modern AI development tools to create
operational and strategic insights that are transforming container terminal operations globally. 
 
This is an exciting time to join a growing and dynamic team that solves some of the toughest problems in terminal operations and builds the future of container shipping. We offer a unique opportunity to impact global
trade via world-leading container terminals. We focus on our people and the right candidate will have broad possibilities to further develop competencies in an environment characterized by change and continuous
Progress.
Key Responsibilities
<ul><li>Lead the design, implementation and delivery of advanced simulation models and optimization solutions for terminal operations including container handling equipment efficiency, yard positioning strategies, vessel loading/unloading sequencing, and truck routing.
</li><li>Develop and maintain efficient applied engineering solutions that solve real-world operational challenges at container terminals globally.
</li><li>Build both operational tools for day-to-day terminal operations and strategic models for long-term planning and decision-making.
</li><li>Coach and mentor junior team members in simulation modelling, optimization techniques, and AI/ML methods.
</li><li>Work with relevant stakeholders to understand terminal operational dynamics and business processes, incorporating their needs into products to enhance value delivery.
</li><li>Collaborate and communicate model rationale, results and insights with product teams, leadership and business stakeholders to roll out solutions to production environments.
</li><li>Analyse data, measure delivered value, and continuously evaluate and improve models to increase effectiveness and operational impact.
</li></ul>To do this job, we imagine you have:
<ul><li>7+ years of industry experience in building and delivering simulation models, optimization solutions, or data science products.
</li><li>PhD or M.Sc. in Operations Research, Industrial Engineering, Machine Learning, Statistics, Applied Mathematics, Computer Science, or other field related to algorithms and data (or equivalent experience).
</li><li>Strong experience in simulation modeling and optimization, particularly in operational environments with complex dynamics.
</li><li>Research or industry experience in one or more: Discrete event simulation, Combinatorial optimization problems (e.g., scheduling, vehicle routing, bin packing, sequencing), Continuous optimization problems (e.g., linear programming, mixed-integer programming, convex programming), AI/ML methods for operational problems, Prescriptive analytics (e.g., stochastic optimization, reinforcement learning).
</li><li>Experience with AI development tools and code assistants (GitHub Copilot, Cursor, Claude Code, or similar) for enhanced productivity.
</li><li>Excellent record of delivery using Python and technologies like Git, JIRA, etc.
</li><li>Ability to understand complex operational systems and translate business requirements into effective technical solutions.
</li><li>Experience in leading technical work, coaching junior colleagues, and driving projects from concept to delivery.
</li><li>Strong communication skills with ability to work independently with stakeholders while liaising and reviewing with the team.
</li><li>Ability to do system design, architecture, and solution design for new features.
</li><li>Experience working with cloud environments.
</li></ul>Nice to have:
<ul><li>Experience in container terminal operations, port logistics, or similar operational environments with complex resource allocation and scheduling dynamics.
</li><li>Familiarity with container handling equipment, yard operations, or vessel operationsExperience in material handling, manufacturing operations, or other domains involving physical asset optimization and sequencing problems.
</li><li>Experience developing and interacting with generative AI models.
</li></ul>Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. 
We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com .</div>

Senior AI/ML Scientist (Simulation/Optimization/Operations Research)

Peraton

<div>About Peraton 
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure. 
 
Program Overview 
 
About The Role 
 
**Position is Contingent Upon Award** 
 
Join Peraton in advancing the safety, efficiency, and modernization of the National Airspace System (NAS) through the FAA's Brand New Air Traffic Control System (BNATCS) contract. As a trusted partner to the Federal Aviation Administration, Peraton helps deliver the systems and services that keep our nation's skies safe and connected. 
 
We're looking for innovative professionals who thrive in mission-critical environments and are passionate about shaping the future of air traffic management. This is your chance to make an impact on one of the world's most vital transportation infrastructures, working alongside leaders in aviation, engineering, data science, and systems integration. 
 
At Peraton, you won't just support the mission - you'll define it. 
 
Join a team dedicated to protecting the safety and integrity of U.S. air travel. Peraton is seeking a AI Research Scientist to join our team of qualified, diverse individuals. The ideal candidate will influence national strategies and policies by guiding decisions on integrating next-generation technologies like Artificial Intelligence (AI), satellite navigation, and unmanned aircraft systems (UAS). Whether you're supporting safety validation efforts or leading teams on major FAA programs, your work will directly impact the millions of passengers and aviation professionals who rely on safe, efficient airspace operations every day. The AI Research Scientist will work with senior research scientists and managers to perform research and development of AI/ML technologies such as natural language processing and generative AI. 
 
The AI/ML Research Scientist will work with project leads and managers to perform research and development of AI/ML technologies, with primary focus on generative AI. Candidates are expected to work with R&amp;D teams to customize and apply developed technologies to address problems of interest to customers. Candidates are expected to possess ability and experience to perform cutting-edge AI/ML research under the supervision of managers.
 
 
Qualifications 
 
Required:
 
 
<ul><li>U.S. Citizenship Required.
</li><li>Must have the ability to obtain / maintain a Public Trust clearance
</li><li>Bachelor's degree and 8+ years, Master's degree and 6+ years, or PhD and 3+ years in Engineering, Computer Science, Physics, or a related technical field of experience
</li><li>Demonstratable AI/ML research experience, academic research publications in peer-reviewed international AI/ML conferences are required, unless similar qualifications can be demonstrated
</li><li>Expertise in one or more programming languages: C, C++, Python, Javascript
</li><li>Hands-on development experience in AI/ML model building and tuning
</li><li>Hands-on development experience of agentic AI
</li><li>Demonstratable proficiency in working with state-of-the-art large language models at the API level (During interviews on MS Teams, candidates are expected to use VSCode to execute tasks through programmatic interactions with OpenAI tool/function calling API)
</li><li>Modern software development practices and toolsets (Git, CI/CD toolchains)
</li></ul> 
Desired:
 
 
<ul><li>Machine learning libraries, such as TensorFlow, PyTorch, etc
</li><li>Anthropic's Model Context Protocol (MCP)
</li><li>End-to-end machine learning model and generative AI agent development experience
</li><li>Linux, containers such as Docker, and orchestration tools such as Kubernetes
</li><li>Hands-on AI/ML development experience in cloud environments, such as AWS Bedrock
</li><li>Full stack programming experience
</li><li>Azure cloud working experience
</li></ul> 
SCA / Union / Intern Rate or Range 
 
Details 
 
Target Salary Range: $135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
 
 
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.</div>

AI/ML Research Scientist

Apple

<div>Marcom is the globally led creative team responsible for Apple&rsquo;s consumer-facing marketing. We ensure the seamless execution of world-class communications across all media and platforms. Every day, hundreds of millions of Apple customers worldwide interact with our products. We drive the strategic and creative work that provides both new and existing customers with simple, engaging, and inspiring marketing experiences. As MP&amp;S DevOps Org, we are committed to continuous learning and delivering solutions on a global scale. By working with a diverse range of multi-functional teams, we are able to combine the best of our expertise to create interactive experiences with a skilled group of software engineers. We thoroughly enjoy the process! You will lead the machine learning project lifecycle, design virtual assistants, and develop advanced analytics to drive innovation and solve business challenges with AIOps expertise.
 
 
Description 
 
As an ML Engineer, you will oversee the machine learning project lifecycle, employing best practices and optimally managing software delivery. You will lead the design and development of virtual assistants utilizing Conversational AI platforms, fostering innovative concepts for impactful solutions. You will design and develop advanced analytic solutions across diverse functional areas, collaborating with business stakeholders to identify AI/ML challenges and capitalize on LLM technologies. You will provide technical support on LLM and GenAI usage, assist teams in adhering to best practices, and lead AIOps projects, prioritizing clustering, classification, anomaly detection, and capacity prediction. Proficiency in understanding requirements, designing conversational flows, and developing intent and entities for chatbots is crucial.
 
 
Responsibilities 
<ul><li>
Drive the entire machine learning project lifecycle with best practices and software delivery.
</li><li>Lead the design and development of virtual assistants using Conversational AI platforms.
</li>Engage with business stakeholders and leverage LLM technologies for advanced analytic solutions. 
<li>
</li></ul> 
 
Minimum Qualifications 
<ul><li>
5-7 years of experience implementing AI/ML models in enterprise systems.
</li><li>Deep understanding of AI/ML concepts, including supervised and unsupervised learning, deep learning, anomaly detection, and large language models.
</li><li>Expertise in Python and relevant libraries and frameworks (e.g., Pandas, Numpy, TensorFlow).
</li><li>Relevant experience in designing, developing, and deploying conversational bots.
</li><li>Experience working with Prometheus, Splunk, Datadog, and Grafana.
</li><li>Experience in NLP, NLU, ML, and Conversational AI.
</li><li>Expertise in seamlessly integrating bot systems with backend systems, databases, and APIs for smooth data exchange and interactions.
</li><li>Excellent troubleshooting and analytical skills in a complex, distributed environment.
</li><li>Excellent communication, presentation, and collaboration skills.
</li><li>Self-starter, capable of working independently.
</li></ul> 
Preferred Qualifications 
BS or MS in Engineering, Computer Science, or a related field. 
<ul><li>
</li></ul> 
 
Submit CV</div>

ML Data Scientist

Prodapt Solutions

Overview: 
GCP, Big Query, Python, Pyspark, Dataproc, Airflow, SQL
 
Responsibilities: 
GCP, Big Query, Python, Pyspark, Dataproc, Airflow, SQL
 
Requirements: 
GCP, Big Query, Python, Pyspark, Dataproc, Airflow, SQL

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